Data Analyst Diploma

Is This for You?

This training is ideal for those who are new to data analysis and also appropriate for those who may already be working in tech or data science and would like to specialise and become proficient with the tools and techniques of data analysis.

Award and Associated Qualifications

cpd accredited training

Awarded 200 CPD points upon successful completion

About This Diploma

Today’s world is driven by data. More than ever, companies are striving to understand how to improve their operations by dissecting the data they collect to understand clients’ needs and industry trends.

As a Data Analyst, you could find yourself working within a wide range of organisations across a variety of sectors, but the common denominator is the need to glean insights from data. Data comes in a variety of forms and is stored in a variety of database management systems. And your first and foremost goal is to gather insights from the data. Often, you will be dealing with unstructured data stored in different types of data management systems. To achieve meaningful analytical results, several skills must be mastered.

In this diploma, you’ll gain practical analytical skills as you work through the courses. Not only will you find out more about how data is created and managed, but you’ll also look at the fundamentals of research methods and statistical analysis. You will also develop a strong foundation with the most powerful programming languages available for data manipulation, cleaning, and analysis.

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Aims and Objectives

With this diploma, you’ll acquire a solid foundation of knowledge and skill to become a junior Data Analyst. You’ll work with Python and R, two programming languages widely used in the field of data analysis. And you’ll develop valuable skills with SQL, used for querying databases, and Tableau, which is widely used for data visualisation.

Courses Included

Pre-Requisites

Successful candidates will be proficient with Microsoft Excel and have a solid background in mathematics (e.g., algebra) and strong critical-thinking and problem-solving skills. Previous exposure to coding is a pre-requisite.

Finance Options

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.

Career Path

There are many options available in this field. You could become a data science professional, pursuing jobs such as data analyst or database developer; or you could go into an analytics-related role, such as business analyst or data-driven manager. The opportunities are countless!

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