PY101 : Python for Researchers

Basic Data Analysis Using Python

5 Live Interactive Sessions • 10 Hours • Online Certificate Programme

Small Batch Mentorship Programme (Minimum 2 • Maximum 8 Participants)

Why This Programme?

Python has become one of the world's leading tools for research and data analysis. This programme has been specially designed for research scholars, MBA students, faculty members and professionals who wish to analyse research data using Python without learning unnecessary programming concepts.

Participants will learn to import Excel and CSV files, calculate descriptive statistics, generate frequency tables and perform basic statistical tests commonly used in dissertations, theses and research projects. No previous programming experience is required.

Who Should Attend?

PhD Scholars

Analyse thesis and research data using Python.

MBA & PG Students

Perform statistical analysis for dissertations and projects.

Faculty Members

Learn modern data analysis techniques for teaching and research.

Researchers & Professionals

Use Python for practical research and data-driven decision making.

What Will You Learn?

Python Fundamentals

Arrays, variables and essential Python commands for research.

Reading Research Data

Import CSV and Excel datasets into Python.

Descriptive Statistics

Mean, Median, Mode, Standard Deviation and grouped statistics.

Frequency Analysis

Create frequency tables for categorical variables.

Charts & Graphs

Generate bar charts, histograms and pie charts.

Statistical Tests

One Sample t-test, Independent t-test, Paired t-test and Chi-square Test.

Course Structure

Session	Topic
Day 1	Python Basics, Arrays and Variables
Day 2	Reading Excel & CSV Files
Day 3	Descriptive Statistics for Research Data
Day 4	Frequency Tables and Data Visualisation
Day 5	One-Sample t-test, Independent t-test, Paired t-test and Chi-square Test

Programme Highlights

Live Interactive Sessions
Hands-on Practical Demonstrations
Real Research Datasets
Python Command Library
Practice Exercises
Personal Mentoring
Digital Certificate
Post-Programme Guidance

Course Mentor

Dr. J. K. Sachdeva

Founder, RCSS Global Research Academy
Editor-in-Chief, Journal of Global Economy

Author of 14 books and numerous research publications. More than two decades of experience in Research Methodology, Statistics, Economics and Academic Mentoring.

Next Batch

Programme: PY101 : Python for Researchers

Mode: Online (Google Meet)

Duration: 6Live Interactive Sessions (12 Hours)

Timing: 7:00 PM – 9:00 PM (IST)

Batch Size: Minimum 2 • Maximum 8 Participants

Launch Fee: ₹399

Small Batch • Live Interaction • Personal Mentoring

Begin Your Python Research Journey

Learn practical Python for research and data analysis under expert mentorship.

Join PY101