This course can be delivered to your organisation as part of our bespoke Corporate Training Solutions, at your own time and your own convenience. Contact us on kla@kpmg.com.mt or call us on +356 2563 6363 or on +356 9963 6363 for more information on how we can take care of your organisation’s training needs.

Course Description:

Our comprehensive Data Literacy and SQL training program welcomes participants to delve into the world of data-driven decision-making and gain the necessary skills to leverage the power of SQL effectively. In today’s data-driven business landscape, a strong foundation in data literacy is essential for making informed decisions, while practical expertise in SQL allows individuals to query data sources for self-service analytics and the automation of reporting processes.

Through hands-on exercises and projects, participants will acquire the technical proficiency needed to understand and create their own SQL queries with a view to analyse data and generate reports effectively. Participants will gain the ability to navigate datasets with confidence, clean and prepare data for analysis, and present data-driven insights in a compelling manner.

SQL is also presented within the context of the full analytics workflow, with consideration to BI integrations and an introduction to corporate data management fundamentals.

Target Audience:

The session is aimed for all professionals seeking to improve their data skills and/or seeking to automate any manually-intensive reporting process.

Learning Outcomes:

The course outline has been crafted to strike a balance between theoretical data literacy concepts and hands-on Power BI application, as follows:

Data Literacy:

• Understand data principles, analysis techniques, and effective data communication.
• Appreciate opportunties for data analytics to shape organisational success

SQL:

• Connect to Data Sources
• Transforming Data
• Analysing Data
• SQL Dialects
• Variable Declaration
• Partition/Window Functions
• Common Table Expressions (CTEs)

Venue: Kindly contact us on kla@kpmg.com.mt to indicate your preferred training method; online or in-person.

CPE Hours: This course qualifies for 8 hours of Structured CPE which can be classified as Professional Competency. A certificate of attendance will be provided at the end of the session.

Trainer:

Michele La Ferla, Senior Data Engineer, KPMG Digital Solutions

Michele is a data engineering manager at KPMG Malta. He joined the firm in 2021, bringing a diverse experience to the Data and Analytics team. Michele graduated from Middlesex University in 2016 and furthered his studies by following a Masters in Artificial Intelligence with the University of Malta, which he completed in 2023. Michele has worked on several engagements with previous companies ranging from working as a consultant in the Banking and Insurance sectors to experiencing hands-on development projects in .NET, Java and Android technologies. However, Michele’s preference has always been in the data engineering field, by gathering data from different sources; and extracting metrics which are relevant to the business from it.

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Is your employer paying for your CPE seminars? Contact us on kla@kpmg.com.mt to discuss how the employer can benefit from our offers.

Terms and conditions.