Statistical Analysis Courses and Certifications

Hypothesis Testing in R

34 ratings at DataCamp

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

pandas Foundations

Learn how to use the industry-standard pandas library to import, build, and manipulate DataFrames.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Introduction to Alteryx

14 ratings at DataCamp

Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.

• DataCamp
• 2 hours
• On-Demand
• Free Trial Available

A/B Testing for Business Analysts

6 ratings at Udacity

Master A/B testing fundamentals, randomized and matched-pair designs to analyze business experiments and make data-driven decisions effectively.

• Udacity
• 5 hours
• On-Demand
• Free Online Course

Data Analyst in Tableau

Master Tableau for data analysis and develop your skills in one of the world’s most popular BI tools. No prior experience is required.

• DataCamp
• 1 day 18 hours
• On-Demand
• 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
• On-Demand
• Free Trial Available

HR Analytics: Exploring Employee Data in R

Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.

• DataCamp
• 5 hours
• On-Demand
• Free Trial Available

A/B Testing in Python

Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

• DataCamp
• 4 hours
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Trial Available

Designing and Analyzing Clinical Trials in R

In this course you will gain an overview clinical trial designs, determine the numbers of patients needed and conduct statistical analyses.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Applied Statistics in Python

Explore Python-based statistical analysis to gain essential decision-making skills such as A/B testing and Bayesian models.

• DataCamp
• 16 hours
• On-Demand
• Free Trial Available

Tidyverse Fundamentals in R

Import and tidy data, wrangle and visualize data, and model and communicate with data in R with the tidyverse.

• DataCamp
• 20 hours
• On-Demand
• Free Trial Available

A/B Testing in R

Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Data Analysis With Python

2 ratings at Corporate Finance Institute

Build a complete data analysis workflow in Python by loading, cleaning, analyzing, and visualizing real-world data using NumPy, Pandas, Matplotlib, and Seaborn

• Corporate Finance Institute
• 2 hours 53 minutes
• On-Demand
• Paid Course