WSQ Data Modelling and Visualization (SF) (Synchronous and Asynchronous E learning)
About This Course
The module "Data Modelling & Visualization" provides learners with the knowledge and skills necessary to perform effective data modelling and visualization using Power BI. In this course , learners will gain a comprehensive understanding of data analytics and the capabilities of Power BI.
The module begins with an introduction to data analytics, equipping learners with a foundational understanding of key concepts and techniques used in data analysis. Subsequently, learners will explore Power BI Transformation, where they will acquire skills to clean and prepare data for analysis, ensuring data quality and reliability. The Power BI Data Modelling unit focuses on creating data models that establish relationships and hierarchies, enabling efficient data exploration and analysis.
Moving forward, learners will delve into Power BI Reports, learning how to design and develop visually appealing and insightful reports to communicate data findings effectively. In the final IU, Power BI Dashboards, learners will discover techniques to create interactive dashboards, allowing users to interact with data, gain insights, and make data-driven decisions.
Through project tasks, learners will implement data modelling and visualization using Power BI. By completing these tasks, learners will gain practical experience in transforming and modelling data, generating informative reports, and developing interactive dashboards. This hands-on approach enables learners to apply their knowledge in real-world scenarios, enhancing their skills in data modelling and visualization techniques using Power BI.
By mastering the concepts and techniques covered in this module, learners will be well-prepared to leverage the power of Power BI in their data analytics and visualization tasks, enabling them to extract valuable insights and drive data-informed decision-making within organizations.
What You'll Learn
The duration of the course is 80.5
The instructional Units
1. Introduction to Data Analytics
2. Power BI Transformation
3. Power BI Data Modelling
4. Power BI Reports
5. Power BI Dashboards
Knowledge Outcomes:
1. Understanding of Data Analytics Fundamentals: Learners will gain knowledge of foundational concepts and techniques in data analysis, including data cleaning, transformation, and visualization principles.
2. Proficiency in Power BI Data Modelling: Learners will acquire knowledge of creating effective data models in Power BI, including establishing relationships, hierarchies, and optimizing data structures for efficient analysis.
3. Familiarity with Power BI Reporting and Dashboarding: Learners will develop an understanding of designing and developing visually appealing reports and interactive dashboards in Power BI to communicate data findings effectively.
Skills Outcomes:
1. Data Cleaning and Transformation: Learners will develop skills in cleaning and preparing data for analysis using Power BI, ensuring data quality and reliability through various transformation techniques.
2. Data Modelling and Analysis: Learners will acquire skills in creating and managing data models in Power BI, enabling efficient data exploration, analysis, and interpretation.
3. Report Design and Dashboard Development: Learners will master skills in designing and developing visually appealing reports and interactive dashboards in Power BI, allowing users to interact with data, gain insights, and make data-driven decisions effectively.
Entry Requirements
Academic Qualification: Minimum 1 credit in O Level or its equivalent
Experience: Minimum 1-year experience in any business process