# Data Analysis with Microsoft Excel       Welcome to the Data Analysis with Microsoft Excel course! This comprehensive program is designed to provide you with a deep understanding of Excel's data analysis capabilities. Through a series of modules, you will explore Excel's features and functions, learn how to manipulate and analyze data effectively, and gain the skills needed to become a proficient data analyst.

#### Course Goals:

1. Develop a strong foundation in Excel's data analysis capabilities.
2. Master essential Excel functions, formulas, and charting techniques.
3. Gain proficiency in data manipulation, summarization, and visualization using PivotTables.
4. Learn advanced data analysis techniques with Power Query and Power Pivot.
5. Apply your knowledge to real-world scenarios and become a proficient data analyst using Microsoft Excel.

#### Course Objectives:

By the end of this course, you will:

1. Understand the fundamental properties of Excel and its role in data analysis.
2. Perform basic arithmetic operations and effectively enter data and formulas in Excel.
3. Utilize various Excel functions for counting, adding, and performing calculations on data.
4. Create dynamic charts and effectively format them for data visualization.
5. Build summary reports using functions like count, sum, average, min, and max.
6. Utilize advanced tools like PivotTables and Pivot Charts for in-depth data analysis and reporting.
7. Clean, transform, and manipulate data using Power Query.
8. Master Power Pivot for advanced data modeling and analysis.
9. Apply your skills to real-world data analysis scenarios and gain practical experience.

Module 1: Introduction to Excel

• Understand the properties of Excel and become familiar with basic arithmetic operations.
• Learn how to enter data and formulas, use relative and absolute referencing, and format numbers.
• Explore page setup options, worksheet management, and time-saving shortcuts.

Module 2: Excel's Golden Rule for Formulas, Formula Input & Chart

• Discover the power of Excel's formulas and their application in data analysis.
• Learn how to create and format different chart types to visualize data effectively.

Module 3: Counting & Adding Operation in Excel

• Master essential functions for counting and adding data in Excel.
• Explore functions like Count, Count A, CountIf, Sum, Sumif, Sumifs, Average, AverageIf, and AverageIfs for comprehensive data analysis.

Module 4: Excel Calculation for Data Analysis

• Learn how to create summary reports using functions like count, sum, average, min, and max.
• Understand the importance of proper data sets and utilize functions like SumIfs, PivotTables, and Pivot Charts for regional report analysis.
• Gain expertise in formatting Pivot Tables and explore the difference between raw data and valuable information in data analysis.

Module 5: Data Analysis with Excel

• Perform logical test operations and understand the difference between ranges and tables in Excel.
• Master sorting, filtering, and alignment techniques for efficient data analysis.
• Discover default data alignment and learn best practices for data organization.

Module 6: Data Analysis Operations

• Build cross-tabulated reports using PivotTables and create dynamic dashboards.
• Summarize values in a PivotTable using different aggregate functions.
• Utilize slicers to filter PivotTables and present data as percentages.
• Explore various functions available in PivotTables and understand the difference between facts and dimensional tables.
• Perform VLookUp operations for data retrieval and analysis.

Module 7: Data Analysis with Power Query

• Discover the capabilities of Power Query for data analysis.
• Import different data types into Power Query and learn how to clean and transform data effectively.
• Load data into Excel worksheets and utilize Power Query for advanced data manipulation.
• Perform operations such as pivoting, un-pivoting, arithmetic calculations, merging and appending queries, and changing data types.
• Gain proficiency in VLOOKUP operations within Power Query.

Module 8: Data Analysis with Power Pivot & Data Modeling

• Create Power Pivot tables to manage and analyze large datasets.
• Establish diagram relationships between tables to facilitate data modeling.
• Perform advanced calculations and operations within Power Pivot. 