sql-for-data-science-capstone-project
所属分类：数据库系统
开发工具：Jupyter Notebook
文件大小：3634KB
下载次数：0
上传日期：2022-05-19 14:11:44
上 传 者：
sh-1993
说明： 分析2021年皮尤研究中心美国趋势小组收集的数据
(Analysis of data collected from 2021 Pew Research Center’s American Trends Panel)
文件列表:
1_capstone_project_proposal.pdf (298019, 2022-05-19)
2_capstone_descriptive_stats.pdf (259899, 2022-05-19)
3_capstone_beyond_descriptive_stats.pdf (93049, 2022-05-19)
4_capstone_presenting_findings.pptx (1723255, 2022-05-19)
sql-for-data-science-capstone-project.ipynb (80453, 2022-05-19)
survey_documentation (0, 2022-05-19)
survey_documentation\ATP W83 questionnaire.pdf (1110057, 2022-05-19)
survey_documentation\ATP W83 topline.pdf (400074, 2022-05-19)
survey_documentation\Codebook-and-instructions-for-working-with-ATP-data.pdf (351038, 2022-05-19)
survey_documentation\W83 ATP methodology.pdf (140305, 2022-05-19)
#### _SQL for Data Science Capstone Project_
# **2021 Pew Research Centers American Trends Panel:**
# **Summary of Survey Findings**
This was my final capstone project for the Coursera Learn SQL Basics for Data Science Specialization. The final course consisted of four milestones:
* Milestone 1: Project Proposal and Data Selection/Preparation
* Milestone 2: Descriptive Stats and Understanding Your Data
* Milestone 3: Beyond Descriptive Stats (Dive Deeper/Go Broader)
* Milestone 4: Presenting Your Findings (Storytelling)
The numbered documents in this repository correspond to these milestones. I analyzed the data in a Jupyter notebook using Python, pandas, matplotlib, and Seaborn. The PowerPoint presentation for Milestone 4 summarizes the survey findings and includes data visualizations.
To view the complete notebook with all data visualizations, please view the notebook on Kaggle: https://www.kaggle.com/code/denisefoster/sql-for-data-science-capstone-project/notebook
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