5 Ingenious Tips For A Promising Big Data Career

choosing data science as career
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Big data has been billed as being the future of business for quite some time. However, the future is now. Analysts have found that the market for big data jobs increased 23% between 2014 and 2019. The market for Hadoop jobs increased 58% in that timeframe.

The impact of big data is felt across all sectors of the economy. It provides very lucrative employment opportunities to talented workers. If you would like to start a career within the big data booming industry, check out the following five tips to help you launch your new career.

1. Choose a Career

No matter what your educational and career background is, it is essential to have an end goal. It isn’t any different when it comes to starting a new big data career. Clearly defining what your career goals are prior to selecting a career focus is a very important first step, since there many different paths you can take within the data science field.

To help you get a better idea of the best position for you in big data, speak to professionals who work in this industry to determine what is involved in various roles (market research, data visualization expert, data engineer, data scientist, etc.). Most people love talking about their work, so try to find ways to network in the industry, and obtain some mentorship and insight from established professionals, and ask them relevant and important questions. From that point, it will be much easier to determine which role fits your set of skills and interests the best.

You should always make your first step your CV. It needs to stand out, and reflect your experience, knowledge and training. If you can’t write, or you’re very nervous, then I suggest you get your CV professionally written.

2. Learn As Much About The Role As You Can

After you have determined your specific niche within the big data industry, it is then time for you to start building on your expertise and become a leading candidate for a role in the area you have chosen. As demand for data scientists has grown, many resources have emerged for learning the profession. If you do some research, you will find many free and paid training courses that teach you all of the necessary things you need to know to succeed in the role you have chosen. You need to do as much research as possible about your career path in the big data field. Taking a course and applying yourself is one of the best ways to obtain the expertise that you need according to your own schedule to prepare yourself for your new career.

3. Find A Specific Tool To Specialize In

The data science industry offers various useful computer languages. After you have determined your preferred career field and discovered some resources that help you prepare for it, it is important to figure out which computer language is most applicable to that specific area. You can begin with some of the basic languages to learn more about coding, or one you are familiar with already. However, don’t try stretching yourself too thing attempting to master multiple advanced languages at the same time.

Not many positions require you to have advanced knowledge of multiple languages. There is not much room for a “Jack of all trades and master of none”, since it is much better to become an expert in a single language that is valuable to your role than to attempt to learn all of them.

4. Learn How To Be Practical

There is plenty of theory that goes into the big data world, and it is easy getting caught up with theoretical work that does not have a lot of practical application for the actual world of business. When starting your career, it is very important to stay focused on what you are attempting to do, and how the skills you are developing will be useful in real-world settings.

One of the very best ways that you can simulate this before you get a big data position to apply your learning to the open data sets that are available. That will provide you with the opportunity to interpret results and to become more familiar with analyzing data, and that will be something you can show to prospective employers when you are looking for a job.

5. Identify Immediate Opportunities

For people who are employed in the business sector already, you don’t need to look outside of the company you are working in to find ways to make contributions as a data scientist. If you are not doing any data analysis for your employer already, the best way to approach this is to find incremental, small ways to provide useful insight so that your superiors start to gain trust in you. Find ways to provide information that is not displayed currently within the business reports of your company and that will get the attention of your bosses. You can then start to implement more complex analysis such as predictive modeling and continue to move your way up through the ranks.

The industry of big data is only starting to reach its full business potential. Data scientists continue to be in increased demand, and there is plenty of money and jobs available in this field. Follow the five tips above to get your big data career launched successfully.

Conduct Your Due Diligence to Thrive in Your Big Data Career

The big data career is very promising. There are a lot of things that you need to keep in mind when you want to start on this path. Having the technical competencies alone is not enough, so make sure that you do everything necessary to thrive.

Sean Parker is an entrepreneur and content marketer with over 5 years of experience in SEO, Creative Writing and Digital Marketing with Rank Media. He has worked with several clients from all over the globe to offer his services in various domains with a proven track record of success.