Final Project

Project Approach:

I got this dataset

and it contains information such as each employee’s age, Job level, job

satisfaction, Marital Status, and Distance from home, to highlight a few. I

used Data Analysis Expressions (DAX) in Power BI and the Power Query Editor to

make some simple transformations on the data, after which I reported in a

visually appealing manner. The analysis was done in several stages which I will

take you through.

Extract, Transform & Load

After downloading the dataset, I used the get data feature on Power

BI to import the dataset.

I also confirmed all data types were correct and that the data had no errors or inconsistencies. Hence, no need for data transformation or data cleaning before reporting our visuals.

Data Analysis Expressions (DAX)

As Data Analysts, creating reports with business data is one of the many ways we easily

add value to the companies we serve.

This

section shows my ability to use Data Analysis expressions (DAX) effectively

when creating calculated measures and also my expertise in using appropriate

charts to represent important ideas from datasets.

Proper

communication of reports always results in improved data-driven decision-making

with stakeholders.