Build Jupyter Skills and Visualize Python Data

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Build Jupyter Skills and Visualize Python Data

This course is part of Jupyter Python Visualization and Optimization Specialization

Instructor: EDUCBA

Included with Learn more

2 modules

Gain insight into a topic and learn the fundamentals.

7 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

7 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Install, configure, and customize Jupyter Notebook for interactive Python workflows.
Use IPython, Markdown, and arithmetic to execute and document code in notebooks.
Create and customize line, scatter, histogram, bar, pie, and polar charts using Matplotlib and NumPy.

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Build your subject-matter expertise

This course is part of the Jupyter Python Visualization and Optimization Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 2 modules in this course

Build practical Jupyter Notebook, IPython, and Python data visualization skills through a structured, hands-on course designed for beginners and practitioners who want to strengthen their data science, research, or analytics workflows. You will learn to install, configure, and customize Jupyter Notebook; use IPython for Markdown, arithmetic, interactive code execution, and documentation; and perform fundamental computations in a notebook environment.

You will then create clear, meaningful visualizations with Matplotlib and NumPy. Explore line plots, scatter plots, histograms, bar charts, pie charts, and polar charts while learning to apply NumPy functions and style formatting to customize graphs and communicate categorical, circular, and other dataset insights effectively. What makes this course distinctive is its streamlined progression from notebook setup and IPython basics to foundational and advanced chart types. Each lesson connects essential concepts with practical application, helping you build confidence in executing code, documenting your work, and presenting data visually. Enroll to develop an organized Python workflow and create professional visualizations for data-driven applications.

This module introduces learners to Jupyter and IPython environments, focusing on setup, configuration, and basic operations. Students will gain confidence in using notebooks for code execution, documentation, and fundamental computations.

What's included

10 videos3 assignments

10 videosTotal 87 minutes

Introduction Jupyter or IPython Notebook9 minutes
Environment Setup9 minutes
Installation of Ipython Notebook11 minutes
Configuring Jupyter Notebook9 minutes
IPython Notebook6 minutes
More on IPython Notebook6 minutes
Simple Arithmetic Calculations8 minutes
Working on Arithmetic Calculation Continues8 minutes
Basic Definitions8 minutes
Markdown Cells12 minutes

3 assignmentsTotal 50 minutes

Setting Up Your Notebook Environment10 minutes
Exploring IPython Basics10 minutes
Getting Started with Jupyter & IPython30 minutes

This module covers the foundations of data visualization using Matplotlib and NumPy. Learners will explore different chart types and understand how to enhance them for meaningful insights.

What's included

17 videos4 assignments

17 videosTotal 162 minutes

Matplot Library10 minutes
Line Plots9 minutes
Scatter Plots12 minutes
Histograms12 minutes
Writing Plots to File12 minutes
Numpy Arange9 minutes
Numpy Arange Continues5 minutes
Numpy Arrays10 minutes
A Complete Graph12 minutes
Color Control11 minutes
Formatting Markers12 minutes
Histograms in Detail8 minutes
Histograms in Detail Continues5 minutes
Bar Charts10 minutes
Pie Charts12 minutes
Scatter Charts5 minutes
Polar Charts8 minutes

4 assignmentsTotal 60 minutes

Fundamentals of Plotting with Matplotlib10 minutes
Enhancing Graphs with NumPy and Style10 minutes
Advanced Chart Types10 minutes
Mastering Data Visualization30 minutes

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Instructor

EDUCBA

1,744 Courses440,858 learners

Offered by

EDUCBA

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Frequently asked questions

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