Data, AI, and Cloud Courses

This course is for R users who want to get up to speed with Python!

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

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.

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

Learn how to develop deep learning models with Keras.

Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.

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

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

Learn efficient techniques in pandas to optimize your Python code.

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

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

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

Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.

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

Unlock your datas potential by learning to detect and mitigate bias for precise analysis and reliable models.

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

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

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

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

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

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

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

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

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

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.

Learn how to segment customers in Python.

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

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