How-To Analyse Data

(Data Warehousing, BI,

Big Data and Data Science)

OVERVEIW

The How-to Analyse Data Course covers all the Data Warehouse & Business Intelligence, and Big Data and Data Science aspects contained in the DMBOK V2 in detail, providing techniques for all the activities and templates for all the deliverables and, in some cases, the inputs.

It begins with understanding the Business Identity and Requirements up to Business Decision Making within the organization. Practical work using generic use cases enables the candidate to apply what is learned to their own business requirements.

Course Duration: 3 days

Course Investment: International UDS 1230 / Local ZAR 15400 (incl. VAT)

Format: Lecture, group work, exercises, case study

Classroom Materials: Workbook and templates

Delivery: CDMP® Certified Consultant

Size: 8 to 12 participants

Pre-requisite: No experience necessary

Data warehousing training, business intelligence training and data science training

The course outcomes are:

  1. Remember all details of the Data Warehousing & Business Intelligence and Big Data and Data Science knowledge areas

  2. Understand all elements of the Data Warehousing & Business Intelligence and Big Data and Data Science knowledge areas

  3. Apply knowledge area rules, concepts and activities

  4. Analyse own Data Warehousing & Business Intelligence and Big Data and Data Science practice definition

    1. Define

    2. Operationalise

    3. Assure

  5. Evaluate a Data Warehousing & Business Intelligence and Big Data and Data Science establishment

Who should attend?

  • Data professionals involved in Business Intelligence, Data Warehousing, Data Marts and Data Lakes

  • Data Engineers

  • Data Scientists

  • Anyone wishing to write the CDMP Data Warehousing & Business Intelligence Specialist exam

The DMBOK chapters examined in the Data Warehousing & Business Intelligence Specialist Exam are:

11. Data Warehousing & Business Intelligence

14. Big Data and Data Science

Data management training for your team is incredibly valuable. Take the first step in achieving deliverables as a dream team here.

For bookings (individual and/or team) and more information, please click the button to contact us!