#
Best of Coursera

Top **Data Science** 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.

Machine learning is the science of getting computers to act without being explicitly programmed.

Stanford University

Andrew Ng

Andrew Ng

9 reddit posts

1168 mentions

1168 mentions

#2

Data Science
Specialization

Ask the right questions, manipulate data sets, and create visualizations to communicate results.

Ask the right questions, manipulate data sets, and create visualizations to communicate results.

Johns Hopkins University

Roger D. Peng, PhD

Roger D. Peng, PhD

11 reddit posts

633 mentions

633 mentions

#3

Deep Learning
Specialization

If you want to break into AI, this Specialization will help you do so.

If you want to break into AI, this Specialization will help you do so.

DeepLearning.AI

Andrew Ng

Andrew Ng

3 reddit posts

235 mentions

235 mentions

#4

Data Science
Specialization

Foundations using R

Ask the right questions, manipulate data sets, and create visualizations to communicate results.

Foundations using R

Ask the right questions, manipulate data sets, and create visualizations to communicate results.

Johns Hopkins University

Roger D. Peng, PhD

Roger D. Peng, PhD

5 reddit posts

185 mentions

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...

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

#6

R Programming
Course

In this course you will learn how to program in R and how to use R for effective data analysis.

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

Roger D. Peng, PhD

2 reddit posts

125 mentions

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.

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

John C. Hart

4 reddit posts

41 mentions

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.

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

Emily Fox

1 reddit posts

88 mentions

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.

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

Dmitry Ulyanov

3 reddit posts

54 mentions

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.

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

Daphne Koller

4 reddit posts

72 mentions

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...

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

David Dye

1 reddit posts

111 mentions

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.

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

Daphne Koller

3 reddit posts

59 mentions

59 mentions

#13

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

#14

Improving your statistical inferences
Course

This course aims to help you to draw better statistical inferences from empirical research.

This course aims to help you to draw better statistical inferences from empirical research.

Eindhoven University of Technology

Daniel Lakens

Daniel Lakens

1 reddit posts

43 mentions

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.

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

Nick Santos

2 reddit posts

62 mentions

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.

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

Dr. Anthony C. Robinson

3 reddit posts

28 mentions

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.

If you want to break into cutting-edge AI, this course will help you do so.

DeepLearning.AI

Andrew Ng

Andrew Ng

0 reddit posts

28 mentions

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.

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

Rajesh P. N. Rao

7 reddit posts

59 mentions

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.

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

Jeff Leek, PhD

1 reddit posts

28 mentions

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.

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

David Dye

0 reddit posts

20 mentions

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.

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

Christopher Brooks

0 reddit posts

31 mentions

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.

Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.

University of Colorado System

Michael Mannino

Michael Mannino

0 reddit posts

17 mentions

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.

One of the most common tasks performed by data scientists and data analysts are prediction and machine learning.

Johns Hopkins University

Jeff Leek, PhD

Jeff Leek, PhD

0 reddit posts

20 mentions

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.

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

Joseph Santarcangelo

2 reddit posts

80 mentions

80 mentions

#25

Convolutional Neural Networks
Course

This course will teach you how to build convolutional neural networks and apply it to image data.

This course will teach you how to build convolutional neural networks and apply it to image data.

DeepLearning.AI

Andrew Ng

Andrew Ng

1 reddit posts

14 mentions

14 mentions

#26

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

#27

Big Data
Specialization

Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted.

Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted.

University of California San Diego

Ilkay Altintas

Ilkay Altintas

3 reddit posts

23 mentions

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.

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

Dmitry Ulyanov

1 reddit posts

11 mentions

11 mentions

#29

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

#30

Executive Data Science
Specialization

Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects.

Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects.

Johns Hopkins University

Jeff Leek, PhD

Jeff Leek, PhD

2 reddit posts

10 mentions

10 mentions

#31

Sequence Models
Course

This course will teach you how to build models for natural language, audio, and other sequence data.

This course will teach you how to build models for natural language, audio, and other sequence data.

DeepLearning.AI

Andrew Ng

Andrew Ng

2 reddit posts

8 mentions

8 mentions

#32

Getting and Cleaning Data
Course

Before you can work with data you have to get some.

Before you can work with data you have to get some.

Johns Hopkins University

Jeff Leek, PhD

Jeff Leek, PhD

2 reddit posts

8 mentions

8 mentions

#33

Exploratory Data Analysis
Course

This course covers the essential exploratory techniques for summarizing data.

This course covers the essential exploratory techniques for summarizing data.

Johns Hopkins University

Roger D. Peng, PhD

Roger D. Peng, PhD

0 reddit posts

9 mentions

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.

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

Sadie St. Lawrence

0 reddit posts

12 mentions

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.

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

Brian Caffo, PhD

0 reddit posts

8 mentions

8 mentions

#36

Reproducible Research
Course

This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner.

This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner.

Johns Hopkins University

Roger D. Peng, PhD

Roger D. Peng, PhD

0 reddit posts

9 mentions

9 mentions

#37

Data Visualization with Tableau
Specialization

In 2020 the world will generate 50 times the amount of data as in 2011.

In 2020 the world will generate 50 times the amount of data as in 2011.

University of California, Davis

Govind Acharya

Govind Acharya

0 reddit posts

13 mentions

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.

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

Wil van der Aalst

1 reddit posts

11 mentions

11 mentions

#39

Data Visualization
Course

Learn the general concepts of data mining along with basic methodologies and applications.

Learn the general concepts of data mining along with basic methodologies and applications.

University of Illinois at Urbana-Champaign

John C. Hart

John C. Hart

0 reddit posts

8 mentions

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.

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

Kevyn Collins-Thompson

0 reddit posts

12 mentions

12 mentions

#41

Python for Genomic Data Science
Course

This class provides an introduction to the Python programming language and the iPython notebook.

This class provides an introduction to the Python programming language and the iPython notebook.

Johns Hopkins University

Mihaela Pertea, PhD

Mihaela Pertea, PhD

0 reddit posts

8 mentions

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...

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

ChengXiang Zhai

2 reddit posts

5 mentions

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.

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

#44

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

#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.

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

Liliana Florea, PhD

0 reddit posts

4 mentions

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.

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

#47

Pattern Discovery in Data Mining
Course

Learn the general concepts of data mining along with basic methodologies and applications.

Learn the general concepts of data mining along with basic methodologies and applications.

University of Illinois at Urbana-Champaign

Jiawei Han

Jiawei Han

0 reddit posts

5 mentions

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.

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

#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.

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

Google Cloud Training

2 reddit posts

14 mentions

14 mentions

#50

Introduction to Neurohacking In R
Course

Neurohacking describes how to use the R programming language (https://cran.

Neurohacking describes how to use the R programming language (https://cran.

Johns Hopkins University

Dr. Elizabeth Sweeney

Dr. Elizabeth Sweeney

2 reddit posts

6 mentions

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.

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

Sean Kross

0 reddit posts

9 mentions

9 mentions

#52

Algorithms for DNA Sequencing
Course

We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data.

We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data.

Johns Hopkins University

Ben Langmead, PhD

Ben Langmead, PhD

0 reddit posts

5 mentions

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?...

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

Emily Fox

0 reddit posts

7 mentions

7 mentions

#54

Econometrics
Course

Methods and Applications

Welcome.

Methods and Applications

Welcome.

Erasmus University Rotterdam

Philip Hans Franses

Philip Hans Franses

0 reddit posts

9 mentions

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.

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

#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.

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

#57

Managing Big Data with MySQL
Course

This course is an introduction to how to use relational databases in business analysis.

This course is an introduction to how to use relational databases in business analysis.

Duke University

Daniel Egger

Daniel Egger

0 reddit posts

8 mentions

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.

This course describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates.

Duke University

Mine Çetinkaya-Rundel

Mine Çetinkaya-Rundel

1 reddit posts

6 mentions

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.

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

ChengXiang Zhai

0 reddit posts

4 mentions

4 mentions

#60

Practical Time Series Analysis
Course

Welcome to Practical Time Series Analysis.

Welcome to Practical Time Series Analysis.

The State University of New York

Tural Sadigov

Tural Sadigov

0 reddit posts

8 mentions

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.

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.

Frederick Conrad, Ph.D.

0 reddit posts

13 mentions

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.

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.

Jason A. Roy, Ph.D.

0 reddit posts

8 mentions

8 mentions

#63

Julia Scientific Programming
Course

This four-module course introduces users to Julia as a first language.

This four-module course introduces users to Julia as a first language.

University of Cape Town

Juan H Klopper

Juan H Klopper

2 reddit posts

4 mentions

4 mentions

#64

Bayesian Methods for Machine Learning
Course

People apply Bayesian methods in many areas: from game development to drug discovery.

People apply Bayesian methods in many areas: from game development to drug discovery.

National Research University Higher School of Economics

Daniil Polykovskiy

Daniil Polykovskiy

0 reddit posts

8 mentions

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.

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

Roger D. Peng, PhD

0 reddit posts

9 mentions

9 mentions

#66

Inferential Statistics
Course

This course covers commonly used statistical inference methods for numerical and categorical data.

This course covers commonly used statistical inference methods for numerical and categorical data.

Duke University

Mine Çetinkaya-Rundel

Mine Çetinkaya-Rundel

0 reddit posts

7 mentions

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.

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

Константин Вячеславович Воронцов

0 reddit posts

2 mentions

2 mentions

#68

Experimentation for Improvement
Course

We are always using experiments to improve our lives, our community, and our work.

We are always using experiments to improve our lives, our community, and our work.

McMaster University

Kevin Dunn

Kevin Dunn

0 reddit posts

3 mentions

3 mentions

#69

Practical Reinforcement Learning
Course

Welcome to the Reinforcement Learning course.

Welcome to the Reinforcement Learning course.

National Research University Higher School of Economics

Pavel Shvechikov

Pavel Shvechikov

1 reddit posts

6 mentions

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,.

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

Emily Fox

0 reddit posts

4 mentions

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.

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

Daniel Egger

0 reddit posts

5 mentions

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.

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

Ilkay Altintas

0 reddit posts

5 mentions

5 mentions

#73

A Crash Course in Data Science
Course

By now you have definitely heard about data science and big data.

By now you have definitely heard about data science and big data.

Johns Hopkins University

Jeff Leek, PhD

Jeff Leek, PhD

1 reddit posts

4 mentions

4 mentions

#74

Introduction to Data Analysis Using Excel
Course

The use of Excel is widespread in the industry.

The use of Excel is widespread in the industry.

Rice University

Sharad Borle

Sharad Borle

0 reddit posts

6 mentions

6 mentions

#75

Bayesian Statistics
Course

Techniques and Models

This is the second of a two-course sequence introducing the fundamentals of 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

Matthew Heiner

0 reddit posts

6 mentions

6 mentions

#76

Applied Text Mining in Python
Course

This course will introduce the learner to text mining and text manipulation basics.

This course will introduce the learner to text mining and text manipulation basics.

University of Michigan

V. G. Vinod Vydiswaran

V. G. Vinod Vydiswaran

0 reddit posts

5 mentions

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.

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

Anna Potapenko

0 reddit posts

7 mentions

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.

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

Bill Howe

0 reddit posts

4 mentions

4 mentions

#79

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

#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.

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

#81

Applied Social Network Analysis in Python
Course

This course will introduce the learner to network analysis through tutorials using the NetworkX library.

This course will introduce the learner to network analysis through tutorials using the NetworkX library.

University of Michigan

Daniel Romero

Daniel Romero

0 reddit posts

4 mentions

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.

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.

Natasha Balac, Ph.D.

0 reddit posts

3 mentions

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.

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

Jiawei Han

0 reddit posts

2 mentions

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.

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

Karen Monsen, Ph.D., RN, FAAN

0 reddit posts

2 mentions

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.

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

#86

Data Analysis with Python
Course

Learn how to analyze data using Python.

Learn how to analyze data using Python.

IBM

Joseph Santarcangelo

Joseph Santarcangelo

0 reddit posts

7 mentions

7 mentions

#87

Genomic Data Science with Galaxy
Course

Learn to use the tools that are available from the Galaxy Project.

Learn to use the tools that are available from the Galaxy Project.

Johns Hopkins University

James Taylor, PhD

James Taylor, PhD

0 reddit posts

3 mentions

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,.

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

Emily Fox

0 reddit posts

3 mentions

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...

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

Prof. Kit Tai Hau 侯傑泰

0 reddit posts

1 mentions

1 mentions

#90

Structuring Machine Learning Projects
Course

You will learn how to build a successful machine learning project.

You will learn how to build a successful machine learning project.

DeepLearning.AI

Andrew Ng

Andrew Ng

0 reddit posts

5 mentions

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.

Hyperparameter tuning, Regularization and Optimization

This course will teach you the "magic" of getting deep learning to work well.

DeepLearning.AI

Andrew Ng

Andrew Ng

0 reddit posts

4 mentions

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.

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

Evgeny Sokolov

0 reddit posts

4 mentions

4 mentions

#93

Digital Marketing Analytics in Theory
Course

Successfully marketing brands today requires a well-balanced blend of art and science.

Successfully marketing brands today requires a well-balanced blend of art and science.

University of Illinois at Urbana-Champaign

Kevin Hartman

Kevin Hartman

0 reddit posts

2 mentions

2 mentions

#94

Data Mining Project
Course

Note: You should complete all the other courses in this Specialization before beginning this course.

Note: You should complete all the other courses in this Specialization before beginning this course.

University of Illinois at Urbana-Champaign

Jiawei Han

Jiawei Han

0 reddit posts

1 mentions

1 mentions

#95

Data-driven Decision Making
Course

Welcome to Data-driven Decision Making.

Welcome to Data-driven Decision Making.

PwC

Alex Mannella

Alex Mannella

0 reddit posts

3 mentions

3 mentions

#96

Business Intelligence Concepts, Tools, and Applications
Course

This is the fourth course in the Data Warehouse for Business Intelligence specialization.

This is the fourth course in the Data Warehouse for Business Intelligence specialization.

University of Colorado System

Jahangir Karimi

Jahangir Karimi

0 reddit posts

1 mentions

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.

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

Daniel Egger

0 reddit posts

2 mentions

2 mentions

#98

Developing Data Products
Course

A data product is the production output from a statistical analysis.

A data product is the production output from a statistical analysis.

Johns Hopkins University

Brian Caffo, PhD

Brian Caffo, PhD

0 reddit posts

1 mentions

1 mentions

#99

Data Visualization with Advanced Excel
Course

In this course, you will get hands-on instruction of advanced Excel 2013 functions.

In this course, you will get hands-on instruction of advanced Excel 2013 functions.

PwC

Alex Mannella

Alex Mannella

0 reddit posts

3 mentions

3 mentions

#100

Problem Solving with Excel
Course

This course explores Excel as a tool for solving business problems.

This course explores Excel as a tool for solving business problems.

PwC

Alex Mannella

Alex Mannella

0 reddit posts

4 mentions

4 mentions