How to Become a Data Scientist in Malaysia?

Datamites Team Datamites Team
Jul 31, 2023 Updated: Apr 23, 2024
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How to Become a Data Scientist in Malaysia?
How to Become a Data Scientist in Malaysia?

The demand for data science professionals in Malaysia is steadily growing as organizations across various industries recognize the value of data-driven insights. With the increasing importance of data analysis, machine learning, and artificial intelligence, there is a significant need for skilled data scientists who can harness the power of data to drive innovation, optimize business operations, and make informed decisions. As Malaysia continues to embrace digital transformation and invest in technology, the career prospects for data scientists in the country are promising, offering abundant opportunities for growth and development.

Introduction

Data science has gained significant popularity in Malaysia in recent years. With the rapid growth of technology and the increasing importance of data-driven decision-making, organizations across various industries have recognized the value of leveraging data to gain insights and drive innovation. 

The demand for skilled data scientists has risen, leading to the establishment of specialized data science programs and training courses in universities and institutes. This trend highlights Malaysia’s commitment to harnessing the power of data and indicates a promising future for data science professionals in the country.

Read the article: How To Become Data Scientist In India

Who is a data scientist?

A data scientist is a skilled professional who combines expertise in statistics, mathematics, programming, and domain knowledge to extract insights from complex data sets, utilizing scientific methods and advanced analytics techniques. 

The data science market is expected to witness a remarkable Compound Annual Growth Rate (CAGR) of 33.6%, as per the findings of the report by Allied Market Research. This growth trajectory indicates a significant expansion in market size, with a projected value of approximately USD $79.7 Billion by 2030. They leverage their analytical and problem-solving skills to uncover patterns, build predictive models, and make data-driven decisions, ultimately helping organizations derive actionable insights and drive innovation.

What are the career prospects for data scientists in Malaysia?

Data scientists in Malaysia have promising career prospects, both in terms of demand and salary. As organizations across various industries increasingly recognize the value of data-driven decision-making, the demand for skilled data scientists in Malaysia continues to rise. This high demand translates into attractive salary packages for data scientists in Malaysia. Depending on factors such as experience, qualifications, and the organization’s size and industry, data scientists in Malaysia can expect competitive salaries. 

The salary of a data scientist in Malaysia ranges from MYR 96,219 per year according to an Indeed report. The rapid growth of the data science field, coupled with the increasing importance of data-driven insights, suggests that data scientists in Malaysia can look forward to rewarding career opportunities and salary growth in the coming years.

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Factors for Optimal Data Science Course in Malaysia

When selecting the optimal data science course in Malaysia, several factors should be considered to ensure you make the right choice. Here are some important things to think about:

  • Course Content and Curriculum: Evaluate the course content and curriculum to ensure it covers essential data science concepts and techniques such as data preprocessing, machine learning, statistical analysis, data visualization, and programming languages like Python or R. Look for courses that offer a comprehensive and up-to-date curriculum aligned with industry standards.
  • Faculty and Instructors: Research the qualifications and experience of the faculty members and instructors delivering the course. Faculty members with practical experience can provide valuable insights and real-world examples.
  • Practical Hands-on Experience: Practical hands-on experience is crucial in data science. Look for courses that offer opportunities for practical exercises, projects, or case studies. Practical experience will help you apply the concepts learned and build a portfolio, which can enhance your job prospects.
  • Flexibility and Mode of Delivery: Consider the flexibility of the course in terms of scheduling, duration, and mode of delivery. Determine if the course is offered part-time or full-time, online or in-person, and whether it aligns with your personal circumstances and learning preferences.
  • Interview preparation: An added advantage is a course that provides interview preparation resources and guidance to help you succeed in data science job interviews.
  • Real-time Projects: It is beneficial to choose a course that provides hands-on experience with real-time projects and datasets, allowing you to apply your knowledge in practical scenarios and gain valuable industry-relevant skills.
  • Internship opportunities: Consider a course that provides internship opportunities or collaborations with industry partners, allowing you to gain practical experience and network with professionals in the field.
  • Career guidance: In Malaysia, consider a data science training course in Kuala Lumpur that provides career guidance and support, such as resume building, interview preparation, and job placement assistance, to help you transition into a successful data science career.
  • Alumni Success and Placement: Research the success stories of past students and check if the course has a track record of successful placements in relevant job roles or further education opportunities. Positive outcomes and high employability rates indicate the course’s effectiveness.

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DataMites: Top Choice for Data Science Course in Malaysia

DataMites is an esteemed training institute recognized globally for its diverse range of data science courses in Malaysia. Their comprehensive program covers various areas such as data analytics, data engineering, artificial intelligence, machine learning, and deep learning. The course lasts approximately 8 months, involving 700 hours of learning, including 120 hours of live online training sessions. DataMites holds accreditation from IABAC, and upon successful completion, students receive an IABAC certification. One of their notable strengths lies in their emphasis on industry trends, ensuring that students acquire the latest knowledge and skills needed to thrive in the rapidly evolving field of data science and achieve their career goals. The Certified Data Science Course in Malaysia provided by DataMites offers an outstanding learning experience with comprehensive and in-depth opportunities in the field.

Here are some reasons why the DataMites Data science training course in Malaysia stands out:

  • Ashok Veda and Faculty: Ashok Veda is a distinguished AI expert with 19 years of expertise in analytics and data science. He has a strong industry background in finance, healthcare, and technology, known for delivering exceptional results and promoting innovation. As the head of the faculty, he oversees various projects, using advanced Artificial Intelligence techniques to address intricate business problems and derive valuable insights from data.
  • Comprehensive Curriculum: DataMites provides a well-organized and thorough curriculum that covers all crucial data science ideas and methods. The course content is designed by industry experts, ensuring that students gain the knowledge and skills necessary to excel in the field.
  • Industry-Relevant Skills: The course focuses on imparting practical skills that are directly applicable in real-world scenarios. DataMites emphasizes hands-on training, providing students with ample opportunities to work on industry projects and gain practical experience.
  • Flexibility in Learning: DataMites understands the importance of flexibility in learning and offers multiple learning modes to accommodate diverse student preferences. Students can choose from online data science training in Malaysia, or a blended learning approach, ensuring that they can learn at their convenience.
  • Globally Recognized Certifications: DataMites provides globally recognized data science certifications in Malaysia upon completion of the course. These certifications validate the skills acquired by students and enhance their credibility in the job market, opening doors to a wide range of career opportunities.

Certified Data Scientist (CDS) Program

Conclusion

The future demand for data science in Malaysia is expected to be robust and promising. With the rapid growth of technology and digitalization across industries, there is an increasing need for professionals who can effectively analyze and derive valuable insights from large volumes of data. Data science plays a crucial role in decision-making, predictive analytics, and driving innovation, making it a highly sought-after skill set. As Malaysia continues to embrace digital transformation and implement initiatives like the National Digital Economy Blueprint, the demand for data scientists is anticipated to rise significantly, presenting abundant career opportunities in sectors such as finance, healthcare, e-commerce, manufacturing, and telecommunications.

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