Data Scientist
Who is a Data Scientist?
A data scientist is a person who writes algorithms for data analysis using a combination of concepts from maths, statistics, computer sciences, and business intelligence. Organizations use the findings of the research to make better business decisions. A data scientist must be able to code to develop scripts that will process the data. A data scientist is an analytical data expert with good technical skills to solve complex business problems along with an analytical mindset to explore what is next to solve.
Job Responsibilities of a Data Scientist
- A Data Scientist collects large amounts of data using analytical, statistical, and programmable skills.
- A Data Scientist interprets the raw data and extracts valuable meaning from it.
- A data scientist fetches information from various sources and analyzes it to understand how an organization performs.
- Data scientists combine practical skills like coding and math with the ability for statistical analysis to achieve results.
- Data scientists analyze large amounts of information to find patterns and solutions.
- Data scientists propose solutions and strategies to tackle business challenges.
Career Scope of a Data Scientist
In the Private Sector: Many career options exist once a candidate graduates in Data Science. Some of the followings are given:
- Healthcare sector: Hospitals must record patients’ medical history, bills, personal staff history, and other information. Data scientists are getting hired in the medical industry to enhance the quality and safety of the data.
- Transport Sector: The transport sector requires a data scientist to analyze the data collected through passenger counting systems, asset management, location system, fare collecting, and ticketing.
- E-commerce: The e-commerce industry is booming because data scientists analyze the data and create customized recommendation lists for significant results for end-users.
A Data Scientist can also apply for professions such as analytical delivery model analyst, senior data analyst, and lead data scientist in IT companies.
In Government Sector:
Many sectors require Data scientists, such as agriculture, climate, consumer affairs, defense, economics, environment, education, and housing and urban development.
As a Self-Employment:
- A Data Scientist can become a freelance data scientist. A freelancer data scientist is running a small business. A freelancer data scientist has a candidate boss, own salesperson, project manager, marketer, accountant, admin, etc.
- A freelancer data scientist is not restricted to the 9-5 schedule and can do work during the day and throughout the year.
Salary/Income of a Data Scientist
An entry-level data scientist with less than a year of experience can expect to earn approximately Rs. 5,00000 annually. Data scientists with 1 to 4 years of experience can make roughly Rs. 6,00000 per year.
Steps to become Data Scientist
Path 1
10th
12th (PCM Compulsory)
Qualify the College/University Specific Entrance Examinations for Bachelor of Technology (B.Tech) in Computer Science Engineering or many more programs
Enroll for Bachelor of Technology in Computer Science Engineering or many more programs
Go for the Internship (Data Scientist)
Data Scientist
10th
12th (PCM Compulsory)
- Admission into the ‘Bachelor of Technology in Computer Science course is based on the candidates’ performance in the college/university-specific examination (if specified).However, it may vary from college to college; check the particular college rules and regulations before applying.
Official Website for registration to JEE Exam: https://jeemain.nta.nic.in/
- A candidate should hold a graduation degree Bachelor of Technology in Computer Science / Bachelor of Technology in IT/ B.Sc. in Computer Science/ BCA / or enroll in a Diploma in Computer Science.
- After graduating and acquiring knowledge of Languages like C, C++, Java, etc., an android Application Developer can work on projects to enhance candidate skills. Candidates can also build small candidate applications to increase their knowledge base before joining some big App Development enterprises.
- During the course, grab as many opportunities for internships or project works as a candidate can. These help the candidate gain insights into the kinds of tasks that can expect to perform in the future.
- The internship duration would be four weeks, eight weeks, or ten weeks, depending on the choice of the candidate.
Who is a Data Scientist?
A data scientist is a person who writes algorithms for data analysis using a combination of concepts from maths, statistics, computer sciences, and business intelligence. Organizations use the findings of the research to make better business decisions. A data scientist must be able to code to develop scripts that will process the data. A data scientist is an analytical data expert with good technical skills to solve complex business problems along with an analytical mindset to explore what is next to solve.
Job Responsibilities of a Data Scientist
- A Data Scientist collects large amounts of data using analytical, statistical, and programmable skills.
- A Data Scientist interprets the raw data and extracts valuable meaning from it.
- A data scientist fetches information from various sources and analyzes it to understand how an organization performs.
- Data scientists combine practical skills like coding and math with the ability for statistical analysis to achieve results.
- Data scientists analyze large amounts of information to find patterns and solutions.
- Data scientists propose solutions and strategies to tackle business challenges.
Career Scope of a Data Scientist
In the Private Sector: Many career options exist once a candidate graduates in Data Science. Some of the followings are given:
- Healthcare sector: Hospitals must record patients’ medical history, bills, personal staff history, and other information. Data scientists are getting hired in the medical industry to enhance the quality and safety of the data.
- Transport Sector: The transport sector requires a data scientist to analyze the data collected through passenger counting systems, asset management, location system, fare collecting, and ticketing.
- E-commerce: The e-commerce industry is booming because data scientists analyze the data and create customized recommendation lists for significant results for end-users.
A Data Scientist can also apply for professions such as analytical delivery model analyst, senior data analyst, and lead data scientist in IT companies.
In Government Sector:
Many sectors require Data scientists, such as agriculture, climate, consumer affairs, defense, economics, environment, education, and housing and urban development.
As a Self-Employment:
- A Data Scientist can become a freelance data scientist. A freelancer data scientist is running a small business. A freelancer data scientist has a candidate boss, own salesperson, project manager, marketer, accountant, admin, etc.
- A freelancer data scientist is not restricted to the 9-5 schedule and can do work during the day and throughout the year.
Salary/Income of a Data Scientist
An entry-level data scientist with less than a year of experience can expect to earn approximately Rs. 5,00000 annually. Data scientists with 1 to 4 years of experience can make roughly Rs. 6,00000 per year.
