SIGMA DHYANA
Excel for Data Analytics
Course Syllabus
Module 1: Basic Excel
Objective:
Introduce fundamental Excel functionalities for data manipulation and formatting.
Introduce fundamental Excel functionalities for data manipulation and formatting.
Topics ▼
- Introduction to Excel
- Creating and Closing Files
- Tabs and Groups
- Exploring Styles and Clearing Formatting
- Text to Columns
- Freeze Panes
- Cell References
- Relative References
- Absolute References
- Data Validation
- Grouping Items
- Creating Range Names
- Removing Unwanted Characters from Text
- Remove Duplicates
- Formulas and Functions
- Find & Replace
- Flash Fill Series
- Consolidate
- Subtotal
- What-if Analysis
- Watch Window
- Formula Auditing
- Protect Cells, Sheet, Workbook
- Statistical Functions
- Hyperlinks to Sheet and Webpage
- Logical Tests
Hands-on Exercise:
- Create a basic Excel file with formulas and functions.
- Apply formatting styles and data validation rules.
Module 2: Conditional Functions
Objective:
Master conditional functions for logical operations and data analysis.
Master conditional functions for logical operations and data analysis.
Topics ▼
- IF Function
- Nested IF
- AND Function
- SUMIF
- COUNTIF
- IFERROR
Hands-on Exercise:
- Implement conditional functions in Excel formulas.
- Use nested IF statements for complex conditions.
Module 3: Charts
Objective:
Explore chart creation and customization for visual data representation.
Explore chart creation and customization for visual data representation.
Topics ▼
- Creating Simple Charts
- Modifying Charts
- Changing Chart Types
- Chart Formatting
- Formatting Chart Items
- Formatting Plot Area
- Formatting Data Markers
Hands-on Exercise:
- Create various types of charts and customize them.
- Format charts to enhance visual clarity.
Module 4: Date Formats
Objective:
Manipulate date formats and perform date-related calculations.
Manipulate date formats and perform date-related calculations.
Topics ▼
- Converting Dates to Different Formats
- Obtaining Today’s Date
- Finding Workdays After Specified Days
- Extracting Year, Month, Day from Date
- Extracting Day of the Week from Date
- Calculating Differences Between Dates
Hands-on Exercise:
- Convert date formats using Excel functions.
- Perform date calculations based on given scenarios.
Module 5: Conditional Formatting
Objective:
Apply conditional formatting techniques to highlight data patterns.
Apply conditional formatting techniques to highlight data patterns.
Topics ▼
- Highlight Cells Rules
- Top / Bottom Rules
- Data Bars
- Color Scales
- Icon Sets
- New Rule
- Clearing and Managing Rules
Hands-on Exercise:
- Apply various conditional formatting rules to Excel data.
- Manage and clear conditional formatting rules as needed.
Module 6: Sorting
Objective:
Sort data effectively based on different criteria in Excel.
Sort data effectively based on different criteria in Excel.
Topics ▼
- Sort by Text, Numbers, Dates
- Sort by Cell Color, Font Color, Cell Icon
- Sort by Custom List
- Multi-column or Multi-row Sorting
Hands-on Exercise:
- Sort Excel data using different sorting methods.
- Perform multi-column sorting operations.
Module 7: Filtering
Objective:
Filter and extract specific data subsets from Excel datasets.
Filter and extract specific data subsets from Excel datasets.
Topics ▼
- Filter by Selected Values, Text, Date, Numbers
- Filter by Cell Color
- Clear Filters
- Advanced Filtering Techniques
- Using Slicers for Filtering
Hands-on Exercise:
- Apply filters and Advance filterings to Excel data based on various criteria.
- Use slicers to interactively filter data.
Module 8: Lookup Functions
Objective:
Utilize lookup functions to retrieve data from Excel tables efficiently.
Utilize lookup functions to retrieve data from Excel tables efficiently.
Topics ▼
- VLOOKUP and HLOOKUP Functions
- INDEX and MATCH Functions
- Range Lookup Techniques
Hands-on Exercise:
- Perform lookup operations using VLOOKUP, HLOOKUP, INDEX, and MATCH functions.
- Apply range lookup techniques in Excel formulas.
Module 9: Pivoting
Objective:
Master PivotTable and PivotChart creation for data summarization and analysis.
Master PivotTable and PivotChart creation for data summarization and analysis.
Topics ▼
- Creating PivotTables
- Recommended PivotTables
- PivotTable Fields and Areas
- PivotTable Nesting and Filtering
- Summarizing Values by Calculations
- PivotTable Tools and Customizations
- Creating PivotCharts
- Using Pictures in Charts
- Advanced Chart Types: Band, Thermometer, Gantt, Waterfall
- Sparklines
- Working with Multiple Sheets
- Creating a formula across multiple worksheets
- Summarizing data in multiple worksheets
- Merging two tables using Append Queries
Hands-on Exercise:
- Create PivotTables and PivotCharts to summarize and visualize data.
- Customize PivotTables and PivotCharts for multiple worksheets
Module 10: Macros and VBA
Objective:
Automate tasks in Excel using macros and understand VBA programming.
Automate tasks in Excel using macros and understand VBA programming.
Topics ▼
- Introduction to Macros
- Recording and Running Macros
- Introduction to VBA (Visual Basic for Applications)
- Basic VBA Syntax
Hands-on Exercise:
- Record and run macros to automate repetitive tasks.
- Write basic VBA scripts for Excel operations.