Data Visualization with Python Masterclass | Python A-Z
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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:
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Fundamental stuff of pyhton and OOP, Overview of Jupyter Notebook and Google Colab.
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What is the Data Science and Data Literacy
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Fundamental stuff of Numpy and Pandas library in data analysis.
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What is Data Vizualization
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The Logic of Matplotlib
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What is Matplotlib
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Using Matplotlib
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Pyplot – Pylab – Matplotlib – Excel
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Figure, Subplot, Multiplot, Axes,
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Figure Customization
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Plot Customization
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Grid, Spines, Ticks
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Basic Plots in Matplotlib
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Overview of Jupyter Notebook and Google Colab
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Seaborn library with these topics
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What is Seaborn
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Controlling Figure Aesthetics
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Color Palettes
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Basic Plots in Seaborn
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Multi-Plots in Seaborn
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Regression Plots and Squarify
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Geoplotlib with these topics
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What is Geoplotlib
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Tile Providers and Custom Layers
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And of course, we enhanced all of it lots of examples with different concept and level. I bet you will like it.
Why would you want to take this course?
Our answer is simple: The quality of teaching.
OAK Academy based in London is an online education company. OAK Academy gives education in the field of IT, Software, Design, development in English, Portuguese, Spanish, Turkish, and a lot of different languages on the Udemy platform where it has over 1000 hours of video education lessons. OAK Academy both increases its education series number by publishing new courses, and it makes students aware of all the innovations of already published courses by upgrading.
When you enroll, you will feel the OAK Academy`s seasoned developers’ expertise. Questions sent by students to our instructors are answered by our instructors within 48 hours at the latest.
Fresh Content
It’s no secret how technology is advancing at a rapid rate. New tools are released every day, and it’s crucial to stay on top of the latest knowledge for being a better Python developer. You will always have up-to-date content for this course at no extra charge.
Video and Audio Production Quality
All our content is created/produced as high-quality video/audio to provide you the best learning experience.
You will be,
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Seeing clearly
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Hearing clearly
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Moving through the course without distractions
You’ll also get:
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Lifetime Access to The Course
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Fast & Friendly Support in the Q&A section
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Udemy Certificate of Completion Ready for Download
Dive in now!
We offer full support, answering any questions.
See you in the class!
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Data Types in PythonIn this lesson, we try to learn what are data types in Python Programming, why we need to use It.
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Operators in Python
In this lesson, we try to learn operators in Python.
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Conditionals
In this lesson, we try to learn conditional statements concept in Ptyhon and why we need to use it.
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Loops
In this lesson, we try to learn loops concept and why we need to use it.
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Lists, Tuples, Dictionaries and Sets in pyhton
Whether you’re interested in learning Tableau, D3.js, After Effects, or Python, has a course for you.
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Data Type Operators and Methods
In this lesson, we try to learn sequence operators and methhods in Python and how to use it.
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Modules in Python
In this course we will learn what is the data visualization and how does it work with python.
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Functions in Python
In this lesson, we try to learn function concept and why we need to use it.
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Exercise - Analyse
In this video, we try to do an exercise about python fundamentals and we analyse this exercise.
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Exercise - Solution
In this video, we try to do exercise with you.
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14
Logic of Object Oriented Programming
In this lesson, we try to learn OOP concept in Python and why we need to use it.
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Constructor
In this lesson, we try to learn what is the constructors in OOP and why we need to use them. Also we try to learn how to use them.
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Methods
In this lesson, we try to learn some useful Methods in OOP and how to use them.
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Inheritance
In this lesson, we try to learn what is inheritance concept in OOP and why we need to use it. Also we try to learn how to use it.
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Overriding and Overloading
In this lesson, we try to learn what are overriding and overloading terms in OOP and what they do. Also we try to learn how to use them.
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What is Data Science
In this lesson, we try to learn what is data science and what it does.
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Data Literacy
In this lesson, we try to learn data literacy concept and what are differences the others in excel.
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21
What is Numpy?
In this lesson, we use numpy library and how to install it machine learning, python data science.
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Why Numpy?
In this course we will learn some fundamental stuff of Python, and OOP. These are our first steps in our Data Visualisation journey.
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Array and features
In this course we will learn some fundamentals of datasciencepython, and OOP. These are our first steps in our Data Visualisation journey.
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Array’s Operators
Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Machine Learning, and more!
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25
Numpy Functions
In this lesson, we try to learn some useful Numpy functions. NumPy, arrays, Slicing, Random Generators, Importing and Saving Data, Statistics, Data Manipulation, Preprocessing
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Indexing and Slicing
Fundamental stuff of Numpy and Pandas library in data analysis.
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Numpy Exercises
In this video, we try to make some different numpy exercise and we try to use our knowledge.
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What is Pandas?
In this lesson, we try to learn what is Pandas library and how to install it.
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Series and Features
In this lesson, we try to learn Series concept in Pandas and how to use its features.
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Data Frame attributes and Methods
In this lesson, we try to learn what is data frames in Pandas and how to use it. Also we try to learn its attributes and methods
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Groupby Operations
In this lesson, we try to learn groupby operations in Pandas library.
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Combining DataFrames I
In this lesson, we try to combine different data frames with concat method.
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Combining DataFrames II
In this lesson, we try to combine different data frames with join and merge methods.
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Work with CSV Files
In this lesson, we try to learn what are the dataset files types and how to use dataset them.
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What is Matplotlib
In this lesson, we try to learn what is data visualization and what is matplotlib.
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Using Pyplot
In this lesson, we try to learn how to use pyplot.
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Pyplot – Pylab - Matplotlib
In this lesson, we try to examine pyplot, pylab and matplotlib terms. What are the differences between them.
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Figure, Subplot and Axes
In this lesson, we try to learn figure, subplot, multiplot and axes term in Matplotlib and what they do.
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Figure Customization
In this lesson, we try to learn how to customization the figure in Matplotlib.
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Plot Customization
In this lesson, we try to examine machine learning methods
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Grid, Spines, Ticks
In this lesson, we try to understand Supervised ML methods
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Basic Plots in Matplotlib I
In this lesson, we try to understand Unsupervised ML methods
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Basic Plots in Matplotlib II
In this lesson, we try to understand how can we gather data
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What is Seaborn?
In this lesson, we try to learn what is Seaborn
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Controlling Figure Aesthetics
In this lesson, we try to understand controlling figure and aesthetics
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Example
In this lesson, we try to do a simple example
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Color Palettes
In this lesson, we try to learn color palettes
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Basic Plots in Seaborn
In this lesson, we continue to learn basic plots in Seaborn
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Multi-Plots in Seaborn
In this lesson, we try to understand multi plots in Seaborn
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Regression Plots and Squarify
In this lesson, we try to understand what is Regression plots and Squarify in Seaborn
