Actually, a degree is optional to be a Data Analyst, but you must have the necessary hard and soft abilities to be considered for a career in data analysis.
Remember that most entry-level Data Analyst jobs typically need at least a bachelor’s degree. A master’s degree in Data Science or Business Intelligence is also advantageous—in 2017, IBM discovered that 39% of Data Analysts and Advanced Data Analysts’ jobs required a master’s or PhD.
Is a Certificate in Data Analytics Worth It?
Yes, a data analytics certificate is a very worthwhile investment because it will help you develop the data skills that employers are increasingly relying on, giving you more opportunities for advancement with your current employer and leading to better compensation.
As the demand for data capabilities has grown, so has the appeal of data analytics courses and certificates. The top IBM-accredited data analytics course provide students with the opportunity to master essential programming languages like Python, R, and SQL, among others, as well as receive hands-on experience with:
Visualization of data
Analytics for prediction
Why Should You Study Data Analytics?
There are numerous reasons to pursue data analytics training, whether through a data analytics certificate course or another type of professional data training. Here are some of the reasons why you should understand data analytics:
Data analytics skills are in high demand.
Simply put, there has never been a better time to work with data.
Around 2.5 quintillion bytes of data are created daily, and the rate is only increasing. According to the International Data Corporation’s 2017 prediction, global revenues for big data and business analytics would reach $150.8 billion in 2017, a 12.4 per cent rise over 2016.
In its 2017 report, The Quant Crunch: How the Demand for Data Science Skills is Disrupting the Job Market, IBM predicted that the number of employment for data professionals in the United States would increase from 364,000 to 2,720,000 by 2020. Furthermore, the report discovered that jobs in data analytics and data science are open for five days longer than the norm, that demand for data professionals is expected to climb 39 per cent, and that Data Scientists and Advanced Analysts are the fastest-growing roles in this area.
Employers demand up-to-date data training
Because the world of big data is changing at such a fast pace, most companies consider the quality of a candidate’s training and how recently it was obtained.
According to IT research firm Foote Partners, data skills and certifications have increased in value every quarter for the previous two years. This is consistent with what hiring specialists hear from firms wanting to hire data professionals.
“A data analytics certificate is a great idea at any time. It communicates to a prospective employer a real attention in the field and set of skills, as well as exhibits, work ethic and dedication,” remarked Shaun Term, Director and Advisor at Benchmarking Tech Hiring.
Your compensation could be increased if you have technical data Skills
Data roles currently pay well compared to other tech careers, with an average annual salary of roughly $99,558. There is evidence that even if you are already in this field, expanding your skill set could increase your compensation. According to IBM’s research, individuals with Hadoop experience, for example, are in demand for jobs paying more than $110,000 per year.
And according to IBM, there could be a lot of them. According to their analysis, if their anticipated availability of 2.8 million “analytically aware” individuals are accurate, practically all of those employees would have to find a new job immediately to fulfill specific analysis and data scientist positions.
Is a master’s degree in data analytics worthwhile?
While a bachelor’s degree is the most frequent entry-level requirement, some employers prefer individuals with a master’s degree in data analytics or a related discipline. According to a 2017 IBM study, 6% of data analyst job descriptions needed a master’s or doctoral degree. This figure rises to 11% for analytics managers and 39% for data scientists and advanced analysts.
Better-level degrees are generally associated with higher income. Employees with a master’s degree make a median weekly wage of $1,497 in the United States, compared to $1,248 for those with a bachelor’s degree. This difference equates to an extra $12,948 each year.
However, you can become a skilled data anaytst with by enrolling in top online data analytics course, which is designed for professionals wanting to upgrade their skills.
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