0% found this document useful (0 votes)
73 views3 pages

Advanced Excel 14 Day Roadmap

The document outlines a 14-day roadmap for mastering advanced Excel for data analysis, divided into two weeks focusing on foundational skills and automation. Key topics include data handling, functions, charts, pivot tables, Power Query, DAX, and creating dashboards. The program emphasizes practical exercises and projects to reinforce learning and prepare for interviews.

Uploaded by

vinayak
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
0% found this document useful (0 votes)
73 views3 pages

Advanced Excel 14 Day Roadmap

The document outlines a 14-day roadmap for mastering advanced Excel for data analysis, divided into two weeks focusing on foundational skills and automation. Key topics include data handling, functions, charts, pivot tables, Power Query, DAX, and creating dashboards. The program emphasizes practical exercises and projects to reinforce learning and prepare for interviews.

Uploaded by

vinayak
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
You are on page 1/ 3

Advanced Excel for Data Analysis - 14-

Day Mastery Roadmap


Week 1: Foundation & Functions for Data Analysis

Day 1: Excel Essentials & Data Handling


 Importing Data (CSV, TXT, Excel, web)
 Data cleaning basics
 Sorting and Filtering (AutoFilter, Advanced Filter)
 Data validation & drop-down lists
 Freeze Panes, Split, Named Ranges
 Practice: Clean a messy dataset (sales, customer, or employee data).

Day 2: Text Functions & Data Cleaning


 LEFT, RIGHT, MID, LEN, FIND, SEARCH, TRIM, CLEAN, SUBSTITUTE, REPLACE, TEXT,
CONCAT, TEXTJOIN
 Practice: Clean and format unstructured names, emails, addresses.

Day 3: Logical & Lookup Functions


 Logical: IF, IFS, AND, OR, NOT, IFERROR
 Lookup: VLOOKUP, HLOOKUP, INDEX, MATCH, XLOOKUP
 Combine INDEX-MATCH and nested IFs
 Practice: Build a dynamic employee salary checker or stock lookup tool.

Day 4: Date & Time Functions


 TODAY, NOW, DAY, MONTH, YEAR, WEEKDAY
 DATEDIF, NETWORKDAYS, WORKDAY
 Calculate age, service tenure, due dates
 Practice: Create a leave tracker or employee tenure calculator.

Day 5: Advanced Data Cleaning


 Remove duplicates, blanks
 Use Go To Special
 Text to Columns
 Power Query basics: Load, transform, clean data
 Practice: Load and transform a dataset with Power Query (e.g., messy sales data).

Day 6: Basic Charts & Visualizations


 Column, Bar, Line, Pie, Combo Charts
 Formatting charts, data labels, dynamic titles
 Sparklines
 Use named ranges in charts
 Practice: Create a dashboard showing monthly sales trends.

Day 7: Pivot Tables & Slicers


 Create pivot tables
 Grouping, summarizing, drill-down
 Calculated fields, filters, slicers
 Pivot Charts
 Practice: Analyze sales data by region, product, and month.

Week 2: Automation, Dashboards, and Projects

Day 8: Power Query Advanced


 Merge, Append Queries
 Unpivot data
 Advanced transformations
 Practice: Clean and consolidate multiple Excel files/sheets into one.

Day 9: Power Pivot & DAX


 Add data model, relationships
 Introduction to DAX: CALCULATE, FILTER, ALL, RELATED
 Create KPIs using DAX
 Practice: Build a KPI dashboard with multiple tables.

Day 10: Excel Dashboards (Static & Dynamic)


 Design principles
 Form controls (dropdowns, checkboxes)
 Linked charts, conditional formatting
 Interactive dashboards
 Practice: Build a dynamic dashboard (e.g., Product Performance Tracker).

Day 11: Scenario, Goal Seek, What-If Analysis


 Scenario Manager
 Goal Seek, Solver
 Data Tables (one-variable & two-variable)
 Practice: Profit prediction model with what-if analysis.

Day 12: Excel VBA Basics (Optional but Powerful)


 Recording Macros
 VBA Editor: Modules, Sub, MsgBox, InputBox
 Automating repetitive tasks
 Practice: Automate report generation or formatting tasks.
Day 13: Mock Projects & Case Studies
 Sales Dashboard
 HR Leave Tracker
 Customer Churn Analysis
 Inventory Management Tool
 Financial Budget Planner

Day 14: Interview Preparation + Review


 Review key formulas, shortcuts, concepts
 Practice common Excel interview questions
 Prepare to explain your project logic: What problem you solved, how you used Excel
tools

You might also like