What Will I Learn?
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.
|Who is it for?||Those hoping to become Analysts, IT Professionals, and other technical professionals.|
|Benefits you will gain||
|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
|1. an overview of data and analytics|
|An Overview of Data and Analytics||00:34:00|
|Have you got Data? What Are You Wondering About?||00:31:00|
|2. approaches to data deluge|
|Approaches to Data Deluge||00:31:00|
|3. studying patterns and causes|
|Studying Patterns and Causes||00:28:00|
|4. the management of data and algorithms|
|How to manage Complexity of Algorithms?||00:30:00|
|The Data Management Cycle||00:28:00|
|5. understanding graphics and data|
|Understanding Graphics and Data||00:27:00|
|6. how to prepare data ?|
|How to Prepare Data ?||00:29:00|
|Mock Exam: Data Analysis Management for Beginners||00:40:00|
|Exam: Data Analysis Management for Beginners||00:40:00|