Data, AI, and Cloud Courses

Test a chatbot that matches customers with ideal skincare products using your prompting skills for personalized results.

Use your knowledge of common spreadsheet functions and techniques to explore Python!

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.

Analyze market dynamics and craft a strategic entry plan for an EV manufacturer using generative AI.

Learn how to transform and analyze data within your Microsoft Fabric account

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

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

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

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

Learn how to build a graphical dashboard with Google Sheets to track the performance of financial securities.

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

Explore Alteryx Designer in a retail data case study to boost sales analysis and strategic decision-making.

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

Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

Learn strategies for answering probability questions in R by solving a variety of probability puzzles.

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

Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.

Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.

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

Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.

Learn how to produce interactive web maps with ease using leaflet.

Learn business valuation with real-world applications and case studies using discounted cash flows (DCF).

Learn how computers work, design efficient algorithms, and explore computational theory to solve real-world problems.

Enhance your KNIME skills with our course on data transformation, column operations, and workflow optimization.

Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.

Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

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

Discover what all of the DeepSeek hype was really about! Build applications using DeepSeeks R1 and V3 models.

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