During the ongoing time of pandemic, right from work from home to children’s education and doctor’s advice, many small and big tasks are being done online from homes. Online payment services for contactless shopping are being expanded. People are spending more time on social networking and gaming than ever before. While the use of online services has increased, it is also becoming increasingly important to manage the data generated through it.
As a result, there is great potential for data companies to expand their business. It is also anticipated that in the near future, there will be a massive revival of data science professionals to manage the database by companies from different sectors.
In this case, if you want to make a career in a field full of possibilities, then you can turn to data sciences. Data Science is understanding the science associated with statistics. Data science involves the evaluation, calculation and impact analysis of statistics.
Today, companies are making positive improvements in their services with the help of data science to expand their operations and connect more and more customers with themselves. In data science, data analysis is divided into three parts and stored.
In the second part the data is packaged i.e. they are sorted into different categories and in the third and last part the data is delivered.
For data science, short term courses in business analytics specialisation are being conducted by various institutes in the country. In addition, Certificate in Big Data Analytics and Optimisation, Post Graduate Certificate in Data Science, PG Diploma in Data Analytics, SSC in Data Science and Analytics, two-year PGDM in Data Science or programme in this field can make way for huge job opportunities.
Vast opportunities are available in both public and private sectors for young people with knowledge of data science. You can pursue a career as a Data Scientist, Data Analyst, Senior Information Analyst, Information Officer, Data Officer, Software Tester and Business Analyst. Speaking of the private sector, there is a huge demand for data science professionals in IT, banking, insurance, finance, telecom, e-commerce, retail and outsourcing companies.
Apart from this, there are good prospects for the youth in construction, oil, gas, mining, transportation, consulting and manufacturing companies. You can also join the research wing of universities, if you wish.
The demand for data professionals is also high in countries like US and Europe. Many big companies like Google, Amazon, Microsoft, LinkedIn and Twitter also require data scientists. Business Intelligence Analyst:
A business intelligence analyst analyses data to understand the market and business trends, as well as the data obtained to show where the company stands during the latest changes in the market, i.e., according to the latest changes.
The company is capable of doing a good job or it needs to change its
Data Scientist: A data scientist is a professional who collects data through data and analyses it very closely. They have the ability to visualise any type of data better.
Database Administrators: These professionals work to solve problems that arise during the process of securing and using data.
This ensures that the database is made available to all concerned consumers and that database works properly. They have knowledge of backup and recovery, data modeling and design, distributed computing, database systems, data security and ERP and business.
According to a recent report, India contributed 7.2 per cent to global employment in the data science sector in January. By the end of August 2020, the contribution had risen to 9.8 per cent. Since then, the corona has had an impact on the sector, with a decline in the number of posts.
The decline fell from 1,09,000 posts in February to 82,500 in May, but picked up again in August, bringing the total to 93,500. Based on these figures, it can be said that there is a constant demand for skilled professionals in the field of data science.
Data Mining Engineer
The data mining engineer examines not only the performance of his company but also the statistics of other parties. In addition to analysing the data obtained, the data mining engineer is able to estimate the data to be received.
Young people entering the field of data science should have a bachelor’s and master’s degree in mathematics, computer science, electrical engineering, applied science, mechanical engineering. It is also important to understand programming languages like Python, Java, R, SAS. If we talk about skills, it is very important for youngsters entering this field to have a good understanding of analysis, machine learning, statistics etc. In addition, it is important to know how to solve technical problems.