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 Development Program (FDP), will help you to:
- Build a robust data science syllabus for academic programs.
- Attract high-caliber students by offering courses that meet growing demand for analytics professionals.
- Augment your course offerings with top-level course materials from the world leader in Advanced Analytics, AI & Machine Learning.
- Enable student’s to earn industry validation by offering SAS Global Certifications in the areas of Data Management, Advanced Analytics and Data Science as part of your curriculum.
- Increase career opportunities and marketability for Students.
- Enhance faculty skills for promoting world class research.
Featured Speaker
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 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:
22 - 26 November 2021, Monday - Friday
Time:
09:00 AM–01:30 PM IST
Venue:
Online
Register now
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AGENDA
Agenda | |
Day 1 | |
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 pm IST | Tea Break |
10:45-01:00 pm IST | Programming Basics for Data Management (Hands-on with Programming) |
Day 2 | |
09:00-09:30 am IST | Managing Streaming Data (Hands-on practice session on IOT Event Management) |
09:30-10:30 am IST | Data Exploration & Manipulation |
10:30-10:45 pm IST | Tea break |
10:45-01:00 pm IST | Self-Service Data Preparation (Hands-on practice session with select examples) |
Day 3 | |
09:00-09:30 am IST | Managing Streaming Data (Hands-on practice session on IOT Event Management) |
09:30-10:30 am IST | Data Exploration & Manipulation |
10:30-10:45 pm IST | Tea break |
10:45-01:00 pm IST | Self-Service Data Preparation (Hands-on practice session with select examples) |
Day 4 | |
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 | |
09:00 am-1:30 pm IST | 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 |
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 |