Excel Syllabus

Abhilash Jose
Abhilash Jose  - Data Science Specialist
3 Min Read

Beginner Level

1. Introduction to Excel

  • Overview of Excel
    • Understanding the Excel interface
    • Introduction to workbooks, worksheets, and cells

2. Basic Excel Functions

  • Data Entry and Formatting
    • Entering data and basic formatting options (font, color, alignment)
  • Basic Functions
    • Using basic formulas (SUM, AVERAGE, COUNT, MIN, MAX)
    • Understanding cell references (relative, absolute, mixed)

3. Data Organization

  • Sorting and Filtering Data
    • Sorting data in ascending and descending order
    • Using filters to display specific data
  • Conditional Formatting
    • Highlighting cells based on criteria

4. Introduction to Charts

  • Creating Basic Charts
    • Bar charts, line charts, and pie charts
    • Customizing chart elements (titles, legends, colors)

5. Data Validation

  • Data Entry Control
    • Setting up data validation rules to restrict data entry
    • Creating drop-down lists for data entry

Intermediate Level

1. Advanced Functions

  • Logical Functions
    • Using IF, AND, OR, NOT functions
  • Lookup Functions
    • Using VLOOKUP, HLOOKUP, INDEX, and MATCH

2. Working with Multiple Sheets

  • Managing Multiple Worksheets
    • Linking data between worksheets
    • Consolidating data from multiple sheets

3. Pivot Tables

  • Creating Pivot Tables
    • Understanding how to create and manipulate pivot tables
    • Using pivot charts for data visualization
  • Grouping and Filtering in Pivot Tables
    • Grouping data by categories or time frames

4. Data Analysis Tools

  • Introduction to What-If Analysis
    • Using Goal Seek and Scenario Manager
  • Basic Statistical Functions
    • Understanding basic statistics functions (STDEV, MEDIAN, QUARTILE)

5. Introduction to Macros

  • Recording and Running Macros
    • Basics of creating and using macros for automation

Advanced Level

1. Advanced Data Analysis

  • Complex Formulas
    • Using array formulas and advanced functions
  • Statistical Analysis
    • Conducting regression analysis and correlation analysis
    • Understanding and using the Analysis ToolPak

2. Advanced Pivot Tables

  • Calculated Fields and Items
    • Creating calculated fields within pivot tables
    • Analyzing data with slicers and timelines

3. Dashboard Creation

  • Building Interactive Dashboards
    • Combining multiple data visualizations into a dashboard
    • Using form controls for interactivity

4. Power Query and Power Pivot

  • Data Transformation with Power Query
    • Importing and cleaning data from different sources
  • Data Modeling with Power Pivot
    • Creating relationships between tables and using DAX (Data Analysis Expressions)

5. VBA Programming

  • Introduction to VBA
    • Understanding the basics of VBA for Excel
    • Writing simple VBA scripts to automate tasks

6. Data Visualization Techniques

  • Advanced Charting Techniques
    • Creating complex charts (waterfall, Gantt, sparklines)
    • Best practices for data visualization in Excel

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By Abhilash Jose Data Science Specialist
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Abhilash Jose is a data science specialist from India. He specializes in data analysis and is well-known for his expertise in areas such as machine learning and statistical modeling. His skills encompass a wide range of techniques, including data mining, predictive modeling, and data visualization.
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