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

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.

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...

Internet search uses textual queries. These are strings from the point of view of computer science. To make sense of all that information and make search efficient, search...

This course covers how to program in R and how to use R for effective data analysis. Students will learn how to install and configure software necessary for a statistical...

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 course covers how to find the right people to fill out a data science team, how to organize them to give them the best chance to feel empowered and successful, and how to...

This course is an introduction to the basic ideas behind the qualitative research in social science. Students will learn about data collection, description, analysis and...

This online course gives an introduction to data science. It explores one of the most internationally-recognized processes for solving data-science problems.

This online course teaches Tableau 10 in data science by solving real-life analytics problems at an expert level.

This online course teaches GRU, LSTM, and more modern deep learning, machine learning, and data science skills. Most of the work will be done in Numpy, Matplotlib, and Theano.

This online course teaches how to to create machine learning algorithms in Python and R.

This online course series gives an introduction to the key skills needed for data science, including probability and statistics, data analysis, and machine learning. Students...

This online course program provides an introduction to topics in single and multivariable calculus, and focuses on using calculus to address questions in the natural and social...

This course teaches how to transform information from a format efficient for computation into a format efficient for human perception, cognition, and communication and explores...

This course series gives an in-depth introduction to Data Analytics.The courses were designed with experts and scientists at leading technology companies to ensure that learners...

The course will teach students how to use computation to accomplish a variety of goals and provides you with a brief introduction to a variety of topics in computational problem...

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