Descriptive Statistics Courses and Certifications

Statistics/Data Analysis with SPSS: Descriptive Statistics

1463 ratings at Udemy

Increase Your Descriptive Data Analytic Skills – Highly Valued And Sought After By Employers

• Udemy
• 3 hours 25 minutes
• Self-Paced
• Paid Course

Coursera

RStudio for Six Sigma - Basic Descriptive Statistics

68 ratings at Coursera

Learn to perform basic descriptive analysis for Six Sigma using RStudio, an open-source alternative to commercial software. Gain hands-on experience with R language for statistical tasks.

• Coursera
• 2 hours 5 minutes
• Self-Paced
• Paid Course

Learn to calculate and interpret mean, median, and mode using Python. Explore their applications, handle outliers, and analyze real-world datasets to gain practical statistical skills.

• Codecademy
• 1 hour
• Self-Paced
• Free Trial Available

Coursera

Calculating Descriptive Statistics in R

52 ratings at Coursera

Learn to perform descriptive statistics on quantitative and qualitative variables in R, including frequency calculations, distribution analysis, and univariate/bivariate statistics.

• Coursera
• 2 hours 30 minutes
• Self-Paced
• Paid Course

Career Certificate

Fundamental Math for Data Science

Master essential mathematical foundations including probability, statistics, linear algebra, and calculus to excel in data science applications.

• Codecademy
• 12 hours
• Self-Paced
• Free Trial Available

Yuvaraja's College;  CEC

Descriptive Statistics

Comprehensive exploration of statistical concepts, from data types to advanced correlation techniques, equipping learners with tools for data analysis and interpretation.

• Swayam
• 12 weeks
• Self-Paced
• Free Online Course

Career Certificate

Business Statistics and Analysis

12724 ratings at Coursera

Equip yourself with essential business data analysis tools, from spreadsheet functions to data modeling, probability concepts, and linear regression, culminating in a practical capstone project.

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

Introduction to Statistics

4293 ratings at Coursera

You will gain the foundational skills that prepare you to pursue more advanced topics in statistical thinking and machine learning.

• Coursera
• 14 hours 6 minutes
• Self-Paced
• Paid Course

Great Learning

Descriptive Statistics

Learn fundamental statistical concepts including central tendency, variability, skewness, and kurtosis. Gain practical skills for data analysis and interpretation applicable across various fields.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

Excel for Beginners

67072 ratings at Great Learning

Master essential Excel skills including formulas, data analysis, and automation techniques to boost productivity and handle data tasks efficiently in just 5 hours.

• Great Learning
• 4 hours 30 minutes
• Self-Paced
• Free Online Course

Career Certificate

Data Analytics Foundations

112 ratings at Noble Desktop

Master statistical concepts, data visualization, and predictive analytics while learning to use powerful tools for forecasting, regression analysis, probability modeling, and prescriptive analytics.

• Noble Desktop
• 12 hours
• Self-Paced
• $595.00

Career Certificate

Biostatistics in Public Health

2447 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

Introduction to Statistics in Python

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

• DataCamp
• 4 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

Introduction to Statistics in R

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

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