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.

DeepLearning.AI
Skills you'll gain: Classification And Regression Tree (CART), Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Statistical Machine Learning, Applied Machine Learning, Random Forest Algorithm, Forecasting, Model Evaluation, Biostatistics, Predictive Analytics, Data Preprocessing, Data Cleansing, Statistical Modeling, Risk Analysis, Machine Learning, Statistical Methods, Statistical Analysis, Deep Learning
★ 4.7 (800) · Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Programming Principles, Computer Programming, Data Manipulation, Python Programming, Scripting Languages, Computational Logic, Data Science
★ 4.8 (229) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Web Scraping, Regression Analysis, Responsible AI, Generative AI, Statistical Analysis, Rmarkdown, Feature Engineering, Predictive Modeling, Time Series Analysis and Forecasting, R (Software), Logistic Regression, Leaflet (Software), Risk Analysis, Data Pipelines, AI Product Strategy, AI Integrations, AI Enablement, AI Personalization, AI Orchestration, AI Workflows
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Dashboard, Microsoft Excel, Business Analytics, Financial Analysis, Spreadsheet Software, Statistical Modeling, Financial Data, Predictive Modeling, People Analytics, Trend Analysis, Excel Macros, Sales, Performance Analysis, Simulation and Simulation Software, Budgeting, Automation, Performance Metric
Mixed · Course · 1 - 3 Months
Skills you'll gain: Model Evaluation, Classification And Regression Tree (CART), Data Ethics, Applied Machine Learning, Model Training, Unsupervised Learning, Convolutional Neural Networks, Random Forest Algorithm, Data Preprocessing, Data Analysis, Regression Analysis, Responsible AI, Recurrent Neural Networks (RNNs), Data Collection, Compliance Training, Regulatory Compliance, Test Tools, Learning Strategies, Test Planning, Goal Setting
★ 4.6 (327) · Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Pivot Tables And Charts, Microsoft Excel, Spreadsheet Software, Data Literacy, Data Storytelling, Data Presentation, Business Analytics, Excel Formulas, Analytics, Business Workflow Analysis, Data Visualization, Data Analysis, Performance Reporting, Data Synthesis, Analytical Skills, Scalability, Data Manipulation, Operational Efficiency
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Large Language Modeling, Retrieval-Augmented Generation, LangChain, LLM Application, Natural Language Processing, Data Ethics, Responsible AI, Text Mining, Embeddings, Deep Learning, Generative AI, Fine-tuning, Artificial Intelligence, Classification Algorithms, Machine Learning Methods, Data Preprocessing, Applied Machine Learning, Machine Learning, Model Optimization, Model Evaluation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Data Literacy, Decision Intelligence, Data Analysis, Data-Driven Decision-Making, Cloud Solutions, Cloud Security, Analytics, Cloud-Based Integration, Microsoft Azure, Cloud Services, Cloud Platforms, Enterprise Security, Data Integration, AI Enablement, Business Analytics, Artificial Intelligence, SAS (Software)
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: User Story, Cloud Deployment, CI/CD, Software Development Life Cycle, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Linux Commands, Software Architecture, Test Driven Development (TDD), Cloud Computing Architecture, Application Deployment, Devops Tools, Restful API, Git (Version Control System), DevOps, Grafana, Software Engineering, Python Programming, Application Development
★ 4.6 (65K) · Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Model Deployment, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Machine Learning Software, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Predictive Analytics, Model Training, Cloud Deployment, Feature Engineering, Machine Learning Algorithms, Model Evaluation, Data Science, Data Analysis, Classification Algorithms
★ 4.5 (831) · Beginner · Guided Project · Less Than 2 Hours

University of California, Davis
Skills you'll gain: Data Visualization, Data Visualization Software, Tableau Software, Data Storytelling, Data Presentation, Exploratory Data Analysis, Visual Design, Statistical Visualization, Graphic and Visual Design, Design Elements And Principles, Data Analysis, Color Theory, Data Ethics, Statistical Analysis, Anomaly Detection, User Centered Design, Human Factors, Aesthetics
★ 4.4 (2.1K) · Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Model Deployment, Model Optimization, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Model Training, Transfer Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Machine Learning
★ 4.5 (1.5K) · Advanced · Specialization · 3 - 6 Months