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Using Python to conduct EDA, perform statistical analysis, visualize insights, and present data-driven solutions to Chief Marketing Officer in the company

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Marketing_Analytics

Context

I’m a data analyst, and the Chief Marketing Officer has told me that previous marketing campaigns have not been as effective as they were expected to be. I need to analyze the data set to understand this problem and propose data-driven solutions.

Dataset Overview

The dataset for this project is provided by Dr. Omar Romero-Hernandez. It is licensed as CC0: Public Domain, which states, “You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission” You can also see the license status and download this dataset on this Kaggle page.

Analysis Process

  1. Assessing and Cleaning the data
  2. Exploratory data analysis
  3. Performing Statistical Analysis
  4. Data Visualization and Further Analysis
  5. Forming Data-Driven Solutions
  6. Give an 8-Minute Presentation to Chief Marketing Officer in the company

Watch the video about this project: https://www.youtube.com/watch?v=3Nij8BCQ0ig

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Using Python to conduct EDA, perform statistical analysis, visualize insights, and present data-driven solutions to Chief Marketing Officer in the company

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