Data, AI, and Cloud Courses

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

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

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.

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

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

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

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

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

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

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

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

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

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

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

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

Prepare for your next coding interviews in Python.

Dive into the world of digital transformation and equip yourself to be an agent of change in a rapidly evolving digital landscape.

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

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

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

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

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

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

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

Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.

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

Learn how to structure your PostgreSQL queries to run in a fraction of the time.