Explore data analysis techniques for Amazon reviews in this comprehensive tutorial on data mining. Learn about current trends in data science, essential skills, and tools required for success in the field. Gain hands-on experience with an end-to-end project on web scraping Amazon data using Python. Discover the process of data scraping, its applications, and how to efficiently extract information from websites. Dive into various types of analytics, including descriptive, predictive, and prescriptive. Understand Python's popularity, its applications in industry, and the skills needed to leverage it effectively. Explore web scraping techniques, legal considerations, and essential Python libraries. Practice data preprocessing and visualization techniques to gain valuable insights from Amazon reviews.
Data Analysis of Amazon Reviews - Data Mining
Overview
Syllabus
Introduction
Data Analytics
Skills Required
Tools Required
Career Progression
Data Analysis
Types of Analysis
Descriptive Analytics
Predictive Analytics
Pre prescriptive Analytics
Programming
Python
Where Python is used
Python popularity
Companies that use Python
Python skills required
Web Scraping
Why Web Scraping
Is it Legal
Python Libraries
Google Collab
Import Libraries
User Agent
Beautiful Soup
Butter
Preprocessing data
Data visualization
Taught by
Great Learning
