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Data Analytics Projects: 9 Project Ideas for Your Portfolio

Edureka

In today’s data-driven world, data analytics plays a critical role in helping businesses make informed decisions. As a data analytics professional, building a strong portfolio of projects is essential to showcase your skills and expertise to potential employers. What is the Role of Data Analytics?

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Veracity in Big Data: Why Accuracy Matters

Knowledge Hut

Data veracity refers to the reliability and accuracy of data, encompassing factors such as data quality, integrity, consistency, and completeness. It involves assessing the quality of the data itself through processes like data cleansing and validation, as well as evaluating the credibility and trustworthiness of data sources.

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Real-World Use Cases of Big Data That Drive Business Success

Knowledge Hut

Go for the best Big Data courses and work on ral-life projects with actual datasets. Big Data Use Cases in Industries You can go through this section and explore big data applications across multiple industries. AWS (Amazon Web Services) offers a range of services and tools for managing and analyzing big data.

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Data Aggregation: Definition, Process, Tools, and Examples

Knowledge Hut

Data Aggregation Examples Data Aggregation methods are used in variety of fields below are few examples where data aggregation is extensively used: Financial data analysis: In finance, data aggregation is frequently used to examine portfolio success and stock market trends.

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How To Switch To Data Science From Your Current Career Path?

Knowledge Hut

Class-label the observations This consists of arranging the data by categorizing or labelling data points to the appropriate data type such as numerical, or categorical data. Data cleansing / Data scrubbing Dealing with incongruous data, like misspelled categories or missing values.

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Data Analyst Interview Questions to prepare for in 2023

ProjectPro

Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers Robert Half Technology survey of 1400 CIO’s revealed that 53% of the companies were actively collecting data but they lacked sufficient skilled data analysts to access the data and extract insights. 5) What is data cleansing?

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Big Data vs. Crowdsourcing Ventures - Revolutionizing Business Processes

ProjectPro

The goal of a big data crowdsourcing model is to accomplish the given tasks quickly and effectively at a lower cost. Crowdsource workers can perform several tasks for big data operations like- data cleansing, data validation, data tagging, normalization and data entry. What’s your opinion?