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data Intermediate 21 lessons

Bioinformatics Data

Analyze the building blocks of life. Master DNA sequencing analysis, genomic data visualization, and the Biopython library.

Bioinformatics sits at the intersection of biology and computer science. This course introduces the computational tools used to analyze biological data. You will learn to process DNA and RNA sequences, perform pairwise and multiple sequence alignments, and parse standard file formats like FASTA and GenBank using Biopython. We cover the basics of variant calling and visualizing genomic data. Ideal for developers wanting to enter the biotech industry or biologists looking to add coding to their skillset.

100% Free & Lifetime Access
⏱️ 5-Minute Lessons (Bite-sized learning)
🚀 21-Lesson Path (Independent modules)
📱 Mobile Friendly (Learn anywhere)
Bio Team
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Complete Course Syllabus

  • 1
    Sequences & Central Dogma
    DNA, RNA, Protein, and handling strings in Python.
  • 2
    Biopython Basics
    Parsing standard biological file formats effortlessly.
  • 3
    Sequence Alignment
    Comparing sequences to find mutations and homology.
  • 4
    BLAST & Databases
    Querying biological databases for matching sequences.
  • 5
    Visualization
    Plotting genomic data and protein structures.

Estimated completion time: 21 lessons • Self-paced learning • Lifetime access

Career Outlook

Estimated Salary
$100k - $150k

Career Paths

Bioinformatics Scientist $110k-$160k
Computational Biologist $100k-$150k
Genomic Data Analyst $90k-$130k

What You Will Learn

Process DNA and protein sequences using Python scripts
Perform sequence alignments to identify genetic similarities
Parse and manipulate FASTA and GenBank file formats
Visualize genomic data structures and variations
Utilize the Biopython library for standard biological tasks

Skills You Will Gain

Bioinformatics Biopython Genomics Sequence Analysis Data Visualization

Who Is This For

Biologists learning code
Devs entering Biotech
Data Scientists

Prerequisites

Python
Basic Biology

Bioinformatics Data FAQs

Biology degree?

Helpful, but we cover the necessary concepts.

Coding heavy?

Yes, it is data analysis using Python code.

Industry demand?

High demand in pharma and personalized medicine.

Tools cost?

Most bioinformatics tools are open source/free.

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