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Power BI

Track :

Computer Softwares
Course Presenter :

Pavan Lalwani

Lessons no : 23

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Lessons | 23
Power BI DAX Challenge Final Day Top Supplier by Product Range
00:03:52

Power BI DAX Challenge Final Day Top Supplier by Product Range
20 Who Handles the Most Customers DAX Challenge Day 20
00:04:09

20 Who Handles the Most Customers DAX Challenge Day 20
19 Find the Top Revenue Category in Power BI Day 19 of 21 Days DAX Challenge
00:06:07

19 Find the Top Revenue Category in Power BI Day 19 of 21 Days DAX Challenge
18 Find the Most Loyal Employee in Power BI DAX Challenge Day 18
00:05:37

18 Find the Most Loyal Employee in Power BI DAX Challenge Day 18
17 Who Delays the Most DAX Reveals It Day 17
00:06:23

17 Who Delays the Most DAX Reveals It Day 17
16 Find the Employee with Highest Average Order Value Power BI Challenge Day 16
00:05:14

16 Find the Employee with Highest Average Order Value Power BI Challenge Day 16
15 Top Monthly Customer in Power BI DAX Challenge Day 15
00:06:36

15 Top Monthly Customer in Power BI DAX Challenge Day 15
1000 Joined the DAX Challenge Are You In
00:00:47

1000 Joined the DAX Challenge Are You In
14 Power BI DAX Challenge Find Top Customer by Sales in 1997
00:04:42

14 Power BI DAX Challenge Find Top Customer by Sales in 1997
Day 13 Which Country Has the Most Customers Power BI DAX Challenge
00:04:58

Day 13 Which Country Has the Most Customers Power BI DAX Challenge
12 Who Ordered the Most Power BI DAX Challenge Day 12
00:04:53

12 Who Ordered the Most Power BI DAX Challenge Day 12
11 Who s Been With Us the Longest Power BI DAX Challenge Series
00:06:05

11 Who s Been With Us the Longest Power BI DAX Challenge Series
10 Which Weekday Had the Highest AirPods Pro Sales DAX Challenge Day 10
00:04:16

10 Which Weekday Had the Highest AirPods Pro Sales DAX Challenge Day 10
9 Which Month Had the Highest Sales DAX Challenge Day 9
00:03:52

9 Which Month Had the Highest Sales DAX Challenge Day 9
8 Power BI DAX Challenge 8 Count On Time Deliveries with Just 1 Formula
00:03:08

8 Power BI DAX Challenge 8 Count On Time Deliveries with Just 1 Formula
7 How Many 1997 Orders Beat the Average DAX Challenge Day 7
00:06:51

7 How Many 1997 Orders Beat the Average DAX Challenge Day 7
6 What of Sales Came from Discontinued Products DAX Challenge Day 6
00:05:10

6 What of Sales Came from Discontinued Products DAX Challenge Day 6
5 What s the Avg Price of Discontinued Products DAX Challenge Day 5
00:04:53

5 What s the Avg Price of Discontinued Products DAX Challenge Day 5
4 Which Category Has the Most Products DAX Challenge Day 4
00:07:40

4 Which Category Has the Most Products DAX Challenge Day 4
3 Find the product with highest avg discount Power BI DAX Challenge Day 3
00:03:41

3 Find the product with highest avg discount Power BI DAX Challenge Day 3
2 Which Product Had the Highest Avg Quantity per Order DAX Challenge Day 2
00:04:30

2 Which Product Had the Highest Avg Quantity per Order DAX Challenge Day 2
1 Which Product Was Sold the Most DAX Challenge Day 1
00:07:28

1 Which Product Was Sold the Most DAX Challenge Day 1
Welcome to the 21 Day DAX Challenge with Pavan Lalwani
00:01:44

Welcome to the 21 Day DAX Challenge with Pavan Lalwani

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Power BI, in this course is designed to teach you how to transform raw data into insightful, interactive dashboards and reports. You’ll start by learning the basics of Power BI, including connecting to various data sources, cleaning and transforming data using Power Query, and creating relationships between datasets. The course will guide you through building visuals, customizing charts, and applying filters to highlight key insights. You’ll also explore DAX (Data Analysis Expressions) to create calculated columns, measures, and advanced analytics. Best practices for designing clear and engaging dashboards, implementing row-level security, and optimizing report performance are covered in detail. You’ll gain experience in sharing reports, publishing to the Power BI Service, and collaborating in workspaces. By the end, you’ll be able to build professional, data-driven solutions that enhance decision-making and bring clarity to complex datasets. Pavan Lalwani