Learn about the Course 3 Automatidata workplace scenario!
The end-of-course project in Course 3 focuses on your ability to conduct statistical testing within a project. The end-of-course projects were designed with you in mind, offering an opportunity for you to practice and apply your data analytics skills. The materials provided here will guide you through discussions with co-workers, internal team members, and external stakeholders.
Learn more about the project, your role, and expectations in this reading.
Automatidata works with its clients to transform their unused and stored data into useful solutions, such as performance dashboards, customer-facing tools, strategic business insights, and more. They specialize in identifying a client’s business needs and utilizing their data to meet those business needs.
Automatidata is consulting for the New York City Taxi and Limousine Commission (TLC). New York City TLC is an agency responsible for licensing and regulating New York City's taxi cabs and for-hire vehicles. The agency has partnered with Automatidata to develop a regression model that helps estimate taxi fares before the ride, based on data that TLC has gathered.
The TLC data comes from over 200,000 taxi and limousine licensees, making approximately one million combined trips per day.
Note: This project's dataset was created for pedagogical purposes and may not be indicative of New York City taxi cab riders' behavior.
Automatidata is working on the TLC project. The following tasks are needed at this stage of the project:
Explore the project data
Implement a hypothesis test
Communicate insights with team members and TLC stakeholders
You will conduct hypothesis testing on the data for the TLC data. You’ve been asked to investigate TLC’s dataset to determine which hypothesis testing method best serves the data and the TLC project.
Udo Bankole, Director of Data Analysis
Deshawn Washington, Data Analysis Manager
Luana Rodriquez, Senior Data Analyst
Uli King, Senior Project Manager
Your teammates at Automatidata have technical experience with data analysis and data science. However, you should always be sure to keep summaries and messages to these team members concise and to the point.
Juliana Soto, Finance and Administration Department Head
Titus Nelson, Operations Manager
Note: The story, all names, characters, and incidents portrayed in this project are fictitious. No identification with actual persons (living or deceased) is intended or should be inferred. The data shared in this project has been altered for pedagogical purposes.
The TLC team members are program managers who oversee operations at the organization. Their roles are not highly technical, so be sure to adjust your language and explanation accordingly.
With this end-of-course project, you will gain valuable practice of your new skills as you complete the following deliverables:
Complete a PACE Strategy Document to consider questions, details, and action items for each stage of the project scenario.
Answer the questions in the Jupyter notebook project file
Statistical testing
Report results in executive summary
Good luck in your role! Automatidata looks forward to seeing how you communicate your creative work and approach problem-solving!
The end-of-course project is designed for you to practice and apply course skills in a fictional workplace scenario. By completing each course’s end-of-course project, you will have work examples that will enhance your portfolio and showcase your skills for future employers.