Knowledge Hut

NOVEMBER 27, 2023

How would one know what to sell and to which customers, based on data? This is where Data Science comes into the picture. Data Science is a field that uses scientific methods, algorithms, and processes to extract useful insights and knowledge from noisy data.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

Knowledge Hut

JULY 4, 2023

This blog lists some of the most lucrative positions for aspiring data analysts. Among the highest-paying roles in this field are Data Architects, Data Scientists, Database Administrators, and Data Engineers. Several data analytics procedures got mechanized into mechanical algorithms and procedures.

Data Analytics 52

Data Analytics Data Architect Transportation Data Science 52

Knowledge Hut

DECEMBER 29, 2023

Learning Outcomes: Acquire the skills necessary to assess models developed from data. Apply the algorithms to a real-world situation, optimize the models learned, and report on the predicted accuracy that can be reached using the models. Analyze voluminous text data created by a variety of practical applications.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

JULY 15, 2021

From cloud computing consultants to big data architects, companies across the world are looking to hire big data and cloud experts at an unparalleled rate. Projects based on cloud computing have applications in entertainment, education, healthcare, retail, banking, marketing, and other industrial and business domains.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

SEPTEMBER 26, 2021

To be eligible for this role, a professional shall have expert knowledge in any BI tools and skills in data warehousing and database architecture. Big Data Architect, for instance, is one of the most popular Big Data Engineer job titles and the average salary in the US is $121K.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

AltexSoft

MAY 12, 2023

Audio analysis tools can process and analyze audio data, including voice recordings, music, and environmental sounds, to extract useful information or identify patterns. However, they require a data science team in place to train models on your data. Choose the right tools and platforms.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59