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
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