Top Bioinformatics Courses On Udemy Everyone Should Learn

    Top Bioinformatics Courses On Udemy Everyone Should Learn

    Bioinformatics is an interdisciplinary area that develops biological data methods and software tools, particularly where the data sets are large and complex. Bioinformatics incorporates biology, informatics, information technology, statistics and stats as an interdisciplinary area for the study and interpretation of biological knowledge. For biological inquiries using quantitative and computational methods, biological informatics has been used.

    Students & Researchers are always excited to pursue something that could nourish their knowledge and help them learn new things everyday and atleast ensure they are up to date with latest methods and technologies.

    Top Bioinformatics Courses On Udemy Everyone Should Learn

    Udemy is one of the best online programs available in the market and helps people to go through various topics which are usually not thought about or are hard to find in general. Here in this article, we will help you with the best Bioinformatics Courses available on Udemy for students and researchers.

    Top Bioinformatics Courses On Udemy Everyone Should Learn

    1. Structural Bioinformatics Basics

    What you’ll learn

    • What is structural bioinformatics?

    • What is a protein structure and what are different levels of protein structures?
    • What are the structural databases?
    • What are the different representations of a protein and how to visualize a protein molecule?
    • How to download and visualize a protein molecule.
    • What are some of the applications of structural bioinformatics?


    • Should have a basic understanding of molecular biology and bioinformatics.
    • A Windows/Linux Desktop/Laptop


    In this course, you will learn what is structural bioinformatics all about and get an introduction of all the major areas of structural bioinformatics. Structural Bioinformatics is an interdisciplinary field that deals with the three-dimensional structures of bio-molecules. It attempts to model and discover the basic principles underlying biological machinery at the molecular level. It is based on the assumption that 3D structural information of a biological system is the core to understanding its mechanism of action and function. Structural bioinformatics combines applications of physical and chemical principles with algorithms from computational science. Who this course is for:

    • Those who are fascinated by structural biology and are intrigued to know how molecules in a living organism function at an atomic level.

    Top Bioinformatics Courses On Udemy Everyone Should Learn

    2. Learn Bioinformatics in 6 Days

    What you’ll learn

    • Integrate biological concepts with information technologies to study the biological system.
    • Apply the theoretical and computational methodologies relevant to the mining of information from large datasets of biological origin.
    • Combine theory and practice to solve research problems in bioinformatics, genomics and proteomics.
    • Manipulate data on a computer and understand the algorithms that underlie the analysis tools that are used for essential research tasks.


    • An interest in learning Bioinformatics and maintaining the same interest constantly throughout the period of study.
    • Knowledge in molecular biology, basic genetics and other life science-related courses would be an advantage but not necessary.
    • Some chapters require you to download and install certain software for the analysis tutorial. You need to have at least a personal laptop or a desktop with a minimum 4GiB RAM and enough storage capacity for data storing.
    • Good qualitative (semantic) and quantitative (mathematics/statistics) reasoning.


    It’s WORTH your money! This program runs through 6 chapters. This is a self-paced course that suits your own daily busy schedules. Self-paced gives you the freedom to complete each topic based on your own available time before proceeding to the next chapter without hurry. Basically, I will teach about 6 fundamental topics in Bioinformatics to you. Just to let you know, I don’t intend to cover a basic programming class here. Udemy has a lot of great programming courses that can be applied in Bioinformatics settings. So please well equip yourself with at least Python, Perl, PHP, Java, SQL and R programming. That will really help you to take off faster as a Bioinformatician in the near future. In 6 days you will learn through video lectures and tutorials about:

    Day 1 – Introduction to Bioinformatics

    • We will start this course with a brief definition of Bioinformatics – what exactly it constitutes of, and the importance of this field in the scientific world. Also, I will share with you the history of how Bioinformatics came into being – the reason why it was coined.

    Day 2 – Bioinformatics Databases

    • One of the reasons why Bioinformatics exists is due to the increased amount of biological datasets. These are huge scientific research outputs that need to be managed. In this chapter, you will learn first of all how data is stored and manipulated. Subsequently, I will begin to introduce to you about nucleotide databases. Bioinformatics is all about managing data and providing scientific knowledge. In this chapter, we will also focus on protein databases. These two types of databases complement each other and both are important for your studies. An example of a database that we will be covering here is UniProt.

    Day 3 – Sequence Alignment

    • This is one of my favourite chapters. Have you ever wonder how two sequences are being compared using two different sequence alignment algorithms? Think about aligning 100 DNA sequences at one time – is there a way to perform the multiple sequence alignment? In this chapter I will teach you how to perform Global and Local sequence alignments – it’s all about basic concepts of scoring matrices. Let’s get serious with Bioinformatics from here onward!

    Day 4 – BLAST programs

    • Yeaps! Also my favourite! I will teach you how to perform a Local sequence alignment using a Bioinformatics tool known as BLAST (Basic Local Alignment  Search Tool). We will look into both nucleotide and protein sequence BLAST programs and learn how to read and interpret BLAST results in-details.

    Day 5 – Molecular Phylogenetics

    • Let’s get straight to the point. You are uniquely different and special! If you are a big fan of X-Men and other Sci-Fi Hollywood movies talking about aliens, superhuman, a man with extraordinary powers, or even just about how diversified we are – this is the time to pay attention to this module. I will teach you about how species is identified and classified using genetic data. To do that we will also be looking into several types of phylogeny analysis algorithms and construct a tree of life from a specific set of sequences. Don’t skip this session!

    Day 6 – Genome Analysis

    • In this module, you will learn about a genome. We will look closely into both structural and comparative genomics. The detail parts begin with the sequencing technologies and followed with genome assembly and annotation.

    I have prepared several sets of quizzes and assignments for you to solve. Based on previous experiences with other students, I am aware that some of you might need a one-to-one discussion therefore you are welcome to request an online meeting/discussion session with me. Just to help you progress in this course. By the way, the first chapter is F.O.C. for preview! Register now to start learning about what Bioinformatics can do to help you, be it in research routines or for career development or simply just for personal interest. You have lifetime access to this course and the course materials will be updated periodically. Do check for updates from time to time.
    Who this course is for:

    • Anyone who wants to learn Bioinformatics.

    Top Bioinformatics Courses On Udemy Everyone Should Learn

    3. Bioinformatics with Python

    What you’ll learn

    • Bioinformatics using Python
    • Learn Biopython and Scikit-bio
    • Sequence Analysis and Sequence Alignments
    • Write Custom Functions For DNA Sequence analysis and Protein Synthesis
    • Create Our Own Bioinformatics Python Package using Poetry


    • Basic Understanding of Biology and Bioinformatics
    • Basics of Python Programming
    • Willingness to learn


    Do you know that the human genomic sequence if printed out in a normal text font, would stretch for 5000 km, which is like the distance from London to Montreal, Los Angeles to Panama, Accra to Cape Town,  Tokyo to Calcutta.

    This same sequence would fill about 3000 books the size of a normal book.

    Understanding and analyzing this sequence is clearly going to be a huge task.

    But with the advent of powerful tools and databases, we can be able to grab a simple understanding of some aspect of it.

    In this introductory course, we will explore the various Python tools and libraries used in analyzing DNA, RNA and genome sequence.

    Hence if you are interested in analyzing the large sum of biological data or are curious about DNA sequence, protein synthesis, and how vaccines are designed. Then this course is for you.

    Whether you are a student or a researcher, data scientist or bioinformatics engineer,computational biologist, this course will serve as a helpful guide when doing bioinformatics in Python.

    We will be exploring bioinformatics with BioPython, Biotite, Scikit-Bio, BioJulia and more.

    Data is everywhere, biological data is in every living organism.Let us analyse it for useful insights

    We will learn

    • how to do sequence analysis with BioPython, Biotite, etc
    • how to perform sequence alignment with code.
    • how to create our own custom functions for analyzing DNA, RNA and Proteins.
    • how to do some bioinformatics with Python.
    • how to analyze the DNA sequence of COVID 19, MERS and more.

    NOTE: This is an introductory course structured like a reference material for anyone interested in doing bioinformatics with python.

    Join us as we explore the world of biological data with PythonWho this course is for:

    • Beginner Python Programmers curious about doing Bioinformatics with programming
    • Students and Researchers
    • Beginners to Bioinformatics, Computational Biology and Genomics

    Top Bioinformatics Courses On Udemy Everyone Should Learn

    4. Genetics and Next Generation Sequencing for Bioinformatics

    What you’ll learn

    • Foundation in DNA, RNA, and Genetics
    • Use cloud-based platform Galaxy to analyze large sequencing datasets
    • Recent advances in DNA sequencing technology
    • Assess the quality of raw data
    • Applications in Personalized Cancer Therapy and Disease Research
    • Use FastQC and Trimmomatic to improve data quality


    • Biology and Chemistry at a high school 10th-grade level
    • Elementary Statistics such as interpreting charts, histograms, and box-and-whisker plots
    • You must enjoy Biology


    Do you want to enter the field of Bioinformatics, but don’t know enough about DNA, RNA, and Genetics?

    Are you curious about the recent advances in DNA sequencing technology, and how it can be applied to Personalized Cancer Therapy and Disease Research?

    Do you want to use Bioinformatics tools to analyze data generated by Next Generation Sequencing?

    By the end of this course:

    • You will have a strong foundation in DNA, RNA, and Genetics
    • You will have a thorough understanding of Next Generation DNA Sequencing Analysis
    • You will use a cloud-based platform called Galaxy for the analysis of large datasets
    • You will assess the quality of raw data
    • You will use FastQC and Trimmomatic to improve data quality

    This course is a starting point in NGS. It covers Biology prerequisites and quality control. Future courses will cover data analysis in more detail.


    This course includes a step-by-step guided project.

    This project will assess the quality of raw data from an Illumina sequencer.

    You will then use FastQC and Trimmomatic to improve the quality of this data.


    • Biology and Chemistry at a high school 10th-grade level
    • Elementary Statistics such as interpreting charts, histograms, and box-and-whisker plots
    • You must enjoy Biology

    This is an introductory course ideal for those with no prior experience in Next Generation Sequencing Analysis.

    Enrol today, and launch your career in Bioinformatics. Who this course is for:

    • Software professionals entering Bioinformatics

    5. Learn Biopython: Preliminary Step Toward Bioinformatics

    What you’ll learn


    This course gives you an introduction to Python, where we covered the basics of the language, including:

    1. Basic syntax,
    2. Variable types,
    3. Basic operators,
    4. Decision making, and
    5. Loops.

    Then to the stage where Python is used to explore biopython codes, and then combine them to perform routine bioinformatics tasks, and that includes:

    1. Searching and obtaining data from NCBI databases through the internet connection,
    2. Dealing with sequence files like reading, writing, and converting,
    3. Dealing with sequences like manipulation and analysis,
    4. Performing pairwise sequence alignment (global and local),
    5. Performing multiple sequence alignment (MSA), and Dealing with MSA and Newick format file, and
    6. Finally, performing BLAST online and offline then parsing the results.

    Who this course is for:

    • Students and researchers dealing with DNA, RNA, or protein sequences

    6. Basics of Computer-Aided Drug Discovery Part-I

    What you’ll learn

    • Introduction to Computer Aided Drug Discovery
    • Introduction to databases like PDB, PubChem and ZINC database
    • How to visualize protein and ligands in Biovia Discovery Studio and MGLtools
    • How to prepare files for docking studies
    • How to execute molecular docking
    • How to analyze the docking output results
    • How to generate publication quality figures from the docking output


    • Basic knowledge of computers applications and Internet access


    A perfect course for Bachelors / Masters / PhD students who are getting started into Drug Discovery research. This course is specially designed keeping in view of beginner level knowledge on computational drug discovery applications for science students. By the end of this course, participants will be equipped with the basic knowledge required to navigate their drug discovery project making use of the biological databases and computational tools.Who this course is for:

    • Bachelors or Masters degree or PhD scholar of Pharmaceutical Sciences, Biochemistry, Biotechnology, Chemistry or related who are into drug discovery research will benefit most of this course.

    Top Bioinformatics Courses On Udemy Everyone Should Learn


    Rajat Singh
    A Bioinformatics Masters degree from the G.N Khalsa Science and Commerce College (Mumbai). Blogger by choice and an enthusiastic person with a technical background and passion.

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