Data, AI, and Cloud Courses

Learn how to design Power BI visualizations and reports with users in mind.

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

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

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

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

Create multi-modal systems using OpenAIs text and audio models, including an end-to-end customer support chatbot!

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

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.

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.

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

Build SQL skills by writing AI prompts that generate queries for sorting, grouping, filtering, and categorizing data.

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

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

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

Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

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

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

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

Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.

In this course, youll learn how to import and manage financial data in Python using various tools and sources.

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

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

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

Prepare for your next coding interviews in Python.

Use Seaborns sophisticated visualization tools to make beautiful, informative visualizations with ease.

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

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

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