Introduction to Data Analytics and Data Visualisation Essentials

• Develop proficiency in creating and enhancing various types of dashboards, including sales performance, expense tracking, and supermarket sales.
• Utilize advanced Excel features such as slicers, date range filters, and dynamic data integration to create interactive and insightful dashboards.
• Gain expertise in creating and customizing 2D and 3D charts in Excel for better data presentation and visualization.
• Learn to optimize sales data visualization using advanced chart types like 100% stacked bar charts and dynamic scatter charts.
• Understand and create multidimensional charts such as Pareto charts, histograms, and geographical visualizations.
• Perform trend analysis using charts and integrate dynamic target lines, milestone charts, and year-over-year comparisons.
• Learn to automate repetitive tasks in Excel using VBA macros to enhance efficiency in dashboard creation and data analysis.
• Create automated sales performance and delivery performance dashboards.
• Understand the fundamentals of Business Intelligence and its application in optimizing sales, inventory management, and customer experience.

• Create comprehensive and interactive Excel dashboards for sales performance, expense tracking, and supermarket analytics.
• Utilize advanced Excel features such as slicers, filters, and dynamic data integration to enhance dashboard functionality.
• Create and customize 2D and 3D charts to effectively visualize data trends and comparisons.
• Use advanced chart types like Pareto charts, histograms, and scatter charts to provide deeper insights into data.
• Leverage Power BI to create dynamic and visually appealing reports.

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