Sector-specific

Programming languages: PYTHON and R (Big Data)

Programming Languages 45 hours

Introduction

The Programming Languages course: Python and R (Big Data) It offers you the opportunity to delve into two of the most in-demand languages in the field of data analysis and Big Data. In an environment where information is the new gold, the ability to handle large volumes of data has become an essential skill. With Python, you’ll learn everything from data processing to object-oriented programming, enabling you to develop innovative solutions. Meanwhile, R will provide you with advanced tools for statistical analysis and data visualisation. Combining these skills will not only enhance your professional profile, but will also enable you to adapt to an ever-changing job market. By choosing us, you’ll benefit from up-to-date training, delivered by experts, which is tailored to your needs and prepares you for the challenges of the future. Seize this opportunity to be at the forefront of a booming sector.

Objectives

- Learn how to work with datasets using Python libraries.

- Develop skills in object-oriented programming in Python.

- Apply advanced data structures in Python to solve problems.

- Use R to clean and prepare data for analysis.

- Implement functions in R to automate analytical tasks.

- Develop complex data models using advanced structures in R.

- Improve data analysis skills using Python and R techniques.

Table of Contents

TEACHING UNIT 1: DATA PROCESSING IN PYTHON
Introduction to Python
Data types (I)
Data types (II) and variables
Data groupings (I)
Data Grouping (II) and Data Input/Output
TEACHING UNIT 2. STRUCTURES AND FUNCTIONS IN PYTHON. OBJECT-ORIENTED PROGRAMMING
Data Structures in Python
While loop
For loops, counters, flags, accumulators and iteration
Functions
Object-oriented programming
TEACHING UNIT 3. DATA PROCESSING IN R
Introduction to R
Getting started with R
Vectors
Arrays and lists
Dataframes
TEACHING UNIT 4. ADVANCED STRUCTURES IN R
Functions
Conditional structures and loops
Data files
Graphs (I)
Graphics (II) and programming

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