Get Starting With Data Visualization Using Power BI

 Important Component Of Power BI

1. PowerQuery
2. Data Modeling
3. DAX Formula
4. Interactive Dashboard

LESSONS FOR LEARNING

00:08:28 – Chapter 1: Power BI Introduction 00:18:34 – Chapter 2: Import Data 00:33:24 – Chapter 3: Data Transformation 00:43:29 – Chapter 4: Append Data 00:56:15 – Chapter 5: Data Modelling – Create Relationship 01:10:10 – Chapter 6: Page Formatting 01:18:42 – Chapter 7: Adding Visuals – Column Chart 01:31:12 – Chapter 8: Formatting of Column and Bar Chart – Part 1 01:42:10 – Chapter 9: Formatting of Column and Bar Chart – Part 2 01:49:53 – Chapter 10: Formatting of Column and Bar Chart – Part 3 01:58:15 – Chapter 11: Power Query Transformation 02:12:10 – Chapter 12: Area and Line Chart Visual 02:23:26 – Chapter 13: Formatting of Line and Area Chart 02:33:43 – Chapter 14: Waterfall and Funnel Chart 02:46:07 – Chapter 15: Scatter Chart, Pie Chart, and Donut Chart 02:58:17 – Chapter 16: Tree Map and Filled Map Visuals 03:12:30 – Chapter 17: Gauge Chart and KPI 03:23:26 – Chapter 18: Card and Multirow Card 03:33:14 – Chapter 19: New Card in Power BI 03:48:10 – Chapter 20: Slicer in Power BI 03:59:28 – Chapter 21: New Slicer in Power BI 04:11:14 – Chapter 22: New Slicer with Images in Power BI 04:23:15 – Chapter 23: Table and Matrix 04:34:32 – Chapter 24: DAX Formula – SUM and SUMX 04:44:58 – Chapter 25: Calculated Columns vs Measures 04:53:33 – Chapter 26: Date DAX Formulas 05:06:55 – Chapter 27: CALCULATE DAX Formula 05:20:34 – Chapter 28: DATESBETWEEN DAX Formula 05:28:09 – Chapter 29: MTD, QTD, YTD DAX Formulas – LinkedIn Example 05:40:18 – Chapter 30: Create Interactive Dashboard

Introduction of Power BI

Attendance Management Advance

 1. Advance Management for Utilization. used Below Link

https://docs.google.com/spreadsheets/d/1m0OcmBq2wIGRbF7QcLwEFxIOfXoDcFQm/edit?usp=sharing&ouid=110804742432373697670&rtpof=true&sd=true

Getting Started a Data Analytics

Starting with Data Analytics 

 1. SQL : Basic CURD Operation, Create Undo Read and Delete & Joins and Primary Key ETC.

 2. Python : Numpay, Panda, Metlib

 3. Excel & Ms Office

 4. Statistics : For Analytics

 5.  Logical Building Critical Thinking etc