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9 Best Online Bioinformatics Courses & Certification of 2020

Bioinformatics Courses

Students with so many Bioinformatics courses find it extremely difficult to meet their needs. Learners often ask if there is a Bioinformatics course for each case. The response is YES. Below are popular courses available. Registering for the right course is an important factor in your career progression. In this article, the best Bioinformatics courses were selected by experts in 2020.

The main aim is to illustrate the best known courses in every category.

Select one that best suits your needs, based on your preference.

However, let’s look at the best Bioinformatics courses on the market.

1. Finding Hidden Messages in DNA (Bioinformatics I) (Coursera)

Duration: 14 hours, 4 to 10 hours per week

Rating: 4.7 out of 5

This tutorial is among the best options to explain the computational power of modern biology. In the first half, you learn about the process of DNA replication with some simple algorithms. After this work, random algorithms are used to answer more complicated questions. Finally, finish the classes by dirtying your hand and using the existing software and tools to find recurring motives in the genes.

Key Highlights:

  • The lectures will direct you through all the subjects required to properly install and operate the tool.
  • Teachers provide tips and guidance on best practice and explanation of doubts.
  • To find responses with some of the most critical and frequently asked questions, use the algorithms mentioned in the lectures.
  • Complete all the evaluations to earn a badge for completing the course.

You can Sign up Here 

2. Genomic Data Science by John Hopkins University (Coursera)

Duration: 7 months, 6 hours per week

Rating: 4.4 out of 5

If you’d like to build a career in genome technology, this sequence of programs is one of the top contenders. In the intermediate level classes, you will explore the concepts and instruments necessary for the understanding, analysis and interpretation of data from experiments of the next generation. The lessons demonstrate how to use the most common tools, including control line, R, Galaxy, Bioconductor and Python. End the lectures with a project capstone that will allow you to use the topics covered by the lectures. You may also want to try out Python Courses here.

Key Highlights:

  • All of the basic concepts in this subject are covered in all 8 sections one by one at a good pace.
  • Explore computational methods including algorithms and data structures needed for DNA sequence data analysis.
  • Using a specific dataset in the capstone project to evaluate and write a report on your results.
  • Regular quizzes and tasks give you an opportunity to monitor and improve your progress on the concepts covered.
  • Biology and computer principles are well incorporated and easily understood.
  • You will obtain your completion certificate after completion of all the graded assignments and evaluations.

You can Sign up Here

3. Bioinformatics Micromasters Certification by University of Maryland (edX)

Duration: 3 courses, 8 weeks per course, 8 to 10 hours per week

Rating: 4.6 out of 5

This edX Micro Masters will explain how DNA sequences are analyzed to detect defects, mutations, understand the function of protein structure and use statistical analysis methods to mine biological big data through the different topics covered. Get involved and learn with shows and interactive lessons. At the end of the classes, you should have a comprehensive understanding of the applicable methods and concepts and confidence in advanced courses.

Key Highlights:

  • Learn how to produce the protein model structure and understand its functionality.
  • Use fundamental R programming to analyze and gain insight into biological data.
  • Each topic is dealt with in detail with proper examples of demonstrations.
  • Learn to apply R environmental packages to solve traditional bioinformatics problems.
  • Discover the principle behind the algorithms that make it possible to combine DNA / RNA and protein sequence.

You can Sign up Here

4. Bioinformatics Certification Course by UC San Diego (Coursera)

Duration: 21 weeks, 3 to 10 hours per week

Rating : 4.7 out of 5

You can answer modern biology questions answered using analytical methods via this specialization. In addition, you will get an existing software resource toolkit, which is built on these computational methods that are used by many biologists each day. While programming is not mandatory, there is an optional Honors Track that allows you to implement the various algorithms and develop your portfolio further.

Key Highlights:

  • This software lets you create from scratch a firm framework for concepts.
  • Even without coding knowledge, it can be taken by anyone. The software has optional classes to start with the programming needed for this area.
  • The teacher describes the topics clearly and with relevant examples at a reasonable pace.
  • The interactive lessons help you gain an understanding of the subjects and tasks that allow you to measure your grasp of the knowledge.
  • The final capstone project helps you to use the cloud platform BaseSpace to introduce some common solutions to biological real data in the bioinformatics field.

You can Sign up Here 

5. Bioinformatic Methods I by University of Toronto (Coursera)

Duration:  13 hours

Rating: 4.7 out of 5

This course enables you to use existing bioinformatics tools such as web-based programs and databases to address practical questions. Some of the main subjects included numerous sequence alignments, phylogenetics, data analysis of gene expression and a network of protein interactions. One of the benefits of this program is that no prior experience with programming is required to start. You might also be interested in looking at our machine learning collection here.

Key Highlights:

  • Tons of practical tasks to apply the concepts covered by the videos.
  • Well organized content and parts are clearly separated, making it simple to follow.
  • Learn with flexible time limits at your own pace.
  • Learn tips and tricks that simplify and effectively use resources.

You can Sign up Here

6. Bioinformatics: Introduction and Methods by Peking University (Coursera)

Duration: 20 hours, 1 to 2 hours per week

Rating: 4.7 out of 5

This MOOC brings you to this exciting interdisciplinary field with its concepts and computing methods. The curriculum is designed to allow you to work on the implementation of this field in biology. In addition , the knowledge you have gained will help you in future research and study.

Key Highlights:

  • Start by introducing the importance and history of this area.
  • Work with sequence alignment algorithms based on dynamic programming.
  • Tentative the questionnaires that accompany the lectures and test your comprehension of the theory.
  • Get complete guidance on practical courses by interacting with your peers and the teacher and overcome doubts.

You can Sign up Here 

7. Bioinformatics for Beginners by UC San Diego (Coursera)

Duration: 4 weeks

Rating: 4.5 out of 5

If you seek to get started with a bioinformatics career, this course can be useful. The lessons in this program, mainly aimed at newcomers, will cover algorithms to find solutions to various biological problems and a handful of programming challenges. These challenges help you use Python to implement these algorithms. The objective of these courses is to provide you with a solid basis and to prepare you for advanced expertise in this field.

Key Highlights:

  • An immersive textbook gives you problems with coding, which come from real biological problems.
  • The lessons cover each concept in an elaborate manner at a perfect pace.
  • The complete set of lectures are divided into relevant parts, making it easy for beginners to follow.
  • Biology and computer concepts are well integrated and easily understood.
  • Regular quizzes and tasks provide you with the opportunity to monitor and improve your progress on the concepts covered.
  • The lectures and materials for research are available for free and qualification for a nominal fee can be used.

You can Sign up Here

8. Computational Biology (MIT Open Courseware)

Duration: Self-paced

Rating : 4.5 out of 5

Modern biology has changed a lot and this course will help you explore some of the innovations that are behind. Cover the basis of algorithmic and computer biology system instruction. The foundational issues, as well as current research boundaries, are examined with equal emphasis on both theoretical and practical aspects. This curriculum provides you with the ability to work with current large-scale datasets.

Key Highlights:

  • Understand various algorithms with a lecturer’s detailed explanation.
  • The videos present a brief description of the content that will be included in the opening lectures.
  • A list of books and tools will complement the research.
  • Work on tasks and solve actual challenges through the use of current data sets.
  • The training is divided into several parts, along with other loans and accompanying questionnaires.

You can Sign up Here 

9. Bioinformatics Certificate (Harvard Extension School)

Duration: The certification should be completed within 3 years (Graduate Credit)

Rating : 4.5 out of 5

This curriculum has been developed to assist you in the identification, analysis, analysis and communication of complex genetic and biological data for diseases research, genome analysis, drug development etc. Creating and analyzing data sets with the latest tools and software for gaining relevant information. Develop the needed programming language skills and find solutions based on data sets from the real world. You are ready for a career in medical science and research, molecular and cell biology, scientific programming, development and more by obtaining this certification.

Key Highlights:

  • The classes are conceived by contests and demonstrations, which enrich it.
  • The lessons direct and familiarize you with the system through each related topic including the installation process for the tools and software.
  • For this program of four courses, no application process is required.
  • Certification can be obtained at a low cost.
  • Acquire expertise on focused topics, including genomics, medical IT, proteomics.

You can Sign up Here

Wrapping Up

This is the list of the 9 Best Online Bioinformatics Courses & Certification of 2020. They are popular and loved by many experienced Bioinformatics learners. You will find between these courses what you need to learn in order to continue your Bioinformatics learning journey.

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