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Temario

UNIT 1. INTRODUCTION TO DATA ANALYSIS

UNIT 2. LIBRARIES FOR DATA ANALYSIS: NUMPY, PANDAS, AND MATPLOTLIB

UNIT 3. DATA FILTERING AND EXTRACTION

UNIT 4. PIVOT TABLES

UNIT 5. GROUPBY AND AGGREGATION FUNCTIONS

UNIT 6. DATAFRAME MERGING

UNIT 7. DATA VISUALIZATION WITH MATPLOTLIB AND SEABORN

UNIT 8. INTRODUCTION TO MACHINE LEARNING

UNIT 9. LINEAR REGRESSION AND LOGISTIC REGRESSION

UNIT 10. DECISION TREES

UNIT 11. NAIVE BAYES

UNIT 12. SUPPORT VECTOR MACHINES (SVM)

UNIT 13. K-NEAREST NEIGHBORS (KNN)

UNIT 14. PRINCIPAL COMPONENT ANALYSIS (PCA)

UNIT 15. RANDOM FOREST

Plan de estudios

Resumen salidas profesionales
The demand for data analysis skills is soaring, and Python stands at the forefront as a powerful tool for unlocking insights from complex datasets. Our Course on Data Analysis with Python is designed to equip you with the essential skills needed to excel in this thriving field. You'll learn to harness Python's capabilities to manipulate, analyse, and visualise data effectively. With the increasing reliance on data-driven decisions across industries, employers are actively seeking professionals who can transform raw data into actionable insights. By enrolling in this course, you position yourself at the leading edge of a booming industry, ready to meet the demands of a data-centric world. Our engaging online format ensures you can learn at your own pace, making it easier than ever to acquire these in-demand skills and enhance your career prospects. Join us to become a sought-after expert in data analysis with Python.

Objetivos
- To understand the basics of Python for data analysis. - To learn to manipulate datasets using Python libraries. - To develop skills in data visualisation techniques. - To master data cleaning and preprocessing methods. - To apply statistical analysis using Python. - To explore data science tools and frameworks. - To gain proficiency in writing Python scripts for analysis.
Salidas profesionales
- Data analyst in tech companies - Marketing data strategist - Financial analyst using Python - Data visualisation specialist - Python programmer for data insights - Business intelligence consultant - Healthcare data analyst - E-commerce data optimisation expert - Government data researcher - Machine learning assistant in data science projects
Para qué te prepara
The Course on Data Analysis with Python prepares you to tackle complex data challenges with confidence. You will learn to manipulate and analyse large datasets, draw meaningful insights, and make data-driven decisions. By mastering Python libraries like Pandas, NumPy, and Matplotlib, you will enhance your ability to create visualisations and interpret statistical results, equipping you to effectively contribute to data-driven projects in any professional context.

A quién va dirigido
This course is aimed at professionals and graduates in the field who are eager to enhance or refresh their knowledge of data analysis using Python. Ideal for those with a foundational understanding of data science, it provides practical skills and insights into Python's powerful tools and libraries, enabling participants to efficiently analyse and interpret data.

Metodología
Aprendizaje online gif Aprendizaje online
Aprendizaje 100% online
Plataforma web en la que se encuentra todo el contenido de la acción formativa. A través de ella podrá estudiar y comprender el temario mediante actividades prácticas, autoevaluaciones y una evaluación final.
Campus virtual Campus virtual
Campus virtual
Accede al campus virtual desde cualquier dispositivo, las 24 horas del día. Contando con acceso ilimitado a los contenidos de este curso.
Equipo docente especializado Equipo docente especializado
Equipo docente especializado
El alumnado cuenta con un equipo de profesionales en esta área de formación, ofreciéndole un acompañamiento personalizado.
Centro del estudiante Centro del estudiante
Centro del estudiante
Contacta a través de teléfono, chat y/o email. Obtendrás una respuesta en un tiempo máximo de 24/48 horas en función de la carga docente.

Titulación de course on data analysis with python

Degree issued by EDUCA OPEN, a center specialized in training in different technological areas.
EDUCAOPEN
EDUCAOPEN_DIPLOMA

Claustro docente

Euroinnova International Online Education
Omar David Escámez Moreno

Docente de la facultad de programación y desarrollo de software

Euroinnova International Online Education
Alfredo Vela

Docente de la facultad de programación y desarrollo de software

Euroinnova International Online Education
Francisco Cobos

Docente de la facultad de programación y desarrollo de software

Descubre todas nuestras becas personalizadas

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ALUMNOS
-20%
BECA
DESEMPLEO
-15%
BECA
EMPRENDE
-15%
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AMIGO
Metodología MyLxp

Course on Data Analysis with Python

Gain the most in-demand skills with our Course on Data Analysis with Python

Are you looking for training tailored to your needs? Do you want to enhance your resume to apply for better job opportunities? Would you like to be more valued in your current job? Don’t wait any longer, take advantage of the opportunity offered by Euroinnova International Online Education and enroll in our Course on Data Analysis with Python to become an expert in the field. Boost your career and achieve the professional goals you've always wanted. With the online training we offer, you can take the course from anywhere, without having to leave your home or city, and you’ll have your own schedule as we adapt to you. Don’t hesitate anymore, sign up now!

Course on Data Analysis with Python

Request any information you need at Euroinnova International Online Education!

Achieve your professional goals with our Course on Data Analysis with Python

Python is a programming language widely used in various web applications, software development, data science, and more. Many developers use Python because it is efficient, easy to learn, and can be easily implemented on different platforms.

Benefits of Python

When using Python, you can find a wide range of benefits, including the following key points:

  • Python is easy to read and understand for developers because its syntax is very simple and similar to English.
  • Python allows developers to be more productive by enabling them to write programs with fewer lines of code.
  • Python offers a large library with many reusable codes for almost any task.
  • Developers can use Python in combination with other programming languages.

Learn effectively and practically with our Python training

Python is one of the most commonly used programming languages. More and more companies are deciding to adopt it for developing their applications or building websites. People who learn Python have better job opportunities, making it an excellent choice for entering a job market that is increasingly in demand. Python optimally analyzes data, contributing to a company’s operations.

As we know, programming is part of our daily lives, so it is crucial to have specialists who contribute to developing new methods and opportunities in the digital sector.

What are you waiting for to request information? Access our virtual campus and explore our wide catalog of courses and master’s programs. Contact us, and our specialized advisors will assist you.

What is Python used for?

Python is one of the most popular programming languages in the world of software development and web development. Its simplicity in writing and reading makes it ideal for both novice and experienced programmers and developers.

The main uses of Python are:

  • Data Mining and Blockchain Technology
    Python is widely used in extracting valuable information from large datasets and is also used in blockchain development, due to its flexibility and efficiency.
  • Machine Learning
    Python provides robust libraries (such as TensorFlow, Scikit-learn, and PyTorch) that make it ideal for developing machine learning models and algorithms.
  • Web Development
    Python is commonly used for building websites and web applications, especially with frameworks like Django and Flask, which allow for rapid development.
  • Artificial Intelligence (AI)
    Python is a go-to language for AI development due to its readability and the wide range of libraries available for natural language processing (NLP), computer vision, and other AI applications.
  • Data Science
    Python plays a significant role in data analysis and visualization. It is widely used by data scientists for manipulating and analyzing data, with tools like Pandas, NumPy, and Matplotlib supporting various data-driven tasks.

Why enroll in the Course on Data Analysis with Python Online offered by Euroinnova International Online Education?

Take advantage of the opportunity offered by Euroinnova International Online Education to expand your knowledge. With the Course on Data Analysis with Python, you can balance your work and personal life in the most convenient way possible.

The methodology we provide at Euroinnova is based on distance learning, so you can study from anywhere in the world. Additionally, you will have a personalized tutor to address your questions within 24 to 48 hours.

If you’re still unsure, you can contact us through our form. Take action and benefit from Euroinnova's online training advantages.

We look forward to welcoming you to Euroinnova International Online Education!

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