: Transition from writing scripts to developing reusable Python packages and libraries. Key Modules and Curriculum
: Deep dives into VS Code as a development environment, SQL database interaction (specifically SQLite), and advanced data wrangling.
: 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? : Transition from writing scripts to developing reusable
: Use tools like Papermill to generate automated data products and reports for stakeholders.
: Those with no prior Python experience who are committed to learning programming specifically for data science. Why It Stands Out : Professionals looking to
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:
The curriculum is streamlined into three primary steps designed for rapid skill acquisition:
: Learning how to connect to transactional databases and apply time-series models to real-world business data.