Descriptive statistics courses can help you learn how to summarize data sets, calculate measures of central tendency, and assess variability. You can build skills in interpreting frequency distributions, creating visual data representations, and performing hypothesis testing. Many courses introduce tools like Excel, R, or Python for data analysis, allowing you to apply these skills in practical scenarios, such as analyzing survey results or evaluating experimental data.

Rice University
Skills you'll gain: Probability & Statistics, Microsoft Excel, Descriptive Statistics, Business Analytics, Box Plots, Probability Distribution, Data Visualization, Probability, Statistics, Business Mathematics, Spreadsheet Software, Data-Driven Decision-Making, Algebra, Bayesian Statistics, Arithmetic, Case Studies, Statistical Analysis, Quantitative Research, Data Analysis, Correlation Analysis
Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Data Storytelling, Data Presentation, Data Governance, Predictive Modeling, Data Storage Technologies, Predictive Analytics, Exploratory Data Analysis, Analytics, Business Analytics, Data Storage, Big Data, Risk Analysis, Databases, Business Intelligence, Data Visualization, Data Visualization Software, Data Analysis, Decision Making, Data Cleansing, SQL
Intermediate · Specialization · 3 - 6 Months

Amazon Web Services
Skills you'll gain: Descriptive Analytics, Analytics, Dashboard, Data Analysis, Exploratory Data Analysis, Amazon Web Services, Data-Driven Decision-Making, Data Visualization, Big Data, Cloud Security, Amazon S3, Cloud Computing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Exploratory Data Analysis, Data Ethics, ChatGPT, Feature Engineering, Predictive Modeling, AI Product Strategy, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Data Synthesis, Data Analysis, Deep Learning, Data Visualization Software, Image Quality, Machine Learning, Natural Language Processing
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Data Manipulation, Data Access, Data Import/Export, SAS (Software), Microsoft Excel, Data Analysis, Statistical Programming, Exploratory Data Analysis, Descriptive Statistics, Data Validation, Debugging
Intermediate · Course · 1 - 3 Months

Stanford University
Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Probability & Statistics, Probability
Intermediate · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Jupyter, Data Science, Statistics, Linear Algebra, Python Programming, Machine Learning, Calculus
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Natural Language Processing, Supervised Learning, Dimensionality Reduction, Text Mining, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Tensorflow, Unstructured Data, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Computational Logic, Analysis, Probability, Sampling (Statistics), Persuasive Communication, Sample Size Determination, Writing, Case Studies, Mathematical Modeling, Scientific Methods, Oral Expression, Correlation Analysis, Communication, Interpersonal Communications, Business Communication, Interactive Learning
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Qualitative Research, Market Research, Strategic Decision-Making, Key Performance Indicators (KPIs), Quantitative Research, Innovation, Target Audience, Data-Driven Decision-Making, Sustainable Business, Benchmarking, Business Acumen, Value Propositions, Descriptive Statistics, Performance Measurement, Ideation, Team Performance Management, Competitive Analysis, Risk Management, Business Strategy, Data Analysis
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Artificial Intelligence, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics
Mixed · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Correlation Analysis, Data Analysis, Statistical Methods, Predictive Modeling, Probability & Statistics, Statistical Inference
Mixed · Course · 1 - 4 Weeks