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
Sunil Bhardwaj
Senior Training Consultant
Education, SAS
Dr. Sunil Bhardwaj has 16+ years of training, mentoring and consulting experience in SAS® with leading clients in India and abroad. Dr. Bhardwaj has conducted mentoring workshops in the area of Business Forecasting, Predictive Modeling, Big Data Analytics, Operations Research & Design of Experiments with leading corporations in the area of banking, retail, manufacturing and agriculture.
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:
March dates coming soon
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 AM | Analytics Education in the New Age Components of Data Science Curriculum Customer Learning Portal |
| 10:30 AM - 12:00 PM | Relevance of Data Management Self-Service Data Preparation (Hands-on practice session on Visual Data Studio- select examples) |
| 12:00 PM - 01:00 PM | Lunch break |
| 1:00 PM - 2:30 PM | Story telling using Data Visualization (Hands-on practice session on SAS Visual Analytics-select examples) |
| 2:30 PM - 4:00 PM | Analytics Concepts and Model Building (Hands-on practice session on SAS Visual Statistics-select examples) |
| Agenda | |
| Day 1 | Topic |
| 09:00 – 09:30 AM IST | Education 4.0 : Analytics Education in the New Age |
| 09:30 – 10:30 AM IST | Market Demand, Current Tools for Analytics - AI & ML and Big Data |
| 10:30 – 10:45 AM IST | Tea Break |
| 10:45 – 01:00 PM IST | Programming Basics for Data Management (Hands-on with Programming) |
| Day 2 | Topic |
| 09:00 – 10:00 AM IST | Managing Streaming Data (Hands-on practice session on IOT Event Management) |
| 10:00 – 10:30 AM IST | Data Exploration & Manipulation |
| 10:30 – 10:45 AM IST | Tea Break |
| 10:45 – 01:00 PM IST | Self-Service Data Preparation (Hands-on practice session with select examples) |
| Day 3 | Topic |
| 09:00 – 10:30 AM IST | Analytics Concepts in the Modern Age (Introducing Artificial Intelligence and Machine Learning ) |
| 10:30 – 10:45 AM IST | Tea Break |
| 10:45 – 01:00 PM IST | Machine Learning Using Cloud Analytics (Hands-on practice session on select ML Algorithms and Applications) |
| Day 4 | Topic |
| 09:00 – 10: 30 AM IST | Visual Text Analytics/Forecasting (Hands-on select algorithms) |
| 10:30 – 10:45 AM IST | Tea Break |
| 10:45 - 12:15 PM IST | Visual Analytics (Hands-on select Visualizations) |
| 12:15 – 01:00 PM IST | Curriculum Design Best Practices, Learning Paths and Career Choices |
| Day 5 | Topic |
| 09:00 AM– 01: 30 PM IST | Faculty Curriculum Presentation |
| Day 1 | Topic |
| 09:00 - 09:30 AM | Education 4.0 : Analytics Education in the New Age |
| 09:30 - 10:30 AM | Market Demand, Current Tools for Analytics - AI & ML and Big Data |
| 10:30 - 10:45 AM | Tea Break |
| 10:45- 01:00 PM | Programming Basics for Data Management (Hands-on with Programming) |
| Day 2 | Topic |
| 09:00 - 09:30 AM | Managing Streaming Data (Hands-on practice session on IOT Event Management) |
| 09:30 - 10:30 AM | Data Exploration & Manipulation |
| 10:30 - 10:45 AM | Tea Break |
| 10:45- 01:00 PM | Self-Service Data Preparation (Hands-on practice session with select examples) |
| Day 3 | Topic |
| 09:00 - 10:30 AM | Analytics Concepts in the Modern Age (Introducing Artificial Intelligence and Machine Learning ) |
| 10:30 - 10:45 AM | Tea Break |
| 10:45- 01:00 PM | Machine Learning Using Cloud Analytics (Hands-on practice session on select ML Algorithms and Applications) |
| Day 4 | Topic |
| 09:00 - 10:30 AM | Visual Text Analytics/Forecasting (Hands-on select algorithms) |
| 10:30 - 10:45 AM | Tea Break |
| 10:45- 12:15 PM | Visual Analytics (Hands-on select Visualizations) |
| 12:15- 01:00 PM | Curriculum Design Best Practices, Learning Paths and Career Choices |
| Day 5 | Topic |
| 09:00 AM - 01:30 PM | Faculty Curriculum Presentation |
Agenda
| Day 1 | Topic |
| 09:00 – 09:30 AM IST | Education 4.0 : Analytics Education in the New Age |
| 09:30 – 10:30 AM IST | Market Demand, Current Tools for Analytics - AI & ML and Big Data |
| 10:30 – 10:45 AM IST | Tea Break |
| 10:45 – 01:00 PM IST | Programming Basics for Data Management (Hands-on with Programming) |
| Day 2 | Topic |
| 09:00 – 10:00 AM IST | Managing Streaming Data (Hands-on practice session on IOT Event Management) |
| 10:00 – 10:30 AM IST | Data Exploration & Manipulation |
| 10:30 – 10:45 AM IST | Tea Break |
| 10:45 – 01:00 PM IST | Self-Service Data Preparation (Hands-on practice session with select examples) |
| Day 3 | Topic |
| 09:00 – 10:30 AM IST | Analytics Concepts in the Modern Age (Introducing Artificial Intelligence and Machine Learning ) |
| 10:30 – 10:45 AM IST | Tea Break |
| 10:45 – 01:00 PM IST | Machine Learning Using Cloud Analytics (Hands-on practice session on select ML Algorithms and Applications) |
| Day 4 | Topic |
| 09:00 – 10: 30 AM IST | Visual Text Analytics/Forecasting (Hands-on select algorithms) |
| 10:30 – 10:45 AM IST | Tea Break |
| 10:45 - 12:15 PM IST | Visual Analytics (Hands-on select Visualizations) |
| 12:15 – 01:00 PM IST | Curriculum Design Best Practices, Learning Paths and Career Choices |
| Day 5 | Topic |
| 09:00 AM – 01: 30 PM IST | Faculty Curriculum Presentation |
Limited seats available. Attendance for all four days are mandatory. Badges/certificates shall be issued to those attending the entire program.
| Day 1 | Topic |
| 09:00 - 09:30 AM | Education 4.0 : Analytics Education in the New Age |
| 09:30 - 10:30 AM | Market Demand, Current Tools for Analytics - AI & ML and Big Data |
| 10:30 - 10:45 AM | Tea Break |
| 10:45- 01:00 PM | Programming Basics for Data Management (Hands-on with Programming) |
| Day 2 | Topic |
| 09:00 - 09:30 AM | Managing Streaming Data (Hands-on practice session on IOT Event Management) |
| 09:30 - 10:30 AM | Data Exploration & Manipulation |
| 10:30 - 10:45 AM | Tea Break |
| 10:45- 01:00 PM | Self-Service Data Preparation (Hands-on practice session with select examples) |
| Day 3 | Topic |
| 09:00 - 10:30 AM | Analytics Concepts in the Modern Age (Introducing Artificial Intelligence and Machine Learning ) |
| 10:30 - 10:45 AM | Tea Break |
| 10:45- 01:00 PM | Machine Learning Using Cloud Analytics (Hands-on practice session on select ML Algorithms and Applications) |
| Day 4 | Topic |
| 09:00 - 10:30 AM | Visual Text Analytics/Forecasting (Hands-on select algorithms) |
| 10:30 - 10:45 AM | Tea Break |
| 10:45- 12:15 PM | Visual Analytics (Hands-on select Visualizations) |
| 12:15- 01:00 PM | Curriculum Design Best Practices, Learning Paths and Career Choices |
| Day 5 | Topic |
| 09:00 AM - 01:30 PM | Faculty Curriculum Presentation |