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 Data Cleanse 52

ProjectPro

OCTOBER 26, 2021

It helps in implementing predictive analytics with mathematics to make decisions based on granular data. It has database-agnostic support with open-source Breed technology to train machines based on data insights. It helps in data classification, pre-processing, clustering, regression, etc.

Machine Learning 52

Machine Learning Programming Language Healthcare Deep Learning 52

Knowledge Hut

JANUARY 19, 2024

Graduates with this specialization can seek employment in a range of roles, including IT project management, systems analysis, business analysis, & technology consulting. The career pathways are vast, including technology startups, product companies, consulting firms, service providers, & many more.

Recruitment 52

Recruitment Hospitality Retail Healthcare 52

Edureka

APRIL 17, 2023

Fraud Detection: Fraud detection involves using data analytics techniques to identify fraudulent transactions or activities. This could include analyzing credit card transactions to identify suspicious activity or analyzing insurance claims data to detect fraudulent claims.

Portfolio 40

Portfolio Data Analytics Project Data Mining 40

ProjectPro

JUNE 24, 2021

Table of Contents Skills Required for Data Analytics Jobs Why Should Students Work on Big Data Analytics Projects ? Here are a few reasons why you should work on data analytics projects: Data analytics projects for grad students can help them learn big data analytics by doing instead of just gaining theoretical knowledge.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

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

U-Next

SEPTEMBER 29, 2022

From everyday activities such as shopping and content creation to innovative developments such as space exploration and medical research, this time of technological advancement will have an enormous impact on virtually every aspect of life. . There has never been a better time to adopt Artificial Intelligence with tools for AI.

Management 52

Management Machine Learning Deep Learning Algorithm 52

ProjectPro

MARCH 16, 2015

The sum total of data related to the patient and their well-being constitutes the “Big Data” problem in the healthcare industry.Big Data Analytics has actually become an on the rise and crucial problem in healthcare informatics as well. Provide storage for billions and trillions of unstructured data sets.

Healthcare 40

Healthcare Big Data Project Hospitality 40

ProjectPro

DECEMBER 14, 2021

AutoML Cashflow Optimization for Insurance Company 8. Airport Authority Data Analysis 12. Advanced Analytics with R Integration: R programming language has several packages focusing on data mining and visualization. Data models created in R may be easily integrated into Power BI dashboards and turned into visualizations.

BI 52

BI Project Business Intelligence Datasets 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

Knowledge Hut

DECEMBER 26, 2023

Data science is a subject of study that utilizes scientific methods, processes, algorithms, and systems to uproot knowledge and insights from data in various forms, both structured and unstructured. Data science is related to data mining and big data.

Data Science 52

Data Science Consulting Computer Science Education 52

ProjectPro

MARCH 14, 2014

Healthcare industries are using big data analytical capabilities to make better sense of changing healthcare environment by providing personalized medicine, cancer treatment and genomics, monitoring patient vitals, fraud prevention and detection of healthcare insurance, etc. Hadoop is used at eBay for Search Optimization and Research.

Hadoop 40

Hadoop Big Data Data Mining Retail 40

ProjectPro

MARCH 15, 2016

Hadoop is beginning to live up to its promise of being the backbone technology for Big Data storage and analytics. Companies across the globe have started to migrate their data into Hadoop to join the stalwarts who already adopted Hadoop a while ago. Hadoop allows us to store data that we never stored before.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

JUNE 30, 2016

Indian Big Data Analytics Market worth 2+ Billion By 2017-2018, India alone will be a major shareholder of the overall big data analytics market worth $2.3 ” Experts estimate a dearth of 200,000 data analysts in India by 2018.Gartner

Hadoop 40

Hadoop Big Data Skills Recruitment NoSQL 40

ProjectPro

JULY 13, 2015

The data is aggregated into a common platform for use in a range of customer-focused data mining and data analytics tools”- said Larry Feinsmith, Managing Director of IT at JPMorgan Chase.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

ProjectPro

AUGUST 24, 2021

But before you send out your resume for any data engineer job, and if you want to get shortlisted for further rounds, you need to have ample knowledge of various data engineering technologies and methods. This big data project discusses IoT architecture with a sample use case.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

U-Next

AUGUST 3, 2022

The Big Data age in the data domain has begun as businesses cope with petabyte and exabyte-sized amounts of data. Up until 2010, it was extremely difficult for companies to store data. Now that well-known technologies like Hadoop and others have resolved the storage issue, the emphasis is on information processing.

Retail 52

Retail Data Science Computer Science Entertainment 52