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Python for Biologists Certificate Course

Attention Biologists! Want to unlock the power of Python to enhance your research and career? Our Python for Biologists Certification Course is the answer you’ve been looking for.

Ratings:

Students Enrolled: 2168

Created By: Ms. Anusha T.A.

Original price was: ₹4,999.Current price is: ₹699.

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This Online Course Includes

  • Certificate of Completion
  • 25 Hours Video Content
  • Lifetime Access
  • Self-Paced Learning

What You'll Learn

  • Introduction to Python
  • Starting with Python
  • Variables
  • Lists
  • Tuples
  • Operators
  • Relational Operators
  • Conditional Statements
  • Loop
  • Loop Statements
  • RegEx
  • File Handling & Operations
  • FASTA
  • CSV File
  • Python Ecxeption
  • FastQ

Who Is This For

Our online course is perfect for professionals who want to advance their career or students who want to learn Python to solve any problem of Life sciences

  • Biological Science, Biotechnology, Microbiology, Molecular Biology and other relevant qualification in the Life Sciences.
  • This course is also suitable for Pharmacy, Agriculture, Medicine, Clinical Research, Computer Science candidates.
  • Research scholar and Ph.D. aspirants passionate and want to learn Python to solve any problem of Life sciences. Science enthusiast interested in Python.

About This Course

Learn the fundamentals of Python in just a few weeks with our comprehensive course designed specifically for biologists. Our expert instructor will guide you through everything you need to know to start applying Python in your research and data analysis.

Don’t let the fear of coding hold you back. Our course is tailored for beginners and no prior programming experience is required. Plus, with our 100% satisfaction guarantee, you have nothing to lose.

Certification

Upon completion of the course, learners will receive a certificate of completion and will be well-prepared to use Python in their research, analysis, and data management tasks.

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

Vishal Sharma

Unlock the Power of Python for Biologists

Enroll in Our Certificate Course Now!

Enroll in our Python for Biologists Certificate Course today and take the first step towards mastering the power of Python for bioinformatics.

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Curriculum

    • 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

Reviews

  1. 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.

  2. Dr. Prasad AndhareApril 4, 2024 at 4:22 PM
    Sound level
    1

    Sound level of speech when teaching is not uniform in this course video.

  3. 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.

  4. Sadiya NayeemJanuary 6, 2024 at 12:18 PM
    Python for biologist
    3

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

  5. Manulaya SinghDecember 13, 2023 at 2:10 AM
    Amazing course
    5

    Beginner friendly and very detailed.

  6. Nakshi ShahNovember 27, 2023 at 8:56 PM
    Nice
    5

    Explaination is good

  7. Tundup NamgailNovember 17, 2023 at 6:33 PM
    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.

  8. Sivani DarlaNovember 11, 2023 at 12:17 PM
    detailed
    4

    it is from the basic and very detailed

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

    It was an amazing course. Learned so many new things

  10. Shivani SalviNovember 4, 2023 at 6:17 PM
    Course completed
    4

    The course was excellent.

  11. HARITHA GOctober 24, 2023 at 3:53 PM
    Good course
    4

    It was a wonderful experience

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

    It was a good course.

  13. Afrin Roofia ASeptember 19, 2023 at 8:29 PM
    python for biologist program
    4

    it helps to improve our knowledge for python using biologist

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

    Learnt Python Basics in a very short span of time.

  15. Syed Taha AsimAugust 18, 2023 at 5:25 PM
    Amazing couse
    4

    The course was very helpful and introduced me to python

  16. Tejal MoonAugust 13, 2023 at 7:24 PM
    Good
    4

    concepts are explained very well

  17. KAVYA SREE A.R.July 16, 2023 at 10:17 PM
    Python for biologists
    5

    This course has been helpful,thank you so much

  18. Manasa RJuly 16, 2023 at 6:09 PM
    Good i have learnt a lot
    5

    I recommend for other to go with this program

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

    just a suggestion please you pycharm for teaching codes

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

    One of the best python course for beginners

  21. Ananya SharmaMay 22, 2023 at 1:31 PM
    Best course
    5

    Amazing course.

  22. Abilesh RMarch 4, 2023 at 2:06 PM
    Thanks Biogrademy
    5

    this course helped me to attain good knowledge about biological coding

  23. Nandhini N JMarch 2, 2023 at 2:43 PM
    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.

  24. Gowri M. BhatFebruary 20, 2023 at 8:33 PM
    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.

  25. VarOctober 29, 2022 at 11:36 AM
    Python for biologists
    4

    Informative course, nicely taught. Thank you.

  26. 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….

  27. Vishal SharmaJune 4, 2022 at 12:51 PM
    Helpful and Informative Course
    5

    Helpful and informative course 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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