Nuclio Learning
Transform data into decisions with the Advanced Data Science: Key Tools certification course. Gain industry best practices for structuring ML projects and mastering scikit-learn for efficient data cleaning and processing.
This course covers key concepts such as Python virtual environments, proper structuring of ML projects, and the appropriate use of the sklearn package, focusing on Pipelines, Transformers, and ColumnTransformers to automate data cleaning and processing. Learn to develop Python modules to promote code reuse and improve efficiency in ML project development.
Junior Data Science Professionals
Professionals in the world of Data Science with 1-2 years of experience who wish to improve their skills to make the leap to senior.
Data Analysts
Data Analysts who want to expand their knowledge to switch to a Data Scientist position.
Nuclio Alumni
Former students of Nuclio who need to refresh their knowledge.
Nico Popescul
Instructor
By taking this course, you will be able to carry out a Supervised Machine Learning project applying industry best practices, structure ML projects correctly, and master the effective use of scikit-learn. This course is ideal for junior data science professionals, data analysts, and Nuclio alumni looking to advance their careers.
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Installation of Python and other necessary tools.
Creation of Python virtual environments with pip and anaconda.
Creation of the necessary folder structure for an ML project.
Instructor, Nuclio Learning
Nico Popescul is a passionate instructor at Nuclio Learning, specializing in Python and data science.
Cost
€280
Duration
Dates
Location