Level 3 Certificate in Data Analytics
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This Level 3 Certificate in Data Analytics is designed to provide you with a deep understanding of various data analytics tools and techniques that are crucial in today’s data-driven business landscape.
Course Duration and Schedule
•Duration: 16 weeks.
•Schedule: 2.5 hour Sessions will run every weekday, Monday to Friday (9.30am-3pm). Specific session times to be confirmed.
Entry Requirements
- Level 3 courses are available to people aged 19 or over, which means you'll qualify if you were born on or before 31 August 2005.
- You must live in an area of England that is not a devolved authority (we can help you check this).
- Have the right to work in the UK.
- Meet residency requirements (we will help you check this).
What you'll be studying
Data Fundamentals
The learner will understand where common sources of data can be found, the purpose and function of data formats and their importance for analysis. They will also understand the purpose and function of data architecture and visualisation for a specific business requirement.
Google Sheets
The learner will understand visualisation tools, communication methods and the characteristics that inform the appropriate method. The learner will be able to apply visualisation techniques and communicate data and results to the appropriate audience for a specific business requirement.
Power BI
Learners will learn and use the powerful business analytics tool developed by Microsoft for a variety of purposes, from data visualisation and data integration to understanding how to collaborate and share reports and dashboards with others.
Database Management & SQL
Learners will gain a knowledge and understanding of SQL for data analysis with its various functions and abilities – learners will retrieve, manipulate, transform and filter information ready to query data for the purpose of a given task.
Microsoft Excel
The learner will be able to collect, format, blend, link and save datasets from multiple sources. They will be able to prepare data for analysis as well
as test and assess confidence in the data and its integrity for a specific business requirement. The learner will be able to apply appropriate statistical methods and filter data for analysis to support a specific business requirement.
Python
Learners will learn python’s programming language to clean and manipulate data, identifying data trends and patterns.
Career Progression
- Senior Data Analyst
- Data Scientist
- Business Intelligence Analyst
- Analytics Manager
- Chief Data Officer
- Machine Learning Engineer
Data Analyst Salary
Your learning journey: comprehensive support at every step
We’re committed to your success throughout your learning journey at Think Employment. We provide comprehensive support tailored to your unique needs and aspirations, ensuring you have the guidance and resources to thrive in your new career.
Before you begin:
finding your perfect path
Flexible study options
We understand that life can be busy. We offer part-time and full-time study options to fit your schedule and commitments.
Personalised assessment
To ensure you’re on the right track, you’ll complete a questionnaire and take maths and English assessments. This helps us understand your current skills and identify the best course for you.
One-on-one Success Coach interview
If you’re eligible, you’ll have a personal interview with one of our dedicated Success Coaches. They’ll discuss your experiences, current situation, and future goals, helping to craft a personalised Career Action Plan just for you.
Your personalised
Career Action Plan
Our Success Coaches work with you to create a roadmap for your future:
Short-term goals:
Immediate steps to kickstart your learning journey.
Medium-term goals:
Milestones to achieve during your course.
Long-term aspirations:
Actions to take to attain your ultimate career goals.
This plan is uniquely yours, designed to guide you from where you are now to where you want to be in your new career.
During your course:
ongoing support and guidance
We’re with you every step of the way:
Regular check-ins:
Benefit from mid-course and end-course reviews with your Employment Coach, ensuring you’re on track and addressing any challenges.
After your course:
launching your new career
At Think Employment, your future success is always our priority. From the start, we focus on equipping you with the skills and confidence to thrive in your next role. By completing your course, you’ll be fully prepared to apply your knowledge, embrace new opportunities, and achieve your career aspirations.
Why Choose Think Employment?
Personalised Learning Journey
Experience a tailored curriculum designed to develop practical skills, explore real-world scenarios, and encourage reflective learning—preparing you for real workplace challenges.
Flexible Online Study Options
Study anytime, anywhere, with 24/7 access to our e-learning platform. Balance learning with work or family, progressing at your pace for complete flexibility
Expert Mentorship
Receive expert guidance from experienced adult education professionals who provide personalised feedback and help you bridge the gap between theory and practice.
Comprehensive Careers Guidance
Our career advisors support you with CV writing, interview preparation, and portfolio building, helping you excel in your future job roles.
Data Anaylst Role Overview
Data Analysts are the detectives of the digital age. They collect, process, and perform statistical analyses on large datasets to discover how data can be used to answer questions and solve problems. Their work involves interpreting data, analysing results using statistical techniques and providing ongoing reports to inform decision-making across various business sectors.
Data Collection and Preparation
- Gather data from diverse sources, ensuring accuracy and relevance
- Clean and preprocess data to ensure quality and consistency
- Clean and preprocess data to ensure quality and consistency
Data Analysis and Interpretation
- Apply statistical methods to analyse complex datasets
- Use data visualisation tools to present findings clearly
- Use data visualisation tools to present findings clearly
Reporting and Communication
- Create comprehensive reports and dashboards for stakeholders
- Present findings to technical and non-technical audiences
- Collaborate with teams to implement data-driven strategies
Continuous Improvement
- Stay updated on the latest data analysis tools and techniques
- Develop and implement database strategies for optimising statistical efficiency
- Contribute to data governance and quality assurance processes
Skills and Qualities Required
Strong analytical and problem-solving skills
Ability to approach complex issues logically and systematically.
Proficiency in statistical software
Experience with tools like R, SPSS, or SAS.
Database expertise
Skilled in SQL and database management.
Data visualisation abilities
Capable of creating clear, impactful visual representations of data.
Attention to detail
Meticulous approach to ensure data accuracy and integrity.
Communication skills
Ability to explain complex findings to diverse audiences.
Curiosity and continuous learning
Passion for exploring new data analysis methods and technologies.
Take The First Step
Enrol today to build a career in data analytics, delivering exceptional support across industries.
