Who is a Data Scientist?A Data scientist is a person who finds solutions to the problems by analyzing big or small data using appropriate tools and then communicates his or her finding's in the form of stories to the relevant stakeholders. A person who is curious, fluent in analytics and has the ability to communicate the findings is a data scientist and data scientist is not restricted to particular analytic tools such as machine learning.
|Data Science Report|
A Data scientist is the unique blend of skills that can both unlock the insights of data and tell a fantastic story via the data. A Data scientist is someone who is part of computer scientist, part software engineer and part statistician. A Data scientist tend to be very curious people, thinkers who ask good questions and are OK dealing with unstructured situations and trying to find structure in them.
What Is Data Science?Data Science is a process, not an event. It is a process to understand different things, to understand the world. If you have some model or hypothesis of a problem and you try to validate that hypothesis or model with your data, that is data science. Data science is an art of uncovering the insights and trends that are hiding behind data. The data can be structured or unstructured. A Data science can be defined as something that data scientists do.
The ten main components of a report that would be delivered at the end of the data science project are as follows:
1. Cover PageCover page is very important for any report. The cover page includes the title of the report, name of author and their affiliations and contacts, name of the publisher (if any) and the date of the publication. Having your contacts will help your readers to connect you. It shall be very useful from the business point of view.
2. Table of ContentsTable of Contents is like a map needed for a trip never taken before. The table of contents gives you a fair idea of the topics to be covered in the report in a sequential manner. You will actually get a glimpse of the landmarks and what the report is going to offer.
3. Introduction SectionA Introductory section is a must. It helps to setup the problem for the reader who might be new to the topic and would need gentle introduction to the subject matter before being immersed in intricate details.
4. Methodology SectionThis is the section where you introduce the research methods and data sources you used for the analysis. For instance, if you have collected new data, explain the data collection exercise in small detail. You will refer to the literature view to bolster your choice of variables, data, and methods and how they will help you answer your research questions.
5. Result SectionThe result section is where you will present your empirical findings. Starting with the descriptive statistics and illustrative graphics, you will move forward formally testing your hypothesis.
6. Discussion SectionIt is the discussion section where you craft your main arguments by building on the results you have presented earlier. Here the power of your narrative enables the numbers to communicate your thesis to your readers. You highlight how your findings provide the ultimate missing piece to the puzzle.
7. Conclusion SectionIn conclusion section you generalize your specific findings and take on a rather marketing approach to promote your findings so that the reader does not remain stuck in the caveats that you have voluntarily outlined earlier. You might also identify future possible developments in research and applications that could result from your research.
8. Housekeeping SectionHousekeeping section covers the list of the references you used for solving the problem.
9. Acknowledgement SectionAcknowledgement section is where you acknowledge the support of those who have enabled your work to be completed.
10. Appendices SectionAppendices section contains supporting information and supplementary data that is not an essential part of the text itself but which may be helpful in providing a more comprehensive understanding of the research or it is the information that is too cumbersome to be included in the body of the paper.
Hope you got to know what is data science?, who is a data scientist? and how to prepare a data science report? or any other report.