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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-complete-data-analysis-course-2022-with-python/
课程评论：没有评论
课程名称：2022年完整数据分析课程（Python） 课程概述： 本课程为您提供学习Python及其在数据分析和可视化中有效应用的资源，为您的数据分析职业生涯奠定基础！您将全面理解如何使用Python编程，并与科学计算模块和库结合使用，以分析数据。您还将获得终身访问许多示例Python代码笔记本、新视频和各种数据分析项目的机会，以便制作可展示给未来雇主的作品集。 本课程涵盖多种主题，包括： - Google Colab - Keras - Pandas - Seaborn - Matplotlib - scikit-learn - NLTK（自然语言处理工具包） - Tokenization（分词） - Spacy - 词性标注 - Stemming（词干提取）和Lemmatization（词形还原） - 数据加载、分析与可视化 - Bokeh - Plotly - Mapper - WordCloud - Hover（悬停效果） - Slider（滑块） - FreqDist（频率分布） 课程中包含大量基于真实案例的实践练习。您不仅会学习理论，还会亲自实践，构建自己的模型。课程中包含作业，帮助您学习和练习所有知识和工具。 课程结束后，您将能够： - 理解如何进行Python编程。 - 知道如何使用NumPy和Python创建和操作数组。 - 能够使用Pandas创建和分析数据集。 - 使用Matplotlib和Seaborn库创建精美的数据可视化。 - 拥有一份精彩的Python数据分析项目作品集。 - 理解机器学习及SciKit Learn的基本概念。
This course will give you the resources to learn python and effectively use it to analyze and visualize data! Start your career in Data Analysis!You'll get a full understanding of how to program with Python and how to use it in conjunction with scientific computing modules and libraries to analyse data.You will also get lifetime access to many example python code notebooks, new and updated videos, as well as future additions of various data analysis projects that you can use for a portfolio to show future employers!This course covers a variety of topics, includingGoogle ColabKeras.Pandas.Seaborn.Matplotlib.scikit-learnNLTK.Tokenization.Spacy.PoS tagging.Stemming and lemmatization.Loading data.Analyzing data.Visualizing data.Bokeh.Plotly.Mapper.WordCloud.Hover.Slider.FreqDist.MatplotlibMoreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models. There is an assignment for you to learn and practice all the tools and knowledge that you will learn throughout the course.By the end of this course you will:- Have an understanding of how to program in Python.- Know how to create and manipulate arrays using NumPy and Python.- Know how to use pandas to create and analyze data sets.- Know how to use matplotlib and seaborn libraries to create beautiful data visualization.- Have an amazing portfolio of example python data analysis projects!- Have an understanding of Machine Learning and SciKit Learn!
