Python: Intro to Programming for Data Science

What I've learned illustration — Topics covered illustration, adopted from course syllbus

From this semester-long Introduction to Programming for Data Science course, I learned Python and using Python to analyze data. Through daily practice with programming exercises and data science projects, I developed core skills including:

Data science pipeline:
- Data management (acquiring, cleaning, reshaping, organizing, persisting);
- Data modeling;
- Analyzing;
Python and programming topics:
- Algorithm development;
- Coding practices;
- Data formats;
- Reading and writing data resources;
- Using regular expressions;
- Various Python topics;
Data science topics:
- Statistical inference;
- Text processing;
- Python modules (libraries) for NLP, statistics, mathematics, and data visualizations:
  - matplotlib, pandas, spaCy, NumPy, jupyter, Google Colab