
Advanced Excel: Formulas, Scenarios, Pivot Tables, and Charts
Deep dive into Excel’s advanced features for dynamic reporting. Master tools like pivot tables, scenarios, and custom charts.

Track
Data Science
Level
Beginner
Language
English
Duration
30 hours
Learning Mode
Learn at ALC or at Home
Introduction
- Comprehensively Use Excel Functions: Acquire in-depth knowledge of Excel functions across categories like financial, logical, date and time, and lookup and reference to perform sophisticated data analysis.
- Analyse Data Using Scenarios and What-If Analysis: Utilize Excel’s What-If Analysis tools, including scenarios, data tables, and scenario summaries, to forecast and analyse data under various conditions.
- Visualize Data with Advanced Charting Techniques: Explore and apply advanced charting techniques, including area, scatter, stock, surface, radar, and combination charts, along with custom templates and sparklines.
- Leverage Pivot Tables and Charts for Data Analysis: Master the use of pivot tables and charts, understand their elements, and learn how to create dynamic dashboards for data visualization and analysis.
What you'll learn ?
- Apply Excel Functions for Data Analysis: Employ a wide array of Excel functions to analyse and interpret complex datasets, facilitating informed decision-making and insightful data analysis.
- Conduct What-If Data Analysis: Perform What-If Analysis using scenarios and data tables to predict outcomes and make data-driven decisions in various business and research contexts.
- Design and Customize Excel Charts: Create visually compelling and informative charts using advanced Excel features, customizing them to suit specific data presentation needs.
- Analyse and Present Data with Pivot Tables and Charts: Construct and customize pivot tables and charts to summarize, analyse, and present large datasets in an accessible and actionable format, including the creation of comprehensive dashboards.
Syllabus
Using different functions in Excel 365
- Basics of Functions in Excel
- Financial Functions
- Logical Functions
- Date and Time Functions
- Lookup and Reference
Use of Scenarios in Excel
- Use What-If Analysis Tools
- Create Scenarios
- Merge Scenarios
- Create Scenario Summaries
- Use Data Tables: Data Tables Scenarios vs Data Tables, One-Variable Data Table
- Use Data Tables: Two-Variable Data Table
- Data tables
Use of different charts in Excel
- Basic Excel Charts
- Use Area, Scatter & Stock Charts
- Use Surface, Radar & Combination Charts
- Create Custom Chart Templates
- Work with Sparklines
Pivot Tables and Pivot Charts in Excel
- Introduction
- Elements or Categories in Pivot Tables
- Value Categories
- Pivot Charts
- PivotTables: Data Slicer, Timeline Filter and PivotTable Styles
- Connecting with multiple Pivot Tables
- Create Dashboard using Pivot Table and Charts
Work-Centric Approach
The academic approach of the course focuses on ‘work-centric’ education. With this hands-on approach, derive knowledge from and while working to make it more wholesome, delightful and useful. The ultimate objective is to empower learners to also engage in socially useful and productive work. It aims at bringing learners closer to their rewarding careers as well as to the development of the community.
- Step 1: Learners are given an overview of the course and its connection to life and work
- Step 2: Learners are exposed to the specific tool(s) used in the course through the various real-life applications of the tool(s).
- Step 3: Learners are acquainted with the careers and the hierarchy of roles they can perform at workplaces after attaining increasing levels of mastery over the tool(s).
- Step 4: Learners are acquainted with the architecture of the tool or tool map so as to appreciate various parts of the tool, their functions, utility and inter-relations.
- Step 5: Learners are exposed to simple application development methodology by using the tool at the beginner’s level.
- Step 6: Learners perform the differential skills related to the use of the tool to improve the given ready-made industry-standard outputs.
- Step 7: Learners are engaged in appreciation of real-life case studies developed by the experts.
- Step 8: Learners are encouraged to proceed from appreciation to imitation of the experts.
- Step 9: After the imitation experience, they are required to improve the expert’s outputs so that they proceed from mere imitation to emulation.
- Step 10: Emulation is taken a level further from working with differential skills towards the visualization and creation of a complete output according to the requirements provided. (Long Assignments)
- Step 11: Understanding the requirements, communicating one’s own thoughts and presenting are important skills required in facing an interview for securing a work order/job. For instilling these skills, learners are presented with various subject-specific technical as well as HR-oriented questions and encouraged to answer them.
- Step 12: Finally, they develop the integral skills involving optimal methods and best practices to produce useful outputs right from scratch, publish them in their ePortfolio and thereby proceed from emulation to self-expression, from self-expression to self-confidence and from self-confidence to self-reliance and self-esteem!