Start Date
Flexible
Study Type
Online, Hybrid or In-centre
Duration
40 Hours
Training Type
Course
Earn Job-Ready skills with a Course from pitman training
R programming is the preferred language for statisticians, researchers, and data scientists across academia and industry. This course develops your coding skills alongside statistical thinking, covering everything from basic data manipulation to advanced regression analysis and probability distributions.
Starting with R fundamentals, including vectors, matrices, and data frames, you’ll progress to sophisticated data transformation, filtering, and joining techniques. The curriculum then advances to statistical modelling, where you’ll learn to interpret tests, work with probability distributions, and perform regression analysis that generates actionable insights from complex datasets.
Organisations seeking data-driven growth actively recruit professionals with R expertise for research, business intelligence, and predictive analytics roles. Your programming skills will position you for positions ranging from junior data analyst to statistical consultant, where your ability to extract meaningful insights from raw data becomes increasingly valuable in evidence-based decision making.
is this right for you?
The specialised course suits several situations:
- Data analysts wanting to expand their programming toolkit beyond Excel and SQL
- Those facing redundancy who need marketable skills
- Excel masters ready to transition to more advanced statistical programming
- Career changers with mathematical backgrounds entering the data analytics field
- CV builders seeking to add in-demand technical qualifications
- Busy individuals requiring flexible study options with personal support
award & associatedQualifications
Upon successful completion, you'll earn 40 CPD points, a professional credential that validates your skills to employers and demonstrates your commitment to ongoing learning.
The aim of the course is for you to develop a strong foundation in the R programming language that you can put to effective use in the field of data analysis.
Strong critical-thinking and problem-solving skills, a strong background in mathematics (e.g., advanced algebra), and some experience with coding.
Wherever possible our training is tailored to your needs. The cost of our training programmes depend on the course(s) you choose and varies according to duration and breadth. Rest assured we have a number of payment options available to ensure the cost of training is affordable and can be worked alongside your other financial commitments. Common ways people fund their training include: –
Self-Funded:
- Flexible payment plans to help you spread the cost* available at many of our centres;
- You could opt to pay upfront.
Company Funded:
Requesting funding from your employers needn’t be a daunting task. Many employers support and encourage their employees with their professional development and consider it a worthwhile investment to fund any training required.
What we can help with:
- Providing a comprehensive training programme outlining learning outcomes
- Tailored personnel letters
- Communication with finance departments to arrange payment options (upfront or payment plan*).
Funding & Grants:
There may be the opportunity to apply for funded grants that can help towards the cost of training. These include the Skills Development Scotland ITAs and the ReAct programme in Wales. All schemes will have different terms and conditions that will need to be met in order to qualify for a grant and these are managed by each individual centre.
We’d recommend you speak to a Course Advisor in your local centre to find out whether they are registered to offer any such schemes and discuss your requirements further.
* Terms and Conditions apply. Speak to a Course Advisor for full information on the options available to you.
To become an effective data analyst, you’ll need several programming languages in your toolkit. R is among the most sought-after skills among data analysts.
Your career Breakthrough Starts Here
Interested in a future-proof career with high earning potential? Data science consistently ranks among the fastest-growing professions, with R programming skills particularly valued in research, finance, and technology sectors. Companies across industries seek professionals who can extract insights from complex data, creating lucrative opportunities for those with this expertise.
Discover how 40 hours of flexible training can transform your professional trajectory.
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Maximise your potential with practical skills that employers are actively seeking. Select your location below to find the centre closest to you and learn more about our R programming and statistical analysis course.