Data, AI, and Cloud Courses

Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.

Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.

This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

Learn the fundamentals of valuing stocks.

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

Learn how to prepare and organize your data for predictive analytics.

Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.

Are you curious about the inner workings of the models that are behind products like Google Translate?

Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.

Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.

Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.

Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!

GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.

Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.

Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.

Learn to process sensitive information with privacy-preserving techniques.

Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.

You will use Net Revenue Management techniques in Google Sheets for a Fast Moving Consumer Goods company.

In this course youll learn how to use data science for several common marketing tasks.

Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

Explore HR data analysis in Tableau with this case study.

In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.

In this course youll learn how to apply machine learning in the HR domain.

Learn to easily summarize and manipulate lists using the purrr package.

Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.

Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.

Advance you R finance skills to backtest, analyze, and optimize financial portfolios.

Apply AI in finance to analyze data, prompt effectively, and automate workflows for better decisions.