We can work on Data science and big data analysis

These are the questions and my subject is data science and big data analysis
I work as a Business Analyst so you can just relate the answers with this subject( data science and bi data analystics) and send me. it is pretty simple. it is a residency assessment and I need help to just finish it.

. Please Introduce your profession

  1. Introduce your professional background
  2. Relationship to profession: How does this course help you professionally?
  3. Key learnings: What are key learnings so far from the course?
  4. Expectations: What are your course expectations?
  5. Goals for Residency Session: What do you aim to get out of this residency session

Sample Solution

Mill operator, and Achterberg (2000) built a various decision survey to asses the sustenance and nourishment name information among ladies with sort 2 diabetes mellitus who matured from 40 to 60 years. The inquiries were set from the simpler to the hard to encourage certainty among the members. The inquiries that measure the accurate learning were set in the first place pursued by the more troublesome inquiries (procedural information). The test was intended to be finished inside 30 to 40 minutes by generally respondents. The unwavering quality of the test was observed to be 0.80 dependent on Kuder-Richardson recipe 20(K-R 20). After this the thing examination of the first information test was finished. Three inquiries were erased from the test as a result of high record of trouble (two inquiries) and thing separation of just 0.20.The thing investigation for the modified adaptation of the test was done and the dependability of the test was observed to be 0.81 utilizing the Kuder-Richardson recipe 20 (K-R 20) equation. The updated test was directed to 43 ladies Al Shafaee et al (2008) built up a survey to comprehend the Knowledge and impression of diabetes in a semi-urban Omani populace. 563 grown-up occupants of Omani town were talked with utilizing the survey. The last review instrument contained 24 things which were subdivided into 5 areas. The initial two segments secured the socioeconomics and medicinal history of the members. The third segment was for the diabetic members. It secured their diabetic history and glycemic control status. The fourth segment included learning with respect to the diabetes definition, signs and side effects, chance variables and difficulties. The last segment concentrated on the network mindfulness, the member’s observation with respect to diabetes commonness, saw danger of creating diabetes and counteractive action. Likert-type reaction scale was utilized in the survey. To gather information that were generally absurd with a run of the mill Likert scale, open-finished inquiries were incorporated which pursued a shut finished inquiry. The poll was pre-tried and guided inside a comfort test of understudies and staff at the College. Considerable between coding understanding for the scale things was watched (r = 0.86, p

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