A data product is the production output from a statistical analysis. Data products automate complex analysis tasks or use technology to expand the utility of a data infor...
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 Scien...
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 U...
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 t...
This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and mo...
Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions. Regression models, a subset of linear models, are th...
Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including stati...
We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. We will learn a little about DNA, genomics, and how DNA sequen...
One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building a...
This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform ...
Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, fr...
In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools th...
In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a stati...
Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This class is an introduction to least squares from a linear algebraic and mathematical per...
By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role...
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 ...
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 s...
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 t...
This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and mo...
Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions. Regression models, a subset of linear models, are th...
One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building a...
This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform ...
Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, fr...
In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools th...
In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a stati...
Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This class is an introduction to least squares from a linear algebraic and mathematical per...
By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role...
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 ...
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 s...
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