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What you will learn

  • Learn the basic syntax of Python language quickly and easily
  • Implement the main Python language operators: mathematical, logical, relational and conditional
  • Create loop structures using for and while commands
  • Implement functions for modularization of programs
  • Implement the main Python language collections: tuples, lists, dictionaries, sets and arrays
  • Manipulate text files
  • Perform error and exception handling
  • Learn the basic intuition and practice about regular expressions
  • Learn the basic intuition and practice of Object Orientation
  • Estimate the rate of recombination between genes
  • Analyze genetic sequences
  • Model bacterial growth
  • Write a code that simulates a biology test, where at the end the grade is calculated
  • Analyze gene sequence files directly from databases in .fasta format
  • Analyze protein structure files in .pdb format
  • Build a basic identification key for plant species

Requirements

  • Programming logic
  • Basic biological knowledge

Description

Biologists, biology students, and professionals in related fields generally have little or no contact with computer programming. However, the growing of data in genomic, protein and organism databases can be used to model the solution for some problems, such as the discovery of medicines and insecticides. It leads biologists to benefit from computer programming knowledge, so that they can develop useful applications in molecular biology, ecology, research on diseases, among others.

This course was developed with the purpose of introducing biologists, students of biology, biomedicine, ecology, pharmacy and professionals in related areas to programming using Python, which is nowadays one of the most used programming languages. It has a clear syntax and is easy to learn especially if you are a professional who are not familiar with technology. Many tools used in the field of biology were written in Python, which makes it a great option for establishing your first contact with computer programming. You will learn the following topics:

  1. Python installation and main tools (IDEs)
  2. Variables, constants and strings
  3. Math operations
  4. Logical, relational and conditional operators
  5. Loops (for and while)
  6. Functions
  7. Lists, dictionaries, tuples, sets and arrays
  8. Manipulation of text files
  9. Error and exception handling
  10. Regular expressions
  11. Object oriented

After learning the basic concepts of Python, you will be able to apply the concepts in exercises, challenges and practical projects related to ​​Biology. Below are some of the case studies that we will implement step by step:

  1. Prediction of the mass of a peptide sequence according to its amino acid composition
  2. Schedule a biology test that calculates the grade and whether the user got each question right or wrong
  3. Creating classes related to objects in the biological world
  4. .fasta gene sequence analysis
  5. Analysis of gene frequencies according to the Hardy-Weinberg Theorem
  6. Creating functions for population ecology calculations
  7. Discover patterns in RNA sequences
  8. Estimation of gene distances
  9. Basic species identification
  10. Troubleshooting gene frequencies
  11. Creating scripts for parsing .pdb-type protein sequence files
  12. Transcription of DNA sequences into RNA

There are more than 80 classes, concepts, code demonstration, and exercises with solutions! More than 30 proposed challenges and 4 small projects applying the concepts learned in each section in a biological context, with step-by-step resolution.

Who this course is for

  • Biology students or similar areas, such as biomedicine, pharmacy, forestry engineering, etc.
  • Biology or related professionals who wish to learn a programming language
  • Developers or IT professionals who are interested in applying programming knowledge in the field of biology
  • Undergraduate students taking programming courses
  • People interested in programming languages

Course Content

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Ratings and Reviews

4.8
Avg. Rating
17 Ratings
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Review posted on Udemy
Posted 2 months ago
by Vedat Cenk Güler

Despite the some small errors on exercise/project sessions, educative and contentfull course.

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Review posted on Udemy
Posted 7 months ago
by Olga Davlyatova

In general this is a good introduction Python course for biologist. Would love to have more videos that help to develop programming and algorithmic thinking, with the solution videos not just with plain solution but with describing step by step the thinking behind it. Although would love more exercises with different data bases.

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Review posted on Udemy
Posted 1 year ago
by Benito Maltby

This was the only course that I understood much about the content. The way they teach the content was good.

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Review posted on Udemy
Posted 1 year ago
by Patricia Haas

So, this is all new to me. This course Python Programming for Biological is very well explained and I like to follow along with examples.

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Review posted on Udemy
Posted 1 year ago
by Gladys Caswell

I appreciate you creating such a well-organized Python program for the biology course. The chapters cover both theory and practice in great detail, with lots of examples and explanations.

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Review posted on Udemy
Posted 1 year ago
by Reuben Latham

Great! For the moment the course Python Programming for Biological is very easy to understand because the teaching is awesome

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Review posted on Udemy
Posted 1 year ago
by Don Neal

The course is extremely easy to follow, and Python Programming for Biological is explained with great clarity and precision. It contains very high-quality and interesting videos.

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Review posted on Udemy
Posted 1 year ago
by Carol Kelley

I definitely fit in well with this course. I enjoy the course. They explain things well and patiently. It will be an ongoing learning process for me.

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Review posted on Udemy
Posted 1 year ago
by Josephine Finch

It was good but was expecting more quizzes and projects. Really helped in understanding and developing my skills in Python Programming for Biological.

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Review posted on Udemy
Posted 1 year ago
by Lori Worth

Python Programming for Biological Problems course is a good experience, I am learning many new things. This is an amazing course.

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