Ds4b 101-p- Python For Data Science Automation 💎

DS4B 101-P empowers analysts to automate data workflows using Python. Through hands-on labs and a capstone project you'll learn data ingestion, cleaning, scheduling, orchestration, automated reporting, and simple deployment patterns — all using real-world tools like pandas, Prefect, and Docker.

: Using Papermill to parameterize and run Jupyter Notebooks, generating production-ready HTML or PDF reports automatically. Key Benefits for Business DS4B 101-P- Python for Data Science Automation

: Creating business-focused charts with libraries like plotnine or Matplotlib. DS4B 101-P empowers analysts to automate data workflows