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1
Introduction
2
Data Analytics
3
Skills Required
4
Tools Required
5
Career Progression
6
Data Analysis
7
Types of Analysis
8
Descriptive Analytics
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Predictive Analytics
10
Pre prescriptive Analytics
11
Programming
12
Python
13
Where Python is used
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Python popularity
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Companies that use Python
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Python skills required
17
Web Scraping
18
Why Web Scraping
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Is it Legal
20
Python Libraries
21
Google Collab
22
Import Libraries
23
User Agent
24
Beautiful Soup
25
Butter
26
Preprocessing data
27
Data visualization
Description:
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

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