Data Science Certification Foundation

We recommend that you start with this learning path. This learning path currently consists of one course that introduces you to Data Science from a practitioner point of view, to courses that discuss topics such as data compilation, preparation and modeling throughout the life-cycle of data science from basic concepts and methodologies to advanced algorithms. It also discusses how to get some practical knowledge with open source tools.

Courses

Python for Data Science

Effort: 5 hours

Level: Beginner

Badge: Python for Data Science

About the course

This course will kickstart your learning of ‘Python for Data Science’, as well as programming. This beginner-friendly course makes you proficient at programming in Python in only a few hours.

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Data Science Methodology

Effort: 4 hours

Level: Beginner

Available in: English

Badge: Data Science Methodology

About the course

This course provides you with the major steps involved in tackling a data science problem and practicing data science, with interesting real-world examples at each step – forming a concrete business or research problem, collecting and analyzing data, building a model, and understanding the feedback after model deployment.

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