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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-bootcamp-for-data-science-2021-numpy-pandas-seaborn/
课程评论：没有评论
课程名称：2022 Python 数据科学训练营：Numpy、Pandas 与 Seaborn 课程概述： 这个课程非常适合希望踏上数据科学之路的你！数据科学家是当前美国和欧洲最热门的工作之一，具有高薪的职业生涯。海量数据的出现彻底变革了企业，善于利用大数据的公司在竞争中占据优势。这些公司需要能够处理、管理、分析和理解数据趋势的数据科学家。本课程旨在为初学者和希望扩展数据科学知识的有经验开发者提供学习平台。 课程结构充分考虑了自学者的需求，提供了一套完整的视频库，未来可作为参考。每一节课都专注于使用Python库进行数据操作的单一技能。通过本课程，你将学习如何利用Python对数据进行处理、探索和分析，并创建美丽的可视化图表。这门课程相当于通常售价数千美元的数据科学训练营，而在这里你能够以极低的成本学习所有相关知识！课程包含90多节高清讲座，每节课提供详细的代码笔记，内容丰富，是Udemy上使用Python进行数据科学最全面的课程之一。 课程内容包括： - 设置Python环境 - 使用Jupyter Notebook - 学习用于数据科学的数据结构和序列 - 在Python中创建函数 - 精通NumPy数组 - 精通Pandas数据框和系列 - 学习数据清洗和预处理 - 精通数据整理 - 学习分层索引 - 学习合并和连接数据集 - 学习重塑和透视数据框 - 使用Matplotlib、Pandas和Seaborn进行优秀的数据可视化 - 操作时间序列 - 通过真实数据分析实例进行实践 快来报名参加课程，开始你的数据科学家之路吧！
This course is ideal for you, if you wish is to start your path to becoming a Data Scientist!Data Scientist is one of the hottest jobs recently the United States and in Europe and it is a rewarding career with a high average salary.The massive amount of data has revolutionized companies and those who have used these big data has an edge in competition. These companies need data scientist who are proficient at handling, managing, analyzing, and understanding trends in data.This course is designed for both beginners with some programming experience or experienced developers looking to extend their knowledge in Data Science!I have organized this course to be used as a video library for you so that you can use it in the future as a reference. Every lecture in this comprehensive course covers a single skill in data manipulation using Python libraries for data science.In this comprehensive course, I will guide you to learn how to use the power of Python to manipulate, explore, and analyze data, and to create beautiful visualizations.My course is equivalent to Data Science bootcamps that usually cost thousands of dollars. Here, I give you the opportunity to learn all that information at a fraction of the cost! With over 90 HD video lectures, including all examples presented in this course which are provided in detailed code notebooks for every lecture. This course is one of the most comprehensive course for using Python for data science on Udemy!I will teach you how to use Python to manipulate and to explore raw datasets, how to use python libraries for data science such as Pandas, NumPy, Matplotlib, and Seaborn, how to use the most common data structures for data science in python, how to create amazing data visualizations, and most importantly how to prepare your datasets for advanced data analysis and machine learning models.Here a few of the topics that you will be learning in this comprehensive course:How to Set Your Python EnvironmentHow to Work with Jupyter NotebooksLearning Data Structures and Sequences for Data Science In PythonHow to Create Functions in PythonMastering NumPy ArraysMastering Pandas Dataframe and SeriesLearning Data Cleaning and PreprocessingMastering Data WranglingLearning Hierarchical IndexingLearning Combining and Merging DatasetsLearning Reshaping and Pivoting DataFramesMastering Data Visualizations with Matplotlib, Pandas and SeabornManipulating Time SeriesPracticing with Real World Data Analysis ExampleEnroll in the course and start your path to becoming a data scientist today!
