Python Programming For Biologists :A Guide To Programming
Python, Pandas, Numpy
About This Course
Participants will learn the fundamental concepts of programming, such as variables, data types, control structures, functions, and object-oriented programming. They will also learn how to use Python libraries and modules commonly used in biological research, such as NumPy, Pandas, and Seaborn.
The course will cover topics such as data manipulation, data visualization, and statistical analysis, with a focus on applications in biology.
Aim
To provide advanced-level training on python for biologists, focusing on specialized libraries and tools used in bioinformatics and computational biology
Courses Structure
Day 1- Python basics – Quick overview of installation, data structures, file handling, iteration and Python Libraries
Day 2- Data analytics with Pandas and Numpy
Day 3- Data Vizualization with Matplotlib, ggplot
Day 4- Introduction to Biopython
Who Should Enrol?
Engineer, Data Scientist, Machine Learning Engineer, Graduates, Post Graduates, Research Scholars, Academicians, Industry Professionals
Important Dates
Registration Ends
March 25, 2023
IST 6:00 PM
Courses Dates
March 25, 2023 – March 28, 2023
IST IST 7:00 PM ONWARDS
Recording fee
Participants in India
₹2,499
Participants outside India
$50
- All session recordings
- Study material
- Certificate after completion
- 1-year access
The live sessions of this workshop are over, so the live fees no longer apply. The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.
Frequently asked questions
Will I get the recording?
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
What if I miss a live session?
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Do I get a certificate?
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Which fee category applies to me?
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
How can I pay?
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
What is the refund policy?
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
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