Course Structure and Detailed Syllabus

The program runs for 5 Weeks and is divided into two main modules — an Online Preparatory Module conducted by the IBDC Team and an Onsite Data Analysis Module delivered by UCSD experts at RCB, Faridabad. The RCB–UCSD Certificate Course in Data Analysis for Systems Biology is a intensive program designed to build foundational and advanced skills in computational biology, bioinformatics, and multi-omics data analysis.

Preparatory Training (Online – IBDC Team)

Duration: 3 Weeks (January 19 – February 6)
Mode: Online Session conducted by IBDC Team
Schedule: Afternoon – 2:00 PM to 5:00 PM
Focus Areas: Applied Statistics, Python and R Programming, Linux, and HPC

Data Analysis Training (Offline – UCSD Team)

Duration: 2 Weeks (February 9 – February 20)
Mode: Onsite Session conducted by UCSD Team at RCB, Faridabad
Schedule:

Morning – 9:30 AM to 12:30 PM
Afternoon – 2:00 PM to 5:30 PM

Focus Areas: Multi-omics Data Analysis, Transcriptomics, Epigenomics, and Systems Biology Integration

Course Structure & Detailed Syllabus

Duration: 3 Weeks (January 19 – February 6)
Timing: Afternoon 2:00 PM – 5:00 PM

Covers: Python, R Programming, Linux, Applied Statistics & HPC
Total Duration: 3 Weeks – 37.5 Hours

Python Programming – 5 Days (12.5 Hrs)

Goal: Learn Python for data analysis & bioinformatics.

Python Fundamentals, Functions & Data Structures
File Handling
Pandas, NumPy, Matplotlib
BioPython

Hands-on: Parse biological files, analyze data & visualize results.

Outcome: Work with biological datasets & build reproducible workflows.

R Programming – 5 Days (12.5 Hrs)

Goal: Use R for statistics, visualization & genomics analysis.

Data Types & R Basics
Data Manipulation & Visualization
Statistical Analysis
Genomic Data using ggplot2 & Bioconductor

Hands-on: Run statistical tests & visualize genomic data.

Outcome: Analyze genomics dataset using R effectively.

Linux – 2 Days (5 Hrs)

Goal: Work efficiently in Linux environment.

Linux Architecture, Terminal & File Hierarchy
Commands (Basic → Advanced)
Bash Scripting

Hands-on: Automate tasks via shell scripts.

Applied Statistics – 2 Days (5 Hrs)

Goal: Build a foundation in statistical methods for biological data analysis.

Descriptive & Inferential Statistics
Hypothesis Testing
Correlation & Regression
Probability & Distributions
Dimensionality Reduction
Clustering

Hands-on: Apply statistical methods on gene-expression dataset.

Outcome: Understand hypothesis testing, modeling & unsupervised learning.

HPC – 1 Day (2.5 Hrs)

Goal: Use HPC for large-scale biological data analysis.

IBDC-HPC Infrastructure
Job Submission using PBS Scripts

Hands-on: Execute jobs & monitor on HPC cluster.

Guide Map

👉 Click here to open Google Map location

Distance of RCB From:

Airport: Indira Gandhi International Airport – 40.4 km
Railway Station: Old Faridabad Railway Station – 7.8 km

How to get to Regional Centre for Biotechnology, Faridabad

By Metro

Badkhal Mor Metro Station (Violet Line) – 4 km
Old Faridabad Metro Station (Violet Line) – 4 km
Neelam Chowk Ajronda Metro Station (Violet Line) – 4 km
Bata Chowk Metro Station (Violet Line) – 4 km

About the RCB–UCSD Certificate Course