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This online course explores Spark and Scala for Big Data applications, including Spark 2.0 DataFrames.
This online course teaches data science techniques for professionals and students - learn the theory behind logistic regression and code in Python.
This online course program gives an introduction to the mathematical foundations for Data Science. It includes key concepts in algebra, calculus, linear algebra, and numerical...
This series of online courses covers the fundamentals of surveys as used in market research, evaluation research, social science and political research, official government...
This online course teaches how to use the R programming language for data science and machine learning and data visualization.
This online course program gives an introduction to data analysis. It includes working with a variety of data sources, project scenarios, and data analysis tools, including...
This MOOC teaches about probability distribution models, including normal distribution, and continuous random variables to prepare participants for a career in information and...
This series of online courses explores the fundamental building blocks of data science, including statistics, data analysis, data visualization, programming with SQL and Python,...
These short online courses provided by Skillshare cover various topics around business analytics, including data analysis, data science, and data visualization.
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 online course teaches data visualization through Tableau 10 and how to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks.
This online course program shows how to build real-time applications to process big data at scale. It includes modern data engineering tools, such as Apache Spark, Kafka, Spark...
This online course shows how to derive and solve a linear regression model, and apply it appropriately to data science problems.
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