Python for Neuroscience
This micro-course introduces the fundamental concepts of Python programming with a focus on scientific computing and neuroscience-oriented applications.
Prof. Srinivasa Chakravarthy
Co-founder & Chief Scientist, Neurogati. Professor, IIT Madras
About the Course
Participants will first learn the core building blocks of Python, including variables, data types, operators, collections, conditional statements, loops, and functions, developing the ability to translate simple problems into structured computational solutions. The course then introduces NumPy for efficient numerical computing, covering arrays, vectorized operations, matrix computations, and the representation of scientific data such as neural activity vectors, firing rates, and connectivity matrices. Building on these foundations, participants will learn to use Pandas for working with real-world datasets, including loading CSV and Excel files, organizing data with DataFrames, filtering observations, grouping data, and calculating summary statistics. Throughout the course, practical examples drawn from scientific and neuroscience contexts will demonstrate how Python can be used to organize, process, analyze, and interpret experimental data. By the end of the course, students will have the programming and data-analysis foundations needed to confidently work with scientific datasets and progress toward more advanced computational neuroscience, machine learning, and data science workflows.
What You'll Learn
Build a Strong Python Foundation
Understand Python fundamentals, operators, collections, conditionals, and loops to write clear programs and solve problems systematically.
Work Efficiently with Scientific Data
Use NumPy to represent numerical datasets, perform vectorized computations, manipulate arrays and matrices, and analyze scientific or neuroscience-related data efficiently.
Analyze Real-World Datasets with Pandas
Load CSV/Excel data into Pandas DataFrames, clean and filter data, group observations, calculate summary statistics, and turn raw experimental data into meaningful insights.
Meet Your Instructor
Prof. Srinivasa Chakravarthy
Co-founder & Chief Scientist, Neurogati. Professor, IIT Madras
One-time payment · Lifetime access
- ✓ 4 chapters · 4 lessons
- ✓ Certificate of completion
- ✓ Access on all devices
- ✓ Curated by IIT Madras faculty