AI Byte-Sized Series: Data Exploration and Analysis
- Created By raju2006
- Last Updated December 27th, 2023
- Overview
- Prerequisites
- Audience
- Audience
- Curriculum
Session Description:
A short session indented on Data Exploration and Analysis to get started with exploring and analyzing data prior to applying the data to build Machine Learning models. Additionally, we will learn about popular tools used to perform such analysis.
Setup:
Because this is an abbreviated session, attendees MUST install Anaconda software https://www.anaconda.com/ and have a basic understanding of using Jupyter Notebook.
Course Code/Duration:
BDT74 / 90 Minutes
Learning Objectives:
Use Pandas library to explore data and learn how to do following:
- Reading data from various file formats such as Comma Separated Values (.csv), JavaScript object notation (.JSON)
- Look for data values missing in the dataset
- Understand the statistics in the dataset
- Replace missing values in the dataset"
- Learn basic understanding of python language, understanding of how to use Juypter Notebook.
- This session is designed for anyone who wants to start with machine learning and understand the tools and techniques involved in analyzing and exploring data.
- This session is designed for anyone who wants to start with machine learning and understand the tools and techniques involved in analyzing and exploring data.
Course Outline:
- Introduction to Data Exploration and Analysis
- Reading Data from Various File Formats
- Handling Missing Data
- Understanding Statistics in the Dataset
The curriculum is empty
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