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Visualizing Data with Python

IBM via edX

1 Review 146 students interested

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Overview

"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.

You can start creating your own data science projects and collaborating with other data scientists using IBM Watson Studio. When you sign up, you get free access to Watson Studio. Start now and take advantage of this platform.

Syllabus

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

Taught by

Alex Aklson

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Review for edX's Visualizing Data with Python
1.0 Based on 1 reviews

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Kurp K
1.0 6 months ago
Kurp completed this course, spending 3 hours a week on it and found the course difficulty to be medium.
This course belongs to series of 4-5 courses delivered by IBM. But this one was very disappointing. Made by other person then 2 previous courses, it's much worse in explaining its subject. Visualization tools operates with some logic and "grammar", which should be properly explained to allow users build their knowledge and practice more advanced methods. In this case some basic concepts and tools are mixed with complex code lacking a proper clarification. You can finish the course and still understand nothing about building blocks in matplotlib.

As edX edition of the course did not offer access to Graded Review Questions, I've moved to CognitiveClass platform (by IBM) where the course is currently available for free including certificates, without any limitations, in the exactly same formula as edX edition.
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