Advanced Data Science Capstone at Coursera Overview
Duration | 9 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Advanced |
Official Website | Explore Free Course  |
Credential | Certificate |
Advanced Data Science Capstone at Coursera Highlights
- 67% started a new career after completing these courses.
- 57% got a tangible career benefit from this course.
- Earn a shareable certificate upon completion.
Advanced Data Science Capstone at Coursera Course details
- This project completer has proven a deep understanding on massive parallel data processing, data exploration and visualization, advanced machine learning and deep learning and how to apply his knowledge in a real-world practical use case where he justifies architectural decisions, proves understanding the characteristics of different algorithms, frameworks and technologies and how they impact model performance and scalability.
- Please note: You are requested to create a short video presentation at the end of the course. This is mandatory to pass. You don't need to share the video in public.
Advanced Data Science Capstone at Coursera Curriculum
Week 1 - Identify DataSet and UseCase
Capstone Introduction
A warm welcome
Overview of Architectural Methodologies for DataScience
Lightweight IBM Cloud Garage Method for Data Science
Data Sources and Use Cases
Initial Data Exploration
Architectural Decisions Document (ADD)
Process Model Guidelines
Milestones Checklist Week 1
Week 2 - ETL and Feature Creation
Extract Transform Load (ETL)
Data Cleansing
Feature Engineering
Milestones Checklist Week 2
Week 3 - Model Definition and Training
Model Definition
Model Training
Milestones Checklist Week 3
Model Evaluation, Tuning, Deployment and Documentation
Model Evaluation
Model Deployment
Data Product (optional)
Create ADD - Architectural Decisions Document
Create a Video of your final presentation
Milestones Checklist Week 4
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