Summer SchoolBusiness Intelligence and Data Analytics Foundations
Studienort | Deutschland, Berlin |
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Art | On Campus, Vollzeit |
Nominale Dauer | 4 Wochen |
Studiensprache | Englisch |
Auszeichnungen | Summer School |
Akkreditierung | 6 ECTS |
Studiengebühren | 2.150 € pro Programm The program price consists of the course/tuition fee (student or working professional, see details below) plus the registration fee (€60). Student course/tuition fee: €2090 This course/tuition fee covers the course, course materials and a cultural program. |
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Anmeldegebühr | 60 € einmalig The registration fee is in addition to the course/tuition fee and covers the processing of your application. It is payable upon registration. Please note that the registration fee is non-refundable. |
Einstiegsqualifikation | At least one year of university experience or equivalent work experience Die Zulassungsunterlagen werden in folgenden Sprachen akzeptiert: Englisch / Deutsch. Please upload one of the following documents:
Upload copies in a word or pdf format |
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Sprachanforderungen | Englisch All applicants are required to upload a document or certificate to demonstrate their proficiency in English language. If you are a non-native English speaker, you must prove you have a score equivalent to the level B2 or above in the European system (the Common European Framework of Reference for Languages, or CEFR), or provide evidence that you’ve undertaken an equivalent degree/studies in English. CEFR: B2 More details: www.tu.berlin/en/international/summer-school/requirements If you are a native English speaker, please select this during registration. You will then be exempt from having to upload proof of English level. |
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Sonstige Voraussetzungen | This course is designed for those who are interested to learn the ways of working with data and the key tools which can help to retreive data insights. There are no other pre-requisits for this course. |
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Weitere Informationen |
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Übersicht
Course Overview
Business Intelligence is a growing specialized area of Data Analytics. It combines a specific set of processes, tools and techniques to provide organizations the insights needed to make better business decisions.
A Business Intelligence Analyst (BI Analyst for short), specializes in understanding data processes and tools for generating insights, creating specialized dashboards that will bring data insights to every part of an organizations that needs it. This course aims to teach participants data exploration techniques and prepares for the data-driven leadership in the future
Learning Goals
Week 1 + 2
• Data Foundations – Understand the fundamental concepts of data and AI, recognize data roles and applications in business world
• Data Visualization with Tableau – Creating effective charts, graphs and dashboards to analyze data trends
• Database Design Foundations – Understand relational databases and database design principles
Week 3 + 4
• SQL Basics and Project Work – Learn the fundamentals of SQL for data manipulation.
• Project Work – Apply learned concepts to a real business case to generate data-driven recommendations
Programmstruktur
Main Course Components
- Data Literacy and AI Foundations
- Data Visualization with Tableau
- Database Design Foundations
- SQL Basics
- Project work
Mitteleuropäische Zeit
Mitteleuropäische Zeit