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Top Data Science Courses

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Data Analysis
143 courses
Machine Learning
89 courses

These are the top 100 Data Science courses found from analyzing all discussions on Reddit that mention any Coursera course.

#1
Machine Learning Course
Machine learning is the science of getting computers to act without being explicitly programmed.
Stanford University
Andrew Ng
9 reddit posts
1168 mentions
#2
Data Science Specialization
Ask the right questions, manipulate data sets, and create visualizations to communicate results.
Johns Hopkins University
Roger D. Peng, PhD
11 reddit posts
633 mentions
#3
Deep Learning Specialization
If you want to break into AI, this Specialization will help you do so.
DeepLearning.AI
Andrew Ng
3 reddit posts
235 mentions
#4
Data Science Specialization
Foundations using R
Ask the right questions, manipulate data sets, and create visualizations to communicate results.
Johns Hopkins University
Roger D. Peng, PhD
5 reddit posts
185 mentions
#5
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
#6
R Programming Course
In this course you will learn how to program in R and how to use R for effective data analysis.
Johns Hopkins University
Roger D. Peng, PhD
2 reddit posts
125 mentions
#7
Data Mining Specialization
The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text.
University of Illinois at Urbana-Champaign
John C. Hart
4 reddit posts
41 mentions
#8
Machine Learning Specialization
This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning.
University of Washington
Emily Fox
1 reddit posts
88 mentions
#9
Advanced Machine Learning Specialization
This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods.
National Research University Higher School of Economics
Dmitry Ulyanov
3 reddit posts
54 mentions
#10
Probabilistic Graphical Models Specialization
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other.
Stanford University
Daphne Koller
4 reddit posts
72 mentions
#11
Mathematics for Machine Learning Specialization
For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to h...
Imperial College London
David Dye
1 reddit posts
111 mentions
#12
Probabilistic Graphical Models 1 Course
Representation
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other.
Stanford University
Daphne Koller
3 reddit posts
59 mentions
#13
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
#14
Improving your statistical inferences Course
This course aims to help you to draw better statistical inferences from empirical research.
Eindhoven University of Technology
Daniel Lakens
1 reddit posts
43 mentions
#15
Geographic Information Systems (GIS) Specialization
Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health.
University of California, Davis
Nick Santos
2 reddit posts
62 mentions
#16
Maps and the Geospatial Revolution Course
Learn how advances in geospatial technology and analytical methods have changed how we do everything, and discover how to make maps and analyze geographic patterns using the latest tools.
The Pennsylvania State University
Dr. Anthony C. Robinson
3 reddit posts
28 mentions
#17
Neural Networks and Deep Learning Course
If you want to break into cutting-edge AI, this course will help you do so.
DeepLearning.AI
Andrew Ng
0 reddit posts
28 mentions
#18
Computational Neuroscience Course
This course provides an introduction to basic computational methods for understanding what nervous systems do and for determining how they function.
University of Washington
Rajesh P. N. Rao
7 reddit posts
59 mentions
#19
The Data Scientist’s Toolbox Course
In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox.
Johns Hopkins University
Jeff Leek, PhD
1 reddit posts
28 mentions
#20
Mathematics for Machine Learning Course
Linear Algebra
In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices.
Imperial College London
David Dye
0 reddit posts
20 mentions
#21
Introduction to Data Science in Python Course
This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library.
University of Michigan
Christopher Brooks
0 reddit posts
31 mentions
#22
Data Warehousing for Business Intelligence Specialization
Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.
University of Colorado System
Michael Mannino
0 reddit posts
17 mentions
#23
Practical Machine Learning Course
One of the most common tasks performed by data scientists and data analysts are prediction and machine learning.
Johns Hopkins University
Jeff Leek, PhD
0 reddit posts
20 mentions
#24
IBM Data Science Professional Certificate
Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater.
IBM
Joseph Santarcangelo
2 reddit posts
80 mentions
#25
Convolutional Neural Networks Course
This course will teach you how to build convolutional neural networks and apply it to image data.
DeepLearning.AI
Andrew Ng
1 reddit posts
14 mentions
#26
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
#27
Big Data Specialization
Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted.
University of California San Diego
Ilkay Altintas
3 reddit posts
23 mentions
#28
How to Win a Data Science Competition Course
Learn from Top Kagglers
If you want to break into competitive data science, then this course is for you.
National Research University Higher School of Economics
Dmitry Ulyanov
1 reddit posts
11 mentions
#29
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
#30
Executive Data Science Specialization
Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects.
Johns Hopkins University
Jeff Leek, PhD
2 reddit posts
10 mentions
#31
Sequence Models Course
This course will teach you how to build models for natural language, audio, and other sequence data.
DeepLearning.AI
Andrew Ng
2 reddit posts
8 mentions
#32
Getting and Cleaning Data Course
Before you can work with data you have to get some.
Johns Hopkins University
Jeff Leek, PhD
2 reddit posts
8 mentions
#33
Exploratory Data Analysis Course
This course covers the essential exploratory techniques for summarizing data.
Johns Hopkins University
Roger D. Peng, PhD
0 reddit posts
9 mentions
#34
SQL for Data Science Course
As data collection has increased exponentially, so has the need for people skilled at using and interacting with data; to be able to think critically, and provide insights to make better decisions and optimize their businesses.
University of California, Davis
Sadie St. Lawrence
0 reddit posts
12 mentions
#35
Regression Models Course
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
8 mentions
#36
Reproducible Research Course
This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner.
Johns Hopkins University
Roger D. Peng, PhD
0 reddit posts
9 mentions
#37
Data Visualization with Tableau Specialization
In 2020 the world will generate 50 times the amount of data as in 2011.
University of California, Davis
Govind Acharya
0 reddit posts
13 mentions
#38
Process Mining Course
Data science in Action
Process mining is the missing link between model-based process analysis and data-oriented analysis techniques.
Eindhoven University of Technology
Wil van der Aalst
1 reddit posts
11 mentions
#39
Data Visualization Course
Learn the general concepts of data mining along with basic methodologies and applications.
University of Illinois at Urbana-Champaign
John C. Hart
0 reddit posts
8 mentions
#40
Applied Machine Learning in Python Course
This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods.
University of Michigan
Kevyn Collins-Thompson
0 reddit posts
12 mentions
#41
Python for Genomic Data Science Course
This class provides an introduction to the Python programming language and the iPython notebook.
Johns Hopkins University
Mihaela Pertea, PhD
0 reddit posts
8 mentions
#42
Text Mining and Analytics Course
This course will cover the major techniques for mining and analyzing text data to discover interesting patterns, extract useful knowledge, and support decision making, with an emphasis on statistical approaches that can be generally applied to arbitrary text data in any natural language with no or m...
University of Illinois at Urbana-Champaign
ChengXiang Zhai
2 reddit posts
5 mentions
#43
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
#44
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
#45
Command Line Tools for Genomic Data Science Course
Introduces to the commands that you need to manage and analyze directories, files, and large sets of genomic data.
Johns Hopkins University
Liliana Florea, PhD
0 reddit posts
4 mentions
#46
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
#47
Pattern Discovery in Data Mining Course
Learn the general concepts of data mining along with basic methodologies and applications.
University of Illinois at Urbana-Champaign
Jiawei Han
0 reddit posts
5 mentions
#48
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
#49
Data Engineering, Big Data, and Machine Learning on GCP Specialization
This five-week, accelerated online specialization provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform.
Google Cloud
Google Cloud Training
2 reddit posts
14 mentions
#50
Introduction to Neurohacking In R Course
Neurohacking describes how to use the R programming language (https://cran.
Johns Hopkins University
Dr. Elizabeth Sweeney
2 reddit posts
6 mentions
#51
The Unix Workbench Course
Unix forms a foundation that is often very helpful for accomplishing other goals you might have for you and your computer, whether that goal is running a business, writing a book, curing disease, or creating the next great app.
Johns Hopkins University
Sean Kross
0 reddit posts
9 mentions
#52
Algorithms for DNA Sequencing Course
We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data.
Johns Hopkins University
Ben Langmead, PhD
0 reddit posts
5 mentions
#53
Machine Learning Foundations Course
A Case Study Approach
Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems?...
University of Washington
Emily Fox
0 reddit posts
7 mentions
#54
Econometrics Course
Methods and Applications
Welcome.
Erasmus University Rotterdam
Philip Hans Franses
0 reddit posts
9 mentions
#55
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
#56
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
#57
Managing Big Data with MySQL Course
This course is an introduction to how to use relational databases in business analysis.
Duke University
Daniel Egger
0 reddit posts
8 mentions
#58
Bayesian Statistics Course
This course describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates.
Duke University
Mine Çetinkaya-Rundel
1 reddit posts
6 mentions
#59
Text Retrieval and Search Engines Course
Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets.
University of Illinois at Urbana-Champaign
ChengXiang Zhai
0 reddit posts
4 mentions
#60
Practical Time Series Analysis Course
Welcome to Practical Time Series Analysis.
The State University of New York
Tural Sadigov
0 reddit posts
8 mentions
#61
Survey Data Collection and Analytics Specialization
This specialization covers the fundamentals of surveys as used in market research, evaluation research, social science and political research, official government statistics, and many other topic domains.
University of Maryland, College Park
Frederick Conrad, Ph.D.
0 reddit posts
13 mentions
#62
A Crash Course in Causality Course
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
8 mentions
#63
Julia Scientific Programming Course
This four-module course introduces users to Julia as a first language.
University of Cape Town
Juan H Klopper
2 reddit posts
4 mentions
#64
Bayesian Methods for Machine Learning Course
People apply Bayesian methods in many areas: from game development to drug discovery.
National Research University Higher School of Economics
Daniil Polykovskiy
0 reddit posts
8 mentions
#65
Mastering Software Development in R Specialization
R is a programming language and a free software environment for statistical computing and graphics, widely used by data analysts, data scientists and statisticians.
Johns Hopkins University
Roger D. Peng, PhD
0 reddit posts
9 mentions
#66
Inferential Statistics Course
This course covers commonly used statistical inference methods for numerical and categorical data.
Duke University
Mine Çetinkaya-Rundel
0 reddit posts
7 mentions
#67
Введение в машинное обучение Course
Не так давно получил распространение термин «большие данные», обозначивший новую прикладную область — поиск способов автоматического быстрого анализа огромных объёмов разнородной информации.
National Research University Higher School of Economics
Константин Вячеславович Воронцов
0 reddit posts
2 mentions
#68
Experimentation for Improvement Course
We are always using experiments to improve our lives, our community, and our work.
McMaster University
Kevin Dunn
0 reddit posts
3 mentions
#69
Practical Reinforcement Learning Course
Welcome to the Reinforcement Learning course.
National Research University Higher School of Economics
Pavel Shvechikov
1 reddit posts
6 mentions
#70
Machine Learning Course
Regression
Case Study - Predicting Housing Prices In our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms,.
University of Washington
Emily Fox
0 reddit posts
4 mentions
#71
Data Visualization and Communication with Tableau Course
One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member.
Duke University
Daniel Egger
0 reddit posts
5 mentions
#72
Introduction to Big Data Course
Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be.
University of California San Diego
Ilkay Altintas
0 reddit posts
5 mentions
#73
A Crash Course in Data Science Course
By now you have definitely heard about data science and big data.
Johns Hopkins University
Jeff Leek, PhD
1 reddit posts
4 mentions
#74
Introduction to Data Analysis Using Excel Course
The use of Excel is widespread in the industry.
Rice University
Sharad Borle
0 reddit posts
6 mentions
#75
Bayesian Statistics Course
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
#76
Applied Text Mining in Python Course
This course will introduce the learner to text mining and text manipulation basics.
University of Michigan
V. G. Vinod Vydiswaran
0 reddit posts
5 mentions
#77
Natural Language Processing Course
This course covers a wide range of tasks in Natural Language Processing from basic to advanced: sentiment analysis, summarization, dialogue state tracking, to name a few.
National Research University Higher School of Economics
Anna Potapenko
0 reddit posts
7 mentions
#78
Data Manipulation at Scale Course
Systems and Algorithms
Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we are drowning in it.
University of Washington
Bill Howe
0 reddit posts
4 mentions
#79
Linear Regression and Modeling Course
This course introduces simple and multiple linear regression models.
Duke University
Mine Çetinkaya-Rundel
0 reddit posts
4 mentions
#80
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
#81
Applied Social Network Analysis in Python Course
This course will introduce the learner to network analysis through tutorials using the NetworkX library.
University of Michigan
Daniel Romero
0 reddit posts
4 mentions
#82
Hadoop Platform and Application Framework Course
This course is for novice programmers or business people who would like to understand the core tools used to wrangle and analyze big data.
University of California San Diego
Natasha Balac, Ph.D.
0 reddit posts
3 mentions
#83
Cluster Analysis in Data Mining Course
Discover the basic concepts of cluster analysis, and then study a set of typical clustering methodologies, algorithms, and applications.
University of Illinois at Urbana-Champaign
Jiawei Han
0 reddit posts
2 mentions
#84
Interprofessional Healthcare Informatics Course
Interprofessional Healthcare Informatics is a graduate-level, hands-on interactive exploration of real informatics tools and techniques offered by the University of Minnesota and the University of Minnesota's National Center for Interprofessional Practice and Education.
University of Minnesota
Karen Monsen, Ph.D., RN, FAAN
0 reddit posts
2 mentions
#85
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
#86
Data Analysis with Python Course
Learn how to analyze data using Python.
IBM
Joseph Santarcangelo
0 reddit posts
7 mentions
#87
Genomic Data Science with Galaxy Course
Learn to use the tools that are available from the Galaxy Project.
Johns Hopkins University
James Taylor, PhD
0 reddit posts
3 mentions
#88
Machine Learning Course
Classification
Case Studies: Analyzing Sentiment & Loan Default Prediction In our case study on analyzing sentiment, you will create models that predict a class (positive/negative sentiment) from input features (text of the reviews, user profile information,.
University of Washington
Emily Fox
0 reddit posts
3 mentions
#89
Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话) Course
在社会学、心理学、教育学、经济学、管理学、市场学等研究领域的数据分析中,结构方程建模是当前最前沿的统计方法中应用最广、研究最多的一个。它包含了方差分析、回归分析、路径分析和因子分析,弥补了传统回归分析和因子分析的不足,可以分析多因多果的联系、潜变量的关系,还可以处理多水平数据和纵向数据,是非常重要的多元数据分析工具。本课程系统地介绍结构方程模型和LISREL软件的应用,内容包括:结构方程分析(包括验证性因子分析)的基本概念、统计原理、在社会科学研究中的应用、常用模型及其LISREL程序、结果的解释和模型评价。学员应具备基本的统计知识(如:标准差、t-检验、相关系数),理解回归分析和因子分析的概...
The Chinese University of Hong Kong
Prof. Kit Tai Hau 侯傑泰
0 reddit posts
1 mentions
#90
Structuring Machine Learning Projects Course
You will learn how to build a successful machine learning project.
DeepLearning.AI
Andrew Ng
0 reddit posts
5 mentions
#91
Improving Deep Neural Networks Course
Hyperparameter tuning, Regularization and Optimization
This course will teach you the "magic" of getting deep learning to work well.
DeepLearning.AI
Andrew Ng
0 reddit posts
4 mentions
#92
Introduction to Deep Learning Course
The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding.
National Research University Higher School of Economics
Evgeny Sokolov
0 reddit posts
4 mentions
#93
Digital Marketing Analytics in Theory Course
Successfully marketing brands today requires a well-balanced blend of art and science.
University of Illinois at Urbana-Champaign
Kevin Hartman
0 reddit posts
2 mentions
#94
Data Mining Project Course
Note: You should complete all the other courses in this Specialization before beginning this course.
University of Illinois at Urbana-Champaign
Jiawei Han
0 reddit posts
1 mentions
#95
Data-driven Decision Making Course
Welcome to Data-driven Decision Making.
PwC
Alex Mannella
0 reddit posts
3 mentions
#96
Business Intelligence Concepts, Tools, and Applications Course
This is the fourth course in the Data Warehouse for Business Intelligence specialization.
University of Colorado System
Jahangir Karimi
0 reddit posts
1 mentions
#97
Business Metrics for Data-Driven Companies Course
In this course, you will learn best practices for how to use data analytics to make any company more competitive and more profitable.
Duke University
Daniel Egger
0 reddit posts
2 mentions
#98
Developing Data Products Course
A data product is the production output from a statistical analysis.
Johns Hopkins University
Brian Caffo, PhD
0 reddit posts
1 mentions
#99
Data Visualization with Advanced Excel Course
In this course, you will get hands-on instruction of advanced Excel 2013 functions.
PwC
Alex Mannella
0 reddit posts
3 mentions
#100
Problem Solving with Excel Course
This course explores Excel as a tool for solving business problems.
PwC
Alex Mannella
0 reddit posts
4 mentions