Data, AI, and Cloud Courses

Visualize seasonality, trends and other patterns in your time series data.

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

In this course, students will learn to write queries that are both efficient and easy to read and understand.

Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.

Learn how to approach and win competitions on Kaggle.

In this course you will learn to fit hierarchical models with random effects.

In this course youll learn to use and present logistic regression models for making predictions.

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

Create a go-to-market strategy with generative AI: target industries, generate leads, and optimize website keywords.

Learn how to pull character strings apart, put them back together and use the stringr package.

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

In this course, youll learn how to import and manage financial data in Python using various tools and sources.

Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.

Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

Learn how to set up and manage your Microsoft Fabric infrastructure.

Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.

Learn to build recommendation engines in Python using machine learning techniques.

Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

Learn how to structure your PostgreSQL queries to run in a fraction of the time.

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

Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

Use a chatbot to create a study guide tailored to your goals and schedule. Build skills with simple, effective prompts.

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

Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.

Learn to streamline your machine learning workflows with tidymodels.

Learn the most important functions for manipulating, processing, and transforming data in SQL Server.

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

Learn how to segment customers in Python.

Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.