Data Science is a Vast Field – Play by Your Own RulesInformation TechnologyUpdated on Jul 10, 2018 View more like this | Visit Malaysia, UN | Contact Mac Wills |
Data science is an interdisciplinary field and the term encompasses more than meets the eye. The job role of a data scientist is definitely different from any other role in the IT or software industries; it is the role of a scientist – characterised by constant innovation, experimentation, trials and errors, however errors come costly. Well, this is an ideal definition but if you search for data scientist jobs in Malaysia in portals like Jobstreet or Glassdoor you will find that the jobs listed there have a wide range of requirements and responsibilities a few of which match with the conventional idea of a data scientists . The truth is that there is no such thing as an entry level data science job, you enter the industry as an analytics professional, a data engineer or modelling engineer, and work your way up the ladder.
The courses and the curriculum
Data science education is a government funded endeavour in Malaysia; but the number of data science professionals created in the government aided programme is limited and insufficient. Skill gap in data science and data analytics is a global issue and it also prompts great opportunities for young enthusiasts to built great careers in these fields; hence the various institutes which offer data science course in Malaysia have become so important. The curriculums offered are supposed to be at par with the global standard and should change with the industry trends. The technology used today might become obsolete a few years later so the students have to be flexible with their choice of technology, the learning process should never cease. You may prepare for a specific job but it is better to learn the technologies which are trending and you will find that companies are actually chasing you.
Skill gap in new technologies
The field of data science is constantly evolving; it is penetrating new areas of human life, the technologies and techniques of dealing with data are also evolving. One has to keep an eye open for rapidly growing tools and techniques. Each new tool comes with easier and cheaper solutions for companies but not with professionals adept in that tool. With every change a new market opens up. If you are cautious enough to spot such shifts and act accordingly you can really ride the market.
See, assess, learn and apply
Keep an eye on the industry, look for changes in the job listings for data science and analytics, and look for new tools that seem to be making appearances. Keep in touch with the tech magazines and journals that inform about emerging technologies in the field of your interest. Join forums which updates on emerging tools. You will not need to devote a lot of time for this but in turn it can yield great results for you. The successful data science professionals are not just good with their tools but also good with networking and choosing the tool.
The courses and the curriculum
Data science education is a government funded endeavour in Malaysia; but the number of data science professionals created in the government aided programme is limited and insufficient. Skill gap in data science and data analytics is a global issue and it also prompts great opportunities for young enthusiasts to built great careers in these fields; hence the various institutes which offer data science course in Malaysia have become so important. The curriculums offered are supposed to be at par with the global standard and should change with the industry trends. The technology used today might become obsolete a few years later so the students have to be flexible with their choice of technology, the learning process should never cease. You may prepare for a specific job but it is better to learn the technologies which are trending and you will find that companies are actually chasing you.
Skill gap in new technologies
The field of data science is constantly evolving; it is penetrating new areas of human life, the technologies and techniques of dealing with data are also evolving. One has to keep an eye open for rapidly growing tools and techniques. Each new tool comes with easier and cheaper solutions for companies but not with professionals adept in that tool. With every change a new market opens up. If you are cautious enough to spot such shifts and act accordingly you can really ride the market.
See, assess, learn and apply
Keep an eye on the industry, look for changes in the job listings for data science and analytics, and look for new tools that seem to be making appearances. Keep in touch with the tech magazines and journals that inform about emerging technologies in the field of your interest. Join forums which updates on emerging tools. You will not need to devote a lot of time for this but in turn it can yield great results for you. The successful data science professionals are not just good with their tools but also good with networking and choosing the tool.
