Slice, filter, group and reshape data with Pandas.
Vectorised numerical work with NumPy arrays.
Answer data questions in lines, not hours.
Data Analysis with Pandas & NumPy goes deep on the two libraries at the core of Python data science. You'll master NumPy arrays and vectorised computing, then Pandas Series and DataFrames for real analysis — selecting, filtering, grouping, merging, pivoting and aggregating data — on realistic datasets, until working with data in Python feels effortless.
Basic Python! Comfort with Python basics is recommended; we reinforce it as we go. Ideal for aspiring analysts and data scientists.
Earn the "Pandas & NumPy Analyst" badge upon completing all modules and the hands-on final assessment.
Verifiable CredentialArrays, indexing, broadcasting and vectorised operations.
Series, DataFrames, selection and filtering.
GroupBy, pivot tables and summarising data.
Combine datasets and work with dates and times.
An end-to-end analysis project in Pandas.
Analyse and transform data fluently in Python.
Crunch numbers at speed with NumPy and Pandas.
Prepare and explore data for modelling.
Power reports and dashboards with Python.
Basic Python is recommended, since Pandas and NumPy are Python libraries. We reinforce the essentials, and everything is practised on real data.
Just a laptop. We use free tools — Python, Pandas, NumPy and Jupyter/Colab, with set-up help provided in the first session.
To receive the Edmire Pandas & NumPy Analyst Certificate, complete all 5 modules and the capstone — a full analysis in Pandas on a real dataset. Resubmission is free if needed.
This course focuses deeply on Pandas and NumPy for analysis. Python for Data Science is broader, also covering visualisation and machine learning. This is ideal if you specifically want to master data manipulation.
Classroom training at our Dubai centre, live online instructor-led classes, or custom in-house delivery — with all materials yours to keep.
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