Descriptive Statistics Courses and Certifications

Exploratory Data Analysis in Power BI

3995 ratings at DataCamp

Introduction to Exploratory Data Analysis in Power BI Enhance your reports with Power BI's Exploratory Data Analysis (EDA)!

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

ExcelIsFun

Excel Statistical Analysis - Range, Variance, Standard Deviation, Coefficient of Variation

Visual explanations connect dispersion to business decisions, then demonstrate range, interquartile range, variance, standard deviation, and coefficient of variation in Excel.

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

ExcelIsFun

Excel Statistical Analysis - Location, Mean, Median, Mode, Moving Average, Skew & More

Learn to calculate and interpret mean, median, mode, skew, and moving averages in Excel using formulas, PivotTables, Power Query, and charts.

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

ExcelIsFun

Excel Statistical Analysis - Cross Tabulation, Visualizations, and Logical Tests, Simpson’s Paradox

Learn to build cross-tabulated reports in Excel with PivotTables, visualize frequency relationships, and recognize Simpson’s paradox.

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

ExcelIsFun

Excel Statistical Analysis - Frequency Distributions, Visualizations & Skew for Quantitative Data

Learn to build frequency distributions, histograms, and time-series charts in Excel while interpreting skew and distribution shapes.

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

Professor Leonard

Statistics Lecture - Finding the Z-Score, Percentiles and Quartiles

Learn to find z-scores and work with percentiles and quartiles in statistics.

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

Professor Leonard

Prealgebra - Finding Averages: The Mean, Median, and Mode

Learn to find and compare averages using the mean, median, and mode in this prealgebra lecture.

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

Great Learning

Frequency Distribution

Learn to construct frequency distributions, calculate cumulative and relative frequencies, and analyze a dataset using Excel tables and charts.

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

Great Learning

Measures of Central Tendency - Measures of Dispersion - Statistics for Beginners

Learn to summarize datasets with measures of central tendency and dispersion, then apply them in a telecom dataset case study.

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

Eddie Woo

Basic Single Variable Analysis

Learn to choose and use mean and median while reading dot plots, stem-and-leaf plots, and potentially misleading graphs.

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

Introduction to Statistics: Descriptive Statistics

10 ratings

An introduction to descriptive statistics, emphasizing critical thinking and clear communication.

• edX
• 4 weeks
• No Longer Offered
• Free Online Course

Career Certificate

Data Analysis and Visualization with Microsoft Power BI

112 ratings at Udacity

Develop in-demand data skills using Power BI for preprocessing, visualization, and analysis. Learn ETL, data modeling, DAX, statistics, and effective data storytelling techniques.

• Udacity
• 57 hours
• Self-Paced
• Paid Course

Importing and Managing Financial Data in Python

64 ratings at DataCamp

If you want to apply your new 'Python for Data Science' skills to real-world financial data, then this course will give you some very valuable tools.

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

Data Analysis and Visualization Fluency

7 ratings at Udacity

Learn about the data analysis process, key steps in data wrangling, basic data types, summary statistics, how to design good data visualizations, common types of charts and plots, and how to tell a story with your visuals.

• Udacity
• 5 hours
• Self-Paced
• Paid Course

Summary Statistics in Public Health

2062 ratings at Coursera

Learn to summarize and interpret public health data: summary measures, visual displays, sample size, the normal distribution, binary data, and Kaplan-Meier survival curves.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Paid Course