- Duration / Course length: 3 Days
- Timings: Enquire
Course details
In this course, you’ll learn to code with Python.Python is a general-purpose programming language used for a variety of purposes, including web, software, and game development, artificial intelligence, machine learning, and data analysis.
The course begins with fundamental programming concepts, such as functions and statements. We then cover several of the Python libraries most relevant for data management and manipulation (, NumPy, Pandas, Seaborn, and Matplotlib).
You’ll also learn about extracting, transforming, and loading data (ETL) techniques and operations, as well as what is known as “data wrangling”.
Module 1: Introduction to Programming with Python
Getting Started with Python; Performing Operations with Complex Data Types; Working with “If” Statements, Loops, and Comprehensions; Defining, Configuring, and Invoking Functions; Leveraging Functions with Lambdas, Generators, Closures, and
Decorators
Module 2: Python for Data Science
Introduction to NumPy for Multi-dimensional Data; Advanced Operations with NumPy Arrays; Manipulating and Analysing Data in Pandas Dataframes; Data Wrangling with Pandas; Data
Visualisation Using Seaborn
Module 3: Operations with petl
Petl: Introduction; Basic Data Transformations; Advanced Extractions and Transformations
Module 4: Data Science Statistics
Using Python to Compute and Visualise Statistics; Applied Inferential Statistics
Updated on 23 April, 2025
Eligibility / Requirements
To successfully study this programme, delegates will require strong critical-thinking and problem-solving skills, a strong background in mathematics (, advanced algebra), and some experience with coding.
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