Tuesday 21 November 2023

From Excel to Power BI (Free Course)

Python Coding November 21, 2023 Course, Data Science No comments

What you'll learn

Learners will be instructed in how to make use of Excel and Power BI to collect, maintain, share and collaborate, and to make data driven decisions

There is 1 module in this course

Are you using Excel to manage, analyze, and visualize your data? Would you like to do more? Perhaps you've considered Power BI as an alternative, but have been intimidated by the idea of working in an advanced environment. The fact is, many of the same tools and mechanisms exist across both these Microsoft products. This means Excel users are actually uniquely positioned to transition to data modeling and visualization in Power BI! Using methods that will feel familiar, you can learn to use Power BI to make data-driven business decisions using large volumes of data.

We will help you to build fundamental Power BI knowledge and skills, including:

• Importing data from Excel and other locations into Power BI.

• Understanding the Power BI environment and its three Views.

• Building beginner-to-moderate level skills for navigating the Power BI product.

• Exploring influential relationships within datasets.

• Designing Power BI visuals and reports.

• Building effective dashboards for sharing, presenting, and collaborating with peers in Power BI Service.

For this course you will need:

• A basic understanding of data analysis processes in Excel.

• At least a free Power BI licensed account, including:

• The Power BI desktop application.

• Power BI Online in Microsoft 365.

Course duration is approximately three hours. Learning is divided into five modules, the fifth being a cumulative assessment. The curriculum design includes video lessons, interactive learning using short, how-to video tutorials, and practice opportunities using COMPLIMENTARY DATASETS. Intended audiences include business students, small business owners, administrative assistants, accountants, retail managers, estimators, project managers, business analysts, and anyone who is inclined to make data-driven business decisions. Join us for the journey!