The Advanced Excel course is a specialized training program that builds upon the basic Excel skills and takes participants to a higher level of proficiency in using Microsoft Excel. It is designed for individuals who want to master complex data manipulation, data analysis, and reporting techniques using Excel.

The course covers a wide range of topics, including advanced functions like VLOOKUP, HLOOKUP, INDEX-MATCH, and SUMIFS, which allow participants to retrieve and analyze data from large datasets efficiently. Participants learn how to create and customize PivotTables and PivotCharts, powerful tools for summarizing and visualizing data.

Advanced Excel techniques such as conditional formatting, data validation, and advanced charting enable participants to create dynamic and visually appealing reports and visualizations. The course also introduces participants to automation with Excel macros and basic VBA programming, empowering them to automate repetitive tasks and create custom solutions.

Participants explore data analysis tools like Power Query and Power Pivot for data shaping and transformation, as well as perform “what-if” analyses using scenarios, goal seek, and data tables. Additionally, they learn financial and statistical functions for complex calculations and analysis.

Throughout the course, participants engage in hands-on exercises and real-world scenarios to apply the concepts learned and gain practical experience. By the end of the Advanced Excel course, participants should be well-equipped to handle complex data analysis tasks, generate insightful reports, and create dynamic data visualizations, making them highly proficient in using Excel for professional data-related tasks in various industries.

WHO CAN JOIN ADVANCED DIGITAL MARKETING COURSE?

  • 10th, 12th or Equivalent
  • BCA/MCA, B. TECH, M. TECH, B.SC(IT/CS), BBA, MBA, B.COM Students
  • Diploma Candidates
  • Working Professionals
Overview of Advance Excel Course
Module 1: Advanced Functions
  • VLOOKUP, HLOOKUP, INDEX-MATCH functions for data retrieval.
  • SUMIFS, COUNTIFS, AVERAGEIFS for conditional data summarization.
  • CONCATENATE, TEXTJOIN, and other text functions for text manipulation.
  • IF, AND, OR, NOT functions for logical operations.
  • DATE and TIME functions for date and time calculations.

Module 2: PivotTables and PivotCharts

  • Creating and customizing PivotTables.
  • Using PivotCharts to visualize data.
  • Grouping data in PivotTables.
  • Calculated Fields and Items in PivotTables.
  • Slicers and Timelines for interactivity.

Module 3: Data Validation

  • Setting up data validation rules for data entry.
  • Creating custom error messages.
  • Creating drop-down lists for data selection.

Module 4: Conditional Formatting

  • Applying conditional formatting to highlight data based on conditions.
  • Using color scales, data bars, and icon sets for visualizations.

Module 5: Advanced Charting Techniques

  • Creating advanced chart types like combo charts, waterfall charts, and sparklines.
  • Customizing chart elements, axis, and labels.
  • Adding trendlines and data labels.

Module 6: Macros and VBA (Visual Basic for Applications)

  • Recording and running macros.
  • Introduction to VBA programming.
  • Creating user-defined functions (UDFs).
  • Automating repetitive tasks with VBA.

Module 7: Power Query and Power Pivot

  • Using Power Query to connect to external data sources and perform data transformation.
  • Building relationships and creating calculated columns and measures with Power Pivot.

Module 8: Data Analysis with What-If Analysis

  • Using scenarios to explore different outcomes based on changing input values.
  • Goal Seek to achieve specific results by adjusting a single input.
  • Data tables for sensitivity analysis.

Module 9: Financial and Statistical Functions

  • NPV (Net Present Value), IRR (Internal Rate of Return), and other financial functions.
  • AVERAGE, MEDIAN, STDEV (Standard Deviation), and other statistical functions.

Module 10: Data Consolidation

  • Consolidating data from multiple worksheets or workbooks.
  • Using 3D references for data consolidation.