EDMIRE TRAININGS
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10% OFF on all Courses – Enroll Now! - قريباً مع إدماير ترينينغز – مفاجآت وتدريبات جديدة بانتظاركم (Coming soon with Edmire Trainings – surprises and new trainings await you)

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Why this course?

DataFrames Mastery

Slice, filter, group and reshape data with Pandas.

Fast Computing

Vectorised numerical work with NumPy arrays.

Analyse at Speed

Answer data questions in lines, not hours.

Program Overview

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.

Course Highlights:
  • Deep Pandas: Indexing, groupby, merge, pivot and time series.
  • NumPy Power: Arrays, broadcasting and vectorised speed.
  • Real Analysis: Answer genuine questions on real datasets.
  • Efficient Code: Write clean, fast, professional data code.
Prerequisites

Basic Python! Comfort with Python basics is recommended; we reinforce it as we go. Ideal for aspiring analysts and data scientists.

Edmire Certified

Earn the "Pandas & NumPy Analyst" badge upon completing all modules and the hands-on final assessment.

Verifiable Credential

Tools & Libraries You'll Master

Pandas
NumPy
Python
Jupyter
Time Series
Aggregation

Course Curriculum

5 Modules
Module 01
NumPy for Numerical Computing

Arrays, indexing, broadcasting and vectorised operations.

5 Hours
Module 02
Pandas Foundations

Series, DataFrames, selection and filtering.

5 Hours
Module 03
Grouping & Aggregation

GroupBy, pivot tables and summarising data.

5 Hours
Module 04
Merging & Time Series

Combine datasets and work with dates and times.

5 Hours
Module 05
Real Analysis & Capstone

An end-to-end analysis project in Pandas.

4 Hours

Where This Can Take You

Data Analyst

Analyse and transform data fluently in Python.

Quant Analyst

Crunch numbers at speed with NumPy and Pandas.

Data Scientist

Prepare and explore data for modelling.

BI Analyst

Power reports and dashboards with Python.

Frequently Asked Questions

Q: Do I need Python experience for this course?

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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