Data, AI, and Cloud Courses

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

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

Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.

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

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

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

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

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

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

Explore Alteryx Designer in a retail data case study to boost sales analysis and strategic decision-making.

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

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

In this course youll learn how to perform inference using linear models.

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

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

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 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.

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

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

Learn how to load, transform, and transcribe speech from raw audio files in Python.

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

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

Learn efficient techniques in pandas to optimize your Python code.

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

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

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

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

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

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