This course introduces the fundamentals of probability theory and its application to data science. Learn how to use random variables, independence, Monte Carlo simulations, expected values, standard errors, and the Central Limit Theorem to analyze data affected by chance. Gain the skills to conduct statistical tests and understand the risk of securities sold by financial institutions. This course is essential for data scientists and online learners.
Statistics and R
3.5
Edx2,803 learners
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This course teaches the R programming language in the context of statistical data and statistical analysis in the life sciences. We will learn the basics of statistical inference, analyze data with R code, use visualization techniques, and describe robust statistical techniques. The course is divided into seven parts, with topics ranging from simple calculations and descriptive statistics to advanced software engineering skills. We provide R programming examples to help make the connection between concepts and implementation. This course is self-paced and is part of two Professional Certificates.
Combining and Analyzing Complex Data
2.5
Coursera0 learners
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This course will teach you how to combine and analyze complex data using survey weights, linear and logistic regressions, record linkage, and statistical matching. You will learn how to use R® software to estimate descriptive statistics and model parameters. Additionally, the course will cover ethical issues related to combining datasets, such as obtaining informed consent from individuals. By the end of the course, you will have the skills to effectively analyze complex data.
Data Analysis: Statistical Modeling and Computation in Applications
5.0
ThaiMOOC621 learners
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This course provides learners with the skills to analyze data and answer questions using real data. It covers foundational and practical skills such as hypothesis testing, regression, gradient descent methods, and domain knowledge. Learners will study common models and methods to analyze data in four different domain areas, and present their findings in written reports. This course is part of the MITx MicroMasters Program in Statistics and Data Science. Master the skills needed to be an effective practitioner of data science.
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