Data, AI, and Cloud Courses

Visualize seasonality, trends and other patterns in your time series data.

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

Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.

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

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

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

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

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

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

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

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

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.

Fine-tune Llama for custom tasks using TorchTune, and learn techniques for efficient fine-tuning such as quantization.

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

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!

Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

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

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

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.

In this course, students will learn to write queries that are both efficient and easy to read and understand.

Learn to use Amazon Bedrock to access foundation AI models and build with AI - without managing complex infrastructure.

Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.

Learn how to build interactive and insight-rich dashboards with Dash and Plotly.

Learn Snowflake data types and functions to manipulate text, numbers, and dates while building custom functions and pivot tables.

Explore ways to work with date and time data in SQL Server for time series analysis

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.