What will you learn in Data Science Methodology Course
The full lifecycle of a data science project, from business understanding to deployment.
How to define data science problems and determine analytic approaches.
Frameworks and workflows used in data-driven problem solving.
Roles of various data science tasks such as data collection, wrangling, modeling, and evaluation.
Program Overview
Module 1: From Problem to Approach
⏱️ 1 week
Topics: Data science vs traditional research, business problem framing, analytic approaches
Hands-on: Identify project objectives from sample business problems
Module 2: Understanding and Preparing Data
⏱️ 1 week
Topics: Data requirements, data sources, data collection methods, cleaning and formatting
Hands-on: Practice identifying suitable data sets for given problems
Module 3: Modeling and Evaluation
⏱️ 1 week
Topics: Model selection, model building, performance evaluation metrics
Hands-on: Case-based decision-making on appropriate models
Module 4: Deployment and Feedback
⏱️ 1 week
Topics: Sharing insights, delivering results, feedback loops, continuous improvement
Hands-on: Create a basic outline of a deployment plan
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Job Outlook
Demand for data scientists is expected to grow 35% by 2032 (U.S. BLS).
Core knowledge of methodologies is essential for junior and senior data roles.
Salaries range from $70K–$160K+ depending on specialization and experience.
Methodological understanding is valued in analytics, machine learning, and AI roles.
Specification: Data Science Methodology
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