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This online course (MOOC) teaches the basic building blocks of R.
Visualization is the field of research in computer science that studies effective communication of quantitative results by linking perception, cognition, and algorithms to...
This online course program shows how to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets.
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 online course explores advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include...
This online course gives an introduction to deep learning (DL) methods, healthcare data and applications using DL methods.
This online course teaches Python and covers web, databases, web scraping, data science, web visualizations, image processing and more.
This online course gives an introduction to the fundamentals of SQL and teaches how to work with data. No prior SQL experience needed.
This online course gives an introduction to linear algebra, which is used in applications such as statistics and data science.
This course gives an introduction to computer science and programming. Students will learn about: notions of computation, the Python programming language, some simple...
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 teaches data science techniques for professionals and students - learn the theory behind logistic regression and code in Python.
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 online course program gives an introduction to the Python programming language and its application in practical data science projects. Participants should already have a...
This course is an introduction to least squares from a linear algebraic and mathematical perspective.
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 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 the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in...
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