Data Science courses can help you learn data analysis, statistical modeling, machine learning, and data visualization. You can build skills in programming with Python or R, data cleaning, and interpreting complex datasets. Many courses introduce tools like SQL for database management, Tableau for visual storytelling, and TensorFlow for developing AI models, showing how these skills are applied in real-world projects.

Johns Hopkins University
Skills you'll gain: Tidyverse (R Package), Web Scraping, Data Manipulation, R Programming, Data Transformation, Data Cleansing, Data Science, Big Data, Statistical Programming, Text Mining, Application Programming Interface (API)
Intermediate · Course · 1 - 3 Months

ESSEC Business School
Skills you'll gain: Business Analytics, Forecasting, Statistical Methods, Predictive Analytics, R Programming, Information Technology, Statistical Analysis, People Analytics, Data Storytelling, Business Strategy, Data Analysis, Data Visualization, Regression Analysis
Mixed · Course · 1 - 3 Months

University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Data Analysis, Probability, Probability Distribution
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Plotly, Interactive Data Visualization, Data Visualization, Data Presentation, Data Visualization Software, R (Software), R Programming, Data Mapping, Statistical Reporting, Web Applications, Package and Software Management
Mixed · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Ggplot2, Data Visualization Software, Data Visualization, Datamaps, Visualization (Computer Graphics), Interactive Data Visualization, Scatter Plots, Histogram, Graphic and Visual Design, R Programming, Geospatial Mapping
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Open Source Technology, Package and Software Management, GitHub, Version Control, Rmarkdown, Software Documentation, Maintainability, Testability, R Programming, Knitr, Continuous Integration, Git (Version Control System), Technical Documentation
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Tidyverse (R Package), Data Wrangling, R (Software), Data Cleansing, Data Transformation, Data Manipulation, R Programming, Data Science, Exploratory Data Analysis, Data Analysis, Data Management, File Management, Data Visualization, Data Import/Export
Beginner · Course · 1 - 3 Months

McMaster University
Skills you'll gain: Experimentation, Data Visualization, Predictive Modeling, Pareto Chart, Process Improvement and Optimization, Process Optimization, Statistical Methods, Performance Tuning, Mathematical Modeling, R Programming, Data Analysis, Statistical Analysis, R (Software), Case Studies
Intermediate · Course · 1 - 3 Months

University of Washington
Skills you'll gain: Feature Engineering, Data Analysis, Predictive Modeling, Data Processing, Data Wrangling, Statistical Modeling, Statistics, Data Science, Data Collection, Applied Machine Learning, R Programming, Research, Supervised Learning, Data Validation, Technical Communication, Python Programming
Mixed · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Rmarkdown, Knitr, Data Sharing, General Science and Research, Statistical Reporting, Data Analysis, Data Validation, Exploratory Data Analysis, R Programming, Technical Communication, Version Control
Mixed · Course · 1 - 4 Weeks
University of Washington
Skills you'll gain: Unsupervised Learning, Supervised Learning, Predictive Analytics, Statistical Modeling, R Programming, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Probability & Statistics, Network Analysis, Big Data, Sampling (Statistics), Random Forest Algorithm
Mixed · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Biostatistics, Statistical Analysis, R Programming, Statistical Methods, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Probability & Statistics, Statistical Modeling, Correlation Analysis, Statistical Hypothesis Testing, Descriptive Statistics, Public Health
Intermediate · Course · 1 - 4 Weeks