Programme Overview
This programme develops your professional skills across
1 accredited unit
through
34 blended sessions.
You will build a portfolio of evidence mapped to all
79 assessment criteria.
1 accredited unit
through
34 blended sessions.
You will build a portfolio of evidence mapped to all
79 assessment criteria.
1
UNITS
34
SESSIONS
79
ASSESSMENT CRITERIA
92
OTJ TASKS
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Units Covered
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Programme Structure
1
APPRENTICESHIP ORIENTATION AND EPA OVERVIEW
2
DATA LEGISLATION
3
EXCEL FUNDAMENTALS, EXCEL FORMULAS AND DATA QUALITY
4
PIVOTTABLES, CHARTS AND DASHBOARDS
5
POLICIES, PROCEDURES AND DATA ETHICS
6
PROJECT SCOPING AND CUSTOMER REQUIREMENTS
7
STRUCTURED VS UNSTRUCTURED DATA
8
DATABASE DESIGN AND DATA MODELLING
9
SQL QUERIES AND FILTERING
10
SQL JOINS, AGGREGATIONS AND COMBINING DATA
11
ORGANISATIONAL DATA ARCHITECTURE AND CLOUD DATABASES
12
SQL CONSOLIDATION AND PORTFOLIO WORKSHOP
13
DATA QUALITY AND CLASSIFICATION
14
COMBINING AND PREPARING DATA
15
POWER BI FUNDAMENTALS
16
DATA MODELLING AND DAX IN POWER BI
17
DASHBOARD DESIGN AND VISUAL STORYTELLING
18
PORTFOLIO WORKSHOP: POWER BI AND INTEGRATION EVIDENCE
19
TABLEAU FUNDAMENTALS AND VISUAL ANALYTICS
20
COMPARING VISUALISATION APPROACHES
21
USER EXPERIENCE AND DOMAIN CONTEXT
22
CUSTOMER REQUIREMENTS AND STAKEHOLDER COMMUNICATION
23
WORKING INDEPENDENTLY AND COLLABORATIVELY
24
PORTFOLIO WORKSHOP: UX AND STAKEHOLDER EVIDENCE
25
DESCRIPTIVE STATISTICS AND PROBABILITY
26
HYPOTHESIS TESTING AND EXPERIMENTATION
27
DESCRIPTIVE, PREDICTIVE AND PRESCRIPTIVE ANALYTICS
28
PYTHON AND JUPYTER NOTEBOOK FUNDAMENTALS
29
DATA VISUALISATION AND MODELLING IN PYTHON
30
PORTFOLIO WORKSHOP: STATISTICS AND PREDICTIVE ANALYTICS
31
CHALLENGES, ADAPTABILITY AND ROOT CAUSE ANALYSIS
32
PROJECT REPORT AND PRESENTATION WORKSHOP
33
MOCK PROFESSIONAL DISCUSSION AND EPA PREPARATION
34
PROGRESS REVIEW 6 AND FINAL GATEWAY READINESS (MONTH 18)
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What You Will Achieve
✓
Demonstrate competence across all KSBs
Demonstrate competence across all KSBs
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How This Programme Works
Blended Learning
Mix of tutor-led sessions and guided online learning activities
Evidence Portfolio
Submit written evidence for each criterion through topic quizzes
Assessor Feedback
Your assessor reviews every submission with individual written feedback
Accredited Outcome
Successful completion leads to your recognised qualification certificate
Build Professional Data & Analytics Skills
Develop practical skills across Excel, SQL, Power BI, Tableau, statistics,
Python, data modelling, visualisation and predictive analytics while building
a portfolio of workplace evidence throughout your apprenticeship.
Python, data modelling, visualisation and predictive analytics while building
a portfolio of workplace evidence throughout your apprenticeship.
Not Enrolled
Course Includes
- 34 -
- 65 Topics
- 92 Modules
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