Introduction to Data Science
Our mentors bring first-hand experience from companies and universities such as:
The companies and institutions mentioned have no institutional affiliation or official partnership with Turing College.
“Turing College prepares data scientists who not only excel in theory but also possess real-world skills.”
Eimantas Sabaliauskas
Co-founder of NordVPN
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:
- Introduction to programming & Python, variables, expressions
- Conditional statements, control flows, functions
- Strings, files, lists
- Dictionaries, tuples
- Data structures, working with web data
- Regular expressions, advanced built-in data types
- Networks, HTTP protocol, APIs
- Web scraping, BeautifulSoup, static type checking
- XML, REST, FastAPI
- Object Oriented Programming, JSON
- 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 a refresher in Python programming or core data science concepts
Want to apply to our Data Science career program but lack introductory data science and Python skills
Have good English skills