https://github.com/lmizner/codecademy_marketing_data_anlaytics

Final project as a part of the Codecademy Data Science: Analytics career path
https://github.com/lmizner/codecademy_marketing_data_anlaytics

bar-chart boxplot count-plot data-cleaning exploratory-data-analysis for-loops heatmap histogram jupyter-notebook matplotlib-pyplot numpy pandas python regression-plot scatter-plot seaborn

Last synced: about 14 hours ago
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Final project as a part of the Codecademy Data Science: Analytics career path

• Host: GitHub
• URL: https://github.com/lmizner/codecademy_marketing_data_anlaytics
• Owner: lmizner
• Created: 2022-10-21T20:13:28.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-10-24T23:37:05.000Z (over 2 years ago)
• Last Synced: 2024-12-15T10:14:04.479Z (about 2 months ago)
• Topics: bar-chart, boxplot, count-plot, data-cleaning, exploratory-data-analysis, for-loops, heatmap, histogram, jupyter-notebook, matplotlib-pyplot, numpy, pandas, python, regression-plot, scatter-plot, seaborn
• Language: Jupyter Notebook
• Homepage:
• Size: 13.1 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# codecademy_marketing_data_anlaytics

## Marketing Data Analytics

In this final portfolio project, you’ll use your understanding of data analytics and visualization to answer a question about a topic of your choosing.

For this project, you will conduct your own analysis in a Jupyter Notebook and share your results through your personal GitHub page. This project can be included as part of your portfolio when you apply for data scientist and data analyst jobs. It’s good practice to showcase a variety of skills in order to make your application shine.

### Project Objectives:

* Complete a project to add to a portfolio

* Use Git version control

* Use Jupyter Notebook to communicate findings

* Run an end-to-end data analytics project

* Become familiar with data analytics workflows