Vocational

Class BI22.

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Nackademin
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Language: Swedish
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About the course.

Occupational roles Occupational role 1: Business Intelligence analyst Occupational role 2: Data analyst Occupational role 3: BI consultant Occupational role 4: Business Analyst The graduate has knowledge of… - How Business Intelligence can develop an organization's various business and operational processes - How ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) are used in organizations to retrieve, refine and organize data. How statistics and data analysis can be used to analyze events, the future and risks for companies - Tools for decision support - Machine learning and how machine learning methods can be used in an organization - Laws (e.g. GDPR) and ethical aspects of data management and how both of these areas can affect a long-term business strategy - How BI solutions can be connected with IoT (Internet of Things) - SQL and relevant database management tools - The concept of Big Data and how structured versus unstructured data is handled and stored - One or more Business Intelligence-related programming languages - How visualization and presentation of data is carried out with visualization techniques and tools - Cloud solutions used in BI The graduate has the skills to… - Identify an organization's needs and design solutions using SQL - Develop and manage cloud solutions - Model databases - Collect, transform and refine data based on organization-specific needs - Select, combine, visualize and present data - Work with, create and present solutions using statistics, programming and the programming languages Python and/or R - Identify and develop KPIs for an organization - Develop organization-specific applications with a suitable current programming language - Interpret and write requirement specifications for BI projects The graduate has the competence to… - Analyze data in order to make strategic business decisions - Understand and combine data based on a specific task (e.g. from a profitability, credit risk or sustainability perspective) - Based on requirement specifications, produce a recommended solution proposal - Develop strategies for handling, storing and refining complex data structures in order to support a specific organization - Guide colleagues in, among other things, decision support, ethical considerations in data management and BI projects - Recommend a method for data analysis based on specific requirements or situations in an organization - Visualize data appropriately based on purpose and target audience - Find their way in the field and independently keep up with its development for their own professional development

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