Hey applicant

Firstly warm wishes for your upcoming job life, now as per the basic job role of a Data scientist you need basic experience of Data Arrangment, Data Analysis and Data Interpretation knowledge. However you don't need to panick as you will get sufficient guidance from your work professional seniors, other fellow mates who would guide you regarding your job role.

All the best!!!

Hello there,

Hope you are doing good.

Data Scientist is one of the growing field , and also one of the high paying career.

Here we basically deals with organize, and analyze data, helping people from every corner of industry and every segment of the population.

Talking about procedure to become a Data Scientist are given Below:-

for being a Data Scientist firstly you need to complete your Bachelors degree in field of IT ,computer science ,Mathematics ,business or another related field . Eligibility for Bachelors degree - 10 + 2 examination with at least 50% marks  from recognized bord   in  science stream, with subject like physics, chemistry, mathematics .

After completing Bachelors degree apply for Master's degree in data science  or related field .

Skills required for a Data Scientist :-

-> Programming Skills

-> Interpersonal skills

-> Data visualization

-> Business strategy

-> Algorithm modeling

For more Information about Data Scientist Just click on the given link:-

• https://www.careers360.com/careers/data-scientist
• https://www.careers360.com/courses/data-science-course

Hope this Information will Help.

Thank you :)

Hello aspirant,

To become a data scientist, you need get a bachelor degree, in IT or Math or computer science, or any related field. Later, you need to get masters, in that particular related field and must gain experience in that particular filed. After that you can skill yourself in the interviews. And join in a company which you wish to.

Hope this helps you,

good luck, thank you:)

Hello, I hope you are doing well

Data scientists are the analytical data experts with technical skills to solve complex problems. They work with several elements related to mathematics, statistics, computer science. They also collect, analyze and interpret large amounts of data.

If you have no prior information but you like working with the numbers and you are having familiarity with the basic concepts of Math and Statistics, you can become a Data Science professional. Here are some tips that can help you crack a data science interview and start your career in this field:

• Pursue internship with any Data Science firm
• Find courses that teach Statistics, Probability, and Linear Algebra
• Know about optimization
• Be aware of the basics of Natural Language Processing, Information Extraction, Computer Vision, Bioinformatics, Speech Processing, etc.
• Take up any online Data Science course covering the basics.

Most of the professionals at primary and intermediate levels focus on sharpening their technical skills but forget that they need to improve their management skills if they want to grow in their careers. So, you should focus on that part too.

Hope this helps

Greetings!

For becoming a data scientist,you should opt for CSE ime. Computer science engineering , IT- information technology or ECE- electronic and communication engineering. These all three courses will help you become data scientist. Some colleges like NSUT, Delhi also provide a special branch which deals with only data scientist role ,you can opt for that also. I wouldn't suggest you to opt for maths and commuting for becoming a data scientist as that branch deals with other specialistation.

For more information about data scientist, you can visit-

https://www.careers360.com/careers/data-scientist

Hope this will help you.

Dear student,

Definitely you can become a data scientist after B. Tech in mathematics and computing. All you need to know is to have basic information about data analysis and software.

The basic eligibility is 50% above percentage in class 12th with physics, mathematics, chemistry and computer science as a subject.

Hello,

Generally speaking the eligibility criteria for pursuing BSc Data Science is passed 10+2 from a recognized board with physics, chemistry, mathematics as core subjects securing 50% aggregate or above depending upon the norms of the university, admission process varies as it can be based on the merit of the qualifying examination in case of Navrachana University, NSHM Knowledge Campus or there are entrance tests conducted regarding this as by Sri Sri University/AMET University/Jain University to name a few, when it comes to fee structure it varies as government colleges charge comparatively less to that of private colleges, data science is truly one of the emerging career of 21st century, its requirement is prevalent in every sector, the work opportunities can be found in research laboratories, MNCs, research companies, tech companies etc, some of the top recruiters for data science are IBM. Wipro, Oracle, Accenture, Deloitte, HCL, Amazon, Flipkart, Cognizant, Walmart, Microsoft to name a few in the job profiles of data scientist,  business analyst, data analyst, data engineer, research analyst, analytics manager etc,

explore full details pertaining to data science by visiting our page at https://www.careers360.com/courses/data-science-course

Hello,

To begin with, it is impossible to compare the two realms in order to determine which is superior — exactly because they are two distinct fields of study. It's the equivalent of contrasting science with the arts. However, the clear popularity of data science nowadays cannot be denied. Almost every industry has turned to data to help them make better business decisions. Whether it's for performance analysis or device data-powered plans or apps, data has become a vital element of enterprises. Machine Learning, on the other hand, is still a developing field that has yet to be accepted by a few businesses, implying that ML technologies will become more in demand in the near future. As a result, specialists in both of these fields will be in high demand in the future.

Because Machine Learning and Data Science are so intertwined, a fundamental understanding of both is essential to specialise in one of the two fields. To begin with Machine Learning, however, understanding of data analysis is necessary in addition to data science. Understanding and cleaning data before using it to create ML algorithms necessitates learning computer languages such as R, Python, and Java. Tutorials on these programming languages, as well as basic data analysis and data science ideas, are included in most Machine Learning courses.

Data Scientists or Machine Learning Engineers make greater money.

Data Scientists and Machine Learning Engineers are both in high demand in today's industry. When it comes to entry-level positions, data scientists appear to make more money than Machine Learning engineers. For entry-level positions in data science, the average income is more than 6 LPA, whereas for Machine Learning engineers, it is approximately 5 LPA. Senior specialists, on the other hand, make almost the same amount in both disciplines, averaging approximately 20 LPA.

Hope this helps.

Ideally BTech AI and Data Science sounds a very interesting course, but ideally in Graduation, you should always go for a more generalized branch, like CSE. A generalized degree helps you explore different domains of respective engineering verticals be it Software, AI, Data Science, Networking, Research, Computer Vision or any other. Ofcorse you may parallely pursue Academic Projects, Internships on Data Science/ML/AI and parallely work on your Profile for a Data Scientist.

Hey!

Below mentioned are the details regarding how to become a data scientist.

Students must pass 10+2 examination with atleast 50% marks from any recognised Indian board in the science stream, which includes physics, chemistry, mathematics and computer science as obligatory subjects. To have a better comprehension of the course, they need to study economics and statistics.

Admission exams are administered by a number of Universities and Colleges. The majority of admissions are granted based on the candidate's entrance exam scores. Other college provide admission based on merit system of 10+2 passing grades. The selection criteria range from institution to institution in terms of grade and enrollment procedures.

At the very least, you'll need a bachelor's degree in data science, mathematics, statistics, or computer science to get your foot in the door as a data scientist. After receiving your bachelor's degree, you must focus on developing the abilities necessary for the profession with short undergraduate learning courses. Students will be able to enrol in the bachelor's degree course after successfully completing 10+2, B.Tech., B.Stat., and B.Sc. are some if the most popular degrees.

Students who have completed a Bachelor's degree course have a variety of options for furthering their careers. A master's degree in data science can also help you develop a broad set of abilities that you can use to a variety of tech related jobs, such as data engineering, architectural design, or computer technology. Students can pursue a master's degree in a related topic such as computer science, information engineering after completing a bachelor's degree, which can prepare you for a career in data science. Data scientists have the most Ph.D.s than any other profession.

For further information, check out the link provided below.

https://www.careers360.com/careers/data-scientist