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JIMS Rohini Organized Tableau workshop


The objective of the event: -

  • To Enhance Career Prospects: Introducing Tableau in the curriculum helps students develop sought-after data visualization skills, increasing their competitiveness in the job market upon graduation.
  • To Provide Practical Experience: Incorporating Tableau into coursework allows students to gain hands-on experience in analyzing and visualizing real-world data sets, bridging the gap between theoretical knowledge and practical application.
  • To Foster Data-Driven Decision Making:

Learning Outcomes:

Learning Tableau enables students to effectively communicate insights from data, empowering them to make informed decisions across academic, professional, and personal domains.


Workshop:

During the session, anchor Manya Dhingra introduced Mr.Moksh Grover, a Datacamp certified Tableau professional and Data Analyst at Moksha Wellness. As an alumnus of our college JIMS, Moksh sir brings a unique blend of academic excellence and practical expertise to the table


Module 1:

In module 1, we kick off with an insightful introduction to Excel, delving into its paramount importance and exploring the fundamentals of its usage. We navigate through the terrain of Excel’s functionalities, understanding how to effectively wield its tools to streamline tasks and enhance productivity. Subsequently, we delve into the realm of Power Query, unravelling its prowess in extracting files, seamlessly combining data sets, orchestrating data sorting operations, applying precision filters, and adeptly managing columns with ease.

A crucial aspect of our journey involves grasping the distinction between discrete dimensions, depicted in blue, and continuous measures, symbolized in green. We unravel the nuances of employing filters and sorting techniques, equipping ourselves with an arsenal of strategies to refine data representation. We delve into various types of filters, ranging from extract filters and data source filters to context filters, dimension filters, and measure filters, comprehending their respective roles in refining data granularity and enhancing analytical precision.

Furthermore, we embark on a voyage into the realm of graph analysis and generation, unravelling the intricacies of visualizing data trends and patterns. We explore the default sorting mechanism in Tableau, which arranges data alphabetically based on dimensions, empowering us to effectively structure and present our insights. Finally, we apply our newfound knowledge to real-world scenarios, leveraging formulas to tackle challenges related to sales optimization and quantity management.


Module 2:

Building upon the foundation laid in module 1, we delve deeper into the art of data visualization, mastering the craft of creating compelling bar graphs, dynamic maps, and intuitive world indicators. We explore the intricacies of forecasting methodologies, equipping ourselves with the tools to anticipate trends and make informed decisions. Moreover, we delve into the realm of customization, learning how to tailor visualizations to suit specific preferences and requirements, thereby enhancing their communicative efficacy and impact.



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