Data Visualization



E.g., 2016-10-23
E.g., 2016-10-23
E.g., 2016-10-23
Oct 24th 2016

Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for pattern-based classification and some interesting applications of pattern discovery.

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Oct 24th 2016

In this course, we will show you exciting examples of collaborative, interactive web applications that use various types of media including sound, images and big data. We will show you how to build sites that provide precisely this functionality, using Meteor. We will also provide fully working example application code that you can use for your own commercial web projects. The course also provides a range of advice and suggestions about how to develop bespoke web applications which match the requirements of clients, where clients are people who commission the product or people who use the product.

Average: 5.3 (3 votes)
Oct 17th 2016

In this first course of the specialization, you will discover just what data visualization is, and how we can use it to better see and understand data. Using Tableau, we’ll examine the fundamental concepts of data visualization and explore the Tableau interface, identifying and applying the various tools Tableau has to offer.

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Oct 10th 2016

Traverse the data analysis pipeline using advanced visualizations in Python, and make machine learning start working for you.

Average: 9 (2 votes)
Sep 26th 2016

Explore data visualization and exploration concepts with experts from MIT and Microsoft, and get an introduction to machine learning. Demand for data science talent is exploding. Develop your career as a data scientist, as you explore essential skills and principles with experts from MIT and Microsoft. In this data science course, you will learn key concepts in data acquisition, preparation, exploration, and visualization. Plus, look at examples of how to build a cloud data science solution using Azure Machine Learning, R, and Python.

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Sep 5th 2016

Learn Power BI, a powerful cloud-based service that helps data scientists visualize and share insights from their organizations’ data. Power BI is quickly gaining popularity among professionals in data science as a cloud-based service that helps them easily visualize and share insights from their organizations’ data.

Average: 9 (1 vote)
Jul 4th 2016

Get started on your Data Science journey. Learn what it takes to become a data scientist. This is the first stop in the Data Science curriculum from Microsoft. It will help you get started with the program, plan your learning schedule, and connect with fellow students and teaching assistants. Along the way, you’ll get an introduction to working with and exploring data using a variety of visualization, analytical, and statistical techniques.

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Apr 12th 2016

Through inspiring examples and stories, discover the power of data and use analytics to provide an edge to your career and your life. In the last decade, the amount of data available to organizations has reached unprecedented levels. Data is transforming business, social interactions, and the future of our society. In this course, you will learn how to use data and analytics to give an edge to your career and your life.

Average: 7.5 (2 votes)
Mar 7th 2016

Learn how statistics plays a central role in the data science approach.

Average: 7.1 (11 votes)