Deep-dive into the Pandas library, the standard for data manipulation in Python.
Setting up OS-level schedulers like Cron (Linux/macOS) and Windows Task Scheduler to run Python processes at designated intervals.
: Building and interacting with SQL (SQLite) databases. Time Series & Forecasting :
Unlike academic Python courses that focus on theoretical machine learning, DS4B 101-P is and tailored for practical, real-world business applications. It is designed to help professionals: Reduce manual errors by automating data manipulation. Improve scalability by handling larger datasets. Make data products available on-demand to stakeholders. Course Workflow: A Project-Based Approach
Instead of just training a model in a Jupyter Notebook, 101-P teaches how to create comprehensive pipelines using tools like and XGBoost . This includes: Feature Engineering: Automated feature generation.
How do we programmatically generate enterprise-ready PDF, HTML, or Excel reports and email them to stakeholders?
The course is led by , the founder of Business Science and creator of the popular tidyquant R package. With over 15 years of proven track record in developing and productionizing data products to grow revenue, Matt brings a wealth of practical, business-oriented expertise to the course. His teaching style is focused on solving real-world business problems, not just teaching syntax.
DS4B 101-P (Python for Data Science Automation) is a specialized training program designed to teach data analysts how to convert repetitive, manual business processes into automated, scalable Python solutions.
Automating the evaluation of multiple models. 3. API Development with FastAPI
: A major business process automation project involving Time Series Forecasting with Reporting. Target Audience
Deep-dive into the Pandas library, the standard for data manipulation in Python.
Setting up OS-level schedulers like Cron (Linux/macOS) and Windows Task Scheduler to run Python processes at designated intervals.
: Building and interacting with SQL (SQLite) databases. Time Series & Forecasting : DS4B 101-P- Python for Data Science Automation
Unlike academic Python courses that focus on theoretical machine learning, DS4B 101-P is and tailored for practical, real-world business applications. It is designed to help professionals: Reduce manual errors by automating data manipulation. Improve scalability by handling larger datasets. Make data products available on-demand to stakeholders. Course Workflow: A Project-Based Approach
Instead of just training a model in a Jupyter Notebook, 101-P teaches how to create comprehensive pipelines using tools like and XGBoost . This includes: Feature Engineering: Automated feature generation. Deep-dive into the Pandas library, the standard for
How do we programmatically generate enterprise-ready PDF, HTML, or Excel reports and email them to stakeholders?
The course is led by , the founder of Business Science and creator of the popular tidyquant R package. With over 15 years of proven track record in developing and productionizing data products to grow revenue, Matt brings a wealth of practical, business-oriented expertise to the course. His teaching style is focused on solving real-world business problems, not just teaching syntax. Time Series & Forecasting : Unlike academic Python
DS4B 101-P (Python for Data Science Automation) is a specialized training program designed to teach data analysts how to convert repetitive, manual business processes into automated, scalable Python solutions.
Automating the evaluation of multiple models. 3. API Development with FastAPI
: A major business process automation project involving Time Series Forecasting with Reporting. Target Audience