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Data Visualization with Python 

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Data Visualization with Python
 at 
Coursera 
Overview

Learn about data visualization and some of the best practices to keep in mind when creating plots and visuals

Duration

17 hours

Mode of learning

Online

Difficulty level

Intermediate

Credential

Certificate

Data Visualization with Python
 at 
Coursera 
Highlights

  • Earn a certificate of completion from IBM
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Data Visualization with Python
 at 
Coursera 
Course details

What are the course deliverables?
  • Implement data visualization techniques and plots using Python libraries, such as Matplotlib, Seaborn, and Folium to tell a stimulating story
  • Create different types of charts and plots such as line, area, histograms, bar, pie, box, scatter, and bubble
  • Create advanced visualizations such as waffle charts, word clouds, regression plots, maps with markers, & choropleth maps
  • Generate interactive dashboards containing scatter, line, bar, bubble, pie, and sunburst charts using the Dash framework and Plotly library
More about this course
  • In this course you will learn many ways to effectively visualize both small and large-scale data
  • You will be able to take data that at first glance has little meaning and present that data in a form that conveys insights
  • This course will teach you to work with many Data Visualization tools and techniques
  • You will learn to create various types of basic and advanced graphs and charts like: Waffle Charts, Area Plots, Histograms, Bar Charts, Pie Charts, Scatter Plots, Word Clouds, Choropleth Maps, and many more
  • You will also create interactive dashboards that allow even those without any Data Science experience to better understand data, and make more effective and informed decisions
  • You will learn hands-on by completing numerous labs and a final project to practice and apply the many aspects and techniques of Data Visualization using Jupyter Notebooks and a Cloud-based IDE
  • You will use several data visualization libraries in Python, including Matplotlib, Seaborn, Folium, Plotly & Dash
Read more

Data Visualization with Python
 at 
Coursera 
Curriculum

Introduction to Data Visualization Tools

Welcome

Introduction to Data Visualization

Introduction to Matplotlib

Basic Plotting with Matplotlib

Dataset on Immigration to Canada

Line Plots

Basic and Specialized Visualization Tools

Area Plots

Histograms

Bar Charts

Pie Charts

Box Plots

Scatter Plots

Advanced Visualizations and Geospatial Data

Waffle Charts

Word Clouds

Seaborn and Regression Plots

Introduction to Folium

Maps with Markers

Choropleth Maps

Creating Dashboards with Plotly and Dash

Dashboarding Overview

Introduction to Plotly

Introduction to Dash

Make dashboards interactive

Final Project and Exam

IBM Digital Badge

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Data Visualization with Python
 at 
Coursera 
Faculty details

Saishruthi Swaminathan
Saishruthi Swaminathan is a data scientist and developer advocate in the IBM CODAIT team whose main focus is to democratize data and AI through open source technologies.

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Data Visualization with Python
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Students Ratings & Reviews

5/5
Verified Icon2 Ratings
R
RASIKA PINGLIKAR
Data Visualization with Python
Offered by Coursera
5
Learning Experience: So the overall experience was excellent. Directly working on guess project help to build interest while learning the course. The coursera project network is the best platform to learn while doing it by yourself. This experience was the best !!!
Faculty: The faculty was the best , clear with instructions, knowledge and smooth handling throughout the coding and programme. As I said, it was a complete guided project which helps to create interest. The instructor is very clear with his knowledge and experience in the same.
Course Support: It basically first created interest and help to build proficiency in the data visualization using
Reviewed on 13 Jan 2023Read More
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Data Visualization with Python
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