We may earn an affiliate commission when you visit our partners.

Ciencia de Datos Aplicada - Curso Capstone

Este curso de proyecto final le dará una idea de lo que atraviesan los científicos de datos en la vida real cuando trabajan con datos. Aprenderá sobre datos de ubicación y diferentes proveedores de datos de ubicación, como Foursquare. Aprenderá cómo realizar llamadas de API RESTful a la API de Foursquare para recuperar datos sobre lugares en diferentes vecindarios de todo el mundo. También aprenderá a ser creativo en situaciones en las que los datos no están disponibles fácilmente al extraer datos web y analizar el código HTML. Utilizará Python y su biblioteca de pandas para manipular datos, lo que lo ayudará a refinar sus habilidades para explorar y analizar datos. Finalmente, se le pedirá que utilice la biblioteca Folium para obtener excelentes mapas de datos geoespaciales y para comunicar sus resultados y hallazgos. Si elige tomar este curso y obtener el certificado del curso de Coursera, también obtendrá una insignia digital de IBM al completar con éxito el curso. OFERTA POR TIEMPO LIMITADO: La suscripción cuesta solo $ 39 USD por mes para acceder a materiales calificados y un certificado.

Enroll now

Or subscribe to Coursera Plus

And get unlimited access to Coursera

Three deals to help you save

We found three deals and offers that may be relevant to this course.

Save money when you learn. All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

Valid until December 12

Annual Subscription Savings

Unlock programs from Google, Microsoft, and IBM and join 77% of learners who reported positive career outcomes.

Only $239!

Valid for a limited time only

Future-proof your career

Access O'Reilly books, live events, courses, and more. Save with an annual subscription.

Take

15%

off

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Builds a strong foundation in location data manipulation, a key skill for data scientists

Uses Python and its pandas library for data manipulation, adding to the learner's skillset

Teaches how to make API calls to Foursquare for real-world data, a relevant skill for many industries

Demonstrates how to extract data from web pages, a valuable skill for data scientists

Emphasizes the use of Folium for creating geospatial maps, an important tool for data visualization

Requires a paid subscription, which may pose a barrier for some learners

Save this course

Save Ciencia de Datos Aplicada - Curso Capstone to your list so you can find it easily later:

Save

Reviews summary

Hands-on capstone course in data science

This course is a hands-on capstone course in data science that provides a practical understanding of the work of data scientists. It covers topics such as location data, RESTful API calls, data manipulation with Python and pandas, and data visualization with Folium. The course is highly practical, with students working on a project that involves using various data science techniques. The course is challenging, but students appreciate the support they receive from their peers and the opportunity to learn from others' experiences. Overall, this course is a valuable learning experience for those interested in pursuing a career in data science.

Supportive community of learners.

"El apoyo de los compañeros en el foro ha sido muy importante."

Challenging but rewarding.

"Muy bueno, fue dificil pero muy satisfactorio."

Hands-on, project-based learning.

"Aprenderá sobre datos de ubicación y diferentes proveedores de datos de ubicación, como Foursquare."

"Utilizará Python y su biblioteca de pandas para manipular datos, lo que lo ayudará a refinar sus habilidades para explorar y analizar datos."

API utilizada está desactualizada.

"La API que hacen usar no funciona con la nueva versión."

"pudimos realizar el proyecto con ella lo cual me reto a buscar a mi mismo solucionar y llegar a conclusiones con el cambio."

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 Ciencia de Datos Aplicada - Curso Capstone with these activities:

Review spatial data basics

Show steps

Review the basics of spatial data to ensure a strong foundation for the course.

Browse courses on Location Data

Show steps

Read through introductory materials on spatial data concepts and terminology.
Complete online tutorials or exercises on spatial data basics.
Review examples of spatial data and their applications.

Follow Foursquare API tutorials

Show steps

Gain hands-on experience with the Foursquare API to prepare for the course.

Browse courses on Foursquare API

Show steps

Find and follow online tutorials or documentation on using the Foursquare API.
Complete practice exercises or projects that involve making API calls to Foursquare.

Practice data manipulation with Pandas

Show steps

Strengthen your data manipulation skills with Pandas to enhance your ability to work with data in the course.

Browse courses on Pandas

Show steps

Complete coding exercises or challenges that involve data manipulation using Pandas.
Work on personal projects or datasets that require data manipulation with Pandas.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Mentor junior data scientists or students

Show steps

Reinforce your knowledge and skills by mentoring others in geospatial data analysis.

Browse courses on Mentoring

Show steps

Volunteer or connect with organizations that provide mentoring opportunities in data science.
Provide guidance and support to junior data scientists or students on geospatial analysis techniques and projects.

Create interactive maps with Folium

Show steps

Develop your ability to create interactive maps and visualizations using Folium, which will be highly relevant to the course.

Browse courses on Folium

Show steps

Explore the Folium library and its features.
Create practice maps or visualizations using Folium.
Work on a project that involves creating interactive maps with Folium.

Write a blog post on geospatial analysis techniques

Show steps

Deepen your understanding of geospatial analysis techniques and enhance your communication skills by writing a blog post.

Browse courses on Geospatial Analysis

Show steps

Research and learn about geospatial analysis techniques.
Write a blog post that explains a specific geospatial analysis technique or application.

Contribute to open-source geospatial projects

Show steps

Gain practical experience in geospatial data analysis and contribute to the open-source community.

Browse courses on Open Source

Show steps

Identify open-source geospatial projects that align with your interests.
Find ways to contribute to these projects, such as bug reporting, documentation writing, or code contributions.

Career center

Learners who complete Ciencia de Datos Aplicada - Curso Capstone will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use a variety of statistical techniques and machine learning algorithms to extract insights from data. This course will help you get started in your journey toward becoming a Data Scientist by providing you with the foundational skills in data analysis and manipulation. You will also become familiar with using Python to work with data on the web and how to use the Folium library to map data. While this course will provide you with a strong foundation for working as a Data Scientist, additional education or experience may be needed for this career.

See salaries and explore the career path for Data Scientist

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze data and make investment decisions. Many Quantitative Analysts work in the financial industry. This course will help you develop the skills you need to get started in your career as a Quantitative Analyst. You will learn how to use Python to collect and clean data, and you will also learn how to use the pandas library to analyze data. While this course will provide you with a strong foundation for working as a Quantitative Analyst, additional education or experience will likely be needed.

See salaries and explore the career path for Quantitative Analyst

Business Analyst

Business Analysts use data analysis to help businesses make better decisions. This course will provide you with the skills you need to become a Business Analyst, including data collection, analysis, and visualization. You will learn how to use Python to collect and clean data, and you will also learn how to use the Folium library to create maps that can be used to communicate your findings. While this course will give you a strong foundation for a career as a Business Analyst, additional education or experience may be needed.

See salaries and explore the career path for Business Analyst

Market Researcher

Market Researchers are responsible for gathering and interpreting data that can be used to make informed marketing decisions. This course will help you learn about data collection and analysis techniques that you can use in your role as a Market Researcher. You will become proficient in using Python for web scraping and working with APIs to gather data, and you will also learn how to analyze data using the pandas library. This course will give you the skills you need to get started in your career as a Market Researcher.

See salaries and explore the career path for Market Researcher

Data Analyst

Data Analysts typically work in a variety of settings and they are responsible for ensuring data quality and presenting the data in a way that is accessible to decision-makers. This course can provide you with the skills that Data Analysts use to collect, clean, and analyze data. Using the programming language Python, you will become familiar with techniques such as web scraping and working with APIs. While this course will provide you with a broad introduction to data analysis, additional education or experience will likely be needed to work as a Data Analyst.

See salaries and explore the career path for Data Analyst

Data Engineer

Data Engineers are responsible for designing, building, and maintaining the infrastructure that is used to store and process data. This course may be useful for those interested in becoming Data Engineers. You will learn how to use Python and the pandas library to transform and manipulate data. You will also learn about data visualization techniques that can be used to communicate your findings. While this course will provide you with a broad introduction to data engineering, additional education or experience will likely be needed to work as a Data Engineer.

See salaries and explore the career path for Data Engineer

Epidemiologist

Epidemiologists investigate the causes of disease and other health problems in populations. This course may be useful for those interested in becoming Epidemiologists. You will learn about data collection and analysis techniques that can be used to investigate the causes of disease. While this course will provide you with a basic introduction to data analysis, additional education or experience will likely be needed to work as an Epidemiologist.

See salaries and explore the career path for Epidemiologist

UX Researcher

UX Researchers are responsible for conducting research to improve the user experience of websites and other products. This course may be useful for those interested in becoming UX Researchers. You will learn about data collection and analysis techniques that can be used to understand user behavior. While this course will provide you with a basic introduction to data analysis, additional education or experience will likely be needed to work as a UX Researcher.

See salaries and explore the career path for UX Researcher

Researcher

Researchers conduct original research to advance knowledge in a particular field. This course may be useful for those interested in becoming Researchers who will work with data. You will learn about data collection and analysis techniques that can be used to conduct research. While this course will provide you with a basic introduction to data analysis, additional education or experience will likely be needed to work as a Researcher.

See salaries and explore the career path for Researcher

Data Journalist

Data Journalists use data to tell stories and inform the public. This course may be useful for those interested in becoming Data Journalists. You will learn about data collection and analysis techniques that can be used to tell compelling stories. While this course will provide you with a basic introduction to data analysis, additional education or experience will likely be needed to work as a Data Journalist.

See salaries and explore the career path for Data Journalist

Statistician

Statisticians collect, analyze, and interpret data to help make informed decisions. This course may be useful for those interested in becoming Statisticians. You will learn about data collection and analysis techniques that can be used to make informed decisions. While this course will provide you with a basic introduction to data analysis, additional education or experience will likely be needed to work as a Statistician.

See salaries and explore the career path for Statistician

Software Engineer

Software Engineers design, build, and maintain software systems. This course may be useful for those interested in becoming Software Engineers who will work with data. You will learn how to use Python to work with data on the web and how to use the Folium library to map data. While this course will provide you with a basic introduction to data analysis, additional education or experience will likely be needed to work as a Software Engineer.

See salaries and explore the career path for Software Engineer

Financial Analyst

Financial Analysts use data to make investment decisions. This course may be useful for those interested in becoming Financial Analysts. You will learn about data collection and analysis techniques that can be used to make informed investment decisions. While this course will provide you with a basic introduction to data analysis, additional education or experience will likely be needed to work as a Financial Analyst.

See salaries and explore the career path for Financial Analyst

Product Manager

Product Managers are responsible for the development and launch of new products. This course may be useful for those interested in becoming Product Managers who will work on data-driven products. You will learn about data collection and analysis techniques that can be used to make informed product decisions. While this course will provide you with a basic introduction to data analysis, additional education or experience will likely be needed to work as a Product Manager.

See salaries and explore the career path for Product Manager

Consultant

Consultants provide advice and guidance to organizations on a variety of topics. This course may be useful for those interested in becoming Consultants who will work with data. You will learn about data collection and analysis techniques that can be used to provide informed advice. While this course will provide you with a basic introduction to data analysis, additional education or experience will likely be needed to work as a Consultant.

See salaries and explore the career path for Consultant

Reading list

We've selected ten 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 Ciencia de Datos Aplicada - Curso Capstone.

Data Science for Business

Save

Provides a comprehensive overview of data science techniques and their applications in business.

Ciencia de Datos Aplicada - Curso Capstone

Three deals to help you save

Good to know

Save this course

Reviews summary

Hands-on capstone course in data science

Activities

Career center

Reading list

Share

Similar courses