In the first chapter, you will start by exploring and integrating the dataset into Power BI and understand the challenges faced with the uncleaned data. Then, using Power Query Editor operations, you will clean and mash up the data so you can use it for reporting.

Competitor Sales Analysis in Power BI

Data transformation best practices

Loading data

Transforming data

Append queries

Data model performance optimization

Setting up relationships

Preparing your Data and Model

In this chapter, after loading the cleaned data in Power BI, you will continue building a common data model, analyze the manufacturer's product growth, and compare your manufacturer against the competitors across multiple geographies.

Discovering business insights

Top N analysis

Sales trend analysis

DAX  measure refresh

This year vs last year and % growth calculation

Market share analysis

Discovering Sales Trends

In this last chapter, you will make your Power BI report more dynamic and interactive using images and adding navigations. You will also use advanced features and visuals to present the data in the form of a story which end users can use to make informed decisions.

Presenting your story

Dynamic theme formatting

Storytelling using bookmarks and buttons

AI-Based visuals

Drillthrough

Visualization best practices

Wrap-up

Creating a Data-Driven Story

Exercises and Datasets

Metadata Sheet

DataCamp vs. Local Experience

This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization. Through Power BI and Power Query Editor, you will work on the development of a complete Power BI report starting from the data integration from multiple sources, data transformation, modeling, and then visualization.

You will carry out a sales and market share analysis, focusing not only on the company's performance internally, reflecting on how well the products sell, but also externally analyzing how well they are doing against competing manufacturers. Thus, business users can make informed decisions and actions on their data.

By the end of this case study, you’ll have a stronger understanding of competitor sales analysis and have more confidence in using Power BI on your own datasets.




<h2>Apply Your Skills with a Power BI Case Study</h2>
This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization. 
<br><br>
<h2>From Power Query to Power BI</h2>
Through Power BI and Power Query Editor, you will work on the development of a complete Power BI report, starting from the data integration from multiple sources, data transformation, modeling, and then visualization.
<br><br>
<h2>Carry Out Detailed Analysis </h2>
You will carry out a sales and market share analysis, focusing not only on the company's performance internally, reflecting on how well the products sell, but also externally analyzing how well they are doing against competing manufacturers. Thus, business users can make informed decisions and actions on their data.
<br><br>
By the end of this case study, you’ll have a stronger understanding of competitor sales analysis and have more confidence in using Power BI on your own datasets.


Data Modeling in Power BI

DAX Functions in Power BI

Report Design in Power BI

This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization.

Case Study: Competitor Sales Analysis in Power BI

Data transformation best practices

Case Study: Competitor Sales Analysis in Power BI

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