Data and Statistical Services
Science, Technology, Engineering and Math (STEM) along with Data Analytics look at raw data and convert it into useful information. Data often has missing fields, invalid entries, and duplicate records. Data can also be in multiple files or formats that need to be decoded and merged together, so it can be used successfully. We use Excel, Python, R, and SAS to process these multiple files to extract useful information our customers can use, making their businesses more profitable.
