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This online course (MOOC) teaches the basics of statistics.It includes the following topics :Descriptive statistics, i.e. how to describe data: central tendency (mean, median),...
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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 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 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 course covers relevant systems, the principles on which they rely, their tradeoffs, and how to evaluate their utility against one`s requirements. Cloud computing, SQL and...
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...
Statistical experiment design and analytics are at the heart of data science. In this course students will design statistical experiments and analyze the results using modern...
This course provides the foundation needed for a career in database development, data warehousing, or business intelligence, as well as for the entire Data Warehousing for...
Visualization is the field of research in computer science that studies effective communication of quantitative results by linking perception, cognition, and algorithms to...
This course discusses following questions: What’s the “hype” surrounding the Big Data phenomenon? Who are these mysterious data scientists everyone is talking about? What kinds...
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 identify the right statistical test for the questions asked - apply and carry out hypothesis tests - generalize the results from samples to larger...
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 class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from...
Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course...
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 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 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 will provide an overview of many concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering.
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...
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