Data and AI

Python for Data Analysis with pandas

Move beyond spreadsheets and BI tools into programmatic data analysis with Python and pandas

24h4 lessonsTier 2 hireabilityTier 2 certificate

What you'll be able to do

You can load, clean, transform, and analyse real datasets using Python and pandas, write reproducible analysis scripts, and produce clear summary outputs and visualisations from code rather than a GUI tool.

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
Python Basics for Data Work
50 min
2
Loading and Exploring Data with pandas
50 min
Stage 2 — Applied
1
Cleaning and Transforming Data with pandas
50 min
2
Visualisation and Producing Analysis Outputs
40 min
Tier 2 Proof Submission

Python for Data Analysis Portfolio

Demonstrate genuine Python/pandas competence across loading, cleaning, transforming, aggregating, and visualising real data.

1.A Python function with an explanation of its reproducibility value
2.Exploration output and a boolean filter for a sales dataset
3.Missing-data handling, a new column, and a groupby aggregation
4.A described chart and Markdown commentary for the aggregated output
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