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Search engines are essential tools for managing and mining big text data. This course teaches how search engines work, the major search algorithms, and how to optimize search...

This online course explores advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include...

This course gives a broad overview of the field of graph analytics to learn new ways to model, store, retrieve and analyze graph-structured data.

This online course series explores how to make accurate predictions with data-driven systems and deploy machine learning models using the Python programming language.

In this course, students will learn how to identify new opportunities to create value for empowered consumers, develop strategies that yield an advantage over rivals, and...

This online course gives an introduction to Excel for data analysis. It includes cleaning and preparing data, automating data analysis, and transforming, linking, and...

How do we infer which genes orchestrate various processes in the cell? How did humans migrate out of Africa and spread around the world? In this class these two seemingly...

This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various...

This class will cover an introduction to command line tools for managing genomic data. It will start with basic Unix commands for managing files and directories, followed by a...

This online course focuses on writing good code for data science. This course covers the primary means by which R software is organized and distributed.

This course focuses on data science in real life. It will contrast the ideal with what happens in real life. By contrasting the ideal, students will learn key concepts that will...

This course will provide an overview of many concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering.

This master’s program is designed to give a broad array of professionals the necessary skills to further a career in data science.

This course teaches how to identify the right statistical test for the questions asked - apply and carry out hypothesis tests - generalize the results from samples to larger...

This online course explores how to perform data analysis using MongoDB's Aggregation Framework.

This course is 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...

This course teaches how 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...

This online course bridges accountancy to analytics. It is designed to help accounting students develop an analytical mindset and prepare them to use tools and programming...

This course teaches the general concepts of data mining along with basic methodologies and applications. Then dives into one subfield in data mining: pattern discovery. It...

This course teaches how to take scattered data and organize it into groups for use in many applications, such as market analysis and biomedical data analysis, or as a...