Advanced Excel

• Understand the Integration and Utility of Microsoft 365 and Excel 365: Learn how Excel 365 integrates with the broader suite of Microsoft 365 applications, emphasizing cloud-based collaboration and real-time data analysis.
• Master the Basics of Microsoft Excel: Gain foundational knowledge in Excel operations, including data entry, formula application, and basic spreadsheet navigation and management.
• Apply Custom Formats and Layouts: Able to customize Excel sheets using styles, templates, views, and outlines to enhance readability and presentation of data.
• Utilize Conditional Formatting for Data Analysis: Learn to apply conditional formatting to highlight or distinguish data based on specific criteria, aiding in more effective data analysis and decision-making.
• Effectively Manage and Share Excel Workbooks: Manage workbooks efficiently and share them securely within the Microsoft 365 ecosystem, leveraging Excel's exclusive features for collaboration.
• 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.
• Learn to automate repetitive tasks and streamline data management processes in Excel using Macros and Visual Basic for Applications (VBA), including creating user forms and interacting with databases.
• Gain foundational knowledge about DBMS concepts, focusing on how databases are structured, managed, and utilized in data storage and retrieval.
• Explore the capabilities of Power Pivot in Excel, including data modeling, creating relationships, and utilizing DAX formulas for enhanced data analysis.
• Excel in the use of Power Query in Excel for cleaning, combining, and appending data to prepare it for analysis or reporting.
• Understand the principles of Excel automation using VBA, aiming to improve efficiency and functionality in data processing and reporting tasks.
• Learn the basics of Power BI for creating interactive reports and dashboards that enable data-driven decision-making in businesses.
• Acquire skills in using Google Looker Studio for creating, managing, and sharing interactive data reports and visualizations.
• Identify the components and functionalities of Macros in Excel, including the creation of input forms and database tabs
• Organize the steps involved in designing and modifying UserForms for data entry and modification in Excel
• Define the purpose and types of Database Management Systems (DBMS), including examples like MySQL and Oracle
• Compare and contrast cloud-based and local storage models for hosting DBMS servers
• Summarize the fundamentals of Power Pivot, including data analysis techniques and DAX formulas
• Differentiate between Pivot Tables and Pivot Charts and their application in Power Pivot for data visualization
• Categorize the features and functions of Power Query for data transformation and cleaning in Excel
• Examine advanced data transformation techniques in Power Query, such as error handling and conditional logic
• Predict the impact of various data visualization techniques, including Pivot Tables, Pivot Charts, and Dashboards, in Power Query
• Reorganize VBA code for automating tasks in Excel, including error handling and debugging techniques
• Operate Excel features and functions using VBA code, such as cell referencing, formatting, and automating data entry
• Diagnose and troubleshoot errors in VBA code, including identifying and correcting syntax and logic errors
• Arrange the steps involved in creating interactive dashboards in Power BI, including data modeling, visualization design, and publishing

• Accounting and Finance Students – To gain practical skills in managing data, preparing reports, and performing financial analysis.
• Business and Management Students – Essential for understanding data-driven decision-making, budgeting, and inventory management.
• Data Analysts and Aspiring Data Professionals – Offers foundational tools like pivot tables, formulas, and scenario analysis for handling large datasets.
• Retail Store Managers and Logistics Staff – Useful for inventory tracking, sales analysis, and reporting.
• Human Resources (HR) Professionals – Beneficial for managing employee data, attendance records, and performance analysis.
• Project Managers – Enables tracking project progress, managing resources, and scenario planning for effective project outcomes.
• Entrepreneurs and Small Business Owners – Essential for budgeting, sales analysis, and performance reporting to optimize business decisions.

• Demonstrate the ability to use Excel 365 as part of the Microsoft 365 suite to collaborate on projects, access documents from anywhere, and utilize cloud-based features for enhanced productivity.
• Navigate and Utilize Excel Effectively: Exhibit proficiency in navigating the Excel user interface, performing basic operations, and applying formulas and functions for data manipulation.
• Customize Excel Spreadsheets: Apply custom formats, styles, and layouts to Excel documents, making data more accessible and presentations more professional.
• Analyse Data with Conditional Formatting: Use conditional formatting to automatically highlight important data points, trends, or outliers, facilitating quicker analysis and insights.
• Collaborate and Manage Workbooks: Manage Excel workbooks effectively, including sharing and securing data within the Microsoft 365 environment, and leverage Excel's unique features to enhance collaboration and data 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.
• Automate Excel Tasks with Macros and VBA: Create macros and write VBA code to automate tasks in Excel, such as managing customer information, handling personal finance data, and modifying entries in a database.
• Apply DBMS Principles: Understand the basic principles of DBMS and how they apply to data management and storage, enhancing their ability to work with databases effectively.
• Analyse Data Using Power Pivot: Utilize Power Pivot for complex data analysis, create data models, establish relationships between data sets, and apply DAX formulas to extract actionable insights.
• Transform Data with Power Query: Use Power Query to efficiently clean, combine, and append data, preparing it for analysis or reporting with enhanced accuracy and relevance.
• Implement Excel and VBA Automation: Develop automation solutions in Excel using VBA, improving workflow efficiency, data analysis, and report generation processes.
• Create Business Intelligence Solutions with Power BI: Design and implement interactive reports and dashboards in Power BI, facilitating advanced data visualization and business intelligence capabilities.
• Design Effective Reports with Google Looker Studio: Create, manage, and share interactive reports using Google Looker Studio, applying best practices for effective data visualization and report design.
• Interpret the functionality of Macros in Excel and demonstrate proficiency in designing input forms and database tabs
• Illustrate the use of IF conditions and variables in Macros to enhance automation and data processing capabilities
• Estimate the effectiveness of Power Pivot in data analysis and modelling, including the creation of relationships and DAX formulas
• Defend the importance of Power Pivot for advanced data analysis and visualization, including cross-filtering and pivot tables
• Compare Power Query functions and techniques for data transformation and loading, including error handling and conditional logic
• Review Power Query data visualization and reporting techniques, such as dashboards and dynamic visualizations
• Rewrite VBA code to automate tasks and Excel features, including user interface customization and data analysis
• Construct VBA procedures and control structures to manage data and automate repetitive tasks effectively
• Estimate the impact of VBA functions and subroutines on Excel automation and error handling
• Assess the effectiveness of automating tasks and Excel features using VBA, including font, border, and alignment formatting
• Combine Power BI features for data transformation, modelling, and relationship building to create interactive dashboards and reports
• Solve real-world data analysis challenges using Power BI visualizations, filters, and drill-through capabilities to derive actionable insights.

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