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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-3-data-processing-with-pandas-matplotlib-and-plotly/
课程评论：没有评论
**课程名称：** Python 3 数据处理（Pandas 和 Plotly） **课程概述：** 本课程旨在帮助学习者掌握使用 Python 3 进行数据采集、可视化和处理的技能，这是 21 世纪最受雇主青睐的技能之一。无论您是完全没有数据科学经验，还是已掌握 Python 基础，抑或希望深入学习 Pandas 和 Plotly 的高级功能，本课程都适合您。 课程涵盖了数据科学和时间序列分析的广泛主题，包括 Python 3、Jupyter、NumPy、Pandas、Matplotlib 和 Plotly。课程内容极为全面，包含超过 105 个讲座和 12.5 小时的视频内容。 **核心内容：** * **Python 生态系统基础：** 学习科学计算的 Python 生态系统基础。 * **NumPy 和 Matplotlib 基础：** 掌握 NumPy 数组（Ndarrays）的创建、操作、随机数生成、位运算和统计函数，以及 Matplotlib 的基本可视化。 * **Pandas 基础：** 学习 Pandas 的核心概念，如 DataFrame 和 Series，以及它们的数据处理能力。 * **数据获取：** 涵盖使用 Python 3、MySQL 与 Python 3 以及 Pandas 进行数据采集的方法。 * **高级可视化：** 学习使用 Plotly 进行可视化，并深入探索 Matplotlib 的高级绘图技巧。 * **数据处理：** 掌握使用 Pandas 进行高效的数据处理。 * **环境搭建：** 指导您在 Windows 和 Raspberry Pi 上安装和配置 Python 3、NumPy、Matplotlib、Jupyter、Pandas 和 Plotly。 **教学方式：** 课程采用实践性教学方法，每个讲座都配有编程视频和包含 Python 3 代码的 Jupyter Notebook，学习者可以根据自己的偏好进行学习。 **价值：** 完成本课程后，您将获得数据科学领域的关键技能，为您的职业生涯发展提供有力支持，并通过有趣且实用的方式拓展您的知识。您将获得超过 105 个讲座的终身访问权限，以及相应的 PDF 文档和 Jupyter Notebook。
Become a Master in Data Acquisition, Visualization, and Processing with Python 3 and acquire employers' one of the most requested skills of 21st Century! An expert level Data Science professional can earn minimum $100000 (that's five zeros after 1) in today's economy.This is the most comprehensive, yet straight-forward course for the Data Science with Python 3 on Udemy! Whether you have never worked with Data Science before, already know basics of Python, or want to learn the advanced features of Pandas and plotly, this course is for you! In this course we will teach you Data Science and Time Series with Python 3, Jupyter, NumPy, Pandas, Matplotlib, and Plotly.(Note, we also provide you PDFs and Jupyter Notebooks in case you need them)With over 105 lectures and more than 12.5 hours of video this comprehensive course leaves no stone unturned in teaching you Data Science with Python 3, Pandas, and Time Series Analysis!This course will teach you Data Science and Time Series in a very practical manner, with every lecture comes a programming video and a corresponding Jupyter notebook that has Python 3 code! Learn in whatever manner is the best for you!We will start by helping you get Python3, NumPy, matplotlib, Jupyter, Pandas, and Plotly installed on your Windows computer and Raspberry Pi.We cover a wide variety of topics, including:Basics of Scientific Python EcosystemBasics of PandasBasics of NumPy and MatplotlibInstallation of Python 3 on WindowsSetting up Raspberry PiTour of Python 3 environment on Raspberry PiJupyter installation and basicsNumPy NdarraysArray Creation RoutinesBasic Visualization with MatplotlibNdarray ManipulationRandom Array GenerationBitwise OperationsStatistical FunctionsBasics of MatplotlibInstallation of SciPy and PandasLinear Algebra with NumPy and SciPyData Acquisition with Python 3MySQL and Python 3Data Acquisition with PandasDataframes and Series in PandasVisualization with PlotlyAdvanced Matplotlib VisualizationsData ProcessingYou will get lifetime access to over 105 lectures plus corresponding PDFs and the Jupyter notebooks for the lectures! So what are you waiting for? Learn Data Science and Time Series with Python 3 in a way that will advance your career and increase your knowledge, all in a fun and practical way!
