Mastering Python, Data Handling, Analysis and Visualization

[mitsumi]

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 75 lectures (6h 11m) | Size: 994.5 MB

Build your Practical Python programming skills for Data Handling, Analysis and Visualization with Real Examples

What you'll learn:
Code with Python Programming Language
Python Functional Programming
Structure Data using collection containers
Object-Oriented Design
Advanced Python Foundations
Handling Data with Python Libraries
Numerical Python
Extracting and Analyzing data from different resources
Data Analysis with Pandas
Data Visualization using matDescriptionlib
Advanced Visualization with Seaborn
Build Python solutions for data science
Get Instructor QA Support and help

Requirements
No Python prior experience is required to take this Training
Computer and Internet access

Description
Hello and welcome to Mastering Python, Data Handling, Analysis and Visualization Comprehensive Bootcamp.

Data science is a very wide field, and one of the promising fields that is spreading in a fast way, also, it is one of the very rewarding, and it is increasing in expansion day by day, due to its great importance and benefits, as it is the future.

data science enables companies to measure, track, and record performance metrics for facilitating and enhancing decision making. Companies can analyze trends to make critical decisions to engage customers better, enhance company performance, and increase profitability.

And the employment of data science and its tools depends on the purpose you want from them.

For example, using data science in health care is very different from using data science in finance and accounting, and so on. And I'll show you the core libraries for data handling, analysis and visualization which you can use in different areas.

One of the most powerful programming languages ​​that are used for Data science is Python, which is an easy, simple and very powerful language with many libraries and packages that facilitate working on complex and different types of data.

This course you will cover:

Python tools for Data Analysis

Python Basics

Python Fundamentals

Python Object-Oriented

Advanced Python Foundations

Data Handling with Python

Numerical Python(NumPy)

Data Analysis with Pandas

Data Visualization with MatDescriptionlib

Advanced Graphs with Seaborn

Instructor QA Support and Help

HD Video Training + Working Files + Resources + QA Support.

In this course, you will learn how to code in Python from the beginning and then you will master how to deal with the most famous libraries and tools of the Python language related to data science, starting from data collection, acquiring and analysis data, to visualize data with advanced techniques, and based on that, the necessary decisions are taken by companies.

I am Ahmed Ibrahim, a software engineer and Instructor and I have taught more than 200,000 engineers and developers around the world in topics related to programming languages ​​and their applications, and in this course, we will dive deeply into the core Python fundamentals, Advanced Foundations, Data handling libraries, Numerical Python, Pandas, MatDescriptionlib and finally seaborn.

I hope that you will join us in this course to master the Python language for data analysis and Visualization like professionals in this field.

We have a lot to cover in this course.

Let's get started!

Who this course is for
Python beginners and newbies
Data Scientist who knows other language tools
New Python Data Analysts
Data Science Beginners
New developers and Programmers
Programmers and developers who know other programming language but are new to python
Anyone who wants to use Python for data analysis and visualization in a short time!

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