: Deep dives into VS Code as a development environment, SQL database interaction (specifically SQLite), and advanced data wrangling.
: Use tools like Papermill to generate automated data products and reports for stakeholders.
The curriculum is streamlined into three primary steps designed for rapid skill acquisition: DS4B 101-P- Python for Data Science Automation
: Those with no prior Python experience who are committed to learning programming specifically for data science.
: Professionals looking to move beyond Excel or manual reporting by leveraging automation . : Deep dives into VS Code as a
is a professional-grade course offered by Business Science University designed to transform data analysts into "automation heroes". Unlike standard "101" courses that focus solely on syntax, this program is project-based, teaching students how to build a complete end-to-end forecasting and reporting system. Core Course Objectives
: Master the Pandas library with over five hours of in-depth training on data manipulation. : Professionals looking to move beyond Excel or
: Learning how to connect to transactional databases and apply time-series models to real-world business data.