Knowledge Hut

MAY 31, 2023

Sales Analysis Source Code Dataset Customer Review Sentiment Analysis It is the process of determining the emotional state of customers after they purchase or use the products. Students can use Python or R for data analysis. Tools like TextBlob and NLTK for sentiment analysis.

Project 52

Project Datasets Media Python 52

Knowledge Hut

DECEMBER 26, 2023

It is a group of resources and services for turning data into usable knowledge and information. Descriptive analytics, performance benchmarking, process analysis, and data mining fall under the business intelligence (BI) umbrella. Data mining Business intelligence can be viewed as having its roots in data mining.

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52

U-Next

SEPTEMBER 29, 2022

A data analyst may also clean or format data, removing unnecessary or unsuitable information or determining how to cope with missing data. . A data analyst often works as part of an integrative team to identify the organization’s goals before managing the process of data mining, cleansing, and analysis.

Data Science 40

Data Science Data Analytics Data Mining Algorithm 40

U-Next

DECEMBER 2, 2022

Data science is a field of study that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining. R is free and open-source software that statisticians and data scientists widely use.

Machine Learning 40

Machine Learning Data Science Programming Language Data Mining 40

ProjectPro

DECEMBER 22, 2016

Data Analyst Interview Questions and Answers 1) What is the difference between Data Mining and Data Analysis? Data Mining vs Data Analysis Data Mining Data Analysis Data mining usually does not require any hypothesis. 5) What is data cleansing?

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

AUGUST 24, 2021

And if you are aspiring to become a data engineer, you must focus on these skills and practice at least one project around each of them to stand out from other candidates. Explore different types of Data Formats: A data engineer works with various dataset formats like.csv,josn,xlx, etc.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52