Summary Statistics Courses and Certifications

Microcredential

Biostatistics in Public Health

2 reviews

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

• Coursera
• 17 weeks, 4 hours a week
• On-Demand
• Paid Course
• 4 courses

Advanced Linear Models for Data Science 1: Least Squares

187 ratings at Coursera

Explore advanced linear algebra and statistics for data science, focusing on least squares regression, matrix algebra, and linear models to enhance your analytical skills and understanding.

• Coursera
• 8 hours 27 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to Recommender Systems: Non-Personalized and Content-Based

644 ratings at Coursera

Explore non-personalized and content-based recommender systems, learning techniques for product associations, demographic-based recommendations, and personalized filtering using user profiles.

• Coursera
• 23 hours 16 minutes
• On-Demand
• Free Online Course (Audit)

Meta

Data Analysis with Spreadsheets and SQL

91 ratings at Coursera

Learn to analyze data using spreadsheets and SQL, from cleaning and calculating statistics to creating visualizations and dashboards. Gain practical skills in data manipulation, trend identification, and effective presentation.

• Coursera
• 1 day 1 hour 45 minutes
• On-Demand
• Free Online Course (Audit)

MathWorks

Machine Learning Onramp

2 reviews

Learn the basics of practical machine learning methods for classification problems.

• MATLAB Academy
• 2 hours
• On-Demand
• Free Certificate

University of Tübingen

Essential Statistics

Learn fundamental statistical concepts and techniques, from basic probability to regression analysis, enhancing your data interpretation and research skills.

• YouTube
• 7 hours
• On-Demand
• Free Online Course

Introduction to Statistics in Python

168 ratings at DataCamp

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

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

Introduction to Statistics

128 ratings at DataCamp

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

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

Introduction to Statistics in R

68 ratings at DataCamp

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

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

Learn about exploratory data analysis (EDA) techniques.

• Codecademy
• 6 hours
• On-Demand
• Free Trial Available

Working with Categorical Data in Python

31 ratings at DataCamp

Learn how to manipulate and visualize categorical data using pandas and seaborn.

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

Intermediate SQL Server

27 ratings at DataCamp

In this course, you will use T-SQL, the flavor of SQL used in Microsoft's SQL Server for data analysis.

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

Intermediate Google Sheets

13 ratings at DataCamp

Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.

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

Exploring Your First Data Set with R

12 ratings at Pluralsight

Learn how to explore new data sets in R by applying a structured and established data exploration blueprint.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Data Analysis in Google Sheets

11 ratings at DataCamp

Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.

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