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Welcome to the visual presentation of the Cyclistic bicycle company's data analysis project, where we present the final steps and analyses in the form of a chronologically ordered series of images representing the stages of the study from the beginning to the final results.

I introduce myself as a student in the Data Analyst course offered by Coursera in collaboration with Google. I am at the end of the project and have reached the case study stage in front of you, in which I will present the scenario and introduction to this project. After that, we will document all the work from beginning to end through structural thinking, a plan, and a roadmap. I am trying to present this project in a professional and organized manner and using the methodology that I learned throughout my career in this course.

As a junior data analyst, the insights derived from this analysis will serve as the foundation for the marketing team to design a new, targeted strategy. The ultimate goal is to maximize the number of annual memberships by understanding the differences in usage patterns between the two customer types. This understanding will enable the creation of marketing campaigns specifically aimed at converting existing casual riders into more profitable annual members

With this information,the goal of my team is to design a new marketing strategy to convert casual riders into annual members through these questions we need to better understand:

1. How do annual members and casual riders use Cyclistic bikes differently?

2. Why would casual riders buy Cyclistic annual memberships?

3. How can Cyclistic use digital media to influence casual riders to become members?

Let's begin with the steps of the methodology data analysis process: Ask, Prepare, Process, Analyze, Share, and Act

Case Study Roadmap - Ask

● What is the problem you are trying to solve?

● How can your insights drive business decisions?

Clear Statement of the Business Task

The primary business task is to analyze the historical bike trip data to determine how annual members and casual riders use Cyclistic bikes differently

● Identify the business task

● Consider key stakeholders

● A clear statement of the business task

● Identify the specific data needed (e.g., historical trip data).

● Determine data credibility and integrity.

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