Here’s a professional course write-up for DS4B 101-P: Python for Data Science Automation, suitable for a syllabus, course catalog, or learning platform.
Time Series Forecasting: Learning to build predictive models that help organizations anticipate future trends.
Provide a study plan based on the 8-week recommended duration.
Use a 6-week instructor-led or 8-week self-paced schedule; example here is 6 weeks, twice-weekly lessons (12 sessions) plus projects.
Week 2 — Data ingestion & APIs
Here’s a professional course write-up for DS4B 101-P: Python for Data Science Automation, suitable for a syllabus, course catalog, or learning platform.
Time Series Forecasting: Learning to build predictive models that help organizations anticipate future trends. DS4B 101-P- Python for Data Science Automation
Provide a study plan based on the 8-week recommended duration. Here’s a professional course write-up for DS4B 101-P:
Use a 6-week instructor-led or 8-week self-paced schedule; example here is 6 weeks, twice-weekly lessons (12 sessions) plus projects. Session 3: Reading/writing files (CSV, Parquet, Excel), SQL
Week 2 — Data ingestion & APIs