Tableau for Business Analytics & Data Visualization

In this session, you’ll get introduced to the Tableau ecosystem, including Tableau Public, Tableau Desktop, and Tableau Student. You’ll learn how to install Tableau, navigate the home screen, connect to data, and understand the Data Source and Worksheet interfaces. This class also covers core concepts such as data types, dimensions vs measures, discrete vs continuous fields, basic data connections (pivot, union, blending), and aggregation controls—building a strong foundation for data visualization in Tableau.

In Day 2, you’ll learn how to work with filters in Tableau, including dimension, measure, and date filters with practical use cases. This session covers data blending concepts using primary and secondary datasets, understanding blend relationships, and real-world examples like business and retail datasets. You’ll also explore Tableau’s Analytics features such as reference lines, bands, distributions, forecasting, clustering, and statistical lines, along with using aliases to improve data readability and presentation.

In Day 3, you’ll dive into Tableau calculations, starting with Quick Table Calculations and understanding how they work on measure fields within visualizations. You’ll then learn how to create calculated fields to generate new data logic using built-in Tableau functions, including essential date functions like DATEPART for day, week, and month analysis. This session also introduces parameters, showing how to use them through the UI and calculated fields to create dynamic, interactive reports where users can control values directly from the dashboard.

In Day 4, you’ll learn Level of Detail (LOD) expressions to control calculations across different data granularities such as country, state, city, and county. This session covers FIXED, INCLUDE, and EXCLUDE LODs, helping you perform accurate calculations beyond the view level. You’ll also create a variety of charts in Tableau, including bar, text, highlight, line, area, dual-axis, word cloud, stacked bar, funnel, and pie charts—building strong visualization skills for real-world business scenarios.

In Day 5, you’ll build advanced Tableau visualizations including histograms, sparklines, packed bubbles, treemaps, heatmaps, bullet charts, lollipop charts, scatter plots, and box-and-whisker plots. You’ll learn distribution analysis using histograms, create bins to analyze ranges of data, and use bullet charts to compare actual vs target values with reference lines and distributions. This session also covers symbol and filled maps, scatter plot analysis using R-squared values to identify strong, moderate, and weak relationships, basic prediction concepts, p-values, and detecting outliers using box plots—helping you uncover patterns and insights hidden in data.

In Day 6, you’ll learn how to work with joins in Tableau using multiple tables and common primary key fields, including inner, left, right, and outer joins. You’ll understand how each join impacts data results and when to use them in real projects. The session then focuses on building dashboards as a collection of interactive sheets and creating stories to present insights across multiple views—similar to a presentation. You’ll also explore basic dashboard interactions and navigation techniques to create clean, professional Tableau reports