"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data.
ofrecido por
IBMAcerca de este Curso
655,725 vistas recientes
Resultados profesionales del estudiante
27%
comenzó una nueva carrera después de completar estos cursos
35%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
11%
consiguió un aumento de sueldo o ascenso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Aprox. 16 horas para completar
Inglés (English)
Subtítulos: Inglés (English), Vietnamita
Habilidades que obtendrás
Python ProgrammingData VirtualizationData Visualization (DataViz)Matplotlib
Resultados profesionales del estudiante
27%
comenzó una nueva carrera después de completar estos cursos
35%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
11%
consiguió un aumento de sueldo o ascenso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Aprox. 16 horas para completar
Inglés (English)
Subtítulos: Inglés (English), Vietnamita
ofrecido por
IBM
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
Programa - Qué aprenderás en este curso
2 horas para completar
Introduction to Data Visualization Tools
In this module, you will learn about data visualization and some of the best practices to keep in mind when creating plots and visuals. You will also learn about the history and the architecture of Matplotlib and learn about basic plotting with Matplotlib. In addition, you will learn about the dataset on immigration to Canada, which will be used extensively throughout the course. Finally, you will briefly learn how to read csv files into a pandas dataframe and process and manipulate the data in the dataframe, and how to generate line plots using Matplotlib.
2 horas para completar
6 videos (Total 27 minutos), 2 lecturas, 2 cuestionarios
6 videos
Welcome4m
Introduction to Data Visualization4m
Introduction to Matplotlib6m
Basic Plotting with Matplotlib4m
Dataset on Immigration to Canada2m
Line Plots3m
2 lecturas
Syllabus10m
[Optional] Download Jupyter Notebook10m
1 ejercicio de práctica
Introduction to Data Visualization Tools10m
3 horas para completar
Basic and Specialized Visualization Tools
In this module, you learn about area plots and how to create them with Matplotlib, histograms and how to create them with Matplotlib, bar charts, and how to create them with Matplotlib, pie charts, and how to create them with Matplotlib, box plots and how to create them with Matplotlib, and scatter plots and bubble plots and how to create them with Matplotlib.
3 horas para completar
6 videos (Total 25 minutos), 2 lecturas, 4 cuestionarios
2 lecturas
[Optional] Download JupyterNotebook10m
[Optional] Download Jupyter Notebook10m
2 ejercicios de práctica
Basic Visualization Tools10m
Specialized Visualization Tools10m
11 horas para completar
Advanced Visualizations and Geospatial Data
In this module, you will learn about advanced visualization tools such as waffle charts and word clouds and how to create them. You will also learn about seaborn, which is another visualization library, and how to use it to generate attractive regression plots. In addition, you will learn about Folium, which is another visualization library, designed especially for visualizing geospatial data. Finally, you will learn how to use Folium to create maps of different regions of the world and how to superimpose markers on top of a map, and how to create choropleth maps.
11 horas para completar
6 videos (Total 15 minutos), 3 lecturas, 5 cuestionarios
6 videos
Word Clouds1m
Seaborn and Regression Plots2m
Introduction to Folium2m
Maps with Markers2m
Choropleth Maps4m
3 lecturas
[Optional] Download Jupyter Notebook10m
[Optional] Download Jupyter Notebook10m
IBM Digital Badge2m
2 ejercicios de práctica
Advanced Visualization Tools10m
Visualizing Geospatial Data10m
Revisiones
Principales revisiones sobre DATA VISUALIZATION WITH PYTHON
por DM14 de mar. de 2020
Good course, some of the lab assignments did not load properly so it was difficult to practice... (week 2 & 3). Assignment was good after using Jupyter Notebooks as the scripting interface. Thank you!
por SS20 de nov. de 2019
It's a really great course with proper hands on time and the assignments are great too. i got enough opportunity to explore the things which were taught in the course. Really Satisfied. Thanks :)
por MN15 de may. de 2019
More in class projects similar to final assignment where we can challenge our knowledge as we are all remote and it takes time to communicate through the available coursera forums. Thank you.
por MH7 de jun. de 2020
The labs were good but the issue was the extremely rushed up videos. A lot of concepts, especially the artist layer was not covered will in the videos, which made me give this course 4 stars.
Preguntas Frecuentes
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Certificate?
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.
© 2020 Coursera Inc. Todos los derechos reservados.
