|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-from-basics-till-advance-for-data-science/
课程评论：没有评论
Coursera 课程总结：Python 从入门到精通，专为数据科学而设计 本课程是您学习 Python 的全面指南，从基础知识到高级概念，特别关注数据科学应用。无论您是初学者还是希望提升技能的开发者，本课程都将为您提供深入的 Python 知识。 **课程亮点：** * **从零开始：** 为初学者量身定制，提供清晰易懂的 Python 基础入门，确保您轻松上手。 * **内容全面：** 涵盖 Python 编程的方方面面，包括但不限于： * Python 安装与环境配置（Anaconda） * 核心数据结构：字符串、列表、元组、字典 * 函数与内置函数 * 文件输入/输出（文件处理） * 错误处理 * Filter, Map, Reduce * 模块使用 * 局部变量与全局变量 * args / kwargs * **数据科学专项：** 深入学习 Python 在数据科学领域的核心库： * NumPy：高效的数值计算 * Pandas：数据处理和分析的利器 * Matplotlib & Seaborn：数据可视化 * NLTK：自然语言处理（NLP） * **实战导向：** 提供大量的动手实践机会，包括： * 每个主题配有 Jupyter Notebooks，方便实时演练。 * 每个主题都设有相应的练习题，巩固所学知识。 * 提供 Hacker Rank Python 练习题的分步视频解答。 * **资源丰富：** 所有视频的源代码均可在视频描述中通过 Jovian、GitHub 或 Google Drive 下载，方便您独立学习和参考。 * **易于学习：** Python 语法简洁，代码行数少，相比其他编程语言更易于掌握。 **学习收益：** 完成本课程后，您将能够： * 熟练掌握 Python 编程的基础和高级概念。 * 运用 Python 进行数据分析、处理和可视化。 * 使用 Python 进行自然语言处理。 * 自信地应对数据科学相关的编程挑战。 立即加入本课程，开启您的 Python 数据科学学习之旅！
In this course you are going to learn every bits and pieces of Python from Basic till Advance. I am providing lot of hands on for each and every topic along with Jupyter notebooks as well as assignment for each topics. I am also providing step by step video guide to solve Hacker Rank Python quizzes.In this course, I'll start by giving a brief introduction of python to a beginner, making it a complete python tutorial for beginners in English.This Python Course is totally in English and is made for Learning Python. All the topics related to python programming will be covered in this tutorial series.I will make this python course as a complete python course with examples for beginners which will be taken to the advanced python level.I wish you all the very best in your python learning journey through these Code tutorials!Source code of all videos are separately given in all video's description, you can grab all through via Jovian, GitHub or Google drive link.It is relatively easy to learn when compared to pretty much any other programming language since most of the time, using Python to do something will take less lines of code than with another programming language.I cover a wide variety of topics in this, including:Basic and Advance Python:Installing PythonInstalling AnacondaStringsListTupleDictionariesFunctionsBuilt-in FunctionsFile I/O or File HandlingError HandlingFilter, Map, ReduceModulesLocal and Global Variablesargs / kwargsand much more!Python modules for Data science:NumpyPandasMatplotlibSeabornNLTK (Natural Language Tool Kit) for NLP (Natural Language Processing) LibraryMany more......All the jupyter notebooks can be downloaded from Jovian, Git hub and Google drive, In each content i'll be providing those link details.
