Private-projects / Google The Power of Statistics / TikTok scenario / Course 3 end-of-course portfolio project overview: TikTok.md
Course 3 end-of-course portfolio project overview: TikTok.md
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Learn about the Course 3 TikTok workplace scenario!

The end-of-course project in Course 3 focuses on your ability to use exploratory data analysis to organize and understand the data within a project. As a reminder, in Course 1, your team developed a project proposal that outlined milestones, which progress with each of the end-of-course projects.

Learn more about the project, your role, and expectations in this reading.

Background on the TikTok scenario

At TikTok, our mission is to inspire creativity and bring joy. Our employees lead with curiosity and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company and grow your career.

TikTok users have the ability to submit reports that identify videos and comments that contain user claims. These reports identify content that needs to be reviewed by moderators. The process generates a large number of user reports that are challenging to consider in a timely manner.

TikTok is working on the development of a predictive model that can determine whether a video contains a claim or offers an opinion. With a successful prediction model, TikTok can reduce the backlog of user reports and prioritize them more efficiently.

Project background

TikTok’s data team is working on the claims classification project. The following tasks are needed at this stage of the project:

  • Explore the project data

  • Implement a hypothesis test

  • Communicate insights with stakeholders within TikTok

Your assignment

You will conduct hypothesis testing on the data for the claims classification data. You’ve been asked to investigate TikTok's user claim dataset to determine which hypothesis testing method best serves the data and the claims classification project.

Team members at TikTok

Data team roles

  • Willow Jaffey, Data Science Lead

  • Rosie Mae Bradshaw, Data Science Manager

  • Orion Rainier, Data Scientist

The members of the data team at TikTok are well-versed in data analysis and data science. Messages to these more technical coworkers should be concise and specific.

Cross-functional team members

  • Mary Joanna Rodgers, Project Management Officer

  • Margery Adebowale, Finance Lead, Americas

  • Maika Abadi, Operations Lead

Your TikTok team includes several managers, who oversee operations. It is important to adjust your general correspondence appropriately to their roles, given that their responsibilities are less technical in nature.

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. And, the data shared in this project has been created for pedagogical purposes.

Specific project deliverables

With this end-of-course project, you will gain valuable practice and apply your new skills as you complete the following:

  • Course 3 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

  • Consider the different groups of data represented in the dataset

  • Implement a hypothesis test

  • Create an executive summary to share your results

Key takeaways

The Google Advanced Data Analytics Certificate 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.