Python和pandas数据操作基础入门教程

本入门级Python和pandas数据操作培训旨在帮助数据从业者使用Pandas来操作和分析来自大大小小多个来源的数据

如果您第一次偶然发现计量经济学中用于多维结构化数据集转换的Python库的名称，您应该知道Pandas是一个非常非常强大的数据分析和操作工具的一个看似可爱的名称。如果你使用Python来分析数据，Pandas可以说是数据管理的唯一工具——将原始数据转换成不同的格式，以便更有用。CBTNuggets – Python and pandas for Data Manipulation

在这个熊猫课程之后，你将快速而容易地选择、过滤、分类、清理和组合你的数据。

对于领导IT团队的任何人来说，这种开源培训可以用于培养新的数据从业者，整理成个人或团队培训计划，或者作为开源参考资源。

MP4 |视频:h264，1920×1080 |音频:AAC，44.1 KHz，2声道
语言：英语+中英文字幕（云桥CG资源站机译）|时长:113节课(17小时)|大小:16.2 GB


用于数据操作的Python和pandas:你需要知道的
本Python和pandas数据操作培训视频涵盖了以下主题

从数字中提取意义
管理大型数据源并从中提取正确的数据
导入、清除和计算统计数据
可视化数据并做出更明智的决策

谁该拿Python和熊猫做数据操作训练？
这个Python和Pandas的数据操作培训被认为是基础级别的开源培训，这意味着它是为数据从业者设计的。对于拥有至少一年数据科学经验的新IT专业人员和希望验证其数据技能的经验丰富的数据从业者来说，本Python技能课程非常有价值。

新的或有抱负的数据从业者。在你的数据科学或数据分析职业生涯中，几乎没有时间去接受熊猫培训。当然，重要的是先学习基础知识，而不是跳到高级工具。但是正如这个熊猫课程所展示的，数据操作和导入不仅仅是对熊猫来说更容易——在某些情况下，这是唯一可能的。

经验丰富的数据从业者。如果你已经和数据打交道好几年了，你可能已经见过熊猫能做的一些事情。也许当你看到它们的时候你甚至没有意识到，但是熊猫和数据帧使得在一个超凡脱俗的水平上提取、过滤和转换真实世界的数据成为可能。本课程向您展示如何使用Pandas并推进您的数据职业生涯。


This entry-level Python and Pandas for Data Manipulation training prepares data practitioners to manipulate and analyze data coming in from multiple sources, big and small, with pandas

If it’s your first time stumbling across the name of the Python library that’s used in econometrics for multidimensional structured data set conversion, you should know that Pandas is a deceptively cute name for a really, really powerful data analysis and manipulation tool. If you’re using Python to analyze data, Pandas is arguably the only tool for data munging – transforming raw data into a different format so that it’s more useful.

After this Pandas course, you’ll be selecting, filtering, sorting, cleaning and combining your data quickly and easily.

For anyone who leads an IT team, this open source training can be used to onboard new data practitioners, curated into individual or team training plans, or as an open source reference resource.

Python and pandas for Data Manipulation: What You Need to Know
This Python and pandas for Data Manipulation training has videos that cover topics such as

Extracting meaning from numbers
Managing large data sources and extracting the right data from them
Importing, cleaning, and calculating statistics
Visualizing data and making smarter decisions

Who Should Take Python and pandas for Data Manipulation Training?
This Python and Pandas for Data Manipulation training is considered foundational-level open source training, which means it was designed for data practitioners. This Python skills course is valuable for new IT professionals with at least a year of experience with data science and experienced data practitioners looking to validate their data skills.

New or aspiring data practitioners. There’s almost no time in your data science or data analysis career that’s too early to take Pandas training. Of course, it’s important to learn the fundamentals first without skipping ahead to advanced tools. But as this Pandas course shows, data manipulation and importing isn’t just easier – in some cases, it’s only possible – with Pandas.

Experienced data practitioners. If you’ve been working with data for several years already, you’ve probably seen some of the things Pandas can do. Maybe you didn’t even realize it when you saw them, but Pandas and DataFrames make it possible to extract, filter and transform real-world data at an otherworldly level. This course shows you how to use Pandas and advance your data career.