Learn to set up a secure, efficient book recommendation app in Azure in this hands-on case study.

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.

Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

Register, scan, catalog, and view data assets and their relevant details in Microsoft Purview.

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.

This course will help analytics professionals who are seeking to sharpen their business oriented skill set by outlining principles to efficiently frame and solve analytical problems.

Enhance your analytical skills with this Certified Analytics Professional (CAP) course! Learn to define, assess, and solve business problems using structured analytical approaches, ensuring alignment with stakeholders and business objectives.

In this course, you'll learn to identify, collect, segment, and target customers using data analysis techniques from problem identification to boosting repeat purchases and driving revenue.

Unlock the power of data with the Certified Analytics Professional: Deployment course. Master solution deployment, deliver impactful reports, and become a data-driven problem solver.

With the growing need for data analytics in a variety of organizations because of the benefits that they provide, so is the growing competition among technology professionals to vie for senior positions and career advancement in this area.

This course covers problem-solving approaches in data analysis, including descriptive, predictive, and prescriptive analysis. It also covers software tools selection, testing approaches, and approach selection, with tips and best practices.

To help technology professionals advance their career in data science and analytics, this course explores conceptual models, how to build, verify, run, and evaluate them before they can be calibrated with the available data in the organization.