Data Visualization with Python

BY
IBM via Coursera

Learn various tools of data visualisation and tell a compelling story with Coursera’s Data Visualization with Python training by IBM.

Lavel

Intermediate

Mode

Online

Duration

5 Weeks

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

The Data Visualisation with Python course, offered by IBM via Coursera, is designed to teach learners how to use Python for creating compelling data visualisations. This course focusses on various Python libraries and tools that are essential for data visualisation, making it suitable for those who want to enhance their data analysis skills. Data Visualisation with Python certification course, offered by IBM has total duration of 20 hours and learners can complete the Data Visualisation with Python certification course at their own pace. 

Students will learn the implementation of data visualisation techniques and plots using Python libraries, such as Matplotlib, Seaborn, and Folium to tell a stimulating story along with generating interactive dashboards, creating different types of charts and others, during the completion of Data Visualisation with Python course, offered by IBM via Coursera. A sharable certificate will be provided. Data Visualisation with Python certification course is available in English and 22 other languages with 11 quizzess and one assignment.

The highlights

  • Videos in English with subtitles in multiple languages
  • IBM digital badge
  • 100% digital course
  • 20 hours of learning
  • Certification available
  • Graded assignments
  • Practice quizzes
  • Financial aid available
  • Reading materials
  • Flexible deadlines
  • Offered by IBM    
  • Free to audit

Program offerings

  • Free to audit
  • Offered by ibm
  • Flexible deadlines
  • Practice quizzes
  • Graded assignments
  • Certification available
  • 100% digital course
  • Ibm digital badge.

Course and certificate fees

The fees for the course Data Visualization with Python is -

HeadAmount in INR
1 monthRs. 4,115
3 monthRs. 8,230
6 monthRs. 12,345

 

certificate availability

Yes

certificate providing authority

Coursera

Who it is for

The Data Visualization with Python course is ideal for data scientists who want to improve their skills.  

What you will learn

Knowledge of python Knowledge of data visualization

Once you complete the Data Visualization with Python syllabus, you will be well versed in:  

  • Visualising data insights in a way that makes sense to people
  • Applying various techniques for a visual representation of data
  • Using Python visualisation libraries such as Folium, Matpotlib, and Seaborn
  • Python programming

The syllabus

Module 1: Introduction to Data Visualisation Tools

Videos
  • Welcome
  • Introduction to Data Visualization
  • Introduction to Matplotlib
  • Basic Plotting with Matplotlib
  • Dataset on Immigration to Canada
  • Line Plots
Readings
  • Syllabus
  • [Optional] Download Jupyter Notebook
Quiz
  • Graded Quiz: Introduction to Data Visualization Tools
  • Practice Quiz: Introduction to Data Visualization Tools
App Items
  • Hands-on Lab: Exploring and Pre-processing a Dataset using Pandas
  • Hands-on Lab: Introduction to Matplotlib and Line Plots
plugin
  • Cheat Sheet: Data Preprocessing Tasks in Pandas & Plot Libraries

Module 2: Basic and Specialized Visualization Tools

Videos
  • Area Plots
  • Histograms
  • Bar Charts
  • Pie Charts
  • Box Plots
  • Scatter Plots
  • Plotting Directly with Matplotlib
Readings
  • Summary: Basic and Specialized Visualization Tools
Quizzes
  • Practice Quiz: Basic Visualization Tools
  • Practice Quiz: Specialized Visualization Tools
  • Graded Quiz: Basic and Specialized Visualization Tools
App Items
  • Hands-on Lab: Area Plots, Histograms, and Bar Charts
  • Hands-on Lab: Pie Charts, Box Plots, Scatter Plots, and Bubble Plots
  • Hands-on Lab: Plotting Directly with Matplotlib
Plugin
  • Cheat Sheet: Plotting with Matplotlib using Pandas

Module 3: Advanced Visualizations and Geospatial Data

Videos
  • Waffle Charts
  • Word Clouds
  • Seaborn and Regression Plots
  • Introduction to Folium
  • Maps with Markers
  • Choropleth Maps
Readings
  • Summary: Advanced Visualizations and Geospatial Data
Quizzes
  • Practice Quiz: Advanced Visualization Tools
  • Practice Quiz: Visualizing Geospatial Data
  • Graded Quiz: Advanced Visualizations and Geospatial Data
App Items
  • Hands-on Lab: Waffle Charts, Word Clouds, and Regression Plots
  • Hands-on Lab: Creating Maps and Visualizing Geospatial Data
Plugin
  • Cheat Sheet: Maps, Waffles, WordCloud and Seaborn

Module 4: Creating Dashboards with Plotly and Dash

Videos
  • Dashboarding Overview
  • Introduction to Plotly
  • Introduction to Dash
  • Make Dashboards Interactive
  • Understanding the Lab Environment
Readings
  • Additional Resources for Dashboards
  • Additional Resources for Plotly
  • Additional Resources for Dash
  • Additional Resources for Interactive Dashboards
  • Summary: Creating Dashboards with Plotly and Dash
Quizzes
  • Practice Quiz: Creating Dashboards with Plotly
  • Practice Quiz: Working with Dash
  • Graded Quiz: Creating Dashboards with Plotly and Dash
App Items
  • Plotly Basics: Scatter, Line, Bar, Bubble, Histogram, Pie, Sunburst
  • Dash Basics: HTML and Core Components
  • Add Interactivity: User Input and Callbacks
  • Flight Delay Time Statistics Dashboard
App Items
  • Overview of Cloud IDE Lab Environment
  • Cheat Sheet: Plotly and Dash

Module 5: Final Project and Exam

readings
  • (Optional)Reading: Common Issues in Dash Application
  • Course Summary
  • Congratulations and Next Steps
  • Thanks from the Course Team
  • IBM Digital Badge
assignment
  • Final Exam: Data Visualization with Python - Timed Quiz
peer review
  • Final Assignment: Part 3 - Submission and Grading
app items
  • Practice Assignment: Part 1 - Analyzing wildfire activities in Australia
  • Practice Assignment: Part 2 - Creating Dashboards
  • Final Assignment: Part 1 - Create Visualizations using Matplotlib, Seaborn & Folium
  • Final Assignment: Part 2 - Create Dashboard with Plotly and Dash
plugins
  • Practice Project Overview
  • Final Project Overview

Admission details

  • Begin your enrollment for the Data Visualization with Python course https://www.coursera.org/learn/python-for-data-visualization
  • Sign in or sign up on Coursera.
  • Select ‘Enroll for free. 
  • Confirm the course name and select a suitable enrolment option. You can either opt to audit the course to start a seven-day free trial or pay the certification fee. 
  • Pay the required fee and begin the course.

Scholarship Details

If you cannot afford to pay the certification fee for the Data Visualization with Python course, you can take financial aid from Coursera. You can apply for it by selecting the ‘financial aid available’ option on the course page and fill in the required details in the online application form. After submission, the Coursera representatives will take about two weeks to reach out.  

How it helps

Joining the Data Visualization with Python training by Coursera will help you develop critical skills like Python programming, Matplotlib, Data visualisation, and Data visualisation (DataViz). The certificate and IBM digital badge you achieve will develop your professional profile and enhance your employability.

Instructors

Ms Saishruthi Swaminathan
Data Scientist
IBM

Other Bachelors, Other Masters

Dr Pooja 1
Instructor
IBM

FAQs

Is the Data Visualization with Python training course offered by the IBM faculty?

Yes. There will be regular practice exercises and graded assignments during the training. However, you'll have to pay for the same. 

What are the benefits of paying the course fee of this programme?

Yes, the Data Visualization with Python training will be taught by Saishruthi Swaminathan and Alex Aklson from IBM. 

Does the course offer an IBM digital badge?

By paying the course fee, you will get access to all the graded assignments and the certificate. 

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