Level 5 Diploma in Data Visualization - CPD Certified
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Flash Sale! | 30-in-1 Bundle | 300 CPD Points | 24/7 Support | FREE PDF & a Hardcopy Certificate + SID (Worth £300+)
Summary
- CPD Accredited Digital Certificate - Free
- CPD Accredited Hardcopy Certificate - Free
- Multiple Choice Questions (MCQ)/Assignment (included in price)
- Tutor is available to students
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Overview
Certificates
CPD Accredited Digital Certificate
Digital certificate - Included
After completing the programme, you will be entitled to claim a PDF Certificate Accredited by CPD QS for Free. You will need to order each course separately.
CPD Accredited Hardcopy Certificate
Hard copy certificate - Included
After completing the programme, you will get a Hardcopy Certificate of Any One Course of Your Choice for FREE. However, if you are an international student, you will need to pay an additional £10 as a delivery charge.
Assessment details
Multiple Choice Questions (MCQ)/Assignment
Included in course price
CPD
Description
This Data Visualization Diploma enables learners to transform complex data into meaningful insights through modern tools and techniques. Covering Excel dashboards, Python, R, SQL, and cloud solutions, the curriculum equips learners with the ability to deliver powerful visual stories.
The programme explores machine learning, big data analysis, geographic mapping, and forecasting models, ensuring graduates can support businesses in making informed, data-driven decisions. Learners will also gain skills in business analysis, database management, and statistical programming.
With career-focused modules in resume development, LinkedIn branding, and interview training, graduates are well prepared to pursue rewarding roles in data science, analytics, and business intelligence.
Learning Outcomes
After completing this course, you will be able to:
- Create advanced dashboards and interactive data visualisations using Excel tools.
- Apply Python and R for statistical analysis and data visualisation.
- Manage and query databases with SQL and NoSQL frameworks.
- Use QGIS for spatial data mapping and geographic analysis.
- Integrate machine learning with data visualisation for predictive insights.
- Design business reports and performance forecasts with clear visual impact.
- Build and manage databases in Microsoft Access for business operations.
- Implement cloud-based solutions for large-scale data analysis.
- Apply business analysis techniques to support organisational decision-making.
- Present data effectively to stakeholders using storytelling methods.
Certification
Learners will receive a CPD Accredited Certificate (PDF & hardcopy) free of charge upon completion.
Who is this course for?
- Aspiring data analysts and visualisation specialists
- Professionals seeking to upgrade their analytical and technical skills
- Business professionals aiming to improve decision-making with data insights
- Graduates entering the data and analytics sector
- Learners seeking CPD-accredited qualifications in data science
Requirements
No previous qualifications required.
Career path
Graduates may pursue roles such as:
- Data Analyst (£35,000 – £55,000)
- Business Intelligence Analyst (£40,000 – £65,000)
- Data Scientist (£45,000 – £80,000)
- SQL Database Developer (£35,000 – £60,000)
- Machine Learning Engineer (£50,000 – £85,000)
- Business Analyst (£38,000 – £65,000)
- Cloud Data Specialist (£45,000 – £75,000)
- Statistical Programmer (£40,000 – £70,000)
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Legal information
This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.