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Python for Social Scientists

Welcome to Python for Social Scientists, a beginner-friendly course designed to help students, researchers, and professionals learn Python programming from scratch. No prior progra...

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Beginners
Published 2026 · Last updated Jul 2026

Python for Social Scientists

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Course overview

Course Overview

Welcome to Python for Social Scientists, a beginner-friendly course designed to help students, researchers, and professionals learn Python programming from scratch. No prior programming experience is required. This course introduces Python in a simple, step-by-step manner, making it easy for learners from non-technical backgrounds to develop programming skills.

You will learn the fundamentals of Python, including variables, data types, operators, control structures, functions, and data handling. Through practical examples and hands-on exercises, you will build a strong programming foundation that can be applied to research, data analysis, automation, and data science.

Whether you are new to coding or looking to enhance your research skills, this course provides an excellent starting point for learning Python.
 

Requirements

A desire to master Python Programming

A laptop with internet connection

Familiarity with basic computer and operating system

Recommended Foundation Course(s)

Students are expected to be familiar with the following Foundation course(s) before going through this course:

IBM SPSS Statistics Foundation Course

Questions and Answers

Premium Members can post their course related questions and problems in Discussion Forum to get a response.


Learning Outcomes

Understand the fundamentals of Python programming from scratch.

Write Python programs using variables, functions, loops, and conditional statements.

Work with common Python data structures and perform basic data manipulation.

Apply Python programming skills to research and social science applications.

Build a strong foundation for advanced topics such as data analysis, machine learning, and artificial intelligence.

What you walk away with

Career Map & Skills You Gain

Every course adds to three macro skills. Log in to swap platform averages for your own numbers.

Financial skills

62th

percentile

Your salary vs. learners in these roles

After this course+14 pts → 76th

Programming specialist

72% course score

+7

Project contributor

66% course score

+7

Independent practitioner

61% course score

+6

Employability skills

71th

percentile

Quiz scores from the courses you finish

After this course+18 pts → 89th

Understand the fundamentals of Python programming from scratch

64% course score

+6 pts

Write Python programs using variables, functions, loops, and conditional statements

70% course score

+7 pts

Work with common Python data structures and perform basic data manipulation

76% course score

+8 pts

Apply Python programming skills to research and social science applications

82% course score

+8 pts

Life skills

48th

percentile

Life-skill test scores after each course

After this course+11 pts → 59th

Critical thinking

76% course score

+8 pts

Decision-making

71% course score

+7 pts

Confidence

68% course score

+7 pts

Curriculum

5 modules · 25 lessons · 0 min

Each module pairs the hand calculation with the same analysis in Excel, SPSS, R and Python.

Know Your Instructor
0:23
Why Social Scientists Should Learn Program?
3:36
Programmability Options in SPSS
4:10
Python Installation on Windows
5:26
Accessing Python from SPSS
3:56
Understanding Extension Bundle Option
3:27
Three Rules of Writing Python Programme
7:08
Your First Python Programme in SPSS
11:18
Understanding Variables and Operators
7:15
Data Types in Python
1:11
What is Data?
1:54
What is Data Type?
5:10
What are Data Structures?
4:10
Data Types vs. Data Structures in Python
7:11
Primitive Data Types in Python
3:46
Non-Primitive Data Types: Lists, Stack, Queue, Map
7:38
Non-Primitive Data Types: Tupple, Set, Frozen Set, Dictionary
11:46
List of Built-in Functions in Python
14:45
Arithmetical Functions in Python
14:45
Print Function Impressing Your Guide
14:39
How to Print a Paragraph in Python?
5:30
Printing a Text Pattern in Python
5:44
Clear Screen Function
10:55
Input Function
19:18
Min - Max Function
8:43

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Questions

Frequently asked

Who is this course for?

This course is designed for learners who want a practical, guided path through Programming .

What will I learn?

Understand the fundamentals of Python programming from scratch. Write Python programs using variables, functions, loops, and conditional statements. Work with common Python data structures and perform basic data manipulation.

How long do I have access?

Your course access remains available for the lifetime of your account, including future updates to the lessons.

Is there a refund?

Yes. Eligible purchases include the platform money-back guarantee described at checkout.

We are committed to your progress

Lifetime access, mentor Q&A on every lesson, and a certificate you can share the moment you finish. If it is not right for you, the first 30 days are on us.

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