Exploratory Data Analysis courses can help you learn data visualization techniques, statistical summaries, and data cleaning methods. You can build skills in identifying patterns, detecting anomalies, and interpreting results to inform decision-making. Many courses introduce tools like Python, R, and Tableau, which facilitate the analysis and presentation of data insights, allowing you to effectively communicate findings and support data-driven strategies.

University of California, Irvine
Skills you'll gain: Predictive Modeling, Natural Language Processing, Social Media, Text Mining, Cloud Computing, Unstructured Data, Big Data, Business Analytics, Data Science, Data Analysis, Geospatial Information and Technology, Internet Of Things, Deep Learning
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Data Storytelling, Infographics, Interactive Data Visualization, Data Visualization, Storytelling, Storyboarding, Diagram Design, Data Analysis, Graphic and Visual Design
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Pivot Tables And Charts, Microsoft Excel, Dashboard, Data Presentation, Business Reporting, Interactive Data Visualization, Data Visualization Software, Excel Formulas, Data Import/Export, Data Cleansing, Data Transformation, Data Analysis, Timelines
Intermediate · Course · 3 - 6 Months

University of Minnesota
Skills you'll gain: Operations Research, Supply Chain, Workforce Management, Business Analytics, Applied Mathematics, Mathematical Modeling, Process Optimization, Manufacturing Operations, Operations Management, Workforce Planning, Financial Modeling, Business Analysis, Microsoft Excel, Resource Allocation, Finance, Analytics, Production Planning, Portfolio Management, Investment Management, Decision Making
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Seaborn, Data Storytelling, Statistical Visualization, Data Visualization, Data Visualization Software, Matplotlib, Box Plots, Scatter Plots, Statistical Analysis, Heat Maps, Histogram, Python Programming
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Package and Software Management, Code Review, Open Source Technology, GitHub, Scientific Methods, Bioinformatics, Technical Documentation, Informatics, Clinical Informatics, R (Software), Data Analysis, Programming Principles, R Programming, Version Control, Integrated Development Environments
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Matplotlib, Object Oriented Programming (OOP), Plotly, Seaborn, Data Visualization Software, Object Oriented Design, Data Visualization, Pandas (Python Package), NumPy, Statistical Visualization, Interactive Data Visualization, Software Documentation, Scatter Plots, Box Plots, Heat Maps, Software Engineering, Data Structures, Maintainability, Data Import/Export, Data Manipulation
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Structures
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Functional Design, Scripting, Scripting Languages, Python Programming, Data Science, Programming Principles, Computer Programming, Software Engineering
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Research Design, Statistical Analysis, Data Ethics, Statistical Modeling, Data Science, Data Analysis, Quantitative Research, Regression Analysis, Probability & Statistics, Linear Algebra, Calculus
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

University of Minnesota
Skills you'll gain: Operations Research, Mathematical Modeling, Business Modeling, Business Analytics, Analytics, Data Modeling, Business Mathematics, Process Optimization, Data-Driven Decision-Making, Microsoft Excel, Decision Making, Linear Algebra, Spreadsheet Software, Graphing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning
Mixed · Course · 1 - 4 Weeks