About this Course

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Advanced Level
Approx. 8 hours to complete
English

Skills you will gain

StatisticsLinear RegressionR ProgrammingLinear Algebra
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.
Advanced Level
Approx. 8 hours to complete
English

Offered by

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Johns Hopkins University

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Background

2 hours to complete
7 videos (Total 28 min), 4 readings, 1 quiz
7 videos
Matrix derivatives5m
Coding example2m
Centering by matrix multiplication6m
Coding example2m
Variance via matrix multiplication6m
Coding example2m
4 readings
Welcome to the class10m
Course textbook10m
Grading10m
In this module10m
1 practice exercise
Background Quiz30m
Week
2

Week 2

1 hour to complete

One and two parameter regression

1 hour to complete
6 videos (Total 29 min), 2 readings, 1 quiz
6 videos
Centering first8m
Coding example1m
Connection with linear regression7m
Coding example1m
Fitted values and residuals4m
2 readings
Before you begin10m
Before you begin10m
1 practice exercise
One Parameter Regression Quiz30m
Week
3

Week 3

1 hour to complete

Linear regression

1 hour to complete
8 videos (Total 23 min), 2 readings, 1 quiz
8 videos
Coding example1m
Prediction2m
Coding example2m
Residuals2m
Coding example1m
Generalizations6m
Generalizations example2m
2 readings
Before you begin10m
Generalizations10m
1 practice exercise
Linear Regression Quiz30m
Week
4

Week 4

1 hour to complete

General least squares

1 hour to complete
6 videos (Total 39 min), 1 reading, 1 quiz
6 videos
Coding example3m
Second derivation of least squares4m
Projections9m
Third derivation of least squares12m
Coding example4m
1 reading
Before you begin10m
1 practice exercise
General Least Squares Quiz30m

Reviews

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About the Advanced Statistics for Data Science Specialization

Advanced Statistics for Data Science

Frequently Asked Questions

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