This repository documents my journey through the Data Analysis with Python course (offered via Coursera / IBM).
| Item | Details |
|---|---|
| Course | Data Analysis with Python (IBM / Coursera) |
| Instructor | Joseph Santarcangelo |
| Duration | ~6 modules, est. 10 hours/week |
| Level | Intermediate (requires working knowledge of Python, Jupyter) |
| Skills Covered | Data import/export, data wrangling, EDA, regression models, model evaluation & refinement |
These are the modules as per the course outline. As I complete each, I’ll fill in the “Status”, “Summary” and “Artifacts” (links to notebooks, reports, reflections).
| Module | Title | Time Estimate | Status | Summary / Notes | Artifacts / Links |
|---|---|---|---|---|---|
| Module 1 | Importing Data Sets | ~2 hrs | Completed | Module 1 Task | |
| Module 2 | Data Wrangling | ~1 hr | Completed | Module 2 Task | |
| Module 3 | Exploratory Data Analysis (EDA) | ~2 hrs | Completed | Module 3 Task - Cars Module 3 Task - Laptops | |
| Module 4 | Model Development | ~2 hrs | In progress | ||
| Module 5 | Model Evaluation & Refinement | ~2 hrs | In progress | ||
| Module 6 | Final Assignment / Project | ~4 hrs | Not Started |
The following tools were used to complete this certification:
The following Python libraries were used throughout the certification:
