Training Course on Data Analytics with Advanced Excel

Course Overview

The Data Analytics with Advanced Excel training offers a comprehensive exploration of Excels capabilities in data analysis.  Throughout the course, you will delve into advanced techniques for cleaning and preparing data, mastering complex formulas and functions,  and creating impactful visualizations like charts, graphs, and interactive dashboards.  By the end of this program, you will possess the skills and confidence to extract valuable insights from data, enabling you to make informed decisions and drive organizational success through data-driven strategies.

Course Duration: 10 days

Module 1: Introduction to Data Analytics

• Importance in decision-making
• Key concepts and terminology
• Advantages of using Excel
• Introduction to Excel data analysis tools

Module 2: Data Cleaning and Preparation

• External data connections
• Importing data from different sources
• Removing duplicates and inconsistencies
• Text to columns, data validation, and formatting

Module 3: Exploratory Data Analysis (EDA)

• Mean, median, mode
• Measures of dispersion
• Creating charts (bar, line, pie)
• Conditional formatting for visual insights

Module 4: Advanced Excel Functions for Data Analysis

• Statistical Functions - AVERAGEIF, COUNTIF, SUMIF
• Statistical analysis with Excel functions
• VLOOKUP, HLOOKUP, INDEX, and MATCH
• Combining functions for dynamic analysis

Module 5: PivotTables and PivotCharts

• Summarizing and analyzing data
• Grouping and filtering data
• Creating dynamic charts linked to PivotTables
• Using slicers for interactivity

Module 6: Power Query and Power Pivot

• Data import and transformation
• Merging and appending queries
• Creating data models
• DAX (Data Analysis Expressions) introduction

Module 7: Data Analysis with What-If Analysis Tools

• Performing sensitivity analysis
• Creating and managing scenarios
• Optimization and constraint-based analysis
• Solver for linear programming problems

Module 8: Regression Analysis in Excel

• Linear regression basics
• Multiple regression analysis
• Data preparation for regression
• Interpreting regression results

Module 9: Automation with Macros and VBA

• Recording and executing macros
• Writing simple VBA code for automation
• Integrating VBA with data analysis tasks

Module 10: Real-world Applications and Case Studies

• Application of data analytics in various sectors
• Extracting actionable insights from real-world data
• Applying learned concepts to a comprehensive data analysis project
• Peer review and feedback

Note: This outline provides a general structure for the training. The specific content, activities, and duration of each session may be adjusted based on the target audience, learning objectives, and available time.