|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-data-analysis-and-visualization-hands-on-training/
课程评论：没有评论
课程名称：Python+数据分析与可视化实践培训 课程概述：本课程旨在培养学员在Python编程及其广泛应用的库（如Numpy、Pandas、Matplotlib和Seaborn）进行数据分析、处理和可视化的能力。课程内容主要以印地语授课，涵盖从基础到高级的Python知识，配以相关示例和实践练习。在学习完Python基础后，我们将深入讨论Numpy、Pandas、Matplotlib和Seaborn，并利用这些库中的实例数据集进行实践。课程中，我们将使用Pandas数据框架加载数据集，展示Pandas在数据处理和分析方面的强大能力，以及Python编程的高效性。我们将讨论Matplotlib——数据可视化的传统库，打下基础后，进阶到使用Seaborn创建现代化、高级的图表，深入挖掘数据的内在见解。 课程学习内容包括： - Anaconda发行版和Python的安装与入门 - Python的基本概念：数据类型、变量、操作符 - 控制结构：条件语句、循环、列表推导式 - Python中的数据结构 - 函数与异常处理 - 装饰器、映射器、生成器、过滤器 - 文件处理与正则表达式 - 模块与包：使用与创建面向对象编程（OOP） - 数据分析与可视化库：Numpy、Pandas、Matplotlib、Seaborn 课程的主要特色： 1. 通过直播录制的实践培训，帮助深入理解每个概念。 2. 提供一系列相关的最佳示例，清晰阐明概念，并配有实践练习。 3. 课程录制中对实践练习的讨论。 本课程将为您提供全面的Python编程与数据分析技能，帮助您在数据科学领域取得成功。
The objective of this course is to be adept in Python programming and the extensively used libraries with python i.e Numpy, Pandas, Matplotlib, Seaborn for data analysis and manipulation and visualization purposes. The course content is primarily in Hindi.We discuss Python from scratch and take it to next level with almost all the concepts in python with relevant examples and practice exercises. After python we'll discuss in length about Numpy, pandas ,matplotlib and seaborn with practice datasets present in these libraries. we'll load the dataset in pandas dataframe and will see the powerful data manipulation and analysis we can do with pandas along with programming efficiency of python. We discuss matplotlib which is grandfather library for data visualization to lay the foundation and take it to next level with Seaborn with advanced modern looking plots to find intrinsic insights of the data.What you will learn in the courseInstallation and introduction to Anaconda Distribution an PythonInteracting with Python and Basic fundamentals:-data types, variables, operators in PythonControl structures:-Conditional Statements, loops, list comprehensionsData Structures in PythonFunctions and exception handlingDecorators, Mappers, Generators, FiltersFile handling Regular Expressions Modules and Packages: Using and Creating Object-Oriented Programming (OOP) with PythonData analysis and Visualization libraries: Numpy Pandas Matplotlib Seaborn The important features that you get with the course are:-1. Hands on training with live recorded sessions to help understand each concept in detail 2. Best set of relevant examples to clarify concepts along with practice exercises.3. Discussions of the practice exercises in recordings
