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Data Analysis: Getting Results with PowerBI
The Data Analysis: Getting Results with PowerBI course is designed to help learners transform raw data into actionable insights using Power BI. From importing data across multiple sources to creating interactive visuals and reports, this course walks you through each step with clarity. The curriculum explores slicers, combo charts, map visuals, decomposition trees, and advanced calculation techniques. It also introduces Power Query to restructure and prepare datasets effectively. Whether for business reporting or performance evaluation, this programme demonstrates how data analysis using Power BI can deliver meaningful results and improve decision-making across industries.
Overview
Picture yourself transforming endless rows of numbers into stories that speak clearly to colleagues, managers, or clients. The data analysis with Power BI course takes you from confusion to clarity, showing how to present findings in a way that sparks action. By weaving in Power BI data analysis examples, you’ll see how even complex information can be communicated through visuals that anyone can understand.
This journey begins with pulling data from multiple sources, then gradually expands into building charts, slicers, maps, and combo visuals. Each step demonstrates how data analysis using Power BI elevates your ability to answer business questions with confidence. As you progress, advanced features like the decomposition tree and custom calculations open the door to Power BI advanced analytics, revealing trends and patterns often hidden in spreadsheets.
By the end, you’ll not only know how to construct reports by year, quarter, or month but also how to deliver insights that stakeholders trust. This Power BI training provides a roadmap for anyone who wants to move beyond basic reporting and step into the realm of impactful storytelling. With the data analysis getting results with Power BI course, you won’t just learn functions—you’ll learn to inspire decisions through data presented in its most compelling form.
Learning outcome
- Apply data analysis using Power BI to create dynamic dashboards and visual reports.
- Combine multiple tables and restructure datasets using Power Query effectively.
- Build engaging visuals including combo charts, slicers, maps, and decomposition trees.
- Perform calculations such as percentages of totals and customised metrics.
- Design clear reports with Power BI advanced course features for professional decision-making.
Why should I take this course?
- Business analysts seeking to expand expertise with Power BI advanced analytics.
- Managers eager to translate company data into clear, visual insights.
- IT professionals exploring tools for corporate data analysis with Power BI.
- Graduates looking to strengthen employability with Power BI training.
- Finance and operations staff requiring strong reporting skills through data analysis using Power BI.
Career Path (UK Salary Ranges)
- Business Intelligence Analyst – £35,000 to £55,000
- Data Analyst – £30,000 to £50,000
- Power BI Developer – £40,000 to £65,000
- Reporting Analyst – £28,000 to £45,000
- Data Visualisation Specialist – £38,000 to £60,000
- Analytics Consultant – £45,000 to £70,000
Frequestly Asked Questions
Data analysis is the process of inspecting, cleaning, transforming and modelling data to uncover patterns, trends and insights that support better decision-making in business and research. It helps organisations understand customer behaviour, improve performance and make evidence-based decisions.
There are several types of data analysis, including:
– Descriptive analysis — summarises what has happened.
– Diagnostic analysis — explores why something happened.
– Predictive analysis — forecasts future trends.
– Prescriptive analysis — suggests actions based on data.
These methods help businesses and analysts uncover meaning and apply insights.
Popular data analysis tools include spreadsheet software (e.g., Excel), statistical tools (like R and SAS), visualisation platforms (like Tableau and Power BI), and programming languages such as Python. Many businesses also use analytics built into Google tools to track and interpret data.
Beginners should start by learning fundamental skills such as data collection, basic statistics, Excel functions, and data visualisation basics. Online courses, hands-on projects and tutorials on tools like Python or SQL can build confidence and practical skills over time.
Data analysis helps organisations identify trends in sales, customer behaviour, and operational performance, enabling them to forecast demand, optimise marketing strategies, improve products and reduce costs. It’s essential for turning raw data into actionable decisions.
Curriculum
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Module 01: Tour of the screen
00:04:00 -
Module 02: Pulling in your data from different sources
00:12:00
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Module 03: Creating your first Visual
00:09:00
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Module 04: Building a visual from 2 tables
00:08:00
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Module 05: Slicers
00:07:00
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Module 06: Making a Combo Chart Visual
00:06:00
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Module 07: Using PowerQuery to restructure the data
00:04:00
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Module 08: Creating Map Visuals
00:03:00
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Module 09: Creating a report by Year, Qtr, or Month
00:04:00
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Module 10: Calculating % of total
00:02:00
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Module 11: Creating your own Calculation
00:05:00
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Module 12: Decomposition Tree Visual
00:02:00
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Module 13: Pulling it all together
00:09:00
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Get Your CPD Certificate
00:01:00
Offer Ends in
All
Courses for £49-
Duration:1 hour, 16 minutes
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Access:1 Year
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Units:14
