Data Analysis
The module explains what Data Analysis is, what a data analyst does and what is produced. A recap of some of the other modules content is provided to give context to a data analyst’s role.
The module explains the steps to preparing the analysis along with things the data analyst will need to consider such as information security etc.
Learning Objectives:
Learn what data analysis is.
Understand what a data analyst does.
Learn what data analysis commonly produces.
Understand how data is requested and received for analysis.
Learn common data analysis techniques .
Learn how the data analysis documentation is finalised.
Who is Suitable?
No prior knowledge is required so all Data Practitioners can undertake the course.
As this is a data improvement and maintenance module the content is especially useful for data analysts and business analysts but would also be a useful for a wide spectrum of data roles; including but not exclusive to data owners, data stewards, data modellers, data architects and data lineage analysts
Videos:
- What is the difference between data and business analysis?
- What is the difference between data analysis and data quality analysis?
- Does the presentation of data differ between data analysis and data profiling?
- Why will an analyst need justification to access data?
- What is data auditing?
- What are outliers?
- Are the number of tables produced in the analysis documentation a guide or absolute?
Contents:
An Interactive Presentation
7 Videos
60+ Questions
10+ Interactive Questions
3 Final Practice Tests – 30 questions over 30 minutes
Final Examination – 60 questions over 30 minutes
Certification
4 hours of learning materials to complete
Valid for 24 months.
Only £100.00 + VAT
