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Data Analyst Diploma

Data Analyst Diploma

The Data Analyst Diploma is available at the Edinburgh, Glasgow, Aberdeen and Inverness Pitman Training Centres or via Online Distance Learning through our Pitman Campus.

In a world driven by data and the insights derived from it, Data Analysts have become key team members of any business or agency that aims to leverage data to drive product, strategy, and decision-making.

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.

 

Data Analysis Diploma Outline

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 data analysis 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.

Course Duration: 200 hours

Start Date: Flexible

Training Type: Diploma

Data Analyst Diploma

Data Analysis Diploma Core Courses

Excel Expert

Our Excel Expert course will provide you with the knowledge and skills to use this popular spreadsheet programme to an advanced level. You’ll learn how
to work efficiently with PivotTables and PivotCharts, automate processes with macros, create complex visualisations of your data, establish connections between various data sources, and use Excel’s data analysis tools to make data-driven decisions.

Data Research & Statistical Techniques


This course has been designed to give learners a strong foundation in data research and statistics. Data analysts are challenged to extract meaningful insights from their data. To learn various strategies toward
that goal, this course exposes you to the fundamental
research methodology and modelling concepts that are key to performing robust data analytics, visualisation, and data interpretation. This course also emphasises essential statistical methods.

Python for Data Analysts

Python is an all-purpose programming language. It’s used for a variety of applications, from web / software development, game development, to AI, machine learning, and data analysis. This course aims to tackle every corner of Python the Data Analyst must master.

SQL for Data Analysts

Structured Query Language (SQL) is a programming language used to extract and organise data stored in a relational database. This course aims to help
you develop the skills to first identify the critical characteristics of database design and management and then be able to work with relational databases.

R Programming and Statistical Analysis


R is widely recognised as a powerful programming language and environment for data manipulation, statistical computing, and graphical display. It provides a variety of tools and techniques and is easily extensible. R is open-source and a vital tool for data wrangling and analysis. R includes a robust data handling and storage facility, as well as an extensive, integrated collection of tools for data analysis and graphical display. In this course, you’ll learn the fundamentals of the R programming language using Jupyter Notebooks and RStudio, while running descriptive and inferential analysis with different types of data structure.

Data Visualisation with Tableau

This course covers best practice for visualising data. Using the right charts and graphics helps tell the story that the data has revealed and identify patterns and trends within the data. In this course, you’ll explore essential types of analysis, visualisation, and graphic tools useful for conveying meaning from your data.

Fundamentals of AI & Machine Learning

This course seeks to provide you with the essential concepts that will allow you to operate in a modern and sophisticated environment. The world of artificial intelligence (AI) includes many areas in computing, which makes it a complex field, combining computer science and robust datasets to enable problem-solving. AI leverages computers and machines to mimic the problem-solving and decision-making capabilities of the human brain.

Project Management for Data Analysts


This course aims to introduce you to the essential tools used in data-driven projects and collaborations. You’ll learn the concepts of Lean, Agile, and Scrum methodologies and their applications.

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.

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.

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 plus.

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.

Flexible Workforce Development Fund (FWDF)

Claim up to £15,000 for Training your employees. This fund provides Levy Paying Companies an opportunity to up-skill or re-skill Employees and in turn, support economic growth.

Eligibility Criteria:

  • You must be a Levy Paying Employer
  • The Company must be based or operate in Scotland, wholly or partially
  • Employees must reside in Scotland

For more information on applying for this funding, contact our Course Advisors.

A funded training opportunity is now available to those facing redundancy or those who have been made redundant from March 2020 onward.

The National Transition Training Fund aims to tackle the rise in unemployment caused by Covid-19 by offering short sharp training opportunities for people to learn in-demand skills.

If you are currently under threat of redundancy, or have been made redundant at any time from the 1st March 2020 and are aged 25 or over, you can access an industry recognised qualification to help you gain employment.

For further information on how to proceed then contact us referencing the course(s) you are interested in.

For more information on this or any of our courses complete the form

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