Mastering Python, Data Handling, Analysis and Visualization

您好，欢迎来到掌握 Python、数据处理、分析和可视化综合训练营。

数据科学是一个非常广阔的领域，是发展迅速的有前途的领域之一，也是非常有价值的领域之一，并且由于其巨大的重要性和好处而日益扩大，因为它是未来。

数据科学使公司能够衡量、跟踪和记录绩效指标，以促进和加强决策。公司可以分析趋势以做出关键决策，以更好地吸引客户、提高公司绩效并提高盈利能力。

数据科学及其工具的使用取决于您希望它们的用途。

例如，在医疗保健中使用数据科学与在财务和会计中使用数据科学有很大不同，等等。我将向您展示可用于不同领域的数据处理、分析和可视化核心库。

用于数据科学的最强大的编程语言之一是 Python，它是一种简单、简单且非常强大的语言，具有许多库和包，可促进处理复杂和不同类型的数据。

在本课程中，您将从头开始学习如何使用 Python 进行编码，然后您将掌握如何处理与数据科学相关的 Python 语言中最著名的库和工具，从数据收集、获取和分析数据开始，到使用先进的技术可视化数据，并在此基础上由公司做出必要的决策。

我是 Ahmed Ibrahim，一名软件工程师和讲师，我在与编程语言及其应用程序相关的主题上教授了全球超过 200,000 名工程师和开发人员，在本课程中，我们将深入研究 Python 的核心基础知识，高级基础、数据处理库、数值 Python、Pandas、Matplotlib，最后是 seaborn。

我希望你能加入我们的课程，像该领域的专业人士一样掌握用于数据分析和可视化的 Python 语言。

MP4 | Video: h264, 1280×720 | 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 matplotlib
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 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 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, 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!

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!