About this Course

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Learner Career Outcomes

33%

started a new career after completing these courses

30%

got a tangible career benefit from this course

11%

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.
Beginner Level
Approx. 14 hours to complete
English

Skills you will gain

StatisticsR ProgrammingRstudioExploratory Data Analysis

Learner Career Outcomes

33%

started a new career after completing these courses

30%

got a tangible career benefit from this course

11%

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.
Beginner Level
Approx. 14 hours to complete
English

Offered by

Placeholder

Duke University

Syllabus - What you will learn from this course

Content RatingThumbs Up94%(24,278 ratings)Info
Week
1

Week 1

12 minutes to complete

About Introduction to Probability and Data

12 minutes to complete
1 video (Total 2 min), 1 reading
1 reading
More about Introduction to Probability and Data10m
2 hours to complete

Introduction to Data

2 hours to complete
6 videos (Total 28 min), 2 readings, 2 quizzes
6 videos
Data Basics5m
Observational Studies & Experiments4m
Sampling and sources of bias8m
Experimental Design2m
(Spotlight) Random Sample Assignment3m
2 readings
Lesson Learning Objectives10m
Suggested Readings and Practice10m
2 practice exercises
Week 1 Practice Quiz30m
Week 1 Quiz30m
1 hour to complete

Introduction to Data Project

1 hour to complete
2 readings
2 readings
About Lab Choices (Read Before Selection)10m
Week 1 Lab Instructions (RStudio)10m
1 practice exercise
Week 1 Lab: Introduction to R and RStudio30m
Week
2

Week 2

2 hours to complete

Exploratory Data Analysis and Introduction to Inference

2 hours to complete
7 videos (Total 46 min), 3 readings, 2 quizzes
7 videos
Measures of Center4m
Measures of Spread6m
Robust Statistics1m
Transforming Data3m
Exploring Categorical Variables8m
Introduction to Inference12m
3 readings
Lesson Learning Objectives10m
Lesson Learning Objectives10m
Suggested Readings and Practice10m
2 practice exercises
Week 2 Practice Quiz30m
Week 2 Quiz30m
1 hour to complete

Exploratory Data Analysis and Introduction to Inference Project

1 hour to complete
2 readings
2 readings
Week 2 Lab Instructions (RStudio)10m
Week 2 Lab Instructions (RStudio Cloud)10m
1 practice exercise
Week 2 Lab: Introduction to Data30m
Week
3

Week 3

3 hours to complete

Introduction to Probability

3 hours to complete
9 videos (Total 82 min), 3 readings, 2 quizzes
9 videos
Disjoint Events + General Addition Rule9m
Independence9m
Probability Examples9m
(Spotlight) Disjoint vs. Independent2m
Conditional Probability12m
Probability Trees10m
Bayesian Inference14m
Examples of Bayesian Inference7m
3 readings
Lesson Learning Objectives10m
Lesson Learning Objectives10m
Suggested Readings and Practice10m
2 practice exercises
Week 3 Practice Quiz30m
Week 3 Quiz30m
1 hour to complete

Introduction to Probability Project

1 hour to complete
2 readings
2 readings
Week 3 Lab Instructions (RStudio)10m
Week 3 Lab Instructions (RStudio Cloud)10m
1 practice exercise
Week 3 Lab: Probability30m
Week
4

Week 4

3 hours to complete

Probability Distributions

3 hours to complete
6 videos (Total 67 min), 4 readings, 2 quizzes
6 videos
Evaluating the Normal Distribution2m
Working with the Normal Distribution5m
Binomial Distribution17m
Normal Approximation to Binomial14m
Working with the Binomial Distribution9m
4 readings
Lesson Learning Objectives10m
Lesson Learning Objectives10m
Suggested Readings and Practice10m
Data Analysis Project Example10m
2 practice exercises
Week 4 Practice Quiz30m
Week 4 Quiz30m

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