One Month International Workshop on - Bioinformatics Data Science with “Python” - 2023 (6th Edition) by Decode Life

Registration is open for a One-month Bioinformatics Workshop by DE<code>LIFE.

This course will empower you to:

Understand the core skills required for Bioinformatics.

Application of computing power in Biology.

Understand concepts in Python, Machine learning and Deep Learning for Bioinformatics

Who Should Attend?

This course caters to professionals and students from diverse backgrounds, including but not limited to:

Biologists and life science researchers

Bioinformaticians and computational biologists

Biotechnologists and laboratory technicians

Pharmaceutical and biotech industry professionals

Graduate and postgraduate students in related fields.

Duration: 30 hours

Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants

Schedule

Date	Day	Topics
15 Jul,2023	Saturday	Introduction to Linux Environment
16 Jul,2023	Sunday	Advanced Linux commands
17 Jul,2023	Monday	Introduction to python - Python, Jupyter notebook, Anaconda
18 Jul,2023	Tuesday	Variables and Datatypes
19 Jul,2023	Wednesday	Data Structures
20 Jul,2023	Thursday	Loops
21 Jul,2023	Friday	File Handling and Strings (advanced), Functions
24 Jul,2023	Monday	Pandas
25 Jul,2023	Tuesday	Numpy
26 Jul,2023	Wednesday	Python for chemoinformatics: Scripting
28 Jul,2023	Friday	Introduction to Machine Learning
29 Jul,2023	Saturday	Mini Project 1 - Building Machine learning Model on Protein dataset
31 Jul,2023	Monday	Mini Project 2 -Python for chemoinformatics: Building Machine Learning Model
1 Aug,2023	Tuesday	Introduction to Deep Learning - Tensorflow & Keras
2 Aug,2023	Wednesday	Working of neural Networks: Activation function, Stochastic Gradient
3 Aug,2023	Thursday	Building Convolutional Neural Network
4 Aug,2023	Friday	Practical: Building Colvolutional neural Network
9 Aug,2023	Wednesday	Pyrpipe : Python Package for RNAseq Workflows
10 Aug,2023	Thursday	Pyrpipe : Python Package for RNAseq Workflows
11 Aug,2023	Friday	Python for Network Bioinformatics: