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.

LearnQuest
Skills you'll gain: Responsible AI, Data Ethics, OpenAI, Artificial Intelligence, Large Language Modeling, Ethical Standards And Conduct, Analytical Skills, Analysis, Machine Learning, Game Theory, Generative AI, Predictive Modeling
Intermediate · Course · 1 - 4 Weeks

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

Skills you'll gain: Data Ethics, AI Security, Responsible AI, Information Privacy, Personally Identifiable Information, Machine Learning, Artificial Intelligence, Data Integrity, Data Security, Vulnerability Assessments, Data Governance, Predictive Modeling
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Analytics, Data Analysis, Statistical Analysis, Probability & Statistics, Statistics, Python Programming, Data Manipulation
Intermediate · Course · 1 - 3 Months
University of Minnesota
Skills you'll gain: Taxonomy, Spreadsheet Software, Machine Learning, Predictive Analytics, Microsoft Excel, Persona Development, Information Architecture, Text Mining, Descriptive Statistics, Algorithms, Computer Programming, Java Programming
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Manipulation, Data Access, Data Import/Export, SAS (Software), Microsoft Excel, Data Analysis, Statistical Programming, Data Preprocessing, Debugging
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Large Language Modeling, Data Preprocessing, Convolutional Neural Networks, Plot (Graphics), Generative AI, Deep Learning, Unsupervised Learning, Model Evaluation, Natural Language Processing, Responsible AI, Time Series Analysis and Forecasting, Data Visualization, Transfer Learning, Supervised Learning, Data Ethics, Image Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Embeddings
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Classification Algorithms, Machine Learning, Data Analysis
Beginner · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Methods, Probability & Statistics, Statistical Inference, Biostatistics, Sampling (Statistics), Statistics, Data Analysis, Regression Analysis
Mixed · Course · 1 - 4 Weeks

Fundação Instituto de Administração
Skills you'll gain: Big Data, Data Mining, Data-Driven Decision-Making, FinTech, Ggplot2, Data Visualization Software, Plot (Graphics), Deep Learning, Data Modeling, R Programming, Market Data, Predictive Analytics, Analytics, Data Science, Data Analysis, Business Analytics, Data Processing, Data Manipulation, Machine Learning, Financial Market
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning, Natural Language Processing, Supervised Learning, Network Architecture, Data Science
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Model Evaluation, Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Artificial Neural Networks, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Random Forest Algorithm, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Statistics
Build toward a degree
Intermediate · Course · 1 - 4 Weeks