The course is built on the reality that modern companies are transitioning manual business tasks to automations to reduce errors, improve scalability, and provide data products on demand. Students learn to navigate the Python Data Science Workflow by working through a real-world scenario: helping a hypothetical bicycle manufacturer automate its complex forecasting reports.
Specialized library used for time-series analysis and forecasting business metrics. DS4B 101-P- Python for Data Science Automation
: Building and interacting with SQL (SQLite) databases. Time Series & Forecasting : The course is built on the reality that
The DS4B 101-P course is designed for:
Most introductory courses leave students with "siloed" skills. DS4B 101-P focuses on the , ensuring that by the end of the program, you have a functional system you can deploy in a corporate environment. It is the entry point for the Business Science R-Track or Python-equivalent systems, emphasizing "full-stack" data science capabilities. Python for Data Science Automation (Course 1) : Building and interacting with SQL (SQLite) databases