Practical Data Preparation: Solutions to the Top 5 Most Common Mistakes
Data preparation has always been one of the most time consuming tasks of the data science lifecycle.Over the years, this tedious process has become more efficient thanks to tools that speed up the practice, notably through automation. However, the data preparation phase of the data science lifecycle remains a significantly time-consuming step that needs to be optimized in order to scale AI across the organization and complete more projects faster.
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In this ebook, we will go over five common mistakes that arise during data preparation to help analysts upskill, paving the road to becoming successful citizen data scientists.
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Big Data Software
Big data software refers to a set of tools and technologies designed to store, process, and analyze ...

Data Mining Software
Data mining software refers to specialized tools and applications designed to extract valuable insig...

Data Warehouse Software
Data warehouse software refers to a specialized tool or platform designed to manage and store large ...