BCS Level 4 Certificate in Data Analysis Concepts

- Bare 4 dager

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.

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Her er 8 grunner til hvorfor du skal gjennomføre ditt BCS Data Analysis Concepts hos Firebrand Training:

  1. Du blir utdannet og sertifisert på bare 4 dager. Hos oss får du din utdanning og sertifisering på rekordtid, en sertifisering du også gjennomfører der og da som en integrert del av den intensive, akselererte utdanningen.
  2. Alt er inkludert. Et engangsbeløp dekker alt kursmaterial, eksamen, kost og losji og tilbyr den mest kostnadseffektive måten å gjennomføre ditt BCS Data Analysis Concepts kurs og sertifisering på. Og dette uten noen uannonserte ytterligere kostnader.
  3. Du klarer sertifiseringen første gangen eller kan gå kurset om igjen kostnadsfritt. Det er vår garanti. Vi er sikre på at du vil klare din BCS Data Analysis Concepts sertifisering første gangen. Men skulle du mot formodning ikke gjøre det kan du innen et år komme tilbake og kun betale for eventuelle overnattinger og din eksamen. Alt annet er gratis.
  4. Du lærer deg mer.Tradisjonelle utdanningsdager varer fra kl. 09.00 til 16.00 med lange lunsj- og kaffepauser. Hos Firebrand Training får du minst 12 timers effektiv og fokusert kvalitetsutdanning hver dag sammen med din instruktør, uten private eller arbeidsrelaterte, forstyrrende momenter.
  5. Du lærer deg BCS Data Analysis Concepts raskere. Vi kombinerer de tre innlæringsmetodene (Presentasjon |Øving| Diskusjon) slik at vi gjennomfører kurset på en måte som sikrer at du lærer deg raskere og lettere.
  6. Du er i sikre hender.Vi har utdannet og sertifisert 72.589 personer, vi er partner med alle de store navn i bransjen og vi har vunnet atskillige utmerkelser, bla. a. "Årets Learning Partner 2010, 2011, 2012, 2013 og 2015” fra Microsoft Danmark og med en vekst på 1430 % siden 2009 er vi årets Gazelle prisvinner på Sjælland, Danmark.
  7. Du lærer deg ikke bare teorien. Vi har videreutviklet BCS Data Analysis Concepts kursen og tilbyr flere praktiske øvelser og sikrer på den måten, at du kan bruke dine ferdigheter for å løse daglige praktiske problemstillinger.
  8. Du lærer av de beste. Våre instruktører på BCS Data Analysis Concepts er de beste i bransjen og tilbyr en helt unik blanding av kunnskap, praktisk erfaring og pasjon for å lære bort.

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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

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.

Exam and Firebrand developed course materials

There are currently no prerequisites for this course.

BCS BCS Data Analysis Concepts Kursdatoer

BCS - Level 4 Certificate in Data Analysis Concepts

Start

Slutt

Kapasitet

Registrer deg

25/11/2019 (Mandag)

28/11/2019 (Torsdag)

Ferdig

 

13/1/2020 (Mandag)

16/1/2020 (Torsdag)

Ledige plasser

Registrer deg

Vi har lært opp 72.589 personer på 12 år. Vi ba dem om å anmelde vår akselererte opplæring. Akkurat nå har 96,76% angitt at Firebrand overgikk forventningene:

"Great facilities, food was very nice. The content provided was informative and will be majorly beneficial."
J.C,. (25/11/2019 til 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 til 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 til 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 til 25/7/2019)

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

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