Applied Data Science courses can help you learn data analysis, statistical modeling, machine learning, and data visualization techniques. You can build skills in data cleaning, exploratory data analysis, and predictive analytics to derive insights from complex datasets. Many courses introduce tools like Python, R, and SQL, along with libraries such as Pandas and Scikit-learn, that support implementing data-driven solutions and automating processes in real-world applications.
University of Michigan
Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Dimensionality Reduction, Random Forest Algorithm, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Presentation, Data Visualization, Feature Engineering, Statistical Analysis, Statistical Modeling, R Programming, Data Science, Machine Learning, GitHub
Intermediate · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Probability & Statistics, Scatter Plots, Microsoft Excel, Statistics, Data Import/Export, Data Analysis
Beginner · Specialization · 3 - 6 Months

Edureka
Skills you'll gain: Power BI, Data Visualization, Data Analysis Expressions (DAX), Matplotlib, Plotly, Data Analysis, Exploratory Data Analysis, Seaborn, SQL, Pandas (Python Package), Probability & Statistics, Regression Analysis, Machine Learning, Statistical Hypothesis Testing, Python Programming, Data Transformation, Feature Engineering, Data Integration, NumPy, Web Scraping
Intermediate · Specialization · 3 - 6 Months
Duke University
Skills you'll gain: Data Ethics, Exploratory Data Analysis, Data-Driven Decision-Making, Statistical Modeling, Web Scraping, Ggplot2, Data Visualization Software, Predictive Modeling, Tidyverse (R Package), Data Visualization, Data Analysis, Regression Analysis, Responsible AI, Data Transformation, Statistical Methods, R Programming, Data Science, Data Wrangling, Data Cleansing, Version Control
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Jupyter, Computer Programming Tools, Data Visualization Software, Data Science, GitHub, R (Software), Big Data, R Programming, Statistical Programming, Machine Learning, Cloud Computing, Git (Version Control System), IBM Cloud, Development Environment, Other Programming Languages, Version Control, Query Languages, Python Programming, Open Source Technology
Beginner · Course · 1 - 3 Months

University of California, Davis
Skills you'll gain: Data Governance, SQL, Data Quality, Database Design, Query Languages, Data Manipulation, Data Modeling, Relational Databases, Data Science, Data Analysis, Data Transformation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Peer Review, Data Modeling, Jupyter, Data Collection, Business Analysis, Data Science, Decision Tree Learning, Predictive Modeling, Software Development Methodologies, Data Processing, Business Requirements, Data Cleansing, Data Analysis, Data Mining, Data Quality, Data Transformation, User Feedback, Feature Engineering, Stakeholder Engagement
Beginner · Course · 1 - 4 Weeks
Duke University
Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Arithmetic, Data Science, Calculus, Data Analysis, Descriptive Statistics
Beginner · Course · 1 - 4 Weeks

University of Pittsburgh
Skills you'll gain: Statistical Analysis, Statistical Modeling, Predictive Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Derivatives, Mathematical Modeling, Machine Learning, Algorithms
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Illinois Tech
Skills you'll gain: Time Series Analysis and Forecasting, Statistical Analysis, Data Analysis, Machine Learning Algorithms, Data Visualization, Exploratory Data Analysis, Statistical Programming, Statistical Methods, Statistical Machine Learning, Statistical Reporting, Data Cleansing, Forecasting, Analytics, Regression Analysis, R Programming, Statistical Modeling, Statistical Software, Data Science, Supervised Learning, Machine Learning
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Data Manipulation, R (Software), Statistical Hypothesis Testing, Regression Analysis, Correlation Analysis, Data Visualization, Data Analysis, R Programming, Python Programming
Beginner · Specialization · 3 - 6 Months