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viewpoints: Qualities & skills to be a data analyst | Mobstudio | YouTubeToText
YouTube Transcript: viewpoints: Qualities & skills to be a data analyst
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in this video we will listen to
practicing data professionals talk about
the qualities and skills required to
become a data analyst the qualities and
skills of a data analyst a person who's
curious naturally someone who has
attention to detail and enjoys working
with computers a curious person will
look to find answers even sometimes when
there isn't a question or they don't
mind researching and looking in areas
that may not have been thought up before
attention to detail or looking for
patterns do you walk into a room and and
just count naturally people um how the
the room is set up paying attention to
closed details and then enjoying
computers because technology is moving
so fast something or skill that you
learn today in two to three years may
not be applicable so you need to be able
to develop new skills and learn new
software depending on how the market or
the industry has changed definitely both
the technical skills and softer skills
are required technical skills include
python c r Tableau and powerbi and the
soft skills or interpersonal skills mean
whether you know what's the right data
to utilize and what's the right tool to
use and how to present the data to the
key stakeholders and these skills has
required the business Acumen and the
presentation skills you have to be very
detailed oriented you have to love
numbers you have to love information and
be willing to look at that information
and not just look at it on the surface
but dive deeper so for example in what
we do I can't just take a bank statement
at face value I have to actually look at
it and compare it does the SE look right
especially in today's world there's a
lot of Fraud and misom communication so
to be and and people that are trying to
take your information and fraudulently
use it so a good data analyst should be
able to compare last year's information
to this year's information to see if it
looks right you have to have that eye
and that mindset and not just take
things at face value there are many
qualities and skills required to be a
data analyst and I'd break them down
into two B buckets basically soft skills
and technical skills I think the most
important soft skills for data analyst
is to be really curious to ask a lot of
good questions to be really thoughtful
and to listen carefully and understand
both the user perspective and your
co-worker perspective and what they most
need from the data and always be willing
to learn because analytics is a
fast-moving field so you have to
constantly be learning and reading to
stay on top of it there are many
technical skills required to be a data
analyst the most important technical
skill for any new data analy analyst to
learn is SQL it's by far the most widely
used and anytime you're extracting data
from a database uh you're going to need
to know SQL um and there is nothing
quite like a data analyst with really
really good SQL skills I think sometimes
people get ahead of themselves and try a
bunch of very complicated Technologies
before getting the basics uh of sequel
down and I think that's a really big
mistake I think it's always nice to know
Python and R which are the two main
programming languages used uh to do data
analysis um I think as a new data
analyst you don't need to be proficient
in both or really either um but starting
to get good at one or the other uh is
going to be really useful for your
career another important technical skill
to have for a data analyst is uh to be
really good at at least one data
visualization tool and to understand and
general principles of data visualization
today the endtoend skill set of a data
analyst is far more Dynamic than what it
used to be so a data analyst needs to uh
know what problem they're trying to
solve with the data pull that data as
they need it in the structure they need
it in using SQL from the data Lake um
that it's sitting in uh you know
there'll be many different tables and
they'll need to figure out how to join
them and pull the data clean it up uh
Wrangle manipulate it mine it so that
they're able
to uh kind of green insights out of it
present those insights concisely clearly
using good visualizations and dashboards
and in other words be able to tell a
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