Jakob Schlegel
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This Code Labs Academy Data Science & AI Bootcamp introduces participants to the fundamentals of the Data Science & AI industry and career.
Throughout this course, participants work on solving real industry problems, produce evidenced development projects, and work alongside our Career Services offering to hone their skills into exactly what modern employers are looking for, eventually graduating with a truly holistic understanding of professional Data Science & AI.
Acquired Skills:
SQL, Python, Jupyter Notebook, git and GitHub, Linear Algebra
Data Analysis, Data Preparation, Data visualisation, Data Exploration.
Machine Learning, Supervised and Unsupervised learning, ML model enhancement, SVM, Random Forests, classification.
Neural Networks, Autoencoder architecture, Data augmentation, Tensorflow, Keras, Scikit-Learn.
A showcase of the key skills and technologies learned and applied.
The earning criteria for this completion certificate includes: completing the evidenced study in the topics of the course, attending the required live learning sessions; and submitting all required coursework and projects.
Our graduates had to pass through 12 weeks of intensive training. For a more detailed overview of the skills that our graduates have learned, please check our Data Science & AI Bootcamp curriculum.
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