This course is part of the Advanced Statistics for Data Science Specialization

4.2
stars
122 ratings

Brian Caffo, PhD

19,153 already enrolled

Offered By

Advanced Statistics for Data Science SpecializationJohns Hopkins University

About this Course

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Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.

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Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

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Course 2 of 4 in the

Advanced Statistics for Data Science Specialization

Approx. 11 hours to complete

English

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Skills you will gain

Statistics
Statistical Hypothesis Testing
Biostatistics

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 2 of 4 in the

Advanced Statistics for Data Science Specialization

Approx. 11 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.53/5 (17 Ratings)

Brian Caffo, PhD

Professor, Biostatistics

Bloomberg School of Public Health

1,521,373 Learners

30 Courses

Offered by

Johns Hopkins University

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Syllabus - What you will learn from this course

Week1

Week 1

3 hours to complete

Hypothesis Testing

3 hours to complete

12 videos (Total 121 min), 1 reading, 2 quizzes

12 videos

Hypothesis Testing1mMore Hypothesis Testing12mGeneral Rules of Hypothesis Testing13mTwo-sided Tests9mConfidence Intervals & P Values13mPower2mCalculating Power8mT Tests & Monte Carlo14mTwo Sample Tests - Matched Data I6mTwo Sample Tests - Matched Data II8mTwo Sample Tests - Regression to the Mean12mTwo Sample Tests - Two Independent Groups17m

1 reading

Syllabus10m

2 practice exercises

Module 1 Homework (Not counted toward final grade)30mModule 1 Quiz30m

Week2

Week 2

2 hours to complete

Two Binomials

2 hours to complete

8 videos (Total 75 min)

8 videos

Two Sample Binomial Tests - Score Statistic14mTwo Sample Binomial Tests - Exact Tests9mTwo Sample Binomial Tests - Comparing 2 Binomial Proportions17mRelative Risks & Odds Ratios - Relative Measures4mRelative Risks & Odds Ratios - The Relative Risk8mRelative Risks & Odds Ratios - The Odds Ratio7mDelta Method4mDelta Method & Derivation9m

2 practice exercises

Module 2 Homework30mModule 2 Quiz30m

Week3

Week 3

3 hours to complete

Discrete Data Settings

3 hours to complete

7 videos (Total 98 min)

Week4

Week 4

4 hours to complete

Techniques

4 hours to complete

16 videos (Total 153 min)

16 videos

Simpson's Paradox7mSimpson's Paradox, more examples9mWeighting8mCMH test15mCase Control Sampling13mExact inference for The Odds Ratio8mMatched 2x2 Tables3mDependence and Marginal Homogeneity8mEstimation of the Marginal Difference in Proportions4mOdds and Ends for Matched 2x2 Tables14mthe sign test7mthe sign rank test10mthe rank sum test12mPoisson distribution9mPoisson likelihood9mPoisson P-value calculation7m

2 practice exercises

Module 4 Homework30mModule 4 Quiz30m

Reviews

4.2

25 reviews

5 stars
54.47%
4 stars
26.01%
3 stars
13.82%
2 stars
1.62%
1 star
4.06%

TOP REVIEWS FROM MATHEMATICAL BIOSTATISTICS BOOT CAMP 2

by VSMay 24, 2021

This is amazing course for reviewing categorical statistics.

by LCMar 12, 2022

The course is extremely structured. It is a fantastic "boot camp" for students who would like to learn statistics, opening the door of future data analysis.

by COAug 15, 2019

Thank you Dr Brian for the in-depth teaching from fundamental to application in real-world healthcare research

by LESep 30, 2018

Goode videos and teacher. The videos are old and it will be perfect to refresh them and make it more interactive.

View all reviews

About the Advanced Statistics for Data Science Specialization

Fundamental concepts in probability, statistics and linear models are primary building blocks for data science work. Learners aspiring to become biostatisticians and data scientists will benefit from the foundational knowledge being offered in this specialization. It will enable the learner to understand the behind-the-scenes mechanism of key modeling tools in data science, like least squares and linear regression.

This specialization starts with Mathematical Statistics bootcamps, specifically concepts and methods used in biostatistics applications. These range from probability, distribution, and likelihood concepts to hypothesis testing and case-control sampling. This specialization also linear models for data science, starting from understanding least squares from a linear algebraic and mathematical perspective, to statistical linear models, including multivariate regression using the R programming language. These courses will give learners a firm foundation in the linear algebraic treatment of regression modeling, which will greatly augment applied data scientists' general understanding of regression models. This specialization requires a fair amount of mathematical sophistication. Basic calculus and linear algebra are required to engage in the content.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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