Hypothesis Testing

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Statistics (edX) EdX
Delft University of Technology,DelftX

Statistics (edX)

Discover the essential concepts of bachelor-level statistics with our engaging online course. Learn to analyze and interpret data through descriptive and inferential methods, all while utilizing the powerful statistical software package R on actual datasets. Whether you're a student looking for a strong foundation or a professional aiming to enhance your analytical skills, this course is designed to equip you with a solid understanding of statistics.

Self Paced
Self-Paced
Statistics Fundamentals Proctored Exam (edX) EdX
The London School of Economics and Political Science,LSE

Statistics Fundamentals Proctored Exam (edX)

Dive into the core principles of statistics with edX's comprehensive Statistics Fundamentals Proctored Exam course. This program is designed to test your understanding and application of statistical concepts, serving as a stepping stone towards further academic pursuits or enhancing your professional skills in data-driven roles.

Self Paced
Self-Paced
Customer Data Analytics for Marketers (Coursera) Coursera
University of Colorado Boulder

Customer Data Analytics for Marketers (Coursera)

Dive into Customer Data Analytics for Marketers, a course that equips you with the skills to transform raw data into actionable insights. Perfect for those in the marketing field, this program explores correlation and causality, statistical analysis, and how to apply these tools to enhance your marketing strategies effectively.

Sep 7th 2026
4 Weeks
Data Collection and Root Cause Analysis (Coursera) Coursera
SkillUp EdTech

Data Collection and Root Cause Analysis (Coursera)

Embark on a journey towards becoming an adept process improvement specialist with our Data Collection and Root Cause Analysis course. Designed for those aiming to pass the ASQ Certified Six Sigma Yellow Belt exam, this course provides you with the necessary tools and techniques to effectively collect data, analyze it, identify root causes of problems, and implement solutions that lead to sustained improvements in your workplace.

Sep 7th 2026
4 Weeks
Hypotheses Testing in Econometrics (Coursera) Coursera
Queen Mary University of London

Hypotheses Testing in Econometrics (Coursera)

Dive into the world of econometrics with our comprehensive 'Hypotheses Testing in Econometrics' course. This course will equip you with the skills needed to use parameters recovered under the Classical Linear Regression Model for hypothesis testing, even in uncertain contexts. Gain a deeper understanding of statistical significance and its application in real-world economic scenarios.

Jan 13th 2025
4 Weeks
Data and Statistics Foundation for Investment Professionals (Coursera) Coursera
CFA Institute

Data and Statistics Foundation for Investment Professionals (Coursera)

Dive into the world of data and statistics as you build a strong foundation crucial for investment success. This course is tailored for professionals in the investment industry, providing an introduction to key analytical techniques used in big data and machine learning applications within finance. Learn how to effectively present your findings through compelling visualizations and reports.

Feb 5th 2024
5-12 Weeks
Data Analysis for Social Scientists (edX) EdX
MIT,MITx

Data Analysis for Social Scientists (edX)

Dive into 'Data Analysis for Social Scientists' - an edX course that equips you with the skills needed to harness and analyze data to answer critical questions in your field. From understanding probability to mastering advanced statistical methods, this course is tailored for those interested in cultural, social, economic, and policy analysis.

Oct 5th 2021
5-12 Weeks
Introduction to Statistics (Stepik) Stepik
Bioinformatics Institute

Introduction to Statistics (Stepik)

Embark on a four-week journey into the fundamentals of statistics with our 'Introduction to Statistics' course on Stepik. Whether you're new to data analysis or looking to refine your skills, this course offers an in-depth exploration of key statistical methods and concepts that are crucial for interpreting and analyzing data effectively.

Self-paced
Self-Paced