Heat up your career with our
291 Students enrolled
Virtual Classroom
Start learning immediately
Select your date
Price Match
Guarantee
3 months instalments of: £831.67
6 months instalments of: £415.83
9 months instalments of: £277.22
12 months instalments of: £207.92
Are you looking to start or switch to a career in data analysis? Our Data Analyst Level 3 Career Academy with Work Experience is designed to get you on-the-job data skills development, real-world exposure, and employability support.
Across four months, you'll gain hands-on training through weekend sessions, interactive workshops, and personalised coaching, backed by employer-supported learning. You'll also complete 4 to 16 weeks of remote work experience with our partner companies, where 1 in 4 students receive a job offer. We'll also help you stand out with expert CV writing, LinkedIn profile optimisation, and cover letter support.
You'll earn two recognised certifications:
Microsoft Certified: Power BI Data Analyst Associate
e-Careers Data Analysis Specialist Level 3
This Data Technician Level 3 course is perfect for:
Beginners in data analysis looking for hands-on training and confidence-building.
Career changers interested in entering the tech industry with job-ready skills.
University graduates seeking work experience and industry certification.
Anyone seeking a professional qualification in data analysis.
Tech enthusiasts wanting to upskill in data analysis techniques.
Professionals keen to enhance their IT skills development.
Job seekers who want real experience and a more credible CV.
Professionals looking to retrain and lead workplace change through data analysis and management.
Students enrolled:
291 students
Study method:
Live online sessions delivered via virtual classroom.
Flexibility:
Study anywhere from your computer, device or phone.
Additional support:
Tutor support when you need it, Q&A sessions, and assignment prep where applicable.
Success rates:
Exceptional pass rate
Course access:
4-month programme
Intake dates:
Our next course start dates will be on 9th of August
Work Experience:
4-16 weeks of guaranteed remote work experience
Employability:
CV and LinkedIn writing and interview success training included
Building the next generation of Data Analysts to transform business insights into powerful decisions.
Module 1: Foundations of Data in Business
You'll explore how data supports business decisions, how raw data is transformed into insights, and the importance of ethics and compliance in data handling.
Module 2: Essential data handling with Excel
You’ll learn how to use Excel to organise business data, apply essential functions, clean and prepare datasets, and create clear visual reports for analysis.
Module 3: Advanced data analysis in Excel
You’ll discover how to summarise data using PivotTables, create advanced visualisations, and boost your efficiency and productivity in Excel.
Module 4: Database fundamentals and SQL for business
You’ll get to grips with how databases work, learn to use SQL for business insights, and understand the basics of structuring data effectively.
Module 5: Advanced SQL for real-world applications
You’ll develop advanced SQL skills by learning to aggregate and summarise data, link tables, use window functions and CASE statements, and optimise queries for better performance.
Module 6: Data exploration and visualisation in Python
You’ll build a solid foundation in Python, covering programming essentials and OOP basics, then learn to manipulate, explore, and visualise data using Pandas, Matplotlib, and Seaborn, finishing with data wrangling and an applied mini-project.
Module 7: Business intelligence with Power BI and Tableau
You’ll learn to create dynamic insights using Power BI, explore its advanced features, get introduced to Tableau as an alternative, and build interactive visuals to support data-driven decisions.
Module 8: Capstone project – Real-world data challenge
You’ll apply everything you’ve learned in a real-world data project, showcasing your skills through clear data storytelling, engaging presentations, and effective stakeholder communication.
The course runs over a structured 4-month period, ensuring you receive a comprehensive learning programme.
You'll attend:
8 days of live virtual weekend training (over 4 weekends).
Mandatory online coaching and workshops on Mondays and Wednesdays from 7 PM to 9 PM.
4 to 16 weeks of remote work experience, part-time or full-time, with our partner companies
Optional Friday drop-in sessions from 7 PM to 9 PM for extra support and clarification.
Interview skills training and professional CV, LinkedIn bio, and cover letter creation
Combining our weekend classes, evening sessions, and work experience ensures you can gain valuable practical data technician skills. This comprehensive course teaches you the tools to apply your new knowledge in real-world settings, while preparing you for roles requiring data entry and processing, data analysis techniques, and data and systems management.
Microsoft Certified: Power BI Data Analyst Associate exam
Exam Format: Computer-based, multiple-choice, and multiple-response questions.
Number of Questions: 40–60 questions.
Duration: 100 minutes.
Pass Mark: 70% (700 out of 1000 marks)
Material Allowed: Closed book; no materials permitted during the exam.
Proctored Exam: The exam is monitored to ensure a fair testing environment.
Retake Policy: Retakes are allowed after 24 hours of the first attempt; further retakes may vary. For full details, visit the exam retake policy.
To learn more about exam duration and experience, visit exam duration and exam experience.
0% Interest Finance Options: Enjoy flexible payment plans that let you spread the cost over time with no interest, making it easier to invest in your career without the upfront pressure.
Competitive Pricing with Price-Match Guarantee: Our courses are priced reasonably, and with our price-match promise, you can be confident you're getting the best value available.
No hidden fees – The price you see is the total you pay, with VAT already included.
No prior experience in data analysis is required for this course, making it ideal for beginners and those eager to start their journey in data and analytics. The Data Analysis Specialist Level 3 course is designed as a strong entry-level pathway into data analysis, equipping you with essential skills, knowledge, and certifications.
Trusted by global brands
Need help with your Data Analysis courses?
Our Data Analysis Level 3 Career Academy programme runs for four months and includes live weekend classes, weekly coaching, and drop-in Q&A sessions. You’ll also complete a remote work placement lasting between 4 and 16 weeks. This structure ensures you gain theoretical and practical data technician skills alongside industry support.
A Data Technician level 3 prepares, organises, and reports on digital data using tools like Excel, Power BI, and SQL. The role blends data entry and processing with basic analysis to support business decisions. It's often a stepping stone to becoming a level 3 data analyst.
In the UK, entry-level Data Technician level 3 roles typically pay between £23,000 and £28,000 annually. As your data processing and reporting expertise grows, you can move into higher-paid positions. Many progress to become full Data Analyst level 3 professionals with additional experience and certifications.
Our Data Analysis Specialist Level 3 course offers flexible, interest-free payment plans. Costs vary depending on funding and offers, so it’s best to contact us directly for details. Our goal is to make digital data management skills training accessible for everyone.
A Data Technician handles data and systems management, cleaning data, running basic analyses, and creating reports. They use Excel, SQL, and Power BI tools to support business functions. Their role is essential in supporting workplace digital transformation.
Anyone with curiosity, attention to detail, and the right training can become a data analyst. This course teaches you to use statistical tools and develop strong data analysis and management techniques. Whether you're starting fresh or switching careers, you'll build both technical know-how and statistical software training to qualify for entry-level roles.