Jupyter for Data Science – Jupiter Training for Data Science
Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create documents that contain live code, equations, and visualizations.
This video course is a comprehensive guide to getting started with data science using the popular Jupyter Notebook. If you are familiar with Jupyter Notebook and want to learn how to use its capabilities to perform various data science tasks, this video course is for you! From data exploration to visualization, this course will take you every step of the way in implementing an effective data science pipeline using Jupyter. You will also see how you can utilize Jupyter’s features to share your documents and codes with your colleagues. The course also explains how Python 3, R, and Julia can be integrated with Jupyter for various data science tasks.
By the end of this course, you will comfortably leverage the power of Jupyter to perform various tasks in data science successfully.
Table of Contents:
1: Jupyter and Data Science
2: Working with Analytical Data on Jupyter
3: Data Visualization and Prediction
4: Data Mining and SQL Queries
5: R with Jupyter
6: Data Wrangling
7: Jupyter Dashboards
8: Statistical Modeling
9: Machine Learning Using Jupyter
10: Optimizing Jupyter Notebooks
Producer: Packt Publishing
Language of instruction: English
Teacher: Dan Toomey
Level of training: Preliminary
time of training: 3 hours +
File size: 759 MB