Background TikTok is the leading destination for short-form mobile video. The platform is built to help imaginations thrive. TikTok's mission is to create a place for inclusive, joyful, and authentic content–where people can safely discover, create, and connect.

Project goal:

The TikTok data team is developing a machine learning model for classifying claims made in videos submitted to the platform.

Scenario:

It is now time to begin the process of exploratory data analysis (EDA). As a data analyst on TikTok's data team, you will complete the EDA process for the claims classification project. You’ll also use Tableau to create visuals for an executive summary to help non-technical stakeholders engage and interact with the data.

Course 3 tasks:

• Imports of relevant packages and TikTok data into Python
• EDA and cleaning
• Assess Tableau measures and dimensions
• Select and build visualization(s) type
• Create plots to visualize variables and relationships between variables
• Share your results with the TikTok team

Project goal:

The TikTok data team is developing a machine learning model for classifying claims made in videos submitted to the platform.

Scenario:

The TikTok data team has successfully completed exploratory data analysis on the data for the claims classification project. The team is ready to begin the process of hypothesis testing. 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.

Course 4 tasks:

• Import relevant packages and TikTok data

• Explore the project data

• Implement a hypothesis test

• Communicate insights with stakeholders within TikTok

Project goal:

The TikTok data team is developing a machine learning model for classifying claims made in videos submitted to the platform.

Scenario:

The data team at TikTok is close to their goal of building a model to assist in the classification of claims in videos. The next step is to use the project data to create a regression model. As a member of TikTok’s data team, you'll determine the type of regression model that is needed and develop one using TikTok's claim classification data.

Course 5 tasks:

• Import relevant packages and TikTok data

• Exploratory data analysis and check model assumptions

• Determine the correct modeling approach

• Build the regression model

• Finish checking model assumptions

• Evaluate the model

• Interpret model results and summarize findings for cross-departmental stakeholders within TikTok

Project goal:

The TikTok data team is developing a machine learning model for classifying claims made in videos submitted to the platform.

Scenario:

The data team at TikTok is nearing the end of the claims classification project. The final milestone left for the team: creating the machine learning model. You will be responsible for leading these final tasks, which include feature engineering, model development, and evaluation.

Course 6 tasks:

• Import relevant packages and TikTok data

• Exploratory data analysis

• Feature engineering

• Check model assumptions

• Model building

• Model evaluation

• Summarize findings for cross-departmental stakeholders within TikTok

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.