Data Science and Machine Learning (Synchronous E-Learning)
Training Provider: AVENTIS GRADUATE SCHOOL PTE. LTD.
Course Reference: TGS-2025053622
S$590
Original: S$1,180
Save S$590
About This Course
Data Science and Machine Learning is designed to enhance analytical proficiency and strategic decision-making. By exploring key principles of data science and machine learning, this course equips learners with essential skills and knowledge to leverage data-driven insights for impactful decision-making and operational efficiency.
What You'll Learn
1. Review programming languages to select the best option for data processing
2. Assess business objectives to determine coding requirements
3. Develop functional code solutions that meets business requirements.
4. Utilise scripting and algorithmic techniques to develop efficient financial data solutions.
5. Use error handling techniques to resolve coding errors.
6. Apply structured testing methods to improve code performance and reliability.
7. Develop coding frameworks to ensure consistency and maintainability
8. Prepare documentation for coding processes and system integration.
2. Assess business objectives to determine coding requirements
3. Develop functional code solutions that meets business requirements.
4. Utilise scripting and algorithmic techniques to develop efficient financial data solutions.
5. Use error handling techniques to resolve coding errors.
6. Apply structured testing methods to improve code performance and reliability.
7. Develop coding frameworks to ensure consistency and maintainability
8. Prepare documentation for coding processes and system integration.
Entry Requirements
- 21 years old and above.
- Minimum GCE “N”, “O” or “A” Level / NITEC.
- Possess basic computer literacy, including navigating a personal computer operating system and internet skills.
All application will be reviewed and vetted by the course administrator to ensure suitability. If any learner is deemed not suitable, he/she will not be admitted to the course.
Course Details
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Note: To apply for this course, visit or contact the training provider directly.
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