Description:
This Jupyter Notebook For Effective Data Analysis And Collaboration course will help you to become familiar with the popular Jupyter Notebook environment and all of its features. It has become the standard tool for performing data science tasks in Python including data cleaning and transformation, statistical modeling, data visualization, and machine learning. Jupyter Notebook is a powerful tool that allows you to create and share documents that contain live code, equations, visualizations and narrative text. You will also learn about JupyterLab which is the evolution of the standard Jupyter Notebook.JupyterLab neatly bundles many functionalities together, enabling extensible and collaborative workflows.You’ll learn how to share your analysis in multiple formats, including presentation slides, web documents, and hosted platforms (great for colleagues who do not have Jupyter installed on their machines). You will also learn how to install and use Rin your Jupyter Notebook environment.
Course Code/Duration:
BDT153 / Half Day
Learning Objectives:
After this course, you will be able to:
Structured Activity/Exercises/Case Studies:
