Welcome to Data Star



Data Science Finishing School for Graduates

If you have a background in:
  • Mathematics/Statistics
  • Computer Science
  • Actuarial Science
  • Science
  • Engineering
  • Economics
This is your opportunity to take your skills to the next level. Throughout our 6 month Data Star program you will receive 2 months of intensive data science enablement, mentorship with experienced data scientist and a possible placement with  our industry partners.

Driven by ASEAN Data Analytics eXchange or ADAX, Data Star is an MDEC initiative in partnership with The Center of Applied Data Science, universities and leading industry partners to fast track the development of Data Professionals in Malaysia.

Learning Paths
We provide students with the foundational skill sets for each of the knowledge areas. Our courses include lectures and labs sessions, hands-on programming and are very interactive. Each learning paths includes mentorship, project presentation and soft skill development.

Data Engineer
The objective of the course is to enable the participants to understand the importance of data management and to realise the value of data. Basic knowledge of programming is a pre-requisite for this course.

Data Analyst
The goal of the course is to equip the participants with the ability to set-up and run analysis using R, analyse data correctly, communicate and visualise findings well. Participants will also be taught to extract insights and knowledge from data. The course is aimed at students with little or no experience in analysis but with grounding of maths.

Jr. Data Scientist
This course is a practical fast-paced hands-on training for participants to explore the interdisciplinary field of data science. The course teaches participants how to think in a data-scientific way, conduct or approximate experiments on business activity, analyse data rigorously, develop predictive models and monitoring model outputs.

Through this questionnaire, we hope to learn more about you. We want to know about your technical skills, your motivations, and your past experiences. Once we have a good understanding of your background and knowledge through our questionnaire, we can offer tailored advice and initiate a conversation with an instructor!

Please attempt the entire assessment in one sitting, it should take between 30 to 60 minutes.
Contact Information

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* 1. Contact Information

What is your NRIC

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* 2. What is your NRIC

What is your race?

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* 3. What is your race?

What is your highest academic qualification?

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* 4. What is your highest academic qualification?

What is your major or field of study?

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* 5. What is your major or field of study?

What is your latest CGPA (weighted over 4.00), if there is any?

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* 7. What is your latest CGPA (weighted over 4.00), if there is any?

Please upload your resume here.

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* 8. Please upload your resume here.

DOCX, DOC, JPG, GIF, JPEG, PDF, PNG file types only.
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When was your graduation date or when is your expected graduation date on?

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* 9. When was your graduation date or when is your expected graduation date on?

Date
Describe yourself!
Please write 2 or 3 paragraphs using full sentences. Focus on your career interests, achievements, and goals. But do feel free to include your hobbies, personal accomplishments, and/or your bucket list!

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* 10. Describe yourself!
Please write 2 or 3 paragraphs using full sentences. Focus on your career interests, achievements, and goals. But do feel free to include your hobbies, personal accomplishments, and/or your bucket list!

Why are you interested in joining Data Star?
Write about 4 sentences - and please include what you hope to learn, why, and how you would use those skills.

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* 11. Why are you interested in joining Data Star?
Write about 4 sentences - and please include what you hope to learn, why, and how you would use those skills.

What is your father's occupation?

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* 12. What is your father's occupation?

What is your mother's occupation?

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* 14. What is your mother's occupation?

How did you find out about Data Star program?

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* 17. How did you find out about Data Star program?

Please provide your LinkedIn Profile url

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* 18. Please provide your LinkedIn Profile url

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