Recently, many individuals have abandoned their corporate careers and are seriously exploring a career change to data science. While other workers, whether in marketing, finance, HR, sales, or operations, want to get more advanced in their jobs by becoming more data-driven.
A few entrepreneurs are interested in learning how to leverage data to become more competitive and develop their companies. Then there’s the group of non-profit and for-profit start-ups vying to create the next big app, with the goal of solving society’s most pressing problems or disrupting an entire sector through data.
If you’re willing to improve your skills and pursue more education in data science which is a part of the computer science engineering course, then below are the top four recommendations for selecting the best data science course.
1) Be Clear About Your Career Choices
Being a data scientist is only the beginning. While many aspire to be one because it was named the “sexiest job of the twenty-first century” by the Harvard Business Review in 2012. Additionally, there are other roles in the data value chain that are equally important, in-demand, and even more rare given the needs of most businesses, particularly in the Philippines.
The Data Steward, Data Engineer, Data Scientist, and Data Analyst are the four primary jobs in data science and analytics, according to the Analytics Association of the Philippines (AAP). And each of them would have a set of talents that are distinct from the others.
2) Have An Honest Score Of Your Skill Levels
Knowing what you don’t know and having the acceptance and drive to acquire and study new abilities, no matter how unpleasant or intimidating they may seem, is the first step to learning and becoming more than what you are today. Taking a self-assessment test will help you discover what suits you the best.
3) Choose Courses As Per Your Budget
Massive open online courses (MOOCs) like Coursera, edX, and Udacity have exploded in popularity, making excellent education accessible to people all over the world.
Technology has clearly changed the education sector, allowing everyone to gain new skills, develop their careers, and offer high-quality educational experiences at scale and at their own speed. You can refer to these courses and choose a course that fits your budget and enhances your skill set.
4) Decide A Specific Time And Effort To Put In
If you want to take this seriously and enjoy the benefits as soon as possible, you’ll need to decide the amount of time and effort you’re willing to put into learning data science and analytics.
If you are presently working or operating a business, you may want to consider taking online courses at your own speed, enrolling in courses with after-work and weekend schedules, or enrolling in 2–3 day boot camp training if you cannot afford to be away from work for an extended period of time.
It could appear that becoming a data scientist is a challenging task. To be quite honest, it is not straightforward; like any other learning experience, it will need time, practice, patience, and perseverance. On the other hand, a college diploma will not be necessary.
There are so many data science course materials available online that it’s easy to get overwhelmed and lost in your hunt for the one that’ll work best for you. So, choose a course wisely.