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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python3-pandas-datascience-timeseries/
课程评论：没有评论
**课程名称：** Python 3 数据科学：NumPy、Pandas 及时间序列分析 **课程概述：** 本课程旨在帮助您精通使用 Python 3 进行数据采集、可视化和时间序列分析。掌握这些技能将使您成为 21 世纪最受雇主欢迎的数据科学专业人才，从而获得丰厚的职业回报。 本课程是 Udemy 上关于 Python 3 数据科学和时间序列分析的最全面的入门到进阶课程。无论您是初学者、已掌握 Python 基础，还是希望深入学习 Pandas 时间序列的高级特性，本课程都适合您。我们将教授您数据科学和时间序列分析的核心概念，并实操 Jupyter、NumPy、Pandas、Matplotlib 和 Plotly 等关键工具。课程提供 PDF 和 Jupyter Notebooks，以满足不同学习偏好。 课程包含超过 100 节讲座和 13 小时以上的视频内容，全面深入地讲解 Python 3 数据科学、Pandas 以及时间序列分析。 **学习方式：** 本课程采用高度实用的教学模式，每节讲座都配有编程视频和对应的 Jupyter Notebook，其中包含 Python 3 代码。您可以选择最适合自己的学习方式。 **技术准备：** 课程将指导您在 Windows 计算机和树莓派上安装 Python 3、NumPy、Matplotlib、Jupyter、Pandas 和 Plotly。 **主要涵盖内容：** * 科学 Python 生态系统基础 * Pandas 基础 * NumPy 和 Matplotlib 基础 * Windows 系统 Python 3 安装 * 树莓派设置与环境介绍 * Jupyter 安装与基础操作 * NumPy Ndarrays：数组创建、操作、随机数组生成、按位运算、统计函数 * Matplotlib 基础可视化 * SciPy 和 Pandas 安装 * NumPy 和 SciPy 线性代数 * Python 3 数据采集（包括 MySQL 连接） * Pandas 数据采集 * Pandas DataFrame 和 Series * Pandas 时间序列 * 使用 Matplotlib、Plotly、Seaborn 和 Altair 进行时间序列分析 **课程收益：** 您将获得对超过 100 节讲座及配套 PDF 和 Jupyter Notebooks 的永久访问权限。通过有趣且实用的方式学习数据科学和时间序列分析，提升您的职业技能和知识储备。
Become a Master in Data Acquisition, Visualization, and Time Series Analysis 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 and Time Series 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 Time Series with Python 3, 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 100 lectures and more than 13 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 PandasTime Series in PandasTime Series analysis with Matplotlib, Plotly, Seaborn, and AltairYou will get lifetime access to over 100 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!
