Sun. Oct 17th, 2021

How Data Analytics Certifications Help Becoming a Data Scientist

Data science is a booming sector, and every college graduate wants to break into this lucrative domain irrespective of the discipline of study he had chosen in his graduation years. However, certain subjects are fundamentally compatible with the discussed sector, any collegegraduate these days can get his foot in the door by learning the related concepts via online certifications.

Before we move ahead, let’s understand who is a data scientist? As per popular job-search firm Indeed – a data scientist is a technologist having a degree in either one of the subjects that include computer science, statistics, mathematics, economics, or a related subject. 

As per Wikipedia, the definition of data science is – An interdisciplinary field of study that utilizes learning of scientific methods, algorithm development, and wherein, the digital data (both, in structured, and unstructured form) is absorbed to extract valuable insights.

The Role of Professional Data Science Certificates

Certifications demand of you to be knowledgeable about a certain set of educational disciplines that comprise programming, statistics, applied mathematics, and business communications. Once you have your basics in place, you can certainly enrol in a related online data analytics certification. The most in-demand right now are data science certifications in Python, R, ML, Statistical Modeling, SQL, and AI, among others.

Educational Background & Skillset Required to Become a Data Scientist

Having a degree in any of the below-mentioned educational disciplines would help fast-track your case to becoming a data scientist:

  • Computer science engineering
  • Applied Mathematics
  • Economics
  • Statistics
  • Physics

However, if you are degree-holder in a different educational stream other than the mentioned above, don’t lose hope. It’s just that you will need to do more hard work to beak into the domain.

As mentioned above, a bachelor’s degree in a technical field is the bare minimum to enter the said domain. Added to that, you would need to learn some specific practical skills that get applied in the industry in day-to-day data science tasks. Familiarity with popular big data tools and platforms such as Hadoop, Spark, Hive, Pig, and MapReduce will work as big advantages later in your professional career.

Furthermore, you must know to code in at least one of the major programming languages such as Python and R, that are currently being used in the industry to develop ML  algorithms. Knowledge of other statistical computing languages would be an added advantage.

Requisite Hard Skills

The list of hard skills to learn for cracking a job role as a data scientist would include data mining, deep learning, machine learning, and the skillset to integrate unstructured and structured raw data. Hands-on experience at statistical research techniques that comprise clustering, modeling, data segmentation and visualization, and predictive analysis would come handy on your way forward.

Demanded Skillset in Majority of Data Science Job Postings

  • Knowledge of data cleaning, data modeling, deployment and validation.
  • Understanding of general data warehouse structures.
  • Hands-on experience at applying statistical tactics to find solution to analytical problems.
  • Proficiency in common ML frameworks.
  • Basic knowledge of working with public cloud platforms.
  • Understanding of different data formats, such as YAML, XML and  JSON.
  • An advanced formal education (degree) with majors in any one of the study disciplines – economics, operations research, data science, computer science, statistics, or a related quantitative field. 
  • Experience with working on tools such as Power BI and Tableau
  • Must know to code in programming languages such as Scala, Python and R.

Professional Data Science Certifications Can Aid into Your Preparations

Enrolling in a skill-specific data science certification will certainly improve your chances of cracking a job interview for a data analytics role. People armed with certifications usually impress the recruiters more than their non-certified counterparts. Further, certified individuals inspire greater trust and confidence among the hiring managers. They seem more serious and dedicated to their professional commitments in the eyes of the recruiters.

It would be highly advisable to acquire as many skill-specific certifications as you can. With acquiring such valuable credentials, you not only multiply your chances of getting shortlisted at the job interviews, but it also helps you learn and practice the currently-employed data science concepts and tactics.

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