Data Science has emerged as an important discipline for business growth in recent years. With corporations’ increasing demand for data analytic specialists, data analytics skill has become a highly sought-after skill. It motivates many IT talents to pick up the skills for a career change.
How to learn Data Science? For those aspiring data scientists but with absolutely no idea how to get started, what’s the best way to go about it?
1. University Degree in Related Discipline
How to learn Data Science? In Hong Kong, there are many available options to learn data science and to get officially certified. For instance, HKU, Chinese University, and HKUST provide master’s degrees in Statistics, Data Science, and Big Data Technology.
PROS: The upside is, a university degree is a recognized benchmark to a specific skill set that certainly impresses your future employer, thereby enhancing the likelihood of getting hired.
CONS: Learning data science in university is a considerable investment of both money and time. It can take up to 2 years to complete a degree in Data Science. It might be time-consuming for those who expect a large return in a short period of time.
2. Certificate Online Courses
How to learn data science without the luxury of time and money? Taking an online course is a great alternative to finding your way into a data science career. Online courses related to statistics and data science are wide-ranging from comprehensive big data and business analytics to data analytics crash courses, which are designed to accommodate students at different levels.
PROS: The perk is that you can learn at your own pace and select courses that are tailored to your needs and schedule.
CONS: Online course has relatively less interaction with both instructors and other students, which might undermine the overall student success. The quality of instructors is another important consideration because it directly affects students’ learning outcomes.
Remember to look for internationally recognized online courses, otherwise, your certificate would just go down the drain.
3. Internal training within organization
Learning data science can be free-of-charge (but only if you are lucky enough to have the right employer)! Due to its high demand, finding data science specialists can be a challenge for employers. Thus, more corporations opt to organize Data Science training programmes to train employees with the aptitude to fill the skill gaps.
PROS: Learning data science can be free! You can also look for internal opportunities to get involved with the Data Science projects, which is a great learning opportunity.
CONS: Not a lot of corporations are generous enough to provide this kind of professional development. Sometimes, you might need to take the initiative and ask for the option of internal training.
4. Short training courses
If the above options do not seem conceivable to you, how about taking short-term training courses with a high-quality course provider like Venturenix Lab?
PROS: Learning Data Science can be fun and effortless! Venturenix Lab offers a wide range of data science-focused courses. With seasoned instructors to preside over the courses, Venturenix Lab-trained students will be equipped with up-to-date data analytics skills that hone their competitive edge.
With a solid bonding within the IT community, Venturenix Lab also helps strengthen students’ resumes and Linkedin profiles to boost their chances of getting a job.
CONS: Enrol in one of our courses and find out yourself!
