Data, AI, and Cloud Courses

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

Learn Excel data validation to improve accuracy, create drop-downs, and manage inventory and orders with confidence.

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

Take your reporting skills to the next level with Tableau’s built-in statistical functions.

Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

Master SQL Server programming by learning to create, update, and execute functions and stored procedures.

In this course youll learn about basic experimental design, a crucial part of any data analysis.

Learn the fundamentals of using DataLab, an AI-powered data notebook for data analysis and exploration.

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

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!

Build SQL skills by writing AI prompts that generate queries for sorting, grouping, filtering, and categorizing data.

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

Learn how to efficiently collect and download data from any website using R.

Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

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

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

Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.

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

Explore HR data analysis in Tableau with this case study.

This course will show you how to combine and merge datasets with data.table.

Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

Enhance your Power BI knowledge, by learning the fundamentals of Data Analysis Expressions (DAX) such as calculated columns, tables, and measures.

Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

Learn how to create, customize, and share data visualizations using Matplotlib.

Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.

Discover how to make better business decisions by applying practical data frameworks—no coding required.

Create visualizations and dynamic dashboards with Databricks, turning raw data into clear and actionable insights.

Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!

Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.