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Iván Pinar Domínguez
Al final de este proyecto, podrás importar fuentes básicas de datos en Python y crear potentes visualizaciones a partir de su información y con muy pocas instrucciones de código.
En este proyecto guiado aprenderá qué es el Data Science y cómo podemos dominarlo con el lenguaje Python desde cero.
Python tiene un inmenso potencial con todas las librerías enfocadas en Data Science que le harán cambiar su día a día en el análisis de datos aportándole un salto cualitativo en su carrera profesional mejorando sustancialmente sus habilidades analíticas de manera muy eficiente.
Register for this course and see more details by visiting:
OpenCourser.com/course/ot0kw8/como
What's inside
Syllabus
Visión general del proyecto
Al final de este proyecto, podrás importar fuentes básicas de datos en Python y crear potentes visualizaciones a partir de su información y con muy pocas instrucciones de código.
En este proyecto guiado aprenderá qué es el Data Science y cómo podemos dominarlo con el lenguaje Python desde cero.
Python tiene un inmenso potencial con todas las librerías enfocadas en Data Science que le harán cambiar su día a día en el análisis de datos aportándole un salto cualitativo en su carrera profesional mejorando sustancialmente sus habilidades analíticas de manera muy eficiente.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Presenta una visión general de la ciencia de datos, apropiada para principiantes
Enseña los fundamentos de Python para el análisis de datos, lo que proporciona una base para el aprendizaje adicional
Permite a los alumnos visualizar datos e identificar patrones, lo que fomenta las habilidades analíticas
Utiliza únicamente instrucciones de código sencillas, lo que lo hace accesible para principiantes en programación
Save this course
Save Cómo importar datos y crear visualizaciones en Python to your list so you can find it easily later:
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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 Cómo importar datos y crear visualizaciones en Python with these
activities:
Review basic probability and statistics concepts
Show steps
Strengthen your foundation in probability and statistics, which are essential concepts for data science and analysis.
Browse courses on
Probability and Statistics
Show steps
-
Review probability distributions, measures of central tendency, and statistical inference.
-
Solve practice problems or examples to reinforce your understanding.
Review Python basics
Show steps
Brush up on the fundamentals of Python to ensure a strong foundation for the course.
Browse courses on
Python Basics
Show steps
-
Revisit basic data types, operators, and control flow in Python.
-
Solve simple coding challenges or puzzles to test your understanding.
Follow Python tutorials for data analysis
Show steps
Explore guided tutorials to enhance your practical skills in data analysis using Python.
Show steps
-
Identify online tutorials or courses that cover data analysis in Python.
-
Work through the tutorials, following the instructions and implementing the code.
-
Practice manipulating and visualizing data using Python libraries.
One other activity
Expand to see all activities and additional details
Show all four activities
Create data visualizations from scratch
Show steps
Demonstrate your proficiency in data visualization by creating charts and graphs from scratch using Python libraries.
Browse courses on
Data Visualization
Show steps
-
Import data into Python and explore it using data analysis techniques.
-
Choose appropriate data visualization techniques for the data.
-
Create visualizations using Python libraries such as Matplotlib or Seaborn.
Review basic probability and statistics concepts
Show steps
Strengthen your foundation in probability and statistics, which are essential concepts for data science and analysis.
Browse courses on
Probability and Statistics
Show steps
Show steps
Show steps
- Review probability distributions, measures of central tendency, and statistical inference.
- Solve practice problems or examples to reinforce your understanding.
Review Python basics
Show steps
Brush up on the fundamentals of Python to ensure a strong foundation for the course.
Browse courses on
Python Basics
Show steps
Show steps
Show steps
- Revisit basic data types, operators, and control flow in Python.
- Solve simple coding challenges or puzzles to test your understanding.
Follow Python tutorials for data analysis
Show steps
Explore guided tutorials to enhance your practical skills in data analysis using Python.
Show steps
Show steps
Show steps
- Identify online tutorials or courses that cover data analysis in Python.
- Work through the tutorials, following the instructions and implementing the code.
- Practice manipulating and visualizing data using Python libraries.
One other activity
Expand to see all activities and additional details
Show all four activities
Create data visualizations from scratch
Show steps
Demonstrate your proficiency in data visualization by creating charts and graphs from scratch using Python libraries.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Import data into Python and explore it using data analysis techniques.
- Choose appropriate data visualization techniques for the data.
- Create visualizations using Python libraries such as Matplotlib or Seaborn.
Career center
Learners who complete Cómo importar datos y crear visualizaciones en Python will develop knowledge and skills
that may be useful to these careers:
Data Visualization Specialist
Data Visualization Specialist
As a Data Visualization Specialist, Python is your secret weapon for creating stunning and informative visualizations. This course can help you enhance your Python skills and apply them to design, develop, and present data visualizations that tell compelling stories. It's like having a superpower to turn data into captivating visuals!
Data Scientist
Data Scientist
As a Data Scientist, proficiency in Python is essential. This course can help build a foundation in Python, allowing you to use it for data manipulation, statistical modeling, and more. It's like having a superpower to unlock the secrets hidden within data!
Data Architect
Data Architect
As a Data Architect, Python is your tool of choice for designing and managing data systems. This course can help you enhance your Python skills and apply them to design, build, and maintain data pipelines, data warehouses, and data lakes. It's like having a superpower to shape the future of data!
Data Engineer
Data Engineer
As a Data Engineer, Python is your key to manage and process large datasets. This course can help you enhance your Python skills and apply them to design and build data pipelines, handle data storage, and ensure data quality. It's like having a superpower to make data ready for analysis and insights!
Machine Learning Engineer
Machine Learning Engineer
As a Machine Learning Engineer, Python is your secret weapon for developing AI solutions. This course can enhance your Python skills and help you apply them to create predictive models and solve complex problems. It's like having a superpower to make machines learn!
Data Analyst
Data Analyst
As a Data Analyst, you can leverage your Python skills to analyze data for trends and patterns. This course will provide you with the necessary knowledge to import data, analyze it and create informative visualizations that can aid in decision-making. It's like having a superpower to turn complex data into actionable insights!
Operations Research Analyst
Operations Research Analyst
As an Operations Research Analyst, Python is your key to solve complex business problems. This course can help you enhance your Python skills and apply them to build optimization models, analyze data, and make data-driven decisions. It's like having a superpower to improve efficiency and decision-making!
Statistician
Statistician
As a Statistician, Python is your secret weapon for data analysis and research. This course can help you enhance your Python skills and apply them to collect, analyze, and interpret data to derive meaningful insights. It's like having a superpower to uncover hidden truths from data!
Financial Analyst
Financial Analyst
As a Financial Analyst, Python is your secret weapon for financial modeling and data analysis. This course can help you enhance your Python skills and apply them to build financial models, analyze financial data, and make informed investment decisions. It's like having a superpower to predict financial outcomes!
Quantitative Analyst
Quantitative Analyst
As a Quantitative Analyst, Python is your secret weapon for financial modeling. This course can help you enhance your Python skills and apply them to analyze financial data, build models, and make informed decisions. It's like having a superpower to predict market trends!
Actuary
Actuary
As an Actuary, Python can help you analyze and manage financial risks. This course can help you enhance your Python skills and apply them to develop actuarial models, analyze insurance data, and make informed risk assessments. It's like having a superpower to predict and mitigate financial risks!
Market Research Analyst
Market Research Analyst
As a Market Research Analyst, Python can help you analyze consumer data and market trends. This course can help you enhance your Python skills and apply them to collect, analyze, and interpret data to inform marketing strategies. It's like having a superpower to understand market behavior!
Business Analyst
Business Analyst
As a Business Analyst, Python can help you bridge the gap between technical and business teams. This course can help you enhance your Python skills and apply them to analyze data, identify trends, and support decision-making. It's like having a superpower to turn data into actionable insights for your business!
Computer Scientist
Computer Scientist
As a Computer Scientist, Python is your key to innovation in a wide range of fields. This course can help you enhance your Python skills and apply them to design, develop, and implement cutting-edge software and algorithms. It's like having a superpower to shape the future of technology!
Software Engineer
Software Engineer
As a Software Engineer, Python is your tool of choice for building scalable software. This course can help you enhance your Python skills and apply them to design, develop, and maintain software solutions. It's like having a superpower to create software that meets real-world needs!
For more career information including salaries, visit:
OpenCourser.com/course/ot0kw8/como
Reading list
We've selected 11 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
Cómo importar datos y crear visualizaciones en Python.
Este libro aborda los fundamentos de la ciencia de datos desde cero, centrándose en el uso de Python. Es ideal para principiantes que buscan una introducción integral al campo.
Este libro proporciona una guía práctica para el aprendizaje automático con Python utilizando bibliotecas populares como Scikit-Learn, Keras y TensorFlow. Se enfoca en aplicaciones prácticas, complementando los conceptos introducidos en el curso.
Este libro ofrece una introducción accesible a la programación en Python. Es un recurso valioso para los principiantes que buscan familiarizarse con el lenguaje.
Save
Este libro es un texto introductorio integral sobre programación en Python. Proporciona una base sólida en los principios de programación y es útil para principiantes que buscan comprender los fundamentos.
Este libro es una referencia completa para la ciencia de datos con Python. Cubre una amplia gama de temas, desde la importación de datos hasta el aprendizaje automático avanzado.
Este libro es una guía completa para el análisis de datos con Python. Cubre métodos de manipulación y visualización de datos, así como técnicas de aprendizaje automático.
Save
Este libro es un recurso especializado para usuarios de pandas. Proporciona técnicas avanzadas para manipular y analizar datos con esta biblioteca.
Este libro cubre técnicas avanzadas de aprendizaje automático con Python. Es adecuado para estudiantes que buscan profundizar sus conocimientos en este campo.
Este libro es un recurso integral para los métodos estadísticos utilizados en la ciencia de datos. Proporciona una base sólida en conceptos estadísticos avanzados.
Save
Este libro cubre técnicas de minería de datos con Python. Es una lectura valiosa para los estudiantes que buscan especializarse en minería de datos.
Este libro cubre técnicas de aprendizaje profundo con Python. Es adecuado para estudiantes interesados en aprender sobre redes neuronales y aprendizaje automático profundo.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ot0kw8/como
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Effort
2 horas
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Iván Pinar Domínguez
Language
Español
Good to know
Presenta una visión general de la ciencia de datos, apropiada para principiantes
Enseña los fundamentos de Python para el análisis de datos, lo que proporciona una base para el aprendizaje adicional
Permite a los alumnos visualizar datos e identificar patrones, lo que fomenta las habilidades analíticas
Utiliza únicamente instrucciones de código sencillas, lo que lo hace accesible para principiantes en programación
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