Data, AI, and Cloud Courses

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

Learn how to segment customers in Python.

Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.

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

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

Learn efficient techniques in pandas to optimize your Python code.

Learn how computers work, design efficient algorithms, and explore computational theory to solve real-world problems.

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

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

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.

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.

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

Learn the fundamentals of using DataLab, an AI-powered data notebook for data analysis and exploration.

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

Master Databricks with Python: learn to authenticate, manage clusters, automate jobs, and query AI models programmatically.

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

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

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

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

Learn how to write effective tests in Java using JUnit and Mockito to build robust, reliable applications with confidence.

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

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

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

Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

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

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

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

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.