#
Best of Coursera

Top **Statistics** Courses

These are the **top 28 Statistics**
courses and offerings found from analyzing all discussions on
Reddit that mention any
Coursera course.

#1

Data Science
Specialization

Statistics and Machine Learning

Build models, make inferences, and deliver interactive data products.

Statistics and Machine Learning

Build models, make inferences, and deliver interactive data products.

Johns Hopkins University

Brian Caffo, PhD

Brian Caffo, PhD

0 reddit posts

53 mentions

53 mentions

#2

Statistics with R
Specialization

In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural ph...

In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural ph...

Duke University

Mine Çetinkaya-Rundel

Mine Çetinkaya-Rundel

4 reddit posts

107 mentions

107 mentions

#3

Genomic Data Science
Specialization

With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic datasets.

With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic datasets.

Johns Hopkins University

Steven Salzberg, PhD

Steven Salzberg, PhD

2 reddit posts

78 mentions

78 mentions

#4

Methods and Statistics in Social Sciences
Specialization

Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions.

Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions.

University of Amsterdam

Annemarie Zand Scholten

Annemarie Zand Scholten

2 reddit posts

48 mentions

48 mentions

#5

Basic Statistics

Understanding statistics is essential to understand research in the social and behavioral sciences.

Understanding statistics is essential to understand research in the social and behavioral sciences.

University of Amsterdam

Matthijs Rooduijn

Matthijs Rooduijn

1 reddit posts

20 mentions

20 mentions

#6

Data Analysis and Interpretation
Specialization

Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions.

Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions.

Wesleyan University

Lisa Dierker

Lisa Dierker

0 reddit posts

57 mentions

57 mentions

#7

Data Science at Scale
Specialization

Learn scalable data management, evaluate big data technologies, and design effective visualizations.

Learn scalable data management, evaluate big data technologies, and design effective visualizations.

University of Washington

Bill Howe

Bill Howe

1 reddit posts

119 mentions

119 mentions

#8

Mathematical Biostatistics Boot Camp 1

This class presents the fundamental probability and statistical concepts used in elementary data analysis.

This class presents the fundamental probability and statistical concepts used in elementary data analysis.

Johns Hopkins University

Brian Caffo, PhD

Brian Caffo, PhD

0 reddit posts

17 mentions

17 mentions

#9

Statistical Inference

Statistical inference is the process of drawing conclusions about populations or scientific truths from data.

Statistical inference is the process of drawing conclusions about populations or scientific truths from data.

Johns Hopkins University

Brian Caffo, PhD

Brian Caffo, PhD

0 reddit posts

18 mentions

18 mentions

#10

Introduction to Probability and Data with R

This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule.

This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule.

Duke University

Mine Çetinkaya-Rundel

Mine Çetinkaya-Rundel

1 reddit posts

10 mentions

10 mentions

#11

Statistics with Python
Specialization

This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language.

This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language.

University of Michigan

Brenda Gunderson

Brenda Gunderson

2 reddit posts

10 mentions

10 mentions

#12

Bayesian Statistics

From Concept to Data Analysis

This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data.

From Concept to Data Analysis

This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data.

University of California, Santa Cruz

Herbert Lee

Herbert Lee

0 reddit posts

9 mentions

9 mentions

#13

Business Statistics and Analysis
Specialization

The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques.

The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques.

Rice University

Sharad Borle

Sharad Borle

1 reddit posts

7 mentions

7 mentions

#14

Introduction to Genomic Technologies

This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it.

This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it.

Johns Hopkins University

Steven Salzberg, PhD

Steven Salzberg, PhD

0 reddit posts

7 mentions

7 mentions

#15

Statistics for Genomic Data Science

An introduction to the statistics behind the most popular genomic data science projects.

An introduction to the statistics behind the most popular genomic data science projects.

Johns Hopkins University

Jeff Leek, PhD

Jeff Leek, PhD

0 reddit posts

6 mentions

6 mentions

#16

Linear Regression and Modeling

This course introduces simple and multiple linear regression models.

This course introduces simple and multiple linear regression models.

Duke University

Mine Çetinkaya-Rundel

Mine Çetinkaya-Rundel

0 reddit posts

4 mentions

4 mentions

#17

Principles of fMRI 1

This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data.

This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data.

Johns Hopkins University

Martin Lindquist, PhD, MSc

Martin Lindquist, PhD, MSc

0 reddit posts

4 mentions

4 mentions

#18

Math behind Moneyball

Learn how probability, math, and statistics can be used to help baseball, football and basketball teams improve, player and lineup selection as well as in game strategy.

Learn how probability, math, and statistics can be used to help baseball, football and basketball teams improve, player and lineup selection as well as in game strategy.

University of Houston

Professor Wayne Winston

Professor Wayne Winston

1 reddit posts

2 mentions

2 mentions

#19

Designing, Running, and Analyzing Experiments

You may never be sure whether you have an effective user experience until you have tested it with users.

You may never be sure whether you have an effective user experience until you have tested it with users.

University of California San Diego

Scott Klemmer

Scott Klemmer

0 reddit posts

3 mentions

3 mentions

#20

Advanced Linear Models for Data Science 1

Least Squares

Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares.

Least Squares

Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares.

Johns Hopkins University

Brian Caffo, PhD

Brian Caffo, PhD

0 reddit posts

2 mentions

2 mentions

#21

Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

The ability to understand and apply Business Statistics is becoming increasingly important in the industry.

The ability to understand and apply Business Statistics is becoming increasingly important in the industry.

Rice University

Sharad Borle

Sharad Borle

0 reddit posts

1 mentions

1 mentions

#22

Mathematical Biostatistics Boot Camp 2

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

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

Johns Hopkins University

Brian Caffo, PhD

Brian Caffo, PhD

0 reddit posts

2 mentions

2 mentions

#23

Inferential Statistics

Inferential statistics are concerned with making inferences based on relations found in the sample, to relations in the population.

Inferential statistics are concerned with making inferences based on relations found in the sample, to relations in the population.

University of Amsterdam

Annemarie Zand Scholten

Annemarie Zand Scholten

0 reddit posts

7 mentions

7 mentions

#24

Advanced Data Science with IBM
Specialization

As a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning.

As a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning.

IBM

Romeo Kienzler

Romeo Kienzler

6 reddit posts

27 mentions

27 mentions

#25

Understanding Clinical Research

Behind the Statistics

If you’ve ever skipped over`the results section of a medical paper because terms like “confidence interval” or “p-value” go over your head, then you’re in the right place.

Behind the Statistics

If you’ve ever skipped over`the results section of a medical paper because terms like “confidence interval” or “p-value” go over your head, then you’re in the right place.

University of Cape Town

Juan H Klopper

Juan H Klopper

0 reddit posts

2 mentions

2 mentions

#26

Biostatistics in Public Health
Specialization

This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer.

This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer.

Johns Hopkins University

John McGready, PhD, MS

John McGready, PhD, MS

0 reddit posts

1 mentions

1 mentions

#27

Epidemiology in Public Health Practice
Specialization

This specialization is intended for people working or aspiring to work in the field of public health at the local, regional, and national level.

This specialization is intended for people working or aspiring to work in the field of public health at the local, regional, and national level.

Johns Hopkins University

Aruna Chandran, MD, MPH

Aruna Chandran, MD, MPH

1 reddit posts

2 mentions

2 mentions

#28

Data Analytics for Lean Six Sigma

Welcome to this course on Data Analytics for Lean Six Sigma.

Welcome to this course on Data Analytics for Lean Six Sigma.

University of Amsterdam

Inez Zwetsloot

Inez Zwetsloot

0 reddit posts

2 mentions

2 mentions