Overview
Context
Coding interviews can be challenging. You might be asked questions to test your knowledge of a programming language. On the other side, you can be given a task to solve in order to check how you think.
And when you are interviewed for a data scientist position, it's likely you can be asked on the corresponding tools available for the language. In either of the cases, to get a cool position as a data scientist, you need to do a little work to perform the best.
That's why it's very important to practice in order to prove your expertise!
We'll go through fundamental as well as advanced topics that aim to prepare you for a coding interview in Python. Since it is not a normal step-by-step Practicing Coding Interview Questions in Python course at Data Camp, some exercises can be quite complex. But who said that interviews are easy to pass, right?
Programme Structure
Chapters
- Python Data Structures and String Manipulation
- Iterable objects and representatives
- Functions and lambda expressions
- Python for scientific computing
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Disciplines
Software Engineering View 554 other Short Courses in Software Engineering in United StatesAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
PREREQUISITES
- Python Data Science Toolbox (Part 2)
- Regular Expressions in Python
- Data Manipulation with pandas
Tuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
Basic Access: Free; Premium (for individuals): $12.42 per month billed annually; Teams: $25 per month billed annually; Enterprise: Contact sales for pricing