Análisis de datos con Python from Coursera

Aprenda a analizar datos con Python. Este curso lo llevará desde los conceptos básicos de Python hasta la exploración de muchos tipos diferentes de datos. Aprenderá a preparar datos para el análisis, realizar análisis estadísticos simples, crear visualizaciones de datos significativas, predecir tendencias futuras a partir de datos, ¡y más! Tópicos cubiertos: 1) Importación de conjuntos de datos 2) Limpiar los datos 3) manipulación del marco de datos 4) Resumen de los datos 5) Creación de modelos de regresión de aprendizaje automático 6) Construcción de canalizaciones de datos El análisis de datos con Python se entregará a través de conferencias, laboratorio y asignaciones. Incluye las siguientes partes: Bibliotecas de análisis de datos: aprenderá a usar las bibliotecas Pandas, Numpy y Scipy para trabajar con un conjunto de datos de muestra. Le presentaremos pandas, una biblioteca de código abierto, y la usaremos para cargar, manipular, analizar y visualizar conjuntos de datos interesantes. Luego, le presentaremos otra biblioteca de código abierto, scikit-learn, y usaremos algunos de sus algoritmos de aprendizaje automático para construir modelos inteligentes y hacer predicciones interesantes. Si elige tomar este curso y obtener el certificado del curso de Coursera, también obtendrá una insignia digital de IBM. OFERTA POR TIEMPO LIMITADO: La suscripción cuesta solo $ 39 USD por mes para acceder a materiales calificados y un certificado.

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Provides a strong foundation for learning data analysis using Python, which is standard across industries

Teaches students how to analyze data and create visualizations, which is key for today's data-driven world

Provides hands-on labs and interactive materials, which is great for applying theory to practice

Reviews summary

Python data analysis basics

This course on data analysis with Python introduces learners to the basics of Python and takes them through data exploration with datasets. They will become familiar with data preparation, statistical analysis, and data visualization. The course materials also include some machine learning content. Students will learn to utilize industry-standard libraries like Pandas, NumPy, and SciPy.

Students are introduced to basic machine learning.

"Le presentaremos otra biblioteca de código abierto, scikit-learn, y usaremos algunos de sus algoritmos de aprendizaje automático para construir modelos inteligentes y hacer predicciones interesantes."

The course contains labs and assignments.

"El análisis de datos con Python se entregará a través de conferencias, laboratorio y asignaciones."

The course delves into the technical aspects.

"Aprenderá a preparar datos para el análisis, realizar análisis estadísticos simples, crear visualizaciones de datos significativas, predecir tendencias futuras a partir de datos, ¡y más!"

Suitable for beginners with little experience.

"Aprenda a analizar datos con Python. Este curso lo llevará desde los conceptos básicos de Python hasta la exploración de muchos tipos diferentes de datos."

Some students found the course to be too focused on theory.

"Mucha teoria en muy poco tiempo."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Análisis de datos con Python with these activities:

Review Python syntax

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Review the basics of Python syntax to ensure a solid foundation for the course.

Browse courses on Python

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Review variables, data types, and operators
Practice writing simple Python scripts

Read 'Data Analysis with Python and Pandas'

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Enhance theoretical understanding of data analysis concepts and Python implementation.

View Python for Data Analysis: Data Wrangling with... on Amazon

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Read selected chapters to supplement course materials
Apply concepts from the book to practical exercises

Participate in a Python study group

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Engage in collaborative learning, share knowledge, and clarify concepts with peers.

Browse courses on Python

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Join or create a study group with other course participants
Discuss course topics, solve problems, and provide support

Four other activities

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Solve Python coding problems

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Enhance problem-solving skills and apply Python knowledge through practice.

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Identify and understand the problem statement
Design and implement a Python solution
Test and debug the solution

Explore Pandas tutorials

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Gain familiarity with Pandas library and its functionalities for data manipulation.

Browse courses on Pandas

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Follow step-by-step tutorials to learn Pandas basics
Apply Pandas functions to manipulate and analyze sample datasets

Build a data visualization dashboard

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Develop practical data visualization skills and demonstrate insights from data analysis.

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Gather and prepare data for visualization
Select appropriate visualization techniques
Use a data visualization tool to create an interactive dashboard

Contribute to a Python open-source project

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Gain hands-on experience in open-source development and contribute to the Python community.

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Identify a Python open-source project to contribute to
Read the project documentation and codebase
Submit a pull request with your contribution

Career center

Learners who complete Análisis de datos con Python will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data scientists use their knowledge of statistics, machine learning, and programming to build models that can predict future outcomes. They work with businesses to identify problems and develop solutions that can help them improve their operations. The skills learned in this course, such as data analysis, machine learning, and model building, are essential for success in this role. This course can help you build a foundation in data science and prepare you for a career in this field.

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Machine Learning Engineer

Machine learning engineers are responsible for building and deploying machine learning models. They work with data scientists to identify problems and develop solutions that can help businesses improve their operations. The skills learned in this course, such as machine learning, model building, and deployment, are essential for success in this role. This course can help you build a foundation in machine learning engineering and prepare you for a career in this field.

See salaries and explore the career path for Machine Learning Engineer

Business Analyst

Business analysts use data to identify and solve business problems. They work with businesses to understand their needs and develop solutions that can help them improve their operations. The skills learned in this course, such as data analysis, problem solving, and communication, are essential for success in this role. This course can help you build a foundation in business analysis and prepare you for a career in this field.

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Operations Research Analyst

Operations research analysts use data to analyze and improve business operations. They work with businesses to identify problems and develop solutions that can help them improve their efficiency and productivity. The skills learned in this course, such as data analysis, optimization, and simulation, are essential for success in this role. This course can help you build a foundation in operations research and prepare you for a career in this field.

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Statistician

Statisticians use data to analyze and interpret trends and patterns. They work with businesses and other organizations to help them make informed decisions. The skills learned in this course, such as data analysis, statistical modeling, and interpretation, are essential for success in this role. This course can help you build a foundation in statistics and prepare you for a career in this field.

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Data Analyst

Data analysts are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. They use this information to make recommendations to businesses on how to improve their operations. The skills learned in this course, such as data cleaning, manipulation, and analysis, are essential for success in this role. This course can help you build a foundation in data analysis and prepare you for a career in this field.

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Financial Analyst

Financial analysts use data to analyze and interpret financial information. They work with businesses and other organizations to help them make informed investment decisions. The skills learned in this course, such as data analysis, financial modeling, and interpretation, are essential for success in this role. This course can help you build a foundation in financial analysis and prepare you for a career in this field.

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Data Engineer

Data engineers are responsible for designing and building data pipelines. They work with data scientists and other stakeholders to ensure that data is available and accessible for analysis. The skills learned in this course, such as data cleaning, transformation, and integration, are essential for success in this role. This course can help you build a foundation in data engineering and prepare you for a career in this field.

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Market Research Analyst

Market research analysts use data to analyze and interpret market trends. They work with businesses to help them understand their customers and develop products and services that meet their needs. The skills learned in this course, such as data analysis, market research, and interpretation, are essential for success in this role. This course can help you build a foundation in market research and prepare you for a career in this field.

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Actuary

Actuaries use data to assess and manage risk. They work with insurance companies and other financial institutions to help them develop products and services that meet the needs of their customers. The skills learned in this course, such as data analysis, actuarial science, and risk management, are essential for success in this role. This course can help you build a foundation in actuarial science and prepare you for a career in this field.

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Epidemiologist

Epidemiologists use data to investigate the causes and spread of diseases. They work with public health officials to develop and implement strategies to prevent and control diseases. The skills learned in this course, such as data analysis, epidemiology, and biostatistics, are essential for success in this role. This course can help you build a foundation in epidemiology and prepare you for a career in this field.

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Data Governance Analyst

Data governance analysts develop and implement policies and procedures to ensure that data is used in a consistent and ethical manner. They work with businesses and other organizations to help them manage their data effectively. The skills learned in this course, such as data analysis, data governance, and compliance, are essential for success in this role. This course can help you build a foundation in data governance and prepare you for a career in this field.

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Data Architect

Data architects design and build data management systems. They work with businesses and other organizations to help them manage their data efficiently and effectively. The skills learned in this course, such as data analysis, data management, and system design, are essential for success in this role. This course can help you build a foundation in data architecture and prepare you for a career in this field.

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Software Engineer

Software engineers use data to design and develop software applications. They work with businesses and other organizations to help them improve their operations. The skills learned in this course, such as data analysis, software development, and testing, are essential for success in this role. This course can help you build a foundation in software engineering and prepare you for a career in this field.

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Risk Analyst

Risk analysts use data to assess and manage risk. They work with businesses and other organizations to help them identify and mitigate risks. The skills learned in this course, such as data analysis, risk management, and decision making, are essential for success in this role. This course can help you build a foundation in risk analysis and prepare you for a career in this field.

See salaries and explore the career path for Risk Analyst