- Applied statistics (not software, but good old math) including general understanding of machine learning (artificial intelligence).
- R and/or Python with libraries like NumPy and/or pandas.
- Structured Query Language (SQL) with a broad understanding of extensions (vendor-specific syntax) depending on the relational database management system (RDBMS) that the company (your employer) has like Oracle, MySQL, PostgreSQL and/or SQL Server.
- Data visualization applications like Tableau, SSRS and/or Crystal Reports.
- Data normalization (how to clean dirty data using SQL).
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