Is Build Your First Data Visualization with Pygal 2 beginner friendly?

Yes, this course is designed for beginners. It covers foundational concepts and requires no prior advanced knowledge in the subject area.

How long does it take to complete Build Your First Data Visualization with Pygal 2?

The total duration of the course is approximately 14 minutes. Since it is generally self-paced, completion time depends entirely on your learning schedule and availability.

Is this course more theory-focused or project-focused?

This course provides a strong mix of conceptual theory and practical application to ensure a comprehensive understanding of the subject matter.

What careers is this course relevant for?

The skills taught in this course are highly relevant for professionals pursuing roles within Data Science and adjacent technical fields looking to upskill.

Data Science

Build Your First Data Visualization with Pygal 2

Name: Build Your First Data Visualization with Pygal 2
Availability: InStock

This quick course demonstrates just how easy it is to create a complex interactive data visualization for further analysis.

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₹880/yr

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₹880/mo

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Course Insight

Suitable for beginner learners. This course serves as an entry point into Data Science, building foundational knowledge before moving on to advanced frameworks or specialized paths.

Beginner FriendlySelf-Paced Learning

SKILLS TO
MASTER

Analytics

Exploratory Data Analysis

Modeling

Predictive Machine Learning

SQL Querying

Relational Data Management

Pandas

Matplotlib

Statistics

Tableau

ETL

Careers:Backend Developer, Software Engineer, API Developer.

💡This course fits perfectly into our comprehensiveData Science Learning Path. Explore the ecosystem to see how it compares to other foundational skills.

Quick Facts

14 minutes

Beginner

Core Courses

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What You’ll Learn

Data Visualization is an amazing way to share your data insights and stories. In this course, Build Your First Data Visualization with Pygal, you will learn how to easily and quickly build an interactive data visualization with minimal code and effort. First, you will be installing Python via Anaconda, understanding dependencies, and how to make your data visualization interactive without leaving the browser. Next, you will be creating and styling your first chart with Pygal inside of Jupyter Notebooks. Finally, you will go over outputs so you can share your new data visualization with others. By the end of this course you will be able to quickly and easily build your own interactive data visualization.

See how this course curriculum compares with alternatives