DATA SCIENCE WITH TABLEAU

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Course Description

Tableau is one of the most popular Data Visualization tools used by Data Science and Business Intelligence professionals today. It enables you to create insightful and impactful visualizations in an interactive and colorful way. It's use is not just for creating traditional graphs and charts. By building insight and weaving narrative, students will be empowered to harness data in a striking way that provides value to organizations large and small.

What you will Learn !

Data Science with Tableau Syllabus

Unit -1

Importance of Tableau and How It Fits With Computing, Learning, & Analysis Today
Connecting with Data & Using Multiple Sources (Relational Logic, Joining, Blending)
Organizing your Data (Sorting, Filtering, Hierarchies, Groups, Subsets, Labeling, Aggregation)
Measures in View (Individual/Blended/Dual Axes, Cross-tabs, Highlight Tables, Reference Lines)

Unit -2

Calculations in Tableau (Calculation Syntax & Functions, Level of Detail)
Creating and Using Parameters To Power Interactive Visualizations
Visualizing Relationships Between Numerical Values (Scatter Plots, Heat Maps)
Visualizing Breakdowns of the Whole (Boxplots, Tree Maps, Donut Chart, Sunburst Diagrams)

Unit -3

Visualizing Structure, Relationships, & Trends through Machine Learning (Clustering, Regression, Forecasting, Integrating R Libraries)
Mapping Data Geographically
Bringing Together Visualization To Offer Insight & Narrative (Dashboards, Stories)

Unit -4

Develop capstone project using your own data and have your own goal
Project deliverable sheet

Requirements :

Minimum Bachelor’s Degree with minimum 50% or equivalent passing marks. No coding experience required.
Engineers, Marketing & Sales Professionals, Freshers, Domain Experts, Software & IT Professionals