Data, AI, and Cloud Courses

Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exceptions like a pro, with logging to back it all up!

Learn about ARIMA models in Python and become an expert in time series analysis.

Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

Get started with Sigma! Learn how to build and customize simple, interactive dashboards for real-time analytics.

In this course, youll learn the basics of relational databases and how to interact with them.

Master travel planning with WanderBot: craft prompts, build confidence, and streamline your next adventure.

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

Create visualizations and dynamic dashboards with Databricks, turning raw data into clear and actionable insights.

Learn how to identify, analyze, remove and impute missing data in Python.

Boost your coding with Windsurf, the AI-powered IDE that helps you build, debug, and deploy faster.

Create more accurate and reliable RAG systems with Graph RAG and hybrid RAG.

Prepare for your next coding interviews in Python.

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

Learn how to transform raw data into clean, reliable models with dbt through hands-on, real-world exercises.

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

This course will show you how to integrate spatial data into your Python Data Science workflow.

Take your reporting skills to the next level with Tableau’s built-in statistical functions.

Use a chatbot to create a study guide tailored to your goals and schedule. Build skills with simple, effective prompts.

Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.

Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.

Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

Learn to implement distributed data management and machine learning in Spark using the PySpark package.

Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

Learn essential finance math skills with practical Excel exercises and real-world examples.