Data Science for Business Users


Data Science for Business Users is a 9 months program offered by Symbiosis Institute of Management Studies (SIMS), a constituent of prestigious NAAC ‘A’ graded Symbiosis International University (SIU) Pune in association with SAS, the global leader in Analytics with customers in 146 countries and installations at more than 80,000 organizations, including 91 of the top 100 Fortune Global 500. This program will be conducted on weekends. You will thereby avail the benefits of the top-ranked curriculum in addition to latest case study discussion and best pool of industry experienced faculty to build a solid foundation in all functional areas of data science while gaining global technical perspectives.

This course offers students the unique opportunity to learn from the best in the field of education and the best from the industry. Students will get a Joint Certification from SIMS and SAS. In addition to this you also get a chance to acquire three highly regarded and globally recognized SAS Certifications. Get mentored for in-depth analytical content by expert SAS faculty. Learn everything about Big Data and Advanced Analytics. Additional data provided to students for practice helps gain thorough knowledge of the subject. Sessions conducted through Amazon Web Services will be exclusively used for SIMS. SIMS students get 24/7 access to SAS Software and course materials. Learn through real-world case studies.

Digital Badges: SAS provides you with a digital version of your SAS credentials. Digital badges can be used in email signatures or digital résumés, and on social media sites such as LinkedIn, Facebook and Twitter. This digital image contains verified metadata that describes your qualifications and the process required to earn them.

  • This flexible program provides Base SAS, SAS Visual Analytics or Predictive Modeling for Managers using E-Miner courses.
  • Base SAS- Master the basics of SAS by learning how to analyze Big Data, enhance and summarize reports, and iteratively process data.
  • SAS Visual Analytics- Data visualization is a critical skill for students seeking a career in analytics. Learn the techniques of Data Management, environment administration and work on the SAS Visual Analytics Explorer
  • Predictive Modeling for Managers using E-Miner- Learn comprehensive predictive modeling of Big Data using SAS Enterprise Miner with Neural Networks and other Modeling tools

Data Science For Business Users


Program Offered


Duration:

9 months


Schedule:

Classes will be conducted on alternate weekends.


INTAKE

30 seats


Fees:

Rs 2,10,000 + Taxes


ASSESSMENT

All Internal Courses will have 100% component as internal evaluation at the Institute level. All External Courses will have 60% continuous assessment and 40% component as Term end examination. Courses of SAS will have assessment done by SAS followed by Global certification exam. SAS Global Badging to be given to all students for training and certification.

Standard of Passing:

The assessment of the student for each examination is done, based on relative performance. Maximum Grade Point (GP) is 10.000 corresponding to “O” as Outstanding. For all courses, a student is required to pass both internal and external examination separately with a minimum Grade Point of 4.000 corresponding to Grade D. Students securing less than 40% absolute marks in each head of passing will be declared FAIL. The University awards a certificate to the student who has achieved a minimum CGPA of 4.000 out of maximum of 10.000 for the program.


Award of Degree:

Certificate-citizen data scientist and analyst powered by SAS will be jointly awarded by SIMS and SAS at the end of 2nd module examination by taking into consideration the performance of all 2 modules’ examinations after obtaining minimum 4.00 CGPA out of 10.00 CGPA.


Pedagogy:

The pedagogy will be a mix of lectures, assignments, presentations, case discussions, project work, term end exams, management games etc.

Module I

Course Code Catalogue Course Code Course Title Credits Continuous Assessment End-term Marks Total Marks
101 T2216 Business Statistics 2 60 40 100
102   SAS Visual Analytics 1 Audit Course
103   Base SAS 1 Audit Course
    Total  4 60 40 100

Module II

Course Code Catalogue Course Code Course Title Credits Continuous Assessment End-term Marks Total Marks
201 T2701 Dissertation 2 100 - 100
202 T3111 Data Mining and algorithms 3 90 60 150
203 T3018 R Programming 3 90 60 150
204   Predictive modelling for managers using e-miner 1 Audit Course
    Total 9 280 120 400

Summary

Module Internal Credits External Credits Total Credits Total Marks
Module I 4 0 4 100
Module II 9 0 9 400
Total 13 0 13 500

Eligibility Criteria:

An executive/professional seeking admission for the programme must possess Bachelor’s Degree of any Statutory University or any other recognized Foreign University with 50% marks and Three Years of Work Experience after graduation

Admission Procedure:


How to Apply:

Candidates seeking admission, please follow the guidelines:

  • Fill up the downloaded application form.
  • Attach the documents - Degree Marks Sheets, Degree Certificate, Three years work Experience Certificate(s).
  • Please download the application form, take the printout of application form, fill it up with pen, scan and send it to sas@sims.edu along with Degree certificate, Degree marksheets, and Three years work experience proof (experience is counted till 30th June 2018).
  • Pay Rs 1,000/- (Rs. One Thousand only) as Registration Fees after receiving an online account details mail from sas@sims.edu which will be sent after receiving your application form as mentioned above.

Fee Structure:

INR 2,10,000 + Taxes.

The amount is to be paid at the time of admission

Timeline: Last date to apply: 31 July, 2018

Course commencement: 4th august, 2018

Contact Details:
Dr. Arti Chandani,
Associate Professor, SIMS.
020-3021-3215, 9371533791
sas@sims.edu

Course Content:SIMS-SAS executive program of Data Science for Business Users

Base SAS-
  • Foundation SAS
  • Excel Worksheets
  • Enhancing and Summarizing Reports
  • Introductory Graphics using SAS/GRAPH
  • Iterative Data Processing

    SAS Visual Analytics-
  • Administering the Environment and Managing Data
  • Using the SAS Visual Analytics Explorer
  • Case Study: Creating Analyses and Reports with SAS Visual Analytics
  • Pre-requisite to Predictive Modeling-
  • Getting Started in Enterprise Guide 4.3
  • Introductory Statistics
  • Analysis of Variance (ANOVA)
  • Regression

    Predictive Modeling for Managers using E-Miner-
  • Introduction to SAS Enterprise Miner
  • Accessing and Assaying Prepared Data
  • Predictive Modeling with Decision Trees and Regressions
  • Predictive Modeling with Neural Networks and Other Modeling Tools
  • Model Assessment and Implementation
  • Case Studies

    Additional Content-
  • Fundamentals and theory of Statistics
  • Fundamentals of Data Mining
  • Analytics using R
  • Case Study
  • Industry Speaker Session
  • Business Statistics
  • Dissertation
  • Data Mining and algorithms
  • R Programming

Akshay Dixit

Presently working as an Analytics Training Consultant with SAS India. He has 5+ years of training experience in SAS with all the leading clients in India and Abroad.

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Dr. Soumitra Das

Presently working as a Senior Consultant with SAS India. Dr. Das has over 8 years of Training and Mentoring experience in various capacitites in India and the US

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