About this Course
4.5
4,300 ratings
837 reviews
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 4 hours to complete

Suggested: 1 week of study, 4-6 hours...
Available languages

English

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

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 ScienceData AnalysisMachine LearningProject
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 4 hours to complete

Suggested: 1 week of study, 4-6 hours...
Available languages

English

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

Syllabus - What you will learn from this course

Week
1
Hours to complete
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
4.5
837 ReviewsChevron Right
Career direction

26%

started a new career after completing these courses
Career Benefit

83%

got a tangible career benefit from this course
Career promotion

19%

got a pay increase or promotion

Top Reviews

Highlights
Basic course
(76)
Well taught
(48)
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.

By JMJan 2nd 2018

It is a very good course even if you are familiar with some aspects of data science work. If I have to make a suggestion, I would remark the importance of design skills during a data product,

Instructors

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Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
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Brian Caffo, PhD

Professor, Biostatistics
Bloomberg School of Public Health
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Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

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....

About the Executive Data Science Specialization

Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects. In four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you’ll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects....
Executive Data Science

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.