Python Data visualization: Python data analysis and visualization, Machine Learning, Deep Learning, Pandas, Matplotlib

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 Visualization, python data analysis and visualization

Data Science, python data science

Machine Learning, 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!

Python data analysis and visualization

Statistics alone can fall flat. That’s why data visualization is so important to communicating the meaning behind data sets.

Good visualizations can magically transform complex data analysis into appealing and easily understood representations that in turn inform smarter.

Data visualization is the graphical representation of information and data. It is a storytelling tool that provides a way to communicate the meaning behind.

There are a variety of popular data visualization tools used by professionals in a variety of settings and at all levels.

Some of the most widely utilized platforms include Microsoft Excel, Tableau, Python, and R; OAK offers courses that can get you up to speed on all of these.

While there are specific careers that require data visualization skills, such as data scientist, data engineer, and business intelligence analyst.

Some of the most common examples include charts (area, bar, and pie), tables (highlight and text), graphs (bullet and wedge stack)

Data analysis is the practice of gathering, processing, and modeling quantitative and qualitative data to extract factors to make informed decisions.

What is data analysis? Data analysis is the process of studying or manipulating a dataset to gain some sort of insight.

What skills do I need to be a data analyst? To be a data analyst, you’ll need technical skills to analyze data and report insights successfully.

What jobs use data analysis? Data analysts are in every industry, and their job titles can vary.

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 for data visualization using python

At least high school level math skills will be required for data vizualisation.

Python Coding skills are a plus

Desire to learn Seaborn

Desire to work on Geoplotlib

Desire to learn data analysis and visualization

Desire to learn numpy, python numpy

Desire to learn pandas, python pandas

Desire to learn data analysis, python, data visualization

Data_Visualization_with_Python_Masterclass__Python_A-Z.part1.rar - 995.0 MB

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