What is Big Data Analytics
Big Data analytics has become the backbone of the large industrial and commercial firms to make crucial decisions based on the conclusion from the data analysis. Data analytics can be simply described as the acts of studying data to observe patterns and to draw a conclusion to make an important decision. Nowadays, with the advancement of the technology, the data can be analyzed using certain advanced analytical techniques that include the study of the structured, unstructured and semi-structured data. Big data is a term used to refer to the data sets that are huge and cannot be handled with the conventional analysis databases. Since data analysis helps the firms and businesses to make faster, efficient and thoughtful decisions, it has become a demanded career by the firms and businesses.
There are ample job opportunities to take up in the field of data analysis, but fewer people to fill it in. Big data analytics is a growing field with the growing number of businesses and firms, but the people to fill these positions are less. Thus, the companies are ready to give high-end salaries to the people who own the right skill set in the big data analysis field. The job of the data analysis is not just limited to drawing conclusions for the company to make better decisions, but they can also take up other jobs like machine learning, data architect and data modeller wherein they get to explore the new algorithms and the new aspects that are related to the data analysis.
Big Data Analytics Course Highlights
Popular data analysis courses
B.Sc in data science
M.Sc in Data Science and Data analytics
B.Sc in data science and analytics
M.Sc in computer software applications
B.Sc in Statistics and data analytics
BCA in Data Science
M.Sc in Statistics and data analytics
B.Tech in Big Data Analytics
M.Sc in Big Data Analytics
Completion of 10+2 with Physics, Chemistry, Mathematics from a recognized institute with at least 60 percent aggregate.
Completion of bachelor’s degree in related discipline with at least 50 percent aggregate.
Rs. 1 lakh
Rs. 13 lakhs
Rs. 20 lakhs
Rs. 5 lakhs per annum
Rs. 10 lakhs per annum
Rs. 16 lakhs per annum
Rs. 25 lakhs per annum
Big data analysis jobs
Data scientist, business analyst, data analyst, data architect, data mining engineer, research analyst.
IT Systems Analyst, Operations Analyst, Data Engineer, Big data architect, data analyst, big data developer.
Eligibility Criteria (UG & PG) of Big Data Analytics
The eligibility criteria for the courses are usually similar for different universities as the stream of perusal is the same. But in order to secure a seat for a big data analytics course at any university, the candidate needs to qualify the eligibility criteria for that university.
For undergraduate big data analytics courses
- Completion of 10+2 certificate with Physics, Chemistry, and Mathematics from a recognized institute.
- Candidates must also have a minimum aggregate of 60 percent in their 10+2 certificate in order to get admission into a big data analytics course.
- If a candidate has studied computer science in 10+2, it will be considered as an advantage in clearing the eligibility criteria.
For postgraduate big data analytics courses
- Candidates willing to apply for the postgraduate degree in big data analytics should have a bachelors’ degree in the related discipline from a recognized institute across India.
- Candidates also need to have a minimum 50 percent aggregate in their bachelors’ degree in order to pursue a postgraduate degree.
Big Data Analytics Entrance Exams
There are several institutes that offer big data analytics courses on the basis of the merit of the candidate in 10+2 certificate while some other institutes conduct common entrance tests for the admission into their institute. Apart from these, there are a few institutes that conduct their own university level entrance exams to take admission of the students in their institutions. Following are a few of those entrance exams that are conducted by the universities for the admission to their big data analytics courses.
SSU Entrance Exam: This entrance exam is conducted by the Sri Sri University in Cuttack to check for the eligibility of the candidate to give admission to their big data analytics courses.
KR Mangalam Entrance Test: It is a renowned private university that offers both undergraduate and postgraduate courses in big data analytics for which it conducts this entrance exam.
AMET Entrance Exam: This is a university-level exam that is conducted by the university to take admission of the students who are capable enough of clearing this exam into their big data analytics courses.
Jain University Entrance Test: It is a private university in Bangalore that conducts this entrance test to check for the eligibility of the students for their big data analytics courses.
The admission to the big data analytics courses varies for different universities as not all the universities conduct entrance exams for their admission process. However, the following points can uphold the big data analytics admission procedure regardless of the university conducting the entrance test or not.
- Prospective candidates who wish to continue their studies in big data analytics should have the educational qualification with good merit to qualify the cut-off list of the university.
- If there is an entrance exam for their respective courses, then they need to score well in that entrance test in order to secure a seat in their desired course.
- There are a few universities that conduct personal interview rounds to analyze the general skills of the candidate as a step of their admission procedure.
- The students need to meet the basic requirements of the scores, and they should be able to qualify for the admission in their desired college.
Scope of Big Data Analytics in India and Abroad
As discussed earlier, the field of big data analytics is certainly growing in demand because the businesses and the huge corporate firms require these analysts that can help them to make faster and effective decisions about the business situations. The new and sophisticated technology that is being used in this field shows that the act of data analyzing and processing is a very important one in businesses and firms. They are taking up the best possible softwares and machines that can support them in the processing and the studying of big data. The data analysis aid in making decisions about the pricing strategy, figuring out ways to reduce various costs and to optimize the methods followed by the business or the firm to make the system in the business cost-efficient and effective.
The data analysis studies are definitely not restricted to just analyzing the patterns to come up with effective solutions, rather there are many jobs in the computer-related skills as well like developing new software, retrieving data using machine language, and also the use of machine learning to understand the process of data analysis and data mining in a better way. The scope of data analysis is not limited to a single sector of firms or businesses; it is a skill that is required all around the world in all the functioning companies. As discussed earlier, the number of jobs in this field is huge, but there are very few people who have the skills for these jobs and hence the firms readily pay them high-end salaries as compared to the other jobs. With growing businesses and new firms, the scope of the field of big data analytics is increasing day by day all around the world.
Popular Online IT Courses and Certifications
Course Fees Big Data Analytics
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A Big Data Analytics course covers all the essential skills that the students must be acquainted with for handling complex data problems in real-life situations. Thus, the most obvious and popular subjects that students will be studying in a Big Data Analytics course are listed below: -
1. Big data modelling and management systems
2. Graph analytics for big data
3. Descriptive statistics
4. Regression and analysis of variance
5. Machine learning with big data
6. Prescriptive analysis
7. Big data integration and processing
8. Challenges for big data analytics
9. Inferential statistics
10. Regression and classification techniques
13. Retail analytics
14. Data visualization
15. Text analytics
16. Relational database management
17. Business fundamentals
18. Data structures and algorithms
19. Data collection
20. Statistical analysis
21. Marketing analysis
22. Probability and statistics
23. Supply chain and pricing analysis
24. Social network analysis
25. Customer analytics
Careers in Big Data Analytics
Big Data Analytics is one of the fastest growing domains in the tech space at present. Companies are starting to explore better and more accurate analytical techniques as compared to the traditional approaches. This development opens up significant opportunities in this highly dynamic industry. The demand for big data professionals is witnessing a steady increase and is only going to increase in the coming years. One can explore various roles that are available in Big Data Analytics to boost the career and enjoy a steady career growth over the next several years. Presently there are plenty of career pathways available for big data professionals in the private sector.
Big Data Analytics has been transforming organisations and industries significantly since the last several years. With businesses looking beyond the traditional ways of analysis, the importance of big data analytics has risen manifolds. This has led to increased investments from private corporations in big data analytics. Some of the latest trends in big data analytics are as follows: -
Data Analysis Automation
Smart Cities Development
Consumer Device Developments
Enterprise Content Management
IoT Merged with Data Analytics
Job Profiles and Top Recruiters
Big Data Analytics Job Profiles
Their job is to analyze the huge volume of data to draw meaning patterns and conclusions that could be used by the business to make decisions.
Their job is to design and structure the data in accordance with the relational database in order to develop strategies for business projects.
Their job is to maintain and update the data in the relational database so that it can be used to learn about the statistics.
Their job is to retrieve and analyze raw data and to come up with better data mining strategies using new algorithms and analysis.
Data Warehouse Manager
Their job is to store and manage the data in the data warehouses and to monitor the data used to analyze the possible data security threats.
Business Intelligence Analyst
Their job is to transform the raw data into meaningful business information that can help the firm to analyze their business and to develop better financial strategies.
Their job is to use their programming knowledge to maintain the data flow and data models.
Their job is to plan and optimize the development processes of the databases to allow a faster flow of data without any hassle.
Their job is to reduce the data by eliminating repetitive data so as to make it more efficient. They use algorithms and coding to perform their job.
Their job is to collect and store the data from different sources that are further used to draw important strategies for different business models.
Top Recruiters for Big Data Analytics Jobs
As the people in this field are usually hired to work with the data to make different and effective strategies for the better working fundamentals based on the data, they can literally take up a job with any firm and department as the data is managed and studied everywhere. The skill of data analyzing is extremely useful for the firms to make critical decisions, and hence the inhibitors of this skill get jobs fairly easy. Listed below are the most common recruiters for the Big Data Analytics jobs:
- Government departments
- Schools and universities
- Stock exchange companies
- Internet-related servicing companies
- E-commerce companies
Average Salary (approximately)
Big Data Engineer
Rs. 7.5 lakhs per annum
Rs. 18 lakhs per annum
Rs. 5 lakhs per annum
Rs. 10 lakhs per annum
Data Warehouse Manager
Rs. 6 lakhs per annum
Business Intelligence Analyst
Rs. 7.5 lakhs per annum
Rs. 11 lakhs per annum
Rs. 6 lakhs per annum
Rs. 6 lakhs per annum
Rs. 5 lakhs per annum
The salary figures mentioned anywhere in these articles are just for reference purposes. Please treat them as such. Actual salaries may vary depending on respective candidates, employer, job location and numerous other factors.
Required Skillset for Big Data Analytics
The jobs that are related to the field of big data analytics require good analytical skills along with numerical skills. The person should be able to think rationally and critically in order to make efficient and faster decisions. Apart from these, there are certain technical skills that need to be imbibed in the prospective candidates for big data analytics jobs. The following qualities would be desired in a candidate appearing for a job in the big data analytics field:
- Analytical skills
- Observational skills
- Machine learning
- Programming in any of Java, SQL, Python, Scala, MATLAB
- Rational thinking
- Critical thinking
- Decision-making skills
Course Curriculum for Big Data Analytics
When a candidate pursues their studies in a big data analytics course, they can expect to study the courses that are mainly related to analyzing data, studying different patterns, statistics and some computer software programming. The specific subjects might vary according to the level of education but the essence of the courses remains the same i.e. to equip the students with skills to excel in the real life scenarios. The course pedagogy comprises classroom lectures, practicals, case studies, workshops, seminars. Students will also be learning to use different software packages for conducting big data analysis.
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Frequently Asked Questions (FAQs)
Question: Is Big Data Analytics a good career choice in India?
Big Data analytics is omnipresent in all the departments and sectors of work at present as the data is a crucial part for all the firms and the analysis of this data allows the firms to make a crucial decision for making strategies. Thus, making a career in a field that offers plenty of work in all the sectors and with a fairly high pay scale is definitely a good choice for a career.
Question: Is it necessary to have a science stream in 10+2 to pursue data analytics in college?
Yes, the job of data analytics requires the knowledge and the academic background of the science stream for admission into the college.
Question: Is it required to learn Excel for data analysis?
As data analysis includes the management and bifurcation of data to analyze the patterns hidden in the raw data to transform into meaningful information, the knowledge of data organizing software like excel is needed in the career.
Question: What is the scope of data analytics abroad?
Data analytics, fortunately, has a lot of scope in all over the world because data management and data analysis is required in all the institutions and firms all around the world. Thus, the scope of data analytics is not restricted to a single country.
Question: What is the basic minimum pay that can be expected after graduation in the field of data analytics in India?
As a big data analytics graduate in India, a person can expect to be paid anywhere between Rs. 5-6 lakhs per annum.
Questions related to Big Data Analytics
I enquired from st.xaviers and jai hind college Mumbai about entrance exam they said that non-resident of Maharashtra has to undergo exam what are the , important topics and paper pattern to cover for the entrance exam to acquire admission in MSc Big data analytics
Dear applicant as per the genuine entrance exams syllabus pattern there are also entrance exams carried out by St. Xavier's and Jai Hind Institute, but for the non resident of Mumbai. Now based on the knowledge that you acquired in your undergraduate degree and the subject in which you wish to pursue the Masters, the entrance is taken. If you have UG degree in the same subject that is an added advantage and you can positively expect the general knowledge based questions on Data Analytics portions. You additionally require some basic knowledge of
2. Computer Science
4. Logical Reasoning and Quantitative Aptitude
Which one has better scope in future and what are the subjects included in both of them..CSE with Big Data Analytics vs CSE with AI and ML?
There is nothing like one is good and one is bad between CSE or CSE with specialization . In fact, if you want one line answer of this question then I will say that the better one CSE is that which have got your interest and attention.
Let me explain it to you. See, normal CSE deals with all the aspects which are related to computer science and engineering, whereas CSE with specialization involves mostly your specialization . For example, if choose CSE with Artificial Intelligence then the major focus will be to make you excellent in Information AI areas whereas, Normal CSE is a comprehensive course in computer applications and system. Generally it involves with designing and developing computer software/applications and hardware processes. If a student opt for this course, he/she will be able to understand, learn and use various programming languages, networking and telecommunications, digital and analog electronics, etc.
But there is a catch, with normal CSE too, you can study that specialization technology too being in normal CSE and there are lot of supplements available for you on Internet to help you, not only this many colleges nowadays are giving options for AI, ML when a student enters in 5th semester.
Placement wise too there is n ot too much difference but a very slight difference as of now. In some cases, you might be getting the benefit of taking Computer Science with specialization . For example, a company whose major work is based on AI & ML then for the obvious reason they will first give priority to the guy who has done CSE with AI & ML as a specialization. But remember that, specialization makes you confined too because there are not a large number of companies that are based on your specialization, so in this case, Normal CSE has an edge, as there are bulk of companies for them, though most of them allow to sit the specializations students, too but few of them might not allow sitting.
Now coming back to you one another question, which is what are the subjects in these CSE specializations then below I am mentioning the subjects.
CSE with Big Data Subjects:-
- Engineering mathematics
- Operating System
- IT systems
- Internet technology
- Information security
- Data structures
- Data mining
- Data warehousing
- Data analytics
- Hadoop administration
- Communication skills
- Project work
CSE with AI&ML Subjects:-
Now in this you will have almost same subjects but AI and ML will be there. There is no specific names of subjects in AI and ML, these itself are the topics.
I hope this analysis clear your doubts.
Feel free to connect in comment section if having any doubts.
I got 715 rank in Vitmee 2021. Will i get M.Tech cse or cse ai ml or cse big data analytics in vit vellore or chennai campus in category 1 ?
At first congratulations on your success in VITMEE. With the mentioned rank and going along the past trends you will certainly get computer science and engineering with specialisation in either artificial intelligence and machine learning for big Data analytics at the Chennai campus under category 2 or at maximum in category 3. The chances at Vellore campus are medicore but you can still try with higher fee category. You can get more details at https://engineering.careers360.com/articles/vitmee
Hope it helps!!
Which is the most helpful for future careers. B.tech with specialization in Data Science or Big data analytics or Cyber security or cloud computing or No specialization? Does my scope of getting job reduces if i take any specialization?
see specialization course does not debarred you from not selected for CSE related job, while you go for specialization, that means you have studied the particular topic apart your generalized syllabus. however if you want you may go for others relevant streams job as well. after completing b.tech in cse you may apply as software engineer, programmer, data analyst , web developer like positions. however big data/ data science or cyber security each of the technology has wide opportunity and chances that it would increase in future. however apart from stream you have to be very selective about college and placement record so that you do not need to struggle for job after completing the graduation.
hope you understand.
what is Bsc in IT (data science)? How its different from Bsc data science? BSc in IT (data science) vs BSc data science?
BSc Data Science is a 3 year full-time course that comes under the domains of Computer Science, Business Analytics and Artificial Intelligence.
Data Science is an interdisciplinary subject that includes the use of Statistics , Big Data Analytics , Machine Learning and related aspects in order to understand the problem or phenomena with respect to a set of real-world data.
This course is highly popular among students in India and Abroad because of its increasingly high demand and diverse future scope in tech companies, consultancies, market research companies and energy sector.
Admission to this course usually takes place on the basis of merit and performance in the university level Common Entrance Tests. The minimum eligibility required is the completion of Class 12 with Science stream (Physics, Chemistry, Mathematics).
IT is a particular subject with data science.