ReadMyCourse Exploratory Data Analysis for Data Science: A Practical Approach using Biological Data and Python

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Exploratory data analysis for data science: A practical approach using biological data and python.

You can register for this course by using the below URL:

https://bit.ly/3v60vwH

Course highlights:-

- 15 + Live classes

- 10+ assignments, quizzes, and study materials

- Python basics

- Statistics for exploratory data analysis

- Exploratory data analysis using biological datasets using pandas, seaborn, matplotlib, and scikit-learn python libraries

- Reference .ipynb workbooks

- Research paper support if needed

- 3 real-world projects using biological datasets

1. EDA on Genome data: Prediction of genetic disease.

2. Cheminformatics project with a novel disease target: Prediction of log IC50 values of small molecules from ChEMBL database

3. EDA on Peptide data and feature generation: To classify between hemolytic and non-hemolytic peptides

- Regular assignments and evaluation

- Lifetime access to classes

- Creation of GitHub portfolio to showcase the projects and add it to resume

BONUS:

- How to get practice datasets?

- Learn about Python libraries to perform EDA with just a few lines of code.

Visit us at WWW.READMYCOURSE.COM for more details & Information

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