Build a TikTok Data Science App with Streamlit and Python | Data Science Project

Build some slick Streamlit dashboards using TikTok Data and Python. In this video you’ll learn how to: 1. Build a real time feed from TikTok 2. Preprocess that data using an ETL Pipeline 3. Create a Streamlit dashboard to visualise the data Get the code: Chapters: 0:00 - Start 0:14 - Introduction 0:47 - Gameplan 1:51 - Client Conversation 1 2:26 - Tutorial Start 4:36 - Creating a Virtual Environment 7:18 - Installing the TikTok API 10:44 - Setup VS Code 12:28 - Getting Data from TikTok 21:03 - Exporting Data to JSON 26:09 - Client Conversation 2 27:35 - Setting Up Jupyter for Prototyping 32:55 - Loading TikTok Data into Pandas 40:45 - Building an ETL Pipeline 1:00:56 - Viewing Transformed Data in Pandas 1:06:07 - Converting ETL code into a Module 1:12:34 - Exporting Transformed TikTok Data to CSV 1:17:07 - Client Conversation 3 1:18:40 - Setting up Streamlit 1:22:14 - Building Your First Streamlit App 1:27:17 - Adding TikTok Hashtag Search 1:49:17 - Creating