Jupyter Notebook Training

SKU: 3845
13 Lesson
|
30 Hours
Jupyter Notebook Training is designed for anyone who wants to learn interactive coding, data analysis, and reporting using Python. This course covers notebook setup, interface, Python programming, Markdown, Pandas, charts, widgets, JupyterLab and project-based learning. Our trainers, who have more than 16 years of industry experience, provide practical guidance to help you build strong hands-on skills for data science and analytics work.

Overview

Prerequisites

  • Basic computer knowledge
  • Basic internet and file handling skills
  • Python basics helpful but optional
  • No prior experience required

What Will You Learn

  • Understand Jupyter Notebook setup, interface, and workflow.
  • Create and manage notebooks, cells, and files efficiently.
  • Write Python code with functions, loops, and modules.
  • Use Markdown for professional documentation and reports.
  • Analyze data using Pandas DataFrames.
  • Create data visualizations using Matplotlib and Seaborn.
  • Use magic commands and shortcuts for faster work.
  • Build interactive notebooks with widgets.
  • Export and share notebooks in multiple formats.
  • Work on real-time data science and analytics projects.

Who Should Enroll

  • Students and freshers
  • Data science beginners
  • Python learners
  • Business analysts
  • Data analysts
  • Researchers
  • Working professionals
  • Anyone interested in analytics tools

Key Features

Course Curriculum

1. What is Jupyter Notebook
2. History of Project Jupyter
3. Uses in Data Science, AI, ML & Analytics
4. Jupyter Notebook vs IDEs
5. Installing Jupyter via Anaconda/pip
1. Launching Notebook Server
2. Creating First Notebook
3. Understanding Dashboard
4. File Management
5. Saving and Renaming Notebooks
1. Menu Bar
2. Toolbar
3. Notebook Cells
4. Kernel Management
5. Command Mode vs Edit Mode
6. Keyboard Shortcuts
1. Code Cells
2. Markdown Cells
3. Markdown Cells
4. Raw Cells
5. Running Cells
6. Reordering Cells
7. Splitting & Merging Cells
1. Writing Python Code
2. Variables & Data Types
3. Loops & Conditions
4. Functions
5. Modules & Imports
6. Error Handling
1. Headings
2. Lists
3. Tables
4. Images
5. Hyperlinks
6. LaTeX Equations
7. Report Formatting
1. Importing CSV / Excel Files
2. DataFrames Basics
3. Filtering Data
4. Cleaning Data
5. GroupBy & Aggregation
6. Exporting Results
1. Matplotlib Basics
2. Seaborn Charts
3. Line / Bar / Pie / Histogram
4. Styling Graphs
5. Inline Plot Display
1. %timeit
2. %run
3. %pwd
4. %history
5. %%writefile
6. Shell Commands in Notebook
1. ipywidgets Introduction
2. Sliders
3. Dropdowns
4. Buttons
5. Interactive Dashboards
1. Export to HTML
2. Export to PDF
3. Export to Python Script
4. Notebook Sharing
5. Download & Upload Files
1. What is JupyterLab
2. Notebook vs JupyterLab
3. Tabs & Workspaces
4. JupyterLab Extensions
5. Advanced Interface
6. Installing JupyterLab extensions
7. AI Coding Assistants in JupyterLab
8. Extension Manager
1. GitHub Integration
2. Sharing Notebooks
3. JupyterHub Overview
4. Version Control Basics
5. Team Collaboration
Talk To Us

We are happy to help you

1-800-7430-173 (US Toll Free)
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Request For Live Demo Class

Course Fees

Online Class Room Program

US $ 799.00
100% Money Back Guarantee
  • Duration : 30 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 12 Jul 2026
  • Weekday Batch 13 Jul 2026
  • Weekend Batch 18 Jul 2026

1 ON 1 Training

US $ 899.00
100% Money Back Guarantee
  • Duration : 30 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 12 Jul 2026
  • Weekday Batch 13 Jul 2026
  • Weekend Batch 18 Jul 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support

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Jupyter Notebook Certification

After completion of the Jupyter Notebook Training, you will receive a course completion certificate from igmGuru. This certification validates your practical knowledge of Jupyter Notebook, Python coding, data analysis, and reporting workflows.

Jupyter Notebook Certification

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