We may earn an affiliate commission when you visit our partners.
Introducción a Pandas para Data Science
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...
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...
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/tfjd1o/introduccion
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces fundamental data analysis concepts and tools, which is a core competency for data scientists and machine learning engineers
Taught by Juan Pablo Yepes, who is an experienced data scientist and instructor
Provides hands-on experience with the Pandas library, an essential skill for data manipulation and analysis
Develops a strong foundation in data analysis principles, which can be applied to various industries and fields
Enhances learner's ability to critically analyze data and extract meaningful insights
Requires no prior data analysis experience, making it accessible to beginners
Save this course
Save Introducción a Pandas para Data Science to your list so you can find it easily later:
Save
Save
Reviews summary
Beginner-friendly pandas intro
This course did not leave a good impression on learners, who found it poorly executed.
Learners who left feedback indicated that the course's poor content and mediocre instruction were its main flaws. Some reviewers mentioned that the content felt incomplete, potentially leaving learners dissatisfied with the overall experience.
With more examples, better explanations, and clearer content, this course could improve significantly.
Activities
Coming soon
We're preparing activities for
Introducción a Pandas para Data Science.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Introducción a Pandas para Data Science will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data. This course helps build a foundation for working with data, performing analysis, and creating visualizations. These are all skills that are essential for a Data Scientist.
Statistician
Statistician
A Statistician collects, analyzes, interprets, and presents data. This course helps build a foundation for working with data, performing analysis, and creating visualizations. These are all skills that are essential for a Statistician.
Data Visualization Specialist
Data Visualization Specialist
A Data Visualization Specialist creates visual representations of data to help people understand it. This course helps build a foundation for working with data, performing analysis, and creating visualizations. These are all skills that are essential for a Data Visualization Specialist.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and maintains machine learning models. This course helps build a foundation for working with data, performing analysis, and creating visualizations. These are all skills that are essential for a Machine Learning Engineer.
Data Journalist
Data Journalist
A Data Journalist uses data to tell stories and inform the public. This course helps build a foundation for working with data, performing analysis, and creating visualizations. These are all skills that are essential for a Data Journalist.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses data to solve problems and improve efficiency in organizations. This course helps build a foundation for working with data, performing analysis, and creating visualizations. These are all skills that are essential for an Operations Research Analyst.
Data Engineer
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines and systems. This course helps build a foundation for working with data, performing analysis, and creating visualizations. These are all skills that are essential for a Data Engineer.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst develops and applies mathematical and statistical models to financial data to identify investment opportunities. This course helps build a foundation for working with data, performing analysis, and creating visualizations. These are all skills that are essential for a Quantitative Analyst.
Market Researcher
Market Researcher
A Market Researcher collects, analyzes, and interprets data to help businesses understand their customers. This course helps build a foundation for working with data, performing analysis, and creating visualizations. These are all skills that are essential for a Market Researcher.
Business Analyst
Business Analyst
A Business Analyst uses data to identify opportunities and solve problems for businesses. This course helps build a foundation for working with data, performing analysis, and creating visualizations. These are all skills that are essential for a Business Analyst.
Epidemiologist
Epidemiologist
An Epidemiologist studies the distribution and patterns of health-related states or events in a population. This course helps build a foundation for working with data, performing analysis, and creating visualizations. These are all skills that are essential for an Epidemiologist.
Financial Analyst
Financial Analyst
A Financial Analyst uses data to evaluate investments and make recommendations to clients. This course helps build a foundation for working with data, performing analysis, and creating visualizations. These are all skills that are essential for a Financial Analyst.
Biostatistician
Biostatistician
A Biostatistician uses statistics to solve problems in the field of biology. This course helps build a foundation for working with data, performing analysis, and creating visualizations. These are all skills that are essential for a Biostatistician.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software systems. This course helps build a foundation for working with data, performing analysis, and creating visualizations. These are all skills that can be useful for a Software Engineer, particularly those who work on data-intensive applications.
Data Analyst
Data Analyst
A Data Analyst collects, processes, and analyzes data. They then convey the findings to stakeholders in a clear and concise way. This course, "Introduction to Pandas for Data Science", may be useful for this role as it helps build a foundation for working with data, performing analysis, and creating visualizations.
For more career information including salaries, visit:
OpenCourser.com/course/tfjd1o/introduccion
Reading list
We've selected six 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
Introducción a Pandas para Data Science.
Provides a comprehensive introduction to Python for data analysis, covering topics such as data cleaning, data manipulation, and data visualization. It valuable resource for beginners who want to learn the basics of data analysis with Python.
Provides a concise and practical introduction to Pandas, covering topics such as data structures, data manipulation, and data analysis. It good choice for beginners who want to learn the basics of Pandas quickly and easily.
Provides a comprehensive introduction to data science, covering topics such as data cleaning, data manipulation, and data analysis. It valuable resource for beginners who want to learn the basics of data science.
Provides a comprehensive introduction to machine learning with Python, covering topics such as supervised learning, unsupervised learning, and deep learning. It valuable resource for beginners who want to learn the basics of machine learning with Python.
Provides a comprehensive introduction to machine learning with Python, covering topics such as supervised learning, unsupervised learning, and deep learning. It valuable resource for beginners who want to learn the basics of machine learning with Python.
Provides a comprehensive introduction to deep learning with Python, covering topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. It valuable resource for beginners who want to learn the basics of deep learning with Python.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/tfjd1o/introduccion
Share
Similar courses
Here are nine courses similar to
Introducción a Pandas para Data Science.
Creación de Tablas de Base de Datos con SQL
OpenCourser.com/course/h4cjc8/creacion
Creación de Tablas de Base de Datos con SQL
Most relevant
Análisis exploratorio de datos con Python y Pandas
OpenCourser.com/course/o402tv/analisis
Análisis exploratorio de datos con Python y Pandas
Most relevant
Crear tablas de bases de datos relacionales con SQLiteStudio
OpenCourser.com/course/hppi20/crear
Crear tablas de bases de datos relacionales con...
Most relevant
Proyecto Final de Analítica de Datos
OpenCourser.com/course/zswjfh/proyecto
Proyecto Final de Analítica de Datos
Most relevant
Python para el análisis de datos: Pandas y NumPy
OpenCourser.com/course/cx9cui/python
Python para el análisis de datos: Pandas y NumPy
Most relevant
Regresión logística con NumPy y Python
OpenCourser.com/course/3ux177/regresion
Regresión logística con NumPy y Python
Most relevant
Ánalisis de Marketing con Power BI: Visualizando Campañas
OpenCourser.com/course/xism1o/analisis
Ánalisis de Marketing con Power BI: Visualizando Campañas
Most relevant
Crear una hoja para la Gestión de Proyectos en Google Sheets
OpenCourser.com/course/dbbpvl/crear
Crear una hoja para la Gestión de Proyectos en Google...
Most relevant
Crear un plan de gestion de comunicaciones con Docs Google
OpenCourser.com/course/31ihdj/crear
Crear un plan de gestion de comunicaciones con Docs Google
Most relevant
Time
1 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Juan Pablo Yepes
Good to know
Introduces fundamental data analysis concepts and tools, which is a core competency for data scientists and machine learning engineers
Taught by Juan Pablo Yepes, who is an experienced data scientist and instructor
Provides hands-on experience with the Pandas library, an essential skill for data manipulation and analysis
Develops a strong foundation in data analysis principles, which can be applied to various industries and fields
Enhances learner's ability to critically analyze data and extract meaningful insights
Requires no prior data analysis experience, making it accessible to beginners
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser