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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/applied-data-science-capstone
课程评论：没有评论
课程名称：应用数据科学顶点项目 概述：这门顶点项目课程将让您体验数据科学家在处理真实数据集时的实际工作。您将扮演一名数据科学家，加入一家意图与SpaceX竞争的初创公司。在这个过程中，您将遵循数据科学的方法论，包括数据收集、数据整理、探索性数据分析、数据可视化、模型开发、模型评估以及向利益相关者报告结果。 您的任务是预测SpaceX猎鹰9号火箭第一阶段是否会成功着陆。SpaceX在其网站上宣传猎鹰9号火箭发射的费用为6200万美元，而其他提供商的费用通常超过1.65亿美元；其节省的主要原因是SpaceX能够重复使用第一阶段火箭。因此，如果您能准确预测第一阶段火箭的成功着陆概率，就可以确定发射成本。借助您的数据科学发现和模型，您所雇佣的竞争初创公司可以更有信息依据地与SpaceX竞争火箭发射的投标。 这门课程是IBM数据科学专业证书和应用数据科学与Python专业化的最后一门课程。在开始本课程之前，您需要完成专业化/证书中的所有先修课程，因为本课程要求运用先前课程中所学的知识和技能。本课程不会有太多新的学习内容，重点将放在实践工作上，以展示您在之前课程中所学的知识。 如果您选择参加本课程并获得Coursera课程证书，成功完成课程后，您还将获得IBM数字徽章。 课程大纲： 1. 导言：本模块将介绍猎鹰9号第一阶段成功着陆的预测问题及所需工具。 2. 探索性数据分析（EDA）：收集猎鹰9号第一阶段着陆的数据，使用RESTful API和网络抓取，并进行数据整理。 3. 交互式可视分析与仪表板：构建仪表板以使用Plotly Dash进行发射记录的互动分析，并使用Folium构建交互式地图以分析发射地点的接近度。 4. 预测分析（分类）：使用机器学习判断猎鹰9号第一阶段是否成功着陆，拆分数据为训练集和测试集，寻找最佳超参数并比较性能。 5. 呈现数据驱动的见解：将所有活动汇总，向相关方报告关于第一阶段火箭成功着陆的预测结果。
Part: 1
Title:Introduction
Description:In this capstone, we will predict if the Falcon 9 first stage will land successfully. SpaceX advertises Falcon 9 rocket launches on its website, with a cost of 62 million dollars; other providers cost upward of 165 million dollars each, much of the savings is because SpaceX can reuse the first stage. Therefore if we can determine if the first stage will land, we can determine the cost of a launch. This information can be used if an alternate company wants to bid against SpaceX for a rocket launch. In this module, you will be provided with an overview of the problem and the tools you need to complete the course.
Part: 2
Title:Exploratory Data Analysis (EDA)
Description:In this module, you will collect data on the Falcon 9 first-stage landings. You will use a RESTful API and web scraping. You will also convert the data into a dataframe and then perform some data wrangling.
Part: 3
Title:Interactive Visual Analytics and Dashboard
Description:In this module, you will build a dashboard to analyze launch records interactively with Plotly Dash. You will then build an interactive map to analyze the launch site proximity with Folium.
Part: 4
Title:Predictive Analysis (Classification)
Description:In this module, you will use machine learning to determine if the first stage of Falcon 9 will land successfully. You will split your data into training data and test data to find the best Hyperparameter for SVM, Classification Trees, and Logistic Regression. Then find the method that performs best using test data.
Part: 5
Title:Present Your Data-Driven Insights
Description:In this module, you will compile all of your activities into one place and deliver your data-driven insights to determine if the first stage of Falcon 9 will land successfully.
This capstone project course will give you a taste of what data scientists go through in real life when working with real datasets. You will assume the role of a Data Scientist working for a startup intending to compete with SpaceX, and in the process follow the Data Science methodology involving data collection, data wrangling, exploratory data analysis, data visualization, model development, model evaluation, and reporting your results to stakeholders. You are tasked with predicting if the first stage of the SpaceX Falcon 9 rocket will land successfully. SpaceX advertises Falcon 9 rocket launches on its website, with a cost of 62 million dollars; other providers cost upward of 165 million dollars each, much of the savings is because SpaceX can reuse the first stage. Therefore if you can accurately predict the likelihood of the first stage rocket landing successfully, you can determine the cost of a launch. With the help of your Data Science findings and models, the competing startup you have been hired by can make more informed bids against SpaceX for a rocket launch. This course is the final course in the IBM Data Science Professional Certificate as well as the Applied Data Science with Python Specialization. It is expected that you have completed all of the prior courses in the specialization/certificate before starting this one, as it requires the application of the knowledge and skills taught in those courses. In this course, there will not be too much new learning, and instead, the focus will be on hands-on work to demonstrate what you have learned in the previous courses. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course.
