Exclusive articles:
Working with Image Data in Python
Learn to work with image data in Python. Master Pillow, OpenCV, image arrays, preprocessing, augmentation, feature extraction, and when to use CNNs vs. pre-trained models for computer vision.
Introduction to Text Data and Natural Language
Learn to work with text data in Python. Master tokenization, cleaning, TF-IDF, word embeddings, sentiment analysis, topic modeling, and when to use classical NLP vs. transformer models.
Working with Geospatial Data in Python
Learn to work with geospatial data in Python. Master coordinate systems, Shapely geometries, GeoPandas, spatial joins, choropleth maps, distance calculations, and common geospatial analysis patterns.
Introduction to Data Catalogs
Learn what data catalogs are and why they matter for data science. Understand metadata management, data discovery, business glossaries, ownership, and how to build a lightweight catalog in Python.
Understanding Data Provenance and Lineage
Learn what data provenance and data lineage mean for data science. Understand how to track data origins, transformations, column-level lineage, and why it matters for debugging, compliance, and trust.
