Ivanooo

Certification

Advanced Data Science Course Completion Certificate from The Knowledge Academy

Durartion of the Course

4 days

Course Fee

$4395

Mode of Learning

Instructor-led lectures (virtual or in-person)

What is The Course All About?

Pros:

  • Covers essential tools like Python, R, TensorFlow, and Hadoop.
  • Includes a digital delegate pack for learner support.
  • Includes interactive breakout sessions and live feedback.
  • Globally recognized training provider with ISO certification.
  • Final exam included to validate learning.

Cons:

  • No mentorship, alumni network, personalized career guidance, or job placement assistance.
  • Lack of detailed information on instructor qualifications.
  • No industry accreditation or strong partnerships.

Who is the Course Meant For?

  • Data science professionals aiming to advance their skills in machine learning, big data, and analytics.
  • Individuals responsible for analyzing, visualizing, and managing large datasets in Python, R, and Power BI.
  • Professionals with prior experience in programming, statistics, and data handling who want to expand into advanced data science techniques.
  • Individuals with prior knowledge of Python and R programming languages.
  • Professionals with a basic understanding of statistics, probability, and linear algebra.
  • Individuals with hands-on experience working with datasets and data analysis.

Accreditations and Rankings

None
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
Grade
70%Moderate

The course covers NumPy, regression analysis, machine learning mathematics, and tools like Pandas and Power BI. However, it lacks advanced topics such as deep learning, model deployment, and big data processing frameworks.

Case Studies/Real World Events

  • Number and variety of case studies
  • Relevance of case studies to the course topic and target audience
Grade
50%Moderate

The course does not explicitly mention any case studies in the curriculum but incorporates strong real-world applications and relevant examples.

Tools

  • Use of industrystandard tools and technologies
  • Handson experience with tools
Grade
63%Moderate

The course covers Python (NumPy, Pandas, Seaborn) and Power BI, but lacks key industry tools like cloud platforms and ML frameworks, limiting practical exposure and depth for an “advanced” course.

Hands-on Projects and Applications

  • Presence of a project or practical application
  • Complexity and scope of the project
Grade
80%Strong

The course includes projects and hands-on labs with real-world exercises in a simulated environment, but lacks project details.

Faculties: Who are the experts behind the course?

Academic/Industry Exp.

  • Educational background
  • Work experience in relevant industries
Grade
43%Limited

The course does not provide trainer details but states that its trainers are leading industry experts, selected based on experience, expertise, and client feedback. While no names or credentials are shared, some learner feedback mentions positive teaching experiences.

Faculty Involvement

  • Evaluates the active role and contribution of all individuals—faculty, teaching assistants, mentors, and support staff—who directly support, guide, or enhance the learning experience throughout the course.
Grade
25%Limited

The course includes live instructor-led sessions, but the lack of mentoring or personalized assistance limits faculty involvement.

Industry Recognition

  • Awards and recognition in the field
  • Contributions to opensource projects, communities, or publications
Grade
43%Limited

The course provider lacks domain authority in data science—no top partners, known instructors, or strong LinkedIn presence for this specific course.

Delivery Methods: How Is the program delivered?

Active Interaction

  • Availability of live lectures, Q&A sessions, or webinars
  • Provide direct interaction and realtime clarification of concepts
  • Quality and effectiveness of live interactions
Grade
75%Strong

The course offers live interactive sessions with features like breakout sessions to engage with peers and trainers, and receive immediate feedback.

Self-paced/Flexible Resources

  • 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)
Grade
67%Moderate

The course includes a Digital Delegate Pack with in-depth course materials.

Assessment

  • Variety of assessment types (quizzes, assignments, projects)
  • Alignment of assessments with learning objectives
  • Quality and timeliness of feedback on assessments
Grade
33%Limited

The course assesses learners' skills through hands-on projects with immediate feedback, promoting accountability, but does not specify whether it includes quizzes or assignments.

Community

  • Presence and activity of online forums, discussion boards, or other community spaces
  • Level of engagement and support from instructors and moderators
Grade
17%Very Limited

The course lacks peer forums, cohort chats, alumni networks, or career events. Interaction is limited to live sessions only, with no structured community or long-term learner engagement.

Collaborative

  • Opportunities for group projects, peer review, or other collaborative activities
Grade
17%Very Limited

The course includes breakout sessions and collaborative engagement with peers and trainers during live classes, promoting interaction, though structured group projects are not detailed.

Career Assistance: How does the program support career growth?

Mentoring

  • Availability of personalized guidance and support from mentors or career coaches
Grade
10%Very Limited

The course does not provide any evidence of mentoring support.

Personalized Assistance

  • Availability of career Assessments (personality, skills, interests) to help learners understand their strengths and potential career paths
Grade
10%Very Limited

The course offers post-training support from trainers but does not provide personalized career guidance.

Alumni Network

  • Active alumni network for networking
Grade
17%Very Limited

The course does not mention an alumni network.

Industry Partnerships

  • Partnerships with companies
Grade
20%Very Limited

The course does not specify any partnerships with companies or organizations for its curriculum creation or delivery.

Deep-Dive/Skin in the Game

  • Aligns with how humans build skills—through real-world action, not passive theory
  • Encourages simultaneous learning and doing, with no delay between concept and practice
  • Prioritizes real-time feedback in immersive, high-engagement settings.
  • Measures how much learners are made to commit, apply, and perform—putting real skin in the game.
Grade
40%Limited

The course offers hands-on labs in a real-world simulated environment with immediate feedback but does not fully immerse learners in real-world skill application.

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 (0-24%): This indicates that coverage in this area may be minimal, or even non-existent.

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