Data Science Trainee

ITOL Recruit • TRAFFIC • Tyne And Wear, Newcastle Upon Tyne, United Kingdom • £30,000 - £50,000 / * • 6d ago

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts.

If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science.

We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science.

Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles.

Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners.

Current average salaries in the sector for lower-level positions and fully trained Data Experts:

Junior Data Analyst - £30,000
Data Analyst - £50,000
Business Analysts - £60,000
Data Scientist - £65,000

Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science.

Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector.

Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers.

Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks.

Step 1 - Data Administration Training

Data is extracted using various method which are normally IT driven.

We provide you with access to the following courses to ensure you are employable as a data analyst.

Microsoft excel - to expert level.
Learn SQL - the programming language used for extracting data from more complex databases.
Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.
Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.

Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam.

Step 2 - CompTIA Data+ Qualification

The first step is completing the CompTIA Data+ Qualification accredited by CompTIA.

This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data.

Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam.

The course is online and comes complete with exam simulators and revision tools.

You will have access to a tutor and a 1-hour online revision workshop prior to your exam.

This qualification sets you on course to becoming a data analyst.

Step 3 - Business Analysis Foundation

Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa.

A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS.

Study time is around 15 hours, and qualification is achieved by online exam.

Step 4 - Recruitment Support

Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience.

We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot.

Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role.

They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need.

Step 5 - CompTIA Data X Qualification

Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist.

This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately.

Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level.

Our money back guarantee

If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams.

However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months.

Check out our testimonials.

What Now?

To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front.

Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

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