WSQ Data Analytics Application Development (SF) (Synchronous & Asynchronous eLearning)
About This Course
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
What You'll Learn
1. Introduction to Data Analytics and Power BI.
2. Power BI Data Transformation
3. Power BI Data Modelling
4. Power BI Reports and Dashboards
Learning Outcomes
Knowledge Statements
1. Explain fundamental concepts of Data Analytics and Power BI.
2. Identify appropriate data transformation techniques within Power BI.
3. Describe data modeling principles for effective analytical structures.
4. Outline essential features for creating interactive Power BI dashboards.
Skills Statements
1. Utilize Power BI to initiate data analytics projects effectively.
2. Perform data cleansing and transformation tasks proficiently in Power BI.
3. Construct optimized data models to enhance analytical efficiency.
4. Develop interactive dashboards and reports to communicate insights clearly
Entry Requirements
Academic: Minimum one credit in N Level or its equivalent
English Proficiency – Minimum IELTS 5.5 or its equivalent