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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/ibm-data-analyst-capstone-project
课程评论:没有评论
课程名称:IBM 数据分析师顶点项目 概述:本课程将帮助学员运用在 IBM 数据分析师职业证书课程中所学的各种数据分析技能和技术,扮演一名新入职的助理数据分析师,面对需要进行数据分析的实际商业挑战。学员将从多个来源收集数据,进行探索性数据分析、数据清理和准备、统计分析、挖掘数据、创建数据可视化图表,并构建交互式仪表盘。最终,学员需要提交数据分析报告,并为组织内的各利益相关者准备一份执行摘要。课程将评估学员在数据分析流程各阶段的工作及最终成果。 本项目是展示学员数据分析技能的良好机会,能够向潜在雇主展示其专业能力。 课程大纲: 1. 数据收集:收集数据是解决任何分析问题的第一步。学员将通过网络抓取和使用网络 API 收集数据。 2. 数据清理:专注于使用多种技术清理数据集,包括识别重复行、查找缺失值和数据规范化。 3. 探索性数据分析:对清理后的数据集进行分析,发现数据的分布、异常值存在情况以及不同列之间的相关性。 4. 数据可视化:学员将利用开发者调查数据创建可视化,突出数据分布、数据关系、数据组成及数据比较。 5. 建立仪表盘:使用 IBM Cognos Analytics 创建一个易于理解且吸引人的仪表盘,展示数据分析结果。 6. 最终作业:学员将在此模块中展示其讲述故事的能力,制作一个易于理解的演示,清晰阐释数据分析结果。 通过此课程,学员能够提升在实际场景中运用数据分析技能的能力,为未来的职业发展打下坚实的基础。
Part: 1
Title:Data Collection
Description:Data Collection is the first step in solving any analysis problem and can be collected in many formats and from many sources. In the first module of the Capstone, we will collect data by scraping the internet and using web APIs.
Part: 2
Title:Data Wrangling
Description:In this module, you will be focusing on the cleaning of your dataset with various techniques. With these techniques you will be identifying duplicate rows, finding missing values, and normalizing the data.
Part: 3
Title:Exploratory Data Analysis
Description:In this module, begin working with the cleaned dataset from the previous module. You will now begin to analyze the dataset to find the distribution of data, presence of outliers and the correlation between different columns.
Part: 4
Title:Data Visualization
Description:In module 4 of the Capstone, you will be required to create visualizations using the developer survey data. The visualizations you create should highlight the distribution of data, relationships between data, the composition of data, and comparison of data.
Part: 5
Title:Building A Dashboard
Description:In this module, you will create a dashboard using IBM Cognos Analytics. This platform will give you the ability to create various charts while assembling a dashboard that is appealing and easy to understand. Your dashboard will contain your data analysis, which should be intuitive and allow for the drill-down of data.
Part: 6
Title:Final Assignment: Present Your Findings
Description:You have analyzed the data in the previous modules, and now it is time to demonstrate your storytelling skills. In this module, you will create a compelling story that helps to clarify your analysis in an easy-to-understand presentation.
In this course you will apply various Data Analytics skills and techniques that you have learned as part of the previous courses in the IBM Data Analyst Professional Certificate. You will assume the role of an Associate Data Analyst who has recently joined the organization and be presented with a business challenge that requires data analysis to be performed on real-world datasets. You will undertake the tasks of collecting data from multiple sources, performing exploratory data analysis, data wrangling and preparation, statistical analysis and mining the data, creating charts and plots to visualize data, and building an interactive dashboard. The project will culminate with a presentation of your data analysis report, with an executive summary for the various stakeholders in the organization. You will be assessed on both your work for the various stages in the Data Analysis process, as well as the final deliverable. This project is a great opportunity to showcase your Data Analytics skills, and demonstrate your proficiency to potential employers.