Data and AI

Data Cleaning and Modelling

Bring genuine rigour to the unglamorous, disproportionately time-consuming work that determines whether analysis is trustworthy

12h4 lessonsTier 2 hireabilityTier 2 certificate

What you'll be able to do

You can systematically assess data quality, apply a genuine cleaning methodology to messy real-world data, design a sound data model for a specific analytical need, and document your cleaning decisions transparently.

Job titles this qualifies you for

Data AnalystBusiness Intelligence AnalystInsights Analyst
Market intelligence
Demand
High
Remote
78% remote roles
Nigeria salary
Not a primary local hiring category
Remote (USD)
$45,000–$65,000/year for entry-level remote roles; $62,500–$97,000/year broader remote market range; top earners (90th percentile) around $120,500/year

Lessons

Stage 1 — Foundation
1
Systematically Assessing Data Quality
30 min
2
A Systematic Cleaning Methodology
35 min
Stage 2 — Applied
1
Designing a Sound Data Model
35 min
2
Documenting and Communicating Cleaning Decisions
25 min
Tier 2 Proof Submission

Data Cleaning and Modelling Portfolio

Demonstrate systematic data quality assessment, disciplined cleaning methodology, sound data modelling, and transparent documentation.

1.A data quality assessment plan for a customer dataset
2.A documented deduplication rule and validation check
3.An entity/relationship model with a normalisation trade-off explanation
4.A sample cleaning log entry
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