Our easy to follow Data Analyst career programme is designed for those at all skill levels. We provide you with 7 training modules, alongside real-world data projects, 3 official certifications and our job guarantee on completion. Whether you’re new to data analysis or a seasoned professional looking to boost your skills, this career programme will boost your skills!
Data Analyst
Start your Data Analyst career and earn an average salary of £58,000 per year
7 Training Modules
Live instructor-led classes
3 Certifications
Microsoft certifications
Job Guarantee
Or 100% money-back refund
Real Projects
Hands-on data analysis work
In this course, you’ll learn to prepare, visualize, and analyse data through practical exercises. Master essential skills like using PivotTables, V-Lookups, and Excel formulas to ready your data for analysis, and then create professional visualisations and dashboards.
Advance further by exploring powerful features such as the What-if tool for sensitivity and scenario analysis, and dive into predictive analysis with Excel’s forecasting capabilities – equipping you with the skills to perform real-world data analysis using Excel.
With no prior SQL skills required, this course will guide you through the essentials of working with data. You’ll start by learning how to create basic SQL queries, before moving on to grouping and aggregating data to produce meaningful summary statistics. You’ll also explore how to join tables, apply filters, and work with sub-queries to uncover deeper insights.
As your skills progress, you’ll learn to develop functions that allow you to explore and manipulate data more effectively. Finally, the course will show you how to present your findings in a clear and impactful way to stakeholders.
Python is one of the most widely used programming languages globally and key for Data Analyst. This course requires no prior coding experience; you’ll start from the basics and learn how to import, clean, manipulate, and visualise data—crucial skills for any aspiring data professional or researcher.
Your training will include interactive exercises, giving you hands-on experience with popular Python libraries such as pandas, NumPy, and Seaborn. You’ll discover why Python is a top choice for data analysis and work with real-world datasets to enhance your data manipulation and exploratory data analysis abilities.
As you progress, you’ll delve into topics like data manipulation, joining data, and key statistical skills such as hypothesis testing.
Discover how to excel in data analysis with Tableau, one of the most popular business intelligence tools in the world. You’ll begin with the basics, learning how to analyse data and create dashboards, then apply your new Tableau skills through practical exercises and case studies.
You’ll master connecting to data sources, creating compelling visualisations, and utilising Tableau’s features to your advantage. The course also covers advanced calculations and statistical techniques.
This course explores the diverse methods and best practices for modelling, visualising, and analysing data with Power BI, aligning with both business and technical requirements. It covers how to access and process data from a variety of sources, including relational and non-relational databases.
Additionally, the course addresses managing and deploying reports and dashboards for sharing and distributing content.
Learn the core concepts of data and how they are managed in the cloud. The course covers different types of data (structured, unstructured, and semi-structured), database concepts, and key services within Microsoft Azure for relational and non-relational data.
Students also explore data storage options, analytics workloads, and basics of data security and compliance in Azure.
In this course you’ll learn skills that validate a foundational understanding of artificial intelligence (AI) and machine learning (ML) concepts, particularly in the context of Microsoft Azure.
It covers key AI topics such as machine learning, computer vision, natural language processing (NLP), and conversational AI, along with responsible AI principles.
Introduction to Excel
In this course, you’ll learn to prepare, visualize, and analyse data through practical exercises. Master essential skills like using PivotTables, V-Lookups, and Excel formulas to ready your data for analysis, and then create professional visualisations and dashboards.
Advance further by exploring powerful features such as the What-if tool for sensitivity and scenario analysis, and dive into predictive analysis with Excel’s forecasting capabilities – equipping you with the skills to perform real-world data analysis using Excel.
Associate Data Analyst in SQL
With no prior SQL skills required, this course will guide you through the essentials of working with data. You’ll start by learning how to create basic SQL queries, before moving on to grouping and aggregating data to produce meaningful summary statistics. You’ll also explore how to join tables, apply filters, and work with sub-queries to uncover deeper insights.
As your skills progress, you’ll learn to develop functions that allow you to explore and manipulate data more effectively. Finally, the course will show you how to present your findings in a clear and impactful way to stakeholders.
Associate Data Analyst in Python
Python is one of the most widely used programming languages globally and key for Data Analyst. This course requires no prior coding experience; you’ll start from the basics and learn how to import, clean, manipulate, and visualise data—crucial skills for any aspiring data professional or researcher.
Your training will include interactive exercises, giving you hands-on experience with popular Python libraries such as pandas, NumPy, and Seaborn. You’ll discover why Python is a top choice for data analysis and work with real-world datasets to enhance your data manipulation and exploratory data analysis abilities.
As you progress, you’ll delve into topics like data manipulation, joining data, and key statistical skills such as hypothesis testing.
Data Analyst in Tableau
Discover how to excel in data analysis with Tableau, one of the most popular business intelligence tools in the world. You’ll begin with the basics, learning how to analyse data and create dashboards, then apply your new Tableau skills through practical exercises and case studies.
You’ll master connecting to data sources, creating compelling visualisations, and utilising Tableau’s features to your advantage. The course also covers advanced calculations and statistical techniques.
PL-300: Microsoft Power BI Data Analyst
This course explores the diverse methods and best practices for modelling, visualising, and analysing data with Power BI, aligning with both business and technical requirements. It covers how to access and process data from a variety of sources, including relational and non-relational databases.
Additionally, the course addresses managing and deploying reports and dashboards for sharing and distributing content.
Microsoft Azure Data Fundamentals
Learn the core concepts of data and how they are managed in the cloud. The course covers different types of data (structured, unstructured, and semi-structured), database concepts, and key services within Microsoft Azure for relational and non-relational data.
Students also explore data storage options, analytics workloads, and basics of data security and compliance in Azure.
AI-900: Microsoft Azure AI Fundamentals
In this course you’ll learn skills that validate a foundational understanding of artificial intelligence (AI) and machine learning (ML) concepts, particularly in the context of Microsoft Azure.
It covers key AI topics such as machine learning, computer vision, natural language processing (NLP), and conversational AI, along with responsible AI principles.
Job Guarantee Included
Get hired or receive 100% of your course fees refunded. We're committed to your success.
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Your Roadmap to a Rewarding Data Career
The Steps to Data Analyst Success
Follow our proven 7-step pathway to become a certified Data Analyst.
Introduction to Excel
You’re at the start of your studies:
- Start studying your Introduction to Excel training module in the Datacamp portal
- You’ll be invited to join our 4 week ‘Intro to Excel’ boot camp which is hosted on a Monday at 7:30pm
- Complete the assigned Excel project work
SQL Training Module
SQL training module:
- Study the SQL training module in your Datacamp portal
- You’ll join our SQL boot camp which is hosted every Tuesday and Thursday for 4 weeks at 7:30pm
- Complete the assigned SQL project work
Python & Tableau
Gaining further data analytic skills, by studying the following modules in this order:
- Associate Data Analyst in Python
- We will invite you to our Python boot camp which is hosted over 8 sessions for 1 month on a Monday and Wednesday at 7:30pm
- Data Analyst in Tableau
- Complete all the relevant assignments and projects
Microsoft Power BI Certification
You’re on Step Four which is your Microsoft Power BI Data Analyst module and it’s time to get certified and here’s how:
- Study the Microsoft Power BI Data Analyst training module in the Datacamp portal
- Exam prep to make sure you’re ready
- Sit and pass your first of 3 exams!
Azure Data Fundamentals Certification
It’s time to get your second certification and here’s how:
- Study the Microsoft Azure Data Fundamentals portal.
- Complete your Microsoft Azure Data Fundamentals practical work.
- Exam prep with one of our team to get you exam ready.
- Pass your Microsoft Azure Data Fundamentals exam!
Azure AI Fundamentals Certification
Here’s how you’re going to obtain your final certification:
- Study the Microsoft AI Fundamentals training module.
- Exam prep with one of our team to get you exam ready.
- Pass your Microsoft AI Fundamentals.
- You’ve now completed your training!
Secure Employment
Your final step. It’s time to secure employment:
- Send your CV to our recruitment team.
- CV review and feedback call for you to implement changes.
- Another call with our recruitment team to discuss your career goals and how we will target our network of partners.
- We then send your CV to our network of partners.
- Once an interview is arranged, we provide interview preparation with our Lead Recruiter.
- Attend your interview and ace it!
- Start working in the industry!
*We guarantee we’ll find you a job in the industry within 6-months from this date, or we’ll refund your course fee
Read MoreYour Future in Data Analytics
Career Paths & Salary Projections
Junior Data Analyst
£28,000
Data Scientist
£30,000
Business Analyst
£60,000
Senior Data Analyst
£77,000
