Data science combines programming knowledge, logic, business, as well as statistics.
To a layman, data scientists and data analysts may appear identical. But when you dive deep, you understand that is not the case. Data science combines programming knowledge, logic, business, as well as statistics.
Data plays a decisive role in any organization. Considering the colossal size of data – private organizations and government bodies are keen on garnering valuable insights, which has led to an abrupt spike in demand for professionals who work data.
If you want to have a career in this field, here is a precise, step-wise guide to becoming a data scientist.
Get ready before you get started
Preparation for a career in data science can start before getting into college. But if you are past that age, considering a career as a data scientist, you can still get a head start before taking an online program.
Strengthen your programming language knowledge. Java, R, and Python are incredibly crucial for a good data scientist. Upskill your applied math and practice statistics. Data science is an amalgam of all these aspects.
If you practice all these facets of data science before taking an online course or launching yourself into college, you will have a stronger foundation.
Note: To make sure you are a right fit for the career, find a way to have early exposure to data science.
Get going – Get graduated
Mathematics, information technologies, statistics are the most desirable majors for a career in data science. If data science (as a degree) is available – it’s a no-brainer; go for it.
The experts in the field suggest minoring in the areas mentioned above. You must continue to grow your knowledge in database architecture and programming languages during your under graduation. Your undergrad course must have MySQL/SQL if you want to become a data scientist.
Students have enough time to spare to expand their network during undergrad. The college community is an excellent place to make connections and find internship opportunities.
Start early to long longer
The sooner you find an entry-level job in data science, the better. Remember, the journey of thousand miles begins with a small step. If you have ticked all the boxes mentioned above, you shall land on Junior Data Scientist or Junior Data Analyst position with relative ease.
To find a position in big firms with better pay, you should obtain certifications and system-specific training. Certifications in data visualization software, relational database management systems, data visualization software and other niches will be excellent for holistic personal and professional growth as a data scientist.
Specialise like a shark
Candidates with high-end degrees are preferred for more prominent roles. The desirable candidate has similar qualifications for a postgrad degree as an undergrad degree – Mathematics, information technologies, statistics, and computer science.
Organizations also look for candidates across STEM fields, including engineering, biotechnology, physics and many others. Keep in mind that data science professionals need to understand distributed storage and computation to operate and use enterprise-grade data management programs.
Climbing up the ladder
People who are good at multiple facets have higher chances of breaking into senior positions. Alongside an excellent technical base, you should also be leadership material for that. It significantly increases your chances to go higher up—the broader your range of knowledge, the higher your chances of getting a promotion.
Pro tip: To do well in this field, you need to become a jack of all trades as well.
Learn! Learn! Learn!
To keep growing, you need to stay relevant. This is a rapidly evolving field. Without staying updated with the innovations and market shifts, it will be hard for you to maintain a steep growth graph.
Data scientists always need to be on the edge of their seats. If you are taking a career as a data scientist seriously, following the above instructions can take you a step closer to a successful career.
Read More:Step By Step Guide On How To Become A Data Scientist