Data, AI, and Cloud Courses

Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

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.

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.

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

Learn to manipulate and analyze flexibly structured data with MongoDB.

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

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

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

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

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

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

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

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

Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.

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

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

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

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

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.

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

Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.

Master SQL Server programming by learning to create, update, and execute functions and stored procedures.

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

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

Learn how to detect fraud using Python.

Learn the core techniques necessary to extract meaningful insights from time series data.

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