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Top Statistics Courses

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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...
Duke University
Mine Çetinkaya-Rundel
3 reddit posts
142 mentions
#2
Data Science at Scale Specialization
Learn scalable data management, evaluate big data technologies, and design effective visualizations.
University of Washington
Bill Howe
4 reddit posts
52 mentions
#3
Mathematical Biostatistics Boot Camp 1 Course
This class presents the fundamental probability and statistical concepts used in elementary data analysis.
Johns Hopkins University
Brian Caffo, PhD
2 reddit posts
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.
University of Amsterdam
Matthijs Rooduijn
0 reddit posts
42 mentions
#5
Basic Statistics Course
Understanding statistics is essential to understand research in the social and behavioral sciences.
University of Amsterdam
Matthijs Rooduijn
0 reddit posts
18 mentions
#6
Data Science Specialization
Statistics and Machine Learning
Build models, make inferences, and deliver interactive data products.
Johns Hopkins University
Jeff Leek, PhD
0 reddit posts
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.
Duke University
Mine Çetinkaya-Rundel
0 reddit posts
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.
Johns Hopkins University
Brian Caffo, PhD
1 reddit posts
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.
Johns Hopkins University
Steven Salzberg, PhD
0 reddit posts
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.
University of California, Santa Cruz
Herbert Lee
0 reddit posts
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.
Rice University
Sharad Borle
0 reddit posts
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.
Wesleyan University
Jen Rose
0 reddit posts
15 mentions
#13
Linear Regression and Modeling Course
This course introduces simple and multiple linear regression models.
Duke University
Mine Çetinkaya-Rundel
0 reddit posts
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.
University of Houston
Professor Wayne Winston
1 reddit posts
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.
Johns Hopkins University
Martin Lindquist, PhD, MSc
0 reddit posts
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.
University of California San Diego
Scott Klemmer
0 reddit posts
3 mentions
#17
Statistics for Genomic Data Science Course
An introduction to the statistics behind the most popular genomic data science projects.
Johns Hopkins University
Jeff Leek, PhD
0 reddit posts
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.
University of Amsterdam
Annemarie Zand Scholten
0 reddit posts
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.
University of Cape Town
Juan H Klopper
0 reddit posts
2 mentions
#20
Statistical Inference Course
Statistical inference is the process of drawing conclusions about populations or scientific truths from data.
Johns Hopkins University
Brian Caffo, PhD
0 reddit posts
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.
Johns Hopkins University
Keri Althoff, PhD, MPH
0 reddit posts
3 mentions
#22
Data Analytics for Lean Six Sigma Course
Welcome to this course on Data Analytics for Lean Six Sigma.
University of Amsterdam
Inez Zwetsloot
0 reddit posts
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.
IBM
Romeo Kienzler
0 reddit posts
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.
Georgia Institute of Technology
Dr. Surya Kalidindi
0 reddit posts
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.
University System of Georgia
Bill Bailey, PhD
0 reddit posts
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.
University of Michigan
Brenda Gunderson
0 reddit posts
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.
Johns Hopkins University
Brian Caffo, PhD
3 reddit posts
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.
Johns Hopkins University
Mihaela Pertea, PhD
1 reddit posts
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.
Johns Hopkins University
John McGready, PhD, MS
0 reddit posts
1 mentions
#30
Neuroscience and Neuroimaging Specialization
This specialization combines the strength of 4 different neuroscience courses into a cohesive learning experience.
Johns Hopkins University
Dr. Elizabeth Sweeney
2 reddit posts
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.
University of Michigan
Brenda Gunderson
0 reddit posts
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.
Johns Hopkins University
John McGready, PhD, MS
0 reddit posts
7 mentions