After watching the videos and completing the readings, consider how Big Data is leveraged in organizations.
Describe situations that involve Big Data (you should use a real situation) and how the organization can use this information as leverage.
Utilize what you read in From Data to Decisions The Power of Analytics in reading assignments.
Uploaded file – M1 Reading From Data to Decisions
#2 – Variablility
Briefly describe how your company/organization determines risk?
https://www.investopedia.com/ask/answers/021915/how-standard-deviation-used-determine-risk.asp
#3 – Causal vs Correlation
Think about anything you may have read or heard recently in relation to a causal relationship between two factors (e.g., sugar substitutes and cancer).
Find a related news article or video.
Post a link to the article or video, and discuss other factors that may need to be considered.
Does the popular press media portray the results of the study different than the study itself?
Can you locate the study to verify its claims?
#4 – Group Differences
After watching the Anne Milgram video, think about other areas where data is not currently utilized in decision making.
Discuss how this may be detrimental.
How might the system be improved by using data?
#5 – Errors
After reading the article, Trust the Evidence, Not Your Instincts in the reading assignments, think about a time/situation where you could have made a better decision if you had followed this advise. Describe the situation and how it could have turned out differently.
Uploaded file: Trust the evidence, not your instincts
#6 – Hypothesis
Create an Ngram and do the following:
Run an Ngram with a single term and discuss the query (e.g., Management).
Run a new Ngram with 2 terms and discuss the relationship (e.g., Management, Leadership).
Run another NGram with a third term added and discuss what happens (e.g., Management, Leadership, Corporate Social Responsibility).
Run another Ngram for Smooth at 50. What happens?
First, share your results after run those 4 Ngram listed above.
Also, can you think about the situation that might use text mining and the associated statistical testing to solve problems? Share your thought.
https://books.google.com/ngrams
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