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.
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!
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.
Duration of the Bootcamp: 12 weeks
Lesson times of the course: Monday – Friday | 9 am to 6 am (GMT)
Total: 540 learning units.
*1 LU = 45 min
In this course, participants receive practical training and user-related skills in the field of the Data Analyst. The Data Analyst uses data to answer questions and communicate findings that clients need to make decisions. The course presents a variety of content and competencies needed to meet the professional requirements of a Data Analyst.
This course is aimed in particular at qualified professionals who do not yet have any experience with programming or the Python programming language.
The following modules form the basis of the knowledge transfer:
Hybrid training (On-site classroom training or virtual face-to-face teaching via Teams or similar VC (Virtual Classroom).
The training is accompanied by job application support measures. Greenbootcamps has a network of companies that are looking for employees with the Data Analyst qualification. These cooperation partners are involved in the application process from the beginning and accompany the participants during the bootcamps. Upon successful completion, they are guaranteed a permanent position.
Upon successful completion, the participant will receive an internationally valid certificate from Greenbootcamps as well as an evaluation of their performance. Furthermore, you will receive a certificate as ITIL® 4 Specialist: Sustainability In Digital & IT.
You should possess basic IT skills – such as the use of Office products and the internet. Furthermore, participants should be proficient in the language used in the course (English).
Participants work with digital learning materials that they can download via the learning management system. The learning management system is online and is available to all participants during the training.
MS Office, Internet access, advanced open-source applications (such as MS Power BI Desktop, Hadoop, Anaconda), learning management system, online communication system.
Within the course, corresponding learning assessments are planned (at the end of each section). Within the lessons, exercises conclude individual learning units.
540 Learning Unit in total, 1 LU = 45 min
Basics:
Data Structures in Python:
Once you click apply, our admissions team will contact you to arrange a call to answer your questions and explain our application process. if you have any questions feel free to contact us.
