Hypothesis Testing Courses and Certifications

Career Certificate

Statistics with Python

3350 ratings at Coursera

Learn statistical analysis using Python, from data collection and visualization to advanced modeling, enhancing your ability to answer research questions with data-driven insights.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Career Certificate

Biostatistics in Public Health

2446 ratings at Coursera

Comprehensive biostatistics primer for healthcare professionals, equipping learners to interpret scientific literature and participate in research teams across public health and related fields.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Data Analyst in Python

Develop your data analytics skills in Python. Gain the data analyst skills to manipulate, analyze, and visualize data. No coding experience required!

• DataCamp
• 1 day 12 hours
• Self-Paced
• Free Trial Available

Introduction to Statistics

Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Statistical Thinking in Python (Part 2)

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Data Literacy Professional

From understanding to data storytelling - gain valuable Data Literacy Skills to tackle the toughest data challenges.

• DataCamp
• 15 hours
• Self-Paced
• Free Trial Available

Introduction to Statistics in Google Sheets

Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Data Analyst in R

From exploratory data analysis with dplyr to data visualization with ggplot2—gain the career-building R skills you need to succeed as a data analyst!

• DataCamp
• 1 day 12 hours
• Self-Paced
• Free Trial Available

Foundations of Inference in R

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Statistics Fundamentals in Python

Confidently learn to calculate statistics and probability, evaluate statistical models, and draw conclusions from hypothesis tests.

• DataCamp
• 20 hours
• Self-Paced
• Free Trial Available

Statistics Fundamentals in R

Discover the power of statistics in R. Learn the key statistical concepts, topics, and techniques used by data scientists and statisticians every day.

• DataCamp
• 20 hours
• Self-Paced
• Free Trial Available

Case Studies in Statistical Thinking

Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Introduction to A/B Testing in R

Learn A/B testing: including hypothesis testing, experimental design, and confounding variables.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Inference for Categorical Data in R

In this course you'll learn how to leverage statistical techniques for working with categorical data.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Performing Experiments in Python

Learn about experimental design, and how to explore your data to ask and answer meaningful questions.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available