Data Visualization

Data Visualization is the graphical representation of data and information using charts, graphs, and interactive visuals. This course introduces students to essential visualization tools and techniques that help in understanding complex data, identifying trends, and making data-driven decisions. Students will learn how to create impactful visuals using real-world datasets and develop skills in tools like Excel, Tableau, and Python libraries.

Created by

Apoorva Bajaj

Hours

0 Enrolled

    • (0 Reviews)

English

Last updated

Sun, 20-Jul-2025

Course description

Data Visualization is a powerful tool used to communicate insights from data through visual elements like charts, graphs, maps, and dashboards. This course is designed to equip students with the knowledge and skills to transform raw data into clear, compelling visual stories that support analysis and decision-making.

Throughout the course, students will explore key principles of visual design, learn about different types of visualizations, and understand when and how to use them effectively. They will gain hands-on experience with popular tools such as Microsoft Excel, Tableau, and Python libraries like Matplotlib and Seaborn.

By the end of the course, students will be able to create professional and interactive data visualizations, interpret data with clarity, and present their findings in a way that drives action and engagement.

What will i learn?

  • Understand Core Concepts Grasp the fundamentals of data visualization, including types of charts, visual design principles, and the importance of visual storytelling.
  • Choose the Right Visuals Identify and apply the most appropriate visualization techniques based on data type and purpose.
  • Use Visualization Tools Confidently create data visualizations using tools like Microsoft Excel, Tableau Public, and Python libraries such as Matplotlib and Seaborn.
  • Interpret and Analyze Data Draw meaningful insights from visualized data and communicate findings effectively to different audiences.

Requirements

  • Basic Computer Skills Students should be comfortable using a computer, navigating the internet, and handling files.
  • Access to a Computer or Laptop A system capable of running Excel, Tableau Public, and Python-based tools like Jupyter Notebook.
  • Internet Connection Required for accessing course materials, downloading software, and submitting assignments.
  • Microsoft Excel (any recent version)-For practicing basic to intermediate-level data visualizations.

Frequently asked question

This course is ideal for students, beginners in data analytics, and anyone interested in learning how to present data visually. No prior programming experience is required.

You will learn the fundamentals of data visualization, key principles of visual design, and how to create effective visualizations using tools like Excel, Tableau, and Python libraries (Matplotlib, Seaborn).

No prior coding knowledge is needed. Basic Python will be introduced for visualizations, but the course also focuses on no-code tools like Excel and Tableau.

The course covers Microsoft Excel, Tableau Public (free version), and Python-based libraries such as Matplotlib and Seaborn.

Apoorva Bajaj

View profile

₹4000

₹6000

Lectures

20

Skill level

Beginner

Expiry period

Lifetime
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