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Visualizing Data with Python
Sobre este cursoOmitir Sobre este curso
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"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!
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Lo que aprenderásOmitir 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 estudiosOmitir 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
- 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