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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-car-advisor-app-real-world-data-science-mega-project/
课程评论：没有评论
课程名称：Python真实世界数据科学大型项目：购车应用程序 课程概述：在这个课程中，您将获得一个实践性极强的编程技能，通过创建一个购车推荐应用来将数据科学知识转化为实际的解决方案。该应用将帮助您节省时间和精力，并为您的个人财务做出贡献。课程采用全面的方法，涵盖了数据科学问题解决的每一个步骤，从现实世界的探索到问题的定义，再到最终的解决策略。我们将通过许多现实生活中的场景和示例来精心设计实现方案，并在找到解决方案后继续寻找其他有用产品的开发机会。在此过程中，您将学习如何提取所需数据、分析数据以及实现这两个步骤的协同效应，这对于数据科学家来说是无价的能力。 课程使用SCRAPY框架从全球流行的汽车网站中提取数据，并主要使用PANDAS库开发数据科学应用。该课程是一个系列课程的一部分，旨在从基础技能到高级概念，深入掌握网页抓取和Scrapy，利用真实场景的案例增强学习效果。这种方法独树一帜，您在这里学习的内容和应用将不同于其他课程。您不仅会学习工具的运作方式，还会了解到其在实际数据科学环境中的应用。 总的来说，这门课程旨在提高您在该领域的能力与信心，让您能够应对真实世界的问题。加入我们，创建一个完整的数据科学项目，感受学习的乐趣与价值。此外，课程由Udemy的保证政策提供风险保障。欢迎观看课程视频，我们在课程中见！
Allow me to be forthright on this: We all are inclined to pick that long and broad course. I call them 'little by little, everything to the middle' courses. Those courses are indeed good and have their place in the portfolio. However, in our limited time they do not get finished and sometimes they are too broad to guide you to create something real and useful. And that is a fact backed by statistics of almost any online learning platform.Here is my recomendation for you today: Why not to learn once for yourself, and not for a future hope or prospect? Why not to let data science do something for you right away, right now? Stop a moment please and do think about this!Welcome to 'Python Real World Data Science Mega Project: Car Buyer App'This course is, where your data science knowledge will evolve into a practical programming skill that creates solutions for real-world. You will create an application, that will recommend your next car, saving you time and effort while contributing to your personal finances. That is the most practical result you can get from a course.This will be achieved utilizing a comprehensive approach, so we will go through each and every step of problem solving in data science. From exploring the real world to definition of the problem that will ultimately end up in a strategy to solve it. We will carefully craft the implementation with many real life scenarios and examples and when we come up with a solution, we still will not stop.We will look for ways to exploit our results for other useful products. In the meantime, we will continue to revise our strategy and implementation to perfect our results. Throughout the course you will experience, how 'being able to extract the data you want from web, analyzing it the way you want, and the synergy you can create by these two steps' is an invaluable capability for a data scientist. We will use SCRAPY (framework) to extract data from popular car sites around the world and develop our data science application mainly using PANDAS (library). This course is within the framework of a series to master web-scraping and Scrapy from basic skills to advanced concepts, from deep insights on the tools to the most practical real-life data science example utilizing web scraping on this platform, a depth and perspective unique to this course series that collectively have gathered more than 10000 students in months.Let me tell you forthright: The approach depicted, implemented and taught here is unique to this course. In other words, you can not compare this course with others, because the focus, the implementation and the end results will be different. Here, you will learn while you create a high-value backend application that you can practically use and benefit. So it is not only about learning how a tool works but also how it is applied in data science context in real-life.Finally, a good course is the one that will make you capable and motivated to go further in that field, it will increase your self-confidence to tackle the real-world issues. This uniquely structured and implemented project-based-course exactly aims and does that. Join and create a complete end to end data science project, and all of this with no risk, thanks to Udemy's guarantee policy. Be sure to watch the course video on this very landing page. See you in the lectures!Very Respectfully, Tarkan Aguner
