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Excel Power Query Comprehensive Training Course

Updated: Nov 27, 2023


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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.



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