This course covers the fundamentals of data science, including setting up a data science environment, data exploration, manipulation, cleaning, linear regression, SQL queries, and building a data science portfolio website. The course aims to teach students the necessary tools and methods to overcome the initial challenges of getting started with data science. The teaching method involves video tutorials, practical examples, and project-based learning. The course is intended for beginners in data science who want to learn essential skills and tools in the field.
Overview
Syllabus
How to Set Up Your Data Science Environment (Anaconda Beginner).
Data Science Fundamentals: Data Exploration in Python (Pandas).
Data Science Fundamentals: Data Manipulation in Python (Pandas).
Data Science Fundamentals: Data Cleaning in Python.
Data Science Fundamentals: Linear Regression.
Data Science Fundamentals: SQL Queries.
The Best Free Data Science Courses Nobody is Talking About.
Data Science Project Example Start to Finish (Deep Learning Image Classifier).
How to Build a Data Science Portfolio Website with Hugo & Github Pages [feat. Data Professor].
Taught by
Ken Jee
