Live instructor-led training
BI and Data Analysis using Excel Power Tools
- CMDBID 1127
- Course Code MEXBIDPTC
- Duration 3 Days
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Course content
What you will learn
Overview
BI and Data Analysis using Excel Power Tools is a practical training course for teams that need structured, instructor-led skills in Data Analysis, Excel Power Tools Module, What.
Microsoft Excel is a popular application when it comes to data analysis. Excel is equipped with built-in data power tools, which include PivotTables, Power Query and PowerPivot.
This course is designed to explore a combination of new and revised data tools and features found in Microsoft Excel and is aimed at anyone who needs to work with Excel to connect to, arrange, prepare, process, analyse and display data to produce suitable output and views of data for use at all levels within an organisation.
Audience
- Understand the concepts of data
- Import and connect to data
- Prepare data using Power Query Editor
- Connect to and model data using Power Pivot
- Use DAX formulas in Power Pivot to analyse data
- Visualise and present data using PivotTables, PivotCharts and conditional formatting
Skills Gained
By completing the BI and Data Analysis using Excel Power Tools QAEXBIDPTC course participants will gain practical knowledge, configuration skills, implementation techniques and best practice understanding relevant to real enterprise environments.
Prerequisites
Delegates must be existing Excel users who have attended our Excel Advanced (EXADVC) course or have a similar level of knowledge and are able to:
- Create, format, and save worksheets and workbooks
- Create formulas using standard aggregate functions such as SUM, AVERAGE and COUNT
- Experience of working with list related tools and features such as sorting and filtering would be beneficial
- Create and modify PivotTables
NOTE: This course is suitable for users of Excel 2016, 2019, 2021 and 365 only.
Outline
Module 1: What is data?
- Different types of data
- Types of analysis
- Excel's data tools
- Data analysis framework
Module 2: Connecting to data sources
- Working with common data sources
- Importing and connecting to data
- Working with queries and connections
Module 3: Transforming data using Power Query Editor
- Query Editor overview
- Power Query data types
- Combining data sources
- Cleaning and shaping data
- Creating calculated columns
Module 4: Data modelling with Power Pivot
- Introduction to Power Pivot
- Getting data into the Data Model
- Creating and editing data relationships in Power Pivot
Module 5: Analysing data using DAX in Power Pivot
- DAX fundamentals
- Creating calculated columns
- Creating measures
- Working with date tables
Module 6: PivotTables
- PivotTables overview
- Using the Data Model to create PivotTables
- Dynamic filters with Slicers and Timelines
Module 7: Visualising data
- PivotCharts
- Hierarchies and drilling
- Other visualisation types
- Conditional formatting
- KPIs
Certification
Exam and certification details
This course may support a vendor exam, digital badge or professional certification depending on the selected delivery option. Delegates should confirm exam inclusion, voucher availability, prerequisites, pass mark and version before booking.
Official vendor training information: CourseMonster vendor-authorised training.
Continue your learning pathway: view all Microsoft courses or compare related courses and follow-on options.
Talk to an expert
Thinking about Onsite?
If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. It's a cost-effective option. One-to-one training can be delivered too, at reasonable rates.
Submit an enquiry from any page on this site and let us know you are interested in the requirements box, or simply mention it when we contact you.
All $ prices are in USD unless it’s a NZ or AU date
SPVC = Self Paced Virtual Class
LVC = Live Virtual Class
Please note: All courses are available as Live Virtual Classes
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