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Python for Biologists Certificate Course

Get certified with this beginner-friendly, self-paced course designed specifically for biology, biotech, and medical students.
No prior programming experience required.

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Students Enrolled: 2168

Created By: Ms. Anusha T.A.

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Original price was: ₹6,990.Current price is: ₹799.
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This Online Course Includes

Vishal Sharma

Helpful and informative course for beginners in Python programming. Detailed and structured program for anyone to learn bioinformatics using Python programming.

Why Learn Python as a Biologist?

Python is the most in-demand programming language in the life sciences. Whether you’re working with lab data, doing bioinformatics, or applying for research positions — Python gives you a huge edge.

This course teaches you everything from scratch. No tech background? No problem.

Course Overview

Python for Biologists: Certificate Course is a step-by-step program that helps you master Python for biological data and research workflows. You’ll go from total beginner to confidently using Python in scientific work.

The course is 100% online, self-paced, and designed specifically for students, researchers, and professionals in biology and related fields.

Who This Course Is For

This course is ideal for:

✅ Designed for total beginners. No programming knowledge required.

By the End, You’ll Be Able To:

Course Topics Covered

Certificate of Completion

Upon completing the Python for Biologists: Certificate Course, you’ll receive a digital certificate you can add to your CV, LinkedIn, or grad school application.

Helpful and informative course for beginners in Python programming. Detailed and structured program for anyone to learn bioinformatics using Python programming.

Vishal Sharma

Curriculum

Learn Python for Biology — No Coding Experience Needed
🧬 Master real data analysis, automate research tasks & boost your career with a certified, beginner-friendly course.

🕒 Limited Seats Left |💡 Instant access | 🔒 Secure checkout

    • 1.1 Significance of Programming Language in Biological Science 00:06:00
    • 1.2 What is Programming Language 00:14:00
    • 1.3 Overview of Python as Programming Language 00:12:00
    • 2.1 Installing Python 00:13:00
    • 2.2 Basic Syntax for Python Language 00:19:00
    • 2.3 Indentation in Python 00:07:00
    • 2.4 Practical 1 (DIY 1) 00:04:00
    • 3.1 Variables 00:07:00
    • 3.2 Assigning values to Variables 00:10:00
    • 3.3 Variable Data Types 00:10:00
    • 3.4 Input () Fuction 00:07:00
    • 3.5 String 00:07:00
    • 3.6 Practical 2 (DIY 2) 00:07:00
    • 4.1 Lists 00:14:00
    • 4.2 Accessing Values in Lists 00:12:00
    • 4.3 Basic Operations in List 00:11:00
    • 5.1 Tuples & Basic operations 00:06:00
    • 5.2 Dictionary 00:15:00
    • 6.1 Types of Operators (Arithmatic)- Part 1 00:17:00
    • 6.2 Types of Operators (Arithmatic)- Part 2 00:05:00
    • 6.3 Practical 4 (DIY 4) 00:10:00
    • 7.1 Types of Operators (Relational) 00:11:00
    • 7.2 Types of Operators (Assignment) 00:07:00
    • 7.3 Types of Operators (Logical & Membership) 00:13:00
    • 7.4 Types of Operators (Identity) 00:03:00
    • 8.1 Conditional Statements in Python (if) 00:24:00
    • 8.2 Conditional Statements in Python (if-elif-else ladder) 00:13:00
    • 9.1 Python Loop 00:10:00
    • 9.2 Python For Loop 00:19:00
    • 9.3 The Continue Statement 00:06:00
    • 9.4 The range () function 00:06:00
    • 10.1 Else in For Loop 00:07:00
    • 10.2 Nested Loop 00:08:00
    • 10.3 Nested Loop 00:16:00
    • 11.1 Even & odd Numbers 00:21:00
    • 11.2 Percentage Calculation 00:14:00
    • 12.1 Factorial of the given number 00:43:00
    • 12.2 Palindrome Sequence 00:26:00
    • 13.1 Functions 00:17:00
    • 13.2 Divisibility 00:06:00
    • 14.1 Counting Hydrophobic Amino Acids in a Protein Sequence 00:18:00
    • 14.2 Counting Hydrophilic Amino Acids in a Protein Sequence 00:07:00
    • 15.1 Remove Spaces from given string 00:07:00
    • 15.2 Convert DNA seq to RNA Seq; Convert String to List 00:07:00
    • 15.3 Presence of Motif 00:17:00
    • 15.4 Melting Temperature of DNA seq 00:12:00
    • 16.1 Print the characters of the 2nd string not in 1st string 00:17:00
    • 16.2 Accept 2 strings and print the common characters 00:15:00
    • 17.1 Slice Operation; Check whether the first & last character of a string are equal 00:05:00
    • 17.2 Check whether the given sequence is a palindrome or not 00:04:00
    • 17.3 Python string rjust() method 00:04:00
    • 17.4 Practical Questions 00:02:00
    • 17.5 Practical Demo 00:17:00
    • 18.1 Check the presence of particular element in a list 00:07:00
    • 18.2 Random Module; Use of choice() method 00:11:00
    • 18.3 Join() function; Join list elements with a character 00:05:00
    • 18.4 Practical 00:22:00
    • 19.1 List Operations 00:07:00
    • 19.2 Practical 00:11:00
    • 19.3 Practical 00:07:00
    • 20.1 Practical 00:19:00
    • 20.2 Practical 00:11:00
    • 21.1 Applications & Operations of Dictionary 00:44:00
    • 21.2 Practical 00:08:00
    • 21.3 Practical 00:21:00
    • 21.4 Practical 00:11:00
    • 22.1 Regular Expression & Example 00:11:00
    • 22.2 Matching Characters 00:11:00
    • 22.3 Metacharacters & Functions 00:20:00
    • 22.4 Repeating Things 00:16:00
    • 23.1 RegEx Functions 00:45:00
    • 23.2 Python Functions & Types, Creating & Calling a function 00:13:00
    • 23.3 Arguments 00:13:00
    • 23.4 Default Parameter Value 00:20:00
    • 23.5 Menu Driven Programs in Python 00:51:00
    • 24.1 File Handling 00:20:00
    • 24.2 File Operation Methods 00:23:00
    • 25.1 FASTA Format 00:08:00
    • 25.2 Python File Methods 00:39:00
    • 26.1 Writing a script to read the data from a text file 00:20:00
    • 26.2 Read the DNA from Text file & process its codons 00:16:00
    • 26.3 Write a script to enter the name, age, phone number of 5 people & write it to file 00:15:00
    • 26.4 Program to read a FASTA file & write the sequence in a in single line in another file 00:12:00
    • 27.1 Writing a script to count the number of lines in a file 00:14:00
    • 27.2 Writing a script to read FASTA file & assign the data to the dictionary 00:11:00
    • 27.3 Writing a script to count the number of BPs-Aas in the sequence from a FASTA file & write the header with corresponding number 00:11:00
    • 27.4 Python Program to count the number of hydrophobic & hydrophilic AAs in the given sequence 00:11:00
    • 28.1 Python Script to calculate the melting temperature of primer from the file 00:29:00
    • 28.2 Python Script to read the data from the file and write the N-terminal 15 sequence into another file with its header 00:10:00
    • 28.3 Python Script to read the protein file and write the C-terminal 15 sequence into another file 00:14:00
    • 28.4 Python program to find average of numbers in 2 columns in csv file 00:15:00
    • 29.1 Program to fetch the gene symbol & gene ID data from the FASTA file & write those data on 2 different text files 00:15:00
    • 29.2 Sript to write the FASTA sequences into the file with less than 500 AA length sequence & greater than 15 ength sequence 00:13:00
    • 29.3 To convert DNA into Protein Sequence 00:19:00
    • 29.4 Python Script to count repetitive sequence in the given file 00:13:00
    • 29.5 Python scrip to demonstrate Ncil restriction enzyme function 00:10:00
    • 30.1 Python Script to read the protein FASTA file & check the presence of motif in the protein sequence 00:14:00
    • 30.2 Python Script to read nucleotide FASTA file, convert a DNA into RNA & convert RNA into cDNA 00:19:00
    • 30.3 User defined functions to calculate the GC content & melting temperature of Primers 00:14:00
    • 30.4 User defined function to convert the DNA into RNA and protein sequence 00:20:00
    • 31.1 CSV File & Reading 00:26:00
    • 31.2 CSV File & Writing 00:12:00
    • 31.3 With statement in Python 00:04:00
    • 31.4 Writing a Dictionary to a CSV File 00:10:00
    • 32.1 Python Ecxeption Handling 00:17:00
    • 32.2 Catching Specific Exception 00:12:00
    • 32.3 Finally 00:05:00
    • 32.4 Raise an exception 00:08:00
    • 33.1 Reading Frames 00:08:00
    • 33.2 To convert DNA into Protien sequence and amino acid sequence 00:37:00
    • 34.1 Translate DNA sequence into protein sequence 00:37:00
    • 35.1 FastQ Files 00:06:00
    • 35.2 Python script to edit FastQ files 00:09:00
    • 35.3 Charged Amino Acids 00:02:00
    • 35.4 Script for calculating netcharge on protien 00:36:00

Learn Python for Biology — No Coding Experience Needed
🧬 Master real data analysis, automate research tasks & boost your career with a certified, beginner-friendly course.

🕒 Limited Seats Left |💡 Instant access | 🔒 Secure checkout

Reviews

4.6

4.6
37 ratings
  • 5 stars24
  • 4 stars10
  • 3 stars3
  • 2 stars0
  • 1 stars0
  1. Sindhana SubramanianDecember 10, 2025 at 8:23 PM
    Python for Biologists Program
    4

    The course contents were nice and explained well

  2. Video Quality
    3

    The quality of videos have gone down so much that the codes are barely visible

  3. Python for biologists
    3

    it was a good course , and I got a basic understanding towards python program, Thank You Biogrademy

  4. MD Faishal SiddiquiOctober 13, 2025 at 3:51 AM
    Good
    5

    Good very knowledgable

  5. A treat for Begineers
    4

    Great course for begineers builds strong foundation

  6. Excellent Course for getting knowledge regarding the subject
    5

    Thank you all

  7. Excellent
    5

    Very good course

  8. Python for biologists
    5

    good and well explained

  9. The concepts in biology were explained well using python
    5

    The explanation was clear and helped to learn problem solving for biological problems.

  10. Abarna AmmaiyappanJune 1, 2024 at 8:38 PM
    Excellent
    5

    it’s very easily understanding way of my knowledge thank you for this opportunity

  11. Danthuluri Swarna sriMay 27, 2024 at 9:59 AM
    outstanding
    5

    good explanation

  12. Janakipriya U KApril 6, 2024 at 4:00 PM
    Python for Biologist- excellent course providing basics and how to use in biology
    5

    The course is excellent making me practice with the basics of Python and I know how to utilize Python in biology as a biologist.

  13. Carmel Keerthana LFebruary 7, 2024 at 10:51 PM
    Amazing course
    5

    It was very constructive to understand the logic behind Python language and toapply the same as a biotechnologist.

  14. Python for biologist
    3

    the overall course structure is very good. it is good for the students at beginners level

  15. Amazing course
    5

    Beginner friendly and very detailed.

  16. Nice
    5

    Explaination is good

  17. Good for begginner, can be more structured
    4

    The course is good for begginner. But bit lengthy. The topics can be more organised and structured as practical portions are kept at after the basics. If go together, will be more helpful.

  18. detailed
    4

    it is from the basic and very detailed

  19. Disha ChakrabartyNovember 8, 2023 at 2:00 PM
    Amazing course
    5

    It was an amazing course. Learned so many new things

  20. Course completed
    4

    The course was excellent.

  21. Good course
    4

    It was a wonderful experience

  22. Apeksha Arun BhandarkarOctober 14, 2023 at 11:20 AM
    Python for Biologists Program
    5

    It was a good course.

  23. python for biologist program
    4

    it helps to improve our knowledge for python using biologist

  24. Pundarikaksha DasAugust 31, 2023 at 10:28 AM
    Very Informative
    5

    Learnt Python Basics in a very short span of time.

  25. Amazing couse
    4

    The course was very helpful and introduced me to python

  26. Good
    4

    concepts are explained very well

  27. Python for biologists
    5

    This course has been helpful,thank you so much

  28. Good i have learnt a lot
    5

    I recommend for other to go with this program

  29. Suryansh ShrivastavaJuly 16, 2023 at 2:43 PM
    Amazing course
    5

    just a suggestion please you pycharm for teaching codes

  30. Vaishnavi KatkarMay 28, 2023 at 3:19 PM
    Best course
    5

    One of the best python course for beginners

  31. Best course
    5

    Amazing course.

  32. Thanks Biogrademy
    5

    this course helped me to attain good knowledge about biological coding

  33. Instructor was very good in explaining the concepts
    5

    Instructor was very good in explaining the concepts but the last program was closed incomplete. It will be of great help if that can be provided.

  34. Well structured and detailed
    5

    The course is well paced and detailed to the point it explains every error and every coding used. easy to understand.

  35. Python for biologists
    4

    Informative course, nicely taught. Thank you.

  36. Yusara Anjum Shakil Ahmad ShaikhSeptember 27, 2022 at 7:12 PM
    One of the best Course
    5

    I’m thankful to biogrademy to this course , this course are very useful for our career in bioinformatics, or biotechnology students….

  37. Helpful and Informative Course
    5

    Helpful and informative program for beginners in Python programming. Detailed and structured program for anyone to learn bioinformatics using Python programming.

Helpful and informative course for beginners in Python programming. Detailed and structured program for anyone to learn bioinformatics using Python programming.

Vishal Sharma

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