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Start your free data analytics course

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7 FREE ONLINE DATA ANALYTICS COURSES FOR BEGINNERS

BY WILL HILLIER, UPDATED ON DECEMBER 19, 2022 12 mins read

Want to try your hand at data analytics? Here’s our hand-picked selection of the
best free online data analytics courses available right now. 

Ask any employer and they’ll tell you the same thing: there’s a huge digital
skills shortage. Data analytics, in particular, is one of the most sought-after
skills that employers are currently seeking. While traditional data scientists,
with their in-depth expertise, are still much-needed, there’s now a growing
requirement for employees with a broad understanding of data analytics
principles, regardless of the role they work in.

In short, data analytics is becoming a must-have, 21st-century skill. Whether
you’re hoping to specialize in data analytics or simply future-proof your
career, a free online short course is a great way to get started.

This post covers everything you need to consider when choosing a free data
analytics course, before rounding up the best options available. If you want to
jump straight to our selection of free data analytics courses, just use the
clickable menu to head to section four. 

 1. What is data analytics?
 2. What’s the difference between a free data analytics course and a paid
    program?
 3. What should I look for in a free data analytics course?
 4. The best free data analytics courses online
 5. Wrap-up and further reading


1. WHAT IS DATA ANALYTICS?

Data analytics. It seems like everybody’s talking about it, right? But what
exactly is it? You’ll find a great introduction in the following video, or just
keep reading!



Put simply, data analytics is a scientific approach to decision-making. Sounds
simple enough! Truth is, ‘scientific approach’ means understanding a great many
nuances relating to data collection, cleaning, and analysis. Meanwhile,
‘decision making’ covers many areas, too, from predicting health outcomes to
assigning budgets. All this requires careful planning. 

Learn more: Data Analytics for Beginners


WHAT DOES DATA ANALYTICS ACTUALLY INVOLVE?

Typically, the data analytics process involves many tasks. These usually include
defining a problem, deciding which data to collect to solve that problem,
collecting and cleaning those data, transforming and modeling them, and finally,
using all this to extract useful information to support making a decision! We’ll
grant you, this is a longer definition than our first one, but it’s an honest
one! 

Learn more about the data analytics process in this post. 


WHY IS DATA ANALYTICS SO HOT RIGHT NOW?

Data analytics has been around in one form or another since humans first started
scratching figures onto wax tablets. However, data analytics in its modern sense
has only really gained traction with the dawn of digital. In large part, this is
thanks to the huge amounts of data that we now produce every day—whether we’re
catching an Uber, making a bank transfer, or simply sending an email. This
explosion of data has coincided with strides forward in technologies that
automate much of the data analytics process. This includes machine learning
algorithms and complex data storage architectures that allow us to manipulate
big data with (relatively speaking) incredible ease.  


2. WHAT’S THE DIFFERENCE BETWEEN A FREE DATA ANALYTICS COURSE AND A PAID
PROGRAM?

OK, so we know what data analytics is. How can you learn more? Trying out a free
data analytics course is a great way of dipping a toe in the water to see if you
want to dive deeper. But there are several important differences between free
courses and paid programs that you should know about.


DEPTH OF DETAIL

The intention of a free course is usually to provide a high-level introduction
to see if a full program is worth forking out for. Short courses are perfect for
getting an all-around taste of the subject. Meanwhile, a full program (at least,
a good one!) will equip you with all the tools you need to pursue a data
analytics career.


COURSE LENGTH

Again, being designed as more of a ‘teaser trailer,’ free online data analytics
courses are (generally, though not always) much shorter. They usually last
anywhere from a few hours to a few days of learning time. Anything longer than
that and you’re moving into paid program territory. In this case, courses may
take anywhere from a week to several months to complete, depending on the
content’s complexity.


LEVEL OF SUPPORT

Free courses rely on self-guided learning. Meanwhile, full data analytics
programs will generally offer guided support, usually in the form of a tutor or
mentor, plus help with job seeking—for example, help writing your data analyst
resume and building your data portfolio. Some paid courses and bootcamps even
provide a job guarantee.


KNOWLEDGE LEVEL

Free data analytics courses are usually aimed at those with absolutely no
experience. This is ideal for learning the basics. Once you’re ready to upskill,
though, you’ll need to do a bit more homework! Paid programs can be more
challenging, but once you’ve completed one you’ll have all the skills (and
certifications) you need to call yourself a qualified data analyst…and that’s
not something you can get from a free course.


3. WHAT SHOULD YOU LOOK FOR IN A FREE DATA ANALYTICS COURSE?

Many paid data analytics programs tend to provide similar incentives and
benefits, as well as covering much of the same core material. That’s because
they’re competing with other similar programs.

Free data analytics courses, on the other hand, can differ much more widely.
Because they’re not competing for your cash, they can cater to learners’
different requirements. What you look for in a free online course, then, will
depend on what you’re hoping to get out of it. Here are a few things worth
thinking about:

 * Does it cover the subject matter you want to learn about? Short courses are
   sometimes focused on very specific topics. Try to find one that interests
   you.
 * Does it combine theory with practice? Hands-on activities always stick in the
   mind better than simply reading theory. Find a course with rich, engaging
   material.
 * Does it balance simplicity with useful content? While you don’t want a course
   that’s too complex for beginners, nor should it be so generic that it’s no
   use to you.
 * Does it set you up to progress? Ultimately, a short or free data analytics
   course should build your confidence to take your learning further.

Before getting started, why not find out what a typical day in the life of a
data analyst looks like?




4. THE BEST FREE DATA ANALYTICS COURSES AVAILABLE RIGHT NOW

OK, time to choose a course! We’ve selected a broad cross-section of options to
give you an idea of the various types of free data analytics courses available:

 1. CareerFoundry
 2. Datacamp
 3. OpenLearn
 4. Harvard
 5. Coursera
 6. Udemy
 7. Dataquest


1. DATA ANALYTICS SHORT COURSE (CAREERFOUNDRY)

CareerFoundry’s free, five-tutorial data analytics short course is ideal if you
want a light-touch introduction to data analytics. Sign up and you’ll get access
to five hands-on, 15-minute lessons, each focused on a separate step of the data
analytics process. The course provides a broad view of data analytics, setting
you up to explore the topic further if you choose. View the following video to
get an idea of how the short course fares. 



Unlike many of the courses on our list, there are no hidden costs, making this
an ideal, no-pressure option for complete beginners. The course covers
everything from the different types of data analytics roles to a summary of
tools and skills you’ll need to develop if you pursue a career in the field, and
you can expect to get hands-on with the basics of data analysis.

If you enjoy the short course, CareerFoundry also offers a comprehensive paid
program that will take you from beginner to job-ready data analyst, all backed
by the CareerFoundry Job Guarantee. 


2. DATA SCIENCE FOR EVERYONE (DATACAMP)

Specifically offering courses for data analytics, DataCamp is a paid course
provider. However, the first module (or ‘chapter’) of their Data Science for
Everyone course is completely free. It doesn’t get into heavy technical detail
and is perfect if you’re new to the topic.

The course defines what data science is, covering a typical data science
workflow. This includes some great interactive exercises to contextualize how
data analytics is applied to real-world problem-solving. Be warned though, once
you’ve completed the first chapter, you’ll have to subscribe to access
additional content. 


3. LEARN TO CODE FOR DATA ANALYSIS (OPENLEARN)

Provided by the UK’s Open University, the OpenLearn platform is jam-packed with
content covering everything from astronomy to cybersecurity and, of course, data
analytics. OpenLearn’s courses are renowned for being high quality and many are
also free. Once you’ve got the basics down, why not learn to code?

OpenLearn’s free, eight-week coding course, Learn to Code for Data Analysis,
provides a solid grasp of basic programming and data analytics concepts and
you’ll even be able to write simple analytical algorithms in a programming
environment. All this with interactive exercises and a free participation
certificate at the end. Bonus!

If you’d like to view more options more towards the developer route, check out
our guide to the best free coding courses.


4. ONLINE DATA SCIENCE COURSES (HARVARD UNIVERSITY)

Ever wanted to say that you studied at Harvard? Now’s your chance! Harvard
University has many data analytics courses that are free to access via EdX. Dive
deep into topics from data wrangling to linear regression and machine learning.

While these courses may be better suited to those with a bit of prior knowledge,
they cover numerous specialized topics and go into far more detail than most
free courses do.

The only downside is that many of them require a considerable time investment,
i.e. a few hours a week for several weeks, rather than a crash course in a few
hours or days. You’ll also have to pay if you want a completion certificate. But
if you simply want to expand your skills, this remains a great option.


5. INTRODUCTION TO DATA ANALYTICS, OFFERED BY IBM (COURSERA)

Primarily offering paid courses, Coursera partners with various universities,
companies, and training providers. Because the courses don’t come from a single
source, quality and depth do vary, but you can sign up for a free seven-day
trial. This is more than long enough to complete one of Coursera’s beginner
courses, such as IBM’s Introduction to Data Analytics (an estimated 13 hours).

The course covers what a data analyst does and the tools they use to perform
common tasks. And if you want something more detailed, there are thousands of
other options available, ranging from data analysis with Python to probability
and statistics. Do be aware, though, once your seven-day trial expires, you’ll
need to subscribe. So choose that free course wisely! 


6. FREE DATA SCIENCE AND DATA ANALYTICS COURSES (UDEMY)

Like Coursera, Udemy offers thousands of data analytics and data science courses
from various uploaders. As ever, with these large platforms, some courses are
free and some are not, but Udemy’s paid courses tend to be on the more
affordable end of the spectrum. While course quality can be a bit hit or miss,
you can weed out the less popular free ones by checking user ratings.

Whether you want a broad introduction, such as an introduction to data science
using Python or something more specific like how to use the KNIME data analytics
platform, then you won’t run short of free options here. Many of the courses are
just a couple of hours long, too, meaning you can upskill fast.


7. INTRODUCTORY DATA SCIENCE COURSES (DATAQUEST)

Lastly, Dataquest. Another data-specific course provider, they offer a wide
selection of hands-on data science courses. While Dataquest has a monthly
subscription model, you can access some of their content for free, including
practice problems.

Helpfully, courses are categorized by career and skill path (and by programming
language), helping you target your training. However, you will need to pay the
subscription for ad-free access or a completion certificate.

Their catalog offers training in areas like Python for data science to
introduction to SQL and databases and data structures in R. There should be
plenty to get you started.


5. WRAP-UP AND FURTHER READING

So there we have it! Seven free data analytics courses for beginners.

Whether you want to pursue a career as a data analyst or scientist, or simply
keep your skills relevant, we hope our list keeps you busy. No matter what
career path you’re on, adding data analysis to your skillset can only be a good
thing. As the labor market adapts to 21st century needs, data analytics is fast
becoming a workplace skill that nobody can do without. Don’t get left behind!

If you’ve already tried some free data analytics courses and are ready for a
full program, check out this round-up of the best data analytics courses on the
market right now. Meanwhile, to learn more about data analytics, check out the
following posts:

 * Data bootcamp vs data degree: Which is best for you?
 * What are the key skills every data analyst needs?
 * How to become a data analyst: The ultimate guide




WHAT YOU SHOULD DO NOW

 1. Get a hands-on introduction to data analytics and carry out your first
    analysis with our free, self-paced Data Analytics Short Course.

 2. Take part in one of our FREE live online data analytics events with industry
    experts, and read about Azadeh’s journey from school teacher to data
    analyst.

 3. Become a qualified data analyst in just 4-8 months—complete with a job
    guarantee.

 4. This month, we’re offering 50 partial scholarships for career changers worth
    up to $1,385 off our career-change programs To secure a spot, book your
    application call today!

This article is part of:

DATA ANALYTICS

All articles
Will Hillier

Contributor to the CareerFoundry blog

A British-born writer based in Berlin, Will has spent the last 10 years writing
about education and technology, and the intersection between the two. He has a
borderline fanatical interest in STEM, and has been published in TES, the Daily
Telegraph, SecEd magazine and more. His fiction has been short- and longlisted
for over a dozen awards.




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   March 29, 2023 - 10 minutes read
 * Data Analytics
   
   
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