|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-manipulation-in-python-a-pandas-crash-course/
课程评论：没有评论
**课程名称：** Python 数据处理：Pandas 速成班 2025 **课程概述：** 在现实世界中，数据往往杂乱无章，因此 Python 库 Pandas 显得尤为重要。 如果数据处理拖慢了您的数据分析流程，本课程将是您重拾掌控权的关键。 掌控您的数据，而不是被数据所困！ 当数据处理和准备工作占到数据科学家工作的 80% 时，学习能够尽可能高效地将原始数据转化为最终分析产品的“数据杂烩”技术，对于成功至关重要。 使用 Python Pandas 库进行数据分析，可以帮助您更轻松地取得更好的结果，提高工作效率，将更多时间用于解决问题，减少数据整理工作，并更有效地传达您的见解。 本课程正是为此而准备！ 通过 Pandas DataFrame，您将学习高级数据处理、准备、排序、混合和数据清理方法，将混乱的数据片段转化为最终的预分析产品。 这正是 Pandas 成为数据科学领域最受欢迎的 Python 库的原因，也是 Google、Facebook、JP Morgan 以及几乎所有分析数据的知名公司的数据科学家使用 Pandas 的原因。 如果您想学习如何高效地利用 Pandas 来处理、转换、透视、堆叠、合并和聚合数据，为可视化、统计分析或机器学习做好准备，那么本课程适合您。 **您将从讲师 Ph.D. Samuel Hinton 处学到：** * 掌握通用和高级的 Pandas 数据处理技术，尽可能高效地将原始数据转化为最终分析产品。 * 通过将更多时间用于解决问题、减少数据整理工作来取得更好的结果。 * 学习如何塑造和处理数据，使统计分析和机器学习尽可能简单。 * 使用最新版本的 Python 和行业标准的 Pandas 库。 **使用 Python Pandas 库进行数据分析的优势和您将克服的挑战：** 本课程将帮助您克服使用 Pandas 进行数据分析时可能遇到的挑战，并充分发挥其优势。
n the real-world, data is anything but clean, which is why Python libraries like Pandas are so valuable.If data manipulation is setting your data analysis workflow behind then this course is the key to taking your power back.Own your data, don't let your data own you!When data manipulation and preparation accounts for up to 80% of your work as a data scientist, learning data munging techniques that take raw data to a final product for analysis as efficiently as possible is essential for success.Data analysis with Python library Pandas makes it easier for you to achieve better results, increase your productivity, spend more time problem-solving and less time data-wrangling, and communicate your insights more effectively.This course prepares you to do just that!With Pandas DataFrame, prepare to learn advanced data manipulation, preparation, sorting, blending, and data cleaning approaches to turn chaotic bits of data into a final pre-analysis product. This is exactly why Pandas is the most popular Python library in data science and why data scientists at Google, Facebook, JP Morgan, and nearly every other major company that analyzes data use Pandas.If you want to learn how to efficiently utilize Pandas to manipulate, transform, pivot, stack, merge and aggregate your data for preparation of visualization, statistical analysis, or machine learning, then this course is for you.Here's what you can expect when you enrolled with your instructor, Ph.D. Samuel Hinton:Learn common and advanced Pandas data manipulation techniques to take raw data to a final product for analysis as efficiently as possible.Achieve better results by spending more time problem-solving and less time data-wrangling.Learn how to shape and manipulate data to make statistical analysis and machine learning as simple as possible.Utilize the latest version of Python and the industry-standard Pandas library.Performing data analysis with Python's Pandas library can help you do a lot, but it does have its downsides. And this course helps you beat them head-on:
