IBM: Data Science Methodology

INSTRUCTORS

Instructors: Alex Aklson

Course Description

This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand.

Accordingly, in this course, you will learn: - The major steps involved in tackling a data science problem. - The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment. - How data scientists think!

Topics include

Module 1: From Problem to Approach and from Requirements to Collection

• Business Understanding
• Analytic Approach
• Data Requirements
• Data Collection
• Lab: From Problem to Approach
• Lab: From Requirement to Collection
• Quiz: From Problem to Approach
• Quiz: From Requirement to Collection

Module 2: From Understanding to Preparation and from Modeling to Evaluation

• Data Understanding
• Data Preparation
• Modeling
• Evaluation
• Lab: From Understanding to Preparation
• Lab: From Modeling to Evaluation
• Quiz: From Understanding to Preparation
• Quiz: From Modeling to Evaluation

Module 3: From Deployment to Feedback

• Deployment
• Feedback
• Quiz: From Deployment to Feedback
• Peer-review Assignment

This course is part of the ‘IBM Data Science Professional Certificate’