Ds4b 101-p- Python For Data Science Automation 【OFFICIAL】

: Integrate advanced libraries such as sktime to predict business trends.

: Master the Pandas library with over five hours of in-depth training on data manipulation.

: Professionals looking to move beyond Excel or manual reporting by leveraging automation . DS4B 101-P- Python for Data Science Automation

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

: Use tools like Papermill to generate automated data products and reports for stakeholders. : Integrate advanced libraries such as sktime to

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)

: Those with no prior Python experience who are committed to learning programming specifically for data science. : Transition from writing scripts to developing reusable

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