Excel and Power BI are two powerful and popular tools that you can use to bring your data to life.
Everyone knows data is powerful, but what good is data if you can't make sense of it? Data visualisation is a key tool that can help you to better understand the information and trends in your data.
Excel and Power BI are two powerful and popular tools that you can use to bring your data to life. With Excel, you can create charts, graphs, and other visuals to make your data easier to understand. Power BI offers a comprehensive suite of data visualisation tools to help you analyse your data, develop insights, and share your findings with others. With these powerful tools, you can take your data and turn it into an asset that provides insight and drives decision making. Learn how to utilise Excel and Power BI to bring your data to life today!
Benefits of Using Excel and Power BI
Data visualisation is one of the best ways to present data and make it easy to understand. Data visualisation can help you to increase your understanding of the data and make better decisions based on that knowledge. If you are analysing data, it's important to be able to visualise it in a way that makes it easy to understand.
There are many different types of data visualisations that you can use to make your data easier to understand. These include graphs, charts, and timelines. When you use data visualisations, you are making it easier for others to understand your data. That's why they are so important. Another key benefit of data visualisation is that it makes it easier to spot trends and patterns in your data. When you visualise your data, you're making it easy to spot any changes or abnormalities that may appear in the data. Data visualisation is also great for helping you to identify any relationship between different data points. This is especially helpful when you're analysing data from different sources.
3 basic steps to help create an effective Data Visualisation
- Make sure that your data is clean, accurate, and relevant. You can clean the data by identifying any incorrect or missing data, and then fixing it.
- Choose the best chart or graph type for your data. There are many different chart and graph types that you can use to visualise data. It's important to choose the right one for your data.
- Ensure that your visualisations are visually appealing and easy to understand. You want to make sure that the visualisations are large enough so that they are easy to read. You also want to make sure that they are laid out in a way that makes sense and that they are easy to navigate through.
How to Create Visualisations in Excel
There are many different types of visualisations that you can create in Excel. You can use graphs, charts, and tables to visualise your data in different ways. Once you have your data, the next step is to decide how you want to visualise it. Once you know what type of visualisation you want to create, determining the data points and the formatting is easy.
There are many different chart and graph types that you can use to visualise your data in Excel.
You can easily create a chart or graph by selecting the data you want to visualise and pressing “F11” or "insert" followed by "chart" or "graph." Once you have the chart or graph open, you can easily customize it to match your needs and preferences.
How to Create Visualisations in Power BI
Power BI offers many different types of visualisations that you can use to visualise your data.
For example, you can use the various graphs and charts that are available in the tool to visualise your data in different ways. You can also use the other visualisations such as the timeline and table.
Once you have the data that you want to visualise, you can select the visualisation type you want to create and then select the data you want to visualise.
You then customise the visualisation to your preferences and needs.
Power BI offers many different types of visualisations that you can use to visualise your data and make it easy to understand.
Popular Excel Courses
In this course, you will use the advanced PivotTable functionality in Excel to analyze your raw data.
You will:
- Prepare data for PivotTable reporting and create PivotTables from various data sources.
- Analyze data by using PivotTables.
- Work with PivotCharts.
| Half day course |
Normally runs 14:00-22:00 |
Live online |
Can be run in person.
Contact us for details. |
In this course, you will analyze and visualize data using Microsoft Excel and associated tools. You will:
- Perform data analysis fundamentals.
- Visualize data with Excel.
- Analyze data with formulas and functions.
- Analyze data with PivotTables.
- Present visual insights with dashboards in Excel.
- Create geospatial visualization with Excel.
- Perform statistical analysis.
- Get and transform data.
- Model and analyze data with Power Pivot.
- Present insights with reports.
| 2 day course |
Normally runs 14:00-22:00 |
Live online |
Can be run in person.
Contact us for details. |
Popular Power BI Courses
This course covers the use of Power BI Desktop and the Power BI service hosted in Office 365 to identify core features, terminology and processes applicable when using reports or dashboards.
Delegates will learn:
- Power BI Concepts and Main Features
- How a report is created
- Navigating reports and dashboards
- How to apply filters and slicers
- To use Insights, Analytics and Natural Language Queries
| 1 day course |
Normally runs 14:00 to 22:00 |
Live Online |
Can be run in person.
Contact us for details. |
In this course, you will analyze data with Microsoft Power BI. You will:
- Analyze data with self-service BI.
- Connect to data sources.
- Perform data cleaning, profiling, and shaping.
- Visualize data with Power BI.
- Enhance data analysis by adding and customizing visual elements.
- Model data with calculations.
- Create interactive visualizations.
| 2 day course |
Normally runs 14:00 to 22:00 |
Live Online |
Can be run in person.
Contact us for details. |
After completing this course, you will be able to:
- Ingest, clean, and transform data
- Model data for performance and scalability
- Design and create reports for data analysis
- Apply and perform advanced report analytics
- Manage and share report assets
- Create paginated reports in Power BI
| 3 day course |
Normally runs 14:00 to 22:00 |
Live Online |
Can be run in person.
Contact us for details. |
View all our Data Analytics courses