01
Master NumPy
- Create and handle ndarrays efficiently
- Master advanced indexing and broadcasting
- Run vectorised mathematical operations
- Optimise heavy numerical computations
Any questions?
IIA Assistant
Hello!
I'm the IIA assistant.
What are you looking for?
I'm the IIA assistant.
What are you looking for?
Python • Data Science
Pandas & NumPy.
Master the two core libraries of Data Science: NumPy for fast numerical computing and Pandas for handling and cleaning tabular data.
ndarray
Vectorised
computing
computing
DataFrame
Tabular
data handling
data handling
5 days
Intensive
course
course
— Objectives
You will learn to
02
Become a Pandas expert
- Handle Series and DataFrames with ease
- Clean real datasets (missing values, duplicates…)
- Run complex aggregations with groupby
- Perform joins (merge, concat, join)
- Prepare a dataset for Machine Learning
— Programme
Detailed programme
Day1
NumPy: scientific computing
- Creating and handling ndarrays
- Advanced indexing and broadcasting
- Vectorised mathematical operations
Day2-3
Pandas: fundamentals & cleaning
- Series and DataFrames
- Reading/writing (CSV, Excel, JSON…)
- Cleaning: missing values, duplicates, apply/map
- Creating and transforming columns
Day4-5
Aggregations, joins & ML preparation
- Advanced groupby() and descriptive statistics
- Pivot tables and crosstab
- Joins: merge(), concat(), join()
- Encoding, normalisation and feature engineering
- Final project: fully cleaning a real dataset
— Next step
Ready to master data handling with Python?