Data Visualisation and Storytelling with Power BI
About This Course
At the end of the program, learner is able to:
• operate in work contexts may range from one where unanticipated changes have become norms
• optimise original and formerly tested and proven technical or business solutions from varying fields of expertise to apply to the work contexts and/or professional practices
• optimise structures to harness the effects of change and advance the organisational and/or professional community goals
• uphold and maintain a culture of innovative thinking and practices to sustain value-creation and meet the long-term goals of the organisation and/or professional community.
• possess a high level of social and leadership skill to develop business and professional networks, grow leaders and foster an atmosphere of inclusiveness with diverse external stakeholders in the global business and/or professional community
• deal with ethical and professional issues in accordance with current professional and/ or ethical codes or practices.
• demonstrate exemplary ability to engage in self-reflection and inquiry to formulate technical or business ideas and directions to drive change and harness the potentials from change
• be a people developer, values diversity, others’ knowledge and skills and demonstrates commitment and ability share own knowledge and inspire others to learn.
What You'll Learn
• Identify the types of data visualisation tools and techniques
• Choose the appropriate data visualisation techniques and information displays to convey data and findings
2. Prepare and Transform Data in Power Query Editor
• Discover the suitability of data representations and visual displays for different contexts
• Organise the presentation of data to reflect trends and correlations in a visually compelling way
• Use appropriate elements to create informative and dynamic data displays
3. The Data Model: Knowing the relationships and DAX
• Identify the elements of data dashboards
• Prepare basic dashboards and scorecards to display benchmark data
4. Creating Custom Visuals
• Apply interactive graphics, visuals and technical features into the data presentation
• Identify the types of information displays in Power BI
5. Storytelling with Data
• Interpret the data analysis and findings
• Share the limitations of data and interpretations of findings
Entry Requirements
• Age: Minimum 18 years old
• Minimum of GCE O levels academic qualification or Workplace Literacy and Numeracy (WPLN) score: Level 5 for Reading, Speaking, Listening, Writing and Numeracy
• At least 1 year of working experience
• Basic knowledge with computer software like Microsoft Excel