🧠 An EEG Analysis x Python Journey

Unlocking the Brain
20-Day EEG Analysis Odyssey

EEG brain waves visualization with neural network patterns and colorful signals
📥 20 Days 🐍 Python-first 🧠 EEG · MNE-Python 📊 Stats for EEG 🎓 Beginner-friendly 🔬 EEG

"The brain isn't a computer. It's a chaotic pile of electric meat trying its best to translate reality into a language we can understand"

The Philosophy

This is not a passive course. Every day, you get your hands dirty — loading real EEG data, debugging real code, and building real intuition. We start with Python fundamentals and end with publication-grade statistics. No shortcuts, no magic boxes. Just you, the signal, and a terminal.

The 20-Day Roadmap

Hover over any card to reveal what you'll actually be doing that day

Day 01
⚔️

Python Basics: Indexing, Slicing & Dicing

Becoming a brain-data ninja. Tame your arrays before they tame you.

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Day 02
📈

Python Basics: Plotting for Insights

Turning arrays of raw numbers into a visual story, because your eyes are better at spotting patterns (mistakes).

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Day 03
🧮

Python Basics: Dataframes to Arrays

Flattening the curve of your dimension confusion. DataFrames are great — until they aren't.

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Day 04
🗑️

Data Cleaning: Downsampling, Bad Channels & Segments

Throwing out the bad apples before making neural cider. Garbage in, garbage out.

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Day 05
🎭

Data Cleaning: ASR

Artifact Subspace Reconstruction — politely asking the noise to leave the room. Goodbye, muscle artifacts.

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Day 06
🧿

Data Cleaning: ICA

Independent Component Analysis — separating your actual brainwaves from your excessive blinking, heartbeats, and muscle smirks.

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Day 07
🏷️

Data Cleaning: ICLabel

Letting an algorithm judge your brain's noisy habits. Auto-classify ICA components with confidence.

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✦ Special Day ✦

🚚 Tour of CCS Pipeline for Data Cleaning

Day 08
📉

Dimensionality Reduction: PCA

Stripping away the drama to find the main characters of your data. Welcome to the eigenvalue era.

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Day 09

Features: Power Spectral Density (PSD)

Figuring out exactly where your brain's energy bill is going. Alpha, beta, gamma — who's freeloading?

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Day 10
🌊

Features: Frequency Sliding

Catching those brain waves while they're on the move. Instantaneous frequency — not as instant as coffee, but close.

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Day 11
📐

Features: FOOOF

Fitting Oscillations & One Over F — because sometimes the "background noise" is the real story.

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Day 12
🔀

Features: IRASA

Un-fractaling your thoughts to see what's actually oscillating. Separate the rhythmic from the chaotic.

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Day 13
⏱️

Features: Autocorrelation Window (ACW)

Measuring exactly how long your brain holds onto a grudge… or a signal. Temporal persistence quantified.

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Day 14
🌈

Time-Frequency: Wavelets

For when you absolutely need to know exactly when and what happened. Time-frequency precision.

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✦ Special Day ✦

🗂️ Clean and Get All Features from a Small Dataset

Day 15
🪟

Time-Frequency: Multitaper

Smoothing things over when your spectrum is looking a little too jagged. Multiple tapers, multiple peace of mind.

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Day 16
👻

The Hilbert Transform (Analytic Signal)

Adding an imaginary friend to your very real data. The holy trinity of signal: envelope, phase, frequency.

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Day 17
🧠

Connectivity: Coherence, PLI & PLV

Finding out if brain regions are actually talking, or just gossiping. True synchrony vs. volume conduction.

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Day 18
🃏

Stats: Permutation-Based Testing

Shuffling the deck until your p-value finally cries uncle. Non-parametric, assumption-free inference.

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Day 19
🗺️

Stats: Cluster Statistics

Because one significant pixel is a fluke, but a blob is a discovery. Spatial-temporal cluster correction.

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Day 20
🎯

Stats: TFCE

Threshold-Free Cluster Enhancement — because setting arbitrary cutoffs is so last century. The final boss.

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What You'll Walk Away With

About the Instructor

Instructor

Dr. Rahul Venugopal

Cognitive Scientist · EEG Analyst · Open-Science Advocate

We as a team have spent years decoding the brain's electrical whispers and translating them into actionable science. This course is a distillation of everything we wished had been taught in a single, coherent, hands-on sequence so you can skip the decade of stumbling and go straight to the good stuff.