Acerca de este Curso
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Nivel intermedio

Aprox. 7 horas para completar

Sugerido: 3 weeks of study, 4-5 hours/week...

Inglés (English)

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Habilidades que obtendrás

Python ProgrammingData VirtualizationData Visualization (DataViz)Matplotlib

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. 7 horas para completar

Sugerido: 3 weeks of study, 4-5 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
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.

...
6 videos (Total 27 minutos), 1 reading, 2 quizzes
6 videos
Basic Plotting with Matplotlib4m
Dataset on Immigration to Canada2m
Line Plots3m
1 lectura
Syllabus10m
1 ejercicio de práctica
Introduction to Data Visualization Tools10m
Semana
2
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.

...
6 videos (Total 25 minutos), 4 quizzes
6 videos
Pie Charts4m
Box Plots3m
Scatter Plots4m
2 ejercicios de práctica
Basic Visualization Tools10m
Specialized Visualization Tools10m
Semana
3
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.

...
6 videos (Total 15 minutos), 1 reading, 5 quizzes
6 videos
Introduction to Folium2m
Maps with Markers2m
Choropleth Maps4m
1 lectura
IBM Digital Badge2m
2 ejercicios de práctica
Advanced Visualization Tools10m
Visualizing Geospatial Data10m
4.6
245 revisionesChevron Right

24%

comenzó una nueva carrera después de completar estos cursos

29%

consiguió un beneficio tangible en su carrera profesional gracias a este curso

10%

consiguió un aumento de sueldo o ascenso

Principales revisiones sobre Data Visualization with Python

por RLAug 8th 2018

Excellent tutorials, great labs and fun exercises - visualization is one of the most satisfying things about data science, and it is no surprise that this course is very enjoyable!

por DDMar 3rd 2019

The best course in this specialization, so far. Great balance between theory and practice. Interesting and demanding exercises and assignment. Theory explained in friendly way.

Instructor

Avatar

Alex Aklson

Ph.D., Data Scientist
IBM Developer Skills Network

Acerca de 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....

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

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