Johns Hopkins University
Johns Hopkins enrolls more than 24,000 full- and part-time students throughout nine academic divisions. Our faculty and students study, teach, and learn across more than 400 programs in the arts and music, the humanities, the social and natural sciences, engineering, international studies, education, business, and the health professions.
Resources from Johns Hopkins University
Developing Data Products
Developing Data Products is course 9 of 10 in the Data Science Specialization. Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need throu...
HTML, CSS, and Javascript for Web Developers
About this Course 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...
Introduction to Systematic Review and Meta-Analysis
We will introduce methods to perform systematic reviews and meta-analysis of clinical trials. We will cover how to formulate an answerable research question, define inclusion and exclusion criteria, search for the evidence, extract data, assess the r...
Statistical Reasoning for Public Health 1: Estimation, Inference, & Interpretation
A conceptual and interpretive public health approach to some of the most commonly used methods from basic statistics....
Managing Data Analysis
This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling...
Data Science in Real Life
Have you ever had the perfect data science experience? The data pull went perfectly. There were no merging errors or missing data. Hypotheses were clearly defined prior to analyses. Randomization was performed for the treatment of interest. The analy...
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. This is the fourth course in the Genomic Big Data Science Specialization from Johns Hopkins University....
Exploratory Data Analysis
This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are a...
Statistics for Genomic Data Science
An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University....
Bioconductor for Genomic Data Science
Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University....
Capstone: Photo Tourist Web Application
In this Capstone project for the Photo Tourist you will implement a Ruby on Rails web application that makes use of both a relational and NoSQL database for the backend and expose the data through services to the Internet using Web services and a res...
The Data Scientist’s Toolbox
The Data Scientist’s Toolbox is course 1 of 10 in the Data Science Specialization. Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need t...