E-FDP ON QUANTITATIVE QUALITATIVE ANALYSIS USING PYTHON

E-FDP ON "QUANTITATIVE AND QUALITATIVE ANALYSIS USING PYTHON"

January 04-06, 2021

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About Event

Qualitative research is a scientific method of observation to gather non-numerical data. It has significance in terms of reviews, know-how about the product or services, sharing experience or emotions about an event etc. On the other hand, Quantitative analysis involves looking at the hard data, the actual numbers. Therefore, in order to improve the understanding by integrating both ways of knowing the 3 days E-FDP has been planned to organize wherein the researchers will be able to explore many of the why and how questions of human experience, in making a decision and will help them to redirect the research towards analysis of numerical as well as non-numerical data.

Who can participate?

Research Scholars, Professionals from Industry and Academia from Technical and Management Institution are eligible to participate.

Pedagogy

A mix of pedagogical techniques will be used i.e. lectures, discussions, presentations and exercises. Hands on experience will be delivered on the same.

Why should attend

To gain understanding of Quantitative as well as Qualitative data analysis and its research implications.
To enable the participants to gain knowledge about Python, its uses and applications in terms of quantitative and qualitative methods.
To provide new outlook to the research style by integrating Quantitative as well as Qualitative analysis.

Certificate of Participation

All participants will be awarded with Certificate of Participation upon completion of the programme.

Resource Persons

Dr. Akanksha Upadhyaya

Dr. Akanksha Upadhyaya has been associated with RDIAS from past 7 years with overall experience of more than 12 years, as an Academician. She has teaching experience in the field of Information Technology, Computer Science and Management Studies. She has completed her PhD from Amity University, Noida. She has presented papers in various National and International Conferences and also received best paper award. She has been awarded with outstanding thesis award 2020 by GRF. She has published more than 12 research papers in Scopus Indexed conferences and Scopus Indexed Journals such as IEEE, Springer, Inderscience, Elsevier, IGI Global to name a few. She has been session chair in number of International and National conferences and also guest editor in reputed International book publications and journals and reviewer of Inderscience, springer nature, peer reviewed journals. She is beneficent speaker and Resource Person in the field of Research Methodology and Data Authentication in number of faculty development programs.

TOPICS TO BE COVERED

Introduction to Quantitative and Qualitative Research.
Introduction to Anaconda and Jupyter Notebook
Numpy vs. Pandas
Importing Pandas.
Working with Series and Data Frames in Pandas
Importing Data set
Data Cleaning, Data Manipulation, sorting, filtering, descriptive statistics
Introduction to Metplotlib and Seaborne
Introduction to Natural Language Processing (NLP)
Stages in NLP, Text mining vs. NLP
Sentiment Analysis, its types, applications and examples, sentiment analysis vs. word cloud.
Sentiment Analysis in Python using Natural Language Toolkit
Importing Sentiment Analysis Libraries
Working with Natural Language Toolkit-Vader
Experimenting with Sentiment Analysis, calculating sentiment for a paragraph

Registration Fee Rs. 500 Per Participants

The registration fee can only be paid through online mode and link for the same is available in registration form.

Registration

Registrations invited on first come first serve basis till December 28, 2020 will be considered. Interested participants can register themselves through the given link:

FOR ANY QUERY CONTACT:

Dr. Akanksha Upadhyaya

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Rukmini Devi Institute of Advanced Studies 2A & 2B, Phase-1, Madhuban Chowk, Outer Ring Rd, Block D, Sector 14, Rohini, Delhi, 110085