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This course introduces students to the theoretical foundation of data analytics and a range of data analytic processes and techniques to provide hands-on experience to enhance their skills. Topics included in this unit are data analytic terminologies, types of data analytics, data exploration and visualisation, understanding data with descriptive, predictive and prescriptive analytics.

On successful completion of this course, students will understand the theoretical foundation of data analytics, data analytic processes and techniques. They will also gain hands-on experience of implementing data analytic processes and techniques using a programming language such as Python, R, or a tool such as Weka, KNIME, Power BI, Excel etc. As a result, students will develop skills such as communication literacy, critical thinking, analysis, reasoning and interpretation, which are crucial for gaining employment and developing academic competence.

By the end of this course a student will be able to:

  1. Discuss the theoretical foundation of data analytics that determine decision-making processes in management or business environments.
  2. Apply a range of descriptive analytic techniques to convert data into actionable insight using a range of statistical techniques.
  3.  Investigate a range of predictive analytic techniques to discover new knowledge for forecasting future events.
  4.  Demonstrate prescriptive analytic methods for finding the best course of action for a situation.

This course is designed to be as accessible as possible. There are no formal prerequisites or qualifications required to enroll. Here are a few things to keep in mind:

  • As the course is conducted entirely in English, we recommend that learners have a good grasp of the English language, both written and spoken, to gain maximum benefit.
  • Since this is an online course, you’ll need a computer, tablet, or smartphone with internet access. Familiarity with basic computer skills would be advantageous.
  • While you can learn at your own pace, dedicating consistent time to the course will help you understand and retain the material better.

Registration process:

  • Based on course settings, students might be requested to fill in an application and provide us with correct information about themselves before being able to proceed with the course (the application is online).
  • We will contact you by email if we need more details after submitting your application.
  • After approval, you can proceed with payment and start the course.

Materials are organized under different lessons. The lessons consist of self-study contents including reading-texts, practical activity, assignment and quizzes in which students can engage and learn.

The course has supervisors and instructors; they are available online to support students by answering their questions or explain different topics to them. This will be managed under discussion section, forums, direct contact or by online meetings.

When student successfully completes all lessons, quizzes and pass assignment, he/she will be offered a certificate.

The course is available as an individual or under Pearson Qualifications (HNC/HND) in Computing. The price will be updated based on the selected option. The individual course fee is higher because awarding body has additional fees for individual enrollment. At the same time, a discount will be automatically added when you order HNC/HND in Computing or if you’re already enrolled under these qualifications.

Courses awarded under Next Gates have no discount, and the fee is already reduced.

* Note that prices don’t include VAT. Additional fee might be applied at checkout.

Course Curriculum

Section One

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