Data, AI, and Cloud Courses

Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.

Master data fluency! Learn skills for individuals and organizations, understand behaviors, and build a data-fluent culture.

Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

Test a chatbot that matches customers with ideal skincare products using your prompting skills for personalized results.

Learn to create compelling data visualizations with KNIME, covering charts, components, and dashboards.

Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.

Learn to set up a secure, efficient book recommendation app in Azure in this hands-on case study.

Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.

Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.

Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.

Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.

Learn all about how DataCamp builds the best platform to learn and teach data skills.

Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.

Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.

Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

Learn key financial concepts such as capital investment, WACC, and shareholder value.

Unlock your datas potential by learning to detect and mitigate bias for precise analysis and reliable models.

Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.

Learn the fundamentals of using DataLab, an AI-powered data notebook for data analysis and exploration.

Learn how to prepare and organize your data for predictive analytics.

Learn business valuation with real-world applications and case studies using discounted cash flows (DCF).

Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.

Learn how to visualize big data in R using ggplot2 and trelliscopejs.

Learn to write cleaner, smarter Java code with methods, control flow, and loops.

Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.

Learn strategies for answering probability questions in R by solving a variety of probability puzzles.

Solidify your decision science skills by designing data-informed frameworks and implementing efficient solutions.

Elevate your analysis with this hands-on course using SQL with DataLab workbooks.