This document discusses a learner's guide to data analytics. It outlines several key insights: 1) Business leaders need analytics to make effective decisions and should see it as a thinking skill rather than technical skill. 2) Managers must differentiate between good and bad data analyses by thoroughly understanding problems and how data is generated. They should also question unusual results and know the data themselves. 3) These insights are relevant for Indian managers who must integrate analytics into business plans by starting with a specific problem to solve and ensuring data collection aligns with this problem. Managers should understand data sources and be inquisitive when presented with information.

1. WEEK 2, DAY 6 -ASSIGNMENT

2. Analysis of “A learner’s guide to
data analytics”

3. Introduction
 In recent years, thanks to the incredible
amount of data in this world, data science
has become a necessity for most businesses.
This requires the managers of today to have
a working knowledge of data science.
But most leaders are hesitant to get
involved, as all they see is a storm of facts
and figures which seems to be more of a
technical process.

4.  Business leaders need analytics in order
to make effective decisions and should
stop viewing it as something that falls
beyond their capability. They need to
understand that a working knowledge of
data science requires them to possess
thinking skills and not technical skills.

5. Q1) List the two most important insights from
this article?
 First, managers need to know to
differentiate between a bad analysis and
a good one. The initial step is to start
with the problem and understand it
thoroughly, followed by getting to know
how exactly the data has been
generated.

6.  Next, this collected data should be used
to account for strange or unusual results.
Managers should also make it a point to
know the data themselves before
believing facts that have been
established in advance.

7. Q2) How are these insights relevant to managers
in India?
 Managers need to understand that their
business practice and analytics are not
separate entities. Analytics needs to be
infused into the business plan. The
mission needs to be started off with a
specific problem or question in mind and
the analysis should be done with the
purpose of solving this problem.

8. It is the manager’s and not the analyst’s
job to figure out which problems are to
be solved and how analytics is going to
be incorporated into the business. The
collection of data needs to be in sync
with the problem at hand; one cannot
hope that whatever data is created is
going to be effective.

9.  Also, it is very important to know where
this data is coming from. The methods
used for data collection can tell us a lot
about authentic this information is and
whether it can be trusted or not.

10.  Data analytics is not just about
compressing large volumes of
information. Using the analysis
performed, managers should be able to
give reasons and explain any unusual or
strange results. Just possessing quality
data isn’t enough, it needs to be
understood and proved useful.

11. Managers need to be inquisitive in
nature and should be willing to question
even established beliefs. Before
assuming that a piece of information is
true, he needs to find out and know for
himself whether it is true or not.

12. Conclusion
 Big data being the next new revolution
in this world, managers with a working
knowledge of data science definitely
have an edge over others.
Beyond that, they should also ensure
that this knowledge is shared among all
employees of the organization.

13. THANK YOU!