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    Microsoft Excel Data Analysis: Become A Data Analysis Expert

    Posted By: ELK1nG
    Microsoft Excel Data Analysis: Become A Data Analysis Expert

    Microsoft Excel Data Analysis: Become A Data Analysis Expert
    Published 5/2025
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 1.31 GB | Duration: 3h 21m

    Unlock Excel’s full power to clean, analyze, and visualize data—no experience needed to become a data expert!

    What you'll learn

    Overview of Data Analysis Concepts

    Introduction to Excel Data Types and Structures

    Sorting and Filtering Data

    Data Validation Techniques

    Using Text Functions for Data Cleaning (TRIM, SUBSTITUTE, CLEAN)

    Descriptive Statistics in Excel (Mean, Median, Mode)

    Conditional Formatting for Data Insights

    Using Excel Tables for Dynamic Data Analysis

    Analyzing Data with Excel's Data Analysis Toolpak

    Advanced Pivot Table Techniques (Calculated Fields, Slicers)

    Performing Statistical Analysis (Regression, Correlation, ANOVA)

    Advanced Charting Techniques (Combo Charts, Dynamic Charts)

    Building Interactive Dashboards with Excel

    Introduction to Excel Macros for Data Analysis

    Automating Reports with VBA

    Requirements

    No Prior Microsoft Excel Knowledge Required

    Description

    Do you want to become an Excel data analysis expert and turn raw data into valuable insights? Whether you're a beginner or looking to sharpen your analytical skills, this course is your complete guide to mastering data analysis using Microsoft Excel.In this hands-on course, you’ll learn how to use Excel's most powerful tools and functions to organize, analyze, and visualize data like a pro. From data cleaning and sorting to creating dynamic dashboards and PivotTables, you'll gain real-world skills that apply to business, finance, marketing, and more.With step-by-step tutorials and practical examples, you'll quickly build confidence and learn how to make smarter, data-driven decisions using Excel.What you’ll learn:Overview of Data Analysis Concepts Introduction to Excel Data Types and Structures Sorting and Filtering Data Data Validation Techniques Using Text Functions for Data Cleaning (TRIM, SUBSTITUTE, CLEAN)  Handling Duplicates and Missing Data Descriptive Statistics in Excel (Mean, Median, Mode) Using Excel Functions for Basic Data Summarization (SUM, COUNT, AVERAGE)  Introduction to Pivot Tables and Pivot Charts Conditional Formatting for Data Insights Advanced Filtering and Sorting Techniques Lookup and Reference Functions for Data Analysis (VLOOKUP, HLOOKUP, INDEX, MATCH)  Using Excel Tables for Dynamic Data Analysis Analyzing Data with Excel's Data Analysis Toolpak Advanced Pivot Table Techniques (Calculated Fields, Slicers)  Performing Statistical Analysis (Regression, Correlation, ANOVA)  Introduction to Power Pivot for Data Modeling Creating and Customizing Charts and Graphs Using Sparklines and Data Bars for Quick Insights Advanced Charting Techniques (Combo Charts, Dynamic Charts)  Building Interactive Dashboards with Excel Introduction to Excel Macros for Data Analysis Automating Reports with VBA Using Solver for Optimization Problems Scenario Analysis and What-If Analysis By the end of this course, you’ll be confident in using Excel to make data-driven decisions, create insightful reports, and solve complex problems with ease.Enroll now and start your journey to becoming a Microsoft Excel Data Analysis Expert!

    Overview

    Section 1: Introduction to Data Analysis with Excel

    Lecture 1 Overview of Data Analysis Concepts

    Lecture 2 Introduction to Excel Data Types and Structures

    Section 2: Data Management and Cleaning

    Lecture 3 Sorting and Filtering Data

    Lecture 4 Data Validation Techniques

    Lecture 5 Using Text Functions for Data Cleaning (TRIM, SUBSTITUTE, CLEAN)

    Lecture 6 Handling Duplicates and Missing Data

    Section 3: Basic Data Analysis Techniques

    Lecture 7 Descriptive Statistics in Excel (Mean, Median, Mode)

    Lecture 8 Using Excel Functions for Basic Data Summarization (SUM, COUNT, AVERAGE)

    Lecture 9 Introduction to Pivot Tables and Pivot Charts

    Lecture 10 Conditional Formatting for Data Insights

    Section 4: Intermediate Data Analysis

    Lecture 11 Advanced Filtering and Sorting Techniques

    Lecture 12 Lookup and Reference Functions for Data Analysis (VLOOKUP, HLOOKUP, INDEX, MATCH

    Lecture 13 Using Excel Tables for Dynamic Data Analysis

    Lecture 14 Analyzing Data with Excel's Data Analysis Toolpak

    Section 5: Advanced Data Analysis Techniques

    Lecture 15 Advanced Pivot Table Techniques (Calculated Fields, Slicers)

    Lecture 16 Performing Statistical Analysis (Regression, Correlation, ANOVA)

    Lecture 17 Introduction to Power Pivot for Data Modeling

    Section 6: Data Visualization

    Lecture 18 Creating and Customizing Charts and Graphs

    Lecture 19 Using Sparklines and Data Bars for Quick Insights

    Lecture 20 Advanced Charting Techniques (Combo Charts, Dynamic Charts)

    Lecture 21 Building Interactive Dashboards with Excel

    Section 7: Automating Data Analysis with Excel

    Lecture 22 Introduction to Excel Macros for Data Analysis

    Lecture 23 Automating Reports with VBA

    Lecture 24 Using Solver for Optimization Problems

    Lecture 25 Scenario Analysis and What-If Analysis

    Anyone interested in becoming a proficient user of Microsoft Excel Data Analysis,Who are looking to efficiently analyze large data sets,Who want to create dynamic dashboard reports.,Everyone who wants to master Excel Dashboards