Training and Workshops

UPCOMING.... 

Five days’ intensive online workshop on Social Science Research Process

Duration: January 26-30, 2026

Deadline: January 16, 2026

Application link: https://docs.google.com/forms/d/1oTkhZUPmuKBwCNs81ZCHL6zJgn-2KGM0GNVCxr3keqE/edit

For:  Students [Post Graduate and above], academicians, practitioners 

About: This workshop is a serious endeavour to provide intensive orientation on social science research

process- theoretical perspective and empirical approach. Certificate of completion will be awarded only if 

a participant attends all modules and finishes the assignment. You are advised not to apply for workshop 

if your objective is only to get a certificate.

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Contact: trcindia2022@gmail.com

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Resource person: 

Neetu Choudhary, PhD

Current Affiliation: Arizona State University and Raiganj University

through ICSSR

Experience: 15 years of experience in Research, Analysis and Publication

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Workshop module:

Day 1: Beginning your research [2 hours]

• Identification of research topic

• Review of literature

• From topic to research question: Formulation of hypothesis/research questions

 

Day 2: Designing your research [2 hours]

• Exploratory, descriptive, explanatory and experimental research

• Design of experiments

• Quantitative and qualitative research – what answers can they provide?

 

Day 3: Identification of data source and sampling [2 hours]

• identification of variables, measurement

• Units and level of analysis

• Meaning and types of sampling for quantitative and qualitative research

 

Day 4: Data collection [2 hours]

• Primary data and its types

• Surveys

• Secondary data and its types

 

Day 5: Data processing, analysis and interpretation [2 hours]

• Cleaning, coding

• Types of analysis

• Conclusion and report writing

• Research ethics - Plagiarism & The AI challenge

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​​​​COMPLETED

Ten days’ E-workshop on Introductory and intermediate statistics

September 1-10, 2025

About: This E-Workshop provided 20 hours of intensive training on

introductory and intermediate level statistics. It targeted candidates from

any discipline who want to develop aptitude for statistical analysis and

apply it at a fair level. The workshop focused on both theoretical rigor

and practical exercise.

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​​​​Contact email: trcindia2022@gmail.com ​

Resource persons

1) Neetu Choudhary, PhD

Current Affiliation: Arizona State University and Raiganj University

through ICSSR

Experience: 15 years of experience in quantitative research using

advanced data analysis tool​

​

2) Abhijit Ghosh, PhD

Current Affiliation: Mahatma Gandhi College (affiliated to SKBU)

Experience: 12 years of experience in using advanced statistical tools and analysis

 

Course Module

      1.Introduction: Types of data and variable                                           2 hrs.

• Describing quantitative data                                                                    .

• Pie Chart, Bar Graph, and Histograms

• Box-and-Whisker Plot and Scatter Plot​

•  

• 2. Describing distribution                                                                       2 hrs.

• Normal distribution

• Mean, median, quartile, percentile

• Standard deviation

 

      3. Probability                                                                                          4 hrs.

• Randomness

• Probability models

• Random variable- it’s mean and variance

• Types of probability distribution

• Standardizing Data and the Standard Normal Curve

• Normal approximation

 

       4. Sampling                                                                                             2 hrs.

• Sampling design

• Sampling techniques

• Parameter and statistic

• Expected value and standard error

• Central limit theorem

 

       5. Relationships                                                                                      4 hrs.

• Correlation

• Design of experiments

• Observation versus experiment

• Least square regression

• Multiple regression

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       6. Inference and hypothesis testing                                                       2 hrs.

• Parametric vs. non-parametric test                                             

• p-values as Measures of Evidence

• t-test; F-test, Two-sample z-test

• Inferences for categorical data

• Inferences for regression

 

        7.Analysis of categorical data                                                                2 hrs.

• Chi-square

• ​ANOVA [One way]

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       8.  Projection                                                                                             2 hrs.

•  Population

•  Extrapolation

•  Interpolation

                                                          

​____________________________________________________________________________________________________________

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TRC successfully completes​ four days E Workshop on "Basic statistics with Excel for a Multidisciplinary team" during

May 28-31, 2025

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About

This e-workshop  targeted at a multidisciplinary team and will equip the participants with essential data analysis skills using

Microsoft Excel. The programme was particularly tailored to the needs of scholars from diverse background at any stage of

their career.  The training introduced participants to basic statistical methods and their analysis using Microsoft Excel. 

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How to apply

Interested candidates should submit the  google form using following link:

 https://docs.google.com/forms/d/e/1FAIpQLSfZyuwS7BZ01xSz7drgwKP03C56rcXlAeqQJIoYc61Tz-cVVw/viewform?usp=sf_link

​Registration fee: INR 1000/- [payment through bank transfer or UPI]

Contact email: trcindia2022@gmail.com

​​

Bank Details

State Bank of India, Patna 800004

Account Name: Transformatory Research Collaborative

Account No: 41290487175

IFSC: SBIN0003516

UPI: 9199200554​

​

Resource persons

1) Neetu Choudhary, PhD

Current Affiliation: Arizona State University and Raiganj University through ICSSR

Experience: 15 years of experience in quantitative research using advanced data analysis tool​

2) Abhijit Ghosh, PhD

Current Affiliation: Mahatma Gandhi College (affiliated to SKBU)

Experience: 12 years of experience in using advanced statistical tools and analysis

 

Course content​

Unit 1: Introduction to Excel for Data Analysis

• Overview of Excel interface and key features

• Understanding data types and formats

• Basic navigation and shortcuts

Unit 2: Data Handling and Cleaning

• Importing and organizing data in Excel

• Sorting and filtering data

• Removing duplicates and handling missing values

• Data validation and conditional formatting

Unit 3: Basic Formulas and Functions

• Arithmetic and logical functions (SUM, AVERAGE, IF, COUNTIF)

• Text functions (LEFT, RIGHT, CONCATENATE, TRIM)

• Lookup functions (VLOOKUP, HLOOKUP, INDEX-MATCH)

Unit 4: Data Visualization in Excel

• Creating charts and graphs (bar, line, pie, scatter plots)

• Formatting and customizing visual elements

• Using PivotCharts for dynamic visualization

Unit 5: Descriptive Statistics and Basic Analysis

• Understanding measures of central tendency and dispersion

• Using Excel’s built-in statistical functions (MEAN, MEDIAN, MODE, STDEV, CORR)

• Introduction to PivotTables for summarizing data

Unit 6: Introduction to Data Analysis Tools in Excel

• Using Goal Seek and Data Tables for analysis

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Target audience

• Researchers with various disciplines

• Graduate/PG students 

• Professionals looking to enhance data analysis skills

• Entrepreneurs and business analysts

• Anyone interested in learning basic data analysis using Excel

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Benefits

Training

Certificate of participation

Need-based support for one month after the completion of workshop

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