Ds4b 101-p- Python For — Data Science Automation

It is no longer enough to write static Jupyter notebooks that run once. Businesses need data pipelines that update automatically, reports that refresh without manual intervention, and models that retrain themselves on new data. This is where the course enters the arena.

Week 3 — Data cleaning & transformation DS4B 101-P- Python for Data Science Automation

You have the script; now you need the robot to run it. This module covers three levels of scheduling: It is no longer enough to write static

: This course serves as the prerequisite for DS4B 201-P: Machine Learning & APIs, where you learn to predict the future, not just report the past. Week 3 — Data cleaning & transformation You

The course is divided into three critical phases that mirror a professional data science project lifecycle:

The course "DS4B 101-P: Python for Data Science Automation," offered by Business Science, represents a strategic shift in how data professionals approach business problems. Rather than focusing solely on academic algorithms or static visualisations, this curriculum prioritises the delivery of end-to-end business value through automation and scalable workflows. It addresses a critical gap in the market: the transition from being a "data analyst" who produces reports to a "data scientist" who builds automated systems.