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Data Visualization with Python

Learn how to communicate data insights effectively through compelling visualizations with this Data Visualization course. You will create various charts and graphs, interactive dashboards, and complete hands-on labs. The course covers tools and techniques, including Matplotlib, Seaborn, Folium, Plotly & Dash. Become proficient in data visualization using Python and its libraries and turn data into insightful stories.


Per Person




3 Day


Face-to-face (F2F) / Virtual Class


Choose your preference

Customize your training experience by first selecting your preferred Training Delivery Format and then choosing the Class Type that best aligns with your goals and needs.

Public Class

Learn, collaborate and make new friends with similar interest in a shared virtual or physical classroom.

Private Class

Achieve personalized learning in a private setting with your dedicated instructor.

In-House Training

Similar to a private class, but your instructor will deliver the training face-to-face at your preferred venue.


Customize your training to suit specific requirements of your organization for optimal results.


Course structure

Course Overview

One of the most important skills of successful data scientists and data analysts is the ability to tell a compelling story by visualizing data and findings in an approachable and stimulating way. 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!

Course Objectives

By ends of this course,

  • 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.

Course Prerequisite

This course requires a working knowledge of the Python programming language and using Jupyter Notebooks.

Course Content

Module 1: Introduction to Data Visualization Tools

In this module, you will learn about data visualization and some of the best practices to keep in mind when creating plots and visuals. You will also learn about the history and the architecture of Matplotlib and learn about basic plotting with Matplotlib. In addition, you will learn about the dataset on immigration to Canada, which will be used extensively throughout the course. Finally, you will briefly learn how to read csv files into a pandas dataframe and process and manipulate the data in the dataframe, and how to generate line plots using Matplotlib.

Who Should Attend

  1. Data scientists and analysts who want to improve their ability to present and communicate data-driven insights to stakeholders.
  2. Business professionals and decision-makers who want to better understand and interpret data visualizations to make informed decisions.
  3. Researchers and academics who want to enhance their data presentation skills and effectively communicate their research findings.
  4. Marketing and advertising professionals who want to create visually appealing and impactful visualizations to convey marketing insights and campaign performance.

Learn, certify
and secure your job


Per Person




3 Day


Face-to-face (F2F) / Virtual Class


Frequently asked questions

Is this course suitable for beginners?

Yes, this course is suitable for beginners. No prior experience in data analysis or programming is required. It provides a foundation in data visualization and covers various techniques from basic to advanced levels. The course will guide beginners in effectively visualizing data, teaching them the necessary tools, techniques, and best practices to present data in an engaging way. Whether you have a technical background or not, this course will equip you with the skills needed to create meaningful visualizations and tell compelling stories with data.

How will this course help me in my professional career?

Data visualization is a crucial skill for data scientists, data analysts, and professionals working with data. This course will enhance your ability to present complex data in an understandable and engaging manner. It will equip you with the skills to create visually compelling charts, graphs, and maps, enabling you to effectively communicate data-driven insights to stakeholders, clients, and decision-makers.

Is there any hands-on practice included in the course?

Yes, the course includes hands-on practice sessions where you will have the opportunity to apply the concepts learned and create visualizations using various tools. These practical exercises will help reinforce your understanding and build your confidence in visualizing data effectively.