Best of Coursera
Top Probability And Statistics Courses
in Data Science

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These are the top 24 Probability And 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
4 reddit posts
107 mentions
#2
Improving your statistical inferences
This course aims to help you to draw better statistical inferences from empirical research.
Eindhoven University of Technology
Daniel Lakens
2 reddit posts
34 mentions
#3
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
#4
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
#5
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
#6
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
#7
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
#8
Regression Models
Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions.
Johns Hopkins University
Brian Caffo, PhD
0 reddit posts
10 mentions
#9
Practical Time Series Analysis
Welcome to Practical Time Series Analysis! Many of us are "accidental" data analysts.
The State University of New York
Tural Sadigov
0 reddit posts
8 mentions
#10
Econometrics
Methods and Applications
Welcome! Do you wish to know how to analyze and solve business and economic questions with data analysis tools? Then Econometrics by Erasmus University Rotterdam is the right course for you, as you learn how to translate data into models to make forecasts and to support decision making.
Erasmus University Rotterdam
Philip Hans Franses
0 reddit posts
5 mentions
#11
Inferential Statistics
This course covers commonly used statistical inference methods for numerical and categorical data.
Duke University
Mine Çetinkaya-Rundel
0 reddit posts
5 mentions
#12
Regression Modeling in Practice
This course focuses on one of the most important tools in your data analysis arsenal: regression analysis.
Wesleyan University
Jen Rose
0 reddit posts
10 mentions
#13
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
#14
Bayesian Statistics
Techniques and Models
This is the second of a two-course sequence introducing the fundamentals of Bayesian statistics.
University of California, Santa Cruz
Matthew Heiner
0 reddit posts
6 mentions
#15
A Crash Course in Causality
Inferring Causal Effects from Observational Data
We have all heard the phrase “correlation does not equal causation.
University of Pennsylvania
Jason A. Roy, Ph.D.
0 reddit posts
6 mentions
#16
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
#17
Advanced Linear Models for Data Science 2
Statistical Linear Models
Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models.
Johns Hopkins University
Brian Caffo, PhD
0 reddit posts
1 mentions
#18
An Intuitive Introduction to Probability
This course will provide you with a basic, intuitive and practical introduction into Probability Theory.
University of Zurich
Karl Schmedders
0 reddit posts
2 mentions
#19
Experimentation for Improvement
We are always using experiments to improve our lives, our community, and our work.
McMaster University
Kevin Dunn
0 reddit posts
1 mentions
#20
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
#21
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
#22
Probability and Statistics
To p or not to p?
We live in an uncertain and complex world, yet we continually have to make decisions in the present with uncertain future outcomes.
University of London
Dr James Abdey
0 reddit posts
4 mentions
#23
Fitting Statistical Models to Data with Python
In this course, we will expand our exploration of statistical inference techniques by focusing on the science and art of fitting statistical models to data.
University of Michigan
Brenda Gunderson
0 reddit posts
1 mentions
#24
Improving Your Statistical Questions
This course aims to help you to ask better statistical questions when performing empirical research.
Eindhoven University of Technology
Daniel Lakens
0 reddit posts
5 mentions