In this video, explore the power of Business Intelligence (BI) and how it converts raw data into actionable insights. We will discuss tools like Tableau, Power BI, Excel, and Python that simplify data analysis and visualization. We'll cover key components such as data collection, storage, analysis, visualization, and reporting. Learn how BI improves efficiency, reduces costs, and predicts future trends. Finally, discover how it enhances customer satisfaction and provides a competitive edge.
Learn Business Intelligence from basics with hands-on training by experts. Dive into various BI case studies and more. Ideal for beginners. Enroll now and receive a certificate upon completion! [ Ссылка ]
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🏁 Topics Covered:
00:00:00 - Introduction
00:01:38 - Definition of Business Intelligence
00:04:14 - Importance of Business Intelligence
00:07:15 - Excel Dashboards for Business Intelligence
00:07:24 - Introduction to Excel Dashboards
00:20:47 - Importance of Data Cleaning
00:28:27 - Why Data Cleaning Matters
00:31:00 - Data Cleaning Process
00:35:22 - Types of Functions in Excel
00:46:13 - Pivot Tables in Excel
00:58:51 - Building Excel Dashboards
01:01:41 - Introduction to Tableau
01:07:37 - Tableau Architecture
01:09:23 - Tableau Product Family
01:16:30 - Tableau Installation
01:20:37 - Tableau Data Types
01:32:38 - Tableau Dashboards
01:40:00 - Demo on using Tableau
02:19:07 - Introduction to PowerBI
02:24:16 - PowerBI Architecture
02:27:17 - Components of PowerBI
02:33:00 - Building Blocks of PowerBI
02:36:32 - PowerBI Reports
02:37:27 - PowerBI Dashboards
02:44:14 - Demo on using PowerBI
02:49:53 - PowerBI DAX
02:57:20 - Visual Analytics
03:21:50 - Data Visualization using Python
03:30:02 - Data Visualization Tools
03:36:35 - Python Matplotlib
03:41:25 - Horizontal Bar Plot
03:42:46 - Scatter Plot
03:50:16 - Histogram
03:56:36 - Box Plot
04:00:34 - Violin Plot
04:01:37 - Pie Chart
04:05:47 - DoughNut Chart
04:12:43 - SeaBorn Line, Bar and Scatter Plot
04:28:58 - SeaBorn Histogram
04:46:25 - Plotly Library
04:53:32 - Plotly with Cufflinks
05:07:33 - Demo on Plotly Library
05:17:17 - Overall Conclusion
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