Online Course in Information Systems in USA

See Online Courses in Information Systems in USA 2017

Information Systems

Education in the United States is mainly provided by the public sector, with control and funding coming from three levels: state, local, and federal, in that order. The common requirements to study at a higher education level in United States will include your admissions essay (also known as the statement of purpose or personal statement), transcript of records, recommendation/reference letters, language tests

Online Course in Information Systems in USA

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Course in Data Science at Scale (Intermediate)

Coursera
Online Part time 5 months Open Enrollment USA USA Online

Learn scalable data management, evaluate big data technologies, and design effective visualizations. This Specialization covers intermediate topics in data science. You will gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and practical statistical and machine learning concepts. [+]

Online Courses in Information Systems in USA. Learn scalable data management, evaluate big data technologies, and design effective visualizations. This Specialization covers intermediate topics in data science. You will gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and practical statistical and machine learning concepts. You will also learn to visualize data and communicate results, and you’ll explore legal and ethical issues that arise in working with big data. In the final Capstone Project, developed in partnership with the digital internship platform Coursolve, you’ll apply your new skills to a real-world data science project. Courses Data Manipulation at Scale: Systems and Algorithms Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we are drowning in it. Extracting knowledge from large, heterogeneous, and noisy datasets requires not only powerful computing resources, but the programming abstractions to use them effectively. The abstractions that emerged in the last decade blend ideas from parallel databases, distributed systems, and programming languages to create a new class of scalable data analytics platforms that form the foundation for data science at realistic scales. In this course, you will learn the landscape of relevant systems, the principles on which they rely, their tradeoffs, and how to evaluate their utility against your requirements. You will learn how practical systems were derived from the frontier of research in computer science and what systems are coming on the horizon. Cloud computing, SQL and NoSQL databases, MapReduce and the ecosystem it spawned, Spark and its contemporaries, and specialized systems for graphs and arrays will be covered. You will also learn the history and context of data science, the skills, challenges, and methodologies the term implies, and how to structure a data science project. At the end of this course, you will be able to: Learning Goals: 1. Describe common patterns, challenges, and approaches associated with data science projects, and what makes them different from projects in related fields. 2. Identify and use the programming models associated with scalable data manipulation, including relational algebra, mapreduce, and other data flow models. 3. Use database technology adapted for large-scale analytics, including the concepts driving parallel databases, parallel query processing, and in-database analytics 4. Evaluate key-value stores and NoSQL systems, describe their tradeoffs with comparable systems, the details of important examples in the space, and future trends. 5. “Think” in MapReduce to effectively write algorithms for systems including Hadoop and Spark. You will understand their limitations, design details, their relationship to databases, and their associated ecosystem of algorithms, extensions, and languages. Write programs in Spark. 6. Describe the landscape of specialized Big Data systems for graphs, arrays, and streams Practical Predictive Analytics: Models and Methods Statistical experiment design and analytics are at the heart of data science. In this course you will design statistical experiments and analyze the results using modern methods. You will also explore the common pitfalls in interpreting statistical arguments, especially those associated with big data. Collectively, this course will help you internalize a core set of practical and effective machine learning methods and concepts, and apply them to solve some real world problems. Learning Goals: After completing this course, you will be able to: 1. Design effective experiments and analyze the results 2. Use resampling methods to make clear and bulletproof statistical arguments without invoking esoteric notation 3. Explain and apply a core set of classification methods of increasing complexity (rules, trees, random forests), and associated optimization methods (gradient descent and variants) 4. Explain and apply a set of unsupervised learning concepts and methods 5. Describe the common idioms of large-scale graph analytics, including structural query, traversals and recursive queries, PageRank, and community detection. Communicating Data Science Results Important note: The second assignment in this course covers the topic of Graph Analysis in the Cloud, in which you will use Elastic MapReduce and the Pig language to perform graph analysis over a moderately large dataset, about 600GB. In order to complete this assignment, you will need to make use of Amazon Web Services (AWS). Amazon has generously offered to provide up to $50 in free AWS credit to each learner in this course to allow you to complete the assignment. Further details regarding the process of receiving this credit are available in the welcome message for the course, as well as in the assignment itself. Please note that Amazon, University of Washington, and Coursera cannot reimburse you for any charges if you exhaust your credit. While we believe that this assignment contributes an excellent learning experience in this course, we understand that some learners may be unable or unwilling to use AWS. We are unable to issue Course Certificates for learners who do not complete the assignment that requires use of AWS. As such, you should not pay for a Course Certificate in Communicating Data Results if you are unable or unwilling to use AWS, as you will not be able to successfully complete the course without doing so. Making predictions is not enough! Effective data scientists know how to explain and interpret their results, and communicate findings accurately to stakeholders to inform business decisions. Visualization is the field of research in computer science that studies effective communication of quantitative results by linking perception, cognition, and algorithms to exploit the enormous bandwidth of the human visual cortex. In this course you will learn to recognize, design, and use effective visualizations. Just because you can make a prediction and convince others to act on it doesn’t mean you should. In this course you will explore the ethical considerations around big data and how these considerations are beginning to influence policy and practice. You will learn the foundational limitations of using technology to protect privacy and the codes of conduct emerging to guide the behavior of data scientists. You will also learn the importance of reproducibility in data science and how the commercial cloud can help support reproducible research even for experiments involving massive datasets, complex computational infrastructures, or both. Learning Goals: After completing this course, you will be able to: 1. Design and critique visualizations 2. Explain the state-of-the-art in privacy, ethics, governance around big data and data science 3. Use cloud computing to analyze large datasets in a reproducible way. Data Science at Scale - Capstone Project In the capstone, students will engage on a real world project requiring them to apply skills from the entire data science pipeline: preparing, organizing, and transforming data, constructing a model, and evaluating results. Through a collaboration with Coursolve, each Capstone project is associated with partner stakeholders who have a vested interest in your results and are eager to deploy them in practice. These projects will not be straightforward and the outcome is not prescribed -- you will need to tolerate ambiguity and negative results! But we believe the experience will be rewarding and will better prepare you for data science projects in practice. [-]

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. [+]

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. [-]

Introduction to SQL Online Course

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

You'll learn how to read and write simple and complex SQL statements, and advanced data manipulation techniques. [+]

Online Courses in Information Systems in USA. Learn the Basic Structure of Relational Databases You'll learn how to read and write simple and complex SQL statements, and advanced data manipulation techniques. Course Fast Facts: Only 6 weeks to complete this course 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 to study online course? 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 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 Database Basics, and Structures Query Language In our first lesson, we'll explore the basic structure and history of relational databases. Then, you'll understand what SQL is and how it is used with a relational database. Sorting and Retrieving Data In this lesson, you'll learn how to use SQL to sort and retrieve data from tables. We'll talk about important query terms that enable you to communicate with your database, as well as syntax rules that will enable you to create clear and understandable queries while avoiding system generated errors. Filtering Data In this lesson, you'll learn how to use SQL to filter retrieved data. You'll practice sorting retrieved data using the ORDER BY clause. You'll be able to sort single and multiple columns, and you'll know how to specify sort directions such as ascending and descending order. You'll also learn additional query terms that will help you customize your SQL queries. Calculated Fields and Functions Today, you'll learn how to reformat retrieved data with calculated fields and functions. You'll also learn how to create alternate names for columns and you'll discover the secret behind merging columns with the concatenation symbol. Summarizing and Grouping Data In this lesson, we'll discuss gathering significant statistics from data using aggregate functions. You'll also learn how to use the GROUP BY clause in conjunction with an aggregate function to gather important statistics from a table. Then you'll find out how to use the HAVING clause in conjunction with an aggregate function to filter groups of data from a table. Working with Subqueries Today's lesson is all about subqueries. You'll learn how to extract data from multiple tables simultaneously, how to use calculated fields in subqueries, how to use the DATEPART () function in subqueries, and how to use aggregate functions in subqueries. Then we'll talk about qualification—a technique used to combine a table name with a column name so there's no question about which table the column name refers to. Creating and Using Table Joins In this lesson, you'll learn how to use joins to gather information from two or more tables simultaneously. You'll learn how to use the inner join, self-join, natural join, and the outer join. Then you'll become familiar with the term Cartesian product. Inserting, Updating, and Deleting Data In today's lesson, you'll discover how to manipulate data using the INSERT, UPDATE, and DELETE statements. You'll learn how to insert partial and complete rows into a table, and how to update information already stored in a table. You find out how to transfer data to a new table, how to transfer data to an existing table, and how to delete rows from a table. Table Creation and Maintenance Today, you'll find out how SQL can be used to create and maintain tables. You'll learn how to use the CREATE TABLE keywords to create a table, then we'll discuss how to use the ALTER TABLE, DROP TABLE, ADD COLUMN, and DROP COLUMN keywords to manipulate the tables themselves. You'll also find out how to define a primary key, data type, and field size. Creating and Understanding Views In this lesson, you'll learn how and why views are used in SQL. You'll learn how to create and use views to simplify complex queries, summarize data, and manipulate data stored in tables. I'll also teach you how to update and delete a view. Understanding Transaction Processing, Constraints, and Indexes Today, you'll learn how transaction processing, constraints, and indexes are implemented in SQL. You'll work through an example that demonstrates how a transaction is created, how constraints are used in the creation of a table, and how indexes are used to improve the performance of a database by optimizing the speed at which queries are processed. Understanding Stored Procedures, Triggers, and Cursors In our last lesson, you'll find out how stored procedures, triggers, and cursors are implemented in SQL. You'll see how stored procedures are created and executed, as well as how triggers work. You'll also see how cursors are declared in SQL. 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 [-]

The Ultimate Internationally Accredited Microsoft Office Online Library

Courses for Success
Online Full time Part time Open Enrollment USA USA Online

Invest in your future, build your skills and achieve your goals by becoming a member of our entire library of Internationally Accredited Microsoft Office Online Course. [+]

EXCLUSIVE ONLY AT KEYSTONE ACADEMY! 365, Word, Excel, PowerPoint, OneNote & many more Courses Invest in your future, build your skills and achieve your goals by becoming a member of our entire library of Internationally Accredited Microsoft Office Online Course. If you are planning on doing more than one course, becoming a member of our Intrenationally Accredited Microsoft Office Online Course Library is the best and most economical option. The Internationally Accredited Microsoft Office Online Course Library is designed for basic to advanced users as it covers basic, intermediate and advanced level training, so whether you are just starting out with Microsoft Office or are an avid user looking to make the most of this new software, this may just be the package for you! With our Internationally Accredited Microsoft Office Online Course Library you will be trained in all aspects of Microsoft applications including 365, Word, Excel, PowerPoint, OneNote, Outlook, Project and Publisher. You will have access to all online courses that cover basic, intermediate and advanced level training. Plus you will also receive access to new courses as they are added to the library. On completion of this extensive Internationally Accredited Microsoft Office Online Course Library, you will be able to use Microsoft Office to its full potential. Save hundreds to thousands of dollars by not paying for each course individually! This is an incredible opportunity to invest in yourself and your future, be quick this offer is only available for a limited time! Internationally Accredited Microsoft Office Online Course Library Fast Facts: All courses are easy to follow and understand Only 6 to 8 hours of study is required per course 12 months membership to Microsoft Office Course Library Study as many courses as you want 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 How to study Internationally Accredited Microsoft Office Online Course Library? Upon enrolment an automated email will be sent, advising you of our enrolment process (please check your junk email inbox if not received as this is an automated email), in order for you to access your online material, which is Available 24/7 on any computer or smart mobile device. Recognition & Accreditation These courses are internationally recognized and accredited by the International Association of Online Training Standards (IAOTS). The courses offered by Courses For Success are unique as they are taught in a step by step process enabling students to complete them quickly and easily, so that you can obtain your qualification sooner. All students who complete the course receive a certificate of completion. Courses For Success is committed to high completion rates and therefore 100% student satisfaction. Units of Study Here are all the Microsoft Short Courses available: Certificate In Access 2010 Advanced Certificate In Access 2010 Essentials Certificate In Access 2010 Expert Certificate In Access 2013 Advanced Certificate In Access 2013 Essentials Certificate In Access 2013 Expert Certificate In Excel 2010 Advanced Certificate In Excel 2010 Essentials Certificate In Excel 2010 Expert Certificate In Excel 2013 Advanced Certificate In Excel 2013 Essentials Certificate In Excel 2013 Expert Certificate In InfoPath 2010 Advanced Certificate In InfoPath 2010 Essentials Certificate In InfoPath 2010 Expert Certificate In OneNote 2010 Advanced Certificate In OneNote 2010 Essentials Certificate In OneNote 2013 Advanced Certificate In OneNote 2013 Essentials Certificate In Outlook 2010 Advanced Certificate In Outlook 2010 Essentials Certificate In Outlook 2010 Expert Certificate In Outlook 2013 Advanced Certificate In Outlook 2013 Essentials Certificate In Outlook 2013 Expert Certificate In PowerPoint 2010 Advanced Certificate In PowerPoint 2010 Essentials Certificate In PowerPoint 2010 Expert Certificate In PowerPoint 2013 Advanced Certificate In PowerPoint 2013 Essentials Certificate In PowerPoint 2013 Expert Certificate In Publisher 2010 Advanced Certificate In Publisher 2010 Essentials Certificate In Publisher 2013 Advanced Certificate In Publisher 2013 Essentials Certificate In Visio 2010 Advanced Certificate In Visio 2010 Essentials Certificate In Word 2010 Advanced Certificate In Word 2010 Essentials Certificate In Word 2010 Expert Certificate In Word 2013 Advanced Certificate In Word 2013 Essentials Certificate In Word 2013 Expert New Microsoft Short Courses Just Launched!: Certificate In Excel 365 Essentials Certificate In Lync 365 Essentials Certificate In OneNote 365 Essentials Certificate In Outlook 365 Essentials Certificate In PowerPoint 365 Essentials Certificate In SharePoint 365 Essentials Certificate In Word 365 Essentials Certificate In Windows 7 Essentials Certificate In Windows 8 Essentials 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 [-]