This course teaches learners how to plan, collect, clean, analyze, build models, put models into production, and document data science projects from scratch. The course also covers building a Burrito Dashboard using atoti, analyzing data, and creating a YouTube Data Dashboard with Streamlit. The teaching method involves a hands-on approach with practical project-based learning. This course is intended for individuals interested in learning data science project workflow and portfolio building.
Overview
Syllabus
Data Science Project from Scratch - Part 1 (Project Planning).
Data Science Project from Scratch - Part 2 (Data Collection).
Data Science Project from Scratch - Part 3 (Data Cleaning).
Data Science Project from Scratch - Part 4 (Exploratory Data Analysis).
Data Science Project from Scratch - Part 5 (Model Building).
Data Science Project from Scratch - Part 6 (Putting the Model into Production).
Data Science Project from Scratch - Part 7 (Documenting Your Work).
Building a Burrito Dashboard - Data Science Project from Scratch with atoti.
Can You Analyze My Data Better Than I Can?.
Data Science Portfolio Project From Scratch | Building a YouTube Data Dashboard with Streamlit.
Taught by
Ken Jee
