Data Analytics Success

By the end of this course, participants will be able to:
• Understand What Drives a Successful Data Analytics Project: Learn the key factors for delivering effective data analytics initiatives, from project planning and stakeholder engagement to execution and impact measurement.
• Apply Data Analytics Best Practices: Implement processes, tools, roles, responsibilities, collaboration strategies, and risk & expectation management to build effective and sustainable data programs.
• Improve Data Analytics Literacy: Gain the skills to confidently understand, interpret, and utilise data, empowering smarter, more informed decision-making that drives business success.
• Harness Analytics Tools for Business Impact: Leverage leading data analytics tools to answer critical business questions, extract meaningful insights, and support data-driven decision-making.
• Master Storytelling with Data: Learn to create clear, compelling data-driven narratives that not only present insights but drive action and decision-making.
• Enhance Critical Thinking for Data Interpretation: Develop the ability to recognise biases, misleading statistics, and data pitfalls, ensuring accurate and reliable conclusions.
• Understand Ethical Considerations in Data Analytics: Gain awareness of bias in AI models, responsible data use, and compliance frameworks, ensuring ethical and transparent analytics practices.
• Enhance Communication & Collaboration: Learn to create clear, impactful visualisations and present data-driven narratives that influence stakeholders and foster cross-functional and intergenerational collaboration.

Day 1: Intro to Data Analytics & Literacy
• Lesson 1:
o The data world.
o The crowded vendor spaces.
o Generative AI, its implications and implementation challenges.
• Lesson 2:
o Modern Data Analytics Use Case approaches.
o Delivery Methodology & Collaboration
• Lesson 3:
o Modern Data Architectures
o Microsoft Analytics Technology Stack
o Microsoft Power BI
o Microsoft Power BI Service
• Demo of Final Project dashboards
• Group & Individual Exercise
o What is the right business Question?
o What expertise & Team do you need?

Day 2: Generative AI and Data
• Lesson 1:
o Power BI Power Query
o Clean your data.
o Using visuals to assess data quality.
• Lesson 2:
o What to look for in your data with Power BI
o Transform your data in Power BI – creating your analytical base table (ABT)
o Classified and Unclassified data.
• Group & Individual Exercise
o Load your data. – incl. Demo by tutor
o What visuals would you use to describe your data in Power BI?

Day 3: Get to know your data
•Lesson 1
o Business to Data Understanding
o Initial statistical investigative techniques
o Business Question to model mapping
• Lesson 2:
o What can Power BI do?
o What can Power BI not do?
o Using analytical visualisations
• Group & Individual Exercise:
o Load more data in Power BI! – incl. Demo by tutor
o Choose your analytical models
o Present your analytical models

Day 4: Present your data
• Lesson 1:
o Know your audience!
o Preparing your data to present to your audience.
o What insight can your data give?
o What action do you want your audience to take?
• Group and Individual Exercise:
o Load New data to Power BI – incl. Demo by tutor
o Agree the business question.
o Assess the data.
o Present your analysis!

Day 5: Presentation Day

This course requires commitment to fully engage with the material and maximise learning. Participants must have Power BI Desktop (at least the trial version) installed on their laptop. A familiarity with Excel and Power BI is required.

In advance, attendees will receive a curated list of industry white papers, pre- requisite webinars to provide essential background knowledge. and a Power BI tutorial link all of which should be reviewed before the course.

More bespoke expert level workshops and project mentorship are available on request.

Expleo Academy is happy to discuss your specific training needs to advise on your optimal learning pathway.
Course Outline

This course is designed for technical and non-technical professionals, who already have a good grounding in data analytics and want to be active participants in their company’s data-driven decision making. Whether you’re eager to work hands-on with data or love diving deep into analytics with Power BI, this course will equip you with the skills to turn data into actionable insights.