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Course Description

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.

This course is comprised of professionally narrated e-Learning modules, interactive quizzes, tests and exams. All delivered through a system that you will have access to 24 hours a day, 7 days a week for 365 days (12 months). An effective support service and study materials will build your confidence to secure your qualification.

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...

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Course Content

1. An Overview Of Data And Analytics

2. Approaches To Data Deluge

3. Studying Patterns And Causes

4. The Management Of Data And Algorithms

5. Understanding Graphics And Data

6. How To Prepare Data ?

1. An Overview Of Data And Analytics

2. Approaches To Data Deluge

3. Studying Patterns And Causes

4. The Management Of Data And Algorithms

5. Understanding Graphics And Data

6. How To Prepare Data ?

 

Entry Requirements

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

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

Assessment Methods

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.

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.

Additional Information

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

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