Part 7/10:
Statistical Analysis and Mathematics: Essential for interpreting data effectively.
Data Visualization: Knowing how to utilize tools like Tableau, Power BI, and Excel is crucial for creating impactful visual reports.
Data Manipulation: Competency in SQL for querying databases is vital.
Communication: They need to relay complex findings in an understandable manner to stakeholders.
Skills Required for Data Scientists
Conversely, data scientists require a more technical skill set that includes:
Advanced Statistics and Mathematics: Necessary for creating predictive models.
Programming: Proficiency in languages like Python, R, and sometimes Java or Scala.