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This online course gives a first introduction to Data Science. It includes an overview of the following topics:Data ManipulationData Analysis with Statistics and Machine...
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This online course explores how to perform data analysis using MongoDB's Aggregation Framework.
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...
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 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...
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 applied computer science MOOC teaches the vocabulary, concepts and mechanisms common to all digital networks, and explores the TCP, UDP and IP protocols that support all...
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 course will provide an overview of many concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering.
This course explores algorithms for mining and analyzing big text data to discover interesting patterns, extract useful knowledge, and support decision making.
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 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...
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 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 bridges accountancy to analytics. It is designed to help accounting students develop an analytical mindset and prepare them to use tools and programming...
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 features a real-world case study. In response to business requirements presented in a case study, students will design and build a small data warehouse, create data...
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...
In this course, students will learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems.
This online 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.
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...
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