Level 4 Extended Diploma in Data Analytics
About the Course:
Uniquely, this course builds a strong foundation in the fundamentals of Data. It’s a launching pad to becoming a Data Analyst. Learners will gain the required skills for a highly competent professional in the field of Data Analytics. This course is designed to be relevant to organisations achieving sustained growth by optimizing resources and exploiting the insights offered by data.
Accreditation
The course is accredited by the Institute of Analytics (IoA). The IoA is a professional body for analytics and data science professionals across the world. The goals of IoA align with that of LEB’s for developing and promoting the highest professional and ethical standards in the realm of data analytics.
As an IoA Partner, we are committed to staying up to date in the fast-evolving field of analytics and data science. This in turn, will help ensure you are well-equipped to navigate the fast-changing landscape of analytics
Duration
6 months
Progression
This course should be a route to in demand jobs in the business & technology sector.
Relevant Employment Roles:
Data Analyst
Business Analyst
Data Engineer
Financial Analyst
Data Visualization Specialist
Database Admin
Decision Scientist
Data Journalist
Entry Requirements
There are no specific entry requirements, but you must be 16 years of age and above. No prior knowledge is required.
Structure
This is a 6 month level 4 course with 90 credits and follows a work and problem-based learning approach. You will be required to demonstrate how you have utilized your learning and skills acquired during the course. You will need to solve real or hypothetical issues and problems by integrating and building on the learning you have achieved from the course. You will need to submit a reflective log and a capstone project of between 1,500 to 2,000 words.
Taught Modules
NO | MODULE DESCRIPTION | No. of live Tutorial Sessions |
1 | Understanding Data | 2 |
2 | Excel Functions and Tools | 6 |
3 | Tableau | 6 |
4 | Power BI | 6 |
5 | Descriptive Analytics | 2 |
6 | Predictive Analytics | 2 |
7 | Prescriptive Analytics | 4 |
8 | DBMS, RDBMS, SQL | 4 |
9 | Data Quality, Data Protection | 2 |
10 | Data Architecture, Meta data, Master data | 2 |
11 | Role of AI in Data Analytics | 4 |
Online Delivery
SELF INSTRUCTURAL LEARNING MATERIAL | LIVE ONLINE TUTORIALS |
A complete set of learning materials is provided to facilitate independent study and can be downloaded from our Learning Portal. | There are 40 live tutorial sessions of 1.5 hours each. These are usually delivered twice a week. It is highly recommended that you attend all of them. |
Every module will have self-test questions. Learners should answer these questions and check them against the answers provided to strengthen their understanding of the subject matter in the module |