BCS Level 4 Certificate in Data Analysis Tools

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On this 2-day accelerated BCS Level 4 Diploma designed for Apprentices, you’ll learn key skills needed to master Data Analysis Tools.

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 cover the range of concepts, approaches, tools and techniques that are applicable to Data Analysts. You will learn skills and knowledge applicable to Data Analysis Tools and the underlying principles and processes of data integration.

Læs mere...

Key areas covered include learning to:

  • Describe the purpose and outputs of data integration activities
  • Explain how data from multiple sources can be integrated to provide unified data
  • Discover programming languages and how they are used to integrate data and prepare it for analysis
  • Explain the nature and challenges of data volumes and types being processed through integration activities
  • Develop testing strategies to test unified data for a range of states
  • Demonstrate an understanding of the capabilities of statistical programming languages and proprietary tools
  • Prepare data for analysis using a series of techniques
  • Carry out data analysis

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

Se Benefits...

Det tager kun et øjeblik at se hvor billigt dit kursus er...

Her er 4 gode grunde til at du skal tage BCS Data Analysis Tools hos Firebrand:

  1. Du bliver BCS Data Analysis Tools uddannet og certificeret hurtigere. Du lærer mere på vores 6 dages accelererede kursus og får mindst 12 timers daglig uddannelse i et distraktionsfrit miljø.
  2. Dit BCS Data Analysis Tools kursus er alt-inklusiv. Du får en gennemskuelig pris, der dækker alle kursusmaterialer, eksamen, overnatning og forplejning. Du skal ikke tænke på andet end at lære.
  3. Bestå BCS Data Analysis Tools den første gang eller kom tilbage, gratis. Din instruktør er ekspert, og træner dig ud fra accelererede metoder, så du lærer hurtigere og har de bedste muligheder for at bestå eksamen første gang. Men hvis du mod forventning ikke består, er du dækket af vores Certificeringsgaranti.
  4. Tag BCS Data Analysis Tools hos en prisvindende uddannelsesleverandør. Vi har vundet adskillige udmærkelser heriblandt Microsofts "Årets Learning Partner" hele fem gange og to Børsen Gazelle priser. Firebrand er din hurtigste vej til uddannelse, og vi har sparet 70,000 deltagere for mere end en million spildte timer siden 2001.

Er du klar til kurset? Tag en GRATIS test som hjælper dig med at bedømme din nuværende viden.

1. Processes and Tools Used for Data Integration

In this topic, the apprentice will describe how data integration is achieved through the manipulation of data from different sources. They will also learn about how this data is manipulated using programming languages and how it is prepared for analysis. You'll be able to :

1.1. Describe the purpose and outputs of data integration activities.

  • Business need for analysis
  • Non-functional requirements (such as speed and time available)
  • Information structure and rules relevant to the business
  • Rationale for using and integrating data from multiple sources
  • Importance of data in a business context

1.2. Explain how data from multiple sources can be integrated to provide a unified view of

the data.

  • Reasons for using data from multiple sources
  • Importance of data source quality to improve the quality of results
  • Filtering data to ensure only relevant data is combined to underpin business
  • objectives
  • Ensure data is selected in line with current legislation
  • Data integration techniques
    • Common user interface
    • Virtual integration
    • Physical data integration (for example ETL (Extract - Transform - Load))

1.3. Discover how programming languages for statistical computing can be applied to data

integration activities to filter and prepare data for analysis.

  • Programming constructs
    • Sequence, selection and iteration
    • Modularisation, coupling and cohesion
  • Commands for manipulating data (for example, but not limited to)
    • Select and Select* statements
    • From
    • Where (such as but not limited to; AND, OR, use of Wildcards and ordering)
    • Joins (inner and outer, right, left, Full, Union and Select into)
    • Joins with duplicate values
    • Joining on multiple fields
  • Single queries
  • Multiple queries
  • Expressions
  • Functions (such as but not limited to; Avg(), Count(), Max(), Min(), Group by,
  • Round(), Cast(), Convert(), ISNULL ())
  • Querying multiple tables in different information
  • Selecting the first/last of occurrences
  • Implicit data conversion

1.4. Explain the nature and challenges of data volumes and types being processed through

data integration activities.

  • Big data sets
  • Qualitative data versus quantitative data
  • Technical requirements for managing large data set (such as, but not limited to; the
  • location of data and challenge of restrictions due to the computer architecture)
  • Data warehousing
  • Data migration
  • Master data management
  • Integration design
    • Business requirements for integration
    • Objectives and deliverable
    • Business rules
    • Support models and SLAs
  • Non-functional requirements
  • Data integration tools (such as future scalability, implementation and support costs)
  • Data synchronisation (such as data ownership, frequency of updates, format,
  • security, data quality, performance and maintenance)

1.5. Develop appropriate testing strategies to ensure that unified data sets are correct,

complete and up to date.

  • Check against business requirements
  • Test for a variety of states (such as, but not limited to; presence, completeness,
  • configuration and format, that data is valued and that data is not fragmented)
  • Business testing & technical testing
    • Technical acceptance testing (TAT)
    • User acceptance testing (UAT)
    • Performance stress tests (PST)

2. Industry Standard Tools and Methods for Data Analysis

In this topic, the apprentice will describe and use a range of tools, techniques and methods to prepare and analyse data. The successful apprentice should be able to:

2.1. Demonstrate the data manipulating, processing, cleaning and analysis capabilities of statistical programming languages and proprietary software tools capabilities and functions of statistical programming languages (such as, but not limited to; R, Python, SPSS, SAS, SQL, Microsoft Excel and VBA, Julia, Hadoop and Hive, Scala)

2.2. Demonstrate how to apply statistical programming languages in preparing data for analysis and conducting analysis projects.

  • Preparation techniques (such as, but not limited to; searching and sorting, grouping,
  • filtering, macros and modelling)
  • Data cleaning to remove a range of data issues (such as, but not limited to; errors,
  • invalid values, data that is out of range, outliers)
  • Processing and analysing:
    • Mean, Median, Mode and Range
    • Probability
    • Bias
    • Statistical significance
    • Linear Regression (simple & multiple)
    • Logistics Regression (simple & multiple)
    • Scatter plots and correlation
    • And/Or probability
    • Stem and leaf plots
    • Factorials
    • Box and whisker plots
  • Methods for presenting results (such as, but not limited to; tables, charts and
  • graphs, correctly arranged and presented using suitable language)
  • Presenting for data analysts
  • Working with people

Se 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.

Se What's Included...

Exam and Firebrand developed course materials

Det hele er inkluderet! Du får en alt-inklusiv kursuspakke, som er målrettet til dine behov. Vi tager os af enhver detalje, så det eneste du skal fokusere på er dine lærings- og certificeringsmål.

  • Transport til/fra specifikke afhentningssteder
  • Overnatninger, samtlige måltider samt adgang til forfriskninger, snacks, kaffe og the.
  • Intensiv Hands-on uddannelse med vores unikke (Lecture | Lab | Review)TM metode
  • Omfattende kursusmaterialer og labmanualer
  • Et helt igennem instruktørstyret program
  • 24 timers adgang til både undervisningslokale og instruktøren
  • Samtlige måltider samt adgang til forfriskninger, snacks, kaffe og the.
  • Certificeringsgaranti

Se Prerequisites...

There are currently no prerequiustes for this course

Er du klar til dit Firebrand Kursus?

Vi interviewer alle potentielle deltagere angående deres baggrund, uddannelser, certificeringer og personlig indstilling. Hvis du kommer igennem denne screeningsprocedure, betyder det, at du har rigtig gode chancer for at bestå.

Firebrand Training tilbyder et ambitiøst uddannelsesmiljø, som forudsætter at du dedikerer dig til kurset. Ovenstående forkundskaber er vejledende; mange deltagere med mindre erfaring, men med en anden baggrund eller færdigheder, har haft succes med accelereret uddannelse hos Firebrand Training.

Hvis du funderer på hvorvidt du opfylder de anbefalede forkundskaber, er du meget velkommen til at ringe til os på 78 79 16 53 og tale med en af vores uddannelsesrådgivere, som kan hjælpe dig.

Se Hvornår...

BCS BCS Data Analysis Tools Kursusdatoer

Starter

Slutter

Tilgængelighed

Sted

Tilmelding

26/8/2019 (Mandag)

27/8/2019 (Tirsdag)

Afsluttet

-

 

10/2/2020 (Mandag)

11/2/2020 (Tirsdag)

Begrænsede pladser

Landsdækkende

 

23/3/2020 (Mandag)

24/3/2020 (Tirsdag)

Tilgængelige pladser

Landsdækkende

 

4/5/2020 (Mandag)

5/5/2020 (Tirsdag)

Tilgængelige pladser

Landsdækkende

 

15/6/2020 (Mandag)

16/6/2020 (Tirsdag)

Tilgængelige pladser

Landsdækkende

 

Vi har uddannet over 72.589 personer i løbet af 12 år. Vi har bedt dem alle om at bedømme vores accelererede kurser. Aktuelt har 96,77% sagt, at Firebrand oversteg deres forventninger:

"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)

"I like this concept of being away of work and home, it does help a lot. The instructor is great , I like the way he drived the training sessions."
Jorge Neves. (28/10/2019 til 31/10/2019)

"Long days with a lot of learning involved, but I think the format worked."
Stephen Hughes, M&G plc. (28/10/2019 til 31/10/2019)

"Great experience throughout. The instructor is a great instructor. Highly recommended."
Lee Lewis, MOD. (19/8/2019 til 22/8/2019)

"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)

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