Data, AI, and Cloud Courses

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

Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

Learn the bag of words technique for text mining with R.

Discover what it takes to scale AI agents, with a little help from frameworks like MCP and A2A.

Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.

Learn how to use plotly in R to create interactive data visualizations to enhance your data storytelling.

Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.

Learn efficient techniques in pandas to optimize your Python code.

From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

Learn how to produce interactive web maps with ease using leaflet.

Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

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

Learn to solve increasingly complex problems using simulations to generate and analyze data.

Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.

Build a customer-support assistant step-by-step with Google’s Agent Development Kit (ADK).

Master text analysis with essential NLP techniques from preprocessing to advanced transformer models.

Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.

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

Learn to build pipelines that stand the test of time.

Interact with a customized GPT and use your prompting skills to plan and open your restaurant.

Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.

Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

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

In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

Learn how to load, transform, and transcribe speech from raw audio files in Python.

Learn how computers work, design efficient algorithms, and explore computational theory to solve real-world problems.

Use survival analysis to work with time-to-event data and predict survival time.

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