Microsoft Power BI Data Analyst PL-300 Exam Prep (Synchronous e-learning)
About This Course
Course Objective
Learners will be able to develop, apply data modelling and data visualisation to identify underlying trends and patterns in data.
Learning Outcomes
LO1 – Apply predictive data modelling techniques to identify patterns across multiple datasets using Power BI
LO2 - Create prototype algorithms to make decisions on patterns
LO3 - Manage the creation of interactive data visualisations using industry-standard tools in line with organisational procedures.
LO4 – Apply data aggregation and machine learning techniques to gain new insights into data.
LO5 - Assess relevant insights from mined data and determine their impact on the organisation for ongoing improvements.
What You'll Learn
Topic 1 Discover data analysis
Topic 2 Get started building with Power BI
Topic 3 Get data in Power BI
Topic 4 Clean, transform, and load data in Power BI
Topic 5 Design a data model in Power BI
LU2: Create prototype algorithms to make decisions on patterns
Topic 6 Introduction to creating measures using DAX in Power BI
Topic 7 Optimize a model for performance in Power BI
LU3: Data Visualization
Topic 8 Work with Power BI visuals
Topic 9 Create a data-driven story with Power BI reports
Topic 10 Create dashboards in Power BI
LU4: Data Mining and AI Analytics
Topic 11 Perform analytics in Power BI
Topic 12 Work with AI visuals in Power BI
LU5: Power BI Performance
Topic 13 Create and manage workspaces in Power
Topic 14 Manage datasets in Power BI
Topic 15 Implement row-level security
Entry Requirements
Knowledge and Skills
• Able to operate computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience.
Miniumum Age Group: 21-65 years old