Data Analytics with Advanced Excel

Module 1: Introduction to Data Analytics and Advanced Excel

📌 Key Topics:

• Overview of Data Analytics and its applications in business
• Understanding Excel as a Data Analytics Tool
• Data types formatting and basic functions
• Introduction to Excel Shortcuts & Productivity Tools
• Setting up Data Models and Data Structures

🔹 Excel Functions & Tools Covered:

• Keyboard Shortcuts (CTRL + ALT + V CTRL + SHIFT + L)
• TEXT CONCATENATE & TRIM (for text manipulation)
• Data Validation & Named Ranges

Module 2: Data Collection Cleaning and Preparation

📌 Key Topics:

• Importing and Managing Large Datasets
• Cleaning Data for Accuracy and Consistency
• Handling duplicates missing values and errors
• Data transformation using Power Query
• Data Consolidation from multiple sources

🔹 Excel Functions & Tools Covered:

• Power Query (to clean and transform data)
• TEXT LEFT RIGHT MID (for text manipulation)
• Find & Replace Remove Duplicates (data cleaning)
• IFERROR ISERROR ERROR.TYPE (handling errors)

Module 3: Advanced Data Analysis Techniques

📌 Key Topics:

• Descriptive Statistics (Mean Median Mode Standard Deviation)
• Trend and Forecasting Analysis
• Identifying Patterns and Anomalies in Data
• What-If Analysis & Scenario Planning
• Regression Analysis and Correlation

🔹 Excel Functions & Tools Covered:

• SUMIF COUNTIF AVERAGEIF (conditional analysis)
• TREND FORECAST LINEST (trend analysis)
• Data Tables & Goal Seek (What-If Analysis)
• Analysis ToolPak Add-in (for statistical analysis)

Module 4: Pivot Tables and Data Summarization

📌 Key Topics:

• Creating and Customizing Pivot Tables
• Using Pivot Charts for better visualization
• Group Sort and Filter Data
• Calculated Fields and Calculated Items in Pivot Tables
• Using Slicers and Timelines for Interactive Reports

🔹 Excel Functions & Tools Covered:

• Pivot Tables & Pivot Charts
• Slicers & Timelines (for interactive filtering)
• GETPIVOTDATA (extracting data from Pivot Tables)

Module 5: Data Visualization & Dashboard Development

📌 Key Topics:

• Best Practices for Data Visualization
• Creating Dynamic and Interactive Charts
• Building Custom Dashboards in Excel
• Using Conditional Formatting for Insights
• Introduction to Power BI for Advanced Reporting

🔹 Excel Functions & Tools Covered:

• CHARTS (Bar Line Pie Combo)
• SPARKLINES (miniature trend graphs)
• Conditional Formatting (heat maps alerts)
• Power BI Integration with Excel

Module 6: Advanced Excel Functions for Data Analysis

📌 Key Topics:

• Using Advanced Lookup Functions
• Creating Automated Reports with Formulas
• Array Formulas and Dynamic Arrays
• Using Logical & Text Functions for Analysis

🔹 Excel Functions & Tools Covered:

• VLOOKUP XLOOKUP INDEX-MATCH (data lookup)
• IF AND OR IFS (logical functions)
• TEXTJOIN CONCATENATE SUBSTITUTE (text functions)
• Dynamic Arrays (FILTER SORT UNIQUE)

Module 7: Automation with Macros and VBA

📌 Key Topics:

• Introduction to Macros and VBA in Excel
• Recording and Running Macros
• Writing Basic VBA Scripts for Automation
• Automating Repetitive Data Analysis Tasks
• Creating User-Defined Functions (UDFs)

🔹 Excel Functions & Tools Covered:

• Macro Recording & Editing
• VBA for Data Processing
• Automating Reports with VBA

Event Venue & Nearby Stays

Nairobi, Kenya