Theoretical breadth in machine learning and deep learning comes at the expense of hands-on practical application
Strengths
Phased curriculum progression
The course organizes learning into distinct stages: mathematics, Python, data wrangling, machine learning, and deep learning.
Topic coverage
The syllabus spans a wide range of essential data science topics including Python, machine learning, and deep learning.









