Statistical Hypothesis Testing

Sort options

Hypothesis Testing with Python and Excel (Coursera)

In today's job market, leaders need to understand the fundamentals of data to be competitive. An essential procedure to understand business and analytics is hypothesis testing. This short course, designed by Tufts University expert faculty, will teach the fundamentals of hypothesis testing of a population mean and a population [...]

Introduction to Data Science and scikit-learn in Python (Coursera)

Jul 4th 2022
Introduction to Data Science and scikit-learn in Python (Coursera)
Course Auditing
Categories
Effort
Languages
This course will teach you how to leverage the power of Python and artificial intelligence to create and test hypothesis. We'll start for the ground up, learning some basic Python for data science before diving into some of its richer applications to test our created hypothesis. We'll learn some [...]

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

Jul 4th 2022
What are the Chances? Probability and Uncertainty in Statistics (Coursera)
Course Auditing
Categories
Effort
Languages
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 [...]

Hypothesis Testing in Public Health (Coursera)

Biostatistics is an essential skill for every public health researcher because it provides a set of precise methods for extracting meaningful conclusions from data. In this second course of the Biostatistics in Public Health Specialization, you'll learn to evaluate sample variability and apply statistical hypothesis testing [...]

Statistical Thinking for Industrial Problem Solving, presented by JMP (Coursera)

Statistical Thinking for Industrial Problem Solving is an applied statistics course for scientists and engineers offered by JMP, a division of SAS. By completing this course, students will understand the importance of statistical thinking, and will be able to use data and basic statistical methods to solve many real-world [...]

Inferential Statistical Analysis with Python (Coursera)

In this course, we will explore basic principles behind using data for estimation and for assessing theories. We will analyze both categorical data and quantitative data, starting with one population techniques and expanding to handle comparisons of two populations. We will learn how to construct confidence intervals. We will [...]

Data Analysis Tools (Coursera)

In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or [...]

Statistical Inference (Coursera)

Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and [...]

Data and Statistics Foundation for Investment Professionals (Coursera)

Aimed at investment professionals or those with investment industry knowledge, this course offers an introduction to the basic data and statistical techniques that underpin data analysis and lays an essential foundation in the techniques that are used in big data and machine learning. It introduces the topics and gives [...]

Statistics for Marketing (Coursera)

Jun 27th 2022
Statistics for Marketing (Coursera)
Course Auditing
Categories
Effort
Languages
This course takes a deep dive into the statistical foundation upon which Marketing Analytics is built. The first part of this course is all about getting a thorough understanding of a dataset and gaining insight into what the data actually means. The second part of this course [...]