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.
Date:
19 - 23 January 2021 , Tuesday - Saturday
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 |
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 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 |
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 |
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 |