How Big Data Course can Boost Your Career

 

The world is getting increasingly digital, and this means big data is here to stay. In fact, the importance of big data and data analytics is going to continue growing in the coming years. Choosing a career in the field of Big Data and analytics will be a fantastic career move, and it could be just the type of role that you have been trying to find.

What Type of Education Is Needed?

Most data scientists – 92% – have an advanced degree. Only eight percent have a bachelor’s degree; 44% have a master’s degree, and 48% have a Ph.D. Therefore, it stands to reason that those who want to boost their career and have the best chance for a long and fruitful career with a great compensation will need to work toward getting higher education.

Some of the most common certifications for those in the field include Certified Analytics Professional (CAP), EMC: Data Science Associate (EMCDSA), SAS Certified Predictive Modeler, and Cloudera Certified Professional: Data Scientist (CCP-DS). The various certifications are for specific competencies in the field.

Now is a good time to enter the field, as many of the data scientists working have only been doing so for less than four years. This is simply because the field is so new. Getting into big data and analytics now is like getting in to the ground floor of a vibrant and growing area of technology.

 

Multiple Job Roles

Many professionals who are working in the field today have more than one role in their job. They may act as researchers, who are entrusted with mining company data for information. They may also be involved with business management. Just to name a few, here are a few different job titles you may be qualified for once you have a professional certification in data analytics:

 

Data Analyst:

Data analysts are expected to draw insight from the data that directly impacts business decisions. Data analysts are directly involved in day-to-day business activities and there are a lot of ad hoc analyses that a data analyst is expected to do.

 

Business Intelligence Analyst:

BI analyst uses data to help figure out market and business trends by analyzing data to develop a clearer picture of where the company stands. The major difference between a data analyst’s role and a BI analyst’s role is that a data analyst focuses on algorithms to determine relationship between data offering insights. A business analyst, on the other hand, analyzes data and assesses requirements from a business perspective related to an organization’s overall system.

 

Data Visualiser:

A data visualiser is responsible for creating weekly dashboards to inform the management about weekly sales of different products, orders, user flow, user behavior, and so on.

 

Data and Analytics Manager:

In this role, the manager leads the team and s/he gives direction to the data science team and makes sure the right priorities are set. The person combines strong technical skills in a diverse set of technologies, such as SAS, R, SQL, Excel, Python, among others,along with the social and leadership skills required to manage a team.

Being versatile and being able to take on various roles can make a person more valuable to the team.

Being willing to work in a variety of fields can help, too. While the technology field accounts for 41% of the jobs in data science currently, it is proving to be important in other areas too. This includes marketing, corporate, consulting, healthcare, financial services, government, and gaming.

 

Keep up with the Changes

The field of big data and analytics is not static. As technology changes and develops, so will the field. It is vital that those who are in the field of big data and analytics and want to upgrade their career, take the initiative to stay up to date with any changes that could affect the field.

Opting to work in big data and analytics could be a great career move.

The Big Data Professional post-graduate Certificate at N.L. Dalmia is a 480 hours course which is a unique combination of interdisciplinary coursework and cutting-edge research. Here, you will be able to learn from the best minds with over 15+ years of industry & Data Science management experience. The course encompasses SAS programming, Introductory Statistics, Data Management & Manipulation, Data Quality, Hive & SAS, Working with Hadoop and Data Visualization. Ideal for students with a strong background in engineering and mathematical sciences. You can expect to be trained as experts in data management, analytics & business visualization. To add to all of this, their technology partners are SAS.

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