Workshop Highlights
Purpose:
Enhance your skills in Advanced Excel for data cleaning, analysis, and visualization. This program is designed to equip participants with advanced techniques to process large datasets, perform in-depth analyses, and create interactive dashboards for impactful reporting.
Project Outline and Methodology:

Foundations of Advanced Excel
Essential Excel Concepts

• Introduction to Advanced Excel and its applications in Data Science and Machine Learning.
• Data Cleaning and Preprocessing:
• Removing duplicates, handling missing values.
• Using tools like Text-to-Columns, Auto Fill, and Flash Fill.
• Mastering Essential Functions:
• Arithmetic Functions: SUM, AVG, MAX, MIN, etc.
• Logical Functions: IF, AND, OR, IFERROR.
• Integrated Functions: SUMIF/S, COUNTIF/S, AVGIF/S.
• Text Functions: CONCATENATE, LEFT, RIGHT, LEN, TRIM.
• Date-Time Functions: TODAY, NOW, DATE, etc.

Data Analysis Techniques

• Advanced Sorting and Filtering:
• Multi-level sorting and advanced filter options.
• Data Validation:
• Creating and managing dropdown lists.
• Custom validation rules with formulas.
• Configuring error and input messages.
• PivotTables and PivotCharts:
• Crafting dynamic summaries.
• Building basic charts for visualization.

Advanced Applications and Visualization
Advanced Excel Topics

• Advanced Conditional Formatting:
• Highlighting trends using data bars, color scales, and icon sets.
• Implementing custom formulas and multiple conditions.
• Data Analysis ToolPak:
• Performing descriptive statistics, regression analysis, histograms, and ANOVA.
• Advanced Lookup Functions:
• Mastering INDEX, MATCH, XLOOKUP, VLOOKUP, and HLOOKUP.

Data Visualization and Reporting

• Power Query for Data Transformation:
• Merging and appending datasets.
• Automating repetitive tasks for efficiency.
• Advanced Charting Techniques:
• Creating Combo Charts, Waterfall Charts, and Funnel Charts.
• Dashboard Creation:
• Connecting charts to raw data for dynamic updates.
• Adding slicers and timelines for interactivity.
• Best practices in dashboard design.

Required Tools:

• Laptop with the latest version of Microsoft Excel.
• Preloaded datasets for hands-on exercises.

Assessment Methods:

• Interactive quizzes after each session.
• Hands-on tasks with real-world datasets.
• Final Mini-Project: Design a dashboard summarizing a dataset with advanced visualizations and interactivity.