2. How is this specialization different from the IBM Applied Data Science track?

2. How is this specialization different from the IBM Applied Data Science track?

Foundations focus on core tools and workflows.
Applied specialization dives deeper into ML projects.
This course uses both Python and R, unlike IBM’s Python focus.
Emphasizes SQL, GitHub, and methodology for beginners.
Serves as a starting point before advanced specializations.

2. How is this specialization different from the IBM Applied Data Science track?

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3. Will I get exposure to cloud-based tools in this program?

2. How is this specialization different from the IBM Applied Data Science track?

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1. Do I need to know both Python and R before starting this specialization?