Emeritus Professional Certificate in Data Engineering with Microsoft Azure -Ivanooo

Accrediations

Verified digital certificate from Emeritus

Durartion of the Course

6 months

Course Fee

$3,000

Mode of Learning

Integrated Learning

What is The Course All About?

Pros:

Comprehensive training on over 15 Azure tools, including Synapse Analytics and Databricks.
Practical learning through 80+ graded assignments and a capstone project.
Prepares learners for Azure certification exams (e.g., DP-203).
Access to a global community for networking opportunities.

Cons:

Additional costs for Azure tool subscriptions in practical projects.
Basic alumni engagement with fewer structured events or resources.

Who is the Course Meant For?

Recent STEM graduates aiming to accelerate their careers in data engineering.
Early-to-mid career professionals in data-adjacent fields seeking to transition into data engineering roles.
Individuals familiar with Python or SQL.

Accreditations and Rankings

Verified digital certificate from Emeritus

Intermediate (for those with basic knowledge)

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
Strong
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
Moderate

Skills: 22 /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
Moderate
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
Moderate
Collaborative
ⓘ
- Opportunities for group projects, peer review, or other collaborative activities
Moderate

Delivery Methods: 20 /30

Career Assistance: How does the program support career growth?

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

Career Assistance: 9 /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.