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Best of Coursera

Top **Statistics** Courses

These are the **top 32** *Statistics* courses and offerings found from analyzing all discussions on Reddit that mention any Coursera course.

#1

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

3 reddit posts

142 mentions

142 mentions

#2

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

4 reddit posts

52 mentions

52 mentions

#3

Mathematical Biostatistics Boot Camp 1
Course

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

2 reddit posts

31 mentions

31 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

Matthijs Rooduijn

Matthijs Rooduijn

0 reddit posts

42 mentions

42 mentions

#5

Basic Statistics
Course

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

0 reddit posts

18 mentions

18 mentions

#6

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

Jeff Leek, PhD

Jeff Leek, PhD

0 reddit posts

50 mentions

50 mentions

#7

Introduction to Probability and Data with R
Course

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

0 reddit posts

10 mentions

10 mentions

#8

Mathematical Biostatistics Boot Camp 2
Course

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

1 reddit posts

5 mentions

5 mentions

#9

Introduction to Genomic Technologies
Course

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

4 mentions

4 mentions

#10

Bayesian Statistics
Course

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

#11

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

0 reddit posts

9 mentions

9 mentions

#12

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

Jen Rose

Jen Rose

0 reddit posts

15 mentions

15 mentions

#13

Linear Regression and Modeling
Course

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

#14

Math behind Moneyball
Course

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

3 mentions

3 mentions

#15

Principles of fMRI 1
Course

Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states.

Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states.

Johns Hopkins University

Martin Lindquist, PhD, MSc

Martin Lindquist, PhD, MSc

0 reddit posts

4 mentions

4 mentions

#16

Designing, Running, and Analyzing Experiments
Course

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

#17

Statistics for Genomic Data Science
Course

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

3 mentions

3 mentions

#18

Inferential Statistics
Course

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

2 mentions

2 mentions

#19

Understanding Clinical Research
Course

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

#20

Statistical Inference
Course

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

16 mentions

16 mentions

#21

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

Keri Althoff, PhD, MPH

Keri Althoff, PhD, MPH

0 reddit posts

3 mentions

3 mentions

#22

Data Analytics for Lean Six Sigma
Course

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

1 mentions

1 mentions

#23

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

0 reddit posts

5 mentions

5 mentions

#24

Materials Data Sciences and Informatics
Course

This course aims to provide a succinct overview of the emerging discipline of Materials Informatics at the intersection of materials science, computational science, and information science.

This course aims to provide a succinct overview of the emerging discipline of Materials Informatics at the intersection of materials science, computational science, and information science.

Georgia Institute of Technology

Dr. Surya Kalidindi

Dr. Surya Kalidindi

0 reddit posts

1 mentions

1 mentions

#25

Six Sigma Yellow Belt
Specialization

This specialization is for you if you are looking to learn more about Six Sigma or refresh your knowledge of the basic components of Six Sigma and Lean.

This specialization is for you if you are looking to learn more about Six Sigma or refresh your knowledge of the basic components of Six Sigma and Lean.

University System of Georgia

Bill Bailey, PhD

Bill Bailey, PhD

0 reddit posts

3 mentions

3 mentions

#26

Understanding and Visualizing Data with Python
Course

In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data.

In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data.

University of Michigan

Brenda Gunderson

Brenda Gunderson

0 reddit posts

1 mentions

1 mentions

#27

Advanced Statistics for Data Science
Specialization

Fundamental concepts in probability, statistics and linear models are primary building blocks for data science work.

Fundamental concepts in probability, statistics and linear models are primary building blocks for data science work.

Johns Hopkins University

Brian Caffo, PhD

Brian Caffo, PhD

3 reddit posts

37 mentions

37 mentions

#28

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

Mihaela Pertea, PhD

Mihaela Pertea, PhD

1 reddit posts

69 mentions

69 mentions

#29

Summary Statistics in Public Health
Course

Biostatistics is the application of statistical reasoning to the life sciences, and it is the key to unlocking the data gathered by researchers and the evidence presented in the scientific literature.

Biostatistics is the application of statistical reasoning to the life sciences, and it is the key to unlocking the data gathered by researchers and the evidence presented in the scientific literature.

Johns Hopkins University

John McGready, PhD, MS

John McGready, PhD, MS

0 reddit posts

1 mentions

1 mentions

#30

Neuroscience and Neuroimaging
Specialization

This specialization combines the strength of 4 different neuroscience courses into a cohesive learning experience.

This specialization combines the strength of 4 different neuroscience courses into a cohesive learning experience.

Johns Hopkins University

Dr. Elizabeth Sweeney

Dr. Elizabeth Sweeney

2 reddit posts

14 mentions

14 mentions

#31

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

0 reddit posts

10 mentions

10 mentions

#32

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

7 mentions

7 mentions