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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, [...]

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 [...]

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)

May 20th 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 [...]

Defining, Describing, and Visualizing Data (Coursera)

As leaders in your chosen field, you need to not only know how to ask the right questions but also answer them using data-based methods. Through this class, you will be able to get to the bottom of what you really want to know, describe the associated data related [...]

Topics in Applied Econometrics (Coursera)

In this course, you will discover models and approaches that are designed to deal with challenges raised by the empirical econometric modelling and particular types of data.

Simulation Models for Decision Making (Coursera)

This course is primarily aimed at third- and fourth-year undergraduate students or graduate students interested in learning simulation techniques to solve business problems. The course will introduce you to take everyday and complex business problems that have no one correct answer due to uncertainties that exist in business environments. [...]

Introduction to Bayesian Statistics (Coursera)

May 20th 2024
Introduction to Bayesian Statistics (Coursera)
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The objective of this course is to introduce Computational Statistics to aspiring or new data scientists. The attendees will start off by learning the basics of probability, Bayesian modeling and inference. This will be the first course in a specialization of three courses .Python and Jupyter notebooks will be [...]

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

May 20th 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 [...]