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Data Science Bootcamp Program

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This technical course is designed to help participants understand how to become a data analyst and ultimately a data scientist with additional machine learning and artificial intelligence skills and learn the important techniques to fulfill these roles. The amount of available data is growing exponentially, and with it the job descriptions. There has never been a better time to start a career as a data scientist. The demand from industry is immense, more and more companies are transforming their business models into the digital world. If you write high-quality code, but also learn to solve problems in a practical way, you'll soon be on board in jobs as a data analyst or scientist. The job of a data scientist is to generate information from large amounts of data and derive recommendations for action that enable the company to work more efficiently. To do this, you use innovative analysis tools and develops queries that distill valuable information from confusing amounts of data. Hypotheses are then derived, which are statistically checked and prepared for management as a basis for decision-making.

A business overview from Harvard University even voted the "data scientist" the "most attractive profession of the 21st century" because data scientists are wanted in almost every industry. There is data everywhere that has to be processed to increase sales or reduce costs. Whether trade, logistics, energy or insurance companies - all industries are increasingly relying on the analysis and evaluation of their data. With further training as a data scientist, you are well prepared. Over 10,000 IT job openings for data scientists were reported recently - more than ever before. Germany's companies are desperately looking for one well-trained professionals. A university degree or a distance learning course in computer science or business informatics is no longer the only ticket to a digital future. An excellent chance to be successful if you complete a practice-oriented further training to become a data scientist.

About this Course
  • Course length : 38 weeks
  • Modules:
    - Python für Data Scienes
    - Programmieren mit Python
    - Data Analyst
    - Data Science
    - AWS Cloud

•   Daily lesson hour : Mo-Fr
     - self learning: 13:00 – 16:30
     - live lesson: 18:00 – 22:00 (Berlin time)

What will I learn?
  • Data Science Python Programming
  • CRM analysis
  • Data Science Statistics
  • Custom engineering
  • Cloud Machine Learning / Data Scientist
  • Azure Data Scientist Associate Certification
  • Machine learning
  • Deep Learning- Artificial Intelligence
  • Time sequences
  • SQL
Who is this course for?

If you are looking to learn in-demand skills that will have you job-ready in 8 months with no degree or experience required and get Data Analyst / Data Scientist Certificates like Azure Data Scientist Associate Certification then this is for you.
If you are a scientist, computer scientist, physicist, chemist, mathematician or graduate in statistics, economics, business and want to enter the data market.

This course could be for you if you are jobseeker or at risk of unemployment, career changer, unemployed, migrants and asylum seeker.

What will you qualify for?
  • Data Analyst
  • Data Scientist
  • Artificial Intelligence specialist
  • Machine Learning specialist
Filling in the form is not meant to be final registration and is not binding. Registration agreement will be sent to you by e-mail. When you fill in the form and send it to us as signed, the final registration will be made. Fill in the form below to pre-register for the course you want. Please select the program you intend to participate in. We’ll get in touch with you as soon as possible. * required

Participant's:

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I have the right to revoke this consent at any time without giving reasons (see Data protection declaration ) without affecting the legality of the processing carried out on the basis of my consent up to the point of revocation.
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Local Time

  • Timezone: America/New_York
  • Date: 18 Sep 2023 - 19 Jul 2024
  • Time: 12:00 - 16:00