Duration: 120 Minutes
Overview
In this Session attendees will learn how to import, clean, and transform data, use parameters, merge and append data, and create custom columns. The session also covers managing tables and applying data to visuals. By the end, participants will be ready to use Power BI for effective data analysis and visualization.
Audience
This course is designed for beginners and intermediate users of Power BI who want to enhance their data management and visualization skills.
Importing Data
Importing data from various sources (Excel, CSV, SQL, Web).
File types supported and best practices for data import.
Using Parameters
Setting up and Using parameters in Power Query
Create a parameter to filter imported data by a specific item or date.
Customizing data import using parameters.
Using Parameters in Power BI
Cleaning and Transforming Data
Techniques for data cleaning (removing duplicates, correcting data types).
Basic transformations (splitting, merging, unpivoting).
Differences between merging and appending data.
Practical uses and when to apply each method.
Creating Conditional and Custom Columns
Adding conditional columns for logical data classification.
Creating custom columns for calculated fields.
Creating an Index Column for Unique Records
Understanding Tables and Columns in Power BI
Create Custom Columns in Power BI vs Power Query
Create a simple table relationship between 2 Tables
Applying Data to Visuals
Basics of applying data to visuals.
Choosing appropriate visual types for data.
Creating visuals with filtered data and parameters.
By the end of this session, participants will have a solid foundation for working with data in Power BI, equipping them to clean, transform, and visualize data for impactful business analysis.
