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!

Outlining what makes a GREAT Data Scientist.

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

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!

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.

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!

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!

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!

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!

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.

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!

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!

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!