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Mathematical Methods for Quantitative Finance (edX)

Jun 26th 2024
Mathematical Methods for Quantitative Finance (edX)
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Learn the mathematical foundations essential for financial engineering and quantitative finance: linear algebra, optimization, probability, stochastic processes, statistics, and applied computational techniques in R. Modern finance is the science of decision making in an uncertain world, and its language is mathematics. As part of the MicroMasters® Program in Finance, [...]

Statistics in Psychological Research (Coursera)

This is primarily aimed at first- and second-year undergraduates interested in psychology, statistics, data analysis, and research methods along with high school students and professionals with similar interests.

Data Driven Decision Making (Coursera)

Once we have generated data, we need to answer the research question by performing an appropriate statistical analysis. Engineers and business professionals need to know which test or tests to use. Through this class, you will be able to perform one sample tests for comparison to historical data. You [...]

Trees, SVM and Unsupervised Learning (Coursera)

"Trees, SVM and Unsupervised Learning" is designed to provide working professionals with a solid foundation in support vector machines, neural networks, decision trees, and XG boost. Through in-depth instruction and practical hands-on experience, you will learn how to build powerful predictive models using these techniques and understand the advantages [...]

Probability & Statistics for Machine Learning & Data Science (Coursera)

Mathematics for Machine Learning and Data science is a foundational online program created in by DeepLearning.AI and taught by Luis Serrano. This beginner-friendly program is where you’ll master the fundamental mathematics toolkit of machine learning.

The Power of Statistics (Coursera)

Mar 25th 2024
The Power of Statistics (Coursera)
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This is the fourth of seven courses in the Google Advanced Data Analytics Certificate. In this course, you’ll discover how data professionals use statistics to analyze data and gain important insights. You'll explore key concepts such as descriptive and inferential statistics, probability, sampling, confidence intervals, and hypothesis testing. You'll [...]

Bayesian Statistics: Time Series Analysis (Coursera)

This course for practicing and aspiring data scientists and statisticians. It is the fourth of a four-course sequence introducing the fundamentals of Bayesian statistics. It builds on the course Bayesian Statistics: From Concept to Data Analysis, Techniques and Models, and Mixture models.

Math for MBA and GMAT Prep (Coursera)

Mar 25th 2024
Math for MBA and GMAT Prep (Coursera)
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This course gives participants a basic understanding of statistics as they apply in business situations. A fair share of students considering MBA programs come from backgrounds that do not include a large amount of training in mathematics and statistics. Often, students find themselves at a disadvantage when they apply [...]

The Measure Phase for the 6 σ Black Belt (Coursera)

Mar 25th 2024
The Measure Phase for the 6 σ Black Belt (Coursera)
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This course is designed for professionals interested in learning the principles of Lean Sigma, the DMAIC process and DFSS. This course is number 4 of 8 in this specialization dealing with topics in the Measure Phase of Six Sigma. Professionals with some completed coursework in statistics and a [...]

Introduction to Statistics (Coursera)

Stanford's "Introduction to Statistics" teaches you statistical thinking concepts that are essential for learning from data and communicating insights. By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts. You [...]