These are the top 123 Data Analysis courses and offerings found from analyzing all discussions on Reddit that mention any Coursera course.
#1
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
#2
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
#3
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
#4
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
#5
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
#6
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
#7
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
#8
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
#9
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
#10
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
#11
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
#12
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
#13
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
#14
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
#15
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
#16
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
#17
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
#18
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
#19
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
#20
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
#21
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
#22
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
#23
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
#24
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
#25
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
#26
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
#27
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
#28
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
#29
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
#30
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
#31
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
#32
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
#33
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
#34
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
#35
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
#36
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
#37
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
#38
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
#39
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
#40
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
#41
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
#42
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
#43
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
#44
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
#45
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
#46
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
#47
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
#48
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
#49
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
#50
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
#51
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
#52
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
#53
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
#54
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
#55
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
#56
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
#57
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
#58
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
#59
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
#60
Applied Text Mining in Python
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
4 mentions
4 mentions
#61
Communicating Data Science Results
Important note: The second assignment in this course covers the topic of Graph Analysis in the Cloud, in which you will use Elastic MapReduce and the Pig language to perform graph analysis over a moderately large dataset, about 600GB.
Important note: The second assignment in this course covers the topic of Graph Analysis in the Cloud, in which you will use Elastic MapReduce and the Pig language to perform graph analysis over a moderately large dataset, about 600GB.
University of Washington
Bill Howe
Bill Howe
0 reddit posts
5 mentions
5 mentions
#62
Big Data Modeling and Management Systems
Once you’ve identified a big data issue to analyze, how do you collect, store and organize your data using Big Data solutions? In this course, you will experience various data genres and management tools appropriate for each.
Once you’ve identified a big data issue to analyze, how do you collect, store and organize your data using Big Data solutions? In this course, you will experience various data genres and management tools appropriate for each.
University of California San Diego
Ilkay Altintas
Ilkay Altintas
0 reddit posts
4 mentions
4 mentions
#63
Graph Analytics for Big Data
Want to understand your data network structure and how it changes under different conditions? Curious to know how to identify closely interacting clusters within a graph? Have you heard of the fast-growing area of graph analytics and want to learn more? This course gives you a broad overview of the ...
Want to understand your data network structure and how it changes under different conditions? Curious to know how to identify closely interacting clusters within a graph? Have you heard of the fast-growing area of graph analytics and want to learn more? This course gives you a broad overview of the ...
University of California San Diego
Amarnath Gupta
Amarnath Gupta
0 reddit posts
4 mentions
4 mentions
#64
Structuring Machine Learning Projects
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
6 mentions
6 mentions
#65
Principles of fMRI 1
This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data.
This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data.
Johns Hopkins University
Martin Lindquist, PhD, MSc
Martin Lindquist, PhD, MSc
0 reddit posts
4 mentions
4 mentions
#66
Combining and Analyzing Complex Data
In this course you will learn how to use survey weights to estimate descriptive statistics, like means and totals, and more complicated quantities like model parameters for linear and logistic regressions.
In this course you will learn how to use survey weights to estimate descriptive statistics, like means and totals, and more complicated quantities like model parameters for linear and logistic regressions.
University of Maryland, College Park
Richard Valliant, Ph.D.
Richard Valliant, Ph.D.
0 reddit posts
3 mentions
3 mentions
#67
Math behind Moneyball
Learn how probability, math, and statistics can be used to help baseball, football and basketball teams improve, player and lineup selection as well as in game strategy.
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
2 mentions
2 mentions
#68
The R Programming Environment
This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting.
This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting.
Johns Hopkins University
Roger D. Peng, PhD
Roger D. Peng, PhD
0 reddit posts
3 mentions
3 mentions
#69
Dealing With Missing Data
This course will cover the steps used in weighting sample surveys, including methods for adjusting for nonresponse and using data external to the survey for calibration.
This course will cover the steps used in weighting sample surveys, including methods for adjusting for nonresponse and using data external to the survey for calibration.
University of Maryland, College Park
Richard Valliant, Ph.D.
Richard Valliant, Ph.D.
0 reddit posts
3 mentions
3 mentions
#70
Big Data Integration and Processing
At the end of the course, you will be able to: *Retrieve data from example database and big data management systems *Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications *Identify when a big d...
At the end of the course, you will be able to: *Retrieve data from example database and big data management systems *Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications *Identify when a big d...
University of California San Diego
Ilkay Altintas
Ilkay Altintas
0 reddit posts
3 mentions
3 mentions
#71
Framework for Data Collection and Analysis
This course will provide you with an overview over existing data products and a good understanding of the data collection landscape.
This course will provide you with an overview over existing data products and a good understanding of the data collection landscape.
University of Maryland, College Park
Frauke Kreuter, Ph.D.
Frauke Kreuter, Ph.D.
0 reddit posts
2 mentions
2 mentions
#72
Data-driven Decision Making
Welcome to Data-driven Decision Making.
Welcome to Data-driven Decision Making.
PwC
Alex Mannella
Alex Mannella
0 reddit posts
3 mentions
3 mentions
#73
Building Data Visualization Tools
The data science revolution has produced reams of new data from a wide variety of new sources.
The data science revolution has produced reams of new data from a wide variety of new sources.
Johns Hopkins University
Roger D. Peng, PhD
Roger D. Peng, PhD
0 reddit posts
2 mentions
2 mentions
#74
Hands-on Text Mining and Analytics
This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java.
This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java.
Yonsei University
Min Song
Min Song
0 reddit posts
2 mentions
2 mentions
#75
Research Data Management and Sharing
This course will provide learners with an introduction to research data management and sharing.
This course will provide learners with an introduction to research data management and sharing.
The University of North Carolina at Chapel Hill
Helen Tibbo
Helen Tibbo
1 reddit posts
2 mentions
2 mentions
#76
Cluster Analysis in Data Mining
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
#77
Essential Design Principles for Tableau
In this course, you will analyze and apply essential design principles to your Tableau visualizations.
In this course, you will analyze and apply essential design principles to your Tableau visualizations.
University of California, Davis
Govind Acharya
Govind Acharya
0 reddit posts
2 mentions
2 mentions
#78
Advanced R Programming
This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools.
This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools.
Johns Hopkins University
Roger D. Peng, PhD
Roger D. Peng, PhD
0 reddit posts
2 mentions
2 mentions
#79
Business Metrics for Data-Driven Companies
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
#80
Data Science Capstone
The capstone project class will allow students to create a usable/public data product that can be used to show your skills to potential employers.
The capstone project class will allow students to create a usable/public data product that can be used to show your skills to potential employers.
Johns Hopkins University
Jeff Leek, PhD
Jeff Leek, PhD
0 reddit posts
1 mentions
1 mentions
#81
Data Visualization with Advanced Excel
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
#82
Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions
The ability to understand and apply Business Statistics is becoming increasingly important in the industry.
The ability to understand and apply Business Statistics is becoming increasingly important in the industry.
Rice University
Sharad Borle
Sharad Borle
0 reddit posts
1 mentions
1 mentions
#83
Fundamentals of Visualization with Tableau
In this first course of this specialization, you will discover what data visualization is, and how we can use it to better see and understand data.
In this first course of this specialization, you will discover what data visualization is, and how we can use it to better see and understand data.
University of California, Davis
Desiree' Abbott
Desiree' Abbott
0 reddit posts
1 mentions
1 mentions
#84
Building R Packages
Writing good code for data science is only part of the job.
Writing good code for data science is only part of the job.
Johns Hopkins University
Roger D. Peng, PhD
Roger D. Peng, PhD
0 reddit posts
1 mentions
1 mentions
#85
Building a Data Science Team
Data science is a team sport.
Data science is a team sport.
Johns Hopkins University
Jeff Leek, PhD
Jeff Leek, PhD
0 reddit posts
1 mentions
1 mentions
#86
Introducción a Data Science
Programación Estadística con R
Este curso te proporcionará las bases del lenguaje de programación estadística R, la lengua franca de la estadística, el cual te permitirá escribir programas que lean, manipulen y analicen datos cuantitativos.
Programación Estadística con R
Este curso te proporcionará las bases del lenguaje de programación estadística R, la lengua franca de la estadística, el cual te permitirá escribir programas que lean, manipulen y analicen datos cuantitativos.
Universidad Nacional Autónoma de México
Carlos Ernesto López Natarén
Carlos Ernesto López Natarén
1 reddit posts
0 mentions
0 mentions
#87
Problem Solving with Excel
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
#88
Principles of fMRI 2
This course covers the analysis of Functional Magnetic Resonance Imaging (fMRI) data.
This course covers the analysis of Functional Magnetic Resonance Imaging (fMRI) data.
Johns Hopkins University
Martin Lindquist, PhD, MSc
Martin Lindquist, PhD, MSc
0 reddit posts
1 mentions
1 mentions
#89
Data Analysis with Python
Learn how to analyze data using Python.
Learn how to analyze data using Python.
IBM
Joseph Santarcangelo
Joseph Santarcangelo
0 reddit posts
5 mentions
5 mentions
#90
Introduction to Data Analytics for Business
This course will expose you to the data analytics practices executed in the business world.
This course will expose you to the data analytics practices executed in the business world.
University of Colorado Boulder
David Torgerson
David Torgerson
0 reddit posts
5 mentions
5 mentions
#91
Mastering Data Analysis in Excel
Important: The focus of this course is on math - specifically, data-analysis concepts and methods - not on Excel for its own sake.
Important: The focus of this course is on math - specifically, data-analysis concepts and methods - not on Excel for its own sake.
Duke University
Jana Schaich Borg
Jana Schaich Borg
0 reddit posts
2 mentions
2 mentions
#92
Spatial Data Science and Applications
Spatial (map) is considered as a core infrastructure of modern IT world, which is substantiated by business transactions of major IT companies such as Apple, Google, Microsoft, Amazon, Intel, and Uber, and even motor companies such as Audi, BMW, and Mercedes.
Spatial (map) is considered as a core infrastructure of modern IT world, which is substantiated by business transactions of major IT companies such as Apple, Google, Microsoft, Amazon, Intel, and Uber, and even motor companies such as Audi, BMW, and Mercedes.
Yonsei University
Joon Heo
Joon Heo
1 reddit posts
1 mentions
1 mentions
#93
Business Analytics for Decision Making
In this course you will learn how to create models for decision making.
In this course you will learn how to create models for decision making.
University of Colorado Boulder
Manuel Laguna
Manuel Laguna
0 reddit posts
2 mentions
2 mentions
#94
Capstone
Retrieving, Processing, and Visualizing Data with Python
In the capstone, students will build a series of applications to retrieve, process and visualize data using Python.
Retrieving, Processing, and Visualizing Data with Python
In the capstone, students will build a series of applications to retrieve, process and visualize data using Python.
University of Michigan
Charles Russell Severance
Charles Russell Severance
0 reddit posts
4 mentions
4 mentions
#95
Capstone
Analyzing (Social) Network Data
In this capstone project we’ll combine all of the skills from all four specialization courses to do something really fun: analyze social networks! The opportunities for learning are practically endless in a social network.
Analyzing (Social) Network Data
In this capstone project we’ll combine all of the skills from all four specialization courses to do something really fun: analyze social networks! The opportunities for learning are practically endless in a social network.
University of California San Diego
Christine Alvarado
Christine Alvarado
0 reddit posts
1 mentions
1 mentions
#96
Predictive Modeling and Analytics
Welcome to the second course in the Data Analytics for Business specialization! This course will introduce you to some of the most widely used predictive modeling techniques and their core principles.
Welcome to the second course in the Data Analytics for Business specialization! This course will introduce you to some of the most widely used predictive modeling techniques and their core principles.
University of Colorado Boulder
Dan Zhang
Dan Zhang
0 reddit posts
1 mentions
1 mentions
#97
Communicating Business Analytics Results
The analytical process does not end with models than can predict with accuracy or prescribe the best solution to business problems.
The analytical process does not end with models than can predict with accuracy or prescribe the best solution to business problems.
University of Colorado Boulder
Manuel Laguna
Manuel Laguna
0 reddit posts
1 mentions
1 mentions
#98
GIS, Mapping, and Spatial Analysis
Specialization
This Specialization is for those new to mapping and GIS, as well as anyone looking to gain a better understanding of how it all works and why.
This Specialization is for those new to mapping and GIS, as well as anyone looking to gain a better understanding of how it all works and why.
University of Toronto
Don Boyes
Don Boyes
1 reddit posts
3 mentions
3 mentions
#99
Business Analytics Capstone
The Business Analytics Capstone Project gives you the opportunity to apply what you've learned about how to make data-driven decisions to a real business challenge faced by global technology companies like Yahoo, Google, and Facebook.
The Business Analytics Capstone Project gives you the opportunity to apply what you've learned about how to make data-driven decisions to a real business challenge faced by global technology companies like Yahoo, Google, and Facebook.
University of Pennsylvania
Wharton Teaching Staff
Wharton Teaching Staff
0 reddit posts
1 mentions
1 mentions
#100
Databases and SQL for Data Science
Much of the world's data resides in databases.
Much of the world's data resides in databases.
IBM
Rav Ahuja
Rav Ahuja
9 reddit posts
2 mentions
2 mentions
#101
Getting Started with SAS Programming
This course is for users who want to learn how to write SAS programs to access, explore, prepare, and analyze data.
This course is for users who want to learn how to write SAS programs to access, explore, prepare, and analyze data.
SAS
Stacey Syphus
Stacey Syphus
0 reddit posts
1 mentions
1 mentions
#102
What is Data Science?
The art of uncovering the insights and trends in data has been around since ancient times.
The art of uncovering the insights and trends in data has been around since ancient times.
IBM
Alex Aklson
Alex Aklson
0 reddit posts
3 mentions
3 mentions
#103
Computational Social Science
Specialization
For more information please view the Computational Social Science Trailer Digital technology has not only revolutionized society, but also the way we can study it.
For more information please view the Computational Social Science Trailer Digital technology has not only revolutionized society, but also the way we can study it.
University of California, Davis
Martin Hilbert
Martin Hilbert
1 reddit posts
123 mentions
123 mentions
#104
Python for Data Science and AI
This introduction to Python will kickstart your learning of Python for data science, as well as programming in general.
This introduction to Python will kickstart your learning of Python for data science, as well as programming in general.
IBM
Joseph Santarcangelo
Joseph Santarcangelo
8 reddit posts
1 mentions
1 mentions
#105
SAS Programmer
Professional Certificate
When you complete the SAS® Base Programming courses, you will have demonstrated skills in manipulating and transforming data, combining SAS data sets, creating basic detail and summary reports using SAS procedures and identifying and correcting data, syntax and programming logic errors.
When you complete the SAS® Base Programming courses, you will have demonstrated skills in manipulating and transforming data, combining SAS data sets, creating basic detail and summary reports using SAS procedures and identifying and correcting data, syntax and programming logic errors.
SAS
Stacey Syphus
Stacey Syphus
0 reddit posts
2 mentions
2 mentions
#106
Practical Data Science with MATLAB
Specialization
Do you find yourself in an industry or field that increasingly uses data to answer questions? Are you working with an overwhelming amount of data and need to make sense of it? Do you want to avoid becoming a full-time software developer or statistician to do meaningful tasks with your data? Complet...
Do you find yourself in an industry or field that increasingly uses data to answer questions? Are you working with an overwhelming amount of data and need to make sense of it? Do you want to avoid becoming a full-time software developer or statistician to do meaningful tasks with your data? Complet...
MathWorks
Brandon Armstrong
Brandon Armstrong
0 reddit posts
3 mentions
3 mentions
#107
Data Visualization with Python
"A picture is worth a thousand words".
"A picture is worth a thousand words".
IBM
Alex Aklson
Alex Aklson
0 reddit posts
3 mentions
3 mentions
#108
Exploratory Data Analysis with MATLAB
In this course, you will learn to think like a data scientist and ask questions of your data.
In this course, you will learn to think like a data scientist and ask questions of your data.
MathWorks
Brandon Armstrong
Brandon Armstrong
0 reddit posts
1 mentions
1 mentions
#109
Data Wrangling, Analysis and AB Testing with SQL
This course allows you to apply the SQL skills taught in “SQL for Data Science” to four increasingly complex and authentic data science inquiry case studies.
This course allows you to apply the SQL skills taught in “SQL for Data Science” to four increasingly complex and authentic data science inquiry case studies.
University of California, Davis
Katrina Glaeser
Katrina Glaeser
0 reddit posts
1 mentions
1 mentions
#110
Visualization for Data Journalism
While telling stories with data has been part of the news practice since its earliest days, it is in the midst of a renaissance.
While telling stories with data has been part of the news practice since its earliest days, it is in the midst of a renaissance.
University of Illinois at Urbana-Champaign
Margaret Ng
Margaret Ng
0 reddit posts
1 mentions
1 mentions
#111
Statistics for Researchers
Understanding Mediation, Moderation and Beyond
Are you trying to understand data from your research? Learn how and when to conduct mediation, moderation, and conditional indirect effects analyses? Or, perhaps, how to theorize and test your theoretical models? If so, this is the course for you! We will walk you through the steps of conducting mul...
Understanding Mediation, Moderation and Beyond
Are you trying to understand data from your research? Learn how and when to conduct mediation, moderation, and conditional indirect effects analyses? Or, perhaps, how to theorize and test your theoretical models? If so, this is the course for you! We will walk you through the steps of conducting mul...
University of Virginia
Cristiano Guarana
Cristiano Guarana
0 reddit posts
1 mentions
1 mentions
#112
Social Network Analysis
This course is designed to quite literally ‘make a science’ out of something at the heart of society: social networks.
This course is designed to quite literally ‘make a science’ out of something at the heart of society: social networks.
University of California, Davis
Martin Hilbert
Martin Hilbert
0 reddit posts
22 mentions
22 mentions
#113
Computational Social Science Capstone Project
CONGRATULATIONS! Not only did you accomplish to finish our intellectual tour de force, but, by now, you also already have all required skills to execute a comprehensive multi-method workflow of computational social science.
CONGRATULATIONS! Not only did you accomplish to finish our intellectual tour de force, but, by now, you also already have all required skills to execute a comprehensive multi-method workflow of computational social science.
University of California, Davis
Martin Hilbert
Martin Hilbert
0 reddit posts
22 mentions
22 mentions
#114
Computational Social Science Methods
This course gives you an overview of the current opportunities and the omnipresent reach of computational social science.
This course gives you an overview of the current opportunities and the omnipresent reach of computational social science.
University of California, Davis
Martin Hilbert
Martin Hilbert
0 reddit posts
22 mentions
22 mentions
#115
Big Data, Artificial Intelligence, and Ethics
This course gives you context and first-hand experience with the two major catalyzers of the computational science revolution: big data and artificial intelligence.
This course gives you context and first-hand experience with the two major catalyzers of the computational science revolution: big data and artificial intelligence.
University of California, Davis
Martin Hilbert
Martin Hilbert
0 reddit posts
22 mentions
22 mentions
#116
3D Data Visualization for Science Communication
This course is an introduction to 3D scientific data visualization, with an emphasis on science communication and cinematic design for appealing to broad audiences.
This course is an introduction to 3D scientific data visualization, with an emphasis on science communication and cinematic design for appealing to broad audiences.
University of Illinois at Urbana-Champaign
Kalina Borkiewicz
Kalina Borkiewicz
0 reddit posts
1 mentions
1 mentions
#117
Modern Big Data Analysis with SQL
Specialization
This Specialization teaches the essential skills for working with large-scale data using SQL.
This Specialization teaches the essential skills for working with large-scale data using SQL.
Cloudera
Glynn Durham
Glynn Durham
0 reddit posts
2 mentions
2 mentions
#118
Data Science in Stratified Healthcare and Precision Medicine
An increasing volume of data is becoming available in biomedicine and healthcare, from genomic data, to electronic patient records and data collected by wearable devices.
An increasing volume of data is becoming available in biomedicine and healthcare, from genomic data, to electronic patient records and data collected by wearable devices.
The University of Edinburgh
Dr Areti Manataki
Dr Areti Manataki
0 reddit posts
1 mentions
1 mentions
#119
End-to-End Machine Learning with TensorFlow on GCP
In the first course of this specialization, we will recap what was covered in the Machine Learning with TensorFlow on Google Cloud Platform Specialization (https://www.
In the first course of this specialization, we will recap what was covered in the Machine Learning with TensorFlow on Google Cloud Platform Specialization (https://www.
Google Cloud
Google Cloud Training
Google Cloud Training
0 reddit posts
1 mentions
1 mentions
#120
Information Visualization
Specialization
This specialization provides learners with the necessary knowledge and practical skills to develop a strong foundation in information visualization and to design and develop advanced applications for visual data analysis.
This specialization provides learners with the necessary knowledge and practical skills to develop a strong foundation in information visualization and to design and develop advanced applications for visual data analysis.
New York University
Enrico Bertini
Enrico Bertini
0 reddit posts
4 mentions
4 mentions
#121
Data Analytics for Lean Six Sigma
Welcome to this course on Data Analytics for Lean Six Sigma.
Welcome to this course on Data Analytics for Lean Six Sigma.
University of Amsterdam
Inez Zwetsloot
Inez Zwetsloot
0 reddit posts
2 mentions
2 mentions
#122
Data Science Methodology
Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don't have a solid understanding of the questions being asked and how to apply the da...
Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don't have a solid understanding of the questions being asked and how to apply the da...
IBM
Alex Aklson
Alex Aklson
0 reddit posts
1 mentions
1 mentions
#123
Deploying Machine Learning Models
In this course we will learn about Recommender Systems (which we will study for the Capstone project), and also look at deployment issues for data products.
In this course we will learn about Recommender Systems (which we will study for the Capstone project), and also look at deployment issues for data products.
University of California San Diego
Ilkay Altintas
Ilkay Altintas
0 reddit posts
1 mentions
1 mentions