Data Visualization using Tableau
Objective:
Visualization and storytelling are very important part of data science journey and skillset. The participants will be equipped with these skills in this course. The focus will be on the visualization concepts, principles and techniques which will be implemented using Tableau. This course will start from the basics of visualization, its importance and some use cases and quickly move into the advanced principles and factors which are immensely important to learn for a visualization expert. All these techniques will come into visual reality using Tableau.
Learning Outcomes:
1. Learn the basic as well as advanced features of visualization
2. Understand the principles and techniques to visualize data correctly, efficiently and meaningfully
3. Understand and learn to use data calculations in the data to add value to visualization
4. Learning to create objects, charts, reports and dashboards using Tableau
5. Learning the skill of storytelling using Tableau
Lecture-wise Content:
| Session | Topic |
| 1 | Data visualization and its importance in Data Science |
| 2 | Introduction to Tableau - basic components, attributes and working with the environment |
| 3 | Field types and visual cues - data types, data roles, visual cues for fields, rows or column shelves |
| 4 | Data connection in Tableau - connecting data and impirting, joins, data blending, custom SQL for Tableau |
| 5 | Organizing and simplifying data - filters, aggregation, sorting, combination, groups, aliases, sets, totals, bins etc. |
| 6 | Formatting and Annotations - Geocoding, captions and views, Titles, working with Axis, lables and other componet of charts and graphs |
| 7 | Special field types - data hierarchies, pivots, working with dates |
| 8 | Chart Types - understanding thcorrect chart type to be used in every context, working with various chart types in Tableau |
| 9 | Calculations - Strings Date Logical and Arithmetic Calculation, aggregation, totaling, ad-hoc analysis and creating meaningful inferences |
| 10 | Creating and using parmeters - understanding, creating and using parameters |
| 11 | Mapping - modifying locations, imprting and working with geocoding, working with geographic data |
| 12 | Statistics - working with distributions, trend lines, summary charts, |
| 13 | Dashboards - building interactive dashboards, best practices, sharing reports and dashboards with different level of decision makers |
| 14 | Storytelling - the art and science |
| 15 | Use case - Implementing the learning to create a story using dashboards |