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Trajectory: Qualified Data Translator in Finance

In the dynamic landscape of the finance industry, financial data has emerged as a powerful force. While data scientists with advanced degrees play a crucial role, a new position is on the rise - the Business Data Translator. These professionals possess a deep understanding of finance coupled with a strong aptitude for financial data, eliminating the need for an advanced data-related degree.

Business data translator excel in transforming complex data analytics into actionable insights and strategic plans for organizations. They closely collaborate with data scientists and analysts to ensure that analytical solutions align with business goals. These experts serve as part strategist and part project manager, focusing on key questions, defining project scopes, and ensuring that analyses lead to tangible actions.

Communication is key. They skilfully present their findings to various stakeholders, both technical and non-technical.

Embark on the trajectory of mastering data translation in finance and become a proficient Qualified Data Translator in Finance.

By the end of this training, participants will be able to:

Niveau Advanced
Leervorm Klassikale opleiding
Hybride

Bijscholingsuren Bank: 38u algemeen
Verzekeringen: 38u algemeen
Consumentenkredieten: 38u algemeen
Hypothecaire kredieten: 38u algemeen

Geregelde bijscholing

Beschikbare data

18/04/2024 - 10:00u - 12:00u - Module 1 : Introduction to Data Literacy (Webinar)

26/04/2024 - 09:00u - 17:00u - Module 2 : Advanced Data Analysis in MS Excel: Power Pivot & DAX

14/05/2024 - 09:00u - 17:00u - Module 3 : Power BI - Dag 1

15/05/2024 - 09:00u - 17:00u - Module 3 : Power BI - Dag 2

22/05/2024 - 09:00u - 17:00u - Module 4 : SQL Fundamentals - Dag 1

23/05/2024 - 09:00u - 17:00u - Module 4 : SQL Fundamentals - Dag 2

30/05/2024 - 09:00u - 17:00u - Module 5 : Python for data analyses

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Doelgroep

This training course can be followed by multiple target groups:

Vereiste voorkennis

Advanced level training: this training requires a general basic knowledge of the subject.

Programma

CONTENT

Module 1 : Introduction to Data Literacy (duration 2h live webinar)

Lecturer: Tom De Witte

Module 2 : Advanced Data Analysis in MS Excel: Power Pivot & DAX (duration 1 day 6h classroom)

Lecturer: Betsy Calcoen

Module 3 : Power BI  (duration 2 days, 6h classroom per day)

Lecturer: Betsy Calcoen

Module 4 : SQL Fundamentals (duration 2 days, 6h classroom per day)

Lecturer: Kevin Francus

Module 5 : Python for data analyses (duration 1 day 6h classroom)

Lecturer: Tom De Witte

 

PRACTICAL INFORMATION

Methodologie

You follow a ‘Classroom training’ in a group. You, the other participants and the teacher are all present in the same classroom at an agreed time. There is an opportunity for interaction and feedback, both from the participants to the teacher and vice versa. The teaching material consists as a basis of a presentation via the MyFA learning platform, supplemented with various other items (such as digital syllabus, presentation, audiovisual fragments, etc.).



Training material: 

Docenten

Betsy Calcoen
Personal development

Kevin Francus
Personal development

Tom De Witte
Personal development