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.
Key areas covered include learning to:
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 .
Bekijk nu de prijzen om erachter te komen hoeveel je kunt besparen als je tweemaal zo snel traint.
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.
1.2. Explain how data from multiple sources can be integrated to provide a unified view of
1.3. Discover how programming languages for statistical computing can be applied to data
integration activities to filter and prepare data for analysis.
1.4. Explain the nature and challenges of data volumes and types being processed through
data integration activities.
1.5. Develop appropriate testing strategies to ensure that unified data sets are correct,
complete and up to date.
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.
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 prerequiustes for this course
Weet je niet zeker of je aan de vereisten voldoet? Maak je geen zorgen. Jouw trainingsadviseur bespreekt jouw achtergrond met je om te begrijpen of deze cursus geschikt is voor je.
Wereldwijd heeft Firebrand in haar 10-jarig bestaan al 75945 studenten opgeleid! We hebben ze allemaal gevraagd onze versnelde opleidingen te evalueren. De laatste keer dat we onze resultaten analyseerden, bleek 96.75% ons te beoordelen als 'boven verwachting'
"I had planned on attending the CISMP at the Firebrand training facility but due to the current restrictions the course was changed to online. I was apprehensive on how this would pan out and pleased to say I was pleasantly surprised.
The course was very well structured and the instructor very knowledgeable and engaging. The only downside is that I have to wait to sit the exam but feel confident that I will be successful.
Well done Firebrand in such challenging times!"
NW. (30/3/2020 (Maandag) t/m 2/4/2020 (Donderdag))
"I found the CISMP course excellent as it gave me all of the relevant information and understanding condensed in a week. The trainer was a subject matter expert and excellent keeping the subject matter interesting and enjoyable. I would be happy to recommend this training."
Philip Gilmore, Northern Ireland Civil Service. (6/1/2020 (Maandag) t/m 9/1/2020 (Donderdag))
"Great facilities, food was very nice. The content provided was informative and will be majorly beneficial."
J.C,. (25/11/2019 (Maandag) t/m 28/11/2019 (Donderdag))
"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 (Maandag) t/m 31/10/2019 (Donderdag))
"Long days with a lot of learning involved, but I think the format worked."
Stephen Hughes, M&G plc. (28/10/2019 (Maandag) t/m 31/10/2019 (Donderdag))