How Can a Data Analytics Certification Boost Your Career?

Here’s why you should learn data analytics

Worldwide, big data market revenues for software and services are projected to increase from $42 billion in 2018 to in 2027, gaining a CAGR of 10.48 percent, according to Wikibon. Additionally, an estimated 2.7 million job$103 billion postings for data analytics and data science are projected in the United States by 2020.

With more and more companies understanding the importance of Big Data as a useful source for gaining insights and making informed decisions, the demand for data analytics specialists who can define Big Data, uncover hidden patterns, spot opportunities and create insights for the improvement of business are surely benefiting from trending job opportunities in data analytics.

With big data seeing massive adoption, you’ll now find analytics being used from aviation route planning to predictive maintenance analysis in manufacturing plants. Even industries like retail use analytics to improve customer loyalty and tailor unique offerings.


Why Do You Need a Data Analytics Certification?

Increases Your Chances to Land Highly Coveted Roles

Simply put, a certification can increase your likelihood to get hired. In a study from Microsoft , 91 percent of hiring managers claimed that certification played a major role in the candidate selection process. It’s not easy to earn a respected data analytics certification and there are many lucrative opportunities for those who are certified in the field. Your resume will surely stand out from the rest when you have the relevant certification. Therefore, this gives employers another reason to invest in you.

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.

In the following chart, you can see other career paths that can be pursued once you get into data analytics:

It Makes You Eligible Across Multiple Domains

The skill sets developed in one industry or country are usually easily transferable to another industry or country. Hence, one is not tied to a particular industry and can explore opportunities in another industry in the future.

Less Investment Needed Than a College Degree or Learning on the Job

Comparatively, college degrees cost more and take longer. Additionally, students spend a lot of time and money learning a lot of general academics. With a professional certification, they receive practical training that better prepares them for the industry they’re interested in working in.

Learning on the job takes a long time and it is also highly unstructured. You could end up making avoidable mistakes, which may have significant costs to your career.

There aren’t any prerequisites, such as a college degree or diploma to get certified as a data analyst. But there are some strong skills that are required to excel in this field, such as analytical skills, numeracy skills, technical and computer skills, attention to details, business skills, and so on. These skills can make for a great data analyst, and can usually be acquired through a focused online education program.

It Shows Your Degree of Passion & Self-Motivation

It Defines Your Credibility

Potential Salary Increase

There are several factors that people consider when making their career choices, but let’s face it, one of those factors is often money. Social Security , tends to make an average of $139,840 reports that the average American income is $50,321.89 annually. But a few quick searches on some of the most popular job listing websites show that careers in the data analytics field often provide a lucrative salary that far surpasses the nation’s average. According to , the national average salary for data analysts is $58,522. But as professionals gain more experience and grow in the data analytics field, their salary tends to reflect those changes. Someone with a more advanced position in the industry, such as a data scientist . There aren’t a lot of other jobs out there that make it possible to make this kind of money without a college degree; usually, professionals in this salary bracket have professional degrees beyond a four-year college degree. annually

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