数据科学Python训练营课程:从初级到高级 Python for Data Science Bootcamp Course:Beginner to Advanced

通过代码实现、示例等，掌握您需要了解的关于Python、Pandas和Numpy的一切！

你会学到什么
通过代码实现、示例等，掌握您需要了解的关于Python、Pandas和Numpy的一切！
学习高级Python模块和复杂功能，如Python装饰器、生成器、理解、正则表达式、映射、过滤函数、集合
通过与讲师同时学习和编码，建立对Python编程语言的初级理解。
建立完整的Python面向对象编程(OOP)技能。
学习如何用函数给程序赋予结构。
通过例子学习构造函数、析构函数、私有变量、继承、多态、抽象
实现和调用方法。了解他们上课的目的。
定义实例属性和类属性。
使用条件语句定义逻辑，循环。
实践实施和练习(与讲师同时进行编码)。
深入了解熊猫的数据结构。
一目了然地学习系列-系列方法和处理
深度实现数据帧
使用枢轴实现分组、切片、聚合和整形
连接、熔化、剪切、转换、清理、过滤、分组、透视、合并和操作任何数据集。
练习从熊猫体内的网络、泡菜、Excel文件中读取数据。
实现先进的熊猫数据帧操作:多重索引，堆叠，分级索引，旋转，融化等等。
导入、清理和合并杂乱的数据，并为机器学习准备数据
高效地合并和连接多个数据集。
扩展和自动化数据合并
轻松清理和格式化数据。
检测并智能填充缺失值。
对你的数据进行分组、汇总和总结。
用熊猫和python实现重要的方法、属性和技术来操作数据。
学习对数字数据使用数值方法
学习NumPy(数值Python)中的基本和高级功能
通过真实数据集学习和实践所有相关的熊猫方法和工作流程
了解如何使用Jupyter笔记本和创建。py文件。
获得进入不同领域的必备Python技能——机器学习、数据科学、后端开发等。
具备Python、Pandas和Numpy的技能和理解，可以自信地申请科技公司的Python编程工作。

流派:电子学习| MP4 |视频:h264，1280×720 |音频:AAC，44.1 KHz
语言：英语+中英文字幕（云桥网络 机译）|大小解压后:2.3 GB |时长:7h 25m

描述
哈佛大学将一位数据科学家评为“21世纪最性感的职位”。在过去的5年里，数据科学一直被Glassdoor列为顶级职业。数据科学家负责为公司寻找、过滤和组织数据。他们通过每天生成的大量数据进行探索，以找到有利于组织的模式，同时帮助实现他们的战略目标。本课程涵盖了成为杰出数据科学家所需了解的一切。

本课程涵盖的主题(深度):

通过与讲师同时学习和编码，建立对Python编程语言的初级理解。

学习高级Python模块和复杂功能，如Python装饰器、生成器、理解、正则表达式、映射、过滤函数、集合等。

建立完整的Python面向对象编程(OOP)技能。

学习如何用函数给程序赋予结构。

学习构造函数，析构函数，私有变量，继承，多态，抽象和例子。

实现和调用方法。了解他们上课的目的。

定义实例属性和类属性。

使用条件语句定义逻辑，循环。

实践实施和练习(与讲师同时进行编码)。

深入了解熊猫的数据结构。

一目了然地学习系列-系列方法和处理

深度实现数据帧

使用枢轴实现分组、切片、聚合和整形

连接、熔化、剪切、转换、清理、过滤、分组、透视、合并和操作任何数据集。

练习从熊猫体内的网络、泡菜、Excel文件中读取数据。

实现先进的熊猫数据帧操作:多重索引，堆叠，分级索引，旋转，融化等等。

导入、清理和合并杂乱的数据，并为机器学习准备数据

高效地合并和连接多个数据集。

扩展和自动化数据合并

轻松清理和格式化数据。

检测并智能填充缺失值。

对数据进行分组、汇总和汇总。

用熊猫和python实现重要的方法、属性和技术来操作数据。

学习对数字数据使用数值方法

您将在NumPy(数值Python)中学习基本和高级功能

通过真实数据集学习和实践所有相关的熊猫方法和工作流程

了解如何使用Jupyter笔记本和创建。py文件。

有Python的技能和理解，可以自信地申请Tech公司的Python编程工作。

获得进入不同领域的必备Python技能——机器学习、数据科学、后端开发等。

了解如何创建自己的Python程序。

向经验丰富的专业软件开发人员学习Python。

本课程通过从零开始的示例，教您Python编程语言快速简便的方法。

许多小测验来掌握概念和测试你的理解。

掌握Python编程的基本概念。

作为大科技公司的开发人员和数据科学家/机器学习工程师，开始您的旅程。

只需这一门课程，您就可以立即开始您的数据科学之旅！去吧。

这门课是给谁上的:
初级Python程序员
数据科学爱好者和专业人士
任何想进入数据科学和机器学习的人
每个想要掌握庞大、混乱和不干净数据集的人
数据科学家和机器学习
任何对使用python掌握数据分析感兴趣的人
任何想深入了解和掌握蟒蛇、熊猫和Numpy的人
希望提高数据处理/数据操作技能的数据科学家。

Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.16 GB | Duration: 7h 25m
Master Everything you need to know about Python, Pandas and Numpy with Code Implementations, Examples and many more!

What you’ll learn
Master Everything you need to know about Python, Pandas and Numpy with Code Implementations, Examples and many more!
Learn Advanced Python modules and complex features such as Python Decorators, Generators, Comprehensions, Regular Expressions, Map, Filter functions, collection
Build a solid beginner-level understanding of the Python programming language by learning and coding simultaneously with Instructor.
Build thorough Python Object-Oriented Programming (OOP) skills.
Learn how to give structure to the program with Functions.
Learn Constructor, destructor, private variables, Inheritance, Polymorphism, Abstraction with Example
Implement and call methods. Understand their purpose within classes.
Define instance attributes and class attributes.
Define logic using conditional statements, looping.
Hands-On Implementations and Exercises( Code with Instructor simultaneously).
Gain a deep and hands-on understanding of pandas data structures.
Learn Series at a Glance – Series Methods and Handling
Implement DataFrames in depth
Implement GroupBy, Slicing, Aggregates and Reshaping With Pivots
Join, Melt, cut, transform, clean, filter, groupby, pivot, merge and otherwise manipulate any dataset.
Practice reading data from the web, pickles, Excel files right within pandas.
Implement advance Pandas DataFrame manipulations: multiIndexing, stacking, hierarchical indexing, pivoting, melting and more.
Import, clean, and merge messy Data and prepare Data for Machine Learning
Merge and Concatenate many Datasets efficiently.
Scale and Automate data merging
Clean and format data easily.
Detect and intelligently fill missing values.
Group, aggregate and summarise your data.
Implement important methods, attributes, and techniques to manipulate data in pandas and python.
Learn to use NumPy for Numerical Data
Learn basic and advanced features in NumPy (Numerical Python)
Learn and practice all relevant Pandas methods and workflows with Real-World Datasets
Understand how to use both the Jupyter Notebook and create .py files.
Acquire the pre-requisite Python skills to move into different areas – Machine Learning, Data Science, Backend Development etc.
Have the skills and understanding of Python, Pandas and Numpy to confidently apply for Python programming jobs at Tech companies.

Description
Harvard University has named a data scientist as the ‘sexiest job title of the 21st century’. For the last 5 years, data science has been featured as a top career by Glassdoor. Data scientists are responsible for finding, filtering, and organizing data for companies. They explore through large piles of data generated every single day to find patterns that will benefit an organization, and at the same time, help to fulfill their strategic goals. This course covers everything you need to know in order to become a brilliant data scientist.

Topics Covered in this course (in depth):

Build a solid beginner-level understanding of the Python programming language by learning and coding simultaneously with Instructor.

Learn Advanced Python modules and complex features such as Python Decorators, Generators, Comprehensions, Regular Expressions, Map, Filter functions, collections etc.

Build thorough Python Object-Oriented Programming (OOP) skills.

Learn how to give structure to the program with Functions.

Learn Constructor, destructor, private variables, Inheritance, Polymorphism, Abstraction with Example.

Implement and call methods. Understand their purpose within classes.

Define instance attributes and class attributes.

Define logic using conditional statements, looping.

Hands-On Implementations and Exercises( Code with Instructor simultaneously).

Gain a deep and hands-on understanding of pandas data structures.

Learn Series at a Glance – Series Methods and Handling

Implement DataFrames in depth

Implement GroupBy, Slicing, Aggregates and Reshaping With Pivots

Join, Melt, cut, transform, clean, filter, groupby, pivot, merge and otherwise manipulate any dataset.

Practice reading data from the web, pickles, Excel files right within pandas.

Implement advance Pandas DataFrame manipulations: multiIndexing, stacking, hierarchical indexing, pivoting, melting and more.

Import, clean, and merge messy Data and prepare Data for Machine Learning

Merge and Concatenate many Datasets efficiently.

Scale and Automate data merging

Clean and format data easily.

Detect and intelligently fill missing values.

Group, aggregate and summarize your data.

Implement important methods, attributes, and techniques to manipulate data in pandas and python.

Learn to use NumPy for Numerical Data

You will learn basic and advanced features in NumPy (Numerical Python)

Learn and practice all relevant Pandas methods and workflows with Real-World Datasets

Understand how to use both the Jupyter Notebook and create .py files.

Have the skills and understanding of Python to confidently apply for Python programming jobs at Tech companies.

Acquire the pre-requisite Python skills to move into different areas – Machine Learning, Data Science, Backend Development etc.

Understand how to create your own Python programs.

Learn Python from experienced professional software developers.

This course teaches you Python Programming Language Fast And Easy Way With Examples From Scratch.

Many Quizzes to master the concepts and test your understanding.

Grasp ESSENTIAL concepts of Python programming.

Start your journey as a developer and data scientist/Machine Learning Engineer with Big Tech Companies.

With this just one course you can start your data science journey right away! Go for it.

Who this course is for:
Beginner Python programmers
Data Science Enthusiasts and professionals
Anyone who wants to get into data science and Machine learning
Everyone who wants to master large, messy and unclean Datasets
Data Scientists and Machine Learning
Anyone interested in mastering data analysis with python
Anyone looking to deeply understand and master python, pandas and Numpy
Data Scientists who want to improve their Data Handling/Data Manipulation skills.
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