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Beginnt 4 June 2026 04:22

Endet 4 June 2026

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Applied Data Science

Title: Applied Data Science Specialization Description: Dive into the dynamic field of data science with Applied Data Science Specialization, a comprehensive program designed for enthusiasts eager to solve real-world data problems. Perfect for individuals aiming to advance their career in data science, this specialization is a follow-up to introduc.
via Coursera  Specialization

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Title:

Applied Data Science Specialization

Description:

Dive into the dynamic field of data science with Applied Data Science Specialization, a comprehensive program designed for enthusiasts eager to solve real-world data problems. Perfect for individuals aiming to advance their career in data science, this specialization is a follow-up to introductory data science courses and builds on existing foundational skills.

Over four detailed courses, participants will master practical tools for analyzing data and making informed business decisions using computer science and statistical analysis techniques.

Learn Python from scratch and explore essential data analysis and visualization methods using popular tools like Numpy and Pandas. Engage in predictive modeling, explore model selection, and learn to narrate compelling data-driven stories to support decision-making.

This specialization offers a mix of guided lectures, labs, and projects conducted in the IBM Cloud, providing a hands-on approach to solving intriguing data challenges from beginning to end.

Accelerate your journey into data science, and prepare for more advanced topics such as big data, AI, and deep learning. Beyond the knowledge, earn a specialization completion certificate from Coursera, along with a digital badge from IBM.

This program also counts towards the IBM Data Science Professional Certificate and is ACE® recommended, offering up to 12 college credits upon completion.

Provider:

Coursera Specialization

Categories:

Artificial Intelligence Courses, Python Courses, Data Science Courses


Unterrichtet von

Alex Aklson and Joseph Santarcangelo


Fachgebiete