Data, AI, and Cloud Courses

Master the Excel basics and learn to use this spreadsheet tool to conduct impactful analysis.

Learn how to analyze data with PivotTables and intermediate logical functions before moving on to tools such as what-if analysis and forecasting.

Understand how to prepare Excel data through logical functions, nested formulas, lookup functions, and PivotTables.

Learn how to create a range of visualizations in Excel for different data layouts, ensuring you incorporate best practices to help you build dashboards.

Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.

You will investigate a dataset from a fictitious company called Databel in Excel, and need to figure out why customers are churning.

Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.

Boost your Excel skills with advanced referencing, lookup, and database functions using practical exercises.

Master Excel basics quickly: navigate spreadsheets, apply formulas, analyze data, and create your first charts!

Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.

Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery

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

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

Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

Improve your Python data importing skills and learn to work with web and API data.

Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

Learn essential finance math skills with practical Excel exercises and real-world examples.

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

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

Learn to work with Microsoft Copilot. Master prompting, navigate Microsoft 365 apps, and build custom agents.

Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.

Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.

Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.

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

Master strategic data management for business excellence.

Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exceptions like a pro, with logging to back it all up!

Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.

Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!

Learn vibe coding with Replit. Build apps like a Typeform clone, and master securing and deploying Replit apps.

Learn how to create one of the most efficient ways of storing data - relational databases!