About this Course

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Approx. 54 hours to complete
English
Subtitles: French, Portuguese (Brazilian), Vietnamese, Korean, Russian, English, Spanish...

Skills you will gain

StatisticsStatistical InferenceStatistical Hypothesis Testing

Learner Career Outcomes

43%

started a new career after completing these courses

40%

got a tangible career benefit from this course

14%

got a pay increase or promotion
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. 54 hours to complete
English
Subtitles: French, Portuguese (Brazilian), Vietnamese, Korean, Russian, English, Spanish...

Offered by

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Johns Hopkins University

Syllabus - What you will learn from this course

Content RatingThumbs Up90%(13,097 ratings)Info
Week
1

Week 1

18 hours to complete

Week 1: Probability & Expected Values

18 hours to complete
10 videos (Total 64 min), 11 readings, 6 quizzes
10 videos
02 01 Introduction to probability6m
02 02 Probability mass functions7m
02 03 Probability density functions13m
03 01 Conditional Probability3m
03 02 Bayes' rule7m
03 03 Independence3m
04 01 Expected values5m
04 02 Expected values, simple examples2m
04 03 Expected values for PDFs7m
11 readings
Welcome to Statistical Inference10m
Some introductory comments10m
Pre-Course Survey10m
Syllabus10m
Course Book: Statistical Inference for Data Science10m
Data Science Specialization Community Site10m
Homework Problems10m
Probability10m
Conditional probability10m
Expected values10m
Practical R Exercises in swirl 110m
1 practice exercise
Quiz 130m
Week
2

Week 2

11 hours to complete

Week 2: Variability, Distribution, & Asymptotics

11 hours to complete
10 videos (Total 76 min), 4 readings, 4 quizzes
10 videos
05 02 Variance simulation examples2m
05 03 Standard error of the mean7m
05 04 Variance data example3m
06 01 Binomial distrubtion3m
06 02 Normal distribution15m
06 03 Poisson6m
07 01 Asymptotics and LLN4m
07 02 Asymptotics and the CLT8m
07 03 Asymptotics and confidence intervals20m
4 readings
Variability10m
Distributions10m
Asymptotics10m
Practical R Exercises in swirl Part 210m
1 practice exercise
Quiz 230m
Week
3

Week 3

12 hours to complete

Week: Intervals, Testing, & Pvalues

12 hours to complete
11 videos (Total 83 min), 5 readings, 4 quizzes
11 videos
08 02 T confidence intervals example4m
08 03 Independent group T intervals14m
08 04 A note on unequal variance3m
09 01 Hypothesis testing4m
09 02 Example of choosing a rejection region5m
09 03 T tests7m
09 04 Two group testing17m
10 01 Pvalues7m
10 02 Pvalue further examples5m
Just enough knitr to do the project3m
5 readings
Confidence intervals10m
Hypothesis testing10m
P-values10m
Knitr10m
Practical R Exercises in swirl Part 310m
1 practice exercise
Quiz 330m
Week
4

Week 4

13 hours to complete

Week 4: Power, Bootstrapping, & Permutation Tests

13 hours to complete
9 videos (Total 86 min), 4 readings, 5 quizzes
9 videos
11 02 Calculating Power12m
11 03 Notes on power4m
11 04 T test power8m
12 01 Multiple Comparisons25m
13 01 Bootstrapping7m
13 02 Bootstrapping example3m
13 03 Notes on the bootstrap10m
13 04 Permutation tests9m
4 readings
Power10m
Resampling10m
Practical R Exercises in swirl Part 410m
Post-Course Survey10m
1 practice exercise
Quiz 430m

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