In today’s digital age, the data analysis has become the key to strategic decision-making across all sectors. With the formation of Data Science with Python: an introduction to data analysis, you’ll delve into the fascinating world of data analysis using Python, a tool in high demand. You’ll learn everything from the very basics – installing and setting up Python – right through to mastering libraries such as Matplotlib y Seaborn for data visualisation. This course will equip you with the skills needed to turn raw data into valuable insights, enabling you to clean, transform and understand complex datasets. Begin your training in a booming sector and open the door to countless opportunities.
Cross-cutting
Big Data
7 am
Data Science with Python: An Introduction to Data Analysis
Big Data
7 am
Introduction
Objectives
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Mastering the basics of Python to use it in Data Science.
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Install y configure Python for use in data analysis.
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Write scripts basic Python functions for manipulating data.
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Explore libraries Python to transform data into information.
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Working with structures data and types basic concepts in Python.
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View data using Matplotlib and improve graphics with Seaborn.
Table of Contents
TEACHING UNIT 1. PYTHON FOR DATA SCIENCE: MASTERING THE BASICS
1. Why is Python the ideal tool for data science? 2. Getting started with Python: installation and setup
3. Write your first Python script
4. Explore Python libraries that transform data into useful information
5. Working with data in Python: basic structures and types
TEACHING UNIT 2. APPLYING PYTHON TO DATA ANALYSIS
1. Data cleaning and transformation using Python
2. Visualise your data with Matplotlib
3. Improve your plots with Seaborn
4. Discover what your data reveals
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