Knowledge Hut

JANUARY 19, 2024

Business Intelligence Analyst Importance The proliferation of IoT-connected objects, IoT-based sensors, rising internet usage, and sharp increases in social media activity are all enhancing businesses' ability to gather enormous amounts of data. It is crucial to understand how to manage data using common data tools like SQL and Excel.

Business Intelligence 52

Business Intelligence BI Business Analyst Finance 52

ProjectPro

JANUARY 31, 2023

There are many reasons why the modern insurance sector prefers machine learning and data science : Rapidly growing data volumes- Consumer electronics with an internet connection, such as smartphones, smart TVs, and fitness trackers, are becoming increasingly popular today.

Insurance 75

Insurance Machine Learning Project Algorithm 75

U-Next

AUGUST 11, 2022

Data scientists combine statistics, computer science, and mathematics in the performance of their job duties. Businesses and other organisations rely on their interpretation of processing, data analysis, and modelling results to develop actionable plans. Skill requirements for Data Science.

Data Science 40

Data Science Data Cleanse Unstructured Data Machine Learning 40

ProjectPro

AUGUST 24, 2021

To understand their requirements, it is critical to possess a few basic data analytics skills to summarize the data better. So, add a few beginner-level data analytics projects to your resume to highlight your Exploratory Data Analysis skills. Blob Storage for intermediate storage of generated predictions.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52