Essentials of Data Visualization & Business Intelligence with Python - Complete Course

This is a comprehensive data visualization & business intelligence course where students will:

● learn the importance of data visualization in today’s world of big data
● understand a necessity of an effective data visualization in strategic decision making
● learn various types of visualizations and their applications in data analytics
● appreciate the importance of data wrangling in creating useful visualizations
● learn theoretical fundamentals, design principles and visualization techniques to create persuasive and evidence-based visualizations

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Video Layout:
00:00:00 Course Agenda
00:05:23 What is data visualization
00:07:43 Advantages & disadvantages of data visualization
00:10:20 History of data visualization
00:14:12 Why data visualization
00:23:30 Data visualization principles
00:34:07 Data visualization approaches & examples
00:45:15 Different types of data visualization
00:52:27 What is business intelligence
00:54:01 Different types of analytics
00:55:41 What is business analytics & data analytics
00:57:05 How business intelligence works
01:02:03 Different types of BI methods
01:03:46 How BI, business analytics & data analytics work together
01:05:16 Traditional BI vs modern BI
01:06:33 Benefits of Business Intelligence
01:09:21 Claim-Data-Warrants- A Model for Analyzing Arguments
01:11:06 Data Visualization Redesign – LinkedIn top skills dataset
01:17:03 What is deceptive visualization – Australia gender pay gap
01:31:50 Investing on cryptocurrencies
01:33:54 What is a Candlestick chart
01:37:06 What is a Bollinger band chart
01:40:00 Python data visualization packages
01:42:18 Plotly Dash
01:49:51 Data wrangling in Python demo in jupyter notebook

All course material and jupyter notebook can be found here:

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Youtube:

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