Data science is a multidisciplinary blend of data interface, algorithm development and technology in order to solve the analytical complex problem .The person who work on data science is called Data Scientist .It is similar to knowledge Discovery in Data base .In this article we will discuss some interview tips for data science.
Various Key Roles for Data science :
- The Data Scientist :
- The Data Analyst
- Data Architect
- Data Base Administrator
- Business Analyst
- Data and Analytic Manager.
Key Skills for Data Science to Crack Interview Easily:
Machine learning is the key concept in the data science.Machine learning is part of artificial intelligence.It focuses on the development of computer programs that can change when exposed to new data.
Coding languages such as PYTHON and R.
The main coading language uses in data science is PYTHON and R.Python is a high-level programming language that bills itself as powerful, fast, friendly, open and easy to learn.R coding language is opposit to the python.These coding language are mainly used for Data analysis perspective.
Knowledge on Data bases such as MYSQL and POSTGRESQL.
languages which used to handle databases in the data science are MYSQL and POSTGERSQL. MYSQL language used for accessing , adding and managing the data in the databases.It is an OPEN SOURCE RELATIONAL DATA BASE MANAGEMENT. POSTGRESQL language used for strong reputation for reliabilty,data intergrity and correctness. It is an OPEN SOURCE object RELATIONAL DATA BASE MANAGEMENT.
Data Visualization and Reporting Technologies
These technologies mainly used for preparing reports . Data visualization technologies used to express the huge data with appropriate images and graphes. Reporting technologies used for preparing reports in understandable way.
Tips for the interview:
- Allocate more time in your preparation on Mathematical statistics and Analytical tools.
- prepare At least Two Business case studies..
- For more importent questions and answers