Ivanooo

Accrediations

Caltech CTME and IBM

Durartion of the Course

11 Months

Course Fee

$4,500

Mode of Learning

Integrated Learning

What is The Course All About?

Pros:

  • Covers a wide range of data science topics, ensuring a well-rounded education.
  • Partnerships with Caltech CTME and IBM provide valuable industry insights and recognition.
  • Includes over 25 projects and capstone experiences for practical application.

Cons:

  • Assumes prior understanding of programming and mathematics, which may not suit complete beginners.
  • Live sessions may not accommodate all time zones, potentially limiting accessibility for some learners.

Who is the Course Meant For?

  • Aspiring data scientists with foundational programming and math skills.
  • Professionals aiming to transition into data-centric roles.
  • Individuals seeking to enhance their data analysis and machine learning expertise.
  • Individuals with a basic understanding of programming concepts, mathematics, and preferably 2+ years of work experience.

Accreditations and Rankings

Caltech CTME and IBM
Advanced (for experienced learners)

Skills: What does this program cover?

  • Depth and Breadth of Topics Strong
  • Case Studies Moderate
  • Tools Strong
  • Capstone Projects/Real World Application Strong
Skills: 24 /30

Faculties: Who are the experts behind the course?

  • Academic/Industry Exp. Strong
  • Teaching Experience Strong
  • Industry Recognition Strong
Faculties: 17 /20

Delivery Methods: How Is the program delivered?

  • Live Interaction Strong
  • Self-Paced Strong
  • Assessment Moderate
  • Community Strong
  • Collaborative Limited
Delivery Methods: 21.5 /30

Career Assistance: How does the program support career growth?

  • Mentoring Limited
  • Personalized Assistance Limited
  • Alumni Network Very Limited
  • Industry Partnerships Strong
Career Assistance: 6 /15

Student Satisfaction and Feedback: What Do Students Say About the Course?

  • Feedback & Improvement Strong
Alumini Feedback: 4 /5

Benchmark Labels:

Strong (75-100%): This indicates the course demonstrates exceptional strengths in this area, exceeding expectations.
Moderate (50-74%): This signifies the course performs adequately in this area, covering essential aspects.
Limited (25-49%): This highlights areas where the course could significantly improve to provide a more comprehensive learning experience.
Very Limited (1-24%): This indicates that coverage in this area may be minimal, or even non-existent.
Not Applicable: This indicates that this criteria is not applicable for this course.

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