Data Cleanse Data Collection Data Mining Programming Language 
Knowledge Hut
JANUARY 18, 2024
This field uses several scientific procedures to understand structured, semi-structured, and unstructured data. It entails using various technologies, including data mining, data transformation, and data cleansing, to examine and analyze that data. Get to know more about SQL for data science.
Knowledge Hut
NOVEMBER 28, 2023
As a Data Engineer, you must: Work with the uninterrupted flow of data between your server and your application. Work closely with software engineers and data scientists. Let us take a look at the top technical skills that are required by a data engineer first: A. Technical Data Engineer Skills 1.Python
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Knowledge Hut
FEBRUARY 15, 2023
Data analysis starts with identifying prospectively benefiting data, collecting them, and analyzing their insights. Further, data analysts tend to transform this customer-driven data into forms that are insightful for business decision-making processes. SQL SQL stands for Structured Query Language.
ProjectPro
AUGUST 24, 2021
This project is an opportunity for data enthusiasts to engage in the information produced and used by the New York City government. Learn how to use various big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop for real-time data aggregation. Finally, this data is used to create KPIs and visualize them using Tableau.
U-Next
AUGUST 11, 2022
The first step is capturing data, extracting it periodically, and adding it to the pipeline. The next step includes several activities: database management, data processing, data cleansing, database staging, and database architecture. Consequently, data processing is a fundamental part of any Data Science project.
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