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Top Data Cleaning Techniques & Best Practices for 2024

Knowledge Hut

What is Data Cleaning? Data cleaning, also known as data cleansing, is the essential process of identifying and rectifying errors, inaccuracies, inconsistencies, and imperfections in a dataset. It involves removing or correcting incorrect, corrupted, improperly formatted, duplicate, or incomplete data.

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Why is Data Science Important in Today's World?

Knowledge Hut

This is why data science has become increasingly popular. Data scientists are like modern-day wizards with the skills and knowledge required to transform massive amounts of raw data into useful information and insights. If you are curious to know more about data science, you can check out what is Data Science course.

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Top Business Intelligence Platforms of 2024 [with Features]

Knowledge Hut

Business intelligence (BI) is the collective name for a set of processes, systems, and technologies that turn raw data into knowledge that can be used to operate enterprises profitably. Business intelligence solutions comBIne technology and strategy for gathering, analyzing, and interpreting data from internal and external sources.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

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. The Yelp dataset JSON stream is published to the PubSub topic.

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Data Analyst Interview Questions to prepare for in 2023

ProjectPro

Data Profiling, also referred to as Data Archeology is the process of assessing the data values in a given dataset for uniqueness, consistency and logic. Data profiling cannot identify any incorrect or inaccurate data but can detect only business rules violations or anomalies. 5) What is data cleansing?