The Excel Power Query and Power Pivot Training Course by Oxford Training Centre, under Data Science and Visualization, provides practical skills for transforming, analyzing, and managing large datasets using Microsoft Excel. The course focuses on Power Query and Power Pivot, covering data preparation, data modelling, the M language, relationships, calculated measures, and advanced pivot tables. Participants learn how to automate data transformation, build efficient analytical models, and create dynamic reports and dashboards for better business decision-making.
Objectives
- Understand the core concepts and applications of Power Query and Power Pivot.
- Import, clean, transform, and combine data from multiple sources.
- Develop effective data modelling structures in Excel.
- Learn essential techniques using the M language in Power Query.
- Create relationships between tables and build efficient data models.
- Develop calculated columns, measures, and KPIs using Power Pivot.
- Create advanced pivot tables and interactive analytical reports.
- Automate repetitive data preparation and reporting processes.
- Improve data analysis, visualization, and business reporting skills.
- Apply Excel-based analytics to real-world business datasets.
Target Audience
- Data analysts and business analysts
- Finance and accounting professionals
- Business intelligence professionals
- Reporting and MIS specialists
- Managers and team leaders
- Excel professionals and advanced Excel users
- Researchers and data professionals
- Professionals responsible for data preparation and reporting
Course Content
Module 1: Introduction to Power Query and Power Pivot
- Overview of Power Query and Power Pivot
- Key differences and complementary features
- Excel data analysis workflow
- Connecting to different data sources
- Understanding the Power Query and Power Pivot interface
Module 2: Data Importing and Transformation with Power Query
- Importing data from Excel, CSV, databases, and other sources
- Removing duplicates and errors
- Filtering, sorting, and restructuring datasets
- Splitting and merging columns
- Changing data types
- Combining and appending queries
Module 3: M Language Fundamentals
- Introduction to the M language
- Understanding Power Query formulas
- Creating custom transformations
- Working with functions and expressions
- Conditional logic and calculated fields
- Reusing and managing M code
Module 4: Advanced Power Query Techniques
- Query parameters
- Merging and appending multiple datasets
- Working with nested data
- Data cleansing and standardization
- Automating repetitive transformations
- Managing query dependencies and refresh processes
Module 5: Power Pivot and Data Modelling
- Introduction to Power Pivot
- Building effective data modelling structures
- Creating relationships between tables
- Fact and dimension tables
- Star schema concepts
- Managing large datasets efficiently
Module 6: DAX and Power Pivot Calculations
- Introduction to DAX
- Calculated columns and measures
- Aggregation functions
- Time intelligence concepts
- Creating KPIs
- Applying filters and evaluation contexts
Module 7: Advanced Pivot Tables and Data Analysis
- Creating advanced pivot tables
- Using calculated measures in PivotTables
- Grouping and filtering data
- Slicers and timelines
- Drill-down and interactive analysis
- Creating dynamic management reports
Module 8: Reporting, Dashboards, and Data Refresh
- Designing Excel analytical dashboards
- Connecting Power Query with Power Pivot
- Automating data refresh
- Presenting insights through charts and visualizations
- Best practices for professional Excel reporting
- Practical project and performance review
FAQs
1. What is the Power Query and Power Pivot Training Course?
It is a practical Excel training course focused on data transformation, modelling, analysis, reporting, and automation using Power Query and Power Pivot.
2. What will I learn about Power Query?
You will learn how to import, clean, transform, combine, and automate data from multiple sources using Power Query and the M language.
3. Does the course cover data modelling?
Yes. The course covers data modelling, table relationships, fact and dimension tables, and efficient analytical data structures.
4. Will I learn how to create advanced pivot tables?
Yes. Participants learn to create and customize advanced pivot tables, slicers, timelines, measures, and interactive reports.
5. Who should attend this course?
The course is suitable for data analysts, business analysts, finance professionals, reporting specialists, managers, researchers, and advanced Excel users.
6. Is the course practical?
Yes. The training emphasizes practical exercises, real-world datasets, data transformation, modelling, analysis, and professional reporting.