Introduction to Python for genetics from Udemy

Many students and professionals of biosciences are not familiar with programming. However, the increasing amount of biological data generated every year, along with advances in biotechnology and the increasing role of informatics in life sciences makes the programming knowledge essential for biologists, biotechnologists, and so on. In this introductory course, you will learn how to model simple genetics problems using the programming language Python. First, you will learn how to implement the commands or data structures in Python. And Finally, we will model some problems in the field of genetics using the knowledge acquired so far.

Since this is an introductory course, we will not use third-party libraries, such as Biopython, matplotlib, pandas, etc., but only the built-in commands, modules, and data structures.

In the first section of the course, we have a very brief introduction to refresh some concepts of genetics, such as genes, alleles, frequency, etc... In the second part of the course, you'll learn the basic commands, data structures, and functions of Python. In these chapters, you must apply the knowledge acquired so far in the chapter to solve some problems related to genetics in Python. There are more than 20 exercises and challenges to be solved throughout the course.

Therefore, if you want to:

Learn to think algorithmically
Model problems of genetics in a programming language
Learn how to use the most popular programming languages to model problems of biology

...this course is for you.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops programming knowledge essential for professionals in life sciences

Taught by instructors who are experts in biology and programming

Teaches Python, a popular programming language for modeling biological data

Builds a strong foundation in programming for beginners in genetics

Suitable for students and professionals in the fields of biosciences and biotechnology

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Python for genetics with these activities:

Review Core Principles of Genetics

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Reviews the core concepts and principles of genetics that are essential for understanding the course material

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Review lecture notes from previous genetics courses
Read introductory chapters of a genetics textbook
Complete practice problems on basic genetics concepts

Review high school genetics

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Helps to refresh your knowledge of genetics, making it easier to understand the concepts and principles taught in the course

Browse courses on Genetics

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Review the concepts of Mendel's laws of inheritance
Understand the different types of alleles and their inheritance patterns
Practice solving simple genetics problems using Punnett squares

Follow Python Programming Tutorials

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Provides guided practice and reinforces Python programming concepts used in the course

Browse courses on Python Programming

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Find online tutorials on Python programming for beginners
Follow tutorials and complete exercises
Apply Python concepts to solve simple genetics problems

Five other activities

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Python coding exercises

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Helps you develop proficiency in Python, which is essential for the course

Browse courses on Python

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Complete the Python coding exercises provided in the course materials
Find additional Python coding exercises online and complete them

Genetics problem-solving exercises

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Improves your problem-solving skills in genetics, helping you to apply the concepts learned in the course to real-world scenarios

Browse courses on Genetics

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Complete the genetics problem-solving exercises provided in the course materials
Find additional genetics problem-solving exercises online and complete them

Bioinformatics tutorials

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Introduces you to bioinformatics tools and techniques, which are becoming increasingly important in the field of genetics

Browse courses on Bioinformatics

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Follow online tutorials on bioinformatics tools and techniques
Complete the bioinformatics exercises provided in the tutorials
Apply the skills learned in the tutorials to your own research projects

Genetics blog

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Enhances your understanding of genetics and improves your communication skills by requiring you to explain concepts in a clear and concise manner

Browse courses on Genetics

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Choose a topic in genetics that you are interested in
Research the topic and gather information from reliable sources
Write a blog post explaining the topic in a clear and engaging way
Publish your blog post online and share it with others

Contribute to open-source genetics projects

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Provides you with hands-on experience in genetics research and software development, and allows you to contribute to the broader scientific community

Browse courses on Open Source

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Find an open-source genetics project that you are interested in
Join the project's community and learn about their goals and needs
Identify a way that you can contribute to the project, such as writing code, testing, or documentation
Make your contributions to the project and collaborate with other developers

Career center

Learners who complete Introduction to Python for genetics will develop knowledge and skills that may be useful to these careers:

Bioinformatician

As a bioinformatician, your job is to analyze biological data to extract meaningful information. Using your programming skills, you can develop computational tools for data visualization, statistical analysis, and pattern recognition. This course provides a solid foundation in Python, which is commonly used in bioinformatics. The exercises and challenges will help you build proficiency in using Python for genetic data analysis and modeling.

See salaries and explore the career path for Bioinformatician

Computational Biologist

Computational biologists are responsible for developing and applying computational techniques to solve problems in biology and medicine. With your knowledge of Python, you can create models and simulations to analyze biological systems, discover new patterns, and make predictions. This course will help you gain the skills necessary to use Python effectively for computational biology.

See salaries and explore the career path for Computational Biologist

Biostatistician

Biostatisticians use statistical methods to design and analyze studies in the field of biology. With your programming skills, you can develop statistical models and analyze large datasets to identify patterns and trends. This course will help you gain the skills necessary to use Python for statistical analysis in the field of genetics.

See salaries and explore the career path for Biostatistician

Genetic Counselor

Genetic counselors provide information and support to individuals and families affected by genetic disorders. Having a background in programming can be beneficial in this field, as it can help you better understand the complex genetic data and interpret the results of genetic tests. This course will help you gain the skills necessary to use Python for analyzing genetic data and modeling genetic risk.

See salaries and explore the career path for Genetic Counselor

Data Scientist

Data scientists use their programming skills to extract insights from data. In the field of genetics, you can use Python to analyze genetic data, develop predictive models, and identify patterns. This course will introduce you to the basics of Python programming and its applications in the field of genetics.

See salaries and explore the career path for Data Scientist

Research Scientist

As a research scientist in the field of genetics, you can use your programming skills to analyze data, develop models, and design experiments. This course will provide you with a strong foundation in Python programming, which is widely used in genetic research. The hands-on exercises and challenges will help you build proficiency in using Python for genetic data analysis and modeling.

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Software Engineer

As a software engineer, you can use your programming skills to develop software solutions for various industries, including biotechnology and healthcare. This course will introduce you to Python programming and its applications in genetics. You will learn how to use Python to analyze genetic data, develop predictive models, and identify patterns.

See salaries and explore the career path for Software Engineer

Technical Writer

As a technical writer in the field of genetics, you can use your programming skills to create user manuals, white papers, and other technical documents. This course will introduce you to Python programming and its applications in genetics. You will learn how to use Python to analyze genetic data and create clear and concise documentation.

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Science Teacher

In your role as a science teacher, you will need to teach students the fundamentals of genetics, including the role of programming in the field. This course will provide you with a strong foundation in Python programming, which is widely used in genetic research. The hands-on exercises and challenges will help you build proficiency in using Python for genetic data analysis and modeling.

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Science Writer

As a science writer, you can use your programming skills to create articles, blog posts, and other types of written content about genetics. This course will introduce you to Python programming and its applications in genetics. You will learn how to use Python to analyze genetic data and communicate your findings to a non-technical audience.

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Quality Assurance Analyst

Quality Assurance Analysts are responsible for testing software to ensure that it meets the required standards. This course will introduce you to Python programming and its applications in the field of genetics. You will learn how to use Python to analyze genetic data and identify any potential errors or defects.

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Business Analyst

Business Analysts are responsible for gathering and analyzing data to identify opportunities for improvement within an organization. This course will introduce you to Python programming and its applications in the field of genetics. You will learn how to use Python to analyze genetic data and identify trends and patterns that can be used to make informed business decisions.

See salaries and explore the career path for Business Analyst

Consultant

Consultants provide advice and guidance to organizations on a variety of topics. In the field of genetics, you can use your programming skills to help organizations analyze genetic data and develop strategies for improving health outcomes. This course will introduce you to Python programming and its applications in the field of genetics.

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Healthcare Administrator

Healthcare Administrators are responsible for managing the operations of healthcare organizations. This course will introduce you to Python programming and its applications in the field of genetics. You will learn how to use Python to analyze genetic data and identify trends and patterns that can be used to improve the efficiency and effectiveness of healthcare delivery.

See salaries and explore the career path for Healthcare Administrator

Marketing Manager

Marketing Managers are responsible for developing and implementing marketing campaigns. This course will introduce you to Python programming and its applications in the field of genetics. You will learn how to use Python to analyze genetic data and identify trends and patterns that can be used to develop targeted marketing campaigns.

See salaries and explore the career path for Marketing Manager