Case Study (Python, Tableau): estimating taxi fares in advance of the ride

Data Science is a complex discipline, full of challenges and opportunities. But what if you could learn advanced concepts such as exploratory data analysis (EDA), statistical testing, multiple regression, and machine learning models? Thanks to my new case study, which is accessible in my website's "Academy" section, this is now possible.

Introduction to the Case Study

In the new Case Study, you will develop practical skills for estimating cab fares in advance using Python and Tableau. Inspired by the New York City Taxi & Limousine Commission (TLC), this project will guide you through a learning journey structured in 7 steps, each addressing a crucial aspect of data analysis.

Why follow this Case Study

• Hands-on learning: Learn through a concrete project that simulates an actual consulting assignment.
• Advanced skills: Develop skills in Python, Tableau, and machine learning techniques.
• Free and accessible: The Case Study is free and does not require registration, although registering will allow you to keep track of your progress.
• Suitable for all levels: Whether you are a beginner or an expert, this Case Study is valuable and inspiring.

Structure of the Case Study

The Case Study is divided into seven steps, each focusing on a specific aspect of data analysis:

1. Project proposal: Learn how to structure and plan a data analysis project.
2. Understand the data: Upload, explore, and extract relevant information from the New York TLC dataset.
3. Exploratory Data Analysis (EDA ): Use data visualization techniques and descriptive analysis to understand your data better.
4. Statistical tests: Conduct A/B tests to identify significant differences in the data.
5. Regression analysis: Construct a multiple linear regression model to predict cab fares.
6. Machine learning models: Implement a random forest model to predict gratuity generosity.
7. Delivery of work: Summarize the results and prepare a professional presentation.

How to Access the Case Study

Accessing the Case Study is simple. Visit the Academy section of my site and get started now. If you register for the Academy, you will also be able to keep track of your progress, and by subscribing to my newsletter, you can receive updates on new content.

Conclusion

Don't miss the opportunity to improve your skills in Data Science through a hands-on, well-structured project. This Case Study will provide advanced knowledge and allow you to apply it in a real-world context, making your learning more effective and meaningful.

I look forward to seeing you at the Academy and beginning this exciting learning journey together!

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