Data, AI, and Cloud Courses

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

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

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

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

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

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

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

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

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

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

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

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

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.

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

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.

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

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

Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

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

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

Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.

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