About this Course

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Learner Career Outcomes

33%

started a new career after completing these courses

14%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 7 hours to complete
English

What you will learn

  • Identify strengths and weaknesses in experimental designs

  • Learn novel solutions for managing data pulls

  • Describe common pitfalls in communicating data analyses

  • Understand a typical day in the life of a data analysis manager

Skills you will gain

StatisticsData ScienceData AnalysisData Management

Learner Career Outcomes

33%

started a new career after completing these courses

14%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 7 hours to complete
English

Offered by

Placeholder

Johns Hopkins University

Syllabus - What you will learn from this course

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Week
1

Week 1

7 hours to complete

Introduction, the perfect data science experience

7 hours to complete
22 videos (Total 159 min), 10 readings, 6 quizzes
22 videos
Data science in the ideal versus real life Part 14m
Data science in the ideal versus real life Part 23m
Examples7m
Machine Learning vs. Traditional Statistics Part 114m
Machine Learning vs. Traditional Statistics Part 23m
Managing the Data Pull11m
Experimental design and observational analysis10m
Causality part 18m
Causality Part 29m
What Can Go Wrong?: Confounding5m
A/B Testing9m
Sampling bias and random sampling5m
Blocking and adjustment11m
Multiplicity6m
Effect size, significance, & modeling7m
Comparison with benchmark effects4m
Negative controls5m
Non-significance5m
Estimation Target is Relevant10m
Report writing8m
Version control4m
10 readings
Pre-Course Survey10m
Course structure10m
Grading10m
The data pull is clean10m
The experiment is carefully designed10m
The experiment is carefully designed, things to do10m
Results of analyses are clear10m
The decision is obvious10m
The analysis product is awesome10m
Post-Course Survey10m
6 practice exercises
The Data Pull is Clean30m
The experiment is carefully designed principles30m
The experiment is carefully designed, things to do30m
Results of analyses are clear30m
The Decision is Obvious30m
The analysis product is awesome30m

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About the Executive Data Science Specialization

Executive Data Science

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