Data, AI, and Cloud Courses

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.

From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

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

Learn how to segment customers in Python.

Use your knowledge of common spreadsheet functions and techniques to explore Python!

Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

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

Learn strategies for answering probability questions in R by solving a variety of probability puzzles.

Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

Learn how to build a graphical dashboard with Google Sheets to track the performance of financial securities.

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

Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

Learn to streamline your machine learning workflows with tidymodels.

Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training

In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

Learn efficient techniques in pandas to optimize your Python code.

Build AI agentic workflows that can plan, search, remember, and collaborate, using LlamaIndex.

Learn how to build intelligent agents that reason, act, and solve real-world tasks using Python.

Develop the skills you need to clean raw data and transform it into accurate insights.

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

Learn how to write recursive queries and query hierarchical data structures.

Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.

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

Learn how to use Python to analyze customer churn and build a model to predict it.

Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

Create a healthcare AI agent using Haystack, an open-source framework for orchestrating LLMs and external components.

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

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