Exploring Advanced Tools and Techniques

• Explore Google Sheets for data processing, analysis, and automation using built-in functions and scripts.
• Create interactive dashboards and reports in Looker Studio for business intelligence and decision-making.
• Develop statistical computing and data analysis skills using R for various datasets and visualization techniques.
• Understand and apply exploratory data analysis (EDA) techniques for identifying patterns and anomalies.
• Leverage ChatGPT-4 for automated data cleaning, transformation, and predictive analytics.
• Integrate multiple tools, including Tableau, Python, R, SQL, and Google Sheets, for end-to-end data analysis.
• Apply advanced data visualization techniques to enhance data interpretation and storytelling.
• Use automation tools and scripting to optimize repetitive data processing tasks for efficiency.
• Analyse market trends, financial reports, and customer behaviours using advanced data analytics techniques.
• Develop hands-on experience in real-time dashboards, anomaly detection, and sentiment analysis using ChatGPT-4.

• Apply advanced Google Sheets techniques for sorting, filtering, and automating data workflows.
• Leverage Looker Studio to build interactive reports and share insights effectively.
• Utilize R for statistical computing, data manipulation, and visualization.
• Employ ChatGPT-4 for exploratory data analysis (EDA), anomaly detection, and predictive modeling.
• Integrate multiple data tools and platforms to solve business and analytical problems.
• Analyze and interpret data to generate meaningful insights for decision-making.
• Develop automation workflows for repetitive data tasks, improving efficiency and productivity.

The academic approach of the courses 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 an employee or entrepreneur as well as development of the community to which s/he belongs. Learning methodology:

• 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!

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

YCMOU Mark Sheet

Printed Mark Sheet will be issued by YCMOU on successful completion of Section 1, Section 2 and Section 3 and will be delivered to the learner by MKCL.
YCMOU Mark Sheet will be available only for Maharashtra jurisdiction learners

MKCL's KLiC Certificate

The 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