What Market Survey Foretell?

Recent market surveys project that the big data market revenues are set to increase from $42 billion in 2018 to $103 billion in 2027 globally, gaining a CAGR of 10.48 percent. Moreover, experts and market observers foresee an estimated 2.7 million job postings for data analytics and data science in the United States by 2020. The above market observations help us conclude without much of a doubt that more and more companies have started realizing the significance of Big Data in gaining business insights and making complex business decisions. Consequently, the demand for data analytics specialists who can define big data and dig out hidden patterns, understand the benefits and opportunities and capable of establishing insights for the improvement of business are surely benefiting from market opportunities in data analytics.
When new technologies become affordable and easily deployable, they help transform business rules. That’s what is happening with Big Data right now. With massive adoption of big data, market
will now find analytics being used across industries. For example, adoption of big data analytics in healthcare transforms the way the illness is diagnosed and treated, improves the quality of life as a
whole and helps avoid preventable deaths.

Why get certified as Data Scientist?

Looking at the career opportunities in the horizon, it can be easily said that a certification in data science can increase the likelihood of getting hired to a great extent. This has been corroborated by
various market studies by some of the global players. For example, a Microsoft study claimed that a certification in data science and related field play a major role in the candidate selection process as
stated by 91 percent of the survey participants. It can be said with reasonable confidence that a resume with the relevant certification will surely stand out from the rest and could be a valid
reason for the employers to invest on their potential hire. A certification validates the possession of the right skill sets. Therefore, employers tend to give preference to candidates who have professional training on data analytics and related technology domain primarily because these skills are relatively rare.

Varied Career Options

Some of the prominent roles that you may look for once you complete your certification.

Data Analyst: A Data Analyst interprets data and turns it into information which can offer ways to improve a business, thus affecting business decisions. Data Analysts gather information from various sources and interpret patterns and trends – as such a Data Analyst job description should highlight the analytical nature of the role.

Business Analyst: Although business analysts and data analysts are both data focused roles, they differ in that a business analyst analyzes data and assesses requirements from a business perspective related to an organization's overall system. Whereas, the main tasks of data analysts are to collect, manipulate and analyze data. In addition, they focus on algorithms to determine relationship between data that offer insights

Data Visualizer: Data visualization is about presenting large amounts of information in ways that are universally understandable or easy to interpret and spot patterns, trends and correlations. These representations include charts, graphs, info-graphics and other pictorial diagrams. Data visualization analysts use visualization tools and software to communicate information in these ways, for clients or for their own company.

Data Scientist: A data scientist is someone who creates value out of data. Such a person proactively fetches information from various sources and analyzes it for better understanding about how the business performs, and builds AI (Artificial Intelligence) tools that automate certain processes within the company.

Data Architect: Data Architects build and maintain a company's database by identifying structural and installation solutions. They work with database administrators and analysts to secure easy
access to company data. Duties include reating database solutions, evaluating requirements, and preparing design reports.

Data Analytics Manager: Data analytics managers provide direction to a team of data analysts. They build the team, make hiring decisions and decide where each analyst's skills will prove most
productive for the organization. They oversee the work of analytics department, ensuring its accuracy. They spend substantial amount of their time extracting and translating raw data into meaningful information.

Huge Job Opportunities vis-a-vis Skill Gaps

Almost 76,000 data analytics job roles remain vacant in India, despite a 76% jump in the opportunities created in the field between 2017 and 2018.  As huge amounts of data enter organizations in varied and complex forms, the need to create and fill an analytics has never been higher. But, despite the demand, roles remain to be filled owing to the educational institutions still not ready to meet the market needs. Data science market in India has seen phenomenal growth across sectors with various companies catering to consumer’s different needs. There are countless startups as well as bigger players requiring data analysts in large numbers, and they pay quite well too as per Indian Staffing Federation. The scope of data science in India includes organizations in banking, healthcare, biotechnology, pharmaceuticals, telecommunications, e-commerce, energy, and  he automotive industries. From a global perspective, India is only second to the United States of America to recruit data science professionals.