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Fundamental Skills in Bioinformatics
Master essential bioinformatics and data analysis skills using R and Python. Perfect for beginners in biological and biomedical fields.
Course Cost
₹ 2,699
Beginner
Skill Level
22 Hours
Self-paced lessons
This comprehensive course provides a practical introduction to bioinformatics and data analysis, specifically designed for biological and biomedical students with minimal programming background. The curriculum covers fundamental programming skills in both R and Python, along with essential statistical concepts and their applications in bioinformatics. Students learn to analyze RNA-seq data, perform quality control, and work with both bulk and single-cell data analysis. The course emphasizes hands-on practice through coding lectures and programming assignments, ensuring students develop practical skills while building a strong foundation in bioinformatics principles.
7,586 Enrolled
English
What you'll learn
Master fundamental R programming concepts and data structures
Develop Python programming skills for bioinformatics applications
Analyze bulk RNA-seq count data using statistical methods
Perform single-cell RNA-seq data analysis
Apply quality control and data visualization techniques
Understand key bioinformatics concepts and workflows
Skills you'll gain
This course includes:
8.2 Hours PreRecorded video
13 assignments
Access on Mobile, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive bioinformatics course combines theoretical knowledge with practical programming skills in R and Python. The curriculum progresses from basic programming concepts to advanced bioinformatics applications, including RNA-seq analysis. Students learn through a combination of lectures, coding exercises, and hands-on projects, developing essential skills for biological data analysis. The course structure ensures a solid foundation in both programming and bioinformatics principles.
Introduction to Programming (using R)
Module 1 · 4 Hours to complete
Introduction to Programming II (using R)
Module 2 · 9 Hours to complete
Programming in Python
Module 3 · 5 Hours to complete
Bioinformatics case study - RNA-seq bulk and single-cell data analysis
Module 4 · 4 Hours to complete
Fee Structure
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
4.8
15
Reviews
9,136
Students
1
Course
4.8
15
Reviews
9,136
Students
1
Course
4.8
15
Reviews
9,136
Students
1
Course
4.8
15
Reviews
9,136
Students
1
Course
4.8
15
Reviews
9,136
Students
1
Course
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.