Data Science, Blockchain & Machine Learning

The tech market has never been so thriving and booming as it is now. If 2018 saw emergence of new fields in the world of technology, 2019 promises to be the year of those new fields only. Yes, you guessed it right – Data Science, Machine Learning and Blockchain technology are ruling the roost with their constant evolution and upgradation. And this is the time for you ride this tech wave and reach the soaring heights in your career.

No, this is not the time to ask questions. Especially if you have a tech background and want to explore the new waters in the tech world. So essentially this is the time for you to jump on the bandwagon and reap the benefits. Whether its machine learning, Data Science or Blockchain technology – take your pick, acquire the required skills and certifications and be ready to ride the wave of success.

It is quite interesting to know that all three fields – Data Science, machine learning and Blockchain Technology are growing exponentially, and while there is a surging demand for professionals in the fields. The challenge is to find the right talent in any of these three fields.

Yes, you read it right. There is a demand for certified professionals in Data Science, machine learning and even blockchain technology, however there is a skillset gap between the demand and supply. And to fill that gap you need to know what all specialization you will need if you want to go for ML specialist, Data Science or Blockchain technology.

Let’s have a look at those skills and certifications –

Data Science: The High Profile Job in Demand

What is so special about Data Science that every second person wants to opt for a career in Data Science Industry. The job profile might look glamorous and quite lucrative from the outset, but trust the industry experts that it can be quite monotonous if you don’t love playing with big data sets and find both problems and solutions from those data sets. But before we go deep into this let’s understand the basics here – like what is data science, and what all skills you will need to make it as a successful data scientist.

Data Science is a field that combines both statistical analysis and scientific research methods and help you in gleaning the insights or predictions based on the patterns of data sets. As a data scientist you will be required to analyze huge amounts of data. The role doesn’t end here. You will be required not only to make sense from that data but also create purposeful and applicable predictions for your company. It is quite interesting job if you really love playing with data, as almost every industry uses data science at some level, especially if you are working for a customer-dependent enterprise.

To give you a clear picture of what the future holds for a Data Scientist, here’s what Andrew Chamberlain, Glassdoor’s chief economist said about Data Scientist – “Data scientist has ruled as one of the hottest jobs for years, proven by its third consecutive No. 1 ranking on Glassdoor's 50 Best Jobs in America list. Not only are tech companies scrambling to hire data scientists, but industries across the board, from health care to nonprofits to retail, are also searching for this talent."

Isn’t it fascinating to note that Data Science is another field, which is being used in wide range of industries. Apart from Blockchain technology, which was invented to keep a record of cryptocurrency called Bitcoin. Coming back to Data Science, the most interesting part of this job profile is its complexity, as because of this feature, it will be difficult for these jobs to become automated. In fact, data scientists are helping in building technologies which will automate other jobs.

Now, you have sufficient information about Data Science industry, now let’s have a look at the skills, experience and certification that will help you in cracking this job.

• Programming languages (specifically Python or Java)
• R and SAS skills
• Strong analytical skills
• Strong mathematical skills
• A Master’s or Ph.D. in a STEM field is preferred but not always

One thing to remember here is that while there are numerous data science bootcamps that prefer an advanced degree for you to become a member. It is not at all impossible for you to become a data scientist if you are not a part of it. In fact, this is where you can avail data science certifications from reputed credentialing bodies like Hortonworks, Edureka, Data Science Council of America (DASCA) and be a part of Data Science community.

Data Science Certifications will prepare you for all the real-time challenges that you may face in the corporate world. It will also be helpful if you have one Hadoop certification as it will help you in your data science career.