Advanced Excel: Formulas, Scenarios, Pivot Tables, and Charts

• 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.

• 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.

The Academic Approach of the course focuses on the “work centric” education i.e. begin with work (and not from a book !), derive knowledge from work and apply that knowledge to make the work more wholesome, useful and delightful. The ultimate objective is to empower the Learner to engage in socially useful and productive work. It aims at leading the learner to his/her rewarding career as well as development of the society.

Learning methodology

• Learners are given an overview of the course and its connection to life and work.
• Learners are then exposed to the specific tool(s) used in the course through the various real-life applications of the tool(s).
• Learners are then acquainted with the careers and the hierarchy of roles they can perform at workplaces after attaining increasing levels of mastery over the tool(s).
• Learners are then acquainted with the architecture of the tool or Tool Map so as to appreciate various parts of the tool, their functions and their inter-relations.
• Learners are then exposed to simple application development methodology by using the tool at the beginner’s level
• Learners then perform the differential skills related to the use of the tool to improve the given ready-made outputs.
• Learners are then engaged in appreciation of real-life case studies developed by the experts.
• Learners are then encouraged to proceed from appreciation to imitation of the experts.
• After imitation experience, they are required to improve the expert’s outputs so that they proceed from mere imitation to emulation.
• 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.

Evaluation Pattern of KLiC Courses consists of 4 Sections as per below table:

MKCL’s KLiC Certificate will be provided to the learner who will satisfy the below criteria:

1. Learners who have successfully completed above mentioned 3 Sections i.e. Section 1, Section 2 and Section 3
2. Additionally, learner should have completed Section 4 (i.e. Section 4 will comprise of SUPWs i.e. Socially Useful and Productive Work in form of Assignments)
   • Learner has to complete and upload minimum 2 out of 5 Assignments