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Exploratory Data Analysis with Categorical Variables Regression Models: Dummy Variables and Logit/Probit using Eviews 

Exploratory Data Analysis with Categorical Variables Regression Models: Dummy Variables and Logit/Probit using Eviews 

by IMPRI
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Exploratory Data Analysis with Categorical Variables Regression Models: Dummy Variables and Logit/Probit using Eviews | Two-Week Immersive Online Hands-On Certificate Training Course | #WebPolicyLearning

#IMPRI Generation Alpha Data Center (GenAlphaDC), IMPRI Impact and Policy Research Institute, New Delhi invites you to #WebPolicyLearning –

Two-Week Immersive Online Hands-On Certificate Training Course on

Exploratory Data Analysis with Categorical Variables Regression Models:
Dummy Variables and Logit/Probit using Eviews

Dates: December 10 & 17, 2022 (Saturdays)
Timings: 3:00 – 4:30 p.m. IST
Platform: Zoom

Course Fee: ₹ 2999 (inclusive of GST)

Discounted Fee:  ₹ 1999 Now Open

Discounted Fee: ₹ 1999

Now Open | Limited Seats

WebPolicyLearning Exploratory Data Analysis with Categorical Variables Regression Models 1

About the Course: 

For Whom: Data and Policy enthusiasts – including students, professionals, researchers, and any individual looking for a comprehensive foundation to data-based policy research.

Certificates will be provided upon successful completion of the course.

Course Contents: Exploratory data analysis and extensive hands-on training on advanced-level regression analysis with categorical independent and dependent variables regression models (Dummy variable & Logit/Probit). These sessions will be done using Eviews and lay stress on data analysis applications for various multi-disciplinary research. Further, doubts clearing and discussions will be done.

The videos of the session will be provided till December 2022, along with datasets for learning and practice.

Convenors:

Prof Vibhuti Patel
Visiting Professor, IMPRI; Former Professor, Tata Institute of Social Sciences (TISS), Mumbai

Dr Soumyadip Chattopadhyay
Associate Professor, Economics, Visva-Bharati, Santiniketan; Visiting Senior Fellow, IMPRI

Dr Arjun Kumar
Director, IMPRI

Expert Trainer:

Nilanjan Banik edited

Prof Nilanjan Banik
Professor and Program Director (BA, Economics and Finance),
Mahindra University, Hyderabad & Visiting Consultant, IMPRI

Nilanjan Banik currently works as a Professor at Mahindra University, India. He is also a Visiting Consultant at IMPRI and an Academic Consultant with Geneva Network, United Kingdom; and a Senior Consultant with Hankuk University of Foreign Studies, South Korea. He earned his Phd in Economics from Utah State University, USA, and a Master of Economics from Delhi School of Economics, India. Prof. Banik focuses on applying econometrics to issues relating to international trade and Development economics. He has published in several peer-reviewed journals, some of them ‘A’ categories, such as the International Review of Economics and Finance, Empirical Economics, Review of Development Economics, etc.

Additionally, he has written a book on the Indian macroeconomy which is published from Sage. He also has the distinction of writing editorials for all major English dailies in India, and abroad including that of the Wall Street Journal, Business Times, and Huffington Post.  He has consulting experience with major multilateral agencies such as Asian Development Bank, UNESCAP, WTO, ICRIER, RIS, CEPR, etc. He features regularly in various talk shows on topical issues on major English TV News channels in India. More about him and his work is available at www.nilanjanbanik.in 

Registration Form

Link to Registration Formhttps://forms.gle/RkY8zGPtpDhD6ffd8


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Payment Link: https://rzp.io/l/impridapra

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Queries: learningatimpri@gmail.com

Previous Event: Data Analytics for Policy Research | A 6-Week Immersive Online Hands-On Certificate Training Course | #WebPolicyLearning

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Videos:

Day 1: https://youtu.be/6xhA4AddDkI

Day 2: https://youtu.be/AFDmvWklLvg

Additional Details

Registration Deadline Time - 12:00 AM

Event registration closed.
 

Date And Time

10/12/2022 @ 03:00 PM to
17/12/2022 @ 04:30 PM
 

Registration End Date

10/11/2022
 

Location

Online event
 

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