CBTNuggets – Python and pandas for Data Manipulation

此入门级 Python 和 Pandas 数据操作培训使数据从业者准备好使用 pandas 操作和分析来自多个来源（无论大小）的数据

如果这是您第一次偶然发现在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看似可爱的名称。如果您使用 Python 分析数据，Pandas 可以说是唯一的数据处理工具——将原始数据转换为不同的格式，使其更有用。

完成本 Pandas 课程后，您将快速轻松地选择、过滤、排序、清理和组合您的数据。

对于领导 IT 团队的任何人，此开源培训可用于培训新的数据从业人员、策划到个人或团队培训计划中，或作为开源参考资源。

用于数据操作的 Python 和 pandas：您需要了解
的内容

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、清理和计算统计数据
可视化数据并做出更明智的决策

谁应该使用 Python 和 pandas 进行数据操作培训？
这种用于数据操作的 Python 和 Pandas 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。这门 Python 技能课程对于具有至少一年数据科学经验的新 IT 专业人士和希望验证其数据技能的经验丰富的数据从业者来说非常有价值。

新的或有抱负的数据从业者。在您的数据科学或数据分析职业生涯中，几乎没有时间接受 Pandas 培训还为时过早。当然，重要的是首先学习基础知识而不跳到高级工具。但正如本 Pandas 课程所示，数据操作和导入不仅更容易——在某些情况下，这只是可能的——使用 Pandas。

经验丰富的数据从业者。如果您已经使用数据多年，您可能已经看到了 Pandas 可以做的一些事情。也许您在看到它们时甚至都没有意识到，但 Pandas 和 DataFrames 使得在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 并推进您的数据事业。

Published 05/2022
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 113 Lessons (17h) | Size: 10.7 GB

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.