Visualizing Data with Python

Visualizing Data with Python

Course
en
English
10 h
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Source
  • From www.edx.org
Conditions
  • Self-paced
  • Free Access
  • Fee-based Certificate
More info
  • 5 Sequences
  • Intermediate Level

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Course details

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

Prerequisite

Python Basics for Data Science
Analyzing Data with Python

Instructors

Joseph Santarcangelo
PhD., Data Scientist
IBM

Saishruthi Swaminathan
Data Scientist and Developer Advocate
IBM

Alex Aklson
Ph.D., Data Scientist
IBM

Editor

International Business Machines Corporation, known by its acronym IBM, is an American multinational computer hardware, software and services company.

The company was formed on 16 June 1911 from the merger of the Computing Scale Company and the Tabulating Machine Company under the name Computing Tabulating Recording Company (CTR). It changed its name to International Business Machines Corporation on 14 February 1924. It was given the nickname Big Blue in reference to the dark blue colour long associated with the company. In the 1970s and 1980s, IBM was the world's largest market capitalisation.

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