Descriptive Statistics

Descriptive Statistics is a branch of statistics that deals with the organization, summarization, and interpretation of quantitative data. Coursera's Descriptive Statistics catalogue teaches you how to effectively analyze and interpret data using statistical techniques. You'll learn about measures of central tendency, dispersion, skewness, and kurtosis. Additionally, you'll understand how to create and interpret data visualizations such as histograms, box plots, and scatter plots. This skill is essential for roles in data analysis, market research, social sciences, and any field that requires data-driven decision making.

48credentials

6online degrees

142courses

Explore the Descriptive Statistics Course Catalog

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O.P. Jindal Global University
Statistical Methods and Data Analysis
Skills you'll gain: Sampling (Statistics), Statistical Analysis, Probability Distribution, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Correlation Analysis, Regression Analysis, R (Software), R Programming, Statistical Modeling, Statistical Inference, Probability, Big Data, Decision Tree Learning
Build toward a degree
Mixed · Course · 1 - 3 Months
Status: Free Trial
Meta
Statistics Foundations
Skills you'll gain: Bayesian Statistics, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Data Modeling, Statistics, Probability & Statistics, Statistical Analysis, Statistical Methods, Statistical Modeling, Marketing Analytics, Tableau Software, Data Analysis, Spreadsheet Software, Analytics, Time Series Analysis and Forecasting, Regression Analysis
4.8
Rating, 4.8 out of 5 stars
369 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Rice University
Business Statistics and Analysis
Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Pivot Tables And Charts, Regression Analysis, Statistics, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Business Analytics, Statistical Analysis, Statistical Modeling, Statistical Inference, Excel Formulas, Data Analysis, Data Presentation, Business Analysis, Statistical Methods, Sample Size Determination
4.7
Rating, 4.7 out of 5 stars
13K reviews
Beginner · Specialization · 3 - 6 Months
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Stanford University
Introduction to Statistics
Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution
4.6
Rating, 4.6 out of 5 stars
4.2K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Google
The Power of Statistics
Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Statistical Hypothesis Testing, Data Analysis, Probability Distribution, Statistics, Data Science, Statistical Analysis, A/B Testing, Statistical Methods, Probability, Statistical Inference, Statistical Programming, Python Programming, Technical Communication
4.8
Rating, 4.8 out of 5 stars
850 reviews
Advanced · Course · 1 - 3 Months
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Status: Free Trial
EDUCBA
Python for Data Science: Real Projects & Analytics
Skills you'll gain: Descriptive Statistics, Feature Engineering, Probability & Statistics, Supervised Learning, Statistical Hypothesis Testing, Exploratory Data Analysis, Box Plots, Regression Analysis, Statistics, Predictive Modeling, Time Series Analysis and Forecasting, Data Science, Histogram, Data Visualization, Statistical Analysis, Forecasting, Database Application, Integrated Development Environments, Computer Networking, Python Programming
Beginner · Specialization · 3 - 6 Months

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EDUCBA
Statistics for Data Science with Python
Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistics, Predictive Modeling, Data Visualization, Statistical Analysis, Data Science, Data Analysis, Statistical Modeling, Histogram, Pandas (Python Package), NumPy, Statistical Inference, Probability, Correlation Analysis
Mixed · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
University of Colorado Boulder
Foundations of Probability and Statistics
Skills you'll gain: Probability, Estimation, Probability & Statistics, Probability Distribution, Markov Model, Statistical Methods, Statistical Inference, Bayesian Statistics, Sampling (Statistics), Statistical Analysis, Artificial Intelligence, Generative AI, Statistics, Data Analysis, Data Science, Descriptive Statistics, Machine Learning Algorithms, Mathematical Theory & Analysis
Build toward a degree
4.4
Rating, 4.4 out of 5 stars
316 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
Imperial College London
Statistical Analysis with R for Public Health
Skills you'll gain: Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistics, Public Health, Statistical Inference, Probability & Statistics, Time Series Analysis and Forecasting
4.7
Rating, 4.7 out of 5 stars
2.1K reviews
Beginner · Specialization · 3 - 6 Months
Status: New
Status: Free Trial
EDUCBA
Data Analysis with Minitab: Analyze & Apply
Skills you'll gain: Minitab, Data Analysis, Statistical Hypothesis Testing, Regression Analysis, Descriptive Statistics, Statistical Analysis, Predictive Modeling, Analytics, Predictive Analytics, Data-Driven Decision-Making, Exploratory Data Analysis, Statistical Methods, Statistical Inference
Mixed · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
Macquarie University
Statistics and Data Analysis with Excel
Skills you'll gain: Pivot Tables And Charts, Sample Size Determination, Data Visualization, Statistical Inference, Data Visualization Software, Statistical Hypothesis Testing, Data-Driven Decision-Making, Statistics, Microsoft Excel, Correlation Analysis, Descriptive Statistics, Data Analysis, Forecasting, Regression Analysis, Business Analytics, Probability & Statistics, Excel Formulas, Statistical Modeling, Statistical Visualization, Data Presentation
4.8
Rating, 4.8 out of 5 stars
38 reviews
Beginner · Specialization · 3 - 6 Months
Status: New
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EDUCBA
Deep Learning with R: Build & Predict Neural Networks
Skills you'll gain: Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Programming, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Performance Testing, Data Cleansing
Mixed · Course · 1 - 4 Weeks