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

Course Accredited CPD Center

Awarded 200 CPD points upon successful completion

Courses Start Date
Start Date
Flexible
Courses Study Type
Study Type
In centre, online, or a combination
Courses Training Type
Training Type
Diploma
Course Duration
Duration
200 hours

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

Business Management Courses

Data Research and Statistical Techniques

In this course, we’ll cover the fundamental research methodology and modelling concepts that are key to performing robust data analytics, visualisation, and data interpretation.

Business Management Courses

Data Visualisation with Tableau

In this course, you’ll learn the power of storytelling through the visualisation of your data, and you’ll develop your skills in creating insightful visuals with…

Microsoft Office

Excel Expert

In this course, you will learn advanced-level features of Microsoft Excel, such as macros, PivotTables, PivotCharts, and data analysis tools to help you make data-driven…

Business Management Courses

Fundamentals of AI and Machine Learning

In this course, we’ll introduce you to essential concepts of artificial intelligence and machine learning –– technologies that are increasingly relevant in today’s sophisticated workplaces.

Business Management Courses

Project Management for Data Analysts

In this course, you’ll learn the concepts and tools most commonly used for project management in data science.

IT Courses (incl. A+)

Python for Data Analysts

In this course, you’ll learn to code with Python. Python is a general-purpose programming language used for a variety of purposes, including web, software, and…

Business Management Courses

R Programming and Statistical Analysis

In this course, you’ll learn the fundamental tools and packages to manipulate, organise, analyse, and visualise data using the R programming language in the RStudio…

Business Management Courses

SQL for Data Analysts

In this course, you’ll learn the essentials of Structured Query Language (SQL), a programming language used to extract and organise data stored in relational databases.

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 plus.

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*).

* 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!

What’s the Difference?

We offer a range of training packages in a range of subject areas and can offer blended learning opportunities to best meet your needs.

Pitman Training Type Course

Our courses are practical in nature and focus on a single subject and can last anywhere from a few hours to a few days.

Pitman Training Type Diplomas

Diplomas are designed to give you a complete skillset mapped to a specific career path and contain a number of core and elective courses.

Flexible Training That Works for You

Looking for prices?

Request more details or call the team on 1800 532632.