Course Overview
Welcome to the Excel Power Query Comprehensive Training Course! This course is designed to provide you with a comprehensive understanding of Power Query, a powerful tool for data transformation and analysis. Whether you're a beginner or an advanced Excel user, this course will equip you with the skills and knowledge you need to extract, clean, transform, and analyse data effectively.
Course Objectives
By the end of this course, you will be able to:
Understand the fundamentals of Power Query and its role in data analysis
Connect to various data sources, including Excel files, text files, databases, and websites
Perform basic data transformations, such as filtering, sorting, and removing duplicates
Apply advanced data transformations, such as unpivoting, merging, and grouping
Create custom columns and functions to enhance data manipulation
Utilise Power Query's M formula language for complex data transformations
Automate data connections and refresh schedules for dynamic data updates
Integrate Power Query with Excel pivot tables and Power BI for data visualisation
Apply advanced data analysis techniques using Power Query
Employ best practices for data preparation and transformation
Gain a deep understanding of data modeling principles and apply them to Power Query
Effectively communicate data insights using data storytelling techniques
Prerequisites
This course assumes a basic understanding of Excel and data concepts. Prior experience with Power Query is not required.
Course Materials
Detailed step-by-step instructions for each topic
Real-world examples and case studies to illustrate key concepts
Downloadable exercise files and sample datasets
Pro tips and best practices for efficient Power Query usage
Engaging quizzes to assess your understanding of the material
Video scripts to support the creation of supplemental video tutorials
Intended Audience
This course is designed for a wide range of Excel users, from beginners to advanced users, who are interested in learning Power Query for data analysis and transformation. It is particularly beneficial for:
Business analysts and data analysts who need to analyse and report on data from various sources
Financial analysts who need to prepare and analyse financial data
Marketing analysts who need to track campaign performance and measure customer behaviour
Operational analysts who need to optimise processes and improve efficiency
Excel users who want to expand their skillset and enhance their data analysis capabilities
Course Structure
The course is divided into several modules, each covering a specific aspect of Power Query. Each module includes detailed explanations, hands-on exercises, challenges, and quizzes to reinforce your understanding.
Module 1: Introduction to Power Query
Discover the power of Power Query and its role in data analysis
Understand the benefits of using Power Query for data transformation
Explore the different Power Query interfaces and navigation tools
Module 2: Power Query Essentials
Connect to various data sources, including Excel files, text files, databases, and websites
Perform basic data transformations, such as filtering, sorting, and removing duplicates
Apply data types and formatting for consistent data representation
Identify and correct data errors to ensure data integrity
Module 3: Advanced Power Query Transformations
Unpivot and pivot data to restructure and analyse data effectively
Merge and combine data from multiple sources into a single dataset
Group and aggregate data to summarise and analyse key trends
Apply conditional columns to add logic and decision-making to data transformations
Module 4: Customising Power Query
Create custom columns using M functions to enrich and transform data
Utilise advanced M functions for complex data manipulation tasks
Develop reusable functions and queries to streamline data processing
Implement error handling techniques to ensure data integrity
Module 5: Power Query Automation
Automate data connections and refresh schedules for dynamic data updates
Create parameters to make queries adaptable to different scenarios
Utilise Power Query templates to standardise and streamline data analysis
Schedule Power Query tasks to run automatically at specific intervals
Module 6: Power Query and Excel Integration
Integrate Power Query with Excel pivot tables for data visualisation
Create interactive dashboards using Power Query and pivot tables
Utilise Power Query Data Models to store and manage data for analysis
Refresh pivot tables and charts based on updated Power Query data
Module 7: Power Query and Power BI
Connect Power Query to Power BI for comprehensive data analysis and visualisation
Utilise Power Query to import, clean, and transform data for Power BI analysis
Create interactive data visualisations and dashboards using Power BI
Apply data storytelling techniques to communicate insights effectively
Module 8: Advanced Data Analysis Techniques
Perform time series analysis to identify patterns and trends in time-dependent data
Utilise geospatial analysis to visualise and analyse data with spatial context
Employ scenario planning to model different outcomes based on assumptions
Apply advanced data
Module 9: Master Data Modeling with Power Query
Deepen your understanding of data modeling concepts and principles
Design and implement effective data models for complex data analysis
Optimise data models for performance and scalability
Utilise data modeling tools in Power Query to create and manage data models
Module 10: Data Storytelling with Power Query
Transform raw data into compelling data stories
Communicate insights effectively using data storytelling techniques
Craft engaging narratives using data visualisations and charts
Persuasively present data-driven findings to stakeholders
Module 11: Best Practices for Power Query
Employ best practices for data preparation and transformation
Ensure data quality and consistency throughout the data analysis process
Implement data governance strategies to maintain control over data assets
Utilise version control to track changes and manage data history
Module 12: Power Query Advanced Topics
Explore advanced Power Query features and functionalities
Utilise Power Query to connect to cloud-based data sources
Apply Power Query to extract data from websites using web scraping techniques
Integrate Power Query with Azure Machine Learning for predictive analytics
Register your interest today
To express your interest, please choose one of the following options:
Email us at sayhello@jixeltech.ltd with the subject line "Mastering Power Query"
Fill out the form provided below to register your interest.