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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-beginner-to-advanced-level-course/
课程评论：没有评论
**课程名称：** Python 数据分析与数据科学 **课程概述：** 本课程面向零基础学员，旨在帮助您从完全不了解 Python 到精通使用 Python 进行数据分析。课程不仅专注于数据科学领域，还将涵盖标准 Python 知识，适用于 Web 开发、软件开发等其他领域。在当前快速发展的数据分析领域，掌握 Python 至关重要。 **课程特色：** * **实战编码：** 采用“边学边练”的互动式教学模式，通过实际代码操作巩固知识。 * **项目驱动：** 参与多个项目，将所学知识应用于实际案例。 * **海量练习：** 提供大量练习题和任务，确保对每个知识点融会贯通。 * **章节测验：** 通过测验检验学习成果，巩固记忆。 * **真实场景模拟：** 在 Jupyter Notebook 环境中，复现真实数据分析场景，提升编程能力。 **目标学员：** * 希望在个人或职业上处理数据的学习者。 * 正在开始或希望转入数据分析师、数据科学家、商业分析师、报告分析师、ETL 专家、BI 咨询师、数据工程师等数据相关职位的学习者。 * 对 Web 应用与互联网开发、人工智能、网络安全、Web 测试等领域感兴趣，并希望掌握 Python 的学习者。 **课程要求/先修知识：** * **无先修知识要求：** 无需任何编程基础或特定的学术背景。 * **设备要求：** 需要一台笔记本电脑或台式电脑。 * **软件：** 学习所需的所有应用程序均可通过互联网免费下载。
Python is the fastest growing Data Analytics Programming Languages. This course takes you from knowing nothing about Python to becoming an expert analyzing data in Python. You will also learn about standard Python which is relevant for anyone who needs to know Python for other purposes like Web Development, Software Development e.t.c. Knowing Python is incredibly important if you are looking into a career in any data related field.This course is designed to equip you with what you need to be successful learning Python:Hands-on code along structure.Work on multiple projects.Lots of practice exercises and task which solidifies your knowledge of each lessons.Quizzes on sections covered.Replicate real life scenarios and coding in Jupyter Notebook.IS THIS YOU ?Looking to work with data personally or professionally?Starting or transitioning into a career as a Data Analyst, Data Scientist, Business Analyst, Report Analyst, ETL Specialist, BI Consultant, Data Engineer, or any data related field? Then you need to learn Python. Also, if you are going into the field of Web Application & Internet development, Artificial Intelligence, Cybersecurity, Web Testing; it is imperative that you learn Python.Course Requirement or PrerequisitesThis course does not require any prior knowledge or specific academic background. The only requirement is having a laptop or desktop computer. All applications necessary for learning the course would be downloaded free from the internet.
