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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 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 /...
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 teach its students how to start from scratch in answering questions about the real world using data. The model building process involves setting up ways of...
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 teaches how to manage, describe, summarize and visualize data. Students will choose a research question based on available data and engage in the early decisions...
In this course, students will learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems.
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 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 teaches how to transform information from a format efficient for computation into a format efficient for human perception, cognition, and communication and explores...
This MOOC teaches some advanced Excel skills - including index formulas, logical text and nested functions. It also explores data connections to external databases, and Visual...
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 will provide a crash course in what data science and big data mean and how they play a role in successful organizations
This course explores algorithms for mining and analyzing big text data to discover interesting patterns, extract useful knowledge, and support decision making.
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...
Through this course, students learn how to go through the entire data analysis process.
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...
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 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 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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