Data Science – A Comprehensive Introduction to Concepts, Tools, Techniques, and Real-World Applications

Data Science – A Comprehensive Introduction to Concepts, Tools, Techniques, and Real-World Applications

1. DATA SCIENCE

2. TOPICS Definition of DS & Analytics Merits of Analytics Roles and Responsibilities of Data scientist Possible Application Areas or Domains of DS DS or ML Algorithms Skills Required to Ds Python for DS

3. Multidisciplinary field of Def of DS Scientific Methods Algorithms Systems Processes In order to extract insights from heterogeneous huge amount of data

4. Def of Analytics Study of business data to discover hidden knowledge, correlations, patterns for accurate decision making.

5. Merits of Analytics Improved Decision Making Improved Operational Efficiency Improved Data Quality Improved Customer Intelligence Improved customer service Queries and optimal responses

6. Merits of Analytics Reduced replicated information Reduced operating costs Improved risk management Improved revenue Optimized marketing and branding Better Collaboration with business

7. Roles and Responsibilities

8. Data Scientist Responsibilities Manager Analyst Strategy Collaboration

9. Prerequisites Degree Creative Problem Solving Programming Language Professional Communication

10. Job Roles Data Analyst Data Engineer Data Scientist

11. Roles and Responsibilities

12. Data Science Life Cycle (DSLC)

13. Possible Application Areas of DS

14. Application Area of DS

15. Application Area of DS

16. Application Area of DS

17. Application Area of DS

18. Application Area of DS

19. Application Area of DS

20. Application Area of DS

21. Application Area of DS

22. Skills Req’d to DS

23. Growth Rate of Data Science According to a survey conducted by  IBM , there will be an increase by  364,000 to 2,720,000  openings in the year 2020. Furthermore, the unstoppable rise in demand for data scientists will reach approximately 700,000 openings in the same year. (May 30, 2019)

24. Facts about DS

25. Data Scientist Salary by Experience and Degrees

26. Data Scientist Salary by Industry

27. Data Scientist Salary by Companies