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DAT203 - Data Science Essentials

Data Science Essentials (DAT203) marks the point where we have enough foundation that we can start forming a bigger picture of data science. To that goal, the course provides this definition:

Data Science is the exploration and quantitative analysis of all available structured and unstructured data to develop understanding, extract knowledge, and formulate actionable results.

DAT204 - Intro to R for Data Science

SQL developer notes about the Intro to R for Data Science within the Microsoft Professional Program in Data Science. Great language, great course...

DAT222x - Essential Statistics for Data Analysis using Excel

Call me a nerd, but statistics are fascinating and useful. I'd had quite a bit of course-work years ago in school, and was looking forward to "Essential Statistics for Data Analysis using Excel" as a refresher course. Unfortunately, the experience of this edX course might be tag-lined "Sadistics." Completing this was a painful experience.

DAT207x - Analyzing and Visualizing Data with PowerBI

The course "Analyzing and Visualizing Data with PowerBI" is devoted to showing the capabilities of this Microsoft tool. For those who have worked previously with Excel, Microsoft Access or SQL Server Reporting Services -- the video demonstration of PowerBI capabilities will cause you to repeatedly think "wow -- that is slick." As an example, pictured below is one of the dashboards created as part of the course.


DAT201x - Querying with Transact-SQL

A database analyst's experience taking the "Querying with Transact-SQL" online class that is part of the Microsoft Professional Program in Data Science. This is the 2nd class in the series and participants should consider auditing it initially unless they've used T-SQL in the past. This is an altogether excellent course.

DAT101 - Data Science Orientation

"Data Science Orientation" is the first class in the Microsoft Professional Program (MPP) for Data Sciences. This class is a warm-up exercise for the larger program. It outlines the 10-part certificate process and introduces you to five current data scientists who answer questions about their career. Are you wondering what skills and personality traits will help you succeed as a data scientist? The professional interviews offer practical insight on those topics.