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This series of MOOCs covers R software development for building data science tools. It helps participants to learn modern software development practices to build tools that are...
This course will introduce open source tools used for parallel, distributed and scalable machine learning. After completing this course’s hands-on projects with KNIME 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...
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 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 gives an introduction to Excel for data analysis. It includes cleaning and preparing data, automating data analysis, and transforming, linking, and...
This online course explores how to perform data analysis using MongoDB's Aggregation Framework.
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...
This online course series gives an introduction to data science. The courses cover the concepts and tools needed throughout the entire data science pipeline. It covers topics...
This online course explores the ethical considerations regarding the privacy and control of consumer information and big data.
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 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 covers the essential exploratory techniques for summarizing data. It will cover in detail the plotting systems in R as well as some of the basic principles of...
This online course program explores how data analysis and data science can be applied to social science. It is designed to be a multidisciplinary, multi-perspective, and...
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 online course program gives an introduction to clinical data science. It uses statistics and programming to provide examples of specific challenges, tools, and...
This is a focused course designed to rapidly get participants up to speed on doing data science in real life. It includes eg. describing possible pitfalls when pulling /...
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 covers the basics of creating data products using Shiny, R packages, and interactive graphics. The course will focus on the statistical fundamentals of creating a...
This online course series prepares learners to use the IBM AI Enterprise Workflow that enables data scientists to build AI solutions, starting with business priorities and...
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