Buy and Download - OReilly Media Infinite Skills Jonathan Whitmore Jupyter Notebook for Data Science Teams Training Video

2016
O'Reilly Media / Infinite Skills
Jonathan Whitmore
3:00
English

In this Jupyter Notebook for Data Science Teams training course, expert author Jonathan Whitmore will teach you about Jupyter Notebook extensions, widgets, and team sharing. This course is designed for data scientists who need to collaborate on projects.
You will start by learning how to install and set up the Jupyter Notebook, as well as how to set up Git and GitHub accounts. From there, Jonathan will teach you about Jupyter Notebook features, including extensions, SQL Magic and Pandas, and interactive widgets. This video tutorial also covers how to share notebooks with a team. Finally, you will run through an example of using a single Git repository for a team data science project from start to finish.
Once you have completed this computer based training course, you will have learned how to use Jupyter Notebook for data science teams.

01. Introduction
0101 Introduction And Course Overview
0102 About The Author
0103 How To Access Your Working Files
02. Setting Up Environment
0201 Installing The Jupyter Notebook And Setup
0202 Setting Up Git And GitHub Account
03. Jupyter Notebook Features
0301 Standard Browser Use
0302 Installing Notebook Extensions
0303 More On Notebook Extensions
0304 SQL Magic And Pandas
0305 Conda Environments
0306 R In Jupyter Notebook
0307 Autocreate Documents In HTML Or PDF
0308 Interactive Widgets
0309 Bleeding Edge - JupyterHub
04. Sharing Notebooks With A Team
0401 Organizing A Workflow
0402 Lab Vs. Deliverable Notebook
0403 Directory Structure And Naming Conventions
0404 Version Control
05. Project - Data Science With The Notebook End-To-End Example
0501 Get Data
0502 Load The Data
0503 Initial Data Cleaning
0504 Creating A New Github Repository
0505 Version Control
0506 Exploratory Data Analysis - Regression Plotting
0507 Exploratory Data Analysis - Variable Transformations
0508 Git Branch Store Data Cleaned Pipeline
0509 Feature Engineering
0510 Random Forest Prediction And Evaluation
0511 Final Analysis Cleanup
0512 Pull Request, Peer Review, And Merge With Master
06. Project - Data Science: Statistics And Data Visualizations
0601 Initial Data Visualization
0602 Advanced Pandas Plotting
0603 Advanced Seaborn Plotting
0604 Statsmodels Analysis - Part 1
0605 Statsmodels Analysis - Part 2
07. Conclusion
0701 Resources And Where To Go From Here

oreilly.com, infiniteskills.com/training/jupyter-notebook-for-data-science-teams.html