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

Overview

Learn to build Streamlit dashboards using TikTok data and Python in this course. By the end of the course, you will be able to create a real-time feed from TikTok, preprocess data using an ETL Pipeline, and develop a Streamlit dashboard to visualize the data. The course covers setting up environments, working with TikTok API, data manipulation in Pandas, ETL pipeline creation, and dashboard development using Streamlit. This course is suitable for individuals interested in data science projects and dashboard creation using Python.

Syllabus

- Start
- Introduction
- Gameplan
- Client Conversation 1
- Tutorial Start
- Creating a Virtual Environment
- Installing the TikTok API
- Setup VS Code
- Getting Data from TikTok
- Exporting Data to JSON
- Client Conversation 2
- Setting Up Jupyter for Prototyping
- Loading TikTok Data into Pandas
- Building an ETL Pipeline
- Viewing Transformed Data in Pandas
- Converting ETL code into a Module
- Exporting Transformed TikTok Data to CSV
- Client Conversation 3
- Setting up Streamlit
- Building Your First Streamlit App
- Adding TikTok Hashtag Search
- Creating Plotly Charts
- Setting app to wide and Creating a sidebar
- Client Conversation 4
- Wrap up