Data Science Bootcamp
computer Online: Virtual 1 Oct 2026 until 10 Dec 2026view details event 01 October, 2026, 09:00-13:00, Virtual, Dag 1 event 08 October, 2026, 09:00-13:00, Virtual, Dag 4 event 15 October, 2026, 09:00-13:00, Virtual, Dag 2 event 22 October, 2026, 09:00-13:00, Virtual, Dag 3 event 29 October, 2026, 09:00-12:00, Virtual, Dag 5 event 05 November, 2026, 09:00-12:00, Virtual, Dag 6 event 12 November, 2026, 09:00-12:00, Virtual, Dag 7 event 19 November, 2026, 09:00-12:00, Virtual, Dag 8 event 26 November, 2026, 09:00-12:00, Virtual, Dag 9 event 03 December, 2026, 09:00-12:00, Virtual, Dag 10 event 10 December, 2026, 09:00-12:00, Virtual, Dag 11 |
What will you learn?
Embark on a comprehensive learning experience: Dive into Python essentials for data analysis and beyond. Learn about Jupyter Notebooks for interactive documentation and project organization. Create compelling data visualizations using Matplotlib, Pandas, and Seaborn. Become a pro at data-wrangling tasks and customization with Pandas. Tackle real-world projects to solidify your skills. Explore Machine Learning using scikit-learn, preprocessing, and model automation. Build predictive models from scratch and understand ML concepts.
There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.
What will you learn?
Embark on a comprehensive learning experience: Dive into Python essentials for data analysis and beyond. Learn about Jupyter Notebooks for interactive documentation and project organization. Create compelling data visualizations using Matplotlib, Pandas, and Seaborn. Become a pro at data-wrangling tasks and customization with Pandas. Tackle real-world projects to solidify your skills. Explore Machine Learning using scikit-learn, preprocessing, and model automation. Build predictive models from scratch and understand ML concepts.
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courses at Xebia Academy.
There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.

