Category: Data Analytics
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Data Cleaning: Alteryx vs Python
Data cleaning, blending, and transforming are crucial to any data analyst’s career. As data analysts, we often need to work with data collected from different sources. Different organizations have different ways of storing data; even the data operators in the same organization might initially input data differently if there is no standard practice. So, the…
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Database 101: How to make smart database
Let me clear this first, Excel is not a database. Understandably, many companies start their journey by recording their data, transactions, and sometimes other forms of information. But in the long run, the realization will hit you in the face. Now that we have gotten that out let’s talk about the database. Every company in every industry will…