BCS Level 4 Certificate in Data Analysis Concepts

- Slechts 4 dagen

On this 4-day accelerated BCS Level 4 Diploma designed for Apprentices, you’ll learn key skills needed to master Data Analysis Concepts.

You’ll be immersed in the curriculum, through our unique Lecture | Lab | Review technique, which allows you learn and retain information faster than traditional courses.

On this course, you’ll explore different types of data; understanding the data life-cycle and learning the fundamentals of data structures. Our expert instructors will take you through the steps of carrying out routine data analysis task and database system design. You’ll also grasp:

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  • The importance of clearly defining customer requirements for data analysis
  • Quality issues that arise with data and how to avoid and/or resolve these
  • The organisation’s data architecture
  • The range of data protection and legal issues
  • The importance of the domain context for data analytics

During the course you’ll sit BCS Level 4 Certificate in Data Analysis Concepts Exam. Don’t pass the first time? Don’t worry – you’ll be covered by our Certification Guarantee.

Zie Benefits...

Bekijk nu de prijzen om erachter te komen hoeveel je kunt besparen als je tweemaal zo snel traint.

Zeven redenen waarom jij voor jouw BCS Data Analysis Concepts cursus voor Firebrand kiest:

  1. Jij zal in slechts 4 dagen BCS Data Analysis Concepts gecertificeerd zijn. Doordat onze cursussen residentieel zijn kunnen wij langere lesdagen aanbieden en zal je tijdens je verblijf volledig gefocust zijn op jouw cursus
  2. Onze BCS Data Analysis Concepts cursus is all-inclusive. Cursusmaterialen, examens, accommodatie en maaltijden zijn inbegrepen.
  3. Slaag de eerste keer voor BCS Data Analysis Concepts of train gratis opnieuw.Op basis van onze certificeringsgarantie kun je voor het geval je de eerste keer niet slaagt binnen een jaar terugkomen en opnieuw trainen. Je betaalt dan alleen voor accommodatie en examens. De andere kosten zijn inbegrepen.
  4. Je zal meer over BCS Data Analysis Concepts leren. Waar opleidingen elders doorgaans van 9:00 tot 17:00 duren, kan je bij Firebrand Training rekenen op 12 uur training per dag!
  5. Je zal BCS Data Analysis Concepts sneller beheersen. Doordat onze cursussen residentieel zijn word je in korte tijd ondergedompeld in de theorie. Hierdoor zal je volledig gefocust zijn op de cursus en zal je sneller de theorie en praktijk beheersen.
  6. Je zal voor BCS Data Analysis Concepts studeren bij de beste training provider. Firebrand heeft het Q-For kwaliteitlabel, waarmee onze standaarden en professionaliteit op het gebied van training erkend worden. We hebben inmiddels 72,589 professionals getraind en gecertificeerd!
  7. Je gaat meer doen dan alleen de cursusstof van BCS Data Analysis Concepts bestuderen. We maken gebruik van laboratoria, case-studies en oefentests, om ervoor te zorgen dat jij jouw nieuwe kennis direct in jouw werkomgeving kan toepassen.

Bekijk nu de prijzen om erachter te komen hoeveel je kunt besparen als je tweemaal zo snel traint.

1. Types of Data

In this topic, you'll explore the different types of data, including open and public data, administrative data, and research data. You'll learn to:

  • Describe the difference between data, information and knowledge.
  • Explain the range of different types of data.
  • Apply classification schemes for data.

2. The Data Lifecycle

In this topic area, you'll explore the data lifecycle and learn to:

  • Illustrate and describe that the data lifecycle management is a comprehensive approach to managing the flow of an information system's data and its associated metadata.
  • Explain each of the stages of a data lifecycle

3. Structured and Unstructured Data

In this topic area, you'll illustrate the differences between structured and unstructured data. You'll learn to:

  • Describe that structured data is information which can be ordered and processed by data analysis tools.
  • Recognise common sources of structured data
  • Explain that unstructured data can take various formats
  • Illustrate that, in order to maximise insight and derive useful business intelligence, organisations need to analyse both structured and unstructured data.
  • Recognise how structured and unstructured data complement each other.

4. Requirements for Data Analysis

In this topic area, you'll show the importance of clearly defining customer requirements for data. You'll learn to:

  • Recognise and demonstrate that data itself does not provide the answers to business problems.
  • Recognise and apply the key to effective data analysis is by asking the right questions which are defined as stakeholder requirements.

5. Quality Issues for Data Analysis

In this topic area, you'll develop an understanding of the quality issues that can arise with data and how to avoid and/or resolve issues experienced. You'll learn to:

  • Recognise how data quality relates different attributes.
  • Illustrate the importance of good quality data.
  • Demonstrate that minor data errors can cause major issues for data analysis.
  • Identify the common sources of errors.
  • Demonstrate that improving data quality and defining an organisational strategy for improved source data creation and storage will directly benefit the value of data analytics to improve business decision making.

6. Data Analysis Tasks

In this topic area, you'll explore the steps involved in carrying out routine data analysis tasks. You'll learn to:

  • Discover that data analysis is typically cyclic and iterative and illustrate the typical activities.

7. Compliance and Audit Considerations

In this topic area, you'll explore and gain knowledge on the range of data protection and legal issues. You'll learn to:

  • Describe the data protection and privacy issues that can occur during data analysis activities.
  • Explain the need to comply with the Data Protection Act 1998 UK.
  • Recall and define the 8 principles of the Data Protection Act.
  • Recognise the need for an organisational data policy in relation to data governance.

8. Data Structures

In this topic area, you'll explore the fundamentals of data structures and database system design, implementation and maintenance. You'll learn to:

  • Identify that data structure refers to formalised ways of identifying, accessing and manipulating data attributes by forming logical groupings.
  • Explain the concepts behind relational database structures.
  • Discuss how data warehousing and Big Data (aka. NoSQL) structures address performance issues.
  • Demonstrate why the variety of data structures requires a range of different data access and techniques.

9. Database Design, Implementation and Maintenance

In this topic area, you will explore database system design, implementation and maintenance. You'll learn to:

  • Apply data modelling techniques within database design, producing data models from different perspectives.
  • Recognise the most common forms of database
  • Demonstrate how a logical data model can be transformed into a physical database design, including de-normalisation.
  • Recognise that database maintenance is an activity designed to keep a database running smoothly and that a database can become sluggish and lose functionality otherwise.
  • Illustrate the importance of maintaining a database by backing up the data securely.

10. Data Architecture

In this topic area, you will work to understand the organisation's data architecture. You'll learn to:

Explain how an organisation's data architecture defines how data is stored, managed, used and integrated within an organisation and its database systems.

  • Explain that metadata is data that defines the data an enterprise needs, stores and uses.
  • Identify the need for a single enterprise view of data and how the canonical data model achieves this.
  • Define the nature of the Data Architecture functions.

11. The Domain Context for Data Analytics

In this topic area, you'll explore the importance of the domain context for data analytics. You'll learn to:

  • Illustrate the importance of domain knowledge to effective data analysis.
  • Demonstrate the role of Decision, Descriptive, Predictive and Prescriptive analytics

Zie Exam Track...

The format for the exam is a one-hour, closed book multiple-choice exam consisting of 40 questions. The pass mark is 26/40 (65%).

If you're taking the exam in a language that is not your native/official language, you are entitled to 25% extra time and are allowed to use your own paper language dictionary to translate during the exam.

Zie What's Included...

Exam and Firebrand developed course materials

Zie Prerequisites...

There are currently no prerequisites for this course.

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Firebrand is een meeslepende omgeving en vereist betrokkenheid. Sommige vereisten zijn slechts richtlijnen; je zult misschien je unieke ervaring, houding en vastberadenheid vinden die je in staat stelt om te slagen in je versnelde loop.

Zie Wanneer...

BCS BCS Data Analysis Concepts Cursusdata

BCS - Level 4 Certificate in Data Analysis Concepts

Start datum

Eind datum

Status

Nu boeken

25/11/2019 (Maandag)

28/11/2019 (Donderdag)

Beëindigde cursus

 

13/1/2020 (Maandag)

16/1/2020 (Donderdag)

Open

Nu boeken

Wereldwijd heeft Firebrand in haar 10-jarig bestaan al 72,589 studenten opgeleid! We hebben ze allemaal gevraagd onze versnelde opleidingen te evalueren. De laatste keer dat we onze resultaten analyseerden, bleek 96.76% ons te beoordelen als 'boven verwachting'


"Great facilities, food was very nice. The content provided was informative and will be majorly beneficial."
J.C,. (25/11/2019 t/m 28/11/2019)

"Facilities are great for learning and relaxing in-between.The tutor was supportive and available late into the evening. Any queries were answered with extra support and time given as needed. Course content was extensive and covered all aspects."
Deborah Holyoak. (22/7/2019 t/m 25/7/2019)

"Firebrand Training courses are a fantastic way to gain the level of knowledge you require to progress professionally. All the staff are very knowledgeable and happy to help. They tailor your learning needs to you as an individual meaning you will really get the most out of your learning. "
Jay Cooper, Bourne Leisure. (22/7/2019 t/m 25/7/2019)

"Great course, I gained a lot of understanding about data analysis in its own right, and how to relate it to your own company. "
joanne bowman, mitchells and butler. (22/7/2019 t/m 25/7/2019)

"Excellent facilities at Wyboston. Staff were very welcoming and helpful throughout the course. "
M.L.. (22/7/2019 t/m 25/7/2019)

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