Data Visualization With Python: Complete Masterclass [2023]

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Published 1/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 1.29 GB | Duration: 3h 33m​

Learn matplotlib, numpy, line plot, bar plot, scatter plot, histogram, data set, and distribution

What you'll learn
What is Data Visualization
Plot Style
Simple Plot
Types of Plot
Multiple Plots
Line Plot
Scattering in Matplotlib
Labeling Plots
Scatter Plots
Matplotlib Glitches
Colors in Scattering
Plot Vs Scatter Plot
Bar Plotting
Multiple Bar Plot
Stacked and Sub Plots
Histogram Plot
Data Set
Data Distribution
Subplot

Requirements
Laptop, pc, or smartphone

Description
< Step-by-step explanation of more than 5 hours of video lessons on Data Visualization with Python: Complete Masterclass[2023]><Instant reply to your questions asked during lessons><Weekly live talks on data visualization with Python: Complete Masterclass[2023]. You can raise your questions in a live session as well><Helping materials like notes, examples, and exercises><Solution of quizzes and assignments> This course has been designed for data visualization with Python: Complete Masterclass[2023]. The course has explained from basics of python and data science and it finishes on a pro level. The real-life examples of Data Visualization with Python: Complete Masterclass[2023 have been added as well to make the course valuable for the learners. What you will learn:What is Data VisualizationPlot StyleSimple PlotTypes of PlotMultiple PlotsLine PlotScattering in MatplotlibLabeling PlotsScatter PlotsMatplotlib GlitchesColors in ScatteringPlot Vs Scatter PlotBar PlottingMultiple Bar PlotStacked and Sub PlotsHistogram PlotData SetData DistributionSubplotWho are the InstructorsDr. Allah Ditta is your lead instructor - a Ph.D. and lecturer making a living from teaching Python, advanced mathematics, and data science. You'll get premium support and feedback to help you become more confident with data science!We can't wait to see you on the course!Enroll now, and we'll help you improve your data science skills!AD Chauhdry

Overview
Section 1: Introduction

Lecture 1 What is Data Visualization

Lecture 2 Plot Style

Section 2: Simple Plot

Lecture 3 Types of Plot

Lecture 4 Matplotlib inline

Lecture 5 Plotting a Figure

Lecture 6 Sin Plot

Lecture 7 Multiple Plots of Sin and Cos

Section 3: Line Plot

Lecture 8 Styling Line Plot

Lecture 9 Change Type of Line

Section 4: Scattering and Labelling in Matplotlib

Lecture 10 Labeling Plots

Lecture 11 Labeling Plots in Python

Lecture 12 Legends Plotting

Lecture 13 Matplotlib Gotches

Lecture 14 Matplotlib Glotches in Python

Lecture 15 Scatter Plots

Lecture 16 Scattering of Sin Plot

Section 5: Colors Scheme in Scattering and Line Plot

Lecture 17 Colors in Scattering

Lecture 18 Scatter and Line Plot

Lecture 19 Customization of Scatter Plot

Lecture 20 Colors Scheme of Line and Scatter Plots

Lecture 21 Example

Lecture 22 Plot Vs Scatter Plot

Section 6: Bar Plotting

Lecture 23 Bar Plotting

Lecture 24 List Data

Lecture 25 Labeling of Bar Plot

Lecture 26 Multiple Bar Plot

Lecture 27 Multiple Bar Plot in Python

Lecture 28 Plot by Bar Plot

Lecture 29 Adding Labels in Bar Plot

Section 7: Stacked and Sub Plots

Lecture 30 Multiple Line Plots

Lecture 31 Stacked Bar Plot

Lecture 32 Stacked Bar Plot in Python

Lecture 33 Sub Plots

Lecture 34 Labeling Stacked Plots

Section 8: Histogram in Matplotlib

Lecture 35 Histogram Plot

Lecture 36 Histogram in Matplotlib

Lecture 37 Legend Histogram

Lecture 38 Data Set

Lecture 39 Data Distribution

Lecture 40 Subplot of Histogram

Lecture 41 Color Scheme in Histogram

Lecture 42 Data Visualization

Lecture 43 Data Visualization 2

For those who is interested in data visualization

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Code:
https://www.udemy.com/course/data-visualization-with-python-complete-masterclass-2023/



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