Ir al contenido principal

Visualizing Data with Python

Data visualization is the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general.

Visualizing Data with Python

Hay una sesión disponible:

¡Ya se inscribieron 50,831! Una vez finalizada la sesión del curso, será archivado.
Comienza el Jul 28
5 semanas estimadas
2–4 horas por semana
A tu ritmo
Avanza a tu ritmo
Gratis
Cambio opcional de categoría disponible

Sobre este curso

Omitir Sobre este curso

Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

"A picture is worth a thousand words." We are all familiar with this expression. It especially applies when trying to explain the insights obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data.

One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way.

In this course, you will learn how to leverage a software tool to visualize data that will also enable you to extract information, better understand the data, and make more effective decisions.

When you sign up for this course, you get free access to IBM Watson Studio. In Watson Studio, you’ll be able to start creating your own data science projects and collaborating with other data scientists. Start now and take advantage of everything this platform has to offer!

Premios

Visualizando datos con Python

De un vistazo

  • Institución: IBM
  • Tema:Análisis de datos
  • Nivel:Intermediate
  • Prerrequisitos:

    Python Basics for Data Science
    Analyzing Data with Python

  • Idioma:English

Lo que aprenderás

Omitir Lo que aprenderás
  • How to present data using some of the data visualization libraries in Python, including Matplotlib, Seaborn, and Folium
  • How to use basic visualization tools, including area plots, histograms, and bar charts
  • How to use specialized visualization tools, including pie charts, box plots, scatter plots, and bubble plots
  • How to use advanced visualization tools, including waffle charts, word clouds, and Seaborn and regression plots
  • How to create maps and visualize geospatial data

Plan de estudios

Omitir Plan de estudios

Module 1 -Introduction to Visualization Tools

  • Introduction to Data Visualization
  • Introduction to Matplotlib
  • Basic Plotting with Matplotlib
  • Dataset on Immigration to Canada
  • Line Plots

Module 2 -Basic Visualization Tools

  • Area Plots
  • Histograms
  • Bar Charts

Module 3 -Specialized Visualization Tools

  • Pie Charts
  • Box Plots
  • Scatter Plots
  • Bubble Plots

Module 4 -Advanced Visualization Tools

  • Waffle Charts
  • Word Clouds
  • Seaborn and Regression Plots

Module 5 -Creating Maps and Visualizing Geospatial Data

  • Introduction to Folium
  • Maps with Markers
  • Choropleth Maps

Acerca de los instructores

¿Te interesa este curso para tu negocio o equipo?

Capacita a tus empleados en los temas más solicitados con edX para Negocios.