Best Advanced Excel Training Course in Kerala

A Whole Guide to Excel Master Class : Learn skills that are in demand and become equipped for work in Kerala.

What you'll learn

Do you spend countless hours wrestling with spreadsheets? Our Excel Master Class empowers you to transform from a spreadsheet novice to a data analyst pro!

Whats Material Includes?

Hello! Excel Master Class

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Course Syllabus:

1: Getting Started with Excel:

Lesson 1: Introduction to Microsoft Excel

An overview of Microsoft Excel as a spreadsheet application
Understanding the importance of Excel in data management, analysis, and visualization

Lesson 2: Excel Interface and Navigation

Exploring the Excel interface: Ribbon, Quick Access Toolbar, and Worksheet tabs
Understanding the layout of an Excel workbook: rows, columns, and cells

Lesson 3: Creating and Opening Workbooks

Creating a new Excel workbook and saving it in different file formats
Opening existing workbooks and navigating between multiple worksheets

Lesson 4: Entering data into cells

Putting text, numbers, and dates into cells
Understanding cell references: relative, absolute, and mixed

Lesson 5: Editing and Formatting Data

Editing cell contents: typing, selecting, copying, cutting, and pasting
Applying basic formatting options: font styles, sizes, colors, and alignment

Lesson 6: Working with Rows, Columns, and Cells

Inserting, deleting, and resizing rows and columns
Merge and split cells for better data organization.

Lesson 7: Introduction to Formulas and Functions

Understanding Excel formulas and functions
Basic arithmetic operations: addition, subtraction, multiplication, and division

Lesson 8: Using built-in functions

Exploring common built-in functions: SUM, AVERAGE, MAX, MIN, COUNT, and IF
Applying functions to perform calculations and data analysis

Lesson 9: Managing Worksheets and Workbooks

Renaming, moving, and copying worksheets within a workbook
Organizing and managing multiple workbooks: grouping, linking, and consolidating data

Lesson 10: Saving, Printing, and Sharing Workbooks

Saving workbooks to local drives, network locations, and cloud storage (OneDrive)
Printing worksheets and workbooks: page layout, orientation, and print settings
Sharing workbooks with others via email or shared network locations

This module provides a comprehensive introduction to Microsoft Excel, covering the basic features, functions, and techniques essential for creating, editing, and managing spreadsheets effectively.

2: Formulas and Functions:

Lesson 1: Introduction to Excel Formulas and Functions

Understanding the difference between formulas and functions in Excel
Exploring the syntax of Excel formulas: operators, cell references, and functions

Lesson 2: Basic Arithmetic Formulas

Performing basic arithmetic operations using Excel formulas: addition, subtraction, multiplication, and division
Applying formulas to calculate totals, averages, and percentages

Lesson 3: Using cell references in formulas

Understanding different types of cell references: relative, absolute, and mixed
Applying cell references in formulas to perform calculations across multiple cells

Lesson 4: Common Mathematical Functions

Exploring common mathematical functions in Excel: SUM, AVERAGE, MAX, MIN, and COUNT
Using mathematical functions to perform calculations on data sets

Lesson 5: Logical Functions

Introduction to logical functions: IF, AND, OR
Logical functions are used to make decisions and perform conditional calculations.

Lesson 6: Text Functions

Exploring text functions in Excel: CONCATENATE, LEFT, RIGHT, MID, LEN
Text functions are used to manipulate text strings and extract substrings.

Lesson 7: Date and time functions

Introduction to date and time functions in Excel: TODAY, NOW, DATE, TIME
Performing date arithmetic and calculating time differences using calendar and time functions

Lesson 8: Lookups and reference functions

Understand lookup functions: VLOOKUP, HLOOKUP, INDEX, and MATCH
Using lookup functions to retrieve data from tables and arrays

Lesson 9: Statistical Functions

Exploring statistical functions in Excel: SUMIF, AVERAGEIF, COUNTIF
Statistical functions are used to analyze data sets and calculate summary statistics.

Lesson 10: Advanced Functions and Nested Formulas

Introduction to advanced functions: SUMIFS, AVERAGEIFS, IFERROR, and INDIRECT
Creating nested formulas and combining multiple functions to solve complex problems

3: Formatting and Data Presentation:

Lesson 1: Introduction to Formatting in Excel

Understanding the importance of data presentation formatting
Overview of formatting options: font styles, sizes, colors, and effects

Lesson 2: Formatting Cells and Text

Applying basic cell formatting: font, font size, font color, and font style
Formatting text within cells: bold, italic, underline, and strikethrough

Lesson 3: Cell Alignment and Orientation

Text is aligned horizontally and vertically within cells.
Rotating text: changing text orientation and angle

Lesson 4: Number Formatting

Applying number formatting: currency, percentage, date, and time formats
Customizing number formats using format codes

Lesson 5: Formatting Rows and Columns

To accommodate content, adjust row height and column width.
Hiding and unhiding rows and columns

Lesson 6: Conditional Formatting

Applying conditional formatting rules based on cell values, formulas, or data bars
Visual data analysis using color scales, icon sets, and data bars

Lesson 7: Cell Styles and Themes

Applying predefined cell styles and themes to enhance the visual appearance
Creating custom cell styles to ensure consistent formatting

Lesson 8: Working with tables

Creating Excel tables to organize and analyze data
Applying table styles and formatting options

Lesson 9: Inserting and Formatting Images

Inserting images into Excel worksheets
Formatting images: resizing, cropping, and applying effects

Lesson 10: Printing and page setup

Setting up page layout: orientation, margins, and paper size
Printing worksheets and workbooks: adjusting print settings and page breaks

4: Working with Large Datasets:

Lesson 1: Introduction to Large Datasets

Understanding the challenges of working with large datasets in Excel
Overview of techniques for optimizing performance and efficiency

Lesson 2: Data Import and External Data Sources

Importing data from external sources: databases, text files, CSV files, and web queries
Exploring options for connecting Excel to external databases and data sources

Lesson 3: Data Filtering and Sorting

Filtering data to focus on specific criteria or subsets
Sorting the data so that it is organized in a meaningful way

Lesson 4: Using PivotTables for Data Analysis

Introduction to PivotTables: Summarizing, Analyzing, and Visualizing Large Datasets
Creating pivot tables and pivot charts to extract insights from data

Lesson 5: Managing Data Tables and Ranges

Splitting large datasets into manageable chunks using Excel tables
Defining and managing named ranges can simplify data referencing.

Lesson 6: Data Validation and Error Handling

Implementing data validation rules to ensure data integrity
Handling errors and inconsistencies in large datasets

Lesson 7: Advanced Filtering and Sorting Techniques

Using advanced filtering options (date filters, text filters, and custom filters)
Applying complex sorting criteria to large datasets

Lesson 8: Consolidating and Combining Data

Consolidating data from multiple worksheets or workbooks
Combining data from different sources using lookup and reference functions

Lesson 9: Using Power Query to Transform Data

Introduction to Power Query: a powerful tool for data transformation and manipulation
Importing, transforming, and cleaning large datasets with Power Query

Lesson 10: Tips for Optimizing Your Performance

Tips and techniques for improving Excel performance when working with large datasets
Best practices for optimizing formulas, reducing file size, and minimizing calculation times

5: Advanced Formulas and Functions:

Lesson 1: Array Formulas

Understanding Excel array formulas and their applications
Creating array formulas to perform calculations on multiple cells or ranges.

Lesson 2: Advanced Lookup and Reference Functions

Exploring advanced lookup and reference functions: INDEX, MATCH, VLOOKUP, and HLOOKUP
Using these functions to retrieve data in a more flexible and dynamic manner

Lesson 3: Nested Functions

Introduction to nested functions: combining multiple functions within a single formula
Nesting functions to create complex formulas to solve specific problems

Lesson 4: Logical Functions and Conditional Logic

Advanced uses of logical functions: IF, AND, OR, NOT, IFERROR, CHOOSE
Implementing conditional logic and branching within formulas

Lesson 5: Date and time functions

Advanced date and time functions include EOMONTH, WORKDAY, NETWORKDAYS, and DATEDIF.
Using date and time functions for more sophisticated date calculations

Financial Functions (Lesson 6)

Exploring financial functions in Excel: PV, FV, PMT, RATE, NPV, and IRR
Using financial functions to perform calculations for loans, investments, and cash flows

Lesson 7: Statistical Functions

Advanced statistical functions: COUNTIF, SUMIF, AVERAGEIF, COUNTIFS, SUMIFS, AVERAGEIFS
Statistical functions are used to perform conditional calculations and summary statistics.

Lesson 8: Text Functions and Manipulation

Advanced text manipulation functions: CONCATENATE, TEXTJOIN, FIND, SEARCH, REPLACE
Text functions are used to manipulate text strings and extract information.

Lesson 9: Engineering Functions

Introduction to engineering functions: CONVERT, ROUNDUP, ROUNDDOWN, CEILING, and FLOOR
Using engineering functions for unit conversions, rounding, and precision adjustments

Lesson 10: User-Defined Functions (UDFs)

Overview of user-defined functions (UDFs) in Excel
Creating custom functions using VBA (Visual Basic for Applications) to extend Excel’s functionality

6: Data Validation and Error Handling:

Implementing data validation rules to ensure data accuracy and consistency.
Learning error handling techniques to troubleshoot and resolve formula errors.

7: Macros and VBA

Introduction to macros and VBA (Visual Basic for Applications) for automating repetitive tasks.
Building basic macros to streamline your workflow. (Note: VBA complexity can vary depending on the course.).

8: Data Analysis and PivotTables:

Lesson 1: Introduction to Data Analysis in Excel

Overview of data analysis techniques in Excel
Understanding the importance of pivot tables for data summarization and analysis

Lesson 2: Creating Pivot Tables

Creating pivot tables from raw data: selecting data ranges, rows, columns, and values
PivotTable layout and structure can be customized.

Lesson 3: Working with PivotTable Fields

Understanding PivotTable fields: rows, columns, values, and filters
Grouping, sorting, and filtering PivotTable data

Lesson 4: Calculated Fields and Items

Adding calculated fields to PivotTables: performing calculations within PivotTables
Creating calculated items for data analysis based on custom criteria

Pivot Table Analysis Techniques (Lesson 5)

Applying PivotTable analysis techniques: sorting, filtering, and drilling down into data
Using PivotTable slicers for interactive data filtering

Lesson 6: PivotTable Formatting and Styling

Formatting PivotTables: applying styles, themes, and number formats
Customizing the layout and design of PivotTable for better data presentation

Lesson 7: PivotTable Charts and Visualizations

Creating PivotChart reports from PivotTables
Visualizing PivotTable data using different chart types: column, bar, line, and pie charts

Lesson 8: Advanced PivotTable Features

Using advanced PivotTable features: calculated fields, grouping, and calculated items
Analyzing multiple data sets with PivotTables: data consolidation and data modeling

Lesson 9: Data Analysis with Power Pivot

Introduction to Power Pivot: a powerful data analysis tool in Excel
Using Power Pivot, you can create pivot tables from multiple data sources.

Lesson 10: Analyzing Data with PivotTable Examples

Applying PivotTable techniques to analyze real-world data scenarios
Completing hands-on exercises and case studies to reinforce learning

This module provides a comprehensive overview of data analysis and pivot tables in Excel, covering pivot table creation, field manipulation, analysis techniques, formatting, pivot table charts, advanced features, power pivot integration, and practical examples for data analysis.

9: Advanced Charting and Visualization Techniques

Creating visually compelling and informative charts with advanced formatting options.
Exploring chart types like histograms, scatter plots, and box plots for specific data insights.