Data Scientist Evergreen Career, Demand for Data Scientist to Grow High Worldwide:
Data consumption has already increased manifold during the global pandemic anyway. As much data is being generated, its consumption is also being done accordingly. Mobile phones, social media, apps, payment wallets are generating so much data that the need of experts is being felt to manage it.
According to a study, the demand for data scientists around the world is estimated to increase by about 28 percent. The US is the first in terms of making the most appointments in the field of data science or analytics.
Anuj Sharma working in a bank after pursuing an MBA from a top management institute. Under this, he had to work with data on a large scale, when an engineer friend told him about data science. Initially, they did not understand much. But after exploring, it was discovered how simple data science can make the work. That is why companies are able to understand customer demand and choice etc. easily through data.
Actually, data scientists study data. By analyzing the data, they help companies or institutions plan for the future. Under this, they collect data first. Then store them and then sort them into different categories i.e. packaging of data. Finally, data delivery takes place. Simply say that data scientists know how to visualize data better. Apart from all this, they also help in finding the lost data, removing the mess, and avoiding other flaws.
Important skills with studies:
To become a data scientist, a candidate must have an MTech or MS degree in Maths, Statistics, Computer Science, Engineering, Applied Science. Course in Data Science needs Maths, Algorithm Techniques, Statistics, Machine Learning, and Programming Languages like Python, Hive, SQL, R, etc. Learning has to happen. It requires a lot of hard work, time, and patience.
The data scientist should have good business sense and strong communication skills. Also, it is good to gather complete information about any program or course before selecting it. She herself is doing an online course from Learnable, which is industry oriented. This helps in doing practical work.
Course:
If you want to learn online, you can explore the platforms of Simplilearn, Jigsaw Academy, EduReca, LearnBay, etc. According to experts, the maths background is beneficial for making a career in data science.
The possibilities:
By 2026, there are expected to be around 11 million new jobs in this sector. In addition to the data scientist, young people who want to make a career in this field can work on the profile of data engineer, data administrator, statistician, data and analytics manager, etc. There will be good demand in sectors like agriculture, healthcare, aviation, cybersecurity.
Hiring will increase even after COVID 19
Data scientists play an important role in building business analytics, data products, and software platforms. Today, 2.5 quintillion bytes of data is being created in the world every day, which will require skilled professionals to manage. There will be tremendous opportunities for them. Especially in Big Data Analytics and the IT industry, they will have special demand.
According to a global study, after COVID 19, millions of data science professionals will be needed in the US alone. Global companies will hire a large number of data scientists to manage their businesses.
But it would be better to do a full course. If they can work with machine learning in deep learning frameworks like Neural Networks, TensorFlow, Carus, PyTorq, have working knowledge of Hadoop and Spark, then there can be golden opportunities to move forward in the industry. It is also important for the data scientist to have critical theming.
