Description
Data Science and Machine Learning Bootcamp
The Data Science & Machine Learning workshop organized by BTK Academy | Google | Turkish Entrepreneurship Foundation | KVKK is an unmissable opportunity for friends who are interested in the subject.
After the free training, Datathon and many more activities are waiting for you!
The first step in the Data Marathon is the Data Science and Machine Learning Workshop, which includes 3-week online trainings,
The second step is the data competition (Datathon),
The third and final step is the advanced Machine Learning and Deep Learning workshop, which is open to everyone who is dedicated to data science in Turkey and where they will have the chance to put what they have learned into practice.
Why Should You Take This Training?
The “Data Science and Machine Learning Workshop”, which is the first step of the Data Marathon, aims to enable students who want to gain expertise in data science to access information in the most accurate way by applying theoretical and practical knowledge with instructors. By working with data sets that can be used in real life in the workshop; programming, statistics, econometrics, etc. knowledge will be transferred so that the fundamentals can be used in the industry in the most accurate way.
1. Apply to the workshop. Click here for application .
2. Complete any of the prerequisite trainings through the BTK Academy online training portal.
3. Join the online Bootcamp.
4. Pass the online exam at the end of the bootcamp and receive your certificate.
Prerequisite Trainings
Between January 7, 2022 – February 18, 2022, apply to the Data Science and Machine Learning Workshop event at etkinlik.btk.gov.tr and complete any of the following trainings through the BTK Academy online training portal until February 18, 2022 at 23:00 at the latest.
Python and Tensorflow for Data Science
Who Can Participate?
18 years old, university students or graduates, with basic knowledge of python, statistics and data analysis,
Anyone who wants to improve themselves theoretically and practically in Data Science can participate.
