How can a Data Analytics Certification Boost Your Career?

 

The revenue of big data as a market for software and services worldwide is expected to rise from $42 billion in 2018 to $103 billion in 2027 according to Wikibon. As more and more companies realize the importance of big data, the demand for data analytics and data science professionals is likely to skyrocket in the next few years.

With big data analytics witnessing massive adoption across industries, let us look at why pursuing a big data certification is fast gaining importance.

Get lucrative roles

Certification in data analytics can increase your chances of getting highly coveted roles. With the relevant certifications, your resume will be able to stand out in the sea of potential candidates, giving employers a reason to consider you over others.

Once you get a big data certification, you will be eligible for different job titles, including:

Data Analyst: The primary responsibility is to gather insights from data that influence business decisions.

Business Intelligence Analyst: This role requires analysing data to infer market and business trends to benchmark the company's position.

Data Visualizer: A data visualizer must build weekly dashboards related to different aspects of business-like sales, customer behaviour, user flow, etc.

Gives you the flexibility of working in any sector 

Big data is no longer related to IT companies. Today, industries such as e-commerce, finance, healthcare, entertainment, and retail are equally leveraging big data to gain valuable insights. For this, they are employing data scientists at a rapid pace. Certification in data analytics can give you the flexibility to work in any of these sectors and explore future opportunities whenever they arrive. 

Requires lesser investment than a college degree 

A professional certificate in data analytics is comparatively cheaper than college degrees and takes less time for completion. A certificate provides practical training of the subject that you can implement during your job. This practical knowledge is always recommended and better prepares you for all industries. 

On the other hand, learning on the job only provides you some knowledge about the huge field of data analytics. Therefore, to hone your analytical skills, numeracy skills, and technical and computer skills, it is a good idea to invest in a focused certification that provides hands-on projects, assignments, and interaction with experts across industries.

Shows your passion and commitment 

A big data certification shows your potential employers your passion and commitment towards the subject and self-learning. It will show that you take your career seriously and are driven and sincere about it. Certifications are also a great way to stay up to date with the industry trends so that you don’t miss out on anything important. Employers know that most certifications provide unmatched hands-on experience that can be applied to their businesses as well, and therefore, always look out for such candidates. 

Potential salary jumps

As the demand for data analytics professionals continues to rise, companies are willing to pay lucrative salaries to draw the right talent and retain them. This salary often surpasses the national average of the industry because of the critical role and its importance. As you go up the ladder and pursue certifications, your salary will increase at a pace that cannot be witnessed in any other job profile and industry. 

Conclusion: The next steps

Now that you know the importance of pursuing big data certification, you need to explore an online program from a reputable learning platform. Manipal ProLearn offers PG Diploma in Data Science for data science aspirants which can be opted for full time or online. However, reading reviews online of not only the course but also the institution is also important before opting. You should also read more about the facilitator and teachers of the course to understand who you’ll be learning from. So, take that one step ahead and boost your career as a data scientist.