Ds4b 101-p- Python For Data Science Automation ~repack~ May 2026

The course is built on the principle that modern organizations are rapidly transitioning repetitive business processes into automations to reduce errors and improve scale. Students learn to:

: Transition from writing scripts to developing reusable Python packages and libraries. Key Modules and Curriculum

: Individuals who need to understand how to deliver data-driven results that improve organizational decision-making. Why It Stands Out DS4B 101-P- Python for Data Science Automation

: Professionals looking to move beyond Excel or manual reporting by leveraging automation .

: Creating data products that provide on-demand results for executives. Who is This Course For? The course is built on the principle that

: Use tools like Papermill to generate automated data products and reports for stakeholders.

: Integrate advanced libraries such as sktime to predict business trends. Why It Stands Out : Professionals looking to

: Deep dives into VS Code as a development environment, SQL database interaction (specifically SQLite), and advanced data wrangling.