Advanced Visualization Techniques and Python Fundamentals

• Develop foundational skills in Tableau for data visualization, including data import, integration, and exploration.
• Understand the concepts of dimensions, measures, and aggregations to create meaningful insights in Tableau.
• Learn to differentiate between discrete and continuous data and apply them effectively in visualizations.
• Gain proficiency in creating various types of charts, graphs, and dashboards for data storytelling in Tableau.
• Understand and implement different types of filters in Tableau to refine data analysis and reporting.
• Develop a strong foundation in Python, including data types, control structures, and functions.
• Apply Python for data manipulation, file handling, and error handling in real-world scenarios.
• Gain hands-on experience in SQL database management, including data retrieval, modification, and transactions.

• Demonstrate competence in Tableau by creating insightful visualizations and dashboards for data-driven decision-making.
• Use Python for data processing, analytics, and visualization, incorporating real-world datasets.
• Perform SQL database operations for structured data management and retrieval.

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!