#
Best of Coursera

Top **Data Science** Courses

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

#1

Machine Learning

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

13 reddit posts

1193 mentions

1193 mentions

#2

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

Jeff Leek, PhD

Jeff Leek, PhD

2 reddit posts

137 mentions

137 mentions

#3

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

Brian Caffo, PhD

Brian Caffo, PhD

0 reddit posts

53 mentions

53 mentions

#4

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

15 reddit posts

248 mentions

248 mentions

#5

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

Jeff Leek, PhD

Jeff Leek, PhD

3 reddit posts

389 mentions

389 mentions

#6

IBM Data Science
Professional Certificate

Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming.

Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming.

IBM

Alex Aklson

Alex Aklson

52 reddit posts

58 mentions

58 mentions

#7

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

2 reddit posts

97 mentions

97 mentions

#8

Applied Data Science with Python
Specialization

The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language.

The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language.

University of Michigan

Christopher Brooks

Christopher Brooks

2 reddit posts

134 mentions

134 mentions

#9

TensorFlow in Practice
Specialization

Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework.

Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework.

deeplearning.ai

Laurence Moroney

Laurence Moroney

4 reddit posts

38 mentions

38 mentions

#10

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

Evgeny Sokolov

Evgeny Sokolov

4 reddit posts

61 mentions

61 mentions

#11

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

5 reddit posts

135 mentions

135 mentions

#12

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

4 reddit posts

107 mentions

107 mentions

#13

R Programming

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

1 reddit posts

74 mentions

74 mentions

#14

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

3 reddit posts

57 mentions

57 mentions

#15

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

3 reddit posts

40 mentions

40 mentions

#16

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.

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

Steven Salzberg, PhD

2 reddit posts

78 mentions

78 mentions

#17

Neural Networks and Deep Learning

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

2 reddit posts

31 mentions

31 mentions

#18

Improving your statistical inferences

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

2 reddit posts

34 mentions

34 mentions

#19

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

0 reddit posts

45 mentions

45 mentions

#20

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

46 mentions

46 mentions

#21

Computational Neuroscience

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

0 reddit posts

29 mentions

29 mentions

#22

Introduction to Data Science in Python

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

1 reddit posts

30 mentions

30 mentions

#23

Reinforcement Learning
Specialization

The Reinforcement Learning Specialization consists of 4 courses exploring the power of adaptive learning systems and artificial intelligence (AI).

The Reinforcement Learning Specialization consists of 4 courses exploring the power of adaptive learning systems and artificial intelligence (AI).

University of Alberta

Martha White

Martha White

2 reddit posts

13 mentions

13 mentions

#24

Probabilistic Graphical Models 1

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

2 reddit posts

22 mentions

22 mentions

#25

Mathematics for Machine Learning

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

19 mentions

19 mentions

#26

Convolutional Neural Networks

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

4 reddit posts

17 mentions

17 mentions

#27

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

1 reddit posts

47 mentions

47 mentions

#28

Basic Statistics

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

1 reddit posts

20 mentions

20 mentions

#29

How to Win a Data Science Competition

Learn from Top Kagglers

If you want to break into competitive data science, then this course is for you! Participating in predictive modelling competitions can help you gain practical experience, improve and harness your data modelling skills in various domains such as credit, insurance, marketing, natural language process...

Learn from Top Kagglers

If you want to break into competitive data science, then this course is for you! Participating in predictive modelling competitions can help you gain practical experience, improve and harness your data modelling skills in various domains such as credit, insurance, marketing, natural language process...

National Research University Higher School of Economics

Dmitry Ulyanov

Dmitry Ulyanov

1 reddit posts

12 mentions

12 mentions

#30

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.

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

22 mentions

22 mentions

#31

Business Analytics
Specialization

This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience.

This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience.

University of Pennsylvania

Eric Bradlow

Eric Bradlow

2 reddit posts

17 mentions

17 mentions

#32

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

Lisa Dierker

Lisa Dierker

0 reddit posts

57 mentions

57 mentions

#33

Sequence Models

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

3 reddit posts

9 mentions

9 mentions

#34

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

1 reddit posts

119 mentions

119 mentions

#35

Data Engineering, Big Data, and Machine Learning on GCP
Specialization

This online specialization provides participants a hands-on introduction to designing and building data pipelines on Google Cloud Platform.

This online specialization provides participants a hands-on introduction to designing and building data pipelines on Google Cloud Platform.

Google Cloud

Google Cloud Training

Google Cloud Training

2 reddit posts

16 mentions

16 mentions

#36

Machine Learning with TensorFlow on Google Cloud Platform
Specialization

What is machine learning, and what kinds of problems can it solve? What are the five phases of converting a candidate use case to be driven by machine learning, and why is it important that the phases not be skipped? Why are neural networks so popular now? How can you set up a supervised learning pr...

What is machine learning, and what kinds of problems can it solve? What are the five phases of converting a candidate use case to be driven by machine learning, and why is it important that the phases not be skipped? Why are neural networks so popular now? How can you set up a supervised learning pr...

Google Cloud

Google Cloud Training

Google Cloud Training

1 reddit posts

11 mentions

11 mentions

#37

Statistical Inference

Statistical inference is the process of drawing conclusions about populations or scientific truths from data.

Statistical inference is the process of drawing conclusions about populations or scientific truths from data.

Johns Hopkins University

Brian Caffo, PhD

Brian Caffo, PhD

0 reddit posts

18 mentions

18 mentions

#38

Practical Machine Learning

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

16 mentions

16 mentions

#39

Learn SQL Basics for Data Science
Specialization

This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency.

This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency.

University of California, Davis

Sadie St. Lawrence

Sadie St. Lawrence

0 reddit posts

11 mentions

11 mentions

#40

Machine Learning Foundations

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

1 reddit posts

19 mentions

19 mentions

#41

Applied Machine Learning in Python

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

13 mentions

13 mentions

#42

Data Visualization

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

13 mentions

13 mentions

#43

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

16 mentions

16 mentions

#44

Recommender Systems
Specialization

A Recommender System is a process that seeks to predict user preferences.

A Recommender System is a process that seeks to predict user preferences.

University of Minnesota

Joseph A Konstan

Joseph A Konstan

0 reddit posts

14 mentions

14 mentions

#45

Managing Big Data with MySQL

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

17 mentions

17 mentions

#46

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.

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

1 reddit posts

10 mentions

10 mentions

#47

Statistics with Python
Specialization

This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language.

This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language.

University of Michigan

Brenda Gunderson

Brenda Gunderson

2 reddit posts

10 mentions

10 mentions

#48

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

Desiree' Abbott

Desiree' Abbott

0 reddit posts

11 mentions

11 mentions

#49

Introduction to Neurohacking In R

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

8 mentions

8 mentions

#50

Getting and Cleaning Data

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

0 reddit posts

13 mentions

13 mentions

#51

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

Frauke Kreuter, Ph.D.

Frauke Kreuter, Ph.D.

0 reddit posts

15 mentions

15 mentions

#52

Data Visualization and Communication with Tableau

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

17 mentions

17 mentions

#53

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

13 mentions

13 mentions

#54

Introduction to Big Data

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

10 mentions

10 mentions

#55

Julia Scientific Programming

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

5 mentions

5 mentions

#56

Machine Learning

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

14 mentions

14 mentions

#57

Reproducible Research

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

11 mentions

11 mentions

#58

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.

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

#59

Bayesian Statistics

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

21 mentions

21 mentions

#60

SQL for Data Science

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

9 mentions

9 mentions

#61

Data Manipulation at Scale

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

14 mentions

14 mentions

#62

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

1 reddit posts

7 mentions

7 mentions

#63

A Crash Course in Data Science

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

6 mentions

6 mentions

#64

Exploratory Data Analysis

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

11 mentions

11 mentions

#65

Regression Models

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

10 mentions

10 mentions

#66

Algorithms for DNA Sequencing

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

10 mentions

10 mentions

#67

Hadoop Platform and Application Framework

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

14 mentions

14 mentions

#68

Machine Learning

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

13 mentions

13 mentions

#69

Process Mining

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

12 mentions

12 mentions

#70

Natural Language Processing

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

9 mentions

9 mentions

#71

Python for Genomic Data Science

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

11 mentions

11 mentions

#72

Practical Time Series Analysis

Welcome to Practical Time Series Analysis! Many of us are "accidental" data analysts.

Welcome to Practical Time Series Analysis! Many of us are "accidental" data analysts.

The State University of New York

Tural Sadigov

Tural Sadigov

0 reddit posts

8 mentions

8 mentions

#73

Applied Plotting, Charting & Data Representation in Python

This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library.

This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library.

University of Michigan

Christopher Brooks

Christopher Brooks

0 reddit posts

6 mentions

6 mentions

#74

Applied Social Network Analysis in Python

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

7 mentions

7 mentions

#75

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.

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

Philip Hans Franses

0 reddit posts

5 mentions

5 mentions

#76

Text Retrieval and Search Engines

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

8 mentions

8 mentions

#77

Text Mining and Analytics

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

0 reddit posts

9 mentions

9 mentions

#78

Machine Learning and Reinforcement Learning in Finance
Specialization

The main goal of this specialization is to provide the knowledge and practical skills necessary to develop a strong foundation on core paradigms and algorithms of machine learning (ML), with a particular focus on applications of ML to various practical problems in Finance.

The main goal of this specialization is to provide the knowledge and practical skills necessary to develop a strong foundation on core paradigms and algorithms of machine learning (ML), with a particular focus on applications of ML to various practical problems in Finance.

New York University

Igor Halperin

Igor Halperin

0 reddit posts

9 mentions

9 mentions

#79

Machine Learning

Clustering & Retrieval

Case Studies: Finding Similar Documents A reader is interested in a specific news article and you want to find similar articles to recommend.

Clustering & Retrieval

Case Studies: Finding Similar Documents A reader is interested in a specific news article and you want to find similar articles to recommend.

University of Washington

Emily Fox

Emily Fox

0 reddit posts

6 mentions

6 mentions

#80

Maps and the Geospatial Revolution

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

0 reddit posts

8 mentions

8 mentions

#81

Data Management and Visualization

Whether being used to customize advertising to millions of website visitors or streamline inventory ordering at a small restaurant, data is becoming more integral to success.

Whether being used to customize advertising to millions of website visitors or streamline inventory ordering at a small restaurant, data is becoming more integral to success.

Wesleyan University

Lisa Dierker

Lisa Dierker

0 reddit posts

14 mentions

14 mentions

#82

IBM Applied AI
Professional Certificate

Artificial Intelligence (AI) is transforming our world.

Artificial Intelligence (AI) is transforming our world.

IBM

Rav Ahuja

Rav Ahuja

8 reddit posts

10 mentions

10 mentions

#83

Inferential Statistics

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

5 mentions

5 mentions

#84

Bayesian Methods for Machine Learning

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

#85

Regression Modeling in Practice

This course focuses on one of the most important tools in your data analysis arsenal: regression analysis.

This course focuses on one of the most important tools in your data analysis arsenal: regression analysis.

Wesleyan University

Jen Rose

Jen Rose

0 reddit posts

10 mentions

10 mentions

#86

Developing Data Products

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

6 mentions

6 mentions

#87

Data Analysis Tools

In this course, you will develop and test hypotheses about your data.

In this course, you will develop and test hypotheses about your data.

Wesleyan University

Jen Rose

Jen Rose

0 reddit posts

11 mentions

11 mentions

#88

IBM AI Engineering
Professional Certificate

The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence.

The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence.

IBM

SAEED AGHABOZORGI

SAEED AGHABOZORGI

0 reddit posts

11 mentions

11 mentions

#89

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.

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

7 mentions

7 mentions

#90

Practical Reinforcement Learning

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

#91

Genomic Data Science with Galaxy

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

6 mentions

6 mentions

#92

Bioconductor for Genomic Data Science

Learn to use tools from the Bioconductor project to perform analysis of genomic data.

Learn to use tools from the Bioconductor project to perform analysis of genomic data.

Johns Hopkins University

Kasper Daniel Hansen, PhD

Kasper Daniel Hansen, PhD

0 reddit posts

6 mentions

6 mentions

#93

Statistics for Genomic Data Science

An introduction to the statistics behind the most popular genomic data science projects.

An introduction to the statistics behind the most popular genomic data science projects.

Johns Hopkins University

Jeff Leek, PhD

Jeff Leek, PhD

0 reddit posts

6 mentions

6 mentions

#94

Interprofessional Healthcare Informatics

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

#95

Pattern Discovery in Data Mining

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

4 mentions

4 mentions

#96

Practical Predictive Analytics

Models and Methods

Statistical experiment design and analytics are at the heart of data science.

Models and Methods

Statistical experiment design and analytics are at the heart of data science.

University of Washington

Bill Howe

Bill Howe

0 reddit posts

9 mentions

9 mentions

#97

Introduction to Data Analysis Using Excel

The use of Excel is widespread in the industry.

The use of Excel is widespread in the industry.

Rice University

Sharad Borle

Sharad Borle

1 reddit posts

5 mentions

5 mentions

#98

Linear Regression and Modeling

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

#99

Relational Database Support for Data Warehouses

Relational Database Support for Data Warehouses is the third course in the Data Warehousing for Business Intelligence specialization.

Relational Database Support for Data Warehouses is the third course in the Data Warehousing for Business Intelligence specialization.

University of Colorado System

Michael Mannino

Michael Mannino

0 reddit posts

8 mentions

8 mentions

#100

Command Line Tools for Genomic Data Science

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

5 mentions

5 mentions