Simplilearn Caltech Post Graduate Program in Data Science -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
ⓘ
- Range of topics covered. - Number of topics, comprehensiveness (introductory to advanced)
- Theoretical vs. practical balance
- Alignment with industry standards and current trends
Strong
Case Studies
ⓘ
- Number and variety of case studies
- Relevance of case studies to the course topic and target audience
Moderate
Tools
ⓘ
- Use of industrystandard tools and technologies
- Handson experience with tools
Strong
Capstone Projects/Real World Application
ⓘ
- Presence of a project or practical application
- Complexity and scope of the project
Strong

Skills: 24 /30

Faculties: Who are the experts behind the course?

Academic/Industry Exp.
ⓘ
- Educational background
- Work experience in relevant industries
Strong
Teaching Experience
ⓘ
- Experience teaching similar courses or topics
- Teaching style and approach (engaging, clear, accessible)
Strong
Industry Recognition
ⓘ
- Awards and recognition in the field
- Contributions to opensource projects, communities, or publications
Strong

Faculties: 17 /20

Delivery Methods: How Is the program delivered?

Live Interaction
ⓘ
- Availability of live lectures, Q&A sessions, or webinars
- Provide direct interaction and realtime clarification of concepts
- Quality and effectiveness of live interactions
Strong
Self-Paced
ⓘ
- Flexibility in scheduling and pacing
- Prerecorded videos covering lectures, tutorials, demonstrations, and supplemental content, allowing students to engage with course material flexibly.
- Quality and availability of selfpaced materials (videos, readings, exercises)
Strong
Assessment
ⓘ
- Variety of assessment types (quizzes, assignments, projects)
- Alignment of assessments with learning objectives
- Quality and timeliness of feedback on assessments
Moderate
Community
ⓘ
- Presence and activity of online forums, discussion boards, or other community spaces
- Level of engagement and support from instructors and moderators
Strong
Collaborative
ⓘ
- Opportunities for group projects, peer review, or other collaborative activities
Limited

Delivery Methods: 21.5 /30

Career Assistance: How does the program support career growth?

Mentoring
ⓘ
- Availability of personalized guidance and support from mentors or career coaches
Limited
Personalized Assistance
ⓘ
- Availability of career Assessments (personality, skills, interests) to help learners understand their strengths and potential career paths
Limited
Alumni Network
ⓘ
- Active alumni network for networking
Very Limited
Industry Partnerships
ⓘ
- Partnerships with companies
Strong

Career Assistance: 6 /15

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

Feedback & Improvement
ⓘ
- Quantity and quality of student reviews
- Responsiveness of course providers to feedback
- Evidence of continuous improvement in the course content and delivery
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.