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Data Analyst

Data Analysts collect and store data. They bring technical expertise to ensure the quality and accuracy of that data, then process, design and present it in ways to help people, businesses and organisations to make better decisions.

KEY FEATURES

 

  • Duration: 15-18 months
  • BCS Level 4 Certificate in Data Analysis Tools
  • BCS Level 4 Certificate in Data Analysis Concepts
  • Learners receive a greater understanding of managing, cleansing abstracting and aggregating data.
Data Analyst Apprenticeship

DATA ANALYST OVERVIEW

WHO IS IT FOR?

 

For employees who collect, organise and study data to provide business insights.

Data informs every business decision in the digital age, and analysts who can explore, interpret and present this data are in high demand.

BCS

WHAT IS COVERED?

 

  • An understanding of data protection and the law
  • How to apply analytical techniques for data visualisation and presentation
  • How to identify and assess data quality issues
  • Using industry standard tools and methods
  • Identify, collect and migrate data from internal and external systems
  • Working with organisational data architecture

PROGRAMME BENEFITS

  • Develop your skills to support successful data analysis
  • Map your skills to the BCS SFIAplus industry-standard framework
  • Eight workshops (2 days each) to provide training to pass the two exams
  • Access to Pluralsight e-learning library
  • BCS Associate membership
  • Join the professional Register for IT Technicians (RITTech)
  • Plan and track your progression. Members can use the BCS Personal Development Plan (PDP)
  • Latest industry news and access to the BCS online library

The course was really beneficial. It challenged my thinking and introduced me to new tools, concepts and techniques to improve the way I study and present data.

DATA ANALYST (LEVEL 4)

This programme consists of the following eight workshops that are designed to give your learners the knowledge required to pass the two exams.

  • Introduction to Data Analytics
  • Analytic and statistical techniques
  • Database technology and organisational architecture
  • Data quality and visualisation
  • Industry standard tools and technologies
  • BCS Tools exam preparation and mock exam
  • BCS Concepts exam preparation and mock exam
  • Portfolio and interview preparation

LEARNING JOURNEY

The timeline below shows the eight knowledge modules to support learners to understand the key components of Data Analysis. Towards the end of the programme are two targeted modules aimed to prepare learners for the exams.

Data Analyst Learning Journey

DELIVERY OPTIONS

You can choose one of three ways for your programme to be delivered:

  • Alpha Qualification – eight workshops and two exams. Each exam is designed and delivered by Alpha Development and is entirely focussed on the financial services industry
  • A bespoke business analysis training programme
  • As an apprenticeship with 100% government funding
CMI QualificationBespoke LDPApprenticeship
8 Workshops
2 ExamsOptional
End Point Assignment
Skills CoachingOptional
WebinarsOptionalOptional
E-LearningOptional
Eligibiliy Criteria
Personal Development Plan
Online Portfolio
20% Dedicated Learning Time
Mentor Review MeetingsOptional
WorkbooksOptional
Qualification Level4
Funding£15,000

68,000

BCS members and chartered IT Professionals

60 years

at the forefront of computing evolution

250,000

BCS professional certifications awarded across the industry

I wanted to learn how to address data quality issues and then use the latest tools and systems to analyse data and present back my findings to influence the decisions we are making.

KNOWLEDGE MODULES: exams

Passing the following exams will enable learners to achieve the apprenticeship.

The syllabus covers:

  • Purpose and output of data integration activities
  • Data integration
  • Application of programming languages to filter and prepare data
  • Processing data volumes and types through data integration activities
  • Testing strategies to ensure accuracy of unified data sets
  • Capabilities and functions of statistical programming tools and languages
  • Preparing data for analysis

The syllabus covers:

  • The different types of data
  • Implications for allowable use of data
  • Data classification
  • Explore the data lifecycle
  • Structure and unstructured data
  • Defining customer requirements for data
  • The requirements elicitation process
  • Interpreting different data models
  • Quality issues in data
  • Identifying and resolving data errors
  • The impact of minor data issues
  • Data creation and storage strategies
  • Routine steps in data analysis
  • Problem hypothesis and identifying measurables
  • Collecting and loading data
  • Modelling and visualising data
  • Analysing, interpreting and documenting data
  • Data protection and privacy issues
  • Data Structures, database system design, implementation and maintenance
  • Normalisation and de-normalisation
  • Impact of the data architecture
  • Domain context for data analytics

DISCOVER MORE

To discover more about how Alpha Development can support your employee development requirements, contact us by completing the form below.

Note: We work directly with businesses that want to train a group of their employees. If you are an individual, please speak to your HR or Learning and Development team about training with Alpha Development.

 

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