Duration: 6 Weeks | Total Time: 36 Hours
Format: Live online sessions using Google meet or MS Teams with hands-on coding, mini-projects, and a capstone project by an industry expert.
Target Audience: College Students, Professionals in Finance, HR, Marketing, Operations, Analysts, and Entrepreneurs
Tools Required: Laptop with internet
Trainer: Industry professional with hands on expertise
Week 1: Introduction to Excel and Data Fundamentals (6 Hours)
- Overview of Excel and its role in data analytics
- Navigating Excel interface — ribbons, tabs, and shortcuts
- Understanding data types, cell references, and formatting
- Working with formulas and basic functions (SUM, AVERAGE, COUNT, etc.)
- Sorting, filtering, and conditional formatting for data organization
- Introduction to data entry, data validation, and basic charts
Week 2: Data Cleaning and Preparation (6 Hours)
- Techniques for cleaning and structuring raw data
- Handling duplicates, blanks, and inconsistent entries
- Text functions (LEFT, RIGHT, MID, TRIM, CONCATENATE, TEXTJOIN)
- Date and time functions for data processing
- Using logical functions (IF, AND, OR, IFERROR)
- Practical exercises on preparing real-world datasets
Week 3: Data Analysis with Formulas and Functions (6 Hours)
- Lookup and reference functions (VLOOKUP, HLOOKUP, XLOOKUP, INDEX-MATCH)
- Statistical functions (AVERAGEIF, COUNTIF, SUMIFS)
- Mathematical and financial functions (ROUND, RANK, PMT, NPV, IRR)
- Data summarization with dynamic formulas
- Using named ranges and structured references
- Automating analysis with nested formulas
Week 4: Data Visualization and Reporting (6 Hours)
- Creating effective charts (Column, Line, Pie, Bar, Scatter, Combo)
- Advanced chart customization (axes, labels, dynamic ranges)
- Conditional visualizations with data bars and color scales
- Building interactive dashboards using form controls
- Using Sparklines and Conditional Formatting for insights
- Best practices for designing clean analytical dashboards
Week 5: Advanced Analytics and Pivot Tools (6 Hours)
- Introduction to PivotTables and PivotCharts
- Grouping, filtering, and summarizing data in PivotTables
- Using Slicers and Timelines for interactivity
- Advanced calculations with DAX and Power Pivot
- Introduction to Power Query for ETL (Extract, Transform, Load)
- Automating repetitive tasks using Macros and basic VBA
Week 6: Business Intelligence and Capstone Project (6 Hours)
- Using Power Query to merge and clean multiple datasets
- Integrating Excel with Power BI and external data sources
- Performing scenario and sensitivity analysis (Goal Seek, Solver, Data Tables)
- Real-world case study: End-to-end data analytics project in Excel
- Building an interactive dashboard with live insights
- Final review, project presentation, and assessment
Mini Project Ideas (Week 4 Hands-on)
Learners will complete an end-to-end analytics project such as:
- Project 1: Sales Performance Dashboard with KPIs and Trends
- Project 2: Financial Budget vs. Actual Analysis using Power Query
- Project 3: Customer Retention Analysis Report using PivotTables
Teaching Methodology
- Live Demonstrations of Excel features and functions
- Hands-on Exercises for every concept
- Assignments & Weekly Quizzes
- Interactive Q&A Sessions
- Final Mini Project Presentation
Final Deliverables
- Certificate of Completion
- End-to-End Excel Analytics Dashboard
- Strong proficiency in Excel for real-world data analytics tasks
Course Outcomes:
By the end of this course, learners will be able to:
- Understand Excel’s data analytics capabilities.
- Perform data cleaning, transformation, and analysis using formulas and functions.
- Create charts, dashboards, and reports for decision-making.
- Apply advanced Excel features such as PivotTables, Power Query, and Power Pivot.
- Automate repetitive analytics tasks using macros.
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