Power BI for FP&A Professionals

Description

Unlock the Power of Data with Power BI: A Live, Hands-on Course. This course is designed for beginners with no prior coding experience. You'll learn to build dynamic dashboards, extract valuable insights from your data, and master data analysis and visualization techniques using Power BI. During this live, interactive session, you'll learn the fundamentals of Power BI Desktop, master data transformation techniques, design and build interactive dashboards, and explore various data visualization options. By the end of this course, you'll have the skills to extract meaningful insights from your data, create impactful data visualizations, and build interactive dashboards to track key business metrics.

Topics Covered-

 Introduction to Power BI Desktop

• Installing and Running Power BI Desktop

• The Data Load Process

• The Power BI Desktop Window

 Discovering and Loading Data with Power BI Desktop

• Data Sources

• Loading Data

• Excel 

 Transforming Datasets

• Power BI Desktop Queries

• Editing Data After a Data Load

• Transforming Data Before Loading

• The Power BI Desktop Query Editor

• The Applied Steps List

• Dataset Shaping

• Renaming/Reordering/Removing Columns

• Removing Error Records

• Removing Duplicate

• Records Sorting Data

• Filtering Data

 Data Cleansing

• Changing Data Type

• Detecting Data Types

Designing a Power BI Desktop Data Model

• Data View and Relationship View

• Creating Relationships Manually & Automatically

• Cardinality- Many to One, One to One

• Deleting Relationships

• Managing Relationships

Text-Based Visualizations

• Power BI Desktop Dashboards 

• Tables

• Creating a Basic Table

• Creating a Matrix

Charts in Power BI Desktop

• A First Chart

• Basic Chart Types

• Column Charts

• Line Charts

• Pie Charts

• Essential Chart Adjustments

Filtering Data using Slicer

• Using Slicers

• Formatting Slicers

• Specifying Visual Interactions

• Choosing the Correct Approach to Interactive Data Selection

 Enhancing Reports

• Adding Text Boxes to Annotate a Report

• Modifying the Page Background Colour

• Organizing Visuals on the Page

Training Objectives:

• Master Power BI Fundamentals: 

  • Understand the core components and functionalities of Power BI Desktop.

  • Learn to connect and import data from various sources.

  • Gain proficiency in navigating and utilizing the Power BI interface.

• Data Transformation & Cleaning: 

  • Master data transformation techniques using Power Query.

  • Learn to clean and prepare data for analysis, including handling missing values, duplicates, and errors.

  • Effectively shape and transform data to meet analysis requirements.

• Data Modeling & Visualization: 

  • Create and manage data models, including defining relationships between tables.

  • Develop a strong understanding of data visualization principles.

  • Create and customize various chart types (bar charts, line charts, pie charts, etc.) to effectively communicate data insights.

• Dashboard Creation & Interaction: 

  • Design and build interactive dashboards to track key performance indicators (KPIs).

  • Learn to use slicers, filters, and other interactive elements to explore data and gain deeper insights.

  • Enhance dashboard aesthetics and improve overall user experience.

• Data Analysis & Interpretation: 

  • Extract meaningful insights from data using Power BI's analytical capabilities.

  • Develop the ability to interpret and communicate data-driven findings effectively.

  • Learn to use data to support business decisions and improve performance.

Who Can Attend:

• This course is ideal for anyone with an interest in learning Power BI, regardless of their prior technical experience. It's suitable for a wide range of individuals, including:

• Business Analysts: Enhance your data analysis and reporting skills.

• Data Analysts: Gain proficiency in a powerful business intelligence tool.

• Business Professionals: Learn to leverage data to make informed business decisions.

• Students: Develop valuable data analysis and visualization skills for your career.

• Anyone curious about data and its applications.

No prior coding or technical background is required.