About this Course

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Learner Career Outcomes

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Beginner Level

High school algebra

Approx. 20 hours to complete
English

Skills you will gain

StatisticsData AnalysisPython ProgrammingData Visualization (DataViz)

Learner Career Outcomes

25%

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.
Beginner Level

High school algebra

Approx. 20 hours to complete
English

Offered by

Placeholder

University of Michigan

Syllabus - What you will learn from this course

Content RatingThumbs Up95%(9,637 ratings)Info
Week
1

Week 1

5 hours to complete

WEEK 1 - INTRODUCTION TO DATA

5 hours to complete
11 videos (Total 114 min), 7 readings, 2 quizzes
11 videos
Understanding and Visualizing Data Guidelines3m
What is Statistics?9m
Interview: Perspectives on Statistics in Real Life28m
(Cool Stuff in) Data8m
Where Do Data Come From?12m
Variable Types5m
Study Design6m
Introduction to Jupyter Notebooks9m
Data Types in Python12m
Introduction to Libraries and Data Management13m
7 readings
Course Syllabus5m
Meet the Course Team!10m
About Our Datasets2m
Help Us Learn More About You!10m
Resource: This is Statistics10m
Let's Play with Data!10m
Data management and manipulation10m
2 practice exercises
Practice Quiz - Variable Types30m
Assessment: Different Data Types10m
Week
2

Week 2

5 hours to complete

WEEK 2 - UNIVARIATE DATA

5 hours to complete
8 videos (Total 92 min), 2 readings, 3 quizzes
8 videos
Quantitative Data: Histograms12m
Quantitative Data: Numerical Summaries9m
Standard Score (Empirical Rule)7m
Quantitative Data: Boxplots6m
Demo: Interactive Histogram & Boxplot4m
Important Python Libraries21m
Tables, Histograms, Boxplots in Python25m
2 readings
What's Going on in This Graph?10m
Modern Infographics10m
3 practice exercises
Practice Quiz: Summarizing Graphs in Words15m
Assessment: Numerical Summaries10m
Python Assessment: Univariate Analysis10m
Week
3

Week 3

5 hours to complete

WEEK 3 - MULTIVARIATE DATA

5 hours to complete
7 videos (Total 56 min), 3 readings, 3 quizzes
7 videos
Looking at Associations with Multivariate Quantitative Data7m
Demo: Interactive Scatterplot2m
Introduction to Pizza Assignment2m
Multivariate Data Selection19m
Multivariate Distributions8m
Unit Testing5m
3 readings
Pitfall: Simpson's Paradox10m
Modern Ways to Visualize Data10m
Pizza Study Design Assignment Instructions10m
2 practice exercises
Practice Quiz: Multivariate Data10m
Python Assessment: Multivariate Analysis15m
Week
4

Week 4

6 hours to complete

WEEK 4 - POPULATIONS AND SAMPLES

6 hours to complete
15 videos (Total 223 min), 7 readings, 2 quizzes
15 videos
Probability Sampling: Part I10m
Probability Sampling: Part II15m
Non-Probability Sampling: Part I10m
Non-Probability Sampling: Part II9m
Sampling Variance & Sampling Distributions: Part I15m
Sampling Variance & Sampling Distributions: Part II7m
Demo: Interactive Sampling Distribution21m
Beyond Means: Sampling Distributions of Other Common Statistics10m
Making Population Inference Based on Only One Sample14m
Inference for Non-Probability Samples17m
Complex Samples23m
Sampling from a Biased Population15m
Randomness and Reproducibility14m
The Empirical Rule of Distribution18m
7 readings
Building on Visualization Concepts5m
Potential Pitfalls of Non-Probability Sampling: A Case Study10m
Resource: Seeing Theory10m
Article: Jerzy Neyman on Population Inference10m
Preventing Bad/Biased Samples10m
Optional: Deeper Dive Reference10m
Course Feedback10m
2 practice exercises
Assessment: Distinguishing Between Probability & Non-Probability Samples10m
Generating Random Data and Samples20m

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About the Statistics with Python Specialization

Statistics with Python

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