Business Data Analysis Bootcamp Vienna
1st edition
Business Data Analysis Bootcamp Vienna
Gain the skills, the knowledge and the mindset needed to become a data specialist on the fly!
Be it the computer on your desk or the cell phone in your hand, the world is generating an unprecedented amount of data. Using it for business purposes has become inevitable for any company today: with us and our exceptionally practical teaching approach you will become a data specialist on the fly!
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We’re your perfect match
3 main reasons you should join us
20,000
Trained professionals
Talent Garden + Hyper Island The largest player in digital education in Europe
Discover more +99%
Placement Rate
Together, we will plan the best strategy to achieve your professional goals
Your future in the field
What is a Data Analyst and what do they do?
The Business Data Analyst is a professional figure capable of having an in-depth understanding of Data Analysis, reading and interpreting various types of data, and its implications at the company level
- Developing data-driven business models
- Identifying and implementing crucial business strategies
- Using data to visualise business insights, communicate them effectively, and plan effective strategies (Data-Driven Management)
- Using specific tools (e.g., OpenRefine, Orange3, SQL) to manipulate data
- Presenting data analyses to stakeholders using Data Visualisation criteria and dashboards
- Understanding the implications of a Data Lake project for business activities
- With a Career Boost plan, we help you enhance your career path and make you more appealing to employers.
Students, faculty, and the Talent Garden community (taggers) will immediately immerse you in the dynamic world of digital. With this program, you will have the opportunity to meet and network with the best digital professionals, and you will also grow through your relationships with them: the lecturers are experts in their fields, the students are chosen for their peer-to-peer growth, and the Taggers are part of the ever-growing digital industry.
What you will learn
By the end of the course, you will know about:
- Ad Hoc Data Analytics
- Business Intelligence
- Data Governance & Best Practices
- Use Cases and Industry Requirements
A certified professional
You will receive a digital certificate on Accredible at the end of the course, which you can directly add to your LinkedIn profile.
Our alumni currently work for:
Who is the Bootcamp for?
Apply nowPrevious experience in the area of Business Data Analysis is not required, although professional experience in working with data is an advantage. The Bootcamp would be a good fit for participants with a background in Business Administration, Sales & Marketing & individuals with a primary interest in data and its analysis. English language skills (ideally B2 or C1) are required as the course is in English.
Please note: This Bootcamp is only available for residents in Austria registered at AMS (Arbeitsmarktservice) who fulfil the requirements presented by the AMS advisor.
Talk to your AMS advisor to join the Info Days and find out more!
Our selection process
Get Started
Enter your data on our website and receive a welcome email with all the info. Please check your spam folder too, just in case!
Fill the Online Questionnaire
You will receive the link to a questionnaire to share more about yourself!
Schedule Your Interview
After filling out the questionnaire, book your personal (online) interview with Olta, our Orientation & Admission Specialist. It’s an opportunity for you to ask any questions you might have and for us to know more about your background and motivation.
Done!
Did you get in? You will receive feedback within a few days after completing all steps of the application process.
What you’ll learn
In this 12-week UX Design Bootcamp, we will cover all topics to help you launch your career as a User Experience Designer. We will start at the basics but then quickly proceed to the human-centric design process, web and graphic design and engineering: analysis, prototyping, UI and Interaction Design, and User Research.
1- Introduction, Use Cases and Industry Requirements
Upon completion of the first module, you will understand the term “usability”, its principles, norms, standards, and industry requirements. You’ll understand the importance of data-driven approaches and business data analysis (Business Data Analysis) between innovation and business and how “data handling” impacts entire business ecosystems and enterprise structures.
2/3- Ad Hoc Data Analytics
Modules 2 and 3 will cover ad hoc data analysis. Ad hoc analysis in Business Intelligence differs dramatically from managed reports from the early days of Business Analytics, which used templates provided by IT and business departments.
4/5- Data Analytics
After these modules, you’ll know how data analytics works. This means analysing raw data with the aid of data analytics software and making recommendations based on that analysis. With the use of data, you’ll be able to verify or falsify hypotheses and models.
6/7- Business Intelligence
In these modules, we will learn how business intelligence (BI) is, in a lot of ways, a key aspect of most businesses in today’s world. It is a technology-driven process for analysing data and presenting actionable information. This process helps executives, managers, and other end users to make informed business decisions.
8- Databases
As part of this module, you will learn how Data Environments and Data Sets work from start to finish. After data is entered into the system, it can usually be imported into a database. As a result, the data set can be analysed across time and across sites. This module aims to demonstrate and teach how to create indicators that can help drive business more quickly. Hence, the database is used as a central repository, often including a “Data Warehouse (DWH)” or “Data Lake” within an enterprise.
9- Data Governance & Best Practices
The final module focuses on managing the availability, usability, integrity and security of data used within an organisation for data analysis. It provides business considerations for combining and recapping the content from previous modules. This module illustrates how business data analysts can drive and lead data-driven digitisation and innovation in SMEs and large enterprises through a holistic knowledge base.
Faculty
Alin Kalam
Head of Market Intelligence & Retail Digital Data Strategy | UNIQA Insurance Group AG
Live the Talent Garden experience
Financial contributions
AMS customers have the option of receiving funding for our courses on an “individual cost basis”. We will provide you with a cost estimation for the desired course, then you can clarify with your AMS advisor whether funding can be provided in your individual case.
Finanzielle Optionen
FAQ
Questions or doubts? Don't worry, we have the info you were looking for. Here are the most common questions:
Are there any prerequisites to attend this course?
You do not need specific degrees or knowledge, nor do you need to come from certain backgrounds. You will, however, need a good knowledge of English, and, more than anything else, a lot of motivation and curiosity to learn in an innovative learning environment.
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