Online Course in Natural Sciences

Best Online Courses in Natural Sciences 2017

Natural Sciences

Online courses in Natural Sciences bring the academic experience of learning about key theories and practices in scientific fields, the scientific process, research, and communicating results to the student, wherever he or she is located. Accredited universities and institutions around the world offer online courses in Natural Sciences to working professionals, full time students, recent graduates or anyone else with a professional or personal interest in the subject.

Using the latest e-learning technologies, such as satellite conferencing, classroom forums, online research databases, file sharing, email and more, professors and students are in close contact during online courses in Natural Sciences. Online courses in Natural Sciences can last anywhere from a few days to two years, and some culminate with the presentation of a diploma or certificate to successful pass graduates. Whether you choose to study Water Resources Management in Australia, Responsible Management for Sustainability in Brazil, or another course entirely, there are a variety of online courses in Natural Sciences at notable universities listed below.

If you are interested in reading more about how you can develop key qualifications, knowledge and skills in a science-related field through online courses in Natural Sciences, simply scroll down and click to read more. You can request information about online courses from schools of interest in just one minute!

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Asbestos Awareness for Architects and Designers

New Skills Academy
Online Part time 2 hours Open Enrollment United Kingdom UK Online

This course covers the same subjects as our Asbestos Awareness course with an additional module aimed specifically at architects and designers working with buildings that may contain asbestos. It provides information about the legislation governing asbestos in work and outlines the responsibilities of architects and designers. [+]

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Asbestos is probably the most dangerous building material ever used. Every year thousands of people fall ill and die because of exposure to asbestos and it was widely used by the construction industry right up until the year 2000. The Control of Asbestos Regulations 2012 apply to employers, employees, self employed persons and duty holders and cover all work with asbestos containing materials. Regulation 10 of CAR states that every employer must ensure that adequate information, instruction and training is given to employees who are liable to be exposed to asbestos. This includes maintenance workers and others who may come into contact with or disturb asbestos. This course covers the same subjects as our Asbestos Awareness course with an additional module aimed specifically at architects and designers working with buildings that may contain asbestos. It provides information about the legislation governing asbestos in work and outlines the responsibilities of architects and designers. What you will Learn / Course Modules Properties and Risks of Asbestos Exposure Different Types of Asbestos Avoiding the Risks from Asbestos An Outline of Asbestos Legislation Content for Architects and Designers [-]

Asbestos Awareness - Certified

New Skills Academy
Online Part time 2 hours Open Enrollment United Kingdom UK Online

This course covers all areas of asbestos awareness and is designed for anyone who may come into contact with asbestos in their work. Most commonly, that includes builders, plumbers, electricians, carpenters and other building related and maintenance trades. The course consists of 4 modules with questions at the end. The modules cover areas such as recognising asbestos, where it is used, minimising the risks and legislation about working with asbestos. [+]

Apply Now - Special Offer

Asbestos is probably the most dangerous building material ever used. Every year thousands of people fall ill and die because of exposure to asbestos and it was widely used by the construction industry right up until the year 2000. The Control of Asbestos Regulations 2012 apply to employers, employees, self employed persons and duty holders and cover all work with asbestos containing materials. Regulation 10 of CAR states that every employer must ensure that adequate information, instruction and training is given to employees who are liable to be exposed to asbestos. This includes maintenance workers and others who may come into contact with or disturb asbestos. This course covers all areas of asbestos awareness and is designed for anyone who may come into contact with asbestos in their work. Most commonly, that includes builders, plumbers, electricians, carpenters and other building related and maintenance trades. The course consists of 4 modules with questions at the end. The modules cover areas such as recognising asbestos, where it is used, minimising the risks and legislation about working with asbestos. What you will Learn / Course Modules Properties and Risks of Asbestos Exposure Different Types of Asbestos Avoiding the Risks from Asbestos An Outline of Asbestos Legislation [-]

Basic Legionella Management - Certified

New Skills Academy
Online Part time 2 hours Open Enrollment United Kingdom UK Online

This course explains the background to Legionella, the potential risks associated with water systems and how these can be prevented or controlled. It helps you to understand the risk that Legionella poses and helps you develop the systems and working practices you need to stay ahead. [+]

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Current legislation set out by the Health and Safety at Work Act 1974 along with the HSE’s updated code of practice known as L8 which was published in 2001, states that Companies and building owners have a legal duty to manage Legionella. Our interactive video based training course is aimed at all employers and staff to assist them in identifying the danger that Legionella poses, as well as covering ways to identify & assess sources of risk from Legionella in the premises and implement & manage a control programme. This course explains the background to Legionella, the potential risks associated with water systems and how these can be prevented or controlled. It helps you to understand the risk that Legionella poses and helps you develop the systems and working practices you need to stay ahead. It gives you enough knowledge to get a Legionella control programme off the ground yourself – or make confident, informed choices when commissioning others to take this on for you. What you will Learn / Course Modules What is Legionella? Risk Areas Legislation Risk Management Water System Monitoring Cooling System Awareness [-]

COSHH - Certified

New Skills Academy
Online Part time 2 - 3 hours Open Enrollment United Kingdom UK Online

This course covers what you need to know about the Control of Substances Hazardous to Health(COSHH). It’s aimed at anyone who is exposed to Substances Hazardous to Health at work, as well as line managers with responsibility for such people. [+]

Apply Now - Special Offer

This course covers what you need to know about the Control of Substances Hazardous to Health(COSHH). It’s aimed at anyone who is exposed to Substances Hazardous to Health at work, as well as line managers with responsibility for such people. So what do we mean by ‘Substances Hazardous to Health’? In legal terms, these are substances that are classified as “very toxic, toxic, harmful, corrosive or Irritant” under the Classification, Labelling and Packaging Regulation (CLP). This was a new regulation that came into force in January 2009 dovetailing with a set of regulations called REACH. REACH is a European Union regulation concerning the Registration, Evaluation, Authorisation and Restriction of Chemicals, which came into force on 1st June 2007. One of the main aims of REACH is to provide a high level of protection for human health and the environment from the use of chemicals. What you will Learn Introducing COSHH Different Types of Hazard Different Types of Exposure Regulations and Approved Labelling Assessing COSHH Risks The Risk Assessment in Practice Exposure Control Staying in Control Training and Emergency Planning [-]

Course in Methods and Statistics in Social Sciences (Beginner)

Coursera
Online Part time 10 months Open Enrollment USA USA Online

This Specialization covers research methods, design and statistical analysis for social science research questions. In the final Capstone Project, you’ll apply the skills you learned by developing your own research question, gathering data, and analyzing and reporting on the results using statistical methods. [+]

Top Online Courses in Natural Sciences. Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions. This Specialization covers research methods, design and statistical analysis for social science research questions. In the final Capstone Project, you’ll apply the skills you learned by developing your own research question, gathering data, and analyzing and reporting on the results using statistical methods. Courses Quantitative Methods Discover the principles of solid scientific methods in the behavioral and social sciences. Join us and learn to separate sloppy science from solid research! This course will cover the fundamental principles of science, some history and philosophy of science, research designs, measurement, sampling and ethics. The course is comparable to a university level introductory course on quantitative research methods in the social sciences, but has a strong focus on research integrity. We will use examples from sociology, political sciences, educational sciences, communication sciences and psychology. Qualitative Research Methods In this course you will be introduced to the basic ideas behind the qualitative research in social science. You will learn about data collection, description, analysis and interpretation in qualitative research. Qualitative research often involves an iterative process. We will focus on the ingredients required for this process: data collection and analysis. You won't learn how to use qualitative methods by just watching video's, so we put much stress on collecting data through observation and interviewing and on analysing and interpreting the collected data in other assignments. Obviously, the most important concepts in qualitative research will be discussed, just as we will discuss quality criteria, good practices, ethics, writing some methods of analysis, and mixing methods. We hope to take away some prejudice, and enthuse many students for qualitative research. Basic Statistics Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the course Inferential Statistics. In the first part of the course we will discuss methods of descriptive statistics. You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance). Next, we discuss how to assess relationships between variables, and we introduce the concepts correlation and regression. The second part of the course is concerned with the basics of probability: calculating probabilities, probability distributions and sampling distributions. You need to know about these things in order to understand how inferential statistics work. The third part of the course consists of an introduction to methods of inferential statistics - methods that help us decide whether the patterns we see in our data are strong enough to draw conclusions about the underlying population we are interested in. We will discuss confidence intervals and significance tests. You will not only learn about all these statistical concepts, you will also be trained to calculate and generate these statistics yourself using freely available statistical software. Inferential Statistics Inferential statistics are concerned with making inferences based on relations found in the sample, to relations in the population. Inferential statistics help us decide, for example, whether the differences between groups that we see in our data are strong enough to provide support for our hypothesis that group differences exist in general, in the entire population. We will start by considering the basic principles of significance testing: the sampling and test statistic distribution, p-value, significance level, power and type I and type II errors. Then we will consider a large number of statistical tests and techniques that help us make inferences for different types of data and different types of research designs. For each individual statistical test we will consider how it works, for what data and design it is appropriate and how results should be interpreted. You will also learn how to perform these tests using freely available software. For those who are already familiar with statistical testing: We will look at z-tests for 1 and 2 proportions, McNemar's test for dependent proportions, t-tests for 1 mean (paired differences) and 2 means, the Chi-square test for independence, Fisher’s exact test, simple regression (linear and exponential) and multiple regression (linear and logistic), one way and factorial analysis of variance, and non-parametric tests (Wilcoxon, Kruskal-Wallis, sign test, signed-rank test, runs test). Methods and Statistics in Social Science - Final Research Project The Final Research Project consists of a research study that you will perform in collaboration with fellow learners. Together you will formulate a research hypothesis and design, come up with operationalizations, create manipulation and measurement instruments, collect data, perform statistical analyses and document the results. In this course you will go through the entire research process and will be able to help determine what research question we will investigate and how we design and perform the research. This is an invaluable experience if you want to be able to critically evaluate scientific research in the social and behavioral sciences or design and perform your own studies in the future. [-]

Course in Statistics with R (Beginner)

Coursera
Online Part time Open Enrollment USA USA Online

You will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions. [+]

In this Specialization, you will learn to analyze and visualize data in R and created reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis. You will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions. Courses Introduction to Probability and Data This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization. Inferential Statistics This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable for clients or the public. Using numerous data examples, you will learn to report estimates of quantities in a way that expresses the uncertainty of the quantity of interest. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The course introduces practical tools for performing data analysis and explores the fundamental concepts necessary to interpret and report results for both categorical and numerical data. Linear Regression and Modeling This course introduces simple and multiple linear regression models. These models allow you to assess the relationship between variables in a data set and a continuous response variable. Is there a relationship between the physical attractiveness of a professor and their student evaluation scores? Can we predict the test score for a child based on certain characteristics of his or her mother? In this course, you will learn the fundamental theory behind linear regression and, through data examples, learn to fit, examine, and utilize regression models to examine relationships between multiple variables, using the free statistical software R and RStudio. Bayesian Statistics This course describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates. You will learn to use Bayes’ rule to transform prior probabilities into posterior probabilities, and be introduced to the underlying theory and perspective of the Bayesian paradigm. The course will apply Bayesian methods to several practical problems, to show end-to-end Bayesian analyses that move from framing the question to building models to eliciting prior probabilities to implementing in R (free statistical software) the final posterior distribution. Additionally, the course will introduce credible regions, Bayesian comparisons of means and proportions, Bayesian regression and inference using multiple models, and discussion of Bayesian prediction. Statistics with R Capstone The capstone project will be an analysis using R that answers a specific scientific/business question provided by the course team. A large and complex dataset will be provided to learners and the analysis will require the application of a variety of methods and techniques introduced in the previous courses, including exploratory data analysis through data visualization and numerical summaries, statistical inference, and modeling as well as interpretations of these results in the context of the data and the research question. The analysis will implement both frequentist and Bayesian techniques and discuss in context of the data how these two approaches are similar and different, and what these differences mean for conclusions that can be drawn from the data. A sampling of the best final projects will be featured on the Duke Statistical Science department website. Note: Only learners who have passed the four previous courses in the specialization are eligible to take the Capstone. [-]

NEBOSH International Technical Certificate in Oil and Gas Operational Safety

E-Careers
Online Part time Open Enrollment United Kingdom UK Online

Attain the NEBOSH International Technical Certificate in Oil and Gas Operational Safety to confidently work in an industry that is known to need the best health and safety guidelines. [+]

Top Online Courses in Natural Sciences. What are the objectives of this course? Cover environmental management in the oil and gas industry. All you need to know regarding hydrocarbon process safety. Fire protection and emergency response essentials. Who is it intended for? This course is for anyone who is currently in, or going in to, the oil and gas industry and need a world recognised set of health and safety principles to maintain best practice on a day-to-day basis. Requirements There are no pre-requisites for this course. What marks this course apart? People who hold the NEBOSH International Technical Certificate in Oil and Gas Operational Safety can work either onshore or offshore, they can usually function in roles such as HSE Manager, Officer or Supervisor. What happens after requesting information? Once you have enquired you will be contacted by one of our specialist careers advisors who will be able to provide you with any further information you require. [-]

Course in Horticulture

International Career Institute
Online Full time Part time Open Enrollment United Kingdom London

A career in horticulture is perfect for individuals who adore gardening, love working outdoors, and want to put their management, design, planning, science, and technical skills to good use. At ICI, we introduce to you a comprehensive horticulture course that endows you with skills necessary to be successful in this field. [+]

A career in horticulture is perfect for individuals who adore gardening, love working outdoors, and want to put their management, design, planning, science, and technical skills to good use. At ICI, we introduce to you a comprehensive horticulture course that endows you with skills necessary to be successful in this field. Course Outline Plant Propagation Plant Protection Landscaping & Garden Design Crops Viticulture Cut Flower Growing Horticultural Technology Organic Plant Growing Permaculture Ornamental Horticulture Grounds Management Turf Nature Park Management Arboriculture Career Prospects ICI’s horticulture graduates can enjoy a wide range of opportunities in many areas of the field including: Arboriculture – You will be responsible in caring for and managing urban trees Design – You will be creating practical and attractive gardens Gardens and landscapes – You will do garden makeovers and work on landscapes Nurseries – You will grow plants especially those with special conditions Sports turf management – You will be involved in research, production, and marketing and sales of special grasses for sports facilities Experts in horticulture can find many career prospects in a number of areas in the horticulture industry. With an ICI horticulture course, you can fast track your career in this growing industry! [-]

Course in Geographic Information Systems (GIS) (Beginner)

Coursera
Online Part time Open Enrollment USA USA Online

Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. [+]

Top Online Courses in Natural Sciences. Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques. Courses Fundamentals of GIS Explore the world of spatial analysis and cartography with geographic information systems (GIS). In this class you will learn the basics of the industry’s leading software tool, ArcGIS, during four week-long modules: Week 1: Learn how GIS grew from paper maps to the globally integrated electronic software packages of today. You will install ArcGIS on your computer and learn how to use online help to answer technical questions. Week 2: Open up ArcGIS and explore data using ArcMap. Learn the foundational concepts of GIS, how to analyze data, and make your first map. Week 3: Make your own maps! Symbolize data and create an eye-catching final product. Week 4: Share your data and maps and learn to store and organize your data. Take Fundamentals of GIS as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. By completing the first class in the Specialization you will gain the skills needed to succeed in the full program. Students who need an ArcGIS license will receive a non-commercial, 1 year student license for participation in this course and specialization. GIS Data Formats, Design and Quality In this course, the second in the Geographic Information Systems (GIS) Specialization, you will go in-depth with common data types (such as raster and vector data), structures, quality and storage during four week-long modules: Week 1: Learn about data models and formats, including a full understanding of vector data and raster concepts. You will also learn about the implications of a data’s scale and how to load layers from web services. Week 2: Create a vector data model by using vector attribute tables, writing query strings, defining queries, and adding and calculating fields. You'll also learn how to create new data through the process of digitizing and you'll use the built-in Editor tools in ArcGIS. Week 3: Learn about common data storage mechanisms within GIS, including geodatabases and shapefiles. Learn how to choose between them for your projects and how to optimize them for speed and size. You'll also work with rasters for the first time, using digital elevation models and creating slope and distance analysis products. Week 4: Explore datasets and assess them for quality and uncertainty. You will also learn how to bring your maps and data to the Internet and create web maps quickly with ArcGIS Online. Take GIS Data Formats, Design and Quality as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. You should have equivalent experience to completing the first course in this specialization, Fundamentals of GIS, before taking this course. By completing the second class in the Specialization you will gain the skills needed to succeed in the full program. Geospatial and Environmental Analysis Apply your GIS knowledge in this course on geospatial analysis, focusing on analysis tools, 3D data, working with rasters, projections, and environment variables. Through all four weeks of this course, we'll work through a project together - something unique to this course - from project conception, through data retrieval, initial data management and processing, and finally to our analysis products. In this class you will learn the fundamentals of geospatial and environmental analysis during four week-long modules: Week 1: Tour ArcToolbox and learn how to use common geospatial analysis tools built into ArcGIS Week 2: Gain a working understanding of raster data models: symbolize, reproject, overlay, and assess rasters. Take a detour into 3D data models, and interpolation of observations into 3D surfaces and rasters Week 3: Go in-depth on projections and coordinate systems, which are foundational to all GIS. Learn how to use environment variables to constrain your analyses and get better quality data products. Week 4: Expand your knowledge of symbology. Learn how to visually display your data by classifying it in logical groupings and then symbolizing it on your map. Take Geospatial and Environmental Analysis as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. You should have equivalent experience to completing the first and second courses in this specialization, "Fundamentals of GIS" and "GIS Data Formats, Design, and Quality", before taking this course. By completing this third class in the Specialization you will gain the skills needed to succeed in the full program. Imagery, Automation, and Applications Welcome to the last course of the specialization (unless your continuing on to the capstone project, of course!). Using the knowledge you’ve learned about ArcGIS, complete technical tasks such raster calculations and suitability analysis. In this class you will become comfortable with spatial analysis and applications within GIS during four week-long modules: Week 1: You'll learn all about remotely sensed and satellite imagery, and be introduced to the electromagnetic spectrum. At the end of this week, you'll be able to find and download satellite imagery online and use it for two common types of analysis: NDVI and trained classification. Week 2: You'll learn how to use ModelBuilder to create large processing workflows that use parameters, preconditions, variables, and a new set of tools. We'll also explore a few topics that we don't really have time to discuss in detail, but might whet your appetite for future learning in other avenues: geocoding, time-enabled data, spatial statistics, and ArcGIS Pro. Week 3: In week three, we'll make and use digital elevation models using some new, specific tools such as the cut fill tool, hillshades, viewsheds and more. We'll also go through a few common algorithms including a very important one: the suitability analysis. Week 4: We'll begin the final week by talking about a few spatial analyst tools we haven't yet touched on in the specialization: Region Group to make our own zones, Focal Statistics to smooth a hillshade, Reclassify to change values, and Point Density to create a density surface. Finally, we'll wrap up by talking about a few more things that you might want to explore more as you start working on learning about GIS topics on your own. Take Geospatial and Environmental Analysis as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. You should have equivalent experience to completing the first, second, and third courses in this specialization, "Fundamentals of GIS," "GIS Data Formats, Design, and Quality", and "Geospatial and Environmental Analysis," respectively, before taking this course. By completing the fourth class you will gain the skills needed to succeed in the Specialization capstone. Geospatial Analysis Project In this project-based course, you will design and execute a complete GIS-based analysis – from identifying a concept, question or issue you wish to develop, all the way to final data products and maps that you can add to your portfolio. Your completed project will demonstrate your mastery of the content in the GIS Specialization and is broken up into four phases: Milestone 1: Project Proposal - Conceptualize and design your project in the abstract, and write a short proposal that includes the project description, expected data needs, timeline, and how you expect to complete it. Milestone 2: Workflow Design - Develop the analysis workflow for your project, which will typically involve creating at least one core algorithm for processing your data. The model need not be complex or complicated, but it should allow you to analyze spatial data for a new output or to create a new analytical map of some type. Milestone 3: Data Analysis – Obtain and preprocess data, run it through your models or other workflows in order to get your rough data products, and begin creating your final map products and/or analysis. Milestone 4: Web and Print Map Creation – Complete your project by submitting usable and attractive maps and your data and algorithm for peer review and feedback. [-]

NEBOSH National General Certificate

E-Careers
Online Part time Open Enrollment United Kingdom UK Online

Be able to create a safe working environment with the guidelines set by the National Examination Board in Occupational Safety and Health (NEBOSH) with this National General Certificate. [+]

What are the objectives of this course? Study the course content to gain a comprehensive new skillset, as well as the skills to pass the examination. Comprehensively cover the management of health and safety (NGC1) Learn everything you need to know about controlling workplace hazards (GC2) Health and Safety Practical Application (GC3) Who is it intended for? This course is for anyone who needs an industry recognised health and safety certification. Requirements There are no official prerequisites for this course but we recommend you have a basic understanding of NLP techniques. What marks this course apart? People who hold the NEBOSH National General Certificate usually function in roles such as Health & Safety Manager, Health and Safety Officer and Health and Safety Administrator. What happens after requesting information? Once you have enquired you will be contacted by one of our specialist careers advisors who will be able to provide you with any further information you require. [-]

NEBOSH International General Certificate

E-Careers
Online Part time Open Enrollment United Kingdom UK Online

Prepare to take the official examination to become recognised globally as a health and safety professional in international practices with this International General Certificate from the National Examination Board in Occupational Safety and Health (NEBOSH). [+]

Top Online Courses in Natural Sciences. What are the objectives of this course? Start by gaining a good grounding in the management of international health and safety (IGC1) – foundations and health and safety management systems Progress to learning about the control of international workplace hazards (GC2) – workplace hazards, transport hazards and risk control, musculoskeletal hazards and risk control, work equipment hazards, electrical safety, fire safety, chemical and biological health hazards and physical and psychological hazards. Complete your skillset by covering international health and safety practical application (GC3). Who is it intended for? Anyone who is looking to take their health and safety know-how to an international level. Requirements There are no official prerequisites for this course but we recommend you have a basic understanding of NLP concepts. What marks this course apart? People who hold the NEBOSH International General Certificate can combine it with health and safety qualifications in different areas (such as oil and gas, fire etc.). People with this certificate usually function in roles such as Health and Safety Officer, Health and Safety Manager and Health and Safety Co-ordinator. What happens after requesting information? Once you have enquired you will be contacted by one of our specialist careers advisors who will be able to provide you with any further information you require. [-]

Course in Big Data: Mathematical Modelling

FutureLearn
Online Full time Part time 2 weeks October 2017 United Kingdom London + 1 more

Learn how to apply selected mathematical modelling methods to analyse big data in this free online course. [+]

Course in Big Data: Mathematical Modelling This course is part of the Big Data Analytics program, which will enable you to gain the big data analytics skills that are in demand today. Have you ever wondered how mathematics can be used to solve big data problems? This course will show you how. Mathematics is everywhere, and with the rise of big data it becomes a useful tool when extracting information and analysing large datasets. Learn how maths underpins big data analysis We will begin by explaining how maths underpins many of the tools that are used to manage and analyse big data. We will show you how very different applied problems can have common mathematical aims, and therefore can be addressed using similar mathematical tools. We will then proceed to introduce three such tools, based on a linear algebra framework. These tools and the problems that they address are: eigenvalues and eigenvectors for ranking graph Laplacian for clustering singular value decomposition for data compression. Develop your analysis skills with prototypical case studies In this course, we have chosen a number of prototypical problems in data analytics to demonstrate the main concepts. These algorithms can be extended to facilitate their use in big data problems. Our hands-on approach will allow you to develop your analytic skills using self-contained datasets, deepen your understanding of the underlying mathematical methods, and explore how these methods can be applied to big data in your area. Continue learning with the Big Data Analytics program This course is one of four in the Big Data Analytics program on FutureLearn from the ARC Centre of Excellence for Mathematical and Statistical Frontiers at Queensland University of Technology (QUT). The program enables you to understand how big data is collected and managed, before exploring statistical inference, machine learning, mathematical modelling and data visualisation. When you complete all four courses and buy a Certificate of Achievement for each, you will earn a FutureLearn Award as proof of completing the program of study. Acknowledgements QUT would like to thank the following content contributors: Kevin Burrage Giuseppe De Martino Steve Psaltis Ian Turner Requirements This course is designed for anyone looking to add mathematical methods for data analytics to their skill set. To get the most out of this course, we recommend that you have studied linear algebra at a university/college level. We would encourage you to refresh your knowledge of vector and matrix algebra before engaging with the course material. We will assume basic MATLAB (or other) programming skills for some of the practical exercises. MathWorks will provide you with free access to MATLAB Online for the duration of the course so you can complete the programming exercises. Visit the MATLAB Online website to ensure your system meets the minimum requirements. [-]

Dog & Pet Grooming Course

Courses for Success
Online Part time Open Enrollment USA USA Online

Save money by learning to groom your own pet or get a foot in the door of the fast-growing pet grooming industry. Developed by Dog Master Groomer, Angela Anderson, our 100 hour online course covers dog handling, health and safety, caring for the skin and coat, preparing for showing and more. [+]

Top Online Courses in Natural Sciences. Groom Your Pets at Home or Become a Professional Dog Groomer! Save money by learning to groom your own pet or get a foot in the door of the fast-growing pet grooming industry. Developed by Dog Master Groomer, Angela Anderson, our 100 hour online course covers dog handling, health and safety, caring for the skin and coat, preparing for showing and more. By the end of this Pet Care Online Course, you will be able to: Learn the Scope and Nature of Grooming Learn Animal Biology Learn caring for the Skin and Coat Specialise in Grooming Tasks Handle Animals Groom Dogs Groom Exotic Animals Learn safety in grooming workplace Prepare for Showing Start a dog grooming business (optional module) Course Fast Facts: Easy to follow and understand 100 hours of study is required 12 months access to online course Delivered 100% on-line and accessible 24/7 from any computer or smartphone You can study from home or at work, at your own pace, in your own time Download printer friendly course content Certificate of completion awarded with passing score for the assessment Course Delivery Your course login URL address, username and password will be sent to you via email (please check your junk email inbox if not received as this is an automated email). The course is available 24/7 on any computer. The course is easy to follow and understand. All students who complete the course receive a certificate of achievement. Units of Study Module One : Scope and Nature of Grooming Introduction to grooming behaviour Why do humans groom animals? What animals are groomed? Generic grooming tasks Common tools and equipment Combs, brushes, rakes, blades and other equipment Confidently handling animals Introduction The industry and workplace opportunities Workplace skills and accessing the right information online Module Two : Animal Biology Skin – Epidermis & Dermis Claws, Nails and Spurs Hair Physiological control – Homeostasis Thermoregulation Module Three : Caring for the Skin and Coat Animal nutrition Common skin problems in dogs and cats Caring for the coat – brushing, bathing, blowdrying, dematting, clipping, trimming Removing burrs from fur Caring for cats – combing, brushing and bathing Module Four : Specialised Grooming Tasks Risks of working with animals Selecting a suitable grooming location Understanding animal psychology and behaviour The flight or fight response Module Five : Handling Animals General considerations when handling animals Pre-restraint techniques, physical restraint Medical restraint – sedation Safely handling different animals when grooming Module Six : Grooming Dogs Communication in dogs Use of scent Barking & body language Grooming different types of dogs Long Coat types, short coat types, single coat types, double coat types, smooth coat types, wire haired coat types, woolly or wavy coat types, corded coat types Bald or hairless coat types Brushing and bathing care Clipping and styling Grooming procedures that can go wrong Cutting toenails too short Cuts or nicks when clipping Overheating Water trapped in the ear canal Module Seven : Grooming Exotic Animals Handling Transporting Grooming captive wildlife Bathing small and large mammals Handling large animals and exotics Dangerous animals Issues with handling animals Psychological effects of different handling techniques Grooming areas Module Eight : Safety in Grooming Workplace Safety for people and staff – workplace health and safety First aid, legislation and duty of care Safety of animal owners and visitors to the premises Protective equipment A groomer’s personal protection Equipment and workplace safety Storage and disposal of chemicals Handling Tools and Machinery Safety with tools and equipment Safety audit Example of an audit checklist Safety for animals and people Transportation Safety of the animal at the salon Electrical safety – at home and the groomers Slip risk – wet surfaces Cat and dog allergies Module Nine : Preparing for Showing What is animal showing? Why do people show pets? Showing dogs Training your show puppy Preparing for show – dogs Days and evening before the show The day of the show and in the ring Showing – dress to impress Showing poultry The day before and of the show Module Ten : Starting a dog grooming business (optional module) The business plan Financial planning, long term goals Financial records and cashflow Commonly used finance related terminology Make the business a success – know your market Groomers insurance Requirements Entry requirements Students must have basic literacy and numeracy skills. Minimum education Open entry. Previous schooling and academic achievements are not required for entry into this course. Computer requirements Students will need access to a computer and the internet. Minimum specifications for the computer are: Windows: Microsoft Windows XP, or later Modern and up to date Browser (Internet Explorer 8 or later, Firefox, Chrome, Safari) MAC/iOS OSX/iOS 6 or later Modern and up to date Browser (Firefox, Chrome, Safari) All systems Internet bandwidth of 1Mb or faster Flash player or a browser with HTML5 video capabilities (Currently Internet Explorer 9, Firefox, Chrome, Safari) Students will also need access the following applications: Adobe Acrobat Reader and Microsoft Word [-]

Dog Psychology & Training Online Courses

Courses for Success
Online Part time Open Enrollment USA USA Online

Understanding man’s best friend is vital for responsible owners and anyone working with dogs. This interactive online course will teach you about dog psychology, senses and behaviour, and you’ll learn basic dog obedience training techniques. [+]

Teach Dogs Good Behaviour Habits That will Last a Lifetime. Understanding man’s best friend is vital for responsible owners and anyone working with dogs. This interactive online course will teach you about dog psychology, senses and behaviour, and you’ll learn basic dog obedience training techniques. Fantastic for dog owners, dog breeders, dog groomers, dog trainers, dog therapists, dog walkers, pet sitters, dog boarding or kennel assistants, pet shop assistants and pet rescue attendants. Also useful if you want to start your own doggy daycare business. By the end of this Dog Psychology & Training Online Course, you will be able to: Nature and Scope of Canine Psychology Canine Senses Understanding Natural Canine Behaviour Canine Behavioural Development Canine Behavioural Disorders Basic Dog Training Dog Obedience Training Controlling a Dogs Movement Training Working Dogs Start a dog training business (this is an optional module) Course Fast Facts: Easy to follow and understand 100 hours of study is required 6 months access to online course Delivered 100% on-line and accessible 24/7 from any computer or smartphone You can study from home or at work, at your own pace, in your own time Download printer friendly course content Certificate of completion awarded with passing score for the assessment Course Delivery Your course login URL address, username and password will be sent to you via email (please check your junk email inbox if not received as this is an automated email). The course is available 24/7 on any computer. The course is easy to follow and understand. All students who complete the course receive a certificate of achievement. Recognition & Accreditation All students who complete the course receive a certificate of completion with a passing score (for the online assessment) and will be issued a certificate via email. Units of Study Module One : Nature and Scope of Canine Psychology A brief history of the canine evolution Self-domestication Canine industries Module Two : Canine Senses Understanding canine communication Sight Body Language Smell Sound Elimination Postures Module Three : Understanding Natural Canine Behaviour Social Structure Social Behaviour Aggression Clinical Problems Biological Rhythms Sleep Sexual Behaviour Maternal Behaviour Parturition Suckling and Weaning Eating and Drinking Module Four : Canine Behavioural Development Nature or Nurture Sensitive Periods Neurological Development Canine Temperament Testing How Breeds Differ Module Five : Canine Behavioural Disorders Attention Seeking Behaviour Excessive barking Chewing Running away Chasing moving objects Begging Digging Separation anxiety Aggression Phobias Excessive compulsive disorders Cognitive Dysfunction Calming a dog Module Six : Basic Dog Training Forming habits Conditioning Classical Conditioning Ope-rant Conditioning Socialisation House training The use of visual signals The use of voice commands The use of training aids Module Seven : Dog Obedience Training Practical Training Techniques Recall Sit Stand Drop Leave Down Stay Heel Seek Retrieve Bark on Signal Module Eight : Controlling a Dogs Movement Territorial nature of dogs Fencing Dog doors Kennels Exercise requirements Socialisation requirements Walking on a lead/leash Electronic barriers Microchips Pet Registration and Licensing Controlling Killing Wildlife Module Nine : Training Working Dogs Training for scent discrimination or substance detection Training for retrieving Guarding Hearing dogs Herding Tracking Controlling attacks on animals and people Module Ten : Start a dog training business (this is an optional module) The business plan Financial planning, long term goals Financial records and cash flow Commonly used finance related terminology Make the business a success – know your market Insurance and risks – risk analysis and managing risk Requirements Entry requirements Students must have basic literacy and numeracy skills. Minimum education Open entry. Previous schooling and academic achievements are not required for entry into this course. Computer requirements Students will need access to a computer and the internet. Minimum specifications for the computer are: Windows: Microsoft Windows XP, or later Modern and up to date Browser (Internet Explorer 8 or later, Firefox, Chrome, Safari) MAC/iOS OSX/iOS 6 or later Modern and up to date Browser (Firefox, Chrome, Safari) All systems Internet bandwidth of 1Mb or faster Flash player or a browser with HTML5 video capabilities (Currently Internet Explorer 9, Firefox, Chrome, Safari) Students will also need access the following applications: Adobe Acrobat Reader [-]

Certificate in Intermediate Microsoft Excel 2013 Online Course

Courses for Success
Online Part time 6 - 8 weeks February 2017 USA USA Online

Take your Excel skills to the next level! Master charting, PivotTables, Slicers, Sparklines, and other advanced features of Microsoft Excel 2013, and discover how this powerful MS Office program can boost your productivity. [+]

Top Online Courses in Natural Sciences. Start Now To Learn Intermediate Microsoft Excel 2013 Take your Excel skills to the next level! Master charting, PivotTables, Slicers, Sparklines, and other advanced features of Microsoft Excel 2013, and discover how this powerful MS Office program can boost your productivity. In these hands-on lessons, you'll learn how to create informative, eye-catching charts and graphs and harness the power of Excel's data analysis tools and AutoFilter commands. In addition, you'll find out how easy it is to create macros that let you manipulate data with the push of a button. You'll also discover how to use Goal Seek and Solver and apply them to real-world problems. And you'll set yourself apart from the casual Excel user by adding VLOOKUP, INDEX & MATCH, and Excel's other time-saving functions to your repertoire. So get ready for six fun, action-packed weeks that will make you an Excel expert! Course Fast Facts: Learn Certificate in Intermediate Microsoft Excel 2013 Online Course in only 6 weeks Approximately only 2 to 4 hours per week of study is required This course is delivered 100% on-line and is accessible 24/7 from any computer or smartphone Instructors lead each course and you will be able to interact with them and ask questions You can study from home or at work at your own pace in your own time You can download printer friendly course material or save for viewing off line You will be awarded a certificate at completion of this course How is the Certificate in Intermediate Microsoft Excel 2013 Online Course studied? Upon enrolment an automated welcome email will be sent to you (please check your junk email inbox if not received as this is an automated email), in order for you to access your online course, which is Available 24/7 on any computer or smart mobile device. New courses start every month to ensure that we have the correct ratio of students to tutors available, please ensure you select a starting date when you go through our shopping cart, at checkout. The course is easy to follow and understand. Recognition & Accreditation All students who complete the Certificate in Intermediate Microsoft Excel 2013 Online Course receive a certificate of completion with a passing score (for the online assessment) and will be issued a certificate via email. Units of Study There are 12 units of study Excel 2013 Charts and Graphs In our first lesson, you'll discover why Excel 2013 is such a powerful and user-friendly charting tool. To you, a workbook's numbers might tell an interesting story. But to others, that story might not be quite so obvious—they might just see plain old numbers. So, today, you'll find out how to choose the right chart for telling your story and then how to create, format, and edit your chart to help others clearly visualize that story. More Excel Charts There are so many great charting features and enhancements in Excel 2013, there's no way we could cover all of them in a single lesson. So, today, we'll continue exploring Excel's charting options—this time looking at the lesser-known options that are available to you. Even though they aren't well-known, these options can add tremendous value to your worksheets in the right situations. We'll walk through a few of them step-by-step, so you'll see the value for yourself. AutoFilter and Sorting Working with data in Excel can be quite easy—and sometimes even fun—when you know about the extra tools that are available once you have your data arranged in a table format. One of these great tools is the Auto Filter command. In today's lesson, you'll learn how to use Auto Filter to limit your table information to just the records you want. Not only does Auto Filter allow for finding exact matches, but it can also filter and sort based on cell shading or font color. How great is that? Goal Seeking Normally, you'll use your Excel workbooks as a place to enter formulas and get answers. But what if the formula isn't returning the answer you want? If you know what you want, but you just don't know what formula will get you there, then Excel's Goal Seek is exactly what you need. This tool will help you avoid the trial-and-error approach that most Excel users go through to get to the right answer. In this lesson, we'll walk through multiple examples together, exploring several ways to apply this great feature. PivotTables Today, you'll learn how to use one of the best features of Excel: the PivotTable. If you've heard about PivotTables before, then you know what I mean. There's no greater what-if analysis tool to summarize, reorganize, and report data. When we practice creating a PivotTable, you'll discover how "pivoting" your data helps you gain valuable insights by seeing the same information from a different perspective. This is a lesson you won't want to miss! Advanced PivotTables Just like charting, Excel's PivotTables are too big a topic to fit into one lesson. So, today, we'll take PivotTables to the next level by taking a tour through some of Excel's more advanced techniques. You'll learn how quick and easy it is to group your data to give your PivotTable even more power. Then you'll find out how a PivotTable can serve as your source and inspiration for some really nice charts, specifically, the PivotChart. Last, you'll become an expert in using the Excel 2013 PivotTable filtering tool called Slicer. Solver Have you ever worked with a financial model in Excel and wondered how you could speculate different outcomes by changing different input amounts? The Excel Solver can do just that. In this lesson, you'll learn how to use Solver to solve a complex problem based on the criteria and constraints we provide it. If you liked the Goal Seek lesson, then this Solver lesson is going to knock your socks off. Sparklines There's nothing more exciting than learning how to master a new feature in Excel. In today's lesson, we'll explore in detail how to create all three types of Sparklines, as well as formatting options for each. By the end of the lesson, you'll have the skills to create dashboardlike mini charts sure to make you the envy of your office. If you enjoy creating charts, you'll really enjoy this lesson. Macros Today's topic is a student (and instructor) favorite. In this lesson, you'll find out how to use macros to turn boring, repetitive, time-consuming tasks into automated Excel functions. Tired of doing the same formatting on the same report month after month? Here's your chance to see how to record a macro that performs that time-consuming task in seconds with just one swift click of a button! How will you spend all the extra time that this lesson will save you? Introduction to Functions If you've used Excel for a while, you know there are hundreds of functions at your disposal. We're going to spend the last three lessons of this course going over exactly how and why you'd use them. We'll start today by going through a quick overview of all the categories of functions and the different methods you can use to create them. Then, later in the lesson, we'll ease into creating various functions using some from the Text category. Math/Trig Functions Next to learning how to create macros, most students want to learn as much as they can about Excel functions. In today's lesson, we'll dig a little deeper into using some of the slightly more complex functions that you'll find in the Math & Trig category. Specifically, we'll look at two of my favorites, the SUMIF and COUNTIF functions, and discuss how to use one of the more complex functions, SUMIFS. If one of your objectives in taking this course is to learn more about functions, you're in for a treat! VLOOKUP, INDEX, and MATCH Functions Since functions are such an important and integral part of using Excel, we'll spend our final lesson going over a few more of them. Today, you're going to learn how to use the extremely popular VLOOKUP function. If you're already accustomed to using VLOOKUP, don't feel short-changed, because we're going to add to the complexity. We're going to use the INDEX and MATCH functions to do something just short of amazing. This is another lesson you won't want to miss! Requirements Entry requirements Students must have basic literacy and numeracy skills. Minimum education Open entry. Previous schooling and academic achievements are not required for entry into this course. Computer requirements Students will need access to a computer and the internet. Minimum specifications for the computer are: Windows: Microsoft Windows XP, or later Modern and up to date Browser (Internet Explorer 8 or later, Firefox, Chrome, Safari) MAC/iOS OSX/iOS 6 or later Modern and up to date Browser (Firefox, Chrome, Safari) All systems Internet bandwidth of 1Mb or faster Flash player or a browser with HTML5 video capabilities (Currently Internet Explorer 9, Firefox, Chrome, Safari) Students will also need access the following applications: Adobe Acrobat Reader [-]