Ten Easy Steps Toward a Certified Data Scientist Career
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Data scientists are the new-age genie, and data is the very lamp that ushers business-centric insights. No doubt, tech advancements have seeped into every aspect of our lives. This calls for an umpteenth times revolution in the way we envision our data and retrieve meaningful insights.
What Is Data Science?
The science or the sheer skillset that a gazillion of recruiters around the world is eyeing, data science is the mastery every industry needs today. Data science has become the lifeblood of industries far and wide. Healthcare, eCommerce, Artificial Intelligence, and many other industries have leveraged high benefits out of the data rigmarole.
Data science is the study of data in order to assist in extracting meaningful insights for business via deploying a multidisciplinary approach to analyze large data sets.
Who Is a Data Scientist?
The data experts who possess the technical prowess to solve problems ranging from easy to complex and envision what problems could arise in the times to follow are data scientists. Performing such highly skilled tasks requires scaling up your performing capabilities by piling on some incredibly future-proof skill sets. From being a math aficionado to a part tech scientist to a part trend-spotter- If this wide-spanning profile excites you, then a certified data scientist role awaits you.
Why Become a Data Scientist?
From Glassdoor’s ranking, Data science becoming the third-best job role in America; believing the predictions by the Bureau of Labor Statistics, employment of skilled data scientists is projected to grow at a CAGR of 36% between the forecast period 2021-31. Not just that, the market size for data science platforms is expected to experience a mark of whopping USD 178 billion by 2025. The rise in the annual salary package of senior data scientists is expected to touch a massive USD 100,000 mark within the next three years.
These numbers are surely enough to draw anybody to the widely flourishing data science industry. Apart from the perks you’d enjoy, the role brings in the requisite adrenaline rush for the ones keen on working with numbers and humungous data.
Data Scientists Qualifications Code
- Bachelor’s or Master’s degree in STEM subjects
- Good understanding of statistics, mathematics, computer fundamentals, and machine learning
- Expertise in one or more of the programming languages
- Core understanding of databases
- Exposure to big Data tools such as Hadoop, Spark, MapReduce, etc
- A knack for mathematics and numbers
- Problem-solving behavior
Step-by-Step Quick List To Become a Certified Data Scientist:
- Bring the basic educational prerogatives
- Learn data wrangling, visualization, and reporting
- Excel at statistics and mathematical skills
- Master coding
- Understand databases
- Big Data expertise
- Gain hands-on experience, network, and collaborate
- Earn a data science certification badge
- Take an internship or a job
- Engage in a data community
What To Learn?
Talking of the data scientists’ skills, the technological aspect has always been given weightage. No doubt, being a tech-powered playfield, data scientists are required to offer soft or non-technical skills as well in order to collaborate and function smoothly across teams and stakeholders. A good understanding of Excel, SQL, VBA, Visualization and reporting, data manipulation, ML, predictive modeling, Big data, and Cloud computing would sail you through easily.
Scope of a Data Scientist Role
DEMAND |
SUPPLY |
GROWTH |
Data is at the core of everything, hence leverages profit margins and accomplishes objectives. It has experienced a 650% growth rate since 2012. |
Shortage of available data scientists is just as real as any other supply chain challenge; due to the simple reason of the novelty of the data industry |
*As per USBLS, 36% growth in data science jobs until 2031. *A mammoth of 40,500 jobs to open in the data science realm. *USBLS projects 15% growth in related job opportunities by 2029 |
Remuneration Trends:
- Industry-wise: The highly rewarding data scientists’ industries include IT and computing, data hosting and processing services, Payroll, accounting, and bookkeeping industries. Telecom takes the major share, only followed by retail, pharma, and eCommerce.
- Gender-wise: With around 80% of the workforce in the US data science industry being male-dominated, the female ratio settles at only 20.4%. This also infers the domination of the male pool over the counterpart in terms of remuneration as well.
- Country-wise: National average salary for a data scientist in the United States sits at USD 121,163. The median salary for the United Kingdom looks at Pound 65,000; for Australia, it sits at AU Dollar 148,360, and for Canada, it settles at USD 120,000 annually.
Role of Data Science Certifications and Courses
No doubt, such a rewarding career path would accept only the best talent pool. This sets the bar high for every aspirant to mark their beginnings right with only the best data science certifications from across the globe. Pick the best with the quick selection tips:
- Program content
- Program cost
- Mode of program delivery
- Prerequisites or qualifications needed
- Brand reviews
- Time Involved
- Coached by
- Credibility of the brand
Ask yourself; Do the certifications address what you really aspire to?
Final Words
With the core data scientists’ qualifications in place and gaining a strong hold on theory as well as the practical aspects of the credentials. It calls for an informed decision by a data science aspirant. Make the right move while thinking it through — What is your calling in data sciences?
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