Microsoft Excel Data Analysis: Become A Data Analysis Expert

Posted By: ELK1nG

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