Everand Logo

Welcome to Everand!

  • Discover millions of ebooks, audiobooks, and so much more with a free trial

    From $11.99/month after trial. Cancel anytime.

    Hallo Microsoft Excel: Mastering Data Analytics
    Hallo Microsoft Excel: Mastering Data Analytics
    Hallo Microsoft Excel: Mastering Data Analytics
    Ebook406 pages1 hour

    Hallo Microsoft Excel: Mastering Data Analytics

    By Agus Kurniawan

    ()

    Read preview

    About this ebook

    Dive into the world of data analytics with Hallo Microsoft Excel: Mastering Data Analytics, a comprehensive guide designed to unlock the full potential of Microsoft Excel as a powerful tool for data analysis. From the basics of data entry and formatting to the complexities of dynamic reports and dashboards, this book demystifies Excel's most advanced features, making them accessible to analysts, data enthusiasts, and professionals seeking to enhance their analytical skills. Through a series of hands-on labs and real-world scenarios inspired by discussions from a vibrant online community, readers will learn to navigate Excel's intricate functionalities with ease and confidence.

    Hallo Microsoft Excel: Mastering Data Analytics takes you on a journey through the art of data visualization, conditional formatting, growth analysis, and beyond, offering practical instructions and expert tips every step of the way. Whether you're analyzing sales data, exploring market trends, or creating compelling visual reports, this book provides the insights and step-by-step guidance needed to transform raw data into actionable insights. By leveraging Excel's capabilities for interactive reporting, you'll discover how to present data that speaks volumes, making complex analyses understandable and engaging for any audience.

    Designed with the reader in mind, this book bridges the gap between theoretical knowledge and practical application, ensuring you can apply Excel's data analytics capabilities to your real-world challenges immediately. Hallo Microsoft Excel: Mastering Data Analytics is not just a manual; it's a transformational tool that empowers you to make informed decisions based on robust data analysis. Whether you're a novice eager to learn or a seasoned professional looking to refine your skills, this book is an essential resource for anyone ready to harness the power of Excel for data analytics.

    LanguageEnglish
    PublisherIlmu Data
    Release dateFeb 17, 2024
    ISBN9798224559312
    Hallo Microsoft Excel: Mastering Data Analytics

    Read more from Agus Kurniawan

    Related to Hallo Microsoft Excel

    Related ebooks

    Computers For You

    View More
    View More

    Related podcast episodes

    Related articles

    Related categories

    Reviews for Hallo Microsoft Excel

    0 ratings

    0 ratings0 reviews

    What did you think?

    Tap to rate

    Review must be at least 10 words

      Book preview

      Hallo Microsoft Excel - Agus Kurniawan

      Preface

      Welcome to Hallo Microsoft Excel: Mastering Data Analytics, a comprehensive guide designed to transform beginners into proficient users of Excel’s most powerful data analysis tools. This book unfolds the vast capabilities of Excel, a cornerstone in the modern analytical toolkit, guiding you through intricate functionalities with a clear, accessible approach. Drawing from real-world scenarios and hands-on labs discussed in this forum, it provides a practical roadmap for navigating the complexities of data analytics, visualization, and reporting within Excel.

      Throughout these pages, you will embark on a journey that covers everything from foundational concepts and formulas to advanced techniques like dynamic reports, dashboards, and What-If Analysis. Each chapter is crafted with the intent to demystify Excel’s intricate features, making them approachable and applicable to your daily tasks and long-term projects. Whether you’re analyzing sales data, exploring market trends, or creating compelling visual reports, this book offers the insights and step-by-step guidance needed to leverage Excel’s full potential.

      Hallo Microsoft Excel: Mastering Data Analytics is more than just a manual; it’s a companion in your journey towards becoming a data analytics expert. By incorporating lessons from this discussion board, the book ensures that readers can tackle real-world challenges, making data-driven decisions with confidence. Let’s dive into the world of Excel together, unlocking the secrets to transforming raw data into actionable insights.

      Agus Kurniawan

      Depok, February 2024

      Acknowledgments

      A heartfelt thank you to the community of developers, contributors, and technology enthusiasts whose feedback and insights have been invaluable in shaping this book.

      As you turn these pages, I hope you find Hallo Microsoft Excel: Mastering Data Analytics not only informative but also inspiring, opening new avenues for your creativity and innovation in the world of data analytics

      1 Preparing for Excel Data Analytics

      In today’s data-driven world, Excel remains a powerhouse for data analysis. Its ability to integrate with SQL Server and Power Platform (part of Office 365) provides a formidable toolset for analysts. This guide covers the steps and considerations for preparing data in Excel for advanced analytics, drawing on the strengths of SQL Server and Power Platform.

      1.1 Understanding Your Data Sources

      SQL Server

      Robust and Scalable: SQL Server offers a robust platform for managing large volumes of data.

      Structured Data: It is ideal for structured data, stored in tables with defined relationships.

      Security and Reliability: Known for its security features and reliability in data management.

      Power Platform

      Integration Across Office 365: Power Platform, including Power BI, Power Apps, and Power Automate, integrates seamlessly with Office 365.

      Data Visualization and Automation: Power BI excels in data visualization, while Power Automate streamlines data workflows.

      Accessible and Collaborative: Offers cloud-based accessibility and collaboration features.

      2. Connecting Excel to SQL Server

      Data Import: Use Excel’s native capabilities to import data directly from SQL Server. This can be done via ‘Get Data’ under the Data tab.

      Queries and Reporting: Excel allows for SQL queries to be run on imported data for customized reporting.

      3. Leveraging Power Platform with Excel

      Power BI for Visualization: Utilize Power BI for advanced data visualization. Excel data can be imported into Power BI for creating interactive reports and dashboards.

      Power Automate for Data Workflow: Automate data collection and reporting processes using Power Automate, integrating Excel with other Office 365 applications.

      4. Data Preparation in Excel

      Cleaning Data: Utilize Excel functions and Power Query to clean and structure data. This includes removing duplicates, fixing errors, and standardizing formats.

      Data Transformation: Transform data into a suitable format for analysis. This might involve pivoting, merging, or aggregating data.

      5. Advanced Analysis Techniques

      PivotTables and PivotCharts: Use these for summarizing and analyzing large datasets in Excel.

      What-If Analysis: Explore Excel’s what-if analysis tools for forecasting and decision making.

      Excel Functions: Utilize advanced Excel functions for statistical and financial analysis.

      6. Collaboration and Sharing

      Office 365 Integration: Leverage the collaboration features of Office 365 to share and collaborate on Excel workbooks.

      Version Control: Ensure version control and data integrity when multiple users access the same workbook.

      The combination of Excel, SQL Server, and Power Platform offers a comprehensive toolkit for data analytics. From data preparation to advanced analysis and collaboration, these tools empower analysts to derive meaningful insights from data. Embracing these technologies in your analytics workflow can significantly enhance the efficiency and effectiveness of your data-driven decisions.

      1.2 Exercise 1: Setting up SQL Server Data Source

      In this exercise, we will set up a SQL Server data source for use in Excel. This will involve creating a database in SQL Server and importing data into it. We will then connect Excel to this database and import data into Excel.

      We will be using the AdventureWorks database for this exercise. This is a sample database provided by Microsoft for learning purposes. Here’s a structured approach to design this lab:

      1.2.1 Objective

      To provide practical experience in extracting, transforming, and analyzing data from SQL Server using the AdventureWorks and AdventureWorksDW databases, and then presenting findings in Excel.

      1.2.2 Prerequisites

      Basic knowledge of SQL and Excel.

      SQL Server installed on the computer.

      Excel installed on the computer.

      Access to the internet to download database backups.

      1.2.3 Lab Setup:

      Download Database Backups:

      Visit the provided GitHub link: SQL Server Samples, https://github.com/microsoft/sql-server-samples/releases/tag/adventureworks.

      Download the backup files for AdventureWorks and AdventureWorksDW.

      You can download the full database based on your SQL Server version or the backup files.

      Recommended:

      Download AdventureWorks2019.bak and AdventureWorksDW2019.bak for SQL Server 2019.

      Download AdventureWorks2022.bak and AdventureWorksDW2022.bak for SQL Server 2022.

      1.2.4 Restore Databases in SQL Server:

      AdventureWorks and AdventureWorksDW:

      Put the downloaded backup files in a folder on your computer. Recommended: C: or any folder that is easy to access and SQL Server has access to.

      For Demo, I have SQL Server 2019 Developer Edition installed on my computer.

      AdventureWorks backup file: AdventureWorks2019.bak

      AdventureWorksDW backup file: AdventureWorksDW2019.bak

      Restore Databases in SQL Server:

      Open SQL Server Management Studio (SSMS).

      Figure 1.1: Open SQL Server Management Studio.

      Figure 1.1: Open SQL Server Management Studio.

      Connect to your SQL Server instance.

      Right-click on the Databases folder and choose Restore Database.

      Figure 1.2: Restore Database.

      Figure 1.2: Restore Database.

      We will get a new window to restore the database.

      Figure 1.3: A dialog of Restore Database.

      Figure 1.3: A dialog of Restore Database.

      Select Device and click on the … button.

      We will get a new window to select the backup file.

      Select File and click on the Add button.

      Select the backup file.

      Figure 1.4: Select the backup file.

      Figure 1.4: Select the backup file.

      Click on the OK button.

      Figure 1.5: Backup database.

      Figure 1.5: Backup database.

      Click on the OK button again.

      You will see database restore progress.

      Once the restore is completed, you will see the database in the Databases folder.

      Figure 1.6: Restored Database on SQL Server.

      Figure 1.6: Restored Database on SQL Server.

      Now that we have restored the AdventureWorks and AdventureWorksDW databases, we can connect Excel to these databases and import data into Excel.

      2 Data Source Integration

      2.1 What is Data Source Integration in Excel?

      Data source integration in Excel refers to the process of connecting Excel to various data sources, such as databases, online services, or other data files, and importing data into Excel for analysis, manipulation, and visualization. This integration allows users to leverage Excel’s powerful tools for data analysis on diverse datasets from multiple sources.

      2.2 Why is Data Source Integration Important in Excel?

      Enhanced Data Analysis: By integrating data from various sources, analysts can perform more comprehensive data analysis, leading to more informed decision-making.

      Time Efficiency: It automates the process of data collection, reducing the time spent on manual data entry.

      Real-time Data Access: Integration with live data sources ensures that the most current data is available for analysis.

      Scalability and Flexibility: Excel can handle large datasets from multiple sources, making it a scalable tool for data analysis.

      Data Accuracy: Directly importing data into Excel minimizes the risk of errors that can occur with manual data entry.

      Advanced Reporting: Integration allows

      Enjoying the preview?
      Page 1 of 1
      pFad - Phonifier reborn

      Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

      Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


      Alternative Proxies:

      Alternative Proxy

      pFad Proxy

      pFad v3 Proxy

      pFad v4 Proxy