| 1. Data Types in Python.mp4 | 41.1 MB | ||
| 1. Installing Anaconda Distribution and Python.mp4 | 16.8 MB | ||
| 1. Introduction to Data Visualization with Python.mp4 | 12 MB | ||
| 1. Logic of Object Oriented Programming.mp4 | 16.4 MB | ||
| 1. What is Data Science.mp4 | 22.7 MB | ||
| 1. What is Geoplotlib.mp4 | 32.2 MB | ||
| 1. What is Matplotlib.mp4 | 17.9 MB | ||
| 1. What is Seaborn.mp4 | 12.9 MB | ||
| 10. Exercise - Solution.mp4 | 47.7 MB | ||
| 10. What is Pandas.mp4 | 22.3 MB | ||
| 11. Series and Features.mp4 | 83.5 MB | ||
| 12. Data Frame attributes and Methods.mp4 | 186.4 MB | ||
| 13. Groupby Operations.mp4 | 57.3 MB | ||
| 14. Combining DataFrames I.mp4 | 110.2 MB | ||
| 15. Combining DataFrames II.mp4 | 88.6 MB | ||
| 16. Work with CSV Files.mp4 | 74.2 MB | ||
| 2. Constructor.mp4 | 27.5 MB | ||
| 2. Controlling Figure Aesthetics.mp4 | 39.2 MB | ||
| 2. Data Literacy.mp4 | 10.3 MB | ||
| 2. Example - 1.mp4 | 36.4 MB | ||
| 2. Operators in Python.mp4 | 29.6 MB | ||
| 2. Overview of Jupyter Notebook and Google Colab.mp4 | 18.6 MB | ||
| 2. Using Pyplot.mp4 | 26.5 MB | ||
| 3. Conditionals.mp4 | 34.6 MB | ||
| 3. Example - 2.mp4 | 76.3 MB | ||
| 3. Example.mp4 | 51.3 MB | ||
| 3. Methods.jpeg | 157.2 KB | ||
| 3. Methods.mp4 | 23.6 MB | ||
| 3. Pyplot – Pylab - Matplotlib.mp4 | 26.6 MB | ||
| 3. What is Numpy.mp4 | 26.7 MB | ||
| 4. Color Palettes.mp4 | 45.4 MB | ||
| 4. Example - 3.mp4 | 47.8 MB | ||
| 4. Figure, Subplot and Axes.mp4 | 65.7 MB | ||
| 4. Inheritance.mp4 | 32.6 MB | ||
| 4. Loops.mp4 | 49.1 MB | ||
| 4. Why Numpy.mp4 | 13.6 MB | ||
| 5. Array and features.mp4 | 47.9 MB | ||
| 5. Basic Plots in Seaborn.mp4 | 92.8 MB | ||
| 5. Figure Customization.mp4 | 59 MB | ||
| 5. Lists, Tuples, Dictionaries and Sets in pyhton.mp4 | 66.3 MB | ||
| 5. Overriding and Overloading.mp4 | 58.8 MB | ||
| 6. Array’s Operators.mp4 | 17.6 MB | ||
| 6. Data Type Operators and Methods.mp4 | 40.5 MB | ||
| 6. Multi-Plots in Seaborn.mp4 | 40.9 MB | ||
| 6. Plot Customization.mp4 | 25.8 MB | ||
| 7. Grid, Spines, Ticks.mp4 | 22.4 MB | ||
| 7. Modules in Python.mp4 | 21.1 MB | ||
| 7. Numpy Functions.mp4 | 78.5 MB | ||
| 7. Regression Plots and Squarify.mp4 | 56.5 MB | ||
| 8. Basic Plots in Matplotlib I.mp4 | 104.4 MB | ||
| 8. Functions in Python.mp4 | 26.1 MB | ||
| 8. Indexing and Slicing.mp4 | 40.4 MB | ||
| 9. Basic Plots in Matplotlib II.mp4 | 51.5 MB | ||
| 9. Exercise - Analyse.mp4 | 5.7 MB | ||
| 9. Numpy Exercises.mp4 | 74.2 MB | ||
| Bonus Resources.txt | 307.2 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 57 total files | |||
Data Visualization with Python Masterclass | Python A-Z
Created by Oak Academy | Published 7/2021
Duration: 9h 49m | 8 sections | 54 lectures | Video: 1280x720, 44 KHz | 2.4 GB
Genre: eLearning | Language: English + Sub
Learn python and how to use it to data analysis and visualization, present data. Includes codes of data vizualisation.
What you'll learn
Fundamental stuff of Python and OOP
What is the Data Science and Data Literacy
Fundamental stuff of Numpy and Pandas library
What is Data Visualization
The Logic of Matplotlib
What is Matplotlib
Using Matplotlib
Pyplot – Pylab - Matplotlib
Figure, Subplot, Multiplot, Axes,
Figure Customization
Data Visualization
Plot Customization
Grid, Spines, Ticks
Basic Plots in Matplotlib
Seaborn library with these topics
What is Seaborn
Controlling Figure Aesthetics
Color Palettes
Basic Plots in Seaborn
Multi-Plots in Seaborn
Regression Plots and Squarify
Geoplotlib with these topics
Data Vizualisation
What is Geoplotlib
Tile Providers and Custom Layers
Ptyhon
Data Vizualization
Data Science
Machine Learning
data analysis and visualization
Data Visualisation
Because data can mean an endless number of things, it’s important to choose the right visualization tools for the job.
you’re interested in learning Tableau, D3 js, After Effects, or Python, has a course for you.
Python Programming
Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Machine Learning, and more!
Show more
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Requirements
You'll need a desktop computer (Windows, Mac) capable of running Anaconda 3 or newer. We will show you how to install the necessary free software.A little bit of coding experience.At least high school level math skills will be required.
Description
Hello dear friends.
Welcome to the "Data Visualization with Python Masterclass | Python A-Z" course.
Because data can mean an endless number of things, it’s important to choose the right visualization tools for the job. Whether you’re interested in learning Tableau, D3.js, After Effects, or Python, Udemy has a course for you.
In this course, we will learn what is data visualization and how does it work with python.
This course has suitable for everybody who interested data vizualisation concept.
First of all, in this course, we will learn some fundamentals of pyhton, and object oriented programming ( OOP ). These are our first steps in our Data Visualisation journey. After then we take our journey to the Data Science world. Here we will take a look at data literacy and data science concepts. Then we will arrive at our next stop. Numpy library. Here we learn what is numpy and how we can use it. After then we arrive at our next stop. Pandas library. And now our journey becomes an adventure. In this adventure we'll enter the Matplotlib world then we exit the Seaborn world. Then we'll try to understand how we can visualize our data, data viz. But our journey won’t be over. Then we will arrive our final destination. Geographical drawing or best known as Geoplotlib in tableau data visualization.
Learn python and how to use it to python data analysis and visualization, present data. Includes tons of code data vizualisation.
In this course, you will learn data analysis and visualization in detail.
Also during the course you will learn:
Fundamental stuff of pyhton and OOP, Overview of Jupyter Notebook and Google Colab.
What is the Data Science and Data Literacy
Fundamental stuff of Numpy and Pandas library in data analysis.
What is Data Vizualization
The Logic of Matplotlib
What is Matplotlib
Using Matplotlib
Pyplot – Pylab - Matplotlib - Excel
Figure, Subplot, Multiplot, Axes,
Figure Customization
Plot Customization
Grid, Spines, Ticks
Basic Plots in Matplotlib
Overview of Jupyter Notebook and Google Colab
Download More Courses Visit and Support Us -->> https://FreeCourseWeb.com
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