Data Analyst Job Resources
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Data Analyst Job Resources

We’re looking at data analyst job resources
so you can land one of these high paying, high job satisfaction data analyst jobs for
yourself. There are over 50,000 job openings for data
analysts in the US alone. And that doesn’t count data scientists which
is booming right now. From healthcare to tech to manufacturing,
data analyst jobs are here to stay and they’re becoming more and more popular. Over 60% of companies are actively saying
they’re planning to increase the number of data analyst jobs that they have within their
organizations because these people bring so much value to their company. If you’re new here, I’m Jen. I have over 15 years of experience as a data
analyst, with managing data analysts, and hiring data analysts. I’ve helped many people build their own data
analyst careers and I want to help you do the same. Whether you’re just getting into a data analyst
career or you want to become a better data analyst, stick around to learn more. There are a lot of resources for learning
data analyst skills. Whether you have $100k to spend on a degree
or less than $1k to spend on getting the skills, there are options for you. They each have tradeoffs. Those degrees can be fantastic because they
also mean a lot of connections with organizations and past graduates that can potentially help
you in getting a job. They also very concisely teach you a lot of
skills from people that have a lot of experience. These degree programs are especially valuable
when they have a practicum aspect where you’re actually applying the skills that you’re learning. NC State’s Masters in Analytics is a perfect
example of a fantastic program that gives business experience and has their graduates
well connected into analytics jobs when they graduate. Maybe you’re not in a position to spend a
lot of money on a degree or you just don’t have the time to dedicate. That could mean that you’re already finishing
up your degree and you don’t want to go on for more. Or maybe you’re already in the workforce and
it’s just not practical for you to quit your job or go to school full time and work full
time. There are still a lot of resources available
to you. A few of the online resources that are available
to you which will require more dedication on your part to manage your own learning process,
but also be much cheap would be DataCamp, edX, Coursera, and Udacity. All of these offer great options for learning
data analyst skills and their either free or fairly low in cost – much cheaper than
a master’s degree would be. There are plenty of other options out there
for learning data analyst skills. I mention these 4 specifically because they’re
well regarded, they’re popular, they’re frequently used, and they have some big names behind
them. I’ve put links in the descriptions to some
of the analytics courses on each of these platforms. If you want to go completely free, you could
put your own free data analyst skill program together. It’s going to take more time than any of the
other options because you’ll need to do a lot of research to make sure you’re picking
the right skills to build and you’re finding good resources to build them. There’s always a tradeoff. You can do things for free or very cheap,
but it’s likely to take more time. Sometimes spending even a little bit of money
on it can help the process go a lot more smoothly, a lot more quickly, and get you into the new
career you want to start. There are a lot of courses within these online
platforms for learning data analyst skills. So how do you pick which ones are important
to learn and which ones are maybe good to know, but not really the priority for you
to focus on? Really, you could study analytics for years
and not cover every single topic. There is always going to be some other area
you could learn in. So how do you know when enough is enough and
you’ve got the skills you need so you can get that data analyst job? I cover all of this in my guide “How to Become
a Data Analyst”. This is specifically the skills that are crucial
for data analysts to know. I link to resources you can use to build them. And I also talk about how to find data analyst
jobs that fit right for you and your interests and skills. Data analyst jobs can be really programming
heavy or they can have almost no programming whatsoever. But they may all carry that data analyst job
title. So that guide also teaches you how to find
those jobs that are the best fit for you. Whether you’re still in college, just graduated,
or have been in the workforce for years, this guide covers everything you need to know to
build up your tools and your skills to land a data analyst jobs. Data analyst skills are just a small part
of how to become a data analyst though. This book also covers how to build practical
data analyst skills that will both enhance your skill resources and help you build up
your resume. When it comes to getting experience, the answer
isn’t always internships. That’s just not practical for a lot of people
if you’re not currently in school. So I talk about other resources and options
to you to build up those skills so you can land a data analyst jobs. There are many different paths that your data
analyst career could take. How do you figure out the right one and what
the next steps are? What’s the outlook in terms of jobs? How hard is it to move up? All of that’s in the book. Finally, all of these topics get pulled together
to help you launch your data analyst career. You’ll pull together what I taught you on
the skills you need and I help you make a specific learning plan to build your own data
analyst career. You’ve probably heard a lot of generic career
advice. And some of it’s probably fantastic advice. What you’ve probably noticed is much of it’s
really difficult to take action on. What if instead of generic advice that at
the end of the day doesn’t do a lot for you, you could learn from someone that has well
over a decade of experience both working as a data analyst and hiring data analysts? And helping people build their analytics careers. That’s exactly what you get in this guide. I’ll use my 15+ years of data analyst experience
to help you launch your data analyst career. This 90 page guide will take you through every
step of becoming a data analyst. Once you’ve built all of your skills to become
a data analyst and you’ve decided which is the right data analyst job type that you’re
looking for, the next step is building a great data analyst resume. Your resume is a marketing document about
you. It’s selling you and your data analyst skills
to the companies and positions you’re most interested in. You can build your resume entirely on your
own. Thousands if not millions of people do this
everyday with varying amounts of success. The reality is as analytics are used to look
at these resumes from the start, 75% of applicants for the average position get rejected right
off the bat before anyone looks at the resume. Companies use data at every step and if the
data that you’re giving them isn’t saying, “I’m the right fit.” Then they’re going to pass on to the next
candidate whose resume says, “Hey! I fit your job! I can do exactly what you need me to do.” That other resume may reflect on someone that
is the same skill level or less skilled than you but they’ve figured out how to combine
all of that data and structure it in the right way to tell companies what they need to know
about them as a candidate. If you’re ready to build an effective data
analyst resume right off the bat, check out The Perfect Analyst Resume training. I’ve put that in the description box below
so you can go find out more about it. I go through an actual data analyst job posting
and talk about how to find the things that are important and then I specifically walk
through writing a resume tailored to that job description to make you a good fit. I expand on that to help you build your resume
to fit whatever job that you may be applying for and make sure you have those good connections
so you’re one of those 25% that automatically get identified as a great fit for the position. If you want ever more individualized help,
I also offer 1 on 1 data analyst career coaching. Career coaching is a great option when you
need help navigating your data analytics career, you want to be thoroughly prepped for your
next data analyst interview, or you want to have a solid salary negotiation to increase
your offer and make even more money. Check out all of the links in the description
for the resources I’ve talked about in today’s video. And another great resource is this channel
so if you’re not already subscribed, consider subscribing and turning on notifications so
you’re notified every week when I upload a new video. I’m always talking about analytics related
topics so this can be a great free resource for you to learn more about data analyst jobs
and data analyst careers. Thank you so much for watching. I hope to see you back in the future.

About Ralph Robinson

Read All Posts By Ralph Robinson

8 thoughts on “Data Analyst Job Resources

  1. There are so many options for learning data analyst skills and building up your resume to get a data analyst job. Let me know if you have a favorite online course that's helped you build your skills.

  2. Thanks for the great video! Do you consider presenting a project as a key part of data analyst job application?

  3. where did you get the numbers that there is 50 000 data analyst job to take in the US ? Does theses companies hire non-US citizen also ?

  4. I have a question… part of my job in healthcare is collecting raw data from out claims platforms then by using excel only I create chart and visual aids and sort the data for my bosses to tell them where and when we fail and how good we do…. am I a data analyst? I am in process of learning python

  5. Thank you for sharing such an amazing experience and knowledge about the subject matter. I want to find out if you could refer me to a training program for beingger on data analyst.

  6. What associations or societies would you recommend for data analysts, particularly in the medical research and/or healthcare field? I would like to learn more from data analysts by attending conferences, reading newsletters, etc. through their associations/societies. Thanks!

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