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Top Statistics Courses

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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.
Johns Hopkins University
Brian Caffo, PhD
0 reddit posts
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...
Duke University
Mine Çetinkaya-Rundel
4 reddit posts
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.
Johns Hopkins University
Steven Salzberg, PhD
2 reddit posts
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.
University of Amsterdam
Annemarie Zand Scholten
2 reddit posts
48 mentions
#5
Basic Statistics
Understanding statistics is essential to understand research in the social and behavioral sciences.
University of Amsterdam
Matthijs Rooduijn
1 reddit posts
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.
Wesleyan University
Lisa Dierker
0 reddit posts
57 mentions
#7
Data Science at Scale Specialization
Learn scalable data management, evaluate big data technologies, and design effective visualizations.
University of Washington
Bill Howe
1 reddit posts
119 mentions
#8
Mathematical Biostatistics Boot Camp 1
This class presents the fundamental probability and statistical concepts used in elementary data analysis.
Johns Hopkins University
Brian Caffo, PhD
0 reddit posts
17 mentions
#9
Statistical Inference
Statistical inference is the process of drawing conclusions about populations or scientific truths from data.
Johns Hopkins University
Brian Caffo, PhD
0 reddit posts
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.
Duke University
Mine Çetinkaya-Rundel
1 reddit posts
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.
University of Michigan
Brenda Gunderson
2 reddit posts
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.
University of California, Santa Cruz
Herbert Lee
0 reddit posts
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.
Rice University
Sharad Borle
1 reddit posts
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.
Johns Hopkins University
Steven Salzberg, PhD
0 reddit posts
7 mentions
#15
Statistics for Genomic Data Science
An introduction to the statistics behind the most popular genomic data science projects.
Johns Hopkins University
Jeff Leek, PhD
0 reddit posts
6 mentions
#16
Linear Regression and Modeling
This course introduces simple and multiple linear regression models.
Duke University
Mine Çetinkaya-Rundel
0 reddit posts
4 mentions
#17
Principles of fMRI 1
This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data.
Johns Hopkins University
Martin Lindquist, PhD, MSc
0 reddit posts
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.
University of Houston
Professor Wayne Winston
1 reddit posts
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.
University of California San Diego
Scott Klemmer
0 reddit posts
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.
Johns Hopkins University
Brian Caffo, PhD
0 reddit posts
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.
Rice University
Sharad Borle
0 reddit posts
1 mentions
#22
Mathematical Biostatistics Boot Camp 2
Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.
Johns Hopkins University
Brian Caffo, PhD
0 reddit posts
2 mentions
#23
Inferential Statistics
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
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.
IBM
Romeo Kienzler
6 reddit posts
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.
University of Cape Town
Juan H Klopper
0 reddit posts
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.
Johns Hopkins University
John McGready, PhD, MS
0 reddit posts
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.
Johns Hopkins University
Aruna Chandran, MD, MPH
1 reddit posts
2 mentions
#28
Data Analytics for Lean Six Sigma
Welcome to this course on Data Analytics for Lean Six Sigma.
University of Amsterdam
Inez Zwetsloot
0 reddit posts
2 mentions