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Mastering Python, Data Handling, Analysis and Visualization

LeeAndro

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Mastering Python, Data Handling, Analysis and Visualization
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

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


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

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 matplotlib

Advanced Visualization with Seaborn

Build Python solutions for data science

Get Instructor QA Support and help

No Python prior experience is required to take this Training

Computer and Internet access

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 Matplotlib

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 bning 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 eeer and Instructor and I have taught more than 200,000 eeers 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, Matplotlib 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!

Python bners and newbies

Data Scientist who knows other language tools

New Python Data Analysts

Data Science Bners

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 !




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