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 Colorado System
Skills you'll gain: Marketing Analytics, Classification And Regression Tree (CART), Probability & Statistics, AI Personalization, Statistical Software, Statistical Methods, Regression Analysis, Model Evaluation, Data-Driven Decision-Making, Data Ethics, Unsupervised Learning, Statistical Modeling, Data Visualization, Customer Analysis, Statistical Analysis, Predictive Analytics, Anomaly Detection, Advanced Analytics, Bayesian Network, Machine Learning
Intermediate · Specialization · 3 - 6 Months
Duke University
Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Arithmetic, Data Science, Calculus, General Mathematics
Beginner · Course · 1 - 4 Weeks

MathWorks
Skills you'll gain: Data Storytelling, Model Evaluation, Feature Engineering, Supervised Learning, Dimensionality Reduction, Data Visualization, Data Integration, Data Preprocessing, Interactive Data Visualization, Exploratory Data Analysis, Data Import/Export, Classification Algorithms, Technical Communication, Data Analysis, Plot (Graphics), Applied Machine Learning, Data Visualization Software, Matlab, Regression Analysis, Data Science
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Model Evaluation, A/B Testing, Matplotlib, Box Plots, Sampling (Statistics), Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Probability & Statistics, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming
Beginner · Specialization · 1 - 4 Weeks

University of Washington
Skills you'll gain: Feature Engineering, Unsupervised Learning, Data Ethics, Statistical Visualization, Data Storytelling, Big Data, Relational Databases, Supervised Learning, Database Systems, Dataflow, Data Visualization Software, Databases, Statistical Machine Learning, Model Evaluation, Predictive Analytics, R Programming, Data Analysis, SQL, Predictive Modeling, Python Programming
Intermediate · Specialization · 3 - 6 Months

University of California, Davis
Skills you'll gain: Data Governance, SQL, Data Management, Data Quality, Database Design, Query Languages, Data Literacy, Data Manipulation, Data Modeling, Relational Databases, Data Science, Databases, Data Analysis, Data Transformation
Beginner · Course · 1 - 4 Weeks
Duke University
Skills you'll gain: Data Ethics, Exploratory Data Analysis, Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Web Scraping, Ggplot2, Model Evaluation, Data Visualization Software, Predictive Modeling, Tidyverse (R Package), Data Visualization, Data Analysis, Regression Analysis, Responsible AI, Data Transformation, R Programming, Data Science, Data Wrangling, Version Control
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Descriptive Statistics, Model Evaluation, 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, Integrated Development Environments, Computer Networking, Python Programming, Server Side
Beginner · Specialization · 3 - 6 Months
University of Michigan
Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Research Design, Statistical Methods, Data Science, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Mathematical Modeling, Probability & Statistics, Quantitative Research, Machine Learning, Model Evaluation, Logistic Regression, Feature Engineering
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Precision Medicine, Game Theory, Reinforcement Learning, Data-Driven Decision-Making, Clinical Trials, Bioinformatics, Data Analysis, Image Analysis, Analytics, Markov Model, Bayesian Statistics, Time Series Analysis and Forecasting, Forecasting, Data Science, Strategic Decision-Making, Statistical Methods, Anomaly Detection, Applied Machine Learning, Cybersecurity, Statistical Analysis
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Peer Review, Data Modeling, Jupyter, Data Collection, Model Deployment, Business Analysis, Data Science, Software Development Methodologies, Data-Driven Decision-Making, Data Cleansing, Analytical Skills, Data Analysis, Data Mining, Business Process, Classification Algorithms, Data Preprocessing, Model Evaluation, User Feedback
Beginner · Course · 1 - 4 Weeks