Defining data science and data scientist, and describing the different sections comprising a final deliverable of a data science project Solution

Peer-graded Assignment: Final Assignment Solution

Solution: defining data science and data scientist, and describing the different sections comprising a final deliverable of a data science project.
Project Title:

Transparent recruitment process analysis.

Defining data science and data scientist:

A data scientist is a professional responsible for collecting, analyzing and interpreting extremely large amounts of data. The data scientist role is an offshoot of several traditional technical roles, including mathematician, scientist, statistician and computer professional. A data scientist, based on my current understanding, is the person who connects the dots between the business world and the data world. Similarly, data science is the craft that a data scientist utilizes to make this happen.

Data science and machine learning provides the basis for business growth, cost and risk reduction and even new business model creation. Built for data scientists by data scientists, Now you can create value faster using the best of open source and IBM together. Data Science is a detailed study of the flow of information from the colossal amounts of data present in an organization’s repository. It involves obtaining meaningful insights from raw and unstructured data which is processed through analytical, programming, and business skills.

Data science can be applied to problems across different industries. Give a brief explanation describing what industry you are passionate about and would like to pursue a data science career in? (2 marks):

My dream is marketing-like data-driven approach in IT-recruitment and transparent process of analysis of digital-marketing to hiring efficiency.I want to make a powerful data scientist.

Describing the different sections comprising a final deliverable of a data science project:

• 1.Discussion section
• 2.Conclusion
• 3.References
• 4.Appendices
• 5.Cover page
• 6. Table of content
• 7.Introductory section
• 8.Literature review
• 9. Methodology section
. 10. Result section

Review criteria:

This assignment will be graded by your peers who are also completing this course during the same session.

There are a total of 10 points possible for this final project.

Below is the breakdown of possible points:

  • Problem 1: 3 points
  • Problem 2: 2 points
  • Problem 3: 5 points
Conclusion:

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