Data Visualization with Python by IBM via Coursera: Fee, Duration, How to Apply

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.

Course and certificate fees

The fees for the course Data Visualization with Python is -

Head	Amount in INR
1 month	Rs. 4,122
3 month	Rs. 8,244
6 month	Rs. 12,367

certificate availability

Yes

certificate providing authority

Coursera

Who it is for

Data analyst Data scientist Python programmer

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 to the Course
Overview of Data Visualization
Types of Plots
Plot Libraries
Introduction to Matplotlib
Basic Plotting with Matplotlib
Dataset on Immigration to Canada
Line Plots

Readings

How to Make the Most of this Course
Syllabus
Summary: Introduction to Data Visualization Tools

Assignments

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

Assignments

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

Plugins

Cheat Sheet: Plotting with Matplotlib using Pandas
Reading: Understanding Treemaps and Pivot Charts

Module 3: Advanced Visualizations and Geospatial Data

Videos

Waffle Charts
Word Clouds
Seaborn and Regression Plots
Introduction to Folium
Maps with Markers
Choropleth Maps

Reading

Summary: Advanced Visualizations and Geospatial Data

Assignments

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

Assignments

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

Plugins

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.