Data, AI, and Cloud Courses

This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

Learn to solve increasingly complex problems using simulations to generate and analyze data.

Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

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

Learn to analyze, plot, and model multivariate data.

Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.

Learn to create animated graphics and linked views entirely in R with plotly.

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

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

Learn the fundamentals of valuing stocks.

Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

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

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

Combine text, images, audio, and video with the latest AI models from Hugging Face, and generate new images and videos!

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

Learn Databricks SQL for data engineering, analytics, and real-time data workflows in the lakehouse architecture.

Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

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

Create multi-modal systems using OpenAIs text and audio models, including an end-to-end customer support chatbot!

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

Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.

Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.

Learn to use Amazon Bedrock to access foundation AI models and build with AI - without managing complex infrastructure.

Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.

Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!

Learn about experimental design, and how to explore your data to ask and answer meaningful questions.

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

Advance your Alteryx skills with real fitness data to develop targeted marketing strategies and innovative products!