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.

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

University of Alberta
Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution
Intermediate · Course · 1 - 3 Months

Universidad de los Andes
Skills you'll gain: Data Ethics, Predictive Modeling, Classification And Regression Tree (CART), Statistical Machine Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Analytics, Scikit Learn (Machine Learning Library), Machine Learning, Python Programming, Unsupervised Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Pandas (Python Package), Data Manipulation, Jupyter, Exploratory Data Analysis, Python Programming, Computational Logic
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Bayesian Statistics, Data Analysis
Beginner · Guided Project · Less Than 2 Hours

University of Michigan
Skills you'll gain: Sustainable Development, Geographic Information Systems, Geospatial Mapping, Sustainability Reporting, Spatial Data Analysis, Sustainable Business, Spatial Analysis, Data Storytelling, Environmental Monitoring, Data Visualization, Stakeholder Engagement, Trend Analysis, Decision Making
Beginner · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Unsupervised Learning, Deep Learning, Anomaly Detection, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Data Validation, Random Forest Algorithm, Data Import/Export, Data Manipulation, Feature Engineering, Statistical Methods
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Bioinformatics, Scientific Visualization, Data Access, Extensible Markup Language (XML), Data Visualization, Data Import/Export, Data Manipulation, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Prompt Engineering, Anthropic Claude, Email Automation, Generative AI, ChatGPT, Responsible AI, Automation, Workflow Management, AI Product Strategy, Report Writing, Digital Transformation, Marketing Materials, Team Management, AI Personalization, Generative AI Agents, Productivity, Innovation, Operational Efficiency, Performance Reporting, Customer Support
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Prompt Engineering, LLM Application, Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Data Cleansing, Data Strategy, Machine Learning Methods, Machine Learning, Applied Machine Learning, MLOps (Machine Learning Operations), Unsupervised Learning, Dataflow, Data Analysis, Deep Learning, Artificial Neural Networks, Machine Learning Algorithms, Supervised Learning
Intermediate · Specialization · 3 - 6 Months