Getting a data analyst position can be quite challenging in the absence of proper skill sets. Here is the well-filtered list of tools that played a big role in my job search experience:
Excel
Obviously, Excel is not going out of hand. Deep understanding and practice of pivot tables, VLOOKUP, and data visualization enable a user to work seamlessly with large datasets.
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SQL
SQL forms the backbone of database operations. It is about teaching joins, sub-queries, and some optimization techniques that are major constituents of data handling and extraction.
Power BI
Power BI connects user necessities with huge datasets in between the bridge. The more one gets into the depth of DAX formulas and data modeling, the better they will become at developing insightful visualizations.
Python
Python is unrivaled in analysis flexibility. Knowledge of libraries like Pandas, NumPy, and Matplotlib make automation possible and complex analysis fully supported.
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