A Crash Course in Data Science

Online Course Highlights

Johns Hopkins University via Coursera
Learn for FREE, Up-gradable
4 hours of effort required
131,687+ already enrolled!
4.5 ★★★★★ (5,835 Ratings)
Skill Level: Mixed
Language: English

By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists.

The goal is to get you up to speed as quickly as possible on data science without all the fluff. We’ve designed this course to be as convenient as possible without sacrificing any of the essentials.

This is a focused course designed to rapidly get you up to speed on the field of data science. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We’ve left the technical information aside so that you can focus on managing your team and moving it forward.

After completing this course you will know:

How to describe the role data science plays in various contexts
How statistics, machine learning, and software engineering play a role in data science
How to describe the structure of a data science project
Know the key terms and tools used by data scientists
How to identify a successful and unsuccessful data science project
The role of a data science manager

Syllabus:

WEEK 1: A Crash Course in Data Science

This one-module course constitutes the first “week” of the Executive Data Science Specialization. This is an intensive introduction to what you need to know about data science itself. You’ll learn important terminology and how successful organizations use data science.

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