Why learn like everyone else?


The content for DATA SCIENCE INFINITY is based on input from leaders, hiring managers, and recruiters within the field.  


Focus your time learning and understanding the skills & concepts that hiring managers want.

Why struggle through interviews, and miss out on the roles you really want?


Learn what interviewers really want to see - based on experience interviewing & screening hundreds of candidates at companies including Amazon, and Sony PlayStation.

Why learn in isolation?


Get unlimited access to dedicated support & guidance on any part of your Data Science journey.


With ever-increasing volumes of data being generated and collected, companies from all industries are looking to hire Data Scientists to help them stay ahead of the competition.


It is widely known that Data Science was labelled "The Sexiest Job of the 21st Century" and that the salaries in the field are among some of the highest.


Salary insights company Payscale calculated that the median salary for a Data Scientist in the US is $96k.


As a result, the market has been flooded with aspiring Data Scientists - but due to the increased competition, many are struggling to land any role, let alone their dream role.


I've interviewed hundreds of Data Scientists at companies including Amazon & Sony PlayStation and I've seen countless candidates come up short. I want to show you what you need to know to move ahead of the competition and get the role you want.




"Whether you're at the very beginning of your journey, you've already started learning, or you're looking to transition from another field - DATA SCIENCE I N F I N I T Y will take you ahead of the pack, ensuring you can land a great role in this exciting field and make a tangible impact when you do!"



Learn the right content

DATA SCIENCE I N F I N I T Y will provide you unlimited access to everything you need to get ahead of the competition, and land a great role in this exciting industry.

The foundational content is based on expert experience within leading Data Science organisations, as well as input from hundreds of Data Science leaders and recruiters within the field.


The programme ensures you grasp the core, foundational skills first, paving the way for infinite future development.


No hiring manager is going to pay you just to be good at coding, or just to be good at maths, or just to know a lot of machine learning algorithms....but they will pay you, and they'll pay you well, to add tangible value to their business. Because of this, not only does the programme cover the technical skills required for success, there is also a heavy focus on the softer skill-set that will set you apart from the other candidates.

From experience interviewing hundreds of Data Scientists at companies including Amazon, and Sony - we will cover techniques and inside knowledge around how to approach and succeed in Data Science interviews.

Evolve with the programme

The course content will continue to grow and evolve based on what the student community want to learn.

Once you have the fundamentals in place, let's look to broaden out your skill-set!

There is no certificate for this programme, the learning never ends!


Dedicated support & guidance

This is what sets this programme apart.


Learning in isolation is hard... 


Trying to find the answer to an issue you're facing or get guidance on a concept you don't quite understand can be frustrating & de-motivating. 

Being part of DATA SCIENCE I N F I N I T Y means being part of a private community of equally invested peers, and direct access to dedicated guidance, support, and direction - not only regarding the programme, but to any part of your Data Science journey.

If you don't understand a concept - the support is there.

If you don't know how to approach a problem or task - the support is there.

If you want help preparing for an upcoming interview - the support is there.

If you want guidance with a Data Science task in your role - the support is there.
I am dedicated to helping you succeed!


What knowledge will you gain?

From discussions with hundreds of aspiring Data Scientists, I have found the most common frustrations are; not knowing where to start, and not knowing how to move from learning, to landing a great role

I will help you with both!

The base content has been selectively chosen to cover the key foundational skills required to ensure you can successfully progress forward in your learning and career.


All content is taught with a dedicated focus on intuition & understanding. Nothing is complex if broken down into the key parts and explained with an eye on application.


DATA SCIENCE I N F I N I T Y does not focus solely on technical skills, instead blending these with the essential soft skills that will build you into a Data Scientist focused on impact & added value.​


Extra content will be continuously added, based on the needs and wants of you, the student. This ensures that you can continue to develop and improve in the areas that excite you the most.​


DATA SCIENCE I N F I N I T Y contains in-depth guidance and support around the creation of a stand-out CV/Resume, how to approach Data Science interviews, and how to build your presence online.​

The base content for the course has been carefully curated, covering the intuition & application of the key concepts you need to know to become a great Data Scientist, including...

BONUS: coding prerequisites

If you already know SQL & Python (base, numpy, pandas, matplotlib), that's great...if not, we've got you covered with full introductory practical sections on both!


All learning is done with a focus on real world application.


Learning to code can be dry. Not here! We learn concepts then apply them in unique and interesting ways, including splitting an image into it's 3 colour components using nothing but numpy, and creating a function that can find all prime numbers between one and one million in a fraction of a second!

Foundations for success

Outlining what makes a GREAT Data Scientist.


Goal setting & ways to stay motivated in what can be an intimidating field!

Key foundations of Statistics

You'll often hear about all the maths you need to know to become a Data Scientist, but don't be scared by this...yes, you do need to know some maths, but you don't need to spend a year reading text books before you're allowed to progress. 

Quite the opposite...


Here we imagine being sportswear company Nike, as well as a head basketball coach in the NBA, and we learn the key statistical concepts you need to know for Data Science with a focus of intuition & application rather than formulas!


Intro to key Data Science tools

Let's get to know about the cloud providers, and why we would make use of their amazing infrastructure & tools!


Let's also ensure you are signed up to Github and that you understand and can undertake the key processes that Data Science teams are using today.

Let's meet ABC Grocery...

For the Machine Learning tutorials, we will be looking to solve & explore all sorts of business problems & tasks from our client ABC Grocery.


They've given us access to a sample of their data, and we'll be using this to showcase the value of Data Science & Machine Learning!

ML: Data Preparation & Cleaning

Garbage in...Garbage out...


Machine Learning models need the right data, in the right format...otherwise the results can be underwhelming & unexpected!


Let's discuss this, and create some code templates so you always have the right code available for your career in Data Science!


ML: Intuition & Application

In the course we cover the key algorithms & models required to ensure you can take on virtually any business problem.


For each algorithm, we start with a high level introduction and then we head into Python and code up a basic template for the model so you can get a feel for it.


From there, we are back to the theory - covering everything that goes on under the hood, ensuring you understand exactly what is going on, and can get the most out of it.


After that, we head back into Python and code up an advanced version - taking on our challenge from ABC Grocery!


ML: Deployment to a live website

A hot topic in the world of Data Science is the deployment of our ML models.


It isn't always neccessary, but at the very least, a Data Scientist should understand the basics.


We run through the theory around what this all means, and what needs to be considered.


From there, we will deploy one of our ML models onto a live website using Flask & Heroku!

Turning business problems into Data Science solutions

This is what separates great Data Scientists from the rest...


...in other words, a Data Science candidate that gets hired or promoted, or one that gets passed by. 


So this is important...


Here I will share my framework of 13 key questions you should get answers to prior to and during any Data Science project.

How to create a stand-out Resume

You'll get all sorts of advice on this, but let me show you the simple changes you can make to stand out from other candidates.


I've interviewed & screened hundreds of Data Science candidates at companies including Amazon & Sony. I have also asked dozens of leading recruiters in the field what it is that makes a difference here.


Let me share this knowledge with you and help you get interviews for the roles you want!

How to succeed in Data Science interviews

I've interviewed & screened hundreds of Data Science candidates, and through this process I have learned exactly what can differentiate a stand out & successful candidate from the rest.


For this programme I have also asked key Data Science leaders in the field for insight on their hiring process - from coding tests to take-home assignments (as well as their favourite interview questions)


Let me share these insights with you and support you on you way to landing the role you really want!



How to build your online presence

This is more important than you may think. Having a strong online presence will open doors for you, now, and in the future.


It can be hard making traction initially, but let me help you get started!

All this content plus dedicated support, guidance, and direction for any part of your Data Science journey


Who is behind DATA SCIENCE I N F I N I T Y ?


"Hi, I'm Andrew.


I am dedicated to helping you become a great Data Scientist, and to land an amazing role in this exciting field!"

A little bit more about me...


"I'm Andrew Jones. I've spent over 13 years in Data Science at companies including Amazon & more recently Sony PlayStation where I developed and prototyped Machine Learning based features for the PlayStation 5.


I've interviewed & screened hundreds of Data Science candidates, and through this process have learned exactly what can differentiate a stand out & successful candidate from the rest.


In 2019 I authored "The Essential A.I. & Data Science Handbook for Recruitment"​ which is available on Amazon.


Throughout my career, I've had the opportunity to mentor fellow Data Scientists; from their entry into the field, to developing their technical & non-technical skill-sets, as well as providing guidance around preparing for, and being successful with promotions and interviews.


I'd love you to be part of the DATA SCIENCE I N F I N I T Y community so I can help you move successfully into this exciting industry, and support you as you develop into an incredible Data Scientist!


I'm dedicated to ensuring that your Data Science journey is a long-lasting, fruitful, enjoyable, and positive experience.


Please do connect with me on LinkedIn, and feel free to let me know any questions you have!"


Let's do this!


If you want to accelerate your Data Science learning journey, get ahead of the competition, and land an amazing role in this exciting field - then enroll now. I can't wait to work with you!


Want more information ?


I'd love to discuss any questions you have around the programme. Please do send me an email at: [email protected] or send me a message on LinkedIn!

Course Curriculum


Please see below for the full course curriculum.

Remember, DATA SCIENCE I N F I N I T Y is not all about the content, it is also about the *dedicated* support and guidance that will ensure you move ahead of the competition and into an amazing role in this exciting field!
  Welcome!
Available in days
days after you enroll
  (BONUS PREREQUISITE) The Fundamentals of SQL for Data Science
Available in days
days after you enroll
  (BONUS PREREQUISITE) The Fundamentals of Python for Data Science: Base Python
Available in days
days after you enroll
  (BONUS PREREQUISITE) The Fundamentals of Python for Data Science: Numpy
Available in days
days after you enroll
  (BONUS PREREQUISITE) The Fundamentals of Python for Data Science: Pandas
Available in days
days after you enroll
  (BONUS PREREQUISITE) The Fundamentals of Python for Data Science: Matplotlib
Available in days
days after you enroll
  An intuitive & fun adventure through Statistics for Data Science!
Available in days
days after you enroll
  Introduction to Jupyter Notebook for Data Science
Available in days
days after you enroll
  Introduction to Github for Data Science
Available in days
days after you enroll
  Introducing ABC Grocery - our client in desperate need of Data Science expertise!
Available in days
days after you enroll
  AB Testing - Theory & Application
Available in days
days after you enroll
  Introduction to Machine Learning
Available in days
days after you enroll
  Preparing & Cleaning Data for Machine Learning
Available in days
days after you enroll
  Machine Learning for Regression Tasks
Available in days
days after you enroll
  Linear Regression
Available in days
days after you enroll
  Decision Trees for Regression (Regression Trees)
Available in days
days after you enroll
  Random Forests for Regression
Available in days
days after you enroll
  Machine Learning for Classification Tasks
Available in days
days after you enroll
  Logistic Regression
Available in days
days after you enroll
  Decision Trees for Classification (Classification Trees)
Available in days
days after you enroll
  Random Forests for Classification
Available in days
days after you enroll
  K-Nearest-Neighbours (KNN) for Classification
Available in days
days after you enroll
  Advanced applications of scikit-learn
Available in days
days after you enroll
  Unsupervised Learning: K-Means Clustering
Available in days
days after you enroll
  Unsupervised Learning: Principal Component Analysis (PCA)
Available in days
days after you enroll
  Unsupervised Learning: Association Rule Learning
Available in days
days after you enroll
  Causal Impact Analysis
Available in days
days after you enroll
  Machine Learning Model Deployment
Available in days
days after you enroll
  Set yourself apart: The art of turning business problems into Data Science solutions
Available in days
days after you enroll
  From Learning to Earning: A Framework for Success!
Available in days
days after you enroll
  Other Resources
Available in days
days after you enroll