01
Exploratory Data Analysis & Statistics
Data cleaning, distribution analysis, hypothesis testing, and feature scaling.
Assessed focus areas: Statistical Distributions & Hypothesis Tests
Artificial Intelligence & Machine Learning
Data Science & Artificial Intelligence
Data Science Methodology
Exploratory data analysis, statistical significance, feature engineering, and predictive pipelines.
01
Curriculum
Structured knowledge domains and assessed focus areas.
02
Practice
Practice questions with instant feedback and answer explanations.
03
Certification
Structured assessment with an issued credential when you pass.
Structured Curriculum
Standardized topic hierarchy and evaluated competencies for this skill.
Certification Pathways
Structured certification assessments and blueprint specifications aligned to industry roles.
Associate
●
Available
Data Science Core Competency
20
Questions
30m
Duration
75%
Pass Score
Associate
●
Available
Data Science with Python Credential
20
Questions
30m
Duration
75%
Pass Score
Practice Data Science Methodology Questions
Practice with 155 skill-specific questions and review answer explanations as you go.