If you do not have knowledge in these areas, we strongly recommend that you take Intro to data Analysis with Excel (CEBD 1300), Intro to SQL (CEWP 215), Intro to R (CEBD 1200) and/or Intro to Python .

The R programming language is an important tool for development in the numeric analysis and machine learning spaces. With machines becoming more important as data generators, the popularity of the ...

Transform data into actionable insights with Purdue University’s Applied Data Analytics Technology Graduate Certificate. This 100% online program equips you with cutting-edge skills in data analysis, ...

This flexible and career-focused program equips you with advanced IT skills to address pressing technological challenges, manage complex projects, and drive strategic change across industries. Tailor ...

*Jupyter Notebook for coding and documentation. *Statistical analysis techniques for exploring relationships and patterns in the data. Through this project, we aim to provide valuable insights to the ...

Curious about AI-driven data insights? ChatGPT's advanced tools simplify data analysis, helping you handle complex datasets, find insights, fix errors, and uncover trends in minutes.

Biologists and chemists have a new programming language to uncover previously unknown environmental pollutants at breakneck speed – without requiring them to code. By making it easier to search ...

SAS programming, under the skilled guidance of Uttiramerur, has transcended the boundaries of traditional clinical settings. It has permeated data analysis, population health management, and ...