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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-for-data-science-bootcamp-2022-from-zero-to-hero/
课程评论：没有评论
课程名称：2023年数据科学Python训练营：从零到英雄 课程概述：欢迎来到“数据科学Python训练营：从零到英雄”。本课程旨在教您如何使用Python进行数据科学。在这个实践性的课程中，我们将学习如何收集数据、清洗数据、制作可视化，并使用Python构建机器学习模型。课程的主要目标是提升您的编程和分析技能，为您的数据科学职业发展打下基础。 我们将通过解决数百个练习和多个有趣的项目，帮助您将数据科学中使用的所有编程概念付诸实践。课程将涵盖数据科学中使用的顶级Python库，如Pandas、Numpy和Scikit-learn，并通过这些库学习数据清洗、可视化、数据收集和模型构建等任务。 本课程分为四个主要部分： 1. 数据科学Python速成课程：首先，我们将学习数据科学所需的所有Python核心概念，包括变量、列表和字典等。 2. 数据分析的Python：我们将学习数据分析中使用的Python库，如Pandas和Numpy，这些工具非常适合探索和处理数据，并用于处理数据科学任务，如数据清洗和准备。 3. 数据可视化的Python：在第三部分，我们将学习如何使用Pandas制作静态和交互式可视化，并掌握有效的数据可视化技巧。 4. Python机器学习：在第四部分，我们将通过解决一个文本分类问题，学习Scikit-learn。这是Python中最受欢迎的机器学习库，我们将不仅了解如何在Python中实现机器学习算法，还会通过实际例子学习最常见算法的核心概念。 额外内容（Python基础网络爬虫）：课程结束时，还将提供一个额外的部分，您将学习网络爬虫技术。这项技能使我们能够通过从网站提取数据来构建自己的数据集，是数据科学家必备的技能，我们将使用Beautiful Soup库学习这项技术。 为什么选择这个课程： - 本课程是最新和最完整的数据科学Python课程。 - 不再只是阅读大量教程而没有实际操作，这里有大量的练习帮助您解决问题，学习Python。 - 本课程是基于项目的，我们将解决四个项目，将所有学到的概念付诸实践。 - 学习如何将ChatGPT应用于数据科学。 - 提供30天退款保证。 完成本课程后，您将能够使用Python进行数据分析、创建数据可视化和构建机器学习模型。快来加入我，从零编程技能成长为数据科学家吧！
Welcome to the Python for Data Science Bootcamp: From Zero to Hero. In this course, we're going to learn how to use Python for Data Science. In this practical course, we'll learn how to collect data, clean data, make visualizations and build a machine learning model using Python.The main goal of this course is to take your programming and analytical skills to the next level to build your career in Data Science. To achieve this goal, we're going to solve hundreds of exercises and many cool projects that will help you put into practice all the programming concepts used in Data Science.We'll learn the top Python Libraries used in Data Science such as Pandas, Numpy and Scikit Learn and we will use them to learn to solve tasks data scientists deal with on a daily basis (Data Cleaning, Data Visualization, Data Collection and Model Building)This course covers 4 main sections.1. Python for Data Science Crash Course: In the first section, we'll learn all the Python core concepts you need to know for Data Science. We'll learn how to use variables, lists, dictionaries and more.2. Python for Data Analysis: We'll learn Python libraries used for data analysis such as Pandas and Numpy. Both are great tools for exploring and working with data. We'll use Pandas and Numpy to deal with data science tasks such as cleaning and preparing data.3. Python for Data Visualization: In the third section, we'll learn how to make static and interactive visualizations with Pandas. Also, I'll show you some techniques to properly make data visualization.4. Machine Learning with Python: In the fourth section, we'll learn scikit-learn by solving a text classification problem in Python. This is the most popular machine learning library in Python and we'll not only learn how to implement machine learning algorithms in Python but also we'll learn the core concepts behind the most common algorithms using practical examples.Bonus (Basic Web Scraping with Python): Remember that at the end of this course, there's a bonus section where you will learn web scraping. Web scraping allows us to build our own dataset by extracting data from websites. This is a must-have skill for data scientists and we'll learn this technique with the Beautiful Soup library.What makes this course different from the others, and why you should enroll?This is the most updated and complete Python course for data science. Tired of ton of tutorials but no way to practice what you've learned? In this course, you will find lots of exercises to learn Python by solving problems.This is the most project-based course you will find. We will solve 4 projects to put into practice all the concepts we will learn in this courseLearn how to use ChatGPT for data science30 days money back guarantee by UdemyAfter finishing this course, you will be able to do data analysis, create data visualization and build machine learning models with Python.Join me now and go from zero coding skills to data scientist!
