Course Brief

This module provides learners with essential knowledge and practical skills necessary for developing effective data analytics applications using Microsoft Power BI. Learners begin by exploring foundational principles of data analytics, understanding data-driven decision-making processes, and gaining proficiency in utilizing the Power BI platform. The module advances through data transformation techniques, teaching learners how to cleanse, manipulate, and prepare data efficiently. Further, students will acquire expertise in constructing robust data models within Power BI to establish meaningful relationships and optimize analytical performance. Lastly, learners will master creating visually compelling and interactive reports and dashboards, effectively translating complex data into actionable insights.

Upon completing this module, learners will possess the capability to perform comprehensive data analysis and create powerful analytical applications tailored to diverse organizational needs. They will confidently implement data transformation processes, develop sophisticated data models, and craft dynamic reports and dashboards to enhance business intelligence initiatives. Graduates will be adept at leveraging Power BI’s full functionality to improve decision-making, communicate insights clearly, and drive informed strategic actions in professional environments.

Course Knowledge, Skills & Ability Summary

At the end of the course, you will be able to acquire the following:

Knowledge

  • Explain fundamental concepts of Data Analytics and Power BI.
  • Identify appropriate data transformation techniques within Power BI.
  • Describe data modelling principles for effective analytical structures.
  • Outline essential features for creating interactive Power BI dashboards.

Skills

  • Utilize Power BI to initiate data analytics projects effectively.
  • Perform data cleansing and transformation tasks proficiently in Power BI.
  • Construct optimized data models to enhance analytical efficiency.
  • Develop interactive dashboards and reports to communicate insights clearly.

Ability

Efficiently analyse data and design insightful, interactive analytics applications using advanced Power BI functionalities for informed organizational decision-making.

Blended Learning Journey

(20.5 Hours)

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E-Learning

4 Hours

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Mentoring Support (Sync) (Assignment)

16 Hours

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Summative Assessment

0.5 Hours

Module Summary

WSQ Data Analytics Application Development (SF)

Module Brief

This module provides learners with essential knowledge and practical skills necessary for developing effective data analytics applications using Microsoft Power BI. Learners begin by exploring foundational principles of data analytics, understanding data-driven decision-making processes, and gaining proficiency in utilizing the Power BI platform. The module advances through data transformation techniques, teaching learners how to cleanse, manipulate, and prepare data efficiently. Further, students will acquire expertise in constructing robust data models within Power BI to establish meaningful relationships and optimize analytical performance. Lastly, learners will master creating visually compelling and interactive reports and dashboards, effectively translating complex data into actionable insights.

Upon completing this module, learners will possess the capability to perform comprehensive data analysis and create powerful analytical applications tailored to diverse organizational needs. They will confidently implement data transformation processes, develop sophisticated data models, and craft dynamic reports and dashboards to enhance business intelligence initiatives. Graduates will be adept at leveraging Power BI’s full functionality to improve decision-making, communicate insights clearly, and drive informed strategic actions in professional environments.

Other Information
  • SSG Module Reference No: TGS-2025057694
  • Module Validity Date: 2027-01-31

Target Audience & Prerequisite

Target Audience

Prerequisite

  • Minimum Age: Minimum 21 years.
  • English Proficiency: Minimum IELTS 5.5 or its equivalent.
  • Academic Qualification: Minimum one credit in N Level or its equivalent.
  • Experience: Not Mandatory.

Graduation Requirements

Certificates

Academic Qualification

  • No Academic Qualification for this course

Statement of Attainment

  • WSQ Data Analytics Application Development (SF)

    ICT-DIT-3006-1.1: Data Visualization

Industry Skills Certificate

  • No Industry Skills Certificate for this course

Other Information

Course Reference

  • SSG Course Reference No: TGS-2025057694

  • Course Validity Date: 2027-01-31

  • Course Developer : Lithan Academy

Pricing & Funding