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 Minnesota
Skills you'll gain: Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Algorithms, Model Evaluation, Linear Algebra
Mixed · Course · 1 - 3 Months

Duke University
Skills you'll gain: Rust (Programming Language), Test Case, Software Testing, Data Structures, Debugging, GitHub, Programming Principles, Package and Software Management, Development Environment, System Programming, Software Documentation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: SAS (Software), Dashboard, Business Analytics, Business Reporting, Interactive Data Visualization, Data Visualization Software, Data Analysis, Advanced Analytics, Key Performance Indicators (KPIs), Statistical Programming
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: GitHub, Unix, Git (Version Control System), Unix Commands, Version Control, Bash (Scripting Language), Ubuntu, Command-Line Interface, Cloud Computing, Shell Script, Linux, Mac OS, Scripting, Scripting Languages, Programming Principles, File Management
Beginner · Course · 1 - 3 Months

Skills you'll gain: Plotly, Data Visualization, Datamaps, Data Visualization Software, Scatter Plots, Jupyter, Python Programming, Exploratory Data Analysis, Pandas (Python Package), Data Analysis, Medical Science and Research
Beginner · Guided Project · Less Than 2 Hours

Imperial College London
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Convolutional Neural Networks, Transfer Learning, Supervised Learning, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Import/Export, Data Analysis, Data Visualization, Programming Principles, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: AWS SageMaker, Image Analysis, Deep Learning, Keras (Neural Network Library), Model Evaluation, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Computer Vision, Applied Machine Learning, Machine Learning, Python Programming, Matplotlib, Data Science
Intermediate · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Customer Success Management, Generative AI Agents, Customer Service, AI Enablement, Customer Support, Customer experience improvement, AI Personalization, Customer Engagement, Personalized Service, Data Ethics, Automation, Business Ethics, Information Privacy, Systems Integration
Intermediate · Course · 1 - 4 Weeks

Columbia University
Skills you'll gain: Statistical Inference, Econometrics, Mediation, Advanced Analytics, Statistical Analysis, Regression Analysis, Time Series Analysis and Forecasting, Statistical Methods, Statistical Modeling, Research Design
Advanced · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Responsible AI, Model Deployment, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Data Cleansing, Supervised Learning, Data Preprocessing, Data Strategy, Artificial Neural Networks, Model Evaluation, Logistic Regression, Performance Tuning
Intermediate · Specialization · 3 - 6 Months