AI powered Data Analysis in Python for Biotechnologists
Course by: Dr. Lokender Kumar
4.0
A practical programming course designed for UG/PG/PhD bioscience students to build strong Python skills for biological data analysis, visualization, and research automation.
Explore free chapters at no cost to see if this course matches your learning goals.
Course objectives
Objective-1:
Develop proficiency in NumPy and pandas for handling, cleaning, and analyzing biological datasets with accuracy and efficiency
Objective-2:
Apply matplotlib and seaborn to create publication-quality visualizations that reveal trends and patterns in experimental biological data.
Objective-3:
Simulate and interpret biological phenomena such as gene expression, microbial growth, and treatment responses using Python-based data workflows.
Objective-4:
Integrate computational tools to build complete, reproducible data analysis pipelines for life science research projects.