Azure Cloud Advocates at Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science. Each lesson includes pre-lesson and post-lesson quizzes, written instructions to complete the lesson, a solution, and an assignment. Our project-based pedagogy allows you to learn while building a proven way for new skills to ‘stick’.
Defining Data Science
Learn the basic concepts behind data science and how it’s related to artificial intelligence, machine learning, and big data.
Data Science Ethics
Data Ethics Concepts, Challenges & Frameworks.
Defining Data
How data is classified and its common sources.
Introduction to Statistics & Probability
The mathematical techniques of probability and statistics to understand data.
Working with Relational Data
Introduction to relational data and the basics of exploring and analyzing relational data with the Structured Query Language, also known as SQL (pronounced “see-quell”).
Working with NoSQL Data
Introduction to non-relational data, its various types and the basics of exploring and analyzing document databases.
Working with Python
Basics of using Python for data exploration with libraries such as Pandas. A foundational understanding of Python programming is recommended.
Data Preparation
Topics on data techniques for cleaning and transforming the data to handle missing, inaccurate, or incomplete data challenges.