Today when Data Science and Artificial intelligence is one of the most used mediums in and around our lives, choosing Data Scientist as a career option after the 12th would be an outbreak for many.
Today, in this article, we will check out all and every possible detail steps to become a data scientist after completing 12th? The discussion below will explain Data Science and Data scientists, the impact of its study, where can Data Scientists work? How much salary do they get, and a lot more.
Towards the end of this article, you will get a piece of detailed information that will help you prepare your best for the Data scientist career choice and check all the required eligibility for the same.
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What is Data Science & Who is Data Scientist?
About Data Science:
Data science is an associative incorporation of Artificial intelligence, technology, algorithm development, data interference, and machine learning. The incorporation of various such aspects is used to resolve analytically complex problems in the corporate and business world. It is likely a trans-disciplinary practice that implies upon the large scale of data information, which takes account in bigger and larger scope more profoundly.
In other simpler words, Data science is the source that companies and organizations use to understand their customers more constructively. It would primarily or lately help them in attaining long-term success in their field.
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About Data scientists:
Data scientists are the analytic data experts who uncover findings from a large scale of data. They perform two jobs primarily:
- Use data for input.
- Followed by processing that Data for generating algorithmically driven results.
Data scientists are the leaders of today’s time, especially in the industrial, Information technology, health, banking and other technological fields. They are basically a blend of two main talents: better programmers than statisticians and better statisticians than programmers.
As a profession, they utilize different concepts from information science, business intelligence, mathematics, computer science, statistics, and artificial intelligence and use some specific parameters for getting analytically generated results.
A data scientist’s knowledge field must have two essential things: an experience of technicality and interest in science. Additionally, they must be a jack of almost all crucial trades that are used in the business and corporate world.
Data science is one of the most serious and thoughtful aspects of the business world, thus it increases the value and demand of Data scientists in the line.
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Impact of Data Science in Business (and Society)
Today, the strategic gain from both Businesses and Society is highly dependent on Data Science and Data scientists. By now, we know how Data science is used to collect, uncover, study, and organize its best for the development of any business. And with this, when any business’s growth affects the economic environment, it in result majorly impact Society and its people.
Data scientists are trained and experienced with an eye that turns cutting-edge technology into valuable information without which the entire data in the collection is just a waste.
Meanwhile, Data science, because of its action, has positive social impacts on Society. Even though the work pattern or platform is different, every organization is meant to contribute some good to Society in one way or another.
Data science is an evolving sector with immense potential to think about social benefits and make Society a better and more advanced place for its inhabitants. The role of Data scientists in Society might get unnoticed at times.
However, even if it is a vast activists’ effort or technological process, Data science has impacted when you look deeply into it. It is continuing to do the same for the betterment of both business and Society.
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Is Data Science a Good Career?
Definitely, in the 21st century, Data science has become a pretty much worthy career choice for the youths in India. With the phase of Start-ups, entrepreneurs, and data-driven businesses, Data science is making its way amongst the most prominent career choices.
Today, almost 70% of the corporate and business world is considering Data scientists’ job positions at their respective organizations.
The last few years have been crucial in bringing up Data science as a career option amongst various competitions. It has increased 28% of data scientists’ requirements worldwide.
With more than 3 million job openings available globally, Data science as a career option will grow profoundly in 2021 and afterward. It is predicted that by 2026 there will be around 11.5 million jobs available globally for Data scientists.
Moreover, as Data science is a field that, apart from education, requires a set of skills, it makes it less competitive than the IT and management sector today. In simpler words, it can be described as the career choice of the current and next decade; thus, there are a lot of opportunities it offers.
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Data Scientist Salary and Job Role
The average salary of Data scientists in India is about ₹712,778/ annum.
- A fresher candidate who has just passed out the course is likely to get offered a job worth of ₹5000/ annum in well-named Indian and foreign companies.
- A mid-level candidate with 4 to 6 years of experience is likely to get offered a job worth ₹1,000,00 to ₹12, 000,0 in well-versed organizations.
- However, as candidates inherit skills and experience in Data Science, earrings and annual packages rise drastically. They would reach ₹17,000,0 to ₹22,000,0 or even above depending upon the organizations’ worth and candidates’ talent.
Data scientists: Job Role and responsibilities
While you work as a Data scientist in an organization, there is a specific role of your position and some responsibilities that you have to follow as a skilled individual. Those roles and responsibilities can be defined well by the explanation given below:
- The Job Role of a Data scientist begins by analyzing where Data science can be applied. The vision here is clear, “Benefit of the organization.”
- Once the analysis is done, their next role is to find out the data resource and extract it using various resources. Once done, the Data is then cleaned and explored more for an acceptable copy rather than implying the study of all the raw extraction.
- The next step is planning and recognizing that which statistical algorithms can be used to plan a desirable model that will extract you the maximum outcome.
- Once the planning and recognizing are done, the next step is model building. Data science is not about building one model but various to gain maximum benefit from the outcome. Using different algorithms for attaining accuracy and refining and rebuilding it to take it to another level. Followed by comparing all those models and then finding out which one is ideal to be finalized.
- The next responsibility is to coordinate with various functional teams within the organization to help implement the model and analyse the outcomes.
- Lastly, the role requires developing processes and techniques that will monitor the performance and ensure accuracy of data.
Job Roles for Data Scientists
- Project Sponsor
- Business Intelligence analytical professional
- Data scientist
- Marketing Analytics Professionals
- Business user
- Project Manager
- Database Administrator
- HR Analytics Professionals
- Business Intelligence Professional
Eligibility to Become Data Scientist After 12th
Once you have passed your 12th class Board examinations, the doors of becoming a Data scientist are open for you. However, like various other professional and degree courses, while you apply for a Data scientists’ course, there are few of the eligibilities which you have to fulfill. They are as follow:
- 10 + 2 (Science background compulsory)
- 12th passed out from a recognized board
- Minimum Aggregate required: 45% for BSc. Level courses and 50% for BTech. and other professional courses. Though some of the top-level universities like IITs or NITs would require 60% as minimum Aggregate.
- The admission process is based on various factors, including 12th merit, Scorecard of JEE mains entrance exams, Institutional level entrance exams, State-level entrance exams. In most of the scenarios, the colleges shortlist candidates only on the basis of merit of 12th or other entrance exams.
Apart from these eligibilities, some of the additional ones include:
Proficiency in spoken and written English.
As most institutions and almost every corporate job environment in India uses the English language as a medium of communication and work. A moderate level of understanding, writing, and speaking English is necessary.
Data Science Courses List
The following list will overview you with the variety of Data science courses that students who have passed 12th can pursue in India. Have a look:
B.Sc in Programming & Data Science (Undergraduate program)
- Duration- 3 years
- Eligibility- 12th passed from Science stream and a recognized board
- Minimum Aggregate- 45%
Bachelor of Data Science (Undergraduate program)
- Duration- 3 years
- Eligibility- 12th passed from Science stream and a recognized board
- Minimum Aggregate- 45%
Bachelor of Technology in Computer Science (Undergraduate program)
- Duration- 4 years
- Eligibility- 12th passed from Science stream and a recognized board
- Minimum Aggregate- 50%
Bachelor of AI & Data Science (Undergraduate program)
- Duration- 4 years
- Eligibility- 12th passed from Science stream and a recognized board
- Minimum Aggregate- 45%
B.Tech in Artificial Intelligence (Undergraduate program)
- Duration- 4 years
- Eligibility- 12th passed from Science stream and a recognized board
- Minimum Aggregate- 50%. Or even 60% for top universities like IITs and NITs.
Post-Graduate Diploma in Business Analytics
- Duration- 24 months (18 + 6 months classroom and internship plan)
- Eligibility- Graduation (Science or computer)
Post-Graduate Diploma in Data Science
- Duration- 11 months
- Eligibility- Graduation (Science or computer)
Post-Graduate Program in Data Science
- Duration- 9 months
- Eligibility- Graduation (Science or computer)
Post-Graduate Program in Data Science and engineering
- Duration- 5 months
- Eligibility- Graduation (Science or computer)
M.Tech Data Science & Artificial Intelligence
- Duration- 2 years
- Eligibility- Graduation (Science or computer)
PGDM (Big Data Analytics)
- Duration- 2 years full time, Classroom + Data lab
- Eligibility- Graduation (Science or computer)
Leadership Through Analytics and Decision Sciences
- Duration- 11 months
- Eligibility- Graduation
MBA (Data Sciences & Data Analytics)
- Duration- 2 years
- Eligibility- Graduation
Data Science & Engineering Graduate Certification Program (Big Data & Visual Analytics)
- Duration- 2 years
- Eligibility- Graduation
How to Become a Data Scientist?
A career in Data science does not require only a degree but a lot more to it. Like:
If you plan to opt for Data science as a career option, figure out if your school educational background is really suitable.
Step 1: Firstly, have an educational background in science, mathematics, IT, or the statical side. Though various post-graduate programs (related to Data science) are eligible for students form other streams as well.
Step 2: Make yourself proficient in computer programming languages like Java, Python, SQL, PHP, and more. Candidates who are less interested in the technical field can brush their skills in Mathematics, statistics, Machine Learning, Regression Analysis, and Clustering.
Step 3: Complete your undergraduate degree. Even though you have an abundance of skills, at times for getting a job requires a relevant degree from some reputed college. It is advisable to study any undergraduate Data Science program or minor in any of the skills mentioned above. Having a degree or minoring or majoring in a skill makes you stand out amongst the herd.
Step 4: Gain a well-versed Knowledge of Databases. Expand your knowledge in Visualization, Reporting, and Data munching.
Step 5: Undergo a Master’s program or Ph.D. in the Data Science field. Alternatively, you can also apply for a job after you have completed your graduate program. Getting a job directly after graduation will help you gain on-job experience and learn real-time skills. At the same time, a Master’s program or Ph.D. will open higher opportunities on your way.
Pros and Cons of Data Scientist
PROS
- Abundance of opportunities
- High in demand
- Well paid job
- Excellent job prospects
- Versatility. Data scientists can work in different sectors, including banking, healthcare, IT, and more.
- Smarter production
CONS
- Complexity
- Less data privacy for the organization
- Fast-changing approach and landscape
- Indeterminate job role
Summary
Data science is the demand of this ever-evolving digital time and ideal for those who can deal with a large amount of data and can thoughtfully analyse to produce valuable data. Even though it is a big organization or a small start-up, Data science and analytics play an essential role in increasing the business and evolving it better every day.
Data scientists’ jobs are the current favorites and also are likely to rule the upcoming years or decade if said less. Therefore, if you are looking for some unique and well-scoped career opportunity, learning Data science and becoming a Data scientist is one for you.
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