Knowledge Hut

DECEMBER 29, 2023

Data Mining Data science field of study, data mining is the practice of applying certain approaches to data in order to get useful information from it, which may then be used by a company to make informed choices. It separates the hidden links and patterns in the data.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

APRIL 2, 2015

Retail big data analytics is the future of retail as it separates the wheat from the chaff. Retail industry is rapidly adopting the data centric technology to boost sales. Retailers who use predictive analytics achieve 73% higher sales than those who have never done it. billion in 2014 to $4.5

Retail 40

Retail Hadoop Big Data Data Mining 40

Edureka

AUGUST 2, 2023

Statistical Analyst: Statistical Analysts specialize in applying statistical techniques to analyze data and draw meaningful conclusions. They may conduct hypothesis testing, regression analysis, or data clustering to gain insights into patterns and trends.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

U-Next

FEBRUARY 26, 2023

with the help of Data Science. Data Science is a broad term that encompasses many different disciplines, such as Machine Learning, Artificial Intelligence (AI), Data Visualization, Data Mining, etc. Many types of Data Scientists with different specialties can help your business get the necessary solutions.

Data Science 98

Data Science Machine Learning Consulting Data Mining 98

Knowledge Hut

JANUARY 19, 2024

Retail Retail is a specialization in the MBA program that deals with different business aspects such as merchandising, consumer behavior, supply chain management, & retail analytics. Students also learn about retail marketing & promotion strategies.

Recruitment 52

Recruitment Hospitality Retail Healthcare 52

Knowledge Hut

FEBRUARY 11, 2023

Multiple industries, like the education industry, the software industry, the retail industry, etc., Education The average salary of a data analyst in the USA in education is $60,000, which may go up to $82,000 annually. The average pay scale of a data analyst in the industry is $68,000. The table below shows the variations.

Retail 52

Retail Education Healthcare Data Mining 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. Many diverse businesses, including retail, insurance, and the oil industry, have embraced BI.

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52

Knowledge Hut

MARCH 27, 2024

These tools include data analysis, data purification, data mining, data visualization, data integration, data storage, and management. Very High-Performance Analytics is required for the big data analytics process.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

ProjectPro

FEBRUARY 8, 2023

Data and data mining methods can therefore help in the earlier detection of heart disease by warning patients about possible infections. Using Kafka to combine messaging, storage, and stream processing, it is possible to automate disease detection by storing and processing historical and current data.

Kafka 52

Kafka Banking Healthcare Medical 52

Knowledge Hut

FEBRUARY 14, 2024

Responsibilities of an MBA in Marketing Graduate: Business marketing Digital marketing Retail marketing Brand management Product management Quality management An MBA in marketing comprises all marketing facets and provides effective marketing techniques. It can result in the exponential growth of an organization.

Hospitality 52

Hospitality Finance Healthcare Consulting 52

Knowledge Hut

NOVEMBER 16, 2023

Java or J2E and Its Frameworks Java or J2EE is one of the most trusted, powerful and widely used technology by almost all the medium and big organizations around domains, like banking and insurance, life science, telecom, financial services, retail and much, much more. This is one of the best and most advanced sophisticated applications.

Technology 98

Technology MySQL MongoDB Google Cloud 98

Knowledge Hut

JANUARY 18, 2024

Full-stack data science is a method of ensuring the end-to-end application of this technology in the real world. For an organization, full-stack data science merges the concept of data mining with decision-making, data storage, and revenue generation.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

Knowledge Hut

JANUARY 30, 2024

However, through data extraction, this hypothetical mortgage company can extract additional value from an existing business process by creating a lead list, thereby increasing their chances of converting more leads into clients. Transformation: Once the data has been successfully extracted, it enters the refinement phase.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

ProjectPro

DECEMBER 10, 2021

Business Intelligence refers to the toolkit of techniques that leverage a firm’s data to understand the overall architecture of the business. This understanding is achieved by using data visualization , data mining, data analytics, data science, etc. methodologies.

Business Intelligence 52

Business Intelligence Coding Project BI 52

Knowledge Hut

DECEMBER 27, 2023

A business analyst can be employed in a wide range of industries, including healthcare, education, finance, retail, and hospitality. And while there are many different specialties within the field of data analysis and statistics—including machine learning and data mining.

Business Analyst 52

Business Analyst Computer Science Finance Data Analysis 52

ProjectPro

MAY 23, 2015

With more than 245 million customers visiting 10,900 stores and with 10 active websites across the globe, Walmart is definitely a name to reckon with in the retail sector. Whether it is in-store purchases or social mentions or any other online activity, Walmart has always been one of the best retailers in the world.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Knowledge Hut

JANUARY 11, 2024

BI is a trending and highly used domain that combines business analytics, data visualization, data mining, and multiple other data-related operations. Businesses use the best practices coming under business intelligence to mine their data and extract the information essential to make significant business decisions.

Business Intelligence 52

Business Intelligence BI Raw Data Media 52

Knowledge Hut

JANUARY 18, 2024

The demand for data analysts can be attributed to the increasing importance of data-driven decision-making in businesses and organizations of all sizes. As a result, data analysts are playing an essential role in shaping the strategic direction of businesses across various industries, from healthcare to finance to retail.

Data Analytics 52

Data Analytics Healthcare Machine Learning Algorithm 52

ProjectPro

DECEMBER 22, 2016

Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers Robert Half Technology survey of 1400 CIO’s revealed that 53% of the companies were actively collecting data but they lacked sufficient skilled data analysts to access the data and extract insights.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

OCTOBER 16, 2021

The dataset has been collected and analysed during a research collaboration of Worldline and the Machine Learning Group ( [link] ) of ULB (Universite Libre de Bruxelles) on big data mining and fraud detection. It contains weekly retail scan data for National retail volume (units) and price from Apr 2015 to Mar 2018.

Machine Learning 52

Machine Learning Deep Learning Datasets Algorithm 52

ProjectPro

JANUARY 15, 2021

Look no further…Whether it’s Retail , Healthcare, Banking & Finance , Crime, or, really any other kind of machine learning dataset, we’ve curated a list of top machine learning datasets on everything to help you make your models successful. Why you need machine learning datasets?

Machine Learning 40

Machine Learning Datasets Retail Banking 40

ProjectPro

OCTOBER 3, 2016

Now, in the era of big data, Hadoop has inspired the growth of its ecosystem with powerful front ends and extensions like -Lens, Twill, Kylin, etc.Apache Hadoop ecosystem is growing rapidly. Source:[link] Have Your Cake And Eat It: Big Data Without Hadoop. Forbes.com,September 19,2016.

Hadoop 52

Hadoop Database-centric Pipeline-centric Big Data 52

ProjectPro

DECEMBER 17, 2021

Corporación Favorita is a large grocery retailer in Ecuador. Mercari is a community-driven shopping app in the United States that wanted data science enthusiasts like you to help its users decide the right price. Complete Solution: Retail Price Recommendation with R 5.

Data Science 52

Data Science Medical Machine Learning Datasets 52

U-Next

SEPTEMBER 19, 2022

Power BI is a Microsoft Business Intelligence and data mining software package that includes several services. You can do a calculation using the measure function without adding data. For Example, Total of the maximum retail price column * Quantity column. Power BI Dashboard.

BI 40

BI Business Intelligence Datasets Retail 40

Knowledge Hut

NOVEMBER 28, 2023

Data scientists do more than just model and process structured and unstructured data; they also translate the results into useful strategies for stakeholders. The duties of a data scientist go beyond just processing and analyzing data. They also have a perfect command of statistical software and programming.

Data Science 52

Data Science Telecommunication Recruitment Finance 52

Knowledge Hut

APRIL 20, 2023

Data mining, machine learning, statistical analysis, programming languages (Python, R, SQL), data visualization, and big data technologies. Cybersecurity vs Data Science: Companies Hiring Businesses' recruiting practices for data science and cybersecurity positions differ tremendously.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

Knowledge Hut

FEBRUARY 12, 2023

Over the years, the demand for data science job opportunities in US has grown dramatically because various industries have realized the potential and applications of data science. Data scientists find their roles in retail, research and development, the pharmaceutical industry, healthcare, e-commerce, marketing, and finance.

Data Science 52

Data Science Computer Science Portfolio Certification 52

Knowledge Hut

JANUARY 19, 2024

For this, they will explore and dig deeper into the previous and current data sets and extract useful information like purchase patterns and revenue and sales graphs; that is something they can only do with the help of an efficient business intelligence system. Some of the real-life examples of business intelligence are listed below.

Business Intelligence 52

Business Intelligence BI Raw Data Data Warehouse 52

U-Next

SEPTEMBER 21, 2022

Read this article to learn how a massive amount of data is collected, organized, and processed to extract useful information using data warehousing and data mining. You will also understand the Difference between Data Warehousing and Data Mining in a detailed manner. . What Is Data Warehousing? .

Data Mining 40

Data Mining Data Warehouse Business Intelligence Retail 40

Zalando Engineering

FEBRUARY 1, 2017

For example, when a customer opens a mobile application, it shows trending products: As soon as a brand/retailer is liked, the mobile application shows popular products in this context with a higher ranking. Filters offer a static set of dimensions to narrow down content; usually built offline using data mining techniques.

Data Mining 40

Data Mining Metadata Retail Algorithm 40

U-Next

OCTOBER 27, 2022

This type of learning is used in data mining, natural language processing, and many other applications. . For example, if you’re a retailer selling products online. This method allows computers to discover hidden patterns in large datasets by grouping similar items together. Reinforcement Learning: .

Cloud Computing 40

Cloud Computing Cloud IT Algorithm 40

U-Next

OCTOBER 16, 2022

This type of learning is used in data mining, natural language processing, and many other applications. . For example, if you’re a retailer selling products online. This method allows computers to discover hidden patterns in large datasets by grouping similar items together. Reinforcement Learning: .

Cloud Computing 40

Cloud Computing Cloud Algorithm Machine Learning 40

ProjectPro

OCTOBER 18, 2021

Solved end-to-end Recommender System Projects with Source Code Machine learning for Retail Price Recommendation with Python Recommender System Machine Learning Project for Beginners-1 Expedia Hotel Recommendations Data Science Project 2. To build such ML projects, you must know different approaches to cleaning raw data.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

MARCH 15, 2016

Table of Contents Hadoop Distributed File System (HDFS) Hadoop MapReduce Hadoop in the Financial Sector Hadoop in Healthcare Sector Hadoop for Telecom Industry Hadoop in Retail Sector Hadoop for Building Recommendation System Studying Hadoop use cases will help to – 1.) Hadoop allows us to store data that we never stored before.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

DECEMBER 14, 2021

Life Expectancy Data Analysis Power BI Projects Github 16. Advanced Analytics with R Integration: R programming language has several packages focusing on data mining and visualization. Data scientists employ R programming language for machine learning, statistical analysis, and complex data modeling.

BI 52

BI Project Business Intelligence Datasets 52

ProjectPro

DECEMBER 21, 2021

The Rossmann Stores dataset is one of the most popular datasets used by Data Science beginners. You can use the dataset and the linear regression machine-learning algorithm to forecast retail sales in this project. Data Engineer Data engineers develop and maintain the data platforms that machine learning and AI systems rely on.

Machine Learning 52

Machine Learning Engineering Algorithm Data Science 52

Edureka

FEBRUARY 18, 2023

Data analysis: The next step is to analyze the data to identify trends, patterns, and insights. This can be done using various analytical techniques such as statistical analysis, data mining, and machine learning. This helps decision-makers to quickly and easily interpret the data and identify key insights.

Business Intelligence 52

Business Intelligence BI SQL Data Analysis 52