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This Data Visualization Tutorial will start by explaining what Data Visualization is, Why we use Data Visualization, major considerations for Data Visualization and the basics of different types of graphs.

00:00:00 Introduction to Data Visualization Tutorial For Beginners
00:00:09 What is Data Visualization?
00:01:18 Benefits of Data Visualization
00:01:43 Data Visualization Considerations
00:02:22 Data Visualization Factors
00:02:52 Python Data Visualization Tool
00:03:15 Python Libraries for Data Visualization
00:03:40 MatPlotLib for Data Visualization
00:04:55 Understanding the Plot in Data Visualization
00:05:25 Steps to Create Plot
00:08:37 Controlling the Plot
00:08:51 Set Axix, Lables, and Legends
00:09:11 Alpha and Annotation
00:10:05 Multiple Plot
00:10:49 SubPlot
00:11:27 Layout and Spacing
00:11:45 Demo subplot
00:23:59 Types of Plots

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➡ About Post Graduate Program In Data Engineering
This Data Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, IBM hackathons, and Ask Me Anything sessions.

✅ Key Features
Post Graduate Program Certificate and Alumni Association membership
Exclusive Master Classes and Ask me Anything sessions by IBM
8X higher live interaction in live Data Engineering online classes by industry experts
Capstone from 3 domains and 14+ Projects with Industry datasets from YouTube, Glassdoor, Facebook etc.
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✅ Skills Covered
RealTime Data Processing
Data Pipelining
Big Data Analytics
Data Visualization
Provisioning data storage services
Apache Hadoop
Ingesting Streaming and Batch Data
Transforming Data
Implementing Security Requirements
Data Protection
Encryption Techniques
Data Governance and Compliance Controls

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