Data Science

Data Science

1. What is the difference between Data Science and Data Analytics? Where are each of them applied?

   • Data science is a term that encompasses all aspects of data processing, from collection to modeling and reporting.
   • Data analysis is primarily concerned with statistics, mathematics, and statistical analysis.

2. What knowledge and / or skills do you need to be a data scientist or data analyst?

3. What is the relationship with Big Data and statistical analysis?

4. What is the difference between Data Science and Data Analytics? Where are each of them applied?

   • Data science is a term that encompasses all aspects of data processing, from collection to modeling and reporting.
   • Data analysis is primarily concerned with statistics, mathematics, and statistical analysis.

5. What knowledge and / or skills do you need to be a data scientist or data analyst?

   • Critical thinking, Effective communication, Proactive problem solving, intellectual curiosity, business sense

6. What is the relationship with Big Data and statistical analysis?.

   • Statistics in Big Data is based on understanding the variables of the information and the relationship between the variables found in it. Statistics help you understand what your data population looks like.

7. Data

8. Science

9. Anakytics

10. Skills

11. Maths

12. Thinking

13. Business

14. Big data

15. Statics

16. Variables

17. Analisis