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)

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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