ProjectPro

JUNE 6, 2025

Data analytics is one of the most highly-demand career fields due to the industry’s inclination toward data-driven initiatives. Data analysts hold leading positions in tech, eCommerce, consulting firms, government sector, pharmaceutical, and manufacturing industries. Is data analyst a good career?

Healthcare

ProjectPro

JUNE 6, 2025

Here are some exciting project ideas and data analysis examples to help you apply theoretical knowledge and create impactful projects. 1) Market Basket Analysis Market Basket Analysis is a data mining technique that data scientists use to better understand customers and correspondingly increase sales.

Data Analytics

ProjectPro

JUNE 6, 2025

Data Mining — How did you scrape the required data ? you set up to source your data. At the same time, when selecting the data, I need to ensure that the data is not imbalanced. The below seven steps would help you get started in the right direction.

Data Science

ProjectPro

JUNE 6, 2025

Deep learning based deep neural network algorithms have transformed industries like agriculture, retail , and manufacturing. The most popular advancements in machine learning are applications of deep learning — self-driving cars, facial recognition systems, and object detection systems.

Deep Learning

ProjectPro

JUNE 6, 2025

Anomalies in data can occur due to technical glitches or other critical issues and, if not handled properly, can result in incorrect data analysis. Anomaly detection finds applications across the retail , manufacturing, IT and telecom, defence, healthcare, banking, and financial sectors.

Machine Learning

ProjectPro

JUNE 6, 2025

For example, Yes Bank, globally recognized at the Gartner Excellence Awards for big data analytics use cases , uses innovative analytics and data mining techniques to map the customer life cycle and gain insights into customer behavior. For example, Whirlpool Corporation is a leading home appliance manufacturer.

Project

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

Knowledge Hut

MAY 1, 2024

I nformation must be extracted from this data to make sense of it, and we must gain insights from th is information that will help us to understand repeating patterns. This is where Data Science comes into the picture. It is essential to stay on top by knowing new algorithms, techniques, data mining algorithms, and so on.

Algorithm

Knowledge Hut

APRIL 26, 2024

The sole reason for this growth has been the explosion of data that we have seen in the past few years. Tons and tons of data are being generated each day and organizations have realized the vast potential that this data holds in terms of fueling innovation and predicting market trends and customer preferences.

Machine Learning

Knowledge Hut

MARCH 7, 2024

Importance of Big Data Analytics Tools Using Big Data Analytics has a lot of benefits. Big data analytics tools and technology provide high performance in predictive analytics, data mining, text mining, forecasting data, and optimization. What are the 4 different kinds of Big Data analytics?

Big Data

Knowledge Hut

JANUARY 18, 2024

Host: It is hosted by Google and challenges participants to solve a set of data science problems. Eligibility : Data science competition Kaggle is for everything from cooking to data mining. This year's competition focuses on three themes: intelligent infrastructure, health data analytics , and advanced manufacturing.

Data Science

Towards Data Science

FEBRUARY 2, 2024

The first is when data IS the product. There are a significant number of businesses that ingest, transform, and then sell data to other companies. It could be a data mining company compiling insights from web scraping eCommerce sites or a television manufacturer that sells viewership data to advertisers.

Data

Knowledge Hut

DECEMBER 22, 2023

Business Intelligence Analyst Salaries A business intelligence analyst deals with the latest data trends and requires adept knowledge of data mining, modeling, reporting, and management. Apart from this, BAs in this niche must look after the credibility of manufacturing unit testing and drafting cutover plans.

Business Analyst

Knowledge Hut

APRIL 25, 2024

KnowledgeHut Big Data classes will help you leverage big data and machine learning skills to build insightful solutions and drive value for the organization. Conclusion The similarities between big data vs data mining underscore their vital significance across diverse industries.

Machine Learning

DataKitchen

OCTOBER 11, 2021

By introducing the change in our mindset, taking inspiration from methodologies, like Agile , DevOps and lean manufacturing , we can streamline the workflows, catch errors much earlier in the process, increase the productivity of the data teams and deliver high-quality analytics faster.

Engineering

Knowledge Hut

DECEMBER 26, 2023

A big data company is a company that specializes in collecting and analyzing large data sets. Big data companies typically use a variety of techniques and technologies to collect and analyze data, including data mining, machine learning, and statistical analysis. The average salary for a job at Craft.co

Big Data

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

ProjectPro

OCTOBER 26, 2021

Its application spreads from transportation to healthcare systems to manufacturing and in various other fields. WEKA It is a bundle of data mining & machine learning algorithms , which developers can directly implement with data sets. It helps in data classification, pre-processing, clustering, regression, etc.

Machine Learning

Knowledge Hut

JANUARY 19, 2024

Operations MBA as a career option in Operations is designed to prepare students for careers in manufacturing, logistics, supply chain, quality control, & project management. It focuses on managing the flow of goods & services including planning, sourcing, manufacturing, logistics, & customer satisfaction.

Recruitment

Knowledge Hut

FEBRUARY 15, 2023

It is because they are responsible for a myriad range of elements like data mining and analysis, making insightful predictions, planning, and arriving at result forecasts. In addition, BAs in this specialty area are responsible for writing cutover plans and maintaining the validity of manufacturing unit testing.

Business Analyst

ProjectPro

MARCH 14, 2014

As the big data boom spreads globally, we at ProjectPro describe on how big data helps business across different industries and the companies using big data that stand to gain the most from implementing big data initiatives. Hadoop is used at eBay for Search Optimization and Research.

Hadoop

Monte Carlo

JANUARY 24, 2024

The first is when data IS the product. There are a significant number of businesses that ingest, transform, and then sell data to other companies. It could be a data mining company compiling insights from web scraping ecommerce sites or a television manufacturer that sells viewership data to advertisers.

Data

Edureka

APRIL 17, 2023

Supply Chain Optimization: Supply chain optimization involves using data analytics to optimize the supply chain process, reducing costs and improving efficiency. This type of analysis is particularly relevant in industries such as manufacturing and logistics.

Portfolio

Knowledge Hut

JUNE 16, 2023

You can enroll in Data Science courses to enhance and learn all the necessary technical skills needed for data analyst. Roles and Responsibilities of a Data Analyst Data mining: Data analysts gather information from a variety of primary or secondary sources.

Programming Language

Knowledge Hut

JULY 3, 2023

Real-time data ingestion often deals with various systems logs from various sectors like manufacturing, finance, cybersecurity, and e-commerce. Operational Analytics: Real-Time data ingestion strengthens attributes of monitoring and analyzing operational data in real-time.

Data Ingestion

Knowledge Hut

SEPTEMBER 6, 2023

As far as modeling techniques are concerned, the course covers the concept of Machine Learning, Deep Learning, Econometrics, Advanced Data Science , Basic and Advanced Statistics along with modules on Data Mining Strategies. The course also offers guided mentorship programs along with dedicated mentors for each student.

Data Science

Data Science Blog: Data Engineering

NOVEMBER 15, 2023

Machine Learning for Process and Task Mining on Text and Video Data Process Mining and Task Mining is already benefiting a lot from Text Recognition (Named-Entity Recognition, NER) by Natural Lamguage Processing (NLP) by identifying events of processes e.g. in text of tickets or e-mails.

Architecture

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

Knowledge Hut

JANUARY 18, 2024

IoT devices typically collect data from their surroundings and use this data to make decisions or automate processes. This technology is already being used in many industries, from manufacturing and logistics to healthcare and smart cities.

Data Analytics

Knowledge Hut

APRIL 25, 2024

Information Technology has asserted its dominance everywhere in health care to food service sectors, manufacturing and sales. Better Decision-Making Information and technology provide a window to process immense amounts of data to make your business grow to its full potential. What Are Information Technology Services?

Technology

ProjectPro

SEPTEMBER 26, 2021

Build an Awesome Job Winning Project Portfolio with Solved End-to-End Big Data Projects Becoming a Big Data Engineer - The Next Steps Big Data technologies are high on-demand with enormous opportunities for Big Data Engineers in a variety of sectors. With an increase in demand, there is an increase in competition.

Big Data

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

AltexSoft

MAY 12, 2023

It is commonly stored in relational database management systems (DBMSs) such as SQL Server, Oracle, and MySQL, and is managed by data analysts and database administrators. Analysis of structured data is typically performed using SQL queries and data mining techniques.

Unstructured Data

Knowledge Hut

DECEMBER 27, 2023

For example, a computer manufacturing company can produce models or bring more innovations to products that are in high demand. Ecommerce businesses like Alibaba, Amazon use big data in a massive way. KNIME KNIME (an acronym for Konstanz Information Miner) is an open-source tool that supports Linux and Windows operating systems.

Big Data Tools

ProjectPro

MARCH 15, 2016

Hadoop allows us to store data that we never stored before. As per an estimate, nearly 30 Terabytes of data is added to their database on a monthly basis. Another example of Big Data management in the telecom industry comes from Nokia. They store and analyse massive volume of data from their manufactured mobile phones.

Hadoop

ProjectPro

DECEMBER 17, 2021

Fault Detection Data Science Take-Home Challenge Because of the Internet of Things (IoT) technology, many vehicles are now embedded with different sensors that send data to the manufacturing company. The company’s data science team then analyses it to predict which parts of the vehicle are likely to wear and tear soon.

Data Science

ProjectPro

JULY 7, 2021

Deep learning has transformed industries like agriculture, retail, and manufacturing. The most popular advancements in machine learning are applications of deep learning — self-driving cars, facial recognition systems, and object detection systems. The demand for deep learning engineers has increased dramatically over the past year.

Deep Learning