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所在平台: Udemy |
课程主页: https://www.udemy.com/course/pandas-with-python-for-data-science-examturf/
课程评论：没有评论
**课程名称：** Pandas with Python for Data Science (Python Pandas 数据科学课程) **课程概述：** 本课程旨在帮助学员精通使用 Python 的 Pandas 库进行数据处理和分析。通过学习 Pandas，学员将能够熟练掌握数据科学的基础概念，并运用 Pandas 库解决实际问题。 **课程内容亮点：** * **Pandas 基础入门：** 介绍 Pandas 库的背景、功能以及其在数据科学领域的应用。 * **环境搭建：** 指导学员安装和配置 Jupyter 交互式开发环境。 * **数据处理核心：** * 掌握使用 Pandas 读取各种格式的数据。 * 深入理解 Series 和 DataFrame 的概念及区别。 * 学习 Pandas 的基本操作，包括数据选择、切片、索引等。 * 进行数据分析，包括重命名列、排序、筛选数据（基于条件和函数）、读取特定列和行等。 **课程目标：** 让学员 fully 掌握使用 Pandas 库进行数据分析所需的全部技能，为成为一名优秀的数据科学从业者打下坚实的基础。
The goal of this course is to make the trainees expert on working with Pandas python libraries. This training will be helping folks to achieve proficiency in introducing the concept of data science with the help of libraries that we will be covering here. This course has been focused on training on Pandas. All the concepts that revolve around these libraries will be detailed very precisely through this course. The sole objective of this course is to enrich the trainees with the entire set of skills that are required to work with these python-based libraries. In this unit, you will get to learn about the basics of these libraries, what it can offer, and what kind of problems could be solved using these libraries. The initial hour in this unit has been given to explain the introduction while the rest of the time has been devoted to explaining the main concepts.Pandas is an open-source, BSD-licensed Python library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. This Python course will get you up and running with using Python for data analysis and visualization. The training will include the following: Installing JupyterJupyter EnvironmentRead data using PandasSeries vs Data FrameBasic Operations in PandasAnalyze the imported dataRenaming ColumnsSortingFiltering DataFiltering FunctionRead Selective Columns & Rows
