What is the fee for Btech in computer science engineering (artificial intelligence and data engineering) in Jain University (both total and sem fee)
Hello aspirant,
Hope you are doing good.
The fee for btech in computer science engineering in Jain University is 1,60,000/- per year.
The total course completion takes 4years for bachelor of technology. So the total fee for the btech in artificial intelligence is
6.4 lakhs.
The university has same fee for all the branches maximum.
The fee per year is 1,60,000/-
And the total fee is 6.4 lakhs in Jain University.
Hope this will be helpful
I have 7.96 CGPA in btech electrical and electronics engineering with 2 years of experience as data engineer. I gave IELTS band of 7. What is the possibility of getting admit in MSc at McGill university in electrical and computer engineering?
Hi aspirant,
It depends on the criteria that they have set to take admission for MSc at McGill university in electrical and electronic engineering.They would have set the IELTS cut off and check that in their official website.
The minimum entrance requirement for graduate admissions at McGill is: CGPA of 3.0 out of 4.0 or GPA of 3.2 out of 4.0 during the last 2 years of full-time studies.
I have 7.96 cgpa in Btech electrical engineering with 2 years of work experiance as data engineer. I have IELTS score of band 7. What is th possibility of getting masters admit in McGill University
Dear applicant, It is most likely that your application will reach the admission committee but, the decision of your admission is really up-to the team. If possible, get yourself into some diploma course, it may open some pathways to get an admission.
Hi guys i am a plus two ,can any one explain the eligibility and learning path clearly to become a big data engineer. And how many years would it take.. to achieve it...
Hello learner
At first I would like to congrats you on your determination to select your career and working towards it . To help you in your journey Here I provided the list of steps to become an data engineer
- Earn a bachelor’s degree – Earning a bachelor’s degree in computer science or programming, or a related field is a good way to familiarize yourself with the field of data engineering. Through your studies, you can even identify a specialty area that you would eventually want to work in.
- Hone those big data skills – Employers in the field are looking for candidates with unique skills and a strong command of software and programming language. Develop your skills through practice, personal projects and continuing education.
- Obtain an entry-level job, even if in IT — gain experience. You can continue to build on that experience and learn about big data trends and solutions that you weren’t aware of before.
- Get certifications to further specialize and help to make you a competitive candidate as you apply for new roles and advance in your career.
- Pursue a master’s in data engineering. A graduate degree is one way to stand out as a competitive candidate in the job market. It demonstrates that you’ve taken additional steps to further your knowledge.
Use the provided link to learn for the jee mains in advance https://learn.careers360.com/
More power to you. Have great life fulfilled with your dreams.
Comparing data engineer and data analyst and business analytics and data scientist and data administrator and data architect which of this is highly paid job
hi,
see all of the work position you have mentioned is different slightly from one another and it depends on the organizations and the work load may differ as per organization wise. so it can not be predicted which of the course would bring a good salary, as a fresher you may expect 3.5-4 lpa job in any of the discipline. but the candidates who are well versed in programming and belongs to top institute like vit vellore, nits , JU may brags 6lpa + package at the starting of career.
so work on your skill and practice every day.
Is big data engineer and data engineer are same
Dear Aspirant,
a data engineer is a person whose profession is to build and install the data systems. These systems fuel machine learning and AI analytics. They also develop information processes for a whole host of data tasks. These include data acquisition, data transformation, and data modeling, among others.
Whereas, a big data engineer, whose profession is to, create and manage a company's Big Data infrastructure and tools, and is someone that knows how to get results from vast amounts of data quickly. The actual definition of this role varies, and often mixes with the Data Scientist role.
Data scientist and data engineer have over time work
Hello candidate,
Any Professional or any employee who works more than his regular duty hours is eligible to get overtime salary for his additional part of work. scientist and data engineer have to spend a large amount of time to enter the data and balance their tally and work over nights commonly, eligible for more overtime salary on a general basis.
Have a good day.
Is Data scientist and data engineer are stress full job
Hello,
Look, it's totally depends upon your interest. If coding, Mathematics or Statistics are areas of your interest then Data Scientist job is going to be boring or stressful for you at all. But if you have the degree but still you're not interested in coding and all then it could be a stressful job for you. As this job requires proper attention and focus.
But demand for data scientists and engineers has increased a lot and still increasing. This job will provide you a good pay scale. And your salary keeps increasing as long as you will be gaining more and more experience in this field. So little stress but good salary range is not a bad deal.
Good Luck.
Speaking skill is important for data engineer and data scientist
Hello STudent
Yes speaking is important for data engineer or data scientist. Most of the people of this field are feel nervous to talk with many people as they have to present their new model or or new thought of ideas for presentation. Most of the cases they feel nervous about the the new thoughts to implement in ideas expression. So speaking and communication skill with others in public or in private has great importance in a field of data engineers and data scientist job environment.
Hope this helps.
what is the difference between data analyst, data scientist, data engineer?
The difference between data engineers,data scientists and data analysts are mentioned below :
Data engineers develop, test and maintain data systems. These systems are important for the firms.
Data scientists job is to analyse complex data in order to build prediction algorithms.
In short we can say that, what the data engineers do is instrumental to data scientists.
Data analysts create ad-hoc and regular reports based on past and present data in order to find answers to business questions which in turn helps the companies to make better decisions in future.
The basic difference between data analyst and data scientist roles is that the scope of work of data analysts is limited to numeric data, whereas data scientists work with complex data.
To know more about Data Scientist,Data Analysts Courses,Jobs and Salary visit :
Data Scientists : Role, Education, Jobs & Salaries
Data Analysts : Role, Education, Jobs & Salaries
Data Science and Engineering : Courses, Admission, Eligibility
Hope it Helps
Thank You!!!!