How to build a career in Data Science
With Big Data Analytic skills, you have more opportunities to move up the hierarchy in your career. Starting initially as a Data Analyst or Business Intelligence Analyst, you can gradually move up to positions like Data Scientist or Senior Data Scientist.
Preparing for a career in Data Science? Take this test to know where you stand!
What Is The Lure of Getting Into Data Science?
In a study carried out by leading IT Service Firms in 2011, it has been predicted that there has will be a growth of 18.7% in companies looking for data scientists from 2010 until 2020. The opportunities to get started, therefore, still current.
Currently, the average salary for people who opt for a career in data science is around $118,000 per annum, which is almost double than that of a programmer.
Thus, in an industry where opportunities are plenty, finding a suitable position after gaining the necessary qualifications shouldn’t prove difficult now or in the future.
Stages of Your Career as a Data Scientist
There are several schools that also offer courses that are much more career focused. These courses allow you to gain in-depth knowledge about certain aspects of the industry. Once you have gained the necessary qualifications, most professionals can expect to earn around $78,000 a year. But knowledge and experience, can help you earn as much as $130,000 a year.
Business Intelligence Analyst
Data Mining Engineer
Senior Data Scientist
There is the opportunity to earn a good living as a data scientist. But to get there, you need to gain a high level of experience and be willing to train hard. Online courses on Data Science have now made it possible to continue working in less senior positions, even as you study and learn. Upon completion of your training/learning, you can then gain the qualifications needed to apply for more senior roles.
Working As a Data Scientist
You will also need to stay abreast of latest changes in the industry. With new tools and techniques being developed, you need to know how to utilize these. Also, further training is vital, especially if you want to work your way up the career ladder. Taking courses to enhance your computer programming skills is also a good idea.
In addition, Data Scientists would need to be proficient in a number of tools, without which making sense of raw data could be difficult.
What Is the Outlook Like, For Certified Data Scientists?
And as demand for people to fill such positions increases, the salaries offered will do as well. However, it is important to remember that your role as a data scientist differs greatly from that of a forecasting or modelling analyst.
You aren’t just expected to explain what effect the data is going to have on a company in the future but also expected to help come up with solutions that will help the company to move forward now and in the future.
Also, the opportunities will prove to be endless as, over the next few years, as many as 4.4 million jobs are going to be created in the IT industry. Of these, a large number will revolve around the analysis of data, and around half are going to be located in the USA.
Working as a data scientist may seem challenging for anyone who wants to stick to what they know. But if you are willing to take a risk and step outside the box, then your prospects are very bright. It won’t be long before you start to see a good return as you rise upward in your career ladder.
In terms of opportunities, major companies like LinkedIn, Facebook and Google, are always on the lookout for fresh talent. As they amass large amounts of raw data, they need dynamic, certified Data Scientists to help them understand it better, and to leverage this data to drive their business.
But it isn't just e-commerce where the hiring of such skilled professionals on the rise. There has arisen a significant need for Data Scientists in the Healthcare domain as well. The migration towards electronic patient records means that they are having to construct huge data sets. They then need to be able to understand what all this data means, so that they can provide a high level of service to their patients.
About the On-Demand Webinar
About the Webinar