Alteryx Self-Service Data Analytics : A Beginner's Course - UdemyFreebies.com

Alteryx Self-Service Data Analytics : A Beginner's Course

Business

English

This is specially crafted course that provides in-depth knowledge of Data Preparation fundamentals.

Data preparation is an integral step to generate insights. It is one of the most time-consuming and crucial processes in data mining. In simple words, data preparation is the method of collecting, cleaning, processing and consolidating the data for use in analysis. It enriches the data, transforms it and improves the accuracy of the outcome. Some of the key challenges faced by analysts and data scientists in dealing with data preparation include:

  •       Multiple data formats

  •       Data inconsistency

  •       Limited/large access to data

  •       Lack of data integration infrastructure


Data preparation is mostly done through analytical or traditional extract, transform, and load (ETL) tools. Both of which have their own advantages and limitations. In order to effectively integrate a variety of data sources, organizations should align the data, transform it and promote the development and adoption of data standards. All these things should effectively manage the volume, variety, veracity and velocity of the data.

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