Short-Term course on "Data Analytics with SAS"

Jan 29 - 31, 2018
Organized by Department of Industrial & Systems Engineering, IIT Kharagpur

Registration Latest by 19th January, 2018

 

 

 

 

 

 

 

 

  

Introduction

W. E. Deming once said, "We believe in God, all others must bring data". This is exactly the status of business today. Every organization is equipped with avalanche of data; some are structured while others are unstructured. In addition, data are generated from different sources. As data speak the truth, the major differentiator of a successful organization from an unsuccessful one is that the former has the capability in data analytics. So, today an organization's competibility lies in its competency in data analytics.

Data Analytics is all about sophisticated quantitative and qualitative analysis and predictive as well as prescriptive modeling used towards building competitive strategies based on data-driven insights that in turn generate impressive business results. Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, accelerate product innovation, optimize system performance, and the true drivers of financial performance. Data analytics aroused on a strong foundation by bringing together a diverse body of knowledge from applied statistics, applied mathematics, computer science, optimization, consumer behavior, risk management, operations research and decision theory. As the use of analytics growing rapidly, need of skilled analysts, who understand the data, sift through the information and help solving the business problems, is inevitable in future.

With the growing support of analytics software, practitioners can solve complex problems related to business transactions, manufacturing, healthcare, finance, insurance, etc. SAS covers the entire gamut of data analytics and provides platforms for data mining, statistical analysis, forecasting, text analytics and Optimization and Simulation.

Department of Industrial & Systems Engineering of IIT Kharagpur with their proven expertise in data analytics has come forward to train interested participants.

Important Information

Objectives of the Course

To build competency of the participants in

  • Fundamentals of data analytics and its applications.
  • Descriptive, predictive and prescriptive data analytics.
  • Exposure to practical problems and their solutions using SAS.

Course Content

Foundations of Data Analytics Data Types and Sources, Visualizing and Exploring Data, Organizational Interfaces and IT, Precondition for Data Analysis
Statistics Module Descriptive Statistical Measures, Probability Distributions and Data Modeling, Sampling and Estimation, Multiple and Multivariate Regression, Principal Component Analysis, Factor Analysis and structural equation modeling
Optimization Module Linear Optimization, Integer Optimization, Nonlinear and Non-Smooth Optimization, Optimization Models with Uncertainty
Decision Making Module Statistical Decision Making, Optimization Based Decision Making, Decision Making with Risk and Uncertainty
Case studies and live problems using SAS

Course Schedule

  • 9 am to 6 pm with 2-hour lunch break on each day.

Training Methods

  • The training methods consist of lecture sessions, hands-on-exercises, discussion on cases and live problems.

Eligibility

  • Data Scientists, Data Analysts, Executives, Engineers, and Administrators from all industrial and consulting firms; scientists and research scholars from research laboratories; and teachers and research scholars from academic institutes.

Course Fee

  • The fee for the three-day programme is Rs. 20,000/- per participant.

  • Mode of Payment:
    1. Mode 1: Demand Draft in favour of "CEP-STC, IIT Kharagpur" payable at Kharagpur, India

    2. Mode 2: Payment can be made online as per the following details:

      Name of Account:CEP-STC
      Address:SRIC, IIT Kharagpur, 721302
      Account No.:95562200002955
      IFSC Code:SYNB0009556

Accommodation

  • The participants will be provided AC accommodation in the Technology Guest House on payment basis.

Course Coordinator

Prof. J Maiti
Principal Coordinator,
Department of Industrial &
Systems Engineering,
IIT Kharagpur
Email: jmaiti@iem.iitkgp.ernet.in
Mobile: +91-9474305050

Prof. J K Jha
Coordinator,
Department of Industrial &
Systems Engineering,
IIT Kharagpur
Email: jkjha@iem.iitkgp.ernet.in
Mobile: +91-9476329002

Prof. S K KUMAR
Coordinator,
Department of Industrial &
Systems Engineering,
IIT Kharagpur
Email: srikrishna@iem.iitkgp.ernet.in
Mobile: +91-9800111678