How to use the Anaconda Jupyter Notebook for Data Analysis
3.6 (11 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
793 students enrolled

How to use the Anaconda Jupyter Notebook for Data Analysis

Includes Markdown and IpyWidgets!!
3.6 (11 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
793 students enrolled
Created by Henry Palma
Last updated 4/2020
English
English [Auto]
Current price: $12.99 Original price: $19.99 Discount: 35% off
2 days left at this price!
30-Day Money-Back Guarantee
This course includes
  • 1 hour on-demand video
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
Training 5 or more people?

Get your team access to 4,000+ top Udemy courses anytime, anywhere.

Try Udemy for Business
What you'll learn
  • The basics of using the Anaconda Jupyter Notebook
Course content
Expand 23 lectures 56:38
+ Introduction
23 lectures 56:38
Creating a Working Folder
01:19
Creating and Naming a Notebook
01:22
Keyboard ShortCuts
02:47
Working with Code Cells
02:40
Working with UI Widgets (IpyWidgets)
10:54
UI Widgets Project
03:44
Working with Data
05:25
Sharing a Notebook
02:08
Working with Markdown Cells
01:42
MarkDown Headers
00:40
MarkDown TextFormat
01:05
MarkDown Indentation
00:43
MarkDown Links
00:37
MarkDown Nested Lists
00:51
MarkDown Numbered Lists
00:25
MarkDown Tables
02:36
MarkDown Images
01:52
MarkDown Latex
01:28
MarkDown Tables
02:36
Requirements
  • None
Description

The Jupyter Notebook is a valuable tool for data analytics and data science projects. It gives you the ability to write live code, equations, visualizations and narrative text into each project and share it with others. I use the Jupyter notebook daily at work to prototype applications. This course will give you the tools to get started using the Jupyter notebook. This is a companion series to my other Python/Pandas Series.

Who this course is for:
  • Beginner Python Developers