Data Analyst – the training with a bright future

Are you a scientist, engineer, statistician, business manager, economist, marketing manager or similarly qualified? Do you enjoy the analytical processing of company data and the communication with contacts within your company or with your customers?

As a Data Analyst, you have excellent career opportunities when changing from a different professional field!

In addition to a general understanding of technology, you will learn to work in Python. Afterwards, the world of databases, models, and visualisation will open up to you. You will also be taught various management skills such as presentation and communication techniques as well as team building.

Additionally, you will earn a certificate as a sustainability officer, as "Green IT" is becoming increasingly important for companies.

In your final project, all the knowledge and tools you acquired to work as a Data Analyst are applied and deepened.

Your responsibilities in a company upon successful completion of the programme:

• Data Analysts deal with data volume and identify trends, e.g. by analysing data from websites and social networks.
• The specialisation forms the basis for developing predictions and transforming data into information.
• A Data Analyst analyses and evaluates existing data sets in order to generate new knowledge that is important for the company.

Why are Data Analysts in high demand?

The amount of data is constantly growing, and the more digitalization advances, the more of it there will be. Companies are becoming more and more "data-driven", and therefore the demand for data-savvy specialists is constantly and rapidly increasing! As a Data Analyst, you have highly sought-after skills for this attractive job market.

Data Analysts are in demand in the purchasing, procurement, logistics and sales departments as well as in marketing or human resources departments.

An example that everyone knows: Amazon. The data of millions of users of smartphones and computers is collected, consolidated, and sent to data centers. As soon as the user logs on to the platform, the buyer's profile is retrieved, ads are played via remarketing, the last orders are listed, and the purchases of customers who were also interested in these products are identified!

Working environment

The great thing is that the job can also be done remotely from anywhere in the world. Employers focus primarily on the result and not necessarily on the number of hours worked.

Visualize being in a guesthouse in Cape Town in January, working on your new project for a German company. Your morning starts with a run on the beach. During the day, you use the time for team meetings and client communication, as Germany is in the same time zone.

You enjoy your sundowner at 28 degrees on the terrace, because it's summer in Cape Town, while in Germany it's raining and storming at 3 degrees!

Just a dream? Your future starts here if you choose the bootcamp Data Analyst.