Data Science Experience Accelerator

Land a job as a Data Scientist.

The only training programme to recreate the experience of working in a leading data science team & then place you in a job.

Data Science Experience Accelerator

The road to becoming a data scientist is hard!

How do you get the right skills & experience employers are looking for and fast?

There are many training options but...

Which ones give you the experience & then place you in a job?
Which ones get you there in 2 months?
Which ones are affordable?

The Experience Accelerator gives data professionals a fast-tracked pathway to securing their next career jump as a data scientist

Balancing technical skills with hand-on experience
Technical Skills

Python Python

SQL SQL

Pandas Pandas

Machine Learning Machine Learning

Power BI Power BI

Real-World, Hands-on Experience
Business Acumen Machine Learning Models Cross Functional Collaboration Stakeholder Management Mentoring
Professional career support
CV & LINKEDIN BUILDING INTERVIEW PRACTICE PORTFOLIO CREATION Data Community

We remove the financial barriers to high quality training

Pay a £600 refundable deposit and then...

Get a job with an iO-Sphere hiring partner

Pay £0

Get a job with an employer outside of our network

Pay £4,200 (in instalments)

No job offer over £40k after 6 months?

Pay £0

If you are an international student or currently on a temporary visa, please see here for more information on funding and fees.

Employers that trust iO-Sphere talent

Created & delivered by experienced data professionals.

James Cotton

James Cotton

Katy Goldwater

Katy Goldwater

Charlotte Richards

Charlotte Richards

Eben Uys

Eben Uys

Steph Wright

Steph Wright

Izzy Weber

Izzy Weber

Employers who trust our talent

Become a data scientist.

Apply Now!

The 10 week data & analytics Experience Accelerator

Module
Acquire (Online & Part Time)
Week
01
02
03
04
05
06
Focus
Python, Github, Regression (statsmodels), Supervised Learning (scikit-learn), Unsupervised Learning, Feature Engineering, Time Series & Forecasting, Intro ML Ops
Hrs/Week
14
14
14
14
14
14
Apply (In person)
07
08
09
010
011
012
Create Value
Be Effective
Develop Stories
Exert Influence
40
40
40
40

Are you an employer looking to hire data talent or upskill your team?

Get In Touch

We are looking for people with:

  • 1-2+ years of experience working with data
  • Proficient skills in SQL and ideally R or Python, strong in Excel and a visualisation platform (Power BI, etc)
  • The ability to commit to evenings and weekends for the first 6 weeks and then full time for the second 4 weeks

Key dates for the next cohort

Start date: October 9th 2023
Acquire (Weeks 1-6): October 9th - November 17th (Part Time)
Apply (Weeks 7-10): November 20th - December 15th (Full Time)

Here what our Trainees are saying

Mehrnaz Zarafshar

"Amazing coaches, amazing teammates. If you are thinking about starting your journey in data or expanding your current data knowledge, then iO Sphere is the one and only option! This is an honest recommendation of a data girl who went from zero to confident in 10 weeks!"

Mehrnaz Zarafshar
Data Analyst at iO-Sphere
Arwa Gangardiwala

"I am here today to prove the iO Sphere model works. I’ve not only learned the technical skills needed in data analytics, such as Excel, SQL and Power Bi, but I’ve also applied these skills to real life business problems. Most importantly, I now have the confidence and experience to interview as a data analyst."

Arwa Gangardiwala
Data Analyst at iO-Sphere
Cameron Phillips

"I can confidently say that this program has had a profound impact on my professional development - far surpassing everything I learnt in my master’s of data science and analytics - and I highly recommend it to anyone seeking to transition into the world of data."

Cameron Phillips
Data Analyst at iO-Sphere
Nazmie Rahman

"I can't believe the phenomenal amount of skills and experience I have gained in this period of time and I'm super excited to take it further! I recommend this programme to anyone who wants to get into the Data field."

Nazmie Rahman
Data Analyst at iO-Sphere