Knowledge Hut

MARCH 27, 2024

The collection of meaningful market data has become a critical component of maintaining consistency in businesses today. A company can make the right decision by organizing a massive amount of raw data with the right data analytic tool and a professional data analyst. What Is Big Data Analytics?

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Edureka

APRIL 17, 2023

As a data analytics professional, building a strong portfolio of projects is essential to showcase your skills and expertise to potential employers. This article will discuss nine data analytics project ideas for your portfolio. What is the Role of Data Analytics?

Portfolio 40

Portfolio Data Analytics Project Data Mining 40

U-Next

SEPTEMBER 23, 2022

Data aggregation and data mining are two essential techniques used in descriptive analytics to analyze historical data and find patterns and trends. Additionally, it is crucial to present the various stakeholders with the current raw data. Descriptive Analytics. Diagnostic Analytics.

Data Mining 40

Data Mining Business Analyst Deep Learning Algorithm 40

AltexSoft

MAY 12, 2023

Of course, tapping into this immense pool of unstructured data may offer businesses a wealth of opportunities to better understand their customers, markets, and operations, ultimately driving growth and success. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

SEPTEMBER 6, 2023

To become a Data Scientist, it is imperative that you aim for the best Data Science Certifications to start your career and be recognized in the industry. A Data Science Certification can validate your skills and expertise in the industry and demonstrate your capabilities to potential employers.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

U-Next

AUGUST 25, 2022

They will employ the information in Machine Learning models that individuals and organizations may use after they have a deeper knowledge of the raw and different data formats. These algorithms guide Machine Learning-enabled applications as they investigate various choices and weigh multiple criteria. Supervised Learning.

Machine Learning 40

Machine Learning Algorithm Data Mining Utilities 40

U-Next

SEPTEMBER 28, 2022

– Collecting data and finding trends of employee productivity and engagement to better understand existing employee job satisfaction. – Developing a prediction algorithm to identify employees who may be on the verge of quitting. Types of HR Analytics – Descriptive, Predictive, And Prescriptive Analytics .

Recruitment 52

Recruitment Algorithm Utilities Machine Learning 52

ProjectPro

FEBRUARY 8, 2016

The three most common types of analytics, descriptive, predictive, and prescriptive analytics, are interconnected solutions that help businesses make the most of their big data. The main techniques used here are data mining and data aggregation. Data Mining - Identifying correlated data.

Data Mining 56

Data Mining Big Data Medical Healthcare 56

ProjectPro

AUGUST 24, 2021

Within no time, most of them are either data scientists already or have set a clear goal to become one. Nevertheless, that is not the only job in the data world. And, out of these professions, this blog will discuss the data engineering job role. Write a LinkedIn article about your projects and feature it on your profile.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. To build a big data project, you should always adhere to a clearly defined workflow.

Big Data 52

Big Data Coding Project Hadoop 52