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DSTC-105417 Online (e-LMS) Advanced Postgrad

Fundamentals of Computational Biology

by - DSTC

Master Fundamentals of Computational Biology in 4 weeks through hands-on, project-based online training with DSTC.

β˜…β˜…β˜…β˜…β˜… Be the first to review β€’ 4 Weeks Β· 40 hrs β€’ e-Certificate Included
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From β‚Ή200 + GST

Programme Parameters

Educational Level:
Advanced Postgrad
Duration & Workload:
4 Weeks (40 Hrs)
Delivery Mode:
Online (e-LMS)
Prerequisites:
β€’ Prior working knowledge of the field and comfort with core tools and quantitative reasoning.
β€’ A laptop or desktop with a stable internet connection.
β€’ Willingness to complete assignments and the capstone project.

About This Course

The Fundamentals of Computational Biology course is a free, beginner-friendly self-paced program designed to introduce learners to how computational methods are used to study biological systems and life science data. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.

🎯 Program Aim

The Fundamentals of Computational Biology course is a free, beginner-friendly self-paced program designed to introduce learners to how computational methods are used to study biological systems and life science data.

πŸ“‹ Course Objectives

1. Apply Artificial Intelligence methods to authentic research and industry problems.
2. Produce a reproducible, portfolio-ready project you can cite in a thesis, paper, or job application.

πŸ‘₯ Who Should Enroll?

β€’ Master's and senior undergraduate students specializing in Artificial Intelligence
β€’ R&D engineers and working professionals applying Artificial Intelligence in industry
β€’ Academics and educators building research or teaching capacity in Artificial Intelligence

πŸš€ Key Learning Outcomes

β€’ A portfolio-grade Artificial Intelligence deliverable you can defend and extend.
β€’ A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.

πŸ’Ž What You'll Gain

πŸŽ₯

Live & Recorded Sessions

Lifetime access to class recordings
πŸŽ“

e-Certificate on Completion

Cryptographically verified credential
πŸ’¬

Post-Programme Support

Direct access to mentors & council
πŸ’»

Hands-On Experience

Notebooks, real-world code & datasets

Curriculum Outline

Module 1 Outline

Introduction to Computational Biology

What is Computational Biology? β€’ Role of Computing in Biological Research β€’ Computational Biology vs Bioinformatics β€’ Applications in Healthcare and Biotechnology

Module 2 Outline

Understanding Biological Data

DNA, RNA, Proteins, and Genes β€’ Introduction to Biological Sequences β€’ Genomics and Proteomics Basics β€’ Importance of Biological Databases

Module 3 Outline

Computational Methods in Biology

Sequence Analysis Concepts β€’ Pattern Recognition in Biological Data β€’ Basic Modeling and Data Interpretation β€’ Introduction to Biological Algorithms

Module 4 Outline

Applications of Computational Biology

Disease and Genetic Research β€’ Drug Discovery and Personalized Medicine β€’ Agricultural and Biotechnology Applications β€’ Computational Biology in Scientific Research

Module 5 Outline

Future Scope and Learning Path

AI and Data Science in Computational Biology β€’ Emerging Trends in Life Science Research β€’ Career Opportunities in Computational Biology β€’ Mini Learning Activity / Concept-Based Practice

Technical Specifications

ParameterRequirement
Covered Tool / PlatformComputational Biology
Covered Tool / PlatformBiological Data
Covered Tool / PlatformSequence Analysis
Covered Tool / PlatformGenomics
Covered Tool / PlatformProteomics

Frequently Asked Questions

Yes. This is a free online self-paced course designed for beginners.

No. The course focuses on beginner-level concepts and does not require coding experience.

You will learn the basics of computational biology, including biological data, sequence analysis, genomics, proteomics, and computational approaches in life sciences.

Students, beginners, biotechnology learners, healthcare learners, and professionals interested in computational biology can join.

Yes. Learners receive an e-Certification after completing the course.

Computational biology is the use of computing, mathematics, and data analysis methods to study biological systems, genes, proteins, sequences, and life science data.

Yes. This course is useful for life science, biotechnology, bioinformatics, molecular biology, genetics, medicine, pharmacy, and biomedical science learners.

The Fundamentals of Computational Biology course is designed as a 2–3 week online self-paced course.

Yes. Computational biology and bioinformatics are closely related fields that use computational approaches to understand biological data, sequences, genes, proteins, and molecular systems.

The course explains biological data, sequence analysis, genomics, proteomics, and computational methods using simple language without requiring prior programming or advanced computational knowledge. The Fundamentals of Computational Biology course provides a simple and structured introduction to applying computational methods in biological research and data analysis. It helps learners build a foundation in biological data, sequence analysis, genomics, proteomics, and computational approaches used in biotechnology, healthcare, and life science research.

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The proforma invoice is emailed here as well as to you.
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