Hypothesis Testing

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Data Analysis Tools (Coursera) Coursera
Wesleyan University

Data Analysis Tools (Coursera)

Embark on a journey to master the art and science of data analysis with our Data Analysis Tools course on Coursera. This course is designed for learners who want to delve into statistical testing, hypothesis formulation, and application of various analytical techniques such as ANOVA, Chi-Square tests, and Pearson correlation analysis using either SAS or Python. Whether you're a beginner looking to build foundational skills or an intermediate analyst aiming to refine your abilities, this course offers the tools and knowledge needed to transform raw data into actionable insights.

Sep 7th 2026
4 Weeks
Business Applications of Hypothesis Testing and Confidence Interval Estimation (Coursera) Coursera
Rice University

Business Applications of Hypothesis Testing and Confidence Interval Estimation (Coursera)

Dive into the world of Business Statistics with our advanced course on Confidence Intervals and Hypothesis Testing. Gain essential skills that will empower you to make informed decisions, quantify risks, and understand the nuances of statistical analysis as applied to real-world business scenarios. This course is perfect for those looking to elevate their analytical capabilities in a business context.

Sep 7th 2026
4 Weeks
Inferential Statistical Analysis with Python (Coursera) Coursera
University of Michigan

Inferential Statistical Analysis with Python (Coursera)

Discover the power of Python in understanding data through inferential statistics. This course will guide you from basic principles to advanced techniques for analyzing both categorical and quantitative data, comparing populations, constructing confidence intervals, and testing theories using sample data. Perfect for beginners and professionals alike who want to harness the potential of statistical analysis with Python.

Sep 7th 2026
4 Weeks
Exploratory Data Analysis for Machine Learning (Coursera) Coursera
IBM

Exploratory Data Analysis for Machine Learning (Coursera)

Embark on a journey into the world of Machine Learning with this foundational course designed to equip you with essential skills in data preparation and exploration. From data retrieval to cleaning and feature engineering, this course lays down the groundwork necessary for preliminary analysis and hypothesis testing, setting the stage for advanced machine learning applications.

Sep 7th 2026
2 Weeks
What are the Chances? Probability and Uncertainty in Statistics (Coursera) Coursera
Johns Hopkins University

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

Dive deep into the world of statistics with 'What are the Chances? Probability and Uncertainty in Statistics'. This course unravels the complexities of probability theory and its application to statistical analysis, enabling you to confidently measure and communicate uncertainty. From understanding basic probability rules to conducting hypothesis tests and interpreting regression results, this course equips you with essential skills for analyzing data effectively.

Sep 7th 2026
4 Weeks
Probability and Statistics IV: Confidence Intervals and Hypothesis Tests (edX) EdX
Georgia Institute of Technology,GTx

Probability and Statistics IV: Confidence Intervals and Hypothesis Tests (edX)

Dive into the world of statistical analysis with our Probability and Statistics IV course, where you'll learn essential methodologies like constructing confidence intervals and conducting hypothesis tests. Gain the skills needed to make reliable predictions and validate research hypotheses effectively.

Self Paced
Self-Paced
UX Data Analysis (edX) EdX
HECMontrealX,HEC Montréal

UX Data Analysis (edX)

Embark on a journey to become a UX data scientist with this comprehensive edX course. Dive deep into the world of data analysis, mastering both qualitative research methods and advanced Web analytics techniques. Gain the skills needed to extract valuable insights from user interactions and big data sets, enabling you to make informed recommendations that enhance user experience.

Self Paced
Self-Paced