This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from Johns Hopkins University.

This first of five courses introduces students to the social determinants of health, and provides an overview of the definitions and theoretical perspectives that will form the foundation of this specialization. The topics of this course include: 1. Introduction to the Social Determinants of Health 2. Theoretical Perspectives and Knowledge Complexity 3. Data Driven Collective Impact 4. Minority Stress Theory 5. Data Applications: Frequency Analysis and Bar Chart Visualization

In this 1-hour long project-based course, you will learn how to access, parse, and visualize data from various bioinformatics sequence and structural online databases such as ENTREZ, PDB, KEGG and NCBI using Biopython. You will also interact with various bioinformatics file formats such as FASTA, PDB, GENBANK and XML along with various parsers to read and modify these files using Biopython. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.