About Data Scientist
Nowadays, Data Science has become a catchword in the world of technology. The continuous evolution of technology and the gathering of large data have led to an upsurging demand for Data Scientists.
Data Science is a multi-disciplinary tool that is used to extract structured and unstructured data using scientific techniques, algorithms, and systems. From multinational companies to small startups, every organization requires a Data Scientist for proper usage of large amounts of data it generates and stores.
However, many people are unaware of Data scientists as a career option and even find it a bit puzzled. The article below discusses as follows:
What exactly does a Data Scientist do?
Who can become a Data Scientist?
Scope of Data Scientists in India
Qualifications required to become a Data Scientist
So without any further delay, let’s get into the topic and learn what Data Science or Data Scientist is all about.
What exactly does a Data Scientist do?
Data Science has been the most sought-after job of the 21st century. The scope of Data scientists is getting popular in recent times. Here arises a question, what does a Data Scientist do?
We have all noticed the shopping sites or online series websites often recommend products according to one’s past choices.
That is what data scientists do. With help of consumer behavior and an algorithm, they build customized recommendation charts. The function of a Data Scientist is getting more prominent for a traditional organization because huge data is continuously transforming business strategies and marketing skills.
Data Scientists are the game-changer of the Software industries, who can simplify big data through coding and algorithms and turn it into a problem-solving solution for an organization. The Data Scientist has a great base in mathematics, computer science, modeling, statistics, and analytics blended with business sense.
Who can become a Data Scientist?
There is a wide scope of Data Science in India. Anyone can have a great Data Science future if one has the quality to understand big data and can analyze it to make an organization successful.
The three main components involved in Data Science are Organizing, Packaging, and Delivering data.
Here are few fundamental requirements for becoming a Data Scientist:
Aspirants should have an undergraduate degree in computer science or an elated stream.
Candidates must know how to run programs and software such as SQL, Python, Hadoop, and more.
Aspirants need to have a capacity for critical thinking and a great understanding of mathematics and algorithms.
Candidates choosing a Data Scientist career should possess leadership qualities so that in the coming days they can lead the organization on the way to success.
Skills required to become a data scientist:
Cloud Computing:
The practice of data science comprises cloud computing. Data Scientists require the products and services of computing to process data.
The Wrangling of Data:
The Wrangling of data helps data scientists to concentrate more on the analytical process than the cleansing process.
Calculus and Multivariable linear algebra:
A Data Scientist must have a deep knowledge of multivariable calculus and mathematical topics like vector and scalar, cost function, tensor and matrix functions, finding values of a function, etc.
Basic knowledge of Microsoft Excel:
Microsoft Excel is one of the base requirements for any job related to the back and the front office. Microsoft Excel can balance someone’s data science career without much effort.
DevOps:
DevOps nearly works with the developers for managing the cycle of applications and provides highly accessible Apache Airflow, Apache Hadoop for handling the collection and transformation of data.
Scope of a Data Scientist in India
The scope of Data scientists is increasing day by day. Here is a glimpse of the future career scope of Data Scientists in India.
E-Commerce:
The E-commerce industry is one of the booming sectors just because of Data scientists, who analyze the data and create a customized representation chart for providing results to end-users and to improve business strategies.
Healthcare Sector:
There is a huge demand for data scientists in the healthcare sector because they create huge data daily. Gathering and storing massive amounts of data is not possible by any ordinary candidate.
Hospitals need to maintain a record of patients like medical history, bills, staff, personal history, and many other details. Hence, data scientists are recruited in the medical sector to enhance the quality and assurance of the data.
Transport Sector:
As we all know the transport sector requires a data scientist to analyze the huge data collected through the passenger counting system, location system, asset management, fare collecting, and ticketing.
Salary packages of data scientists depend on their qualifications, job roles, and years of experience. The starting salary package of the fresher ranges between INR 6 Lacs to INR 8 Lacs per annum.
Qualification required to become a Data Scientist
To be eligible to become a data scientist, an aspirant should fulfill certain educational qualification which is as follows:
Candidates must have completed 10+2 or any equivalent exam with at least 45% marks in aggregate.
Candidates should have a Bachelor’s, Masters, or Doctorate in either mathematics, computer science, statistics, business studies, or finance.
Most of the institutes are offering B.Sc/M.Sc courses in Data Science, which is the most relevant for becoming a Data Scientist.
Aspirants have an advantage over the others as they possess an understanding of data science like additional skills in programming languages such as Python, SAS, R, and many more.
It’s well and good if the aspirant knows visualization tools like Tableau, Power Bl, etc.
Statistics, Mathematics, Microsoft Excel proficiency, etc can be advantageous for those who are aspiring to become data, scientists.
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