Welcome everybody you're watching Mr Fugu data science. What are we going to talk about the
future of data analytics in the year of 2023 and some of my thoughts and opinions. That's just all
it is okay. It's imperative that you learn some of these tools if you want to stay relevant. I
think that AI, artificial intelligence and deep learning are extremely important to have in your
workflow. To help you automate processes for doing predictions, to make you more viable in
the workplace as a competitive person. Statistics are incredibly important. One of the things that
I could say is that automating processes will not be able to take advantage of is your
mind, problem solving and critical thinking. This is something that in the normal day-to-day job won't
necessarily get replaced. For example if you're doing the same kind of stuff for cleaning data, if
you're trying to parse something. These are things that you could try to automate over time. To help
you out with your workflow and yes these kind of tasks can take away from people's jobs. That's a
fact. Some of the things I think you should learn are dashboards. Make sure your math is up to par
your linear algebra, calculus for example. These are things I feel are important. If you decide to stay
in data science, data analytics you want to get into this field. Consider what kind of discipline
or specialty you're interested in right. Don't necessarily follow the trends. Oh my God. AI chat
Bots. Let's go do everything with chat GPT. Yeah it helps you with the workflow, it's great you could
write papers, you could help you with code you could generate new ideas. It's a great tool to
add in your toolbox right. But you need to realize that you need to try to stay relevant. Because this
is an ever-growing field and anything Tech related you need to try to stay on par with new technology,
new software, new ideas to help retain employment, to keep your skills up, to help you with new ways
to problem solve. But find something that works for you that you actually like. Do you want to do deep
learning? Do you want to do financial analysis? Do you just want to do visualizations? Do you want to
you know do algorithm work? Figure out what works for you. Don't just jump along and figure out you
know the next hot thing because maybe you don't like it maybe it pays great but it's something
you might not understand or have full interest. Then do something you like and if not try to do
something that could at least keep you employed and above all for whatever you're working on try
to understand what the real world applications are for this stuff. That's really important to try to
figure out how to actually apply this stuff to the real world instead of just theory. That's something
that can get overlooked very easily coming from academia. Since there's been a shift in the job
market I think that people instead of, you know being up in arms about jobs that are going to
get replaced. Think about ways to stay competitive think about skills that you could attain to make
yourself interesting to a potential company or a new client if you are an independent contractor.
Whatever it may be. And this isn't exactly just for tech jobs understand that this applies for
your whole life. Change your way of thinking in order to help yourself. Instead of thinking at
the end is near and everything is bleak. Try not to think that way. Think about your future.
The predictive analysis, deep learning, research these are things that are incredibly important
right. What should we think about when it comes to the employer? Remember they're in it for the
money. They want to return on investment for each person and they have to now reconsider how they're
going to hire and fire people. Because they're going to be under scrutiny because thousands
of people are going to lose their jobs in the future five, ten years. Let's say that's going
to make the labor market for certain fields such as tech people or anyone using any intellectual
property they will need to diversify their mindset and the way they go about their job. And it may get
more complicated and extremely competitive. But there's going to become a point where in
my opinion you will need more people with these kind of skills to help advance the future. But
if you could understand that maintaining certain skills for instance if you're in computer science
or anything data related try to stay relevant on current topics and possible research and
try to niche down into something that you like and see if that works for you .I think the chat bots
are great. I don't think that you know I should say there's a pending doom no not at all but I
think that understanding how to use this stuff for whatever specific use case you want is the
most beneficial this is just my two cents for today yeah I'm going on a rant but I feel it's
kind of important to put something basic like this and just explain that I would like people
to be more open and think differently when they see something such as... When computers came out
people freaked out. When the internet, the .com stuff. It's nothing new you know. Just look back on the
past and figure out how it may relate slightly and adapt. Now I was told this when I was a kid
and I'll leave that with you. But as always like share and subscribe and if you subscribe turn on
that notification bell. Thanks for watching I'll see in the next one. Later, bye. I get
a kid hide your head they'll tell you what to do in life instead of everything