Return to course: DATA ANALYSIS – POWER BI
Divex Consult
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DATA ANALYSIS - POWER BI
WELCOME VIDEO
Welcome Video
Quiz
SUBMODULE 1 - INTRODUCTION TO POWER BI
Power BI 1 - Introduction
Power BI 1- Introduction to Power BI 2
Power BI 1 - Quiz
SUBMODULE 2 - INTRODUCTION TO POWER BI DATA TYPES
Power BI 2 - Introduction
Power BI 2 - Data Types in Power BI
Power BI 2 - Connecting and Transforming Data
Power BI 2 - Connecting and Transforming Data 2
Power BI 2 - Summary
Power BI 2 - Quiz
SUBMODULE 3 - DATA MODELLING AND RELATIONSHIPS
Power BI 3 - Introduction
Power BI 3 - Fundamentals of Tables and Relationships
Power BI 3 - Data Relationships in Power bi
Power BI 3 - Summary
Power BI 3 - Quiz
SUBMODULE 4 - INTRODUCTION TO DAX
Power BI 4 - Introduction
Power BI 4 - Fundamentals of DAX
Power BI 4 - Applying DAX in Power BI
Power BI 4 - Applying DAX in Power BI 2
Power BI 4 - Summary
Power BI 4 - Quiz
Power BI 4 - ACCESS TO MODULE 5
SUBMODULE 5 - DATA VISUALIZATION IN POWER BI
Power BI 5 - Introduction
Power BI 5 - Exploring Power BI Visuals
Power BI 5 - Creating an Interactive Dashboard
Power BI 5 - Creating an Interactive Dashboard 2
Power BI 5 - Creating an Interactive Dashboard 3
Power BI 5 - Creating an Interactive Dashboard 4
Power BI 5 - Summary
Power BI 5 - Quiz
Power BI 5 - ACCESS TO MODULE 6
SUBMODULE 6 - REAL-WORLD CASE STUDIES AND PROJECT
Power BI 6 - Introduction
Power BI 6 - Applying Power BI to a Business Use Case
Power BI 6 - Applying Power BI to a Business Use Case 2
Power BI 6 - Building and Presenting Power BI Dashboard
Power BI 6 - Building and Presenting Power BI Dashboard 2
Power BI 6 -Building and Presenting Power BI Dashboard 3
Power BI 6 - Summary
Power BI 6 - Quiz
MENTORSHIP WITH AISHA
Power BI Mentorship Video
Power BI 6 – Quiz
Hello.
To access the assignment file, kindly send an email to divexconsults@gmail.com with the subject "Submodule 6 Assignment File Request."
We'll respond with the file promptly.
Thank you for your understanding.
(100 to 1,200 characters)
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(Maven Coffee Shop Sales Dashboard)
1.Trend Analysis: Based on the sales trend by month, which months had the highest and lowest sales? What possible factors could contribute to these trends?
(100 to 1,200 characters)
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2. Product Performance: What is the best-selling product in terms of revenue, and how does it compare to the most purchased product in terms of quantity?
(100 to 1,200 characters)
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3. Customer Behavior: Which days of the week have the highest transaction quantities? What business strategies can be implemented to improve sales on slower days?
(100 to 1,200 characters)
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4. Category Performance: The dashboard shows that Coffee is the top category in sales. Which category is the second most profitable, and by how much?
(100 to 1,200 characters)
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5. Business Strategy: If the company wants to increase sales, should they focus on product categories, specific products, or customer engagement strategies? Why?
(100 to 1,200 characters)
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6. Data Interpretation: What insights can you draw from the transaction quantity sales chart? How does it influence business decisions?
(100 to 1,200 characters)
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