Data, AI, and Cloud Courses

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

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

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

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

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

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.

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

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

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

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

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

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

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.

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

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

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.

Prepare for your next coding interviews in Python.

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

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

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

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

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

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.

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

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

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

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