Knowledge Hut

NOVEMBER 19, 2023

Algorithms, data preparation and model evaluations. Salary: Senior data scientists can earn more than $150000, while entry-level positions pay between $7000 to $100000. How to become: Study data science, statistics, or related areas, learn programming languages and gain expertise in data analysis and visualisation.

Computer Science 52

Computer Science Programming Language Machine Learning Business Intelligence 52

ProjectPro

JANUARY 31, 2023

To manage these large amounts of data, testing necessitates using specific tools, frameworks, and processes. Big data analysis refers to the generation of data and its storage, retrieval of data, and analysis of large data in terms of volume and speed variation. Steps for Data preparation.

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

MAY 20, 2015

It provides the first purpose-built Adaptive Data Preparation Solution(launched in 2013) for data scientist, IT teams, data curators, developers, and business analysts -to integrate, cleanse and enrich raw data into meaningful analytic ready big data that can power operational, predictive , ad-hoc and packaged analytics.

Big Data 40

Big Data Hadoop Business Analyst Data Analytics 40

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

JUNE 24, 2021

Access Solution to Insurance Pricing Forecast Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization 4) City Employee Salary Data Analysis One of the best ways to understand a city and how it works is to analyze the salaries of the various employees residing in the city.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

SEPTEMBER 26, 2021

These roles have overlapping skills, but there is some difference between the three. You shall know database creation, data manipulation, and similar operations on the data sets. Data Warehousing: Data warehouses store massive pieces of information for querying and data analysis.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52