Online Course in Data Science

Best Online Courses in Data Science 2017

Data Science
Online Course in Data Science
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Course: Big Data Analytics - Data Executive

361 Degree Minds
Online Full time 40 hours July 2017 India India Online

Big Data is about the tremendous amount of data being generated in this data-driven world. Whatever we do in this world leaves a digital trace. Big Data has become a very vital element for business growth and innovation that relies on technologies such as Internet of Things and Data Analytics. [+]

Top Online Courses in Data Science. Course: Big Data Analytics - Data Executive Big Data is about the tremendous amount of data being generated in this data-driven world. Whatever we do in this world leaves a digital trace. Big Data has become a very vital element for business growth and innovation that relies on technologies such as Internet of Things and Data Analytics. Big Data will revolutionize the operations of any organizations, just like how the internet did. Do you want to be part of the revolution? Are you cut out for Big Data? Big Data is the IT mega trend that will define this decade…Why? Data is only as useful as the individual interpreting it, who can translate the findings from data into actionable insights. People with Big Data Analytics skills are in demand. Many companies do not have employees who can interpret data - find the trends, patterns and stories. These insights drive the decision making in every company. Join the Data Executive course of 361DM to know how Big Data Analytics can be a world of opportunities. Are you ready for the Big Data Era? Wondering if Big Data Analytics is the right career for you? Are you confused if Big Data Analytics is the right choice? Take up the Data Executive, an entry level program to create a basic awareness on the concept of Big Data and Analytics. This will help you make self assessment and know if Big Data Analytics can complement your existing skill set. How Will Big Data Analytics shape up the future of the business world? Buying and selling data will become the new business for every organization. They will monetize the data by selling them either as unstructured data or value added data. IoT – Internet of things, an extension of Big Data Anlytics will be the next critical focus in coming years.The Internet of Things (IoT) is a network of physical objects that can be accessed via the Internet. The IoT focuses on the data generation and production. Machine learning will become the top strategic trend in the years to come. Machine learning will be a necessary aspect for data preparation and predictive analysis in businesses in the future. Big Data industry will face huge shortage of experts like data analysts, data engineers and experts in Data Management according to IDC. Why 361DM is the best choice for your learning on Big Data Analytics? 361DM has been in the field of Leadership & Organizational Development for 17 years offering programs on Big Data Analytics, designed by industry veterans. The Data Executive program is industry relevant and crafted by Big Data Analytics Industry veteran, Mr. Suresh Krishnaswamy who has developed similar programmes for IIT and Great Lakes. He has worked with companies Like IBM, EDS & Cognizant. The clients include Cognizant, Nokia Siemens, Sandisk, Manhattan Associates, etc. 361DM experts focus on upskilling thereby providing one-on-one assistance to help you identify your target jobs, spruce up your resume and prep for the analytics interview. Program Suggestion Program Name: Data Executive Program designed for: For beginners to Create Awareness on Big Data Eligibility: Any UG/ PG Graduates Eligibility Process: NA Duration: 40 Hours Fees: 110 USD Installment pattern available (Y/N): No Program Outcome: This is an entry level program designed for beginners to create awareness about Big Data. It introduces learners to concepts like Big Data 1O1, Mathematics Modeling, Coding in DB Environment and Coding in DB Environment. [-]

Course: Big Data Analytics - Business Analyst

361 Degree Minds
Online Full time 232 hours July 2017 India India Online

Are you looking to build a career in Big Data Analytics? Every professional working in the corporate environment must think of their way to the next position. If you are interested in Big Data Analytics then you must retool your skills to be a part of the Big Data space. [+]

Course: Big Data Analytics - Business Analyst Career transition to Big Data Analytics: Are you looking to build a career in Big Data Analytics? Every professional working in the corporate environment must think of their way to the next position. If you are interested in Big Data Analytics then you must retool your skills to be a part of the Big Data space. This industry requires some basic qualities like a strong grounding in mathematics, familiarity with programming languages, understanding the logic of analytical modelling, content knowledge and above all an inherent sense of curiosity. 361DM career transition programs are designed to identify the skills you need to transition to an analytics career. Get trained by industry thought leaders in Big Data Analytics with focus on solving real corporate problems. Interested in Transformation to Big Data Analytics Career Path? Do you want a role which requires you to derive insights from data? Do you like to find a story in data? 361DM Big Data Analytics course are crafted to identify the skills in you to transform you into Big Data Analytics professional. According to Forbes, Big Data is becoming a movement. Every enterprise is going to take the advantage of Big Data Analytics. According to IDC, the Big Data market is predicted to be worth $46.34 billion by 2018. The global Hadoop market is forecast to grow at a CAGR of 59.37% during the period 2016-2020, according to Business Wire. Hadoop, a cost effective technology is faster than the conventional data analysis tools such as Relational Database Management Systems (RDBMS). R, the open source statistical software is used to tackle problems in data analysis. The data analysis is done using statistical concepts and mathematical modelling. With 361DM learn to implement Big Data Analytics to products, operations, marketing and consumer experience problems in industries like in retail, automobile, banking & financial services and healthcare. The path to Big Data Analytics......What it takes to be ‘The’ professional? Now, you know why Big Data Analytics is a good career transition. But before you go too far, make sure you have the required skills in you. Are you analytical in nature? Are you a problem solver? Make sure you have the basic quality of thinking analytically. 361DM offers Data Executive course to give you an idea of the skills required for Big Data Analytics. Some professionals try to enter into a new industry when they make the transition into the analytics. This move will reduce the chances of you finding a job. Look for an analyst job in the industry you have experience in. Once you are placed in an analytics role successfully and after gaining experience, you can think of moving to the industry you want to be in. Leaving your current job to make the career transition is not the right option, as finding a new job can take time and adding pressure on you unnecessarily. 361DM training programs offers the convenience of ‘Anytime Anywhere’ & disruptive value proposition to the corporate workforce. Do you want a career transition for an attractive paycheck? Big Data Analytics is the answer. In this information age, the technology to store data is increasing exponentially. Every company needs to make decisions from data. These decisions determine a company’s existence. Those who can control access to data, understand data and interpret data will have an edge in the near future, thereby leading to better paychecks. The demand for Big Data Analytics professional is high at the moment. The difficulty in finding the data scientist is growing up from 79% to 83% according to CrowdFlower survey. Companies are willing to shell out big bucks to find a person with adequate knowledge in Big Data skills. Thanks to the shortage of Big Data professionals. With the right mix of technical skills and personal skills, you will be the sought after Big Data professional. 361DM has cutting edge courses created by industry thought leaders to get you your dream job. Why 361 Degree Minds? 361 Degree Minds, a premier career building institute led by team of BITS Alumni with in-depth domain knowledge. Our courses are industry relevant and crafted by Big Data Analytics Industry veteran, Mr. Suresh Krishnaswamy who has developed similar programmes for IIT and Great Lakes. He has worked with companies Like IBM, EDS & Cognizant. 361DM makes you industry ready as the courses focus on three industry relevant aspects – 1) Technical skills like Hadoop and R 2) Better understanding of the business requirements 3) Knowledge of Data Science – statistical inference, mathematical modelling and data visualisation. 361DM experts focus on upskilling thereby providing one-on-one assistance to help you identify your target jobs, spruce up your resume and prep for the analytics interview. 361DM offers program variant giving Placement Assurance for select students. Receive constant guidance from our experienced faculty on job applications. For assistance, check your eligibility with career consultant. Program Suggestion Program Name: Business Analyst Program designed for: Freshers /Experienced Eligibility: Mcom, Msc- Stats, Maths /MBA Eligibility Process: NA Duration: 212 Hours Fees: 825 USD Installment pattern available (Y/N): Yes Program Outcome: To provide complete knowledge about Big Data by covering advanced concepts like R , GGPLOT, Line, Bar and Scatter with GGPLOT2 and Text mining. [-]

Course: Big Data Analytics - Data Engineer

361 Degree Minds
Online Full time 232 hours July 2017 India India Online

You would have probably heard that Big Data and Analytics is one area of technology consisting of skills gaps. What corporate really mean by “skill gap” is that there aren’t enough engineers with the right mix of technical ability, skill of understanding business requirement and knowledge of data science, the three main ingredients of Big Data Analytics. [+]

Top Online Courses in Data Science. Course: Big Data Analytics - Data Engineer Do you want to be the one of the best sought after engineer in the BIG Data Analytics Industry? You would have probably heard that Big Data and Analytics is one area of technology consisting of skills gaps. What corporate really mean by “skill gap” is that there aren’t enough engineers with the right mix of technical ability, skill of understanding business requirement and knowledge of data science, the three main ingredients of Big Data Analytics. 361DM has the comprehensive solution for Engineers and make them data-savvy professionals. We train the students depending on the current skills required by the corporate world. Be a part of 361DM. Grab the opportunity and get the right platform to enter the Big Data Analytics Industry. Do you want to find "Big Picture" on Big Data? Big Data means Big Opportunities. Big Data analytics sector in India is expected to reach $16 billion industry by 2025. The opportunities for Engineering students in Big Data are vast. Big Data is growing at an unprecedented pace and is sure to offer the students plenty of opportunities to grow towards a secured future. Students who choose to study Big Data Analytics benefit by practicing and developing their critical thinking, management, and communication skills that will be vital to their success in corporate environment. Without the needed Big Data skills, plenty of jobs go unfilled. Getting certified in Big Data technology like Hadoop, programming with R and SQL, making data sets, etc. Will have a rewarding career and definitely assist the students in getting placed during on campus/ off campus recruitment. Some big companies hiring Big Data professionals in India are Accenture, American Express, Dell, Datamatics, eBay, Evalueserve, Genpact, HP, HSBC, IBM, Wipro, SBI, Infosys, IGate, etc. Why Big Data is relevant for Engineering students? Demand for Computer Systems Analysts with big data expertise increased 89.9% in 2015. The data science and big data discipline is strongly connected with and IT engineering , business and applied mathematics. Big Data Analytics is the fastest evolving concept in the IT world now. Students must gain knowledge on this fast-changing technological direction. With ever-increasing size of data sets, there is requirement for professionals to handle Big Data storage, processing, analysis, visualization, and application issues on both corporate workplaces and research environment. New tools and algorithms are being defined and implemented in the corporate world. Computer students can get familiarised with such tools, algorithms and platforms to use it on real time cases. Want to become a Big Data professional….. Do a self analysis to see if you have what it takes. Depending on your expertise, your contributions can have an impact at different points in the Big Data lifecycle of the company you get into. Creativity and problem solving - If you're equipped with a natural desire to know how things work , then you'll always have a job offer waiting somewhere Statistical and quantitative analysis - This skill is the engine for Big Data. If you have a strong mathematical, statistical and analytical skills as well as business strategy thinking, then you have a very bright chance to shine. General purpose programming languages - Engineers having experience in programming applications using general-purpose languages like Java, C etc could give you the edge over other candidates when making the Big Data transition. Story telling with data - Ability to create visualization that tells a story through the graphical depiction of statistical information will be a big plus to the data analytics process in organisations looking to make info more understandable to business executives. Why 361DM is the best in the industry to bring out the Big Data Analytics professional in you? The instructors of 361 Degree Minds are one of the leading industry experts in Big Data. Gain all the recognised qualification & certifications you need for a genuinely desirable Big Data Analytics career. 361DM provides a platform for learning evolving technologies that industry thought leaders consider being disruptive. Big Data Analytics course has been designed by Mr. Suresh Krishnaswamy, a veteran in the Analytics industry. 361DM has clients like Cognizant, Nokia Siemens, Sandisk, Manhattan Associates. 361 DM has 40,000 learners from 18 countries for various programs By learning Big Data with 361DM, sharpen your core skills in Big Data which are. You will get the opportunity to work with real-world data-sets and projects that prepare them to solve complex problems. 361DM offers program variant giving Placement Assurance for select students. For assistance, check your eligibility with career consultant. Program Suggestion Program Name: Data Engineer Program designed for: For Engineering Students - Fresher Eligibility:BE - CS , IT ,ECE / Btech -IT, MCA/M.Sc CS & BSc - CS Eligibility Process: NA Duration: 232 Hours Fees: 720 USD Installment pattern available (Y/N):Yes Program Outcome: This is a expert level program designed to familiarize the learners with concepts like Mathematics Modelling, Making Data Sets, Hadoop Fundamentals, Hadoop Administration, Hadoop Clusters, Programming with R and SQL. [-]

Course in Learn to Code for Data Analysis

FutureLearn
Online Full time Part time 4 weeks October 2017 United Kingdom London + 1 more

This hands-on course will teach you how to write your own computer programs, one line of code at a time. You’ll learn how to access open data, clean it and analyse it and to produce visualisations. You will also learn how to write up and share your analyses, privately or publicly. [+]

Course in Learn to Code for Data Analysis This hands-on course will teach you how to write your own computer programs, one line of code at a time. You’ll learn how to access open data, clean it and analyse it and to produce visualisations. You will also learn how to write up and share your analyses, privately or publicly. You will install free software (see Requirements below) to learn to code in Python, a widely used programming language across all disciplines, due to its support for scientific and engineering libraries and visualisation tools, and wide range of development tools. You will write up analyses and do coding exercises using the popular Jupyter Notebooks platform, which allows you to see immediately the result of running your code and helps you identify – and fix – any errors more easily. You will look at real data from the World Health Organisation, the World Bank and other organisations. You’ll be encouraged to discuss the data and your analyses with your fellow learners, and to build a community of researchers around these and other datasets. Requirements The course does not assume prior experience in programming or data analysis. Basic familiarity with a spreadsheet application will be an advantage. The course does not require any knowledge of statistics, but you need to have basic numeracy skills, like writing arithmetic expressions, using percentages and understanding scientific notation. If you wish to brush up on your numeracy skills, we recommend the FutureLearn course Basic Science: Understanding Numbers from The Open University. To study this course you will use specialist software. You can use the software online, via a free account on a website, or offline, by downloading and installing a free software package. You will receive instructions about both options via email before the course starts. The online solution requires a good internet connection and has some limitations. The offline software has no limitations and is the recommended option. However, you will need access to a desktop or laptop computer on which you can install software. The software is free and there are versions available for Windows, Mac and Linux platforms. You will need about 3 GB of free disk space to download and install the software, and to store datasets that will be provided in the course. Whether you choose the online or offline software option, you will need to be proficient in basic computer tasks, like creating folders, downloading files and copying them to specific folders, etc. In terms of accessibility, you will be asked to use your web browser and to type code. [-]

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. [+]

Top Online Courses in Data Science. 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. [-]

Course in Functional Programming in Haskell: Supercharge Your Coding

FutureLearn
Online Full time Part time 6 weeks September 2017 United Kingdom London + 1 more

Get an introduction to Haskell, the increasingly popular functional programming language, with this University of Glasgow course. [+]

Course in Functional Programming in Haskell: Supercharge Your Coding Do you want to develop software using the latest programming language paradigm? Haskell is a functional programming language, based on formal mathematical principles. As such, it is easy to reason about and develop, and it executes efficiently on modern multicore machines. From investment banks to social networks, everyone is adopting Haskell. Get an introduction to functional programming in Haskell On this introductory course, you will discover the power, elegance and simplicity of functional programming in Haskell. By the end, you will be able to: characterise the differences between imperative and functional programming paradigms; implement small-scale functional programs in elementary Haskell; apply standard combinators for operating on lists; create new algebraic data types and use recursion to define functions that traverse recursive types; and reason in a mathematical manner about data types, functions, recursion and similar functional constructs. Learn with developers from the birthplace of Haskell This course has been created by the School of Computing Science at the University of Glasgow – the virtual birthplace of the Haskell language, where many of its original developers worked. It will give you the opportunity to learn with these experts and join the growing, global community of Haskell programmers. Requirements This course is intended for learners who already have experience of at least one programming language, such as Python or Java. You might be a computer science student, a software developer who wants to learn a new programming style, or somebody considering university study in computer science or information technology. [-]

Course in Big Data: Statistical Inference and Machine Learning

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

This free online course equips you for working with these solutions by introducing you to selected statistical and machine learning techniques used for analysing large datasets and extracting information. [+]

Top Online Courses in Data Science. Course in Big Data: Statistical Inference and Machine Learning Everyone has heard of big data. Many people have big data. But only some people know what to do with big data when they have it. So what’s the problem? Well, the big problem is that the data is big—the size, complexity and diversity of datasets increases every day. This means that we need new technological or methodological solutions for analysing data. There is a great demand for people with the skills and know-how to do big data analytics. Extract information from large datasets This free online course equips you for working with these solutions by introducing you to selected statistical and machine learning techniques used for analysing large datasets and extracting information. Of course, we can’t teach everything in one course, so we have focused on giving an overview of a selection of common methods. You will become familiar with predictive analysis, dimension reduction, machine learning and clustering techniques. You will also discover how simple decision trees can help us make informed decisions and you can dive into statistical learning theory. Explore real-world big data problems These methods will be described through case studies that explain how each is applied to solve real-world problems. You can also develop your coding skills by applying the techniques you’ve just learnt to complete hands-on tasks and obtain results. Just as there are many statistical and machine learning methods for big data analytics, there are also many software packages (see ‘Requirements’ below) that can be used for this purpose. In this course, we will expose you to three such packages, so that you can start to become familiar with using different tools, and can gain confidence in going further with these packages or using others that may come your way. 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: Tomasz Bednarz Amy Cook Miles McBain Kerrie Mengersen Sam Rathmanner Nan Ye Requirements You will enjoy this course most and benefit from the learning experience if you have a basic understanding of statistics and mathematics at an undergraduate level. In this course you will be using the following free tools. Please review the product websites below to ensure your system meets the minimum requirements: R and R Studio Desktop (open source edition) You will complete practical exercises using R Studio, so you’ll need to be familiar enough with R to: install a package import data read and run starter code develop a solution or read through a solution and gain understanding from it. NOTE: You must first have a working installation of R to use R Studio. H2O Flow H2O Flow can be used as a stand-alone package for big data analytics or can be used in conjunction with R. This package will allow you to tackle larger problems that you might encounter in your own work. WEKA WEKA is a popular workbench for machine learning and statistical analysis. It comprises a very wide range of tools that are suitable for big data analysis. Knowing R, H2O Flow and WEKA will give you a powerful, flexible and scalable set of tools to manipulate and analyse big data. [-]

Mastering Mathematical Finance Online Courses - Numerical Methods in Finance with C++

Department of Mathematics University of York - Online Programs
Online Part time 4 - 8 months August 2017 United Kingdom York

Driven by concrete computational problems in quantitative finance, this book provides aspiring quant developers with the numerical techniques and programming skills they need. The authors start from scratch, so the reader does not need any previous experience of C++. [+]

The courses are based on 8 books from the "Mastering Mathematical Finance" (MMF) series published by Cambridge University Press. There are 8 individual courses - each covering the contents of one of the books. Delivery is by means of one-to-one tutorials conducted via Skype by the authors and editors of the series, and regular coursework. Who are the courses aimed at? The courses are designed to meet the continuing professional development and training needs of: Finance or IT professionals working in quantitative finance and risk management Individuals seeking a career change, managers who need to keep abreast with progress in these fields Prospective students who would like to prepare for entry to relevant postgraduate degree programmes Pre-sessional course (Pre-sessional course "Mathematics for Quantitative Finance" - This course is suitable for candidates who need to consilidate their mathematics background before embarking on some or all of the 8 courses. Cost - £1500) Method of Delivery List of Courses Each online course to be based on a book from the MMF series, with an additional set of exercises, and involves 10 rounds of activities culminating in 10 one-to-one online sessions. Each course takes aproximately 4 - 8 months to complete. Each of the 10 rounds consists of: self-study based on the book, problem solving: solutions submitted and marked electronically, model solutions to the problems attempted, written feedback on the work submitted, one-hour one-to-one online session via Skype with screen sharing, conducted by one of the authors of the MMF series, tailor-made for individual requirements, a combination of lectures and tutorials. Additionally, each module to provide: an online discussion forum, email support, final test. Induction meeting via Skype to cover technical matters before the start of the first module (including help in using the software needed for online delivery). Each student will need a decent internet connection (broadband standard), a Windows or Mac computer and a Skype account. There is some additional free software to install such as the LyX mathematical editor. Additional pre-sessional course available for delegates who need to revise or acquire relevant mathematical background. About the Numerical Methods in Finance with C++ Driven by concrete computational problems in quantitative finance, this book provides aspiring quant developers with the numerical techniques and programming skills they need. The authors start from scratch, so the reader does not need any previous experience of C++. Beginning with straightforward option pricing on binomial trees, the book gradually progresses towards more advanced topics, including nonlinear solvers, Monte Carlo techniques for path-dependent derivative securities, finite difference methods for partial differential equations, and American option pricing by solving a linear complementarity problem. Further material, including solutions to all exercises and C++ code, is available online. The book is ideal preparation for work as an entry-level quant programmer and it gives readers the confidence to progress to more advanced skill sets involving C++ design patterns as applied in finance. Written specifically at the Master's level by experienced lecturers, so readers can dive in directly The mathematics is rigorous but also motivated, so readers see how to apply what they learn Online material includes solutions to exercises and C++ code [-]

CIW Perl Specialist Training with Exam (1D0-437)

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

Take your knowledge of Perl programming language up to a level of mastery with this CIW Perl Specialist course and prove your abilities working with the web app development tool with the official certification. [+]

Top Online Courses in Data Science. What are the objectives of this course? The course will run students through the functions of Perl which is one of the original program languages and fully prepare them for their 1D0-437 exam. The examination has a time limit of 75 minutes, in which candidates have 50 questions to answer. In order to pass you must achieve a minimum pass mark of 75%. Introduction to Perl The uses of the Perl interpreter and understand how to operate the interpreter. Understand the concepts of statements, loops and Boolean expressions. Learn how to manipulate strings using regular expressions and store program data using arrays. Manipulate data with keys and use hashes to organise the data. Use subroutines to organise code to make it more logical and easier to debug. Implement object-orientated programming techniques using Perl. Debugging Perl. Basics of database programming Who is it intended for? This course is ideal for web developers, programmers and application developers who wish to build a knowledge of the Perl language. Requirements There are no official pre-requisites for this course but we recommend candidates to have a basic knowledge of programming. What marks this course apart? Once students have completed the course and passed the exam they will be able to function in roles such as web developer, software developer and server developer. They can also take other programming courses which would go hand-in-hand with the Perl language. 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. [-]

CIW Perl Specialist Training (1D0-437)

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

Learn how to fully utilise the features of the Perl programming language in web application development with this course from CIW. [+]

What are the objectives of this course? This course will help programmers of all levels get to grips with every function that the Perl programming language has to offer. Perl language essentials including syntax, regular expressions and data types. Server scripting, focusing on Perl language. Perl code development including access and manipulating input and output files. Implement websites including database connectivity and debugging techniques. Improve and maintain hypertext-based websites. Understand how to debug Perl Object-Oriented Perl Database connectivity and Perl Who is it intended for? This course is suitable for anyone, from beginners looking to learn about Perl programming language to IT programmers who are looking to enhance their skillset by learning new web scripting techniques. Requirements There are no official pre-requisites for this course but we recommend candidates to have a basic knowledge of programming. What marks this course apart? Once students have taken and completed this course they will be eligible to sit the 1D0-437 exam. This course will allow them to function in role such as web developer, software developer and server developer. 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. [-]

CIW Database Design Specialist Training with Exam (1D0-541)

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

Prove your understanding of product-focused database solutions with this CIW Database Design Specialist course and exam package that will give you the certification you need. [+]

Top Online Courses in Data Science. What are the objectives of this course? This qualification will give students the necessary knowledge to plan and design product-focused database solutions for businesses and the certification to prove those skills to potential employers. The exam has a time limit of 90 minutes and there are a total of 50 questions. Candidates need to achieve a minimum score of 75% to pass. Introduction to Databases Logical Database Design Relational Database Physical Database Design Database Planning Structured Query Language (SQL) Overview of Database Design Methodology Relational Algebra Normalisation Transactions and Database Security Who is it intended for? This package is for anyone who is looking to upskill in their current workplace or looking to switch careers into database design and optimisation. Requirements There are no official pre-requisites for this course, however it is recommended that students have a basic knowledge of the purpose and function of a database and basic computer literacy. What marks this course apart? Candidates who pass this course will be able to function in roles such as database developer, database administrator and application developer. This course also goes hand-in-hand with other CIW training programmes as well as further database qualifications. 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. [-]

CIW Database Design Specialist Training (1D0-541)

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

Get an in-depth understanding of product-focused databases and how they help business operations run smoothly with this CIW Database Design Specialist course. [+]

What are the objectives of this course? Learn the ins and outs of planning and designing database solutions for a corporate environment using different products with this Database Design Specialist course. Introduction to Databases Logical Database Design Relational Database Physical Database Design Database Planning Structured Query Language (SQL) Overview of Database Design Methodology Relational Algebra Normalisation Transactions and Database Security Who is it intended for? This course is for anyone who is looking to upskill to be given more responsibility in their current IT job role or anyone who is looking to get into a career in database design and optimisation. Requirements There are no official pre-requisites for this course, however it is recommended that students have a basic knowledge of the purpose and function of a database. What marks this course apart? Once students have completed this course they will be fully prepared to sit the 1D0-541 examination. They will be able to function in roles such as database developer, database administrator and application developer. 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. [-]

Microsoft MCSE - Business Intelligence (70-466, 70-467) with Live Labs

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

Create new opportunities in the IT industry using SQL Server 2012 as a foundation for building Business Intelligence (BI) and reporting solutions that deliver more data across an organisation. [+]

Top Online Courses in Data Science. What are the objectives of this course? Students will learn how to design, build and deploy SQL Server BI solutions that deliver more data to more people across the organisation. This MCSE SQL Server Business Intelligence course also grants the student access to the Live Labs. This valuable learning resource allows candidates to design and test their own BI applications and reports using live equipment, they can also recreate scenarios in the course to ensure full retention of the concepts being taught. The course starts with the three modules that make up the MCSA SQL Server 2012 course: Microsoft 70-461: Querying Microsoft SQL Server 2012 Microsoft 70-462: Administering SQL Server 2012 Databases Microsoft 70-463: Implementing a Data Warehouse with SQL Server 2012 The course then continues with the two modules that make up the MCSE SQL Server 2012 Business Intelligence. The first of those modules, Microsoft 70-466: Implementing Data Models and Reports with Microsoft SQL Server 2012, will take students through: How to work with large datasets across multiple platforms as is common in most modern BI applications and reports. Building Online Analytical Processing (OLAP) cubes and supporting structures such as pivot tables, PowerPivot solutions and Multidimensional Expressions (MDX) to deliver information quickly and efficiently to analysts. Choosing between the Unified Dimensional Model (UDM) and Business Intelligence Semantic models according to specific business data and reporting needs. Developing complex SQL queries to mine multiple datasets and building reports using Crescent. Microsoft 70-467: Designing Business Intelligence Solutions with Microsoft SQL Server 2012: Designing BI solutions that meet current and future performance and scalability needs. Using Excel Services and SharePoint Reporting integration to allow for improved data analysis and integration with other line of business applications. Designing, deploying and managing SSIS package to extend BI application functionality and expose more data for reporting and modelling. Who is it intended for? This course is suitable for IT professionals who want to reap the benefits of having the ability to deploy BI solutions in an enterprise-class environment. Requirements There are no pre-requisites to take this course. What marks this course apart? Professionals with the Business Intelligence qualification usually function in roles such as BI analyst, BI architect or BI developer. These roles usually offer an average salary of £40,000. Source: PayScale 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. [-]

Microsoft MCSE - Data Platform (70-464, 70-465) with Live Labs

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

Search for opportunities in the IT industry using the knowledge gained in this MCSE Data Platform course. Upon completion you will be able to build and administer SQL Server and data solutions in an enterprise environment. [+]

What are the objectives of this course? In this course, candidates will fully understand the concepts behind Microsoft SQL Server 2012 and how to build and query complex database solutions in a real world environment. Students will also get 12 months access to our dedicated Live Labs where they will be able to recreate course scenarios and design new database solutions without building a costly lab of their own. Microsoft 70-641: Querying SQL Server 2012 Microsoft 70-462: Administering SQL Server 2012 Databases Microsoft 70-643: Implementing a Data Warehouse with SQL Server 2012 After completing the three MCSA SQL Server 2012 modules, students will then shift focus to the elements that make the MCSE SQL 2012 Data Platform with two additional modules. The first of those, Microsoft 70-464: Developing Microsoft SQL Server 2012 Databases, will take students through: Mastering data using Master Data Services. Ensuring data accuracy using Data Quality Services. Managing, configuring and deploying SQL Server Integration Services (SSIS) packages to automate and extend BI functionality. Performing data manipulation, transformation and integration operations. Troubleshooting data integration and quality issues. Creating and altering tables, constraints, data types, indexes and scalar functions. Designing and building advanced solutions that deliver the concurrency, integrity and reliability demanded by enterprise-class database provisions and off-loading processing requirements from custom applications. Optimising data and data access routines to improve efficiency and resource load in preparation for use with BI applications. Using performance and system information to implement a continual maintenance and improvement program. The final module, Microsoft 70-465: Designing Database Solutions for Microsoft SQL Server 2012, will focus on: Using data compression techniques to maximise storage and bandwidth usage. Building database models with lock granularity and search strategies tailored to business needs. Designing and constructing full-lifecycle database environment that consider expansion, upgrade and migration needs from the outset. Applying automation to streamline management and data processing, reducing administrator workloads. Who is it intended for? The MCSE Data Platform course is for IT professionals who want to learn the skills needed to design and implement database solutions for an organisation. Requirements There are no pre-requisites for this course. What marks this course apart? IT professionals who complete the Data Platform MCSE usually go into roles such as database analyst or database designer. These roles average a salary of £32,000. Source: PayScale 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. [-]

Microsoft MCSA - SQL Server (70-461, 70-462, 70-463) with Live Labs

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

Gain a full understanding of the SQL Server environment and be able to implement that knowledge into a business context, aiding you in your search for employment opportunities. [+]

Top Online Courses in Data Science. What are the objectives of this course? This course package covers everything from the core fundamentals of querying tables through to building an enterprise-class data warehouse. As with all of our technical IT packages, we provide 12 months unlimited access to our dedicated Live Labs. This live equipment allows students to input their knowledge and put it to the test by recreating course scenarios and roaming around the live environment without putting their system at risk. It’s a very cost-effective and risk-free way to ensure an understanding of the key Microsoft concepts. This course is made up of three modules: Microsoft 70-461: Querying SQL Server 2012 The Transact-SQL (T-SQL) language and how to build efficient queries, stored procedures and views that return key information quickly. How to combine datasets, rank results and extend tables programmatically. Optimise T-SQL statements for the most efficient operation. Extend reporting and data transfer capabilities using XML. Microsoft 70-462: Administering SQL Server 2012 Databases Appreciate the correct way to install and use add-on components, instances and services. Build systems for high availability environments using AlwaysOn, mirroring and replication to keep data online at all times. How to protect information from loss using database backup, restore and disaster recovery (DR) techniques. Securing database contents by configuring permissions, alerts, logins, roles and more. Practical troubleshooting, maintenance and optimisation techniques Microsoft 70-463: Implementing a Data Warehouse with SQL Server 2012 Advanced data management concepts like data cleansing techniques and Extract Transform Load (ETL) package development and scheduling will keep information accurate, improve data management, transfer and synchronisation for enterprise-class system design. How to automate and simplify database management by using SSIS to manage package execution, task execution and scripts. How best to maintain server health by using auditing, logging and event handling to assess and troubleshoot potential problems. Who is it intended for? This course is perfect for administrators, system engineers and developers who are looking to earn an industry-recognised qualification. It is also suitable for any IT professional who is looking to upgrade their skillset with an understanding of key server management fundamentals. Requirements There are no pre-requisites for this course. What marks this course apart? IT professionals who have the MCSA SQL Server 2012 qualification can function in roles such as database administrator, database analyst and SQL developer. These roles average a salary of £30,000 a year. Source: PayScale 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. [-]