The 10 Leading Data Analytics Course Providers

So, what is a data analyst specifically?
For starters, data analysts ascertain how data can be used in
order to answer questions and solve problems. They are
professionals who scrutinise information using data analysis
tools. Essentially, they study what is happening now to
identify trends and pull meaningful results from the raw
data to help their employers or clients make important
decisions by identifying various facts and trends.
This is the purely objective way of defining the role of a
data scientist. But then the question arises, what makes a
good data scientist? So, let us dive into the topic a little
more and take a look at some of the softer traits of what
would make a good data analyst.
Tell a story, but keep it simple
“If you can’t explain it simply, you don’t understand it
enough.” - Albert Einstein
People respond well to information when it is laid to you in
a narrative sense. That is the core power of a story. Data
needs someone to clarify and simplify in terms that the line
of business, project managers as well as their team will
understand.
A good data analyst must be able to communicate or present
ideas clearly and confidently such that a non-technical
audience can grasp the subject matter easily.
Pay attention to detail
“The Devil is in the details,” goes a saying. This is an
important, yet silent, job responsibility of a data analyst.
This can help him/her to question or manage suspicious
events during any data analysis project to avoid making
expensive mistakes down the line.
Be creative with data
This pointer entails two major qualities that every good data
analyst should inculcate in their palate: Ability to
demonstrate the data proficiency; Flair and mastery on data
manipulation to solve or answer questions arising in an
organisation.
Ordinary people tend to ignore and translate less obvious
patterns into business meanings. But for a data analyst, with
gaining proficiency in the job, he/she must also be able to
identify such patterns and look at disjoint thought or action
to discern meaning.
Be a people person
This pointer is a less obvious one. Nonetheless, a good
analyst should be comfortable and liaising with a whole
range of people across different line of business; and since
he/she is very often middleman/woman between people and
the line of business.
This helps enhance the engagement between them and
people, enabling an easy understanding of business
requirements and delivering an outstanding data analytics
project.
Keep learning new tools and skills
“The intelligent man is one who has successfully fulfilled
many accomplishments and is yet willing to learn more.”-
Ed Parker.
A good data analyst must strive to be better all the time,
learning news ways of handling data, learning new tools,
doing presentations, communication styles. The world of
data analytics is very dynamic and changes a lot. So, resting
on laurels is hardly a positive thing for a data analyst. To
stand apart, you have to continue to develop yourself and
build capacity in terms of technical skills.
Know when to stop
Last, but certainly not the least, a good data analyst must be
able to judge when good is good enough while delivering a
data analytics project. For example, if for a project, the
solution you deliver is already 80% satisfactory, then trying
to add remaining 20% will cost you an extra (roughly) 50%
of your time, energy and resources.
A competent data analyst should bear in mind the option of
delivering the 80% as it is good enough, so as to enable
him/her to re-invest any additional time or resources on
other project priorities. T R
- Aditya Umale
“It’s all about finding the calm in the chaos.”- Belinda
Davison.
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APRIL | 2021