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Data Analytics Using MS Excel (Basic to Advance)

Data analytics by using Microsoft Excel is a powerful tool data, and it offers a wide range of features for users from basic to advanced levels. Below is a guide covering various aspects of data analytics in Microsoft Excel, progressing from basic to advanced topics. - Data Analysis Online Training Course

Basic Level:

1. Data Entry and Formatting:

 - Enter data into cells.

 - Use basic formatting options (font, color, borders).

2. Basic Formulas:

 - SUM, AVERAGE, MIN, MAX for basic calculations.

 - Understanding cell references (absolute, relative, mixed).

3. Sorting and Filtering:

 - Sort data alphabetically or numerically.

 - Use basic filters to display specific data.

4. Charts:

 - Create simple charts (bar, line, pie).

 - Customize chart elements (titles, legends). - Data Analysis Online Course

Intermediate Level:

5. Advanced Formulas:

 - IF, VLOOKUP, HLOOKUP, INDEX-MATCH, SUMIF, COUNTIF.

 - Use of logical functions (AND, OR).

6. Data Validation:

 - Set rules for data entry using validation.

 - Create drop-down lists for data entry.

7. PivotTables:

 - Summarize and analyze data using PivotTables.

 - Grouping and filtering within PivotTables.

8. Conditional Formatting:

 - Apply conditional formatting to highlight data patterns.

 - Use color scales, data bars, and icon sets. - Data Analytics Course in Hyderabad

Advanced Level:

9. Power Query:

 - Import and transform data using Power Query.

 - Merge and append queries for complex data manipulation.

10. Power Pivot:

 - Create data models using Power Pivot.

 - Build relationships between tables.

11. Advanced Charting:

 - Create combo charts, sparklines, and trendlines.

 - Customize chart axes, labels, and data points. - Data Analytics Training

12. Solver and What-If Analysis:

 - Use Solver for optimization problems.

 - Conduct What-If analysis with scenarios.

13. Macros and VBA (Visual Basic for Applications):

 - Record and run macros to automate tasks.

 - Write simple VBA code for customized automation.

14. Dashboard Creation:

 - Combine charts, PivotTables, and other elements.

 - Create interactive dashboards for data visualization.

15. Statistical Analysis:

 - Use Excel's built-in statistical functions.

 - Perform regression analysis and data modeling. - Data Analytics Online Training Institute

Remember to practice regularly and explore real-world datasets to enhance your skills. Additionally, take advantage of online resources and tutorials to stay updated with the latest features and best practices in Microsoft Excel for data analytics.

 

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