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.

Skills you'll gain: Report Writing, Digital Transformation, Automation, Generative AI, Business Reporting, Business Process Automation, AI Enablement, Operational Efficiency, Artificial Intelligence, Data Collection, Data Analysis
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Model Evaluation, Responsible AI, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Statistical Visualization, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

University of Michigan
Skills you'll gain: ChatGPT, Generative AI, Large Language Modeling, Prompt Engineering, Responsible AI, Artificial Intelligence, Data Ethics, Law, Regulation, and Compliance, Social Impact, Legal Technology, Intellectual Property, Business Ethics, Economic Development, Economics, Content Creation
Beginner · Course · 1 - 4 Weeks
Duke University
Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, AI Security, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, AI Product Strategy, Statistical Modeling, Python Programming, Machine Learning, Model Evaluation, Applied Machine Learning, Logistic Regression, Deep Learning, Visualization (Computer Graphics), Plot (Graphics), Artificial Neural Networks
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Model Deployment, Exploratory Data Analysis, Data Preprocessing, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Embeddings, Data Strategy, Machine Learning, MLOps (Machine Learning Operations), Cloud Deployment, Model Evaluation, Applied Machine Learning, Unsupervised Learning, Dataflow, Data Analysis, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 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

University of California, Davis
Skills you'll gain: Simulations, Social Sciences, Systems Thinking, Agentic systems, Social Network Analysis, Model Evaluation, Sociology, Economics, Scientific Methods, Computer Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Plotly, Data Visualization, Machine Learning, Social Sciences, Socioeconomics, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: SAS (Software), Model Evaluation, Logistic Regression, Predictive Modeling, Classification And Regression Tree (CART), Big Data, Regression Analysis, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Case Western Reserve University
Skills you'll gain: Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Descriptive Statistics, Statistical Modeling, R Programming, Geographic Information Systems, Statistical Analysis, Probability & Statistics, Data-Driven Decision-Making, Oil and Gas, Data Analysis, Simulations, Statistical Methods, Rmarkdown, Data Cleansing, Box Plots, Plot (Graphics)
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Software Design, Computational Logic, Computer Programming
Beginner · Course · 1 - 4 Weeks