Biotecnika Python Course – Why Biologists Should Code?
When we hear of coding, programming, and languages as someone from a bioscience background, we often dismiss it and think of it as not relevant to our field or a domain that is so out of the left-field that as a biologist it has no relevance.
But this was the story a decade ago, off late there is an emergence of interdisciplinary sciences and the immense benefits it has in present-day research.
IT-BT is now the reality.
So why has this term taken over the biosciences domain off late? Well, we have all heard the term Big Data – which simply put is a humongous amount of data and information which needs to be stored and analyzed in a short time to aid research. So what better than a machine to do these analyses?
Now with the advance of Bioinformatics in research, it has become evident how learning to code or a programming language is slowly becoming indispensable. If you have been a keen observer of the Biotecnika Job section, then you would have seen therecent uptick in the amount of Bioinformatics jobs posted and also the necessity of being certified in a or multiple programming languages.
The university curriculums are yet to catch on, so you are at the right place and the right time to start your journey in Coding & Programming for Biologists. So before we begin let’s look at what coding is – It is a subset of programming where you translate human language to machine language with the help of codes. Whereas programming is developing an entire fully functional software program that helps solve all your queries.
So in this context, it is extremely clear why we need to learn programming as biologists in order to help process large amounts of data in shorter time spans and lead to greater discoveries.
Some programming languages that we often come across are
- C, C++
- Perl etc
Some more are MATLab, Ruby, Bash, etc.
But which among these are the ones Biologists should learn?
Python is considered a fan favorite because of a few simple reasons
a. It’s beginner-friendly
b. It’s open-source
c. It’s most widely preferred and used across the world
d. Easier learning curve
e. Compatible with already existing tools
Choosing a language to learn is also dependant on what kind of research work you are currently pursuing or thinking of dipping your toes into. It also depends on the labs that you are working/ planning to work at, the PI/Guide or supervisor you are working under, etc. However, Python is what is most preferred by the biosciences field in general.
Why must I learn Python and when should I begin?
The short answer is right away! If you have just completed your plus 2 levels, are in an undergraduate program, postgraduate, or even doctoral program – you can learn it at whatever stage you are in presently.
What learning Python does is give you a leg up in your career ladder. You may think it’s too early to learn or even too late, well it is not. You are at the sweet spot where though it is not being mandated, it has been seen that applicants with prior knowledge of programming languages are faring better in the industry and research domains.
Why learn a programming language though? Are you really looking forward to manually analyzing large volumes of data and making numerous calculations? Why not automate all of these by just developing a program! Building and developing your own programs will help analyze all of your research data in a much more efficient, accurate, cost-effective, and time-saving manner.
Learning a programming language is a mode of upskilling yourself and making yourself more marketable. A quick google search shows how many jobs are posted at the undergraduate level itself where programming skills are a necessity.
We are all riding the waves of the digital age now and it is time we incorporate the benefits of this into the field of biosciences. Learning a programming language helps meet the requirements of the industry, your research lab, PI and even throws open doors for opportunities wherein you have a significant edge over the competition. It not only looks good on your resume but you will be miles ahead when your peers are still catching on.
Still not convinced? Let’s take a look at some of the applications of Python
- Working with Big Data – as your research develops and progresses, you accumulate a large volume of data that needs to be processed, so that is when programming comes into the picture.
- A major application of Python or programming is in genome sequencing. In combination with NGS and programming, we can align specific sequences, draw comparisons and parallels. Look at entire genomes, certain proteins, or RNA & DNA, the possibilities are endless.
- It also has applications in analyzing an entire species of organisms, we can use it in some instances of statistics, phylogenetics, mass spec, etc.
- Additional applications in Healthcare and Data Science. This is a growing field which is something you can consider.
So where can you learn Python basics?
Who is eligible?
YOU, reading this are eligible. Seriously this course is designed for students, teachers, researchers, industry professionals, and biosciences enthusiasts alike.
What is needed to begin the course?
- A stable internet connection.
- The Biotecnika Official App.
- Passion for learning.
- Knowledge of a few commonly used terms.
Some perks of the Biotecnika Python Course
- Interact LIVE with the experts.
- You can evaluate your progress.
- You can write an exam, qualify and get a certificate.
- If you miss a live session, you can access the recording, but nothing beats the LIVE experience.
So what are you waiting for? ENROL for Biotecnika Python Basics Certification Course Today!