Statistical Analysis Courses and Certifications

EDUCBA Career Certificate

Apply Statistical Data Analysis with Minitab

Master statistical data analysis with Minitab through hands-on practice, progressing from basics to advanced regression modeling for real-world business applications.

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

BUS204: Business Statistics

Learn statistical analysis techniques for business decision-making, covering probability, distributions, sampling, hypothesis testing, and regression.

• Saylor University
• 53 hours
• Self-Paced
• Free Certificate

Career Certificate

Masters Certificate in Business Analytics and Strategic Marketing

Earn a Masters Certificate in Business Analytics & Strategic Marketing to master data-driven marketing, AI tools, and predictive business strategies.

• Newstate University
• Self-Paced
• Paid Course

MathWorks

Statistics Onramp

Get started using statistical methods for analysis in MATLAB.

• MATLAB Academy
• 1-2 hours
• Self-Paced
• Free Certificate

How to Be a Statistical Detective

Learn to detect statistical errors in medical literature using common sense, arithmetic, and online tools. Improve research quality and address the reproducibility crisis in science.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

Statistical Data Analysis with SAS

818 ratings at Udemy

Understanding the Data Flow in SAS: Learn SAS Programming from Data Importing, Management, Manipulation to Data Analysis

• Udemy
• 4 hours 26 minutes
• Self-Paced
• Paid Course

Text Mining and Analytics

10 ratings

Explore statistical approaches for mining and analyzing text data, covering word associations, topic analysis, clustering, categorization, and sentiment analysis, with practical applications.

• Coursera
• 1 day 9 hours 29 minutes
• Self-Paced
• Paid Course

Introduction to R and Geographical Information Systems (GIS)

Master R programming and GIS fundamentals through hands-on tutorials covering data structures, statistical modeling, and spatial analysis with practical mapping techniques.

• YouTube
• 2 hours 38 minutes
• Self-Paced
• Free Video

Professor Leonard

Statistics Lecture - The Standard Normal Distribution - Using Z-Score, Standard Score

Learn to apply the standard normal distribution, calculate z-scores, and interpret standard scores for practical data analysis and probability calculations.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

Professor Leonard

Finding Z-Score, Percentiles and Quartiles, and Comparing Standard Deviation

Learn to calculate z-scores, interpret percentiles and quartiles, and compare standard deviations in this comprehensive statistics lecture, enhancing your data analysis skills.

• YouTube
• 1 hour 32 minutes
• Self-Paced
• Free Video

The Organic Chemistry Tutor

How to Find the Weighted Mean and Weighted Average in Statistics

Learn to calculate weighted means and averages in various scenarios, from test scores to GPAs and mixture concentrations, with clear explanations and practical examples.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Introduction to Spreadsheets and Models

6 ratings

Learn essential spreadsheet skills for data analysis and modeling. Master formulas, functions, and tools to create powerful business models and make informed decisions.

• Coursera
• 7 hours 59 minutes
• Self-Paced
• Paid Course

Career Certificate

Applied Data Science with Python

34347 ratings at Coursera

Gain practical data science skills using Python, covering statistical analysis, machine learning, visualization, text mining, and network analysis through hands-on projects and popular toolkits.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

This interactive DataCamp course complements the Coursera course Data Analysis and Statistical Inference by Mine Çetinkaya-Rundel.

• DataCamp
• Self-Paced
• Free Trial Available

Inferential Statistical Analysis with Python

937 ratings at Coursera

Explore inferential statistics using Python, covering confidence intervals and hypothesis testing for various population parameters. Apply concepts to real-world case studies using statistical libraries.

• Coursera
• 21 hours 46 minutes
• Self-Paced
• Paid Course