Course HighlightsCOURSE
Introduction to Data Science

Introduction to Data Science

Introduction to Data Science Highlights

Course enrollment

Starts on

17 June 2019

Enrollment closes on
30 September 2019

  Course Fee

Fee

US$89 - US$149

Course enrollment

Starts on

17 June 2019

Enrollment closes on
30 September 2019

Course Fee

Fee

US$89 - US$149

Enrollment is Closed

About this course

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.

edX offers financial assistance for learners who want to earn Verified Certificates but who may not be able to pay the fee. To apply for financial assistance, enroll in the course, then follow this link to complete an application for assistance.

What you'll learn

  • How the Microsoft Data Science curriculum works
  • How to navigate the curriculum and plan your course schedule
  • Basic data exploration and visualization techniques in Microsoft Excel
  • Foundational statistics that can be used to analyze data

Prerequisites

No prerequisites

Meet the instructors

Graeme Malcolm

Graeme Malcolm

Senior Content Developer
Microsoft Learning Experiences

Graeme has been a trainer, consultant, and author for longer than he cares to remember, specializing in SQL Server and the Microsoft data platform. He is a Microsoft Certified Solutions Expert for the SQL Server Data Platform and Business Intelligence. After years of working with Microsoft as a partner and vendor, he now works in the Microsoft Learning Experiences team as a senior content developer, where he plans and creates content for developers and data professionals who want to get the best out of Microsoft technologies.

Liberty J.Munson

Liberty J.Munson

Principal Psychometrician and Quality Lead
Microsoft

Liberty is the Principal Psychometrician and Quality Lead for Microsoft Learning’s technical certification and assessment program. She is responsible for ensuring that psychometric standards are rigorously applied during all phases of the exam and assessment lifecycle and that the design and implementation of Microsoft’s Certification program results in valid and reliable measurements of candidate skills. She received her BS in Psychology from Iowa State University and her MA and PhD in Industrial/Organizational Psychology with minors in Quantitative Psychology and Human Resource Management from the University of Illinois at Urbana-Champaign.

Course Outline

Enrollment is Closed
Welcome
Pre-Course Survey
Welcome to the Course
What Do You Enjoy About Being a Data Scientist?
What Does a Data Scientist Do?
What Kind of Person Succeeds as a Data Scientist?
What Skills Does a Data Scientist Need?
What Advice Would You Give an Aspiring Data Scientist?
Getting Started with Data
Sorting and Filtering Data
Derived Data
Highlighting Data
Getting Started with Excel Online
Lab Instructions
Lab Check
Aggregating Data
Grouping and Summarizing Data
Visualizing Data
Analyzing Data in Excel Online
Lab Instructions
Lab Check
Measuring Central Tendency
Measuring Variance
Skewed Distributions
Working with Samples
Correlation
Hypothesis Testing
A Handy Handout
Lab Instructions
Lab Check
What is Machine Learning?
Regression
Classification
Clustering
Some Useful Resources
Lab Instructions
Lab Check
What Next?
Before You Go
Course Certificate

Earn your certificate

Once you have completed this course, you will earn your certificate.

Introduction to Data Science