Complete Beginner

Python for Researchers: Automate the Boring Parts of Research

Learn just enough Python to automate the repetitive tasks eating hours of your research week — no programming background required. File management, PDF parsing, data cleaning, and more.

7 hoursTotal content
32 lessonsShort modules
198+Students enrolled
⭐ 4.7/5Average rating

$147

One-time payment · Lifetime access

  • 7 hours of beginner-friendly video content
  • 32 lessons built around real research tasks
  • All scripts available as downloadable .py files
  • VS Code setup guide for researchers (PDF)
  • Git + GitHub quick-start for research projects
  • Lifetime access + updates
  • Access to private Discord community
  • 30-day money-back guarantee
Enroll Now →

🔒 30-day money-back guarantee — no questions asked

What You'll Learn

Set up Python and VS Code on Windows, Mac, or Linux
Read and modify Python scripts without prior experience
Rename, move, and organise thousands of files automatically
Extract text and tables from PDFs programmatically
Clean and validate research data in CSV files
Fetch metadata from DOIs and PubMed programmatically
Build a simple web scraper for public research data
Automate email digests from journal alerts
Version control your scripts with Git and GitHub
Write scripts you can understand 6 months later

Course Curriculum

1

Why Python for Research (Not for Programming)

What Python can automate that no other tool can — and why you don't need to become a developer.

2

Setup: Python, VS Code, and Your First Script

Installation, environment setup, running your first script. Troubleshooting common first-run issues.

3

Python Fundamentals in 45 Minutes

Variables, loops, conditions, and functions — only what you need for the scripts in this course.

4

File System Automation

List, rename, move, copy, and delete files with Python. Build the PDF batch renamer.

5

Reading and Writing CSV Files

Open, filter, and modify your data without Excel. Handle the encoding errors that drive researchers crazy.

6

PDF Parsing

Extract text, tables, and metadata from PDFs. Handle scanned documents with OCR.

7

Working with Zotero and BibTeX

Parse and clean .bib files. Build the BibTeX cleaner script for LaTeX projects.

8

Fetching Data with APIs

Get metadata from CrossRef, PubMed, and Semantic Scholar. No API key required for most.

9

Web Scraping for Research Data

Scrape tables from public websites responsibly. Handling rate limits and terms of service.

10

Automating Repetitive Writing Tasks

Generate formatted reference lists, build report sections from structured data.

11

Scheduling and Automation

Run scripts automatically on a schedule. Email digests and automated backups.

12

Version Control with Git and GitHub

Version control your scripts so you can experiment without fear. Collaborating with supervisors.

13

Building Your Own Research Toolkit

Combining scripts, writing readable code, and adapting examples to your specific needs.

Who This Course Is For

Researchers who spend time on tasks like: renaming downloaded PDFs, cleaning up exported data, manually copying information between tools, or reformatting bibliographies. This course automates those tasks.

Honest expectation setting: After this course, you’ll be able to write simple scripts and, more importantly, adapt scripts others have written. You will not be a software developer — and you don’t need to be.

Prerequisites

  • No programming experience required whatsoever
  • A computer with internet access
  • Curiosity and 7 hours of time

What Language, What Version?

Python 3.11+. All scripts are tested on Windows 11, macOS 14, and Ubuntu 22.04. The VS Code setup guide makes editor configuration painless.