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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-data-science-and-analytics-from-scratch/
课程评论：没有评论
课程名称：从零开始学习数据科学与分析 课程概述：大家好，我是Kangxiao，拥有多年在PayPal、Google和Chime等行业领军企业的工作经验。在我整个职业生涯中，我利用数据进行分析、构建模型并解决关键业务问题。在学习的过程中，我常常遇到两个问题：第一，课程提供了深入的知识，但往往未能涵盖广泛的内容；第二，课程过于关注技术层面，很多课程要么专注于编程（例如如何编写Python代码），要么侧重于统计学（例如不同机器学习模型背后的数学）。很少有课程将数据分析、建模和编程结合起来，解决现实世界中的问题。 因此，在本课程中，我希望填补这些空白，提供广泛的数据科学、统计学、建模和编程知识，并通过案例研究将数据、编程和统计学联系起来，这正是我们在日常工作中所需的。根据我在PayPal、Google和Chime观察到的，最优秀的人才是那些能够将这些要素连接起来以解决复杂问题的人。 在本课程结束时，我们将共同进行两个主要项目，重点领域各有不同。我们将应用之前学习的知识（统计学、分析、SQL、Python和建模）来解决这两个案例。具体的案例说明如下： 1. 纳什维尔房屋分析 - 概况：纳什维尔的房市正在蓬勃发展，我们手中有一些关于房价、房屋细节和卖家信息的数据。我们如何利用这些数据进行分析并提出商业建议？ - 重点领域：分析和SQL 2. 订阅业务模型分析 - 概况：我们在两年前推出了订阅服务。作为分析副总裁，我们希望向CEO提供一份关于业务表现的更新，包括机会和下一步建议。我们将使用数据来支持我们的论述。 - 重点领域：分析、建模、Python和SQL 我希望本课程能帮助你为未来的成功做好准备。如果你对这些内容感兴趣，请加入我们！
Hi, this is Kangxiao, I have many years working experience from industry leaders like Paypal, Google and Chime. Throughout my entire career, I use data to do analysis, build models and solve key business problems.When I learn online, I often ran into two issues:The course offers in-depth knowledge, but it doesn't have very broad coverage. In reality, we don't need to be experts for everything. But it will give us a huge advantage if we know the basics for a lot of things.The course focuses too much on the technical side. I find a lot of the courses focus entirely on either coding like how to write python codes, or stats like the math behind different kinds of ML models. And there are very few courses that link data analysis, modeling and coding together to solve real world problems.In this course, I want to fulfill these gaps by offering a very broad coverage of data science, statistics, modeling and coding, and using case studies to connect data, coding, and stats together. That's exactly what we do in the real world, in our day to day work. The best talents I observe in Paypal, Google and Chime are the ones who are really good at connecting these dots together to solve complicated problems.At the end of this course, we will go through two major projects together with different focus areas. We will apply the knowledge we learned before (statistics, analytics, SQL, Python and modeling) to solve these two cases. The details of these two cases are shown below:Nashville housing analysisTLDR: Nashville housing is booming, we have some data about the house prices, house details and seller information. How can we use these to perform analysis and give business advice?Focus Area: Analytics and SQLSubscription business model analysisTLDR: We launched the subscription service 2 years ago. As the VP of analytics, we want to provide an update to our CEO including the business performance, where the opportunities and next step suggestions. We will use data to support our story.Focus Area: Analytics, Modeling, Python and SQLI hope this course can help set you ready for your future success. Please join us, If any of these interest you.
