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    Microsoft Excel : Mastering Data Analysis with Pivot Table

    Posted By: lucky_aut
    Microsoft Excel : Mastering Data Analysis with Pivot Table

    Microsoft Excel : Mastering Data Analysis with Pivot Table
    Published 6/2024
    Duration: 2h12m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.09 GB
    Genre: eLearning | Language: English

    You'll learn everything - Become proficient in creating, customizing, and analyzing data with Pivot Tables.


    What you'll learn
    Overview of Pivot Tables and Advantages
    Understanding the Structure of Pivot Tables
    Importing Data into Excel
    Using External Data Sources for Pivot tables
    Filtering and Sorting Pivot Table Data
    Grouping Data in Pivot Tables
    Customizing Pivot Table Calculations
    Using Pivot Table Options for Advanced Customization
    Customizing Pivot Charts for Effective Visualization
    Generating Reports and Dashboards with Pivot Tables
    Best Practices for Using Pivot Tables in Various Scenarios
    Troubleshooting Common Issues and Errors



    Requirements
    No Prior Experience Required

    Description
    Master the art of data analysis in Microsoft Excel with this comprehensive course focused on Pivot Tables. Whether you're a data analyst, business professional, or Excel enthusiast, understanding how to leverage Pivot Tables is essential for making informed decisions and deriving valuable insights from your data. In this course, you'll learn everything you need to know to become proficient in creating, customizing, and analyzing data with Pivot Tables. From basic functionalities to advanced techniques, each section is carefully crafted to provide a step-by-step guide to mastering Pivot Tables for effective data analysis.
    Course Outline:
    Module 1: Introduction to Pivot Tables
    Overview of Pivot Tables and their Advantages
    Understanding the Structure of Pivot Tables
    Basic Terminology and Concepts
    Module 2: Creating Pivot Tables
    Importing Data into Excel
    Using External Data Sources for Pivot tables
    Module 3: Pivot Table Basics
    Row Labels, Column Labels, and Values
    Filtering and Sorting Pivot Table Data
    Grouping Data in Pivot Tables
    Module 4: Pivot Table Calculations
    Summarizing Data with Functions (Sum, Count, Average, etc.)
    Calculated Fields and Items
    Customizing Pivot Table Calculations
    Module 5: Advanced Pivot Table Techniques
    Slicers and Timelines for Interactive Analysis
    Using Pivot Table Options for Advanced Customization
    Module 6: Pivot Charts
    Creating Pivot Charts from Pivot Tables
    Customizing Pivot Charts for Effective Visualization
    Module 7: Data Analysis and Reporting
    Applying Pivot Tables for Data Analysis Tasks
    Generating Reports and Dashboards with Pivot Tables
    Module 8: Case Studies and Practical Applications
    Real World Examples and Case Studies
    Best Practices for Using Pivot Tables in Various Scenarios
    Module 9: Optimization and Performance
    Tips for Handling Large Datasets
    Troubleshooting Common Issues and Errors
    Why take this course?
    Apply your newfound skills by working on real-world projects throughout the course.
    Enjoy a flexible learning experience with bite sized video lectures, clear explanations.
    Stay ahead of the curve with lifetime access to the course content and any future updates on Microsoft Office.
    No prior experience needed! We'll guide you through everything step by step.
    Take your skills to the next level by exploring advanced functionalities within each application.
    By the end of this course, you'll have the skills and confidence to unleash the full potential of Pivot Tables for data analysis in Excel. Whether you're analyzing sales data, financial reports, or survey responses, Pivot Tables will empower you to transform raw data into actionable insights. Enroll now and take your Excel data analysis skills to the next level with Pivot Tables!
    Who this course is for:
    Anyone Looking to Improve their Productivity by Mastering MS Office

    More Info