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Top Johns Hopkins University Courses

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These are the top 60 Johns Hopkins University courses and offerings found from analyzing all discussions on Reddit that mention any Coursera course.

#1
COVID-19 Contact Tracing
The COVID-19 crisis has created an unprecedented need for contact tracing across the country, requiring thousands of people to learn key skills quickly.
Johns Hopkins University
Emily Gurley, PhD, MPH
12 reddit posts
35 mentions
#2
Data Science Specialization
Foundations using R
Ask the right questions, manipulate data sets, and create visualizations to communicate results.
Johns Hopkins University
Jeff Leek, PhD
2 reddit posts
137 mentions
#3
Data Science Specialization
Statistics and Machine Learning
Build models, make inferences, and deliver interactive data products.
Johns Hopkins University
Brian Caffo, PhD
0 reddit posts
53 mentions
#4
Data Science Specialization
Ask the right questions, manipulate data sets, and create visualizations to communicate results.
Johns Hopkins University
Jeff Leek, PhD
3 reddit posts
389 mentions
#5
Fighting COVID-19 with Epidemiology
A Johns Hopkins Teach-Out
This free Teach-Out is for anyone who has been curious about how we identify and measure outbreaks like the COVID-19 epidemic and wants to understand the epidemiology of these infections.
Johns Hopkins University
Gypsyamber D'Souza, PhD, MS, MPH
3 reddit posts
20 mentions
#6
R Programming
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
1 reddit posts
74 mentions
#7
Ruby on Rails Web Development Specialization
This Specialization covers the fundamentals of web development with Ruby on Rails.
Johns Hopkins University
Kalman Hazins
3 reddit posts
109 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.
Johns Hopkins University
Steven Salzberg, PhD
2 reddit posts
78 mentions
#9
HTML, CSS, and Javascript for Web Developers
Do you realize that the only functionality of a web application that the user directly interacts with is through the web page? Implement it poorly and, to the user, the server-side becomes irrelevant! Today’s user expects a lot out of the web page: it has to load fast, expose the desired service, an...
Johns Hopkins University
Yaakov Chaikin
0 reddit posts
35 mentions
#10
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
1 reddit posts
22 mentions
#11
Mathematical Biostatistics Boot Camp 1
This class presents the fundamental probability and statistical concepts used in elementary data analysis.
Johns Hopkins University
Brian Caffo, PhD
0 reddit posts
17 mentions
#12
Psychological First Aid
Learn to provide psychological first aid to people in an emergency by employing the RAPID model: Reflective listening, Assessment of needs, Prioritization, Intervention, and Disposition.
Johns Hopkins University
George Everly, Jr., PhD
0 reddit posts
14 mentions
#13
Statistical Inference
Statistical inference is the process of drawing conclusions about populations or scientific truths from data.
Johns Hopkins University
Brian Caffo, PhD
0 reddit posts
18 mentions
#14
Practical 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
0 reddit posts
16 mentions
#15
Executive Data Science Specialization
Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects.
Johns Hopkins University
Jeff Leek, PhD
2 reddit posts
16 mentions
#16
Introduction to Neurohacking In R
Neurohacking describes how to use the R programming language (https://cran.
Johns Hopkins University
Dr. Elizabeth Sweeney
2 reddit posts
8 mentions
#17
Ruby on Rails
An Introduction
Did you ever want to build a web application? Perhaps you even started down that path in a language like Java or C#, when you realized that there was so much “climbing the mountain” that you had to do? Maybe you have heard about web services being all the rage, but thought they were too complicated...
Johns Hopkins University
Kalman Hazins
0 reddit posts
18 mentions
#18
Getting and Cleaning Data
Before you can work with data you have to get some.
Johns Hopkins University
Jeff Leek, PhD
0 reddit posts
13 mentions
#19
Mastering Software Development in R Specialization
R is a programming language and a free software environment for statistical computing and graphics, widely used by data analysts, data scientists and statisticians.
Johns Hopkins University
Roger D. Peng, PhD
0 reddit posts
13 mentions
#20
Single Page Web Applications with AngularJS
Do you want to write powerful, maintainable, and testable front end applications faster and with less code? Then consider joining this course to gain skills in one of the most popular Single Page Application (SPA) frameworks today, AngularJS.
Johns Hopkins University
Yaakov Chaikin
0 reddit posts
10 mentions
#21
Reproducible Research
This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner.
Johns Hopkins University
Roger D. Peng, PhD
0 reddit posts
11 mentions
#22
A Crash Course in Data Science
By now you have definitely heard about data science and big data.
Johns Hopkins University
Jeff Leek, PhD
1 reddit posts
6 mentions
#23
Exploratory Data Analysis
This course covers the essential exploratory techniques for summarizing data.
Johns Hopkins University
Roger D. Peng, PhD
0 reddit posts
11 mentions
#24
Regression Models
Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions.
Johns Hopkins University
Brian Caffo, PhD
0 reddit posts
10 mentions
#25
Algorithms for DNA Sequencing
We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data.
Johns Hopkins University
Ben Langmead, PhD
0 reddit posts
10 mentions
#26
Python for Genomic Data Science
This class provides an introduction to the Python programming language and the iPython notebook.
Johns Hopkins University
Mihaela Pertea, PhD
0 reddit posts
11 mentions
#27
Rails with Active Record and Action Pack
You already know how to build a basic web application with the Ruby on Rails framework.
Johns Hopkins University
Kalman Hazins
0 reddit posts
12 mentions
#28
Ruby on Rails Web Services and Integration with MongoDB
In this course, we will explore MongoDB, a very popular NoSQL database and Web Services concepts and integrate them both with Ruby on Rails.
Johns Hopkins University
Kiran Chittargi
0 reddit posts
10 mentions
#29
Developing Data Products
A data product is the production output from a statistical analysis.
Johns Hopkins University
Brian Caffo, PhD
0 reddit posts
6 mentions
#30
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.
Johns Hopkins University
Steven Salzberg, PhD
0 reddit posts
7 mentions
#31
Genomic Data Science with Galaxy
Learn to use the tools that are available from the Galaxy Project.
Johns Hopkins University
James Taylor, PhD
0 reddit posts
6 mentions
#32
Bioconductor for Genomic Data Science
Learn to use tools from the Bioconductor project to perform analysis of genomic data.
Johns Hopkins University
Kasper Daniel Hansen, PhD
0 reddit posts
6 mentions
#33
Statistics for Genomic Data Science
An introduction to the statistics behind the most popular genomic data science projects.
Johns Hopkins University
Jeff Leek, PhD
0 reddit posts
6 mentions
#34
The Unix Workbench
Unix forms a foundation that is often very helpful for accomplishing other goals you might have for you and your computer, whether that goal is running a business, writing a book, curing disease, or creating the next great app.
Johns Hopkins University
Sean Kross
0 reddit posts
7 mentions
#35
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.
Johns Hopkins University
Liliana Florea, PhD
0 reddit posts
5 mentions
#36
Managing Data Analysis
This one-week course describes the process of analyzing data and how to manage that process.
Johns Hopkins University
Jeff Leek, PhD
0 reddit posts
4 mentions
#37
Principles of fMRI 1
This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data.
Johns Hopkins University
Martin Lindquist, PhD, MSc
0 reddit posts
4 mentions
#38
Chemicals and Health
This course covers chemicals in our environment and in our bodies and how they impact our health.
Johns Hopkins University
Dr. Megan Weil Latshaw, PhD
1 reddit posts
4 mentions
#39
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.
Johns Hopkins University
Roger D. Peng, PhD
0 reddit posts
3 mentions
#40
Systems Science and Obesity
Systems science has been instrumental in breaking new scientific ground in diverse fields such as meteorology, engineering and decision analysis.
Johns Hopkins University
Jessica Jones-Smith
2 reddit posts
0 mentions
#41
Advanced Linear Models for Data Science 1
Least Squares
Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares.
Johns Hopkins University
Brian Caffo, PhD
0 reddit posts
2 mentions
#42
Building Data Visualization Tools
The data science revolution has produced reams of new data from a wide variety of new sources.
Johns Hopkins University
Roger D. Peng, PhD
0 reddit posts
2 mentions
#43
Advanced R Programming
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
0 reddit posts
2 mentions
#44
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.
Johns Hopkins University
Jeff Leek, PhD
0 reddit posts
1 mentions
#45
Advanced Linear Models for Data Science 2
Statistical Linear Models
Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models.
Johns Hopkins University
Brian Caffo, PhD
0 reddit posts
1 mentions
#46
Building R Packages
Writing good code for data science is only part of the job.
Johns Hopkins University
Roger D. Peng, PhD
0 reddit posts
1 mentions
#47
Building a Data Science Team
Data science is a team sport.
Johns Hopkins University
Jeff Leek, PhD
0 reddit posts
1 mentions
#48
Reducing Gun Violence in America
Evidence for Change
Reducing Gun Violence in America: Evidence for Change is designed to provide learners with the best available science and insights from top scholars across the country as well as the skills to understand which interventions are the most effective to offer a path forward for reducing gun violence in ...
Johns Hopkins University
Daniel W. Webster, ScD, MPH
4 reddit posts
30 mentions
#49
Introduction to Systematic Review and Meta-Analysis
We will introduce methods to perform systematic reviews and meta-analysis of clinical trials.
Johns Hopkins University
Tianjing Li, MD, MHS, PHD
0 reddit posts
2 mentions
#50
Principles of fMRI 2
This course covers the analysis of Functional Magnetic Resonance Imaging (fMRI) data.
Johns Hopkins University
Martin Lindquist, PhD, MSc
0 reddit posts
1 mentions
#51
Public Health in Humanitarian Crises 1
This course, Public Health in Humanitarian Crises 1, introduces discussions about the public health approach to problems experienced by people affected by disasters, both natural and related to conflict.
Johns Hopkins University
Gilbert Burnham, MD
1 reddit posts
0 mentions
#52
Mathematical Biostatistics Boot Camp 2
Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.
Johns Hopkins University
Brian Caffo, PhD
0 reddit posts
2 mentions
#53
Fundamental Neuroscience for Neuroimaging
Neuroimaging methods are used with increasing frequency in clinical practice and basic research.
Johns Hopkins University
Arnold Bakker
0 reddit posts
5 mentions
#54
Introduction to the Biology of Cancer
Over 500,000 people in the United States and over 8 million people worldwide are dying every year from cancer.
Johns Hopkins University
Kenneth J. Pienta, M.D.
0 reddit posts
1 mentions
#55
Design and Interpretation of Clinical Trials
Clinical trials are experiments designed to evaluate new interventions to prevent or treat disease in humans.
Johns Hopkins University
Janet Holbrook, PhD, MPH
0 reddit posts
1 mentions
#56
Biostatistics in Public Health Specialization
This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer.
Johns Hopkins University
John McGready, PhD, MS
0 reddit posts
1 mentions
#57
Epidemiology in Public Health Practice Specialization
This specialization is intended for people working or aspiring to work in the field of public health at the local, regional, and national level.
Johns Hopkins University
Aruna Chandran, MD, MPH
1 reddit posts
2 mentions
#58
Disease Clusters
Do a lot of people in your neighborhood all seem to have the same sickness? Are people concerned about high rates of cancer? Your community may want to explore the possibility of a disease cluster, which happens when there is a higher number of cases of disease than expected.
Johns Hopkins University
Dr. Megan Weil Latshaw, PhD
0 reddit posts
1 mentions
#59
An Introduction to the U.S. Food System
Perspectives from Public Health
A food system encompasses the activities, people and resources involved in getting food from field to plate.
Johns Hopkins University
Keeve Nachman, PhD, MHS
0 reddit posts
4 mentions
#60
Confronting Gender Based Violence
Global Lessons for Healthcare Workers
This course introduces participants from the healthcare sector to gender based violence (GBV), including global epidemiology of GBV; health outcomes; seminal research; and clinical best practices for GBV prevention, support, and management.
Johns Hopkins University
Michele Decker, ScD, MPH
0 reddit posts
3 mentions