What are the key requirements for becoming a Data Analyst?

Data Science, AI and ML
#1
  • Be well-versed with programming languages (XML, Javascript, or ETL frameworks), databases (SQL, SQLite, Db2, etc.), and also have extensive knowledge on reporting packages (Business Objects).
  • Be able to analyze, organize, collect and disseminate Big Data efficiently.
  • You must have substantial technical knowledge in fields like database design, data mining, and segmentation techniques.
  • Have a sound knowledge of statistical packages for analyzing massive datasets such as SAS, Excel, and SPSS, to name a few.