Data, AI, and Cloud Courses

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

Learn to create, secure, and manage APIs with Azure API Management through hands-on practice.

Learn how to develop deep learning models with Keras.

Streamline your AI projects by building modular models and mastering advanced optimization with PyTorch Lightning!

In this course youll learn how to leverage statistical techniques for working with categorical data.

This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization.

Learn how to segment customers in Python.

Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.

In this course youll learn techniques for performing statistical inference on numerical data.

Learn efficient techniques in pandas to optimize your Python code.

Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

Learn how to set up and manage your Microsoft Fabric infrastructure.

Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

Build AI teams that work together, automate workflows, and generate content with CrewAI.

Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.

Learn to analyze Airbnb data using SQL in Databricks, create dashboards, and derive actionable insights.

Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.

Learn how to efficiently collect and download data from any website using R.

Learn how to access financial data from local files as well as from internet sources.

Learn the bag of words technique for text mining with R.

Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

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

Learn key techniques to optimize Java performance, from algorithm efficiency to JVM tuning and multithreading.

Learn how to produce interactive web maps with ease using leaflet.

Learn to work with Microsoft Copilot. Master prompting, navigate Microsoft 365 apps, and build custom agents.

Learn business valuation with real-world applications and case studies using discounted cash flows (DCF).

In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.