Genetic Engineering

Quick Java Course

Rating: 4
981 people enrolled
Duration : 12 weeks
Lessons : 20
Course Instructor: kranthikunta
Last Updated : Jan. 3, 2025, 1:06 p.m.
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₹ 15000/-

₹ 5000/-

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  • Level: Intermediate

  • Duration: 12 weeks

  • Lessons: 20

  • Lifetime Access

  • Access From Any Computer, Tablet or Mobile

About the course

Our Genetic Engineering with Python internship provides a unique opportunity to explore the intersection of biology, genetics, and data science. You'll gain hands-on experience using Python to analyze genetic data, perform bioinformatics tasks, and develop algorithms to solve complex problems in genetic research. This internship will equip you with the tools to work with DNA sequences, gene expression data, and genetic modification techniques, preparing you for impactful roles in the growing field of genetic engineering. Throughout the internship, you'll work on real-world projects involving genetic sequence analysis, genome-wide association studies (GWAS), and gene editing techniques like CRISPR. By leveraging Python’s powerful libraries for data analysis and visualization, you’ll gain insights into genetic patterns, mutation identification, and genetic variation. With expert mentorship and exposure to cutting-edge genetic research, you'll be well-prepared for roles such as Genetic Researcher, Bioinformatics Specialist, or Genetic Data Analyst. This internship is the ideal way to jumpstart your career in genetic engineering and contribute to groundbreaking advancements in healthcare, agriculture, and biotechnology.

Course Content

  • Chromosomes and DNA Basics
  • Genetics and Heredity
  • Introduction to Genetic Engineering
  • Genetic Engineering Tools
  • Gene Therapy and GMOs
  • CRISPR and Genome Editing
  • Synthetic Biology and Bioinformatics
  • DNA Replication and Protein Synthesis
  • Gene Disorders Overview
  • Pharmacogenomics
  • Transgenic Plants and Animals
  • Cloning Vectors and Transformation
  • Admission Process

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