This Python and R The course offers comprehensive training in Python and R, two of the most widely used programming languages for data analysis and scientific computing. It begins with an introduction to Python, covering its core syntax, data structures and object-oriented programming. It then moves on to R, focusing on data processing and its unique programming features. The final module brings both languages together through a practical case study, highlighting how they can be integrated to solve real-world problems. Designed for students, professionals and researchers, this programme provides both theoretical knowledge and practical experience, enabling participants to apply their programming skills to data-driven projects across various fields, from analytics to machine learning.
Python and R
Big Data
40 hours
Introduction
Objectives
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Master Python and R programming basics for data analysis.
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Develop object-oriented programming skills in Python.
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Learn to process and analyse process data effectively in R.
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Integrate Python and R for real-world problem-solving.
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Apply programming skills to data-driven case studies.
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Lay the foundations for careers in data science and analytics.
Table of Contents
UNIT 1. THE PYTHON PROGRAMMING LANGUAGE
Introduction to Python
Data types (I)
Data types (II) and variables
Data groupings (I)
Data groupings (II) and input/output
UNIT 2. STRUCTURES AND FUNCTIONS IN PYTHON. OBJECT-ORIENTED PROGRAMMING
Python structures
While loop
For loops, counters, witnesses, accumulators and iteration
Functions
Object-oriented programming
UNIT 3. DATA PROCESSING IN R
Introduction to R
First steps in R
Vectors
Arrays and lists
Dataframes
UNIT 4. THE PROGRAMMING LANGUAGE R
Functions
Conditional structures and loops
Data files
Graphics (I)
Graphics (II) and programming
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