Cursos de Python

Through this program, you'll gain hands-on experience with core full-stack web development technologies including Python, Javascript, HTML, CSS, React, and Django. Begin your learning path with a solid foundation in front-end development. From basic DOM manipulation to advanced concepts in React, you'll learn how to create interactive and engaging webpages and single page applications. You'll also master HTML and…

This course is designed to explore how to execute Python locally and organize and use code across different Python files. Learners will learn how to read and write different types of files, use subprocesses and input streams, create Bash scripts, and use regular expressions. This course also covers automatic testing and explains how to set up a developer environment on a personal machine. We’ll kick off by exploring…

Description: This course focuses on managing and executing Python projects effectively in a collaborative environment. You'll learn project management principles, DevOps practices, Agile methodologies, client communication, and career-building strategies. Benefits: Gain a comprehensive understanding of project management, DevOps, and Agile methodologies, preparing you to lead and contribute effectively to real-world…

This is the seventh course in the Google Cybersecurity Certificate. In this course, learners will be introduced to the Python programming language and learn how to apply it to a security setting to automate tasks. First, learners will focus on key foundational Python programming concepts, including data types, variables, conditional statements and iterative statements. Next, they will learn to work effectively with…

Description: This course provides a comprehensive introduction to building dynamic web applications using Python and the Flask framework. You'll learn how to handle user interactions, work with databases, develop APIs, and deploy secure and reliable web applications. Benefits: Gain the skills and knowledge to build dynamic and interactive web applications using Python, opening doors to exciting career opportunities…

In this course, you’ll explore data structures in Python, which are methods of storing and organizing data in a computer. You’ll focus on data structures that are among the most useful for data professionals: lists, tuples, dictionaries, sets, and arrays. You’ll also discover how to categorize data using data loading, cleaning, and binning. Lastly, you’ll learn about two of the most widely used and important Python…

Voici le septième cours de la Certification en cybersécurité de Google. Ces cours vous permettront d'acquérir les compétences dont vous avez besoin pour postuler à un emploi de niveau débutant dans le domaine de la cybersécurité. Vous vous appuierez sur votre compréhension des sujets qui ont été introduits dans le sixième cours de la Certification en cybersécurité de Google. Dans ce cours, nous vous présenterons le…

Data Science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater. This Specialization from IBM will help anyone interested in pursuing a career in data science by teaching them fundamental skills to get started in this in-demand field. The specialization consists of 5 self-paced online…

Build job-relevant data analysis skills using Python, R, and Microsoft tools in this beginner-friendly specialization. You'll learn how to collect, clean, analyze, visualize, and communicate data insights using two of the most popular programming languages in analytics. The program starts with Python programming fundamentals, then moves into data analysis, visualization, generative AI, and machine learning basics.…

Learn essential data analysis skills using Microsoft's leading tools including Excel with Copilot, Python, and Power BI. Clean, process, analyze, and visualize data effectively while leveraging AI-powered features for enhanced productivity. Build practical expertise in data manipulation, statistical analysis, and creating compelling visualizations that drive business insights and data-driven decision-making across…

Turn your understanding of agents into practical reality by building, configuring, and running your first AI agent using Google’s Agent Development Kit (ADK). In this hands-on course, you’ll set up a complete ADK development environment, create agents with both Python code and YAML configuration, and run them through multiple interfaces. You’ll also learn the core parameters that define agent behavior, taking what…

In today's data-driven world, Python is an essential tool for unlocking insights. This Specialization will guide you from a Python beginner to someone who can confidently apply Python to solve complex data problems. You'll gain hands-on experience with core Python syntax, data structures, and essential libraries like NumPy and pandas. Google experts will guide you through this Specialization by providing hands-on…

This Machine Learning Capstone course uses various Python-based machine learning libraries, such as Pandas, sci-kit-learn, and Tensorflow/Keras. You will also learn to apply your machine-learning skills and demonstrate your proficiency in them. Before taking this course, you must complete all the previous courses in the IBM Machine Learning Professional Certificate. In this course, you will also learn to build a…

Showcase your Python skills in this Data Engineering Project! This short course is designed to apply your basic Python skills through the implementation of various techniques for gathering and manipulating data. You will take on the role of a Data Engineer by extracting data from multiple sources, and converting the data into specific formats and making it ready for loading into a database for analysis. You will…

Ready for an interactive learning experience to build real-world generative AI applications and chatbots? In this hands-on course, you’ll develop a series of guided projects using Python, Flask, Gradio, and LangChain to create AI-powered applications for practical scenarios, including a voice assistant, a meeting summarizer, a language translator, and a personalized career coach. You’ll work with popular large…

Description: This course focuses on automating tasks and improving efficiency using Python. You'll learn how to write scripts for file manipulation, data extraction, web scraping, and interacting with APIs. Benefits: Automate repetitive tasks, streamline workflows, and increase productivity in various domains using Python scripting. By the end of this course, you'll be able to: • Write scripts to automate file…

Working knowledge of SQL (or Structured Query Language) is a must for data professionals like Data Scientists, Data Analysts and Data Engineers. Much of the world's data resides in databases. SQL is a powerful language used for communicating with and extracting data from databases. In this course you will learn SQL inside out- from the very basics of Select statements to advanced concepts like JOINs. You will:…

Build practical deep learning skills for Python-savvy professionals. Learn how neural networks are structured, trained, and evaluated—and how choices like architecture, regularization, and learning rate affect performance. Explore transfer and self-supervised learning (autoencoders). Build models from scratch and learn to diagnose behavior and generalization.

Master essential data engineering skills in this module by collecting data using APIs and web scraping, extracting data from various file formats, and transforming it for analysis. Log data operations, share your Jupyter Notebook in Watson Studio, and engage in peer reviews.

This course picks up where CS50 leaves off, diving more deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap.

An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.

Learn how to use decision trees, the foundational algorithm for your understanding of machine learning and artificial intelligence.

Take your introductory knowledge of Python programming to the next level and learn how to use Python 3 for your research.

In this course, you'll discover the main features and benefits of the Python programming language, and how Python can help power your data analysis. Python is an object-oriented programming language based on objects that contain data and useful code. You’ll become familiar with the core concepts of object-oriented programming: object, class, method, and attribute. You’ll learn about Jupyter Notebooks, an interactive…

Este curso práctico te proporcionará las habilidades esenciales para empezar a trabajar con la visualización de datos. Comenzarás dominando la librería Pandas para la gestión de datos tabulados. Luego, explorarás Matplotlib para crear y personalizar gráficos básicos, entendiendo sus componentes clave de formato. Finalmente, simplificarás la creación de gráficos estadísticos con la potente librería Seaborn. Todos los…

The course is intended for students in the biomedical sciences and researchers who use informatics tools in their research and have not had training in reproducibility tools and methods. This course is written for individuals who: - Have some familiarity with R or Python - have written some scripts. - Have not had formal training in computational methods. - Have limited or no familiar with GitHub, Docker, or package…

This course introduces the dictionary data structure and user-defined functions. You’ll learn about local and global variables, optional and keyword parameter-passing, named functions and lambda expressions. You’ll also learn about Python’s sorted function and how to control the order in which it sorts by passing in another function as an input. For your final project, you’ll read in simulated social media data from…

“Statistics with Python Using NumPy, Pandas, and SciPy” explores how to apply statistical and mathematical techniques to data science problems. Throughout the first half of the course, you’ll work on reviewing vector dot products, interpreting text as vectors, and matrix multiplication. You’ll also explore the basics of probability, laying the groundwork for statistical analysis. In the second half, you’ll cover how…

In “Data-Oriented Python Programming and Debugging,” you will develop Python debugging skills and learn best practices, helping you become a better data-oriented programmer. Courses in the series will explore how to write and debug code, as well as manipulate and analyze data using Python’s NumPy, pandas, and SciPy libraries. You’ll rely on the OILER framework – Orient, Investigate, Locate, Experiment, and Reflect –…

This series of four courses models learning-by-doing through engaging, creative, and collaborative activities as well as conceptual videos that move beyond instructor lectures. The activities and exercise in this series will engage learners in the fundamentals of programming while encouraging creative expression through code. By the end of the series, learners will successfully answer the question - how do I express…

Learning the foundational elements of C can help anyone interested in programming increase their proficiency in languages like C++, Java, JavaScript, and Python. In C Programming for Everybody, you’ll learn the history of C and C syntax as you build foundational programming knowledge with C. Apply your knowledge to several exercises throughout each course as you move into more advanced concepts. This specialization…

In this 2-hour long project-based course, you will learn how to analyze complex HTML structures and identify the relevant data to be extracted using Scrapy and XPath. You will apply the concepts of web scraping, including setting up a Scrapy project, generating spiders, and using XPath queries to extract data from websites that do not provide an API. Additionally, you will evaluate the effectiveness and efficiency…

In this course the learner will be shown how to generate forecasts of game results in professional sports using Python. The main emphasis of the course is on teaching the method of logistic regression as a way of modeling game results, using data on team expenditures. The learner is taken through the process of modeling past results, and then using the model to forecast the outcome games not yet played. The course…

In Data Structures for Designers Using Python, you’ll delve into the critical concepts of data structures and object-oriented programming, tailored specifically for design and visual content creation applications. You’ll be introduced to object-oriented programming principles in Python, enabling you to model real-world scenarios and design problems using objects and classes. You will use the Processing platform to…

Python Fundamentals for Designers is an introduction to programming using Python meant for students interested in how programming is applied to visual applications and design. The course introduces the foundations of programming through a visual and dynamic learning environment. You’ll cover the essential building blocks of Python programming, from basic syntax and data types to more advanced concepts like control…

This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of visualizations. The second week will focus on the technology used to make visualizations…