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.

Coursera
Skills you'll gain: Canva (Software), Logo Design, Branding, Brand Strategy, Style Guides, Typography, Brand Management, Creative Design, Marketing Design, Graphic Design, Color Theory, Graphic and Visual Design, Digital Design, Governance, Asset Management, Layout Design, Scalability
Beginner · Course · 1 - 4 Weeks

Dartmouth College
Skills you'll gain: Supervised Learning, Predictive Modeling, Logistic Regression, Statistical Modeling, Model Evaluation, Machine Learning, Machine Learning Algorithms, Classification Algorithms, Regression Analysis, Probability & Statistics, Linear Algebra
Build toward a degree
Intermediate · Course · 1 - 3 Months

Rice University
Skills you'll gain: Computational Thinking, Algorithms, Theoretical Computer Science, Bioinformatics, Data Structures, Big Data, Python Programming, Data Analysis, Machine Learning Algorithms, Unsupervised Learning, Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Authentications, OAuth, Back-End Web Development, Event-Driven Programming, Database Management, Databases, Authorization (Computing), Redis, Secure Coding, Application Programming Interface (API), Restful API, Email Automation, Data Migration
Intermediate · Course · 3 - 6 Months

Northeastern University
Skills you'll gain: Agile Software Development, Agile Methodology, Scaled Agile Framework, Agile Project Management, Conflict Management, Leadership, Sprint Planning, Scrum (Software Development), Project Planning, Team Building, Software Development Life Cycle, Prioritization, Backlogs, Sprint Retrospectives, Kanban Principles, User Story, Lean Methodologies, Communication, Continuous Improvement Process
Mixed · Course · 1 - 3 Months

ISAE-SUPAERO
Skills you'll gain: Mechanics, Simulations, Engineering Calculations, Physics, Applied Mathematics, Engineering Analysis, Systems Of Measurement
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, LLM Application, OpenAI API, Large Language Modeling, Embeddings, Responsible AI, AI Personalization, Cost Management, Artificial Intelligence, AI Enablement, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Google App Engine, Cloud Applications, Restful API, Google Cloud Platform, Cloud Computing Architecture, OAuth, Cloud Computing, Cloud Services, Application Deployment, Platform As A Service (PaaS), Python Programming, Cloud Storage, Application Performance Management, Authentications, Web Applications, Data Store, MySQL, Scalability
Beginner · Course · 1 - 3 Months

Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Programming Principles, Debugging, Matlab, Computational Thinking, Numerical Analysis, Data Manipulation, Linear Algebra
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: LLM Application, MLOps (Machine Learning Operations), Large Language Modeling, Data Processing, Model Deployment, AI Workflows, Prompt Engineering, Responsible AI, Generative AI, Scalability, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Data Transformation, Continuous Monitoring, Feature Engineering, Natural Language Processing, Artificial Intelligence, Data Collection
Advanced · Course · 1 - 3 Months

Stanford University
Skills you'll gain: Physics, Timelines, Verification And Validation, Scientific Methods, Research, Experimentation, Mathematical Modeling, Systems Of Measurement
Beginner · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
Intermediate · Course · 1 - 3 Months