Data, AI, and Cloud Courses

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

Learn to manipulate and analyze flexibly structured data with MongoDB.

Learn to bring data into Microsoft Fabric, covering Pipelines, Dataflows, Shortcuts, Semantic Models, security, and model refresh.

Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

Learn how to transform raw data into clean, reliable models with dbt through hands-on, real-world exercises.

Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.

Master data manipulation and analysis techniques such as CASE statements, subqueries, and CTEs in Snowflake.

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

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

Explore ways to work with date and time data in SQL Server for time series analysis

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

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

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

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

Learn how to approach and win competitions on Kaggle.

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

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

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

Master Amazon Redshifts SQL, data management, optimization, and security.

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

Discover how to use the income statement and balance sheet in Power BI

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

Develop the skills you need to clean raw data and transform it into accurate insights.

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

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

Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

Learn key financial concepts such as capital investment, WACC, and shareholder value.