Data, AI, and Cloud Courses

Elevate your analysis with this hands-on course using SQL with DataLab workbooks.

Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.

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

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

Learn to set up a secure, efficient book recommendation app in Azure in this hands-on case study.

Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.

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

Learn to use the Bioconductor package limma for differential gene expression analysis.

In this course youll learn techniques for performing statistical inference on numerical data.

Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.

Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

Learn to use the Census API to work with demographic and socioeconomic data.

Learn to create compelling data visualizations with KNIME, covering charts, components, and dashboards.

Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.

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

Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.

Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.

Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.

Apply financial analysis in KNIME with real-world data, enhancing data preparation and workflow skills.

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

Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.

Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

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

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

Practice Tableau with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.

Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training

Learn how to visualize time series in R, then practice with a stock-picking case study.

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

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