Introduction
Reading this, freshly generated terabytes would have been harvested in this second and stored in huge database management systems. With the new data collection devices and instruments, it became increasingly essential for institutions to use data and bring innovation, productivity and better decision making. After all, data is useless until processed and explored.
To deal with this flood of structured and unstructured data, companies are constantly looking for big data experts to use this data. But the shortage of these resources is overwhelming and frustrating for these companies..
To address this gap, SP Jain School of Global Management has proudly announced its Big Data and Analytics Program. As always, we started receiving inquiries about the program from our readers. Therefore, we decided to meet with your Program Director, The doctor. Mahendra Mehta. Here is a short summary of our discussion with him:
OF: How did the program? Do you already see a lot of demand from your employers in this area?
Dr. Mahendra Mehta
It is not necessary to reaffirm that Big Data is prepared to register high growth figures in terms of employment possibilities in the next 10 a 15 years. We have observed that companies are struggling to meet the demand for the data science professionals in their ranks.. Almost every major US university. UU. They have started a master's program in big data and analytics. But, What about an Indian student or professional who wants to gain the relevant skill set for a career in big data?
Several universities and institutes in India are offering a program in big data, despite this, we realized that there is no program that is intensive and focuses on covering the fundamental principles, as well as the essential skill sets required to be employed as a data science professional. .
We conceive the Big Data and Analytics Program at SP Jain School of Global Management as an intensive program that incorporates the concepts, Essential Big Data knowledge and skills that are highly sought after by companies today. We don't want to just create tool experts who are adept at mechanical use without knowing the fundamental principles inside the box.. We also don't want them to be theoretical teachers without practical skill sets.. Therefore, we have put the same emphasis on theoretical concepts, practical tools and practical case studies.
OF: Who is the target audience for this program?
I would say that anyone and everyone who wants to make a career in the field of big data and analytics can participate.. This field is expanding so rapidly that there will be vacancies at all levels of experienced candidates within a few years. This program is best suited for candidates who possess these three qualities.:
First: Experience in a quantitative field such as mathematics, the economy, statistics, engineering, physics or chemistry. Although a university level is preferable, including students who have studied mathematics up to the level 10 + 2 and who still remember their concepts are suitable for the course.
Second: Exposure to early programming. It does not have to be a professional exhibition. Even if the student has done some programming at the school or university level, is ready for the course. And even if they haven't done any programming at school or college, a beginner's course on programming in languages like C ++, Java or Python, offered on any of the online learning platforms like coursera, edx or codecademy will lay the proper programming foundations. for them.
Third: A great desire to learn big data and analytics. Our course aims to make students easily employable in the field of big data and analytics. We intend to equip them with a diverse skill set. Learning them will require a serious commitment and an investment of time and effort on the part of the students.. Our course is not for occasional students. We do not provide an overview or just theoretical knowledge. We are offering an extremely intensive course with extensive coverage.
OF: What is the structure of the program: total class time, candidate's expectations and areas covered as part of the course?
The program is offered in two formats: a full-time program that lasts six months and a part-time program that lasts for one year. The total number of contact hours for each format is the same: 400 hours. We design the full-time format for those who have not yet embarked on their professional life, such as students who have finished or are in the last year of their bachelor's degree, master's or doctorate. Active professionals who want to take a break from their career to re-equip themselves with new skills are also welcome to join the full-time program.. Full-time program classes will be held Monday through Friday, In other words, Monday to Friday. For industry professionals who can't afford to take a break, we have designed the halftime format. Classes in the part-time program will be held on weekends. There is no distinction between the two formats, except the number of contact hours per week and, therefore, the duration of the program. Neither program is superior or inferior to the other, they are just variations tailored to the different needs of students. The 90% of the modules will have the same instructors in both the part-time and full-time modes.
The program seeks to equip students with all the essential tools to turn them into data science professionals.. Therefore, the curriculum is broad and the coverage is deep. Modules can be broadly divided into 5 categories:
The essential: Stats, Python, R, Relational DB and SQL, Excel, Painting, Ubuntu
Tools and technologies: Hadoop, data storage, NoSQL, Cloud Computing
Analytics: Machine learning, data visualization,
Specialization: Natural language processing, Recommender system
General topics: Business metrics, Data science in startups, Design Patterns in Statistical Computing, Troubleshooting basics, Stream processing, Board, Data security, Business applications in data science, Future of data science
At the same time of these technical modules, students will also complete the professional preparation program, also carried out by our MBA students. Career preparation program trains students in essential interviewing and personal skills and imparts leadership, decision-making and other real-world business skills.
OF: What is the teaching methodology adopted for this Program – Online / Offline / Hybrid?
We believe that the best learning takes place in the classroom. For this, all modules will be covered in their entirety in classrooms and laboratories with real face-to-face contact with teachers. Teachers will also be available outside of class time for students for the duration of the module., and can be connected by email and phone after completion of the module. Each conference room is equipped with state-of-the-art recording equipment. Each lecture will be recorded and uploaded online for later reference by students.
OF: How much of the show is devoted to interaction with the industry and live project? One more time, Are these professionals all over the world or only in India?
About the 20% of the program is practical and projects. In these modules, big data professionals will guide students on how to work on real world problems incorporating live data.
OF: Is there a final project / industrial project at the end of the course? If so, How long are people expected to spend?
Yes, we have a live project component of about the 10% at the end of the program. That means they will spend approximately 40 hours to an industry project at the end of the curriculum.
OF: Tell us about the Faculty Profile. Considering the fact that this program is supported by SP Jain Global, Can we see faculties coming from abroad to start classes?
The faculty is a mix of renowned analytical industry professionals and academics. We have also invited members of the faculty from foreign universities to teach some of the modules. Some of our key faculty members are:
Dr. Mahendra Mehta
The doctor. Mahendra Mehta is the program director and previously was the Head of Analysis at Citibank, India. The doctor. Mehta has been a visiting professor with SP Jain for over 10 years. The doctor. Mehta has published several posts about machine learning, neural networks and was a radar scientist with HUL during 15 years. The doctor. Mehta has a PhD in electrical engineering from IIT Bombay.
Professor Sunil Lakdawala
Dr. Sunil D. Lakdawala, un Ph.D. from Yale University, EE. UU. and postgraduate from IIT-Mumbai, is visiting professor at the SP Jain Global Institute of Management. Has more than 20 years of IT experience with various IT consulting companies, incluidas CMC Ltd. y Tech Span India Ltd. He has specialized in the area of Business Intelligence System (Data Warehousing and Data Analysis Techniques such as OLAP, Data Mining) and has rich experience in consulting, project execution and training in this area.
Sr. Tobias Setz
Mr. Setz holds a Master's and Bachelor of Science from ETH Zurich and is currently a Research Assistant at ETH Zurich, Institute of Theoretical Physics. It is one of the key members of the Rmetrics Association and maintainer of its extensive libraries of open source software.. Mr. Setz has conducted several R workshops / Rmetrics in Europe including "Financial Engineering and Computational Finance", Basic R, Advanced R Programming and Advanced Visualization and Statistics Webinars (Zurich y Mumbai)
Dr. Satish Patil
The doctor. Satish Patil has a Ph.D. from the University of Minnesota, EE. UU., And it has more than 8 years of experience in the field of pharmaceutical and healthcare. He is an inventor of 4 US patents. UU. During the last 4 years, has helped several companies and startups with Big Data solutions & Analytics using Big Data technologies, advanced machine learning algorithms and statistical models. Its core competence lies in Big Data, applied mathematics and statistical analysis, machine learning, artificial intelligence and data visualization.
OF: Is there a laboratory environment / virtual lab that SPJain has created to support this course? If that is not the case, How is the student expected to learn in a Big Data environment?
Yes, The course will take place in the dedicated labs and simulation centers on the new Lower Parel campus of the SP Jain School of Global Management. The labs will allow students to work in a Windows and Linux environment and are equipped with high-end systems with all essential data science tools and technologies such as Python, SQL y Hadoop, etc.
OF: What about the locations? Would placement support be available for this program? Can we expect international placements as part of this program?
SP Jain Extends Placement Support to All Candidates Who Enroll in BDAP Program. We also offer a professional preparation program that equips you with the right skills to negotiate your way through the selection procedure.. As I said, before the curriculum has received an enthusiastic response from several companies working in big data and analytics. These include new companies, Established companies planning to start their own Big Data business, as well as specialized consulting and outsourcing companies in analysis.
Note: Registrations for the current batch are closed. You can order the February batch of 2016. Apply here
Final notes
We would like to thank Dr.. Mahendra Mehta and her team for taking time for this interview. SPJain School of Global Management has possibly upped the ante by presenting this unique offering. The full-time program of 6 months is an interesting format and something that is being tested for the first time in the industry. We thank the SPJain Institute of Global Management for joining the party and we expect them all the best for taking these courses forward..
If you have any query, concern or comment about this course, feel free to leave your answer in the comment section below.
