DATA ANALYSIS WITH POWERBI
Data is the new crude oil and the success of business in the 21st century is heavily reliant on the ability to mine and use consumers’ data, financial data and internal operations data to drive business decisions.
Our instructor-led Power BI training helps teams adopt Power BI for self-service business intelligence and analytics. Through this practical-based approach with hands-on labs and in-person guidance, attendees will be able to build and share stunning visualizations and valuable data insights quickly and easily with Power BI. This expertly designed framework will leave attendees with the knowledge they need to take full advantage of Power BI capabilities and set them up for success with the tool.
The question is, where do you start? During this three-day training, we’ll walk you through the necessary steps: we’ll import data with queries, create a data model with the necessary relationships and calculations, build an interactive report and publish it. Lastly, we’ll make a dashboard that you can share with your colleagues.
In Stock
OBJECTIVES:
After completing this training, you will be able to:
- Describe key concepts in business intelligence
- Describe key concepts in data analysis
- Describe key concepts in data visualization
- Describe the rationale for self-service BI
- Describe considerations for self-service BI
- Import data via queries
- Create a dashboard
- Use queries to transform data into usable, meaningful tables
- Create a data model with relationships, custom sorting, a date dimension table, etc
- Use Excel as a Power BI data source
- Use databases as a Power BI data source and describe the R language
- Create Power BI Desktop queries
- Shape data and Combine data
- Set up interactions between charts
- Write simple DAX queries
- Create calculations and measures
- Use Power BI Desktop to create interactive data visualizations
TARGET AUDIENCE
The Microsoft Power BI Training is for all the professionals who are passionate about business intelligence, data visualization, and data analytics. It is best suited for: Business Analysts, financial analysts, Business Intelligence managers, economists, Statisticians and Analysts, Data Scientists, and Project Managers
$190,000.00
