INR 8000
Premium Membership
Program Summary
2 credits
Duration 2 Months
5 Hours of projects/Assignments
9 Hours of online sessions
R programming
This Short-Term Program – designed by veterans in the Analytics industry; helps you master ‘R Programming’, which is predominantly used in Data Science. This uniquely blended Program is brought to by Praxis, a Top-ranked Analytics B-School in India.
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Modules
R Programming
R Programming
Introduction to R – I
Introduction to R – II
Common Data Structures in R
Conditional Operation and Loops
Looping in R using Apply Family Functions
Creating User Defined Functions in R
Graphics with R
Advanced Graphics with R
About Praxis
Praxis Business School, Kolkata, is a premier B-School whose courses are rated among India’s top two in Big Data and Analytics domain. It is one of the most trusted and influential management education institutions in India. Praxis Business School is motivated by the desire to generate business professionals who can partake in and add to the economic development of the country.
Mentors
Suresh Krishnaswamy (Head – CoE – Big Data and Analytics)
Suresh Krishnaswamy (popularly known as Sky) heads our Big Data & Business Analytics Center of Excellence. Sky has rich experience of over 26 years ranging from IT consulting, transition, transformation,applications development, to strategy making and business analyses with leading global IT and Consulting services companies in India and abroad.
Mr. Prasenjit Das Purkayastha (M.Sc (J.U); PGDM (Goa Institute of Management))
Has been one of the most prominent market researchers of the country in the last decade and has worked in the top three multinational MR agencies of India – The Nielsen Company, TNS and IMRB International for 13 years in different functional and leadership roles. He was Associate Director at Nielsen and Group Business Director at IMRB International.
Mr. Jaydip Sen (B.E (Jadavpur University), M.Tech(ISI, Kolkata); Pursuing PhD in Information Privacy in IoT)
Has close to 2 decades of industry and 5 years of teaching experience. Has worked as Senior Scientist at TCS Innovation Labs after stints with Akamai Technologies, ONGC and Hindustan Motors. His areas of interest include Advanced Statistical Modeling, Data Mining, Graph Theory, Discrete Math and Internet Technologies.
Dr. Prithwis Mukerjee (B.Tech (IIT Kharagpur), M.S., Ph.D. (University of Texas at Dallas) Program Director– Business Analytics)
He is listed as one of the 10 prominent analytics academicians in India by Analytics India Magazine.Has spent nearly two decades in the IT, software and management consultancy business and has worked in Tata Steel, Tata IBM, PwC, where he was a partner and in IBM where he was the head of the Kolkata Delivery Centre.
Mr. Subhasis Dasgupta (B. Tech (NIT, Surat); MBA (IBS); Research Scholar (IIM Ahmedabad))
Has worked in the industry for 4 years in Planning and Operations at HPCL prior to joining academics. He is actively involved in corporate training and has successfully completed training sessions on Data Mining processes in organizations like Abzooba, Infosys, TCG, ICICI Bank.
Mr. Charanpreet Singh (B.Tech (IIT Kanpur), MBA (University of Iowa),Co-Founder and Associate Dean - PRAXIS)
Has spent two decades in the corporate world in areas as diverse as Cryogenics, Steel, International Trade, Consulting and IT with organizations such as British Oxygen, Tata Steel, PwC and Compaq-HP. He has taught at the University of Iowa and has been a visiting faculty at IIM Lucknow, IIM Raipur, IIM Udaipur, IIM Shillong.
Mr. Gourab Nath (M.Sc ( WB State University))
He has worked as an online SAS trainer at Wireclass and provided online analytics training in U.S.A. and U.K. He worked as a Professor of Data Mining, Data Visualization and Advanced Analytics at iNurture Education Solutions Pvt. Ltd after which he has joined Praxis Business School as an Assistant Professor of Business Analytics.
Mr. Jaydeep Mukherjee (B. Tech (IIT Kharagpur), M.Tech (ISI Kolkata))
Comes with an experience of 27 years delivering Management and IT consulting services in large organizations like (PwC) and CMC Ltd. He was a partner in the Management Consultancy Business at PwC and led large software projects in India and abroad.
Testimonials
The curriculum is pretty awesome. It covers all the aspects that industry needs from beginner level to mid and advanced.
I am happy with the way it is easy to follow and uncomplicated. They explain everything with great real-life examples which makes the class more interesting.
Everything explained from scratch even a non IT background person can easily grasp the lessons. Vast experienced faculty explaining with practical examples adds value to the knowledge shared.
Course Highlights
Real-time Internship
An internship allows you to apply classroom knowledge in real life situations. We help you find relevant work experience opportunities in organizations involved in Big Data Analytics.
Placement Support
Our Placement Division helps our students meet companies that practice Big Data Analytics. Our Placement Division has positioned students in some of the top companies like Siemens, American Megatrends, Dell and HCL.
Training Methodology
This course involves several hours of Live Faculty session and recorded live session. It also has multiple guest lectures every month. Along with live classes, the course has industry catalyzers, opinion polls, observers and self-assessments.
Capstone Projects
During the course, the students pursue autonomous research on a question or problem of their choice, involve with the academic learning in the related disciplines, and – with the supervision of a faculty and industry mentor – produce a significant paper.
Industry Connect
We connect you with industry leaders who play a major role in the Data and Analytics Domain. Connecting with such people can help you in job hunting, career networking and professional progress.
Learn through Case Studies
Case studies help you to emphasize detailed contextual examination of a restricted number of events or circumstances and their relations. It helps in obtaining in-depth info about an individual, group, or occurrence.
Key Features of the Program
Effective & Appealing Content
We offer a unique combination of research-led futuristic pedagogy and globally benchmarked content. Our modules are backed by extensive research which has made our education system both appropriate and exciting for our learners.
Highly Experienced Faculty for Big Data
At 361 DM, we have a group of highly qualified faculty from IIT Kanpur and IIT Kharagpur. Our faculties have worked with PwC and IBM and have years of experience in pioneering several Big Data and Analytics projects globally.
Internship
An internship allows you to apply classroom knowledge in real life situations. We help you find relevant work experience opportunities in companies that look for Professionals skilled in Big Data Analytics.
Certificate from Praxis Business School
Praxis Business School, Kolkata, is a premier B-School whose courses are rated among India’s top two in Big Data and Analytics domain. It is one of the most trusted and influential management education institutions in India.
Placement Support
Our Placement Support Entity helps our students meet companies that work with Big Data and Analytics. Our students have been placed in some of the top companies like Siemens, American Megatrends, Dell and HCL to provide meaningful placement support..
New Age Learning Platform
The i-meta platform of 361 DM, enabled with unique augmented and virtual reality-led classes allow mobile learning i.e., you can learn anytime and anywhere. You can also learn by downloading the 361DM App in your smartphone. Our platform facilitates group discussions, learning resources, performance records, post-class assessments, e-library, and opinion polls during classes.
Dedicated Support Team
We have a dedicated team to support you throughout the course – from the application to the certification! You can reach us whenever there is any need for assistance, just at the click of a button.
Outcome of the Program
This course will help you learn and master the R language that is widely used among arithmeticians and data miners for mounting statistical software and data examination. You can become a Data Analyst Expert once you have mastered R – one of the most popular tools for data analysis.
