https://github.com/dieegogutierrez/cyclistic
Google Data Analytics Capstone Project
https://github.com/dieegogutierrez/cyclistic
data-analysis datavisualization googleslides kaggle rprogramming rstudio
Last synced: about 1 year ago
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Google Data Analytics Capstone Project
- Host: GitHub
- URL: https://github.com/dieegogutierrez/cyclistic
- Owner: dieegogutierrez
- Created: 2023-10-16T12:55:58.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-10-31T19:48:49.000Z (over 2 years ago)
- Last Synced: 2025-02-08T13:25:23.811Z (over 1 year ago)
- Topics: data-analysis, datavisualization, googleslides, kaggle, rprogramming, rstudio
- Homepage: https://www.kaggle.com/code/dieegogutierrez/google-data-analytics-capstone-project-cyclistic
- Size: 19.5 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Cyclistic
Please access this notebook in [Kaggle](https://www.kaggle.com/code/dieegogutierrez/google-data-analytics-capstone-project-cyclistic)
This analysis is part of a Capstone Project for the Google Data Analytics Certificate program (Cyclistic). It will use the software RStudio and R programming language to complete the project, and for sharing the results, this notebook markdown, and a Slide presentation will be created.
The project will be completed by using the 6 Data Analytics stages:
- Ask: Identify the business task and determine the key stakeholders.
- Prepare: Collect the data, identify how it’s organized, determine the credibility of the data.
- Process: Select the tool for data cleaning, check for errors and document the cleaning process.
- Analyze: Organize and format the data, aggregate the data so that it’s useful, perform calculations and identify trends and relationships.
- Share: Use design thinking principles and data-driven storytelling approach, present the findings with effective visualization. Ensure the analysis has answered the business task.
- Act: Share the final conclusion and the recommendations.