How to Boost Your Career in Big Data and Analytics

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 careers and have the best chance for a long and fruitful career with excellent 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 perfect 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 into 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. Around 40% of professionals work in this capacity. Others work in creative and development roles. Being versatile and being able to take on various roles can make a person more valuable to the team.

Want to begin your career as a Data Engineer? Enroll in our Data Engineering Courses and get certified.

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 also. This includes marketing, corporate, consulting, healthcare, financial services, government, and gaming.

Add More Skills

To become more attractive to the hiring companies, those who are in the big data and analytics field can work toward adding more skills by taking additional courses. Some of the options to consider include:

• Hadoop and MapReduce
• Data Engineering
• Real-Time Processing
• NoSQL Databases
• GTA Support
• Excel
• Data Science with R
• Data Science with SAS
• Data Science with Python
• Data Visualization – Tableau
• AI and Machine Learning
• CloudLabs for R and Python

Continuing to take courses to keep abreast of the latest technologies will provide you with the edge needed to become a valuable member of any team. It shows initiative and drive, and it makes you an asset to the companies.

Want to begin your career as a Big Data Engineer? Check out the Big Data Engineer Training Course and get certified.

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.