A Crash Course in Data Science

4.4
3,757 ratings
747 reviews

Course 1 of 5 in the Executive Data Science Specialization

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. 1. How to describe the role data science plays in various contexts 2. How statistics, machine learning, and software engineering play a role in data science 3. How to describe the structure of a data science project 4. Know the key terms and tools used by data scientists 5. How to identify a successful and an unsuccessful data science project 3. The role of a data science manager Course cover image by r2hox. Creative Commons BY-SA: https://flic.kr/p/gdMuhT
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100% online courses

Start instantly and learn at your own schedule.
Clock

Approx. 4 hours to complete

Suggested: 1 week of study, 4-6 hours
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English

Subtitles: English, Turkish, Russian, Chinese (Traditional)

What you will learn

  • Check
    Describe Data Science’s role in various contexts
  • Check
    Predict whether a Data Science project will be successful
  • Check
    Understand how Statistics and Machine Learning affect Data Science
  • Check
    Use the key terms used by data scientist

Skills you will gain

Data ScienceMachine LearningData AnalysisStatistics
Globe

100% online courses

Start instantly and learn at your own schedule.
Clock

Approx. 4 hours to complete

Suggested: 1 week of study, 4-6 hours
Comment Dots

English

Subtitles: English, Turkish, Russian, Chinese (Traditional)

Syllabus - What you will learn from this course

1

Section
Clock
4 hours to complete

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....
Reading
11 videos (Total 78 min), 8 readings, 9 quizzes
Video11 videos
What is Data Science?5m
Statistics by example activities11m
Machine learning, the basics13m
Machine learning further reading3m
What is Software Engineering for Data Science?6m
The Structure of a Data Science Project6m
The outputs of a data science experiment6m
The four secrets of a successful data science experiment14m
Data Scientist Toolbox5m
Separating Hype from Value3m
Reading8 readings
Specialization Textbook10m
Grading10m
Pre-Course Survey10m
Statistics by example activities10m
Machine learning10m
The outputs of a data science experiment10m
The four secrets of a successful data science experiment10m
Post-Course Survey10m
Quiz9 practice exercises
What is data science?2m
What is statistics good for?10m
Machine learning8m
Quiz: Software Engineering6m
Structure of a Data Science Project8m
The outputs of a data science experiment10m
Defining Success in Data Science8m
Data scientist toolbox8m
Separating hype from value8m
4.4
Direction Signs

26%

started a new career after completing these courses
Briefcase

83%

got a tangible career benefit from this course
Money

19%

got a pay increase or promotion

Top Reviews

Highlights
Well taught
(48)
Basic course
(76)
By ASNov 23rd 2017

A very interesting course, expecially for someone with just a little experience in the field. I highly recommend it to all business / IT / project managers who work a lot with data scientists.

By SJSep 10th 2017

This is a great starter course for data science. My learning assessment is usually how well I can teach it to someone else. I know I have a better understanding now, than I did when I started.

Instructors

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Jeff Leek, PhD

Associate Professor, Biostatistics
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Brian Caffo, PhD

Professor, Biostatistics
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Roger D. Peng, PhD

Associate Professor, Biostatistics

About Johns Hopkins University

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world....

Frequently Asked Questions

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