Reply to Seth Adams’ Initial Post – Statistical Qualifications, Diagnostics and Review

I
need a profession who is an expert in Business

 

Analytics


This course provides an overview of the process and skills necessary for
organizational leaders to make effective data driven decisions.

Topics
include: defining business analytics, quantify value it brings to an
organization, harnessing the power of analytics to gain advantage.

 

Professor
Feedback from last discussion post:

Please
consider using a scholarly source/commentary for your Biblical interpretations
instead of your own opinion. In your last reply, you could have used this
Biblical commentary from the JFL 

http://liberty.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1bT8IwFD5BicYXvCbghfBgeDBOu0s7MIgZ45rgMArPzdZNWaKQgJD4h_0dtnUlKJro29bLetKTk57v9DtnAKfI5xZGGNNCwcexTFbWAhz5mo1Kgcl0HxtY5Ds7xLnH7ZZVa6bgXeXCqJqy_vOL_0OCg0hVFdTGN_VzqZs4uVMXoSWkdzu1AeWwt_-LXqUKOZS-jkWhU4NjG2IgLP1knZzHwoD5GVjmqAGpxkXcsOEVp3MmZ7v9XnF2ET-NxpNINERUSiVGvU5mUXHOV14S5krZ_RqkCUdcHCRmlrqp6yxs0LIEIsNI5qARW4qHVWmq5F3_4g1vT8d-smtI5w-zTyKnPB-bO5CORNLELqSi0R5sKp7zPmQqw-rdREgdTCuXw-oB6M1G321r3z9HkzgSXdkvMwsFYgYBIozgR9u0EOPOQ8hdMCMMsWkzzHAOCkpUKq9_E84pbdRcIqr5WaUcnP19zcP_DD6CLUNQUGTE5BjWhW5OYCOZnV9RQh6yTvfWoQPP4UdZy2vUabvXrXe81sMHOXHSQQ

 

The
discussion question should include our learning outcomes for this week include:

·        
Identify
Statistical QDR—the three pillars for Best Statistical Practice.

·        
Interpret
the quality of the analytics-based decisions and the data analyses.

·        
Examine
the continually improving the analytics-based decisions and analytics tools.

·        
Identify
the amount, accuracy, and reliability needed to economically solve the business
problems.

·        
Identify
the qualities of a qualified business data analytics quant.

 

·        
80% focuses on analytics, ensuring the professor is convinced you
understandthe items you were to read this week.

·        
Only 20% should include faith integration – ensuring when referencing the bible, statements
should include how this is relatable to data analytics  and how it is incorpated in analytics.

 

For
our learning for Week 6, we will engage:

·        
Ahmed:
Sections 11.1 – 11.9

·        
Camm
et al: Chapters 7 – 11

·        
Watch:
Four Types of Hearts (Transcript of Video is attached)

·        
Watch:
Statistical Data Visualization (Transcript of Video is attached)

 

  • Discussion: Statistical Qualifications,
    Diagnostics, and Review
    • Engage with our assigned reading this week.
    • provide a critical analysis discussion using
      your own professional work experience and learning from the reading.
    • Be sure to review instructions before
      beginning the discussion.

 

 

 

 

Discussion Assignment Replies Instructions

In this class, you will participate in Discussions based
on the specific weekly topics covered in the course textbook chapter required
reading in each Module.

You will discuss the topic presented and each weekly
discussion on analytics. You may discuss each situation from your own current,
professional experience and your own research. Each discussion is completed in
2 parts: an initial thread and 2 replies to classmates’ threads. Below are the
general requirements for each forum.

Note: A major theme of these lessons is how
the biblical concepts in the weekly biblical textbook or the Bible can provide
a solid foundation for leadership in discussion of the weekly forum topic. When
you cite them, make sure you build upon that major theme and apply it to the
ideas in your posts.

Thread: Read both the required topic textbook
chapters, and the biblical integration provided topic for the discussion. Then,
provide discussion using your own professional work experience and learning otcomes
from the reading.

At the post graduate level you are not to provide a
summary. You are required to provide a critical thinking assessment of
the topic. You must use at least one (1) Biblical citation and reference, that
integrates the topic of the week. One (1) high-quality peer-reviewed journal
article citation and reference. One (1) course textbook citation to inform you
further on the topic. It’s always best to use your current career experience to
provide quality examples that demonstrate how the weekly topic plays out in the
real world.

You must cite all sources you used in current APA
format.

Replies: Provide 2 thoughtful replies to
the threads of classmates. Each reply must include an analysis of your
classmates’ threads, based on any experience from your own professional career
(if applicable) that might be relevant. All replies must be 250–500 words (approx.
1–2 pages). Also, be sure to integrate the required reading in a logical and
relevant manner.

You
must cite:

  • The textbook(s) (One of course textbooks is acceptable)
  • At least 1 peer-reviewed journal article published
    within the past 5 years or a biblical passage of scripture (Bible source
    must be referenced).

 

Course
Material:

Ahmed,
M., & Pathan, M. K. (2019). Data analytics: Concepts, techniques, and
applications (5th ed). ISBN: 9781138500815.

Camm,
J. D., Cochran, J. J., Fry, M. J., & Ohlmann, J. W. (2024). Business
analytics: Descriptive /predictive/prescriptive (1st ed). Cengage Learning.
ISBN: 9780357902202.

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