Ds4b 101-p- Python For Data Science Automation » | LEGIT |
Business Science University's DS4B 101-P course teaches business analysts to automate workflows and create data products using Python. The curriculum focuses on building end-to-end automation pipelines, database integration, and automated reporting without requiring prior programming experience. For more details, visit Business Science University Business Science University
Furthermore, the course emphasizes the concept of reproducibility, a cornerstone of professional data science. In a manual workflow, if a mistake is found or new data arrives, the entire process must be redone from scratch. DS4B 101-P teaches students how to build automated pipelines that can be rerun with a single command. This includes integrating business logic, such as forecasting with Facebook Prophet, directly into the code. The result is a system that not only analyzes the past but predicts the future, delivering these insights via automated emails or interactive dashboards without human intervention. DS4B 101-P- Python for Data Science Automation
Overview
to execute notebook-based reports on demand or on a schedule. Visualization : Crafting high-quality, report-ready charts with Business Science University Target Audience This course is specifically crafted for: Business Intelligence (BI) Professionals Python environment, Git, IDE (VS Code), conda or
Workflow Design
: Using VSCode as a professional development environment to build custom Python packages that house your automation functions. Time Series Forecasting Beyond the code, the course provides tactical "Bonus"
- Python environment, Git, IDE (VS Code), conda or venv, Docker basics.
- Dataset downloads and sample repo.
Beyond the code, the course provides tactical "Bonus" training on deploying these scripts in a production environment: