Probability

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Mathematical understanding of uncertainty (edX)

Jul 5th 2022
Mathematical understanding of uncertainty (edX)
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This lecture series discusses how the concept of probability can be used to handle, control, and exploit uncertainty in the real-world. It is an undergraduate-level lecture series on probability, but is entirely different from the usual courses on probability theory.

Introductory Statistics : Basic Ideas and Instruments for Statistical Inference (edX)

This course utilizes real-life applications of Statistics in an exploration of the Statistical Inferenceprocess. Statistical Inference is the process by which data is used to draw a conclusionoruncover ascientific truthabout a population from asample. This course aims to familiarize the student with several ideas and instruments for statistical inference. [...]

Introductory Statistics : Sample Survey and Instruments for Statistical Inference (edX)

The purpose of this course is to introduce basic concepts of sample surveys and to teach statistical inference process using real-life examples. In this course, you will learn about sample surveys with the concepts of samples and populations. In addition, we will discuss possible problems(bias) of the surveys based [...]

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.

Probability Theory: Foundation for Data Science (Coursera)

Understand the foundations of probability and its relationship to statistics and data science. We’ll learn what it means to calculate a probability, independent and dependent outcomes, and conditional events. We’ll study discrete and continuous random variables and see how this fits with data collection. We’ll end [...]

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)

Jul 4th 2022
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)

Jul 4th 2022
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 [...]

What are the Chances? Probability and Uncertainty in Statistics (Coursera)

Jul 4th 2022
What are the Chances? Probability and Uncertainty in Statistics (Coursera)
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This course focuses on how analysts can measure and describe the confidence they have in their findings. The course begins with an overview of the key probability rules and concepts that govern the calculation of uncertainty measures. We’ll then apply these ideas to variables (which are the [...]

Data – What It Is, What We Can Do With It (Coursera)

This course introduces students to data and statistics. By the end of the course, students should be able to interpret descriptive statistics, causal analyses and visualizations to draw meaningful insights. The course first introduces a framework for thinking about the various purposes of statistical analysis. We’ll talk [...]