In this assessment, you will be given references for self study before making an attempt to 7 coding practices. To download this folder, you can clone it or download this as a zip file.
Click on the green button with Code and choose Download ZIP. The entire assessment should not take you more than 2 hours.
- Individuals looking to upgrade their skills or make a career switch in the data industry. Potential roles include:
- Data Analyst
- Data Scientist
- Data Engineer
- ML Engineer
- AI Engineer
- Those with a background in IT, Engineering, or a related field who are interested in data-focused roles.
- Full-time professionals seeking to upskill within the tech industry.
These references should take you under 40 minutes to complete.
Reference with code practice:
- Variables (1 minute)
- Data Types (1 minute)
- Operators (3 minutes)
- Conditions (3 minutes)
- Lists (5 minutes)
- Dictionaries (5 minutes)
- For Loop (3 minutes)
- While Loop (3 minutes)
- Functions (5 minutes)
- Objects / Classes (5 minutes)
- Python Scope (3 minutes)
- Python Modules (3 minutes)
These videos can be helpful in learning Python
Please attempt to solve the problems described in the following .py files:
- You could submit by zipping up the project folder, place it on a public google drive, and submit the URL to NTU Survey Portal, or
- Submit a github url if you have knowledge of using github.
Should you face any difficulties, please contact your program administrator.