Microsoft Power BI Data Analyst PL-300 Exam Prep
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