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Knowledge Graph Benefit Case

Name: Knowledge Graph Benefit Case
Rating: 8.8 (18 reviews)

Define strategy and benefit case for a Knowledge Graph solution

3.7

☆☆☆☆☆ 3.7/5

(18 reviews)

82 students

Created by

8.8

Classbaze Grade®

9.4

Freshness

7.7

Popularity

8.7

Material

Detailed Analysis »

Platform: Udemy

Price: check current price

Video: 1h 16m

Language: English

Next start: On Demand

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Classbaze Rating

Classbaze Grade®

8.8 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

9.4 / 10

This course was last updated on 10/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

7.7 / 10

We analyzed factors such as the rating (3.7/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

8.7 / 10

Video Score: 7.7 / 10

The course includes 1h 16m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.

The average video length is 2 hours 05 minutes of 7 Graph Databases courses on Udemy.

Detail Score: 8.8 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.

9 resources.

0 exercise.

0 test.

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About the course

In the past, Organizations relied heavily on process reviews and sample reviews to drive their conclusion. Today, nearly 85% of the data they review is unstructured. Traditional IT function automates 15% but leaves the 85% to an army of humans. Digitization is seeking decision-making in real-time.
Regulators are seeking review of 100% transactions. Samples are no longer sufficient Outsourcing is involving external organizations to decision-making. Policies and procedures must be digitized. Customer engagements are aggressively looking for fast turn-around on quality decision making utilizing all available structured and non-structured data. They want support for proactive online decisions to improve customer service..

The concept of using Graph databases to map relationships digitally started seeing popular usage in business around 2015. With increased compute power, in-memory computing, multi-processing and agreed-upon standards moved the concept from academics to real-world uses in business and enterprise computing.

After completing this course, youu will be able to
* Describe what is Knowledge Graph
* Understand and articulate the use case for knowledge graph solution
* Define benefit case of knowledge graph solution
* Define relative complexity and benefits of knowledge graph solution and
Finally, You will learn how to strategize a Graph analytics experience

What can you learn from this course?

✓ Describe what is Knowledge Graph
✓ Articulate knowledge graph use cases
✓ Articulate benefit case for knowledge graph use cases
✓ Define relative complexity of knowledge graph solution

What you need to start the course?

• None

Who is this course is made for?

• Business Analysts
• Architects
• Management Consultants
• MBA Students
• Analytics Students
• Data Scientists

Are there coupons or discounts for Knowledge Graph Benefit Case ? What is the current price?

The course costs $24.99. And currently there is a 580 discount on the original price of the course, which was $59.99. So you save $35 if you enroll the course now.

The average price is $16.0 of 7 Graph Databases courses. So this course is 56% more expensive than the average Graph Databases course on Udemy.

Will I be refunded if I'm not satisfied with the Knowledge Graph Benefit Case course?

YES, Knowledge Graph Benefit Case has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Knowledge Graph Benefit Case course, but there is a $35 discount from the original price ($59.99). So the current price is just $24.99.

Who will teach this course? Can I trust Neena Sathi?

Neena Sathi has created 12 courses that got 196 reviews which are generally positive. Neena Sathi has taught 601 students and received a 4.4 average review out of 196 reviews. Depending on the information available, we think that Neena Sathi is an instructor that you can trust.

Learn everything about

Neena Sathi

Principal, Applied AI Institute

Neena Sathi is a principal at Applied AI Institute. She has 30+ years of experience envisioning, designing, developing and implementing AI solutions associated with enhancing customer experience, back office automation and risk and compliance for many Fortune 100 organizations. She has worked in senior technical positions at Carnegie Group, Inc, an AI startup, Accenture, KPMG, and IBM.
Neena has three masters degrees including MBA from leading US universities. She is Master certified integration architect from IBM and Open Group as well as certified Project management professional (PMP) from Project management institute. She is also certified in many Cloud and Cognitive technologies. She has widely presented and published many papers in AAAI, IEEE, WCF, ECF, IBM Information on Demand, IBM Insight, World of Watson, IBM Developer Works and various academic journals.

Suvesh Balasubramanian has teamed up with Neena Sathi on this course. He has over 25 years of broad base industry, management consulting and advisory experience aligning enterprise strategy and desired outcomes with technology enabled business solutions. He has led and delivered several large digital transformation initiatives, including AI, Data Science and Analytics across a wide array of industries including Healthcare, Logistics, Hi-Tech, Financial Services and Retail

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