
Explore Tableau as a tool for business intelligence and analytics, learn how exploratory data analysis and explanatory data visualization tell compelling data stories with charts and dashboards.
Install Tableau by downloading the Tableau desktop, selecting your operating system, and following setup instructions, with a 14‑day trial and student one-year free access on two machines.
Explore the Tableau interface and data sources pane, connect to local files or servers with connectors and APIs, or open an existing workbook.
Explore the Tableau interface and learn how worksheets, dashboards, and stories relate within a workbook. Navigate the toolbar, data connections, and publishing options to visualize, combine charts, and share insights.
Learn to import and manage data in Tableau by loading CSV or JSON files, creating connections and data sources, and joining sheets. Explore dimensions, measures, and extract versus live connections.
Learn how to import an Excel file into Tableau, convert key-value pairs into a table, and explore schema level choices and the distribution index for hierarchical data.
Explore the difference between Tableau extracts and live connections, including how extracts use a tde file and refresh to pull new data from the source.
Explore inner, left outer, right outer, full outer joins and union in Tableau, and learn to merge two tables on common keys like id to create comprehensive reports.
Learn how to manage data in Tableau by creating a relationship between two data sources, linking fields, and configuring joins to count records per person and region.
Learn how to replace a data source in Tableau to refresh monthly or weekly dashboards while preserving the dashboard layout and data relationships with minimal disruption.
Identify Tableau data types and their operations by classifying variables as qualitative or quantitative, including nominal, ordinal, binary, discrete, continuous, and geographic types.
Pivot data from wide to long tables in Tableau, then use separate with a custom separator to split location and year, hide unused fields, and rename headers for clarity.
Learn how to change data types in Tableau, convert strings to numbers, and distinguish dimensions from measures, while handling missing values and relying on automatic data type detection.
Learn to create sets from multiple values in Tableau and group them for clearer analysis. Rename groups, move values between groups, and apply these techniques to fields like country.
Learn to build and drill through data hierarchies in Tableau, from year to quarter and country to city, and create customized hierarchies with drag and drop.
Explore visual encodings in Tableau, showing how position, lines, color, and density affect readability and accuracy across data types.
Explore how to build a bar chart in Tableau by organizing data across categories and subcategories, using color to represent categories, and adding numbers to prepare a dashboard.
Explore bar charts and side-by-side bars in Tableau to compare category and subcategory differences, apply numbers as text, and use Show Me recommendations to choose chart types.
Watch how to create and customize a line chart in Tableau, align time series data by month and year, apply dual axes and color to compare average service and profit.
Explore building and refining charts in Tableau to visualize profits and service data, compare line and distribution charts, and adjust marks, colors, and bin sizes for clarity and lognormal distribution.
Learn to create and refine highlight tables in Tableau, compare categories and costs, and adjust colors to emphasize high order priority items for clear data visualization.
Explore scatterplots and trendlines in Tableau 10 to visualize relationships between sales and profit, compare markets with color-coded segments, and fit linear models with reference lines.
Explore heatmaps in Tableau 10 using block size and color to encode values, with hierarchical categories like office supplies, technology, and furniture, plus geographic maps and formatting tweaks for readability.
Explore geographic mapping in Tableau, drill from country to city, and learn how size, color, and pie chart encodings reveal sales by city and category, with US market focus.
Engage in a hands-on Tableau 10 data visualization lesson that builds an impressive barchart by linking two tables, mapping profits to color, and handling nulls for clearer insights.
Explore bullet graphs in Tableau to compare profit across individuals, visualize distribution, and compare target versus actual values with readable labels and color options.
Learn how to build a Gantt chart in Tableau to visualize order schedules and processing times, using color, date differences, and year filters to analyze production data.
Explore building a calendar-style data visualization in Tableau showing sales by year and month, with category filters, hierarchy adjustments, currency formatting, and clean sheet naming.
Explore circle view in Tableau, build category and subcategory charts, adjust color palettes, drill into details, modify charts, perform calculations, and design dashboards.
Master Tableau operations, including adjusting date and axis scales, renaming fields, applying fixed ranges, coloring by category, and using reference lines, area, and box plots across worksheet, dashboard, story views.
Learn to create calculations and parameters in Tableau, understand the difference between calculations and table calculations, and use them to build a customized interactive dashboard or chart.
Learn how Tableau automatically aggregates data by category and use calculated fields to obtain true totals and correct percentages for your charts.
Create a parameter to drive performance calculations and color rules, linking it to table calculations for an interactive Tableau visualization.
Explore five common table calculations in Tableau, including first, last, index, lookup, and window average, and learn how partitioning and the window affect running totals and moving values.
Learn to craft a data storytelling dashboard by organizing time-based charts, applying forecasting visuals, and coordinating market and category views to reveal trends and costs.
Learn how to create and refine a log distribution chart in Tableau 10 by adjusting scales, labels, and titles to clearly convey data and handle negative values.
Add a reference line to show the maximum value across categories in each subcategory, and adjust color and formatting to highlight key insights.
Explore Tableau charts and visualizations by adjusting colors, titles, and data labels, switching between bar, pie, and map views to analyze market, category, subcategory, and service and profit relationships.
Modify charts in Tableau by adjusting colors, categories, and data types, convert values to percentages, and prep for dashboard construction in a hands-on data visualization session.
Create a Tableau dashboard by arranging charts, applying basic formatting, aligning colors, adjusting date ranges, and adding filters to tell a clear data story.
Learn to design a Tableau dashboard with tiled and floating layouts. Adjust device preview sizes and build calculated fields like date difference to summarize orders and profits.
Explore building your first interactive dashboard in Tableau by arranging charts, containers, and floating elements, adjusting layout, sizing, and titles for a clear data story.
Create and rename a second Tableau dashboard, organize sheets by hiding and showing them, and build charts and geographic maps to compare market, category, and profit with currency formatting.
Learn how to build a third Tableau dashboard, format charts and tables, present performance by category and market, and adjust titles and colors for readability.
Learn to create a story in Tableau, use data feeds and pie charts with dashboards, then name stories, adjust sizes, and add web pages to dashboards to unleash creativity.
Tableau is a Business Intelligence Software that helps companies visualize and understand their data. Tableau 10 is the most popular tool for reporting and Business Intelligence
Tableau is a Leader in 2017 Gartner Magic Quadrant for Business Intelligence & Analytics Platforms ( 5th Consecutive Year )
Average Salary for Tableau Developer is around $1,00,000 PA. Tableau has highest market share among its competitors.
By the end of the course you will Learn the skills needed to become a Tableau master and apply Tableau to real-life business scenarios.
Students are encouraged to follow a Hands-on approach with all practice exercises and examples included. You will practice in real time on Tableau yourself, making learning exciting and fun.
Tableau certification is a definite way to advance your career and will open doors to new Job opportunities in Business Intelligence, Data Analytics and Data Science.
This course is developed by Industry Expert and covers all relevant concepts so that you can apply them at your Work with ease.
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