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Python for Data Visualization - A Beginner's Guide
Python for Data Visualization - A Beginner's Guide

Python for Data Visualization - A Beginner's Guide: Transform data into visual insights with this comprehensive guide on Python-based data visualization

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Video Sep 2023 3hrs 40mins 1st Edition
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Arrow left icon
Profile Icon Meta Brains
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€18.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Video Sep 2023 3hrs 40mins 1st Edition
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€8.99 €82.99
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Renews at €18.99p/m
Video
€8.99 €82.99
Subscription
Free Trial
Renews at €18.99p/m

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Key benefits

  • Learn to create various visualizations with Python libraries such as Matplotlib, Seaborn, and Plotly
  • Acquire skills to create visuals and communicate insights, explore storytelling and visualization
  • Work on real-world projects and case studies to apply data visualization techniques to real data

Description

Python-based data visualization uses the Python programming language and its libraries to transform data into visual representations, such as charts, graphs, and interactive dashboards. Python’s libraries, including Matplotlib, Seaborn, Plotly, and Bokeh, offer customizable plot types and interactive features to craft compelling visual narratives. Through data storytelling and customization, Python shares insights and effectively communicates them, making it an indispensable skill for anyone working with data. In this course, we will begin by grasping the importance of data visualization and exploring essential Python libraries such as Matplotlib, Seaborn, and Plotly. You will learn to customize and enhance visualizations, adjust colors, labels, and legends, and understand the principles of effective data storytelling. The course delves into advanced topics such as creating interactive dashboards and dynamic data plots. We will work on practical projects and real-world examples to equip us with the skills to turn raw data into informative visuals using Python. Upon completion, we will master Python-based data visualization from core principles to practical skills, Matplotlib, Seaborn, and Plotly, and transform raw data into compelling visuals. We will acquire tools to create visuals, convey insights, and make data-driven decisions with confidence.

Who is this book for?

This course caters to a wide audience from beginners with no programming experience to experienced data professionals, programmers looking to expand their skillsets, business professionals seeking practical data visualization knowledge, and students/researchers aiming to strengthen their data visualization proficiency using Python. There are no specific prerequisites for this course. However, having a basic understanding of mathematics and readiness to learn are helpful attributes for successfully completing the course.

What you will learn

  • Understand the importance/principles of effective data visualization
  • Learn Matplotlib, Seaborn, and Plotly to create various visualizations
  • Learn to tailor colors, labels, and styles to enhance visuals
  • Craft data visualizations to create compelling narratives
  • Create engaging and user-friendly interactive data displays
  • Explore geospatial data mapping and location-based visualizations

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Sep 22, 2023
Length: 3hrs 40mins
Edition : 1st
Language : English
ISBN-13 : 9781805127598
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Product Details

Publication date : Sep 22, 2023
Length: 3hrs 40mins
Edition : 1st
Language : English
ISBN-13 : 9781805127598
Category :
Languages :
Tools :

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Table of Contents

9 Chapters
Setup and Installation Chevron down icon Chevron up icon
Plotting Line Plots with Matplotlib Chevron down icon Chevron up icon
Plotting Histograms and Bar Charts with Matplotlib Chevron down icon Chevron up icon
Plotting Stack Plots and Stem Plots Chevron down icon Chevron up icon
Plotting Scatter Plots with Matplotlib Chevron down icon Chevron up icon
Time Series Data Visualization with Matplotlib Chevron down icon Chevron up icon
Creating Multiple Subplots Chevron down icon Chevron up icon
Plotting Charts Using Seaborn Chevron down icon Chevron up icon
Plotly and Cufflinks Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Full star icon 5
(1 Ratings)
5 star 100%
4 star 0%
3 star 0%
2 star 0%
1 star 0%
Harold Oct 05, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This tutorial on python plotting has been the best yet, instructor does know how to give presentation on graphing using Matplotlib, Seaborn, Plotly, Cufflinks No pauses, no interruptions, no sidebar chatting, just straight forward description of the graphing program codes. Don't let his age fool you, Python is for everyone but the youth have the clearest grasp of its intricacies as does this instructor. He goes into detail on how to use the graphing parameters while describing each parameters value in the code. Every other instructor in Python should watch his presentation and learn how to describe Python code without mumbling over some parts as I have listened to others do when they are not fully clear on the Python code they are describing.
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