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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-data-analyst-bootcamp-process-analyze-visualize/
课程评论：没有评论
**Python 数据分析师训练营：处理、分析与可视化** 本课程旨在教授数据专业人士最抢手需求的 Python 库和工具，特别适合有志于成为数据科学家、数据分析师和开发人员的学习者。 **课程亮点：** * **Python 基础到高级：** 从 Python 基础知识入手，打下坚实的编程基础，涵盖关键编程概念，并深入到面向对象编程（OOP）等高级主题。 * **NumPy & Pandas：** 精通用于快速高效数据整理、处理和分析的核心库。学习如何处理大型数据集、缺失值以及进行高级计算。 * **Polars：** 探索 Polars，一个快速、可扩展的 DataFrame 库。将与 Pandas 进行对比，展示 Polars 在数据处理方面，尤其是在大型数据集上的性能优势。 * **Seaborn & Matplotlib 数据可视化：** 像专业人士一样学习数据可视化。从创建简单图表到设计精美、交互式图表，您将学会如何用数据讲述引人入胜的故事。课程涵盖从基础可视化到热力图、直方图和散点图等高级技巧。 * **Git 版本控制：** 精通 Git 版本控制。学习如何跟踪和管理代码变更，协作开发项目，并保持工作井然有序。 * **Streamlit 构建仪表板：** 学习使用 Streamlit 和 Matplotlib 创建交互式仪表板。您将从零开始构建一个使用真实世界数据的直播项目，并免费部署，展示您的能力。 **课程成果：** * 完成大量动手实践作业，巩固所学知识。 * 最终将完成一个完整、可部署的仪表板项目，可用于向潜在雇主或客户展示。
This course is designed to teach you the most in-demand Python libraries and tools used by data professionals, making it ideal for aspiring data scientists, analysts, and developers.What you'll learn:Python Basics to Advanced: Starting from the fundamentals, we'll build a solid foundation in Python, guiding you through key programming concepts and progressing to advanced topics like Object-Oriented Programming (OOP).NumPy & Pandas: Master the core libraries for fast and efficient data wrangling, manipulation, and analysis. Learn how to work with large datasets, handle missing values, and perform advanced calculations.Polars: Explore Polars, a fast, scalable DataFrame library. We'll compare it with Pandas to show how Polars offers faster performance for data manipulation, especially with large datasets.Data Visualization with Seaborn & Matplotlib: Learn how to visualize data like a pro. From creating simple plots to designing beautiful, interactive charts, you'll understand how to tell compelling stories with data. We'll cover everything from basic visualizations to advanced techniques like heatmaps, histograms, and scatter plots.Git: Master version control with Git. Learn how to track and manage changes in your code, collaborate on projects, and keep your work organized.Building Dashboards with Streamlit: Learn how to create interactive dashboards using Streamlit and Matplotlib. You'll build a live project from scratch using real-world data and deploy it for free, showcasing your work to others.As part of this course, you'll complete numerous hands-on assignments to practice and reinforce your learning. By the end, you'll have a complete, deployable dashboard project that you can demonstrate to potential employers or clients.
