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This online course teaches how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems.
This online course gives an introduction to data science. It explores one of the most internationally-recognized processes for solving data-science problems.
This MOOC gives an introduction to Python and includes data analysis techniques.
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 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 explores advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include...
This course discusses the basic biology of modern genomics and the experimental tools used for measurement. This is the first course in the Genomic Big Data Science Specialization.
This online course gives an introduction to least squares from a linear algebraic and mathematical perspective. The course is for students who already have had a class in...
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 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 course covers intermediate topics in data science. Students will gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and...
This series of online courses (MOOCs) teaches Data Science using the Python programming language.The courses explore how to apply statistical, machine learning, information...
This online course teaches how to to create machine learning algorithms in Python and R.
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 short online course gives an overview of open source tools for data science, such as Jupyter Notebooks, RStudio IDE, Apache Zeppelin and Data Science Experience.
This online course program aims to provide business leaders and managers with strategies and guidelines for how best to solve the various challenges of building data science...
This series of 6 individual MOOCs gives an introduction to Big Data for beginners (no prior experience required). With these online courses, participants will develop a robust...
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 program aims to teach learners the skills required for an entry level data analyst role. It includes a variety of data sources, project scenarios, and data...
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...
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