Introduction to Data Science
Get free guidebookBildungsteam aus:
“Turing College prepares data scientists who not only excel in theory but also possess real‑world skills.”
About guidebook
This guidebook is a list of introductory resources on a wide range of Data Science subjects. It takes 60-90 hours of self-guided learning to complete. Topics covered:
01
Introduction to programming & Python, variables, expressions
02
Conditional statements, control flows, functions
03
Strings, files, lists
04
Dictionaries, tuples
05
Data structures, working with web data
06
Regular expressions, advanced built-in data types
07
Networks, HTTP protocol, APIs
08
Web scraping, BeautifulSoup, static type checking
09
XML, REST, FastAPI
10
Object Oriented Programming, JSON
11
Poker bot practical project
Is this guidebook for me?
Yes, if you:
Have no coding experience, but are proficient in high-school level mathematics
Are looking for refresher in Python programming or core data science concepts
You want to apply to our Data science career program but lack introductory Data Science, and Python skills
Have good English skills