Data Analysis Management for Beginners

Global Edulink

  • Ratings
  • 4.0
  •  Last updated 1 year ago
  •  ENGLISH

AED 245

AED 995

Duration: Upto 5 Hours
Location: United Kingdom
Delivery: Self paced course

Multinational corporations such as LinkedIn or Pinterest are having to use complex data analytics to manage the sheer volume of big data that they possess. This has become a lucrative business for technical specialists who can effectively manage this data on their behalf, working either on a contract or permanent basis. This course is a comprehensive beginner’s guide and will allow you to kick start a fruitful and rewarding career in Data Analysis.

Learning with Global Edulink has many advantages. The course material is delivered straight to you, and can be adapted to fit in with your lifestyle. It is created by experts within the industry, meaning you are receiving accurate information, which is up-to-date and easy to understand.

Who is it for?
Those hoping to become Analysts, IT Professionals, and other technical professionals.

Benefits you will gain:
✓ High-quality e-learning study materials and mock exams.
✓ Tutorials/materials from the industry leading experts.
✓ 24/7 Access to the Learning Portal.
✓ The benefit of applying for NUS extra Discount Card.
✓ Recognised Accredited Qualification.
✓ Excellent customer service and administrative support.

 The method of Assessment:
At the end of the course, learners will take an online multiple choice question assessment test. This test is marked automatically, so you will receive an instant grade and know whether you have passed the course.

Certification:
Successful candidates will be awarded certificate in Data Analysis Training for Beginners.

Entry requirements:
Learners must be age 16 or over and should have basic understanding of the English Language, numeracy, literacy and ICT.

Career Path:
This course would benefit the following:
✓ Senior Business Analyst, Data Governance
✓ Experimentation and Web Analytics Analyst
✓ Strategic Analytics Manager
✓ Business Science Data Planner
✓ Digital Analyst
✓ Business Intelligence Engineer

 


 
 

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