One-day Faculty Workshop

An Overview on Building Data Science Curriculum

25 January 2022 | Online

This Faculty Development Program strives to support and promote learning of data science concepts and curriculum, to provide opportunity and development to  professors/educators and academic institutions.

Faculty worshop will help you to:

  • Get an overview about the key components of a data science syllabus for academic programs.
  • Identify opportunities to augment your course offerings with top-level course materials from the world leader in Advanced Analytics, AI & Machine Learning.
  • Augment your course offerings with top-level course materials from the world leader in Advanced Analytics, AI & Machine Learning.
  • Attract high-caliber students by offering courses that meet growing demand for analytics professionals.
  • Explore career opportunities for Students.
  • Identify opportunity to upgrade faculty skills for promoting world class research.

Featured Speaker

Akshay Dixit
Senior Consultant
Education, SAS

Akshay Dixit is presently working as a Analytics Training Consultant with SAS India. He has 8+ years of Training experience in SAS with all the leading clients in India and Abroad. He has conducted workshops in the area of Predictive Modelling, Big Data Analytics, Data Visualization and Enterprise Business Intelligence in the area of Banking, Retail, Manufacturing and Telecom.

Date:
 
Tuesday | 25 January 2022

Time:
09:00 AM–04:00 PM IST

Venue:
Online

Register now

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Agenda

One Day Workshop on

An Overview on Building Data Science Curriculum

  
  Time  Topic
9:00 AM - 10:30 AMAnalytics Education in the New Age
Components of Data Science Curriculum
Customer Learning Portal
10:30 AM - 12:00 PMRelevance of Data Management
Self-Service Data Preparation

(Hands-on practice session on Visual Data Studio- select examples)
12:00 PM - 01:00 PMLunch break
1:00 PM - 2:30 PMStory telling using Data Visualization
(Hands-on practice session on SAS Visual Analytics-select examples)
2:30 PM - 4:00 PMAnalytics Concepts and Model Building
(Hands-on practice session on SAS Visual Statistics-select examples)