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Popular

Automation with Python

Take your Python programming to the next level. Learn how to build bots, scrape data from the web, and automate app interactions. Save time and improve your productivity with advanced automation techniques.

Por Fernando Borras Rocher | PhD in Statistical Sciences and Techniques

Sobre este curso

✔️ There is a lot of information that we receive every day about the impact of artificial intelligence on our lives and the discouraging uncertainty about the professional future of our young people, who will be replaced by artificial intelligence.

Darwin already said that “It is not the strongest of the species that survive, but the most adaptable.” In preparing this course, we share the opinions of Forbes and MIT Reif. According to the former, skills related to continuous learning and competencies in digital technologies for task automation, analytics and critical capacity, and the extraction of information from data are critical for the 2030 job market. According to the latter, “Computing is no longer the domain of experts alone,” as the world needs technological “bilinguals,” experts in their fields of knowledge who also know how to use artificial intelligence to address challenges in these fields.

We believe that, regardless of their academic background, any student or professional needs to develop analytical and automation skills to know how to access and process information, transforming it into a useful and effective tool for decision-making.


  • 5 stars: 4 (57%)
  • 4 stars: 3 (43%)
  • 3 stars: 0 (0%)
  • 2 stars: 0 (0%)
  • 1 star: 0 (0%)
A
Andreina Mendez

Buen curso, contenido actualizado

J
Jose Blanco
¡Increíble!

¡Este curso me abrió las puertas a un mundo de posibilidades! Siempre me fascinó la ciencia de datos y ahora puedo aplicar mis conocimientos para analizar datos y obtener insights valiosos.

J
Jessica Silva
Excelente invercion de tiempo

El curso es perfecto para quienes buscan desarrollar habilidades analíticas y mejorar su toma de decisiones.

M
Mary Nieto
Me gustó mucho el curso

Este curso me ha permitido descubrir mi pasión por la ciencia de datos. Ahora estoy seguro de que quiero dedicarme a este campo y seguir aprendiendo para desarrollar una carrera exitosa.

O
Oriana Franco
Un curso que superó mis expectativas

El curso está actualizado con las últimas tecnologías y tendencias en ciencia de datos. Aprendí a usar herramientas como Pandas, NumPy, Scikit-learn y TensorFlow para el análisis de datos y el desarrollo de modelos de machine learning.

F
Fabiola Martinez
Excelentes clases

La plataforma de aprendizaje es fácil de usar y accesible desde cualquier dispositivo. Puedo acceder al curso en cualquier momento y lugar, lo que me permite aprender a mi ritmo.

G
Gaby Lugo
Excelente introducción

El curso es muy completo, abarca desde los fundamentos de la ciencia de datos hasta técnicas avanzadas de análisis.

Popular
3.974 estudiantes
Acceso de por vida
55 clases
Acceso para siempre
Spanish
Garantía de reembolso de 30 días

Lo que aprenderás

🟧 You will master the basic syntax of the Python language, including variables, data types, operators, control structures (conditionals, loops) and functions.

🟧 You will learn how to create scripts that execute a sequence of actions, automating complex tasks that require multiple steps.

🟧 You will master the techniques to handle errors and exceptions that may occur during the execution of your scripts, ensuring robust and reliable code.

🟧 You will gain knowledge of Python programming best practices to create readable, efficient, and maintainable code.

🟧 You will discover how to automate tedious tasks such as collecting data from websites, processing files, sending emails, and generating reports.

Temario

Duración 14h
7 recursos descargables
55 clases

U1: Word file automation

→ Create a Word document and view it online
→ Docx library functions
→ Creating and saving Word documents
→ Creating paragraphs and accessing the contained text
→ Creating headers and levels
→ Paragraph style
→ Paragraph format
→ Space between paragraphs
→ Paragraph indents
→ Fonts, sizes and font colors
→ Creating Tables and their Format
→ Images and their format
→ Headers and footers
→ Page numbering
→ Internet links
→ Automatic conversion of Word files to PDF

U2: Data processing automation with Excel

→ Limitations of Excel spreadsheets
→ Export data to Excel files with Pandas
→ Import Excel files with Pandas
→ Manipulating Data Frames in Pandas
→ Statistics of variables and clusters
→ Programming in Excel from Python
→ Automatic conversion of Excel files to PDF

U3: Automation of information extraction from a PDF

→ Introduction to PDF processing
→ Extracting data from PDF files
→ Creating PDF files
→ Case study: processing Revolut card statements


U4: Automation of information extraction from a web API

→ What is an API?
→ JSON files
→ Expanding knowledge about dictionaries
→ Basic concepts
→ Iterables of a dictionary
→ Advanced modification of a dictionary
→ Nested dictionaries
→ Obtaining information from an IP with an API
→ Passwordless API
→ API with password
→ Real case

U5: Automation of information extraction from a website

→ What is Web Scraping?
→ HTML and its structure
→ The Beautiful Soup Bookstore
→ Case study

U6: Web Process Automation

→ What is Web Automation?
→ Selenium
→ Web process automation challenges
→ RPA Challenge
→ RPA World
→ RPA World Solution
→ Real case study

U7: Prompt Engineering: Learning to talk to an AI

→ Words and tokens
→ Introduction to Prompt Engineering
→ Basic techniques for using GPT Chat
→ Intermediate techniques using GPT Chat
→ Chatbot Development
→ GPT Chat Limitations: Hallucinations

Course evaluation

→ This course contains a final exam

G-Tools: For Students

→ Exclusive access to cutting-edge student tools: improve your employability, participate in exclusive events, take advantage of our intelligent virtual assistant, and more.

⚑ Certificate of completion

→ Your personalized digital certificate, a unique badge of your achievements, with international validity, course duration and QR code for instant verification.

Instructor del Curso
Instructor

Fernando Borras Rocher

With a solid background in Mathematics from the University of Valencia and specializing in Education from the University of Alicante, Fernando Borrás Rocher is a Professor in the Department of Statistics, Mathematics and Computer Science at the "Miguel Hernández" University of Elche. His extensive teaching experience ranges from Biostatistics in the Degree in Medicine to the subject of Artificial Intelligence Models in Health Sciences in the Master's Degree in Clinical Medicine Research.


Fernando leads the Cyborg Experimental Center and the Nanocursos virtual learning environment, where traditional teaching is combined with innovative learning methodologies. His educational approach is characterized by a unique combination of theory and practice, designed to provide students with the necessary tools to excel in the field of health sciences and research.

Throughout his career, Fernando has focused his research on optimizing the location of hierarchical public services, such as hospitals and health centers, as well as on the strategic placement of mobile emergency services (SAMU) to ensure service equity and efficiency. These works allowed him to obtain his PhD in Statistical Sciences and Techniques. His interest in Efficiency Analysis (DEA) and sampling has also led to important contributions in these fields. Furthermore, the application of artificial intelligence in health sciences has become a key line of research in his career, reflecting his commitment to innovation and the advancement of knowledge in this sector.

What makes Fernando different?

▪️ Academic and Practical Experience: More than 20 years dedicated to teaching and research in statistics, mathematics and computer science, with an outstanding track record in the application of advanced statistical methods and artificial intelligence models in the health field.

▪️ Recognized Research: Fernando is a prolific researcher with significant contributions in areas such as the location of health services, the efficiency in the distribution of emergency resources, and artificial intelligence applied to health sciences.

▪️ Innovative Approach to Education: As director of the Cyborg Experimental Center and the Nanocursos virtual environment, Fernando promotes active and experimental learning, using the latest technologies to improve the educational experience.

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Employability support resources, live events and take advantage of Aixa.IA's artificial intelligence to resolve your questions at any time.

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