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 […]

Although I teach SQL, I recommend studying Python if you are interested in data analytics rather than using MATLAB or R. Although Python is not a data science language, there are several libraries designed to analyze data in Python. Conda – package manager IPython – shell for interactive computing Jupyter – facility to write documentation […]