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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-for-data-science-toolbox-bootcamp-coursebeginner-to-advanced/
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课程名称：数据科学 Python 引导课：初级到高级 课程概述： 哈佛大学称数据科学家是21世纪“最性感的工作头衔”。在过去的五年中，数据科学一直被Glassdoor评选为热门职业。数据科学家负责为公司寻找、筛选和组织数据，他们从每天生成的大量数据中挖掘模式，以帮助组织实现战略目标。本课程涵盖了成为一名优秀数据科学家所需的所有知识。 课程内容： - 初步掌握Python编程语言，通过与讲师同步学习和编码，建立扎实的基础。 - 学习高级Python模块和复杂特性，如装饰器、生成器、列表推导式、正则表达式、map、filter函数及集合等。 - 深入学习Python面向对象编程（OOP）技能，包括构造函数、析构函数、私有变量、继承、多态和抽象等。 - 掌握函数的结构，以及如何实现和调用方法，理解其在类中的用途。 - 定义实例属性和类属性，利用条件语句、循环实现逻辑。 - 实践实施和练习，与讲师同步编写代码。 - 深入理解Pandas数据结构，掌握Series和DataFrame的使用，包括GroupBy、切片、聚合和透视等操作。 - 学习如何从网页、pickle、Excel等读取数据，并实现高级Pandas DataFrame操作，如多重索引、堆叠和分层索引等。 - 了解如何导入、清理和合并杂乱数据，为机器学习做准备，包括高效合并多个数据集和智能填充缺失值等。 - 学习NumPy用于数值数据的基本和高级功能，理解如何使用Jupyter Notebook和创建.py文件。 - 具备足够的Python技能，自信申请科技公司的Python编程职位，并为转向机器学习、数据科学和后端开发等领域做好准备。 - 本课程强调快速、简单地从零开始学习Python编程，通过实际示例帮助掌握Python编程的基本概念。 - 包含多个小测验，以巩固概念并检验理解能力。 通过本课程，您可以立即开始您的数据科学之旅，实现成为大公司开发者和数据科学家/机器学习工程师的目标。快来加入我们吧！
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 HandlingImplement DataFrames in depthImplement GroupBy, Slicing, Aggregates and Reshaping With PivotsJoin, 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 LearningMerge and Concatenate many Datasets efficiently.Scale and Automate data mergingClean 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 DataYou will learn basic and advanced features in NumPy (Numerical Python)Learn and practice all relevant Pandas methods and workflows with Real-World DatasetsUnderstand 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.
