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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...
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 explores algorithms for mining and analyzing big text data to discover interesting patterns, extract useful knowledge, and support decision making.
This online course explores how to analyze data in Python, using multi-dimensional arrays in numpy, manipulating DataFrames in pandas, using SciPy library of mathematical...
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 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 is the first step of the Clinical Data Science Specialization. The course will teach learners how data is gathered, how data is formed, as well as basic SQL...
This course gives an introduction to computer science and programming. Students will learn about: notions of computation, the Python programming language, some simple...
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 course is an introduction to least squares from a linear algebraic and mathematical perspective.
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 gives an introduction to genomic data science. The course explores DNA replication, analyzing algorithms to look for hidden messages in the genome. It also...
This online course explores how to build and incorporate ethical frameworks in AI and Big Data technology and business initiatives to add transparency, build trust, and drive...
This course is an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and...
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 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 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 teaches how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems.
This course focused on ethics specifically related to data science will provide students with the framework to analyze these concerns. This framework is based on ethics, which...
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...
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...
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