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Análisis exploratorio de datos con Python y Pandas
Juan Pablo Yepes
Juan Pablo Yepes
En este proyecto guiado obtendrás experiencia práctica trabajando con la librería Pandas y creando tu propio cuaderno de Jupyter Lab. Los conocimientos básicos que obtengas te permitirán trabajar con cualquier base de datos para analizar la información. Al final de este proyecto serás capaz de crear tus propios cuadernos con análisis estadísticos de diferentes bases de datos.
Read more
En este proyecto guiado obtendrás experiencia práctica trabajando con la librería Pandas y creando tu propio cuaderno de Jupyter Lab. Los conocimientos básicos que obtengas te permitirán trabajar con cualquier base de datos para analizar la información. Al final de este proyecto serás capaz de crear tus propios cuadernos con análisis estadísticos de diferentes bases de datos.
Read more
En este proyecto guiado obtendrás experiencia práctica trabajando con la librería Pandas y creando tu propio cuaderno de Jupyter Lab. Los conocimientos básicos que obtengas te permitirán trabajar con cualquier base de datos para analizar la información. Al final de este proyecto serás capaz de crear tus propios cuadernos con análisis estadísticos de diferentes bases de datos.
Nota: Este curso está dirigido a personas que buscan iniciarse en el mundo de la ciencia de datos o el machine learning.
Register for this course and see more details by visiting:
OpenCourser.com/course/o402tv/analisis
What's inside
Syllabus
Análisis exploratorio de datos con Python y Pandas
En este proyecto guiado obtendrás experiencia práctica en el análisis exploratorio de datos usando diferentes librerías con la librerías como Numpy y Pandas para crear tu propio cuaderno de Jupyter Lab. Los conocimientos básicos que obtengas te permitirán trabajar con cualquier base de datos para analizar la información. Al final de este proyecto serás capaz de crear tus propios cuadernos con análisis estadísticos de diferentes set de datos.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Dirigido a personas que buscan iniciarse en el mundo de la ciencia de datos o el machine learning
Proporciona experiencia práctica en el análisis exploratorio de datos utilizando librerías como Numpy y Pandas
Permite crear cuadernos propios con análisis estadísticos de diferentes bases de datos
Recurre a un enfoque práctico con un proyecto guiado
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Reviews summary
Practical pandas project
The course is simple but well-explained and offers an excellent practice environment using Pandas and Jupyter Notebooks.
Offers a very practical experience.
"Excelente práctica"
Simple but well-explained course.
"El curso es sencillo pero bien explicado"
Activities
Coming soon
We're preparing activities for
Análisis exploratorio de datos con Python y Pandas.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Análisis exploratorio de datos con Python y Pandas will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
A Data Analyst takes raw data and transforms it into formats that can be easily interpreted and understood, usually through the use of dashboards and visualizations. This course on exploratory data analysis with Python and Pandas can help you become more proficient in working with data and uncovering insights from it, which is a core part of being a successful Data Analyst.
Data Scientist
Data Scientist
Data Scientists are responsible for developing and implementing data-driven solutions to business problems. This course on exploratory data analysis with Python and Pandas can help build a foundation in working with data, which is essential for success in this role.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and deploy machine learning models to solve business problems. This course on exploratory data analysis with Python and Pandas can help build a foundation in working with data, as well as an understanding of how to prepare data for machine learning models.
Market Researcher
Market Researcher
Market Researchers conduct research to understand consumer behavior and trends. This course on exploratory data analysis with Python and Pandas can help develop skills in data analysis and interpretation, which are essential for this role.
Business Analyst
Business Analyst
Business Analysts use data to identify and solve business problems. This course on exploratory data analysis with Python and Pandas can provide foundational skills in data analysis, allowing you to gather, clean, and interpret data to make recommendations for business improvements.
Statistician
Statistician
Statisticians collect, analyze, interpret, and present data. This course on exploratory data analysis with Python and Pandas can help provide foundational skills in data analysis and statistics, preparing you for success in this field.
Data Engineer
Data Engineer
Data Engineers design and build systems to store, process, and analyze data. This course on exploratory data analysis with Python and Pandas can provide foundational skills in data handling and analysis, preparing you for success in this field.
Financial Analyst
Financial Analyst
Financial Analysts use data to make recommendations on investments and financial decisions. This course on exploratory data analysis with Python and Pandas can help build a foundation in financial data analysis, a critical skill for this role.
Auditor
Auditor
Auditors examine financial records to ensure accuracy and compliance. This course on exploratory data analysis with Python and Pandas may be useful for developing skills in data analysis and identifying anomalies, which can be helpful in this role.
Operations Analyst
Operations Analyst
Operations Analysts use data to identify inefficiencies and improve business processes. This course on exploratory data analysis with Python and Pandas provides foundational knowledge in data analysis, which can be useful for this role.
Actuary
Actuary
Actuaries assess risk and uncertainty to develop financial plans. This course on exploratory data analysis with Python and Pandas may be useful for understanding data analysis concepts, which can be helpful in this role.
Systems Analyst
Systems Analyst
Systems Analysts design and implement computer systems to meet business needs. This course on exploratory data analysis with Python and Pandas may provide some helpful skills in data analysis, which can be useful for understanding user needs and requirements.
User Experience Researcher
User Experience Researcher
User Experience Researchers conduct research to understand how users interact with products and services. This course on exploratory data analysis with Python and Pandas may provide helpful skills in data analysis and interpretation, which can be useful in this role.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course on exploratory data analysis with Python and Pandas may provide helpful skills in data analysis and problem-solving, which can be useful in this role.
Project Manager
Project Manager
Project Managers plan and execute projects to achieve specific goals. This course on exploratory data analysis with Python and Pandas may provide helpful skills in data analysis and problem-solving, which can be useful in this role.
For more career information including salaries, visit:
OpenCourser.com/course/o402tv/analisis
Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Análisis exploratorio de datos con Python y Pandas.
Este libro es una guía práctica para usar Python para el análisis de datos. Cubre temas como la instalación y configuración de Python, la manipulación y limpieza de datos, el análisis exploratorio de datos y la visualización.
Provides a comprehensive introduction to machine learning with Python. It covers topics such as data preprocessing, model selection, model evaluation, and deployment.
Provides a comprehensive introduction to deep learning with Python. It covers topics such as neural networks, convolutional neural networks, recurrent neural networks, and deep learning models.
Provides a comprehensive introduction to data science for business. It covers topics such as data collection, data cleaning, data analysis, and data visualization.
Provides a comprehensive introduction to data science from scratch. It covers topics such as data collection, data cleaning, data analysis, and data visualization.
Provides a comprehensive introduction to machine learning with Scikit-Learn, Keras, and TensorFlow. It covers topics such as data preprocessing, model selection, model evaluation, and deployment.
Provides a comprehensive introduction to deep learning with Python and Keras. It covers topics such as neural networks, convolutional neural networks, recurrent neural networks, and deep learning models.
Provides a comprehensive introduction to data science for business with Python. It covers topics such as data collection, data cleaning, data analysis, and data visualization.
Provides a comprehensive introduction to natural language processing with Python. It covers topics such as text processing, natural language understanding, and natural language generation.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/o402tv/analisis
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Effort
1 Hora
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Juan Pablo Yepes
Language
Español
Good to know
Dirigido a personas que buscan iniciarse en el mundo de la ciencia de datos o el machine learning
Proporciona experiencia práctica en el análisis exploratorio de datos utilizando librerías como Numpy y Pandas
Permite crear cuadernos propios con análisis estadísticos de diferentes bases de datos
Recurre a un enfoque práctico con un proyecto guiado
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