
Explore Tableau, a fast, self-service bi tool that connects to 45+ data sources, uses in-memory technology and a sql+dl visualization language for drag-and-drop reporting and analysis.
Explore Tableau desktop installation, version history, and licensing, including 64-bit requirements and 14-day trials. Learn data connections, live vs extracted, and how Excel and text files feed a Tableau workspace.
Compare live and extract connections in Tableau, connecting text files, spreadsheets, and databases like SQL Server, and learn refreshing data and moving from OLTP to OLAP for analysis.
Explore Tableau data connections, including live vs extract, the extract workflow (hyper, tde), and how to refresh data (full vs incremental) with Tableau Server automation.
Learn how Tableau connects to data sources, compares live connections and extract connections, and classifies fields into dimensions and measures, including discrete vs continuous and date hierarchies, to build worksheets.
Explore the Tableau data pane, compare twb and twbx formats, and master count versus count distinct for dimensions and measures with practical examples using region, orders, and year.
Explore dual-axis and blended axis charts in Tableau, including how to place measures on opposite sides, synchronize scales, and create dual combination charts with color legends.
Plot data on maps in Tableau by converting fields to geographical roles, auto and manual geocoding, and using symbol and field maps to reveal state, country, and zip code insights.
Learn how to source maps in Tableau from online, offline, and map services (WMS, Mapbox) and manage/export map sources, then build territories and hierarchies to resolve ambiguities in geographic data.
Explore how to apply and manage filters in Tableau to optimize performance, including worksheet and data source level filters, context filters, cascading filters, and dynamic top/bottom analysis.
Explore date filtering in Tableau, mastering discrete versus continuous date fields, and filtering by year, month, day, and relative date ranges.
Master Tableau filters by dimensions, dates, and measures, including aggregated and non-aggregated filters, and understand aggregation vs disaggregation for precise BI visualizations.
Explore cascading filters in Tableau, linking region, state, and city with show filter and only relevant values, and use context filters for top three customers in a state.
Learn to implement cascading filters in Tableau, with parent-child relationships, show filter, and context filters using only relevant values to enhance interactive data exploration.
Mastering Tableau-Data Visualization & Business Intelligence: adding actions and filters for interactivity. Learn about discrete vs continuous fields, parameters, and dual-axis maps.
Learn how to add interactivity in Tableau by applying sheet and data source filters, understand extract versus live connections, and share filters across sheets for performance.
Discover how to share filters across more than one data source in Tableau by using a common column and data blending to connect multiple sources.
Explore inner, left, right, and full outer joins in Tableau, and learn how to use static and dynamic sets for focused data analysis.
Explore static and dynamic sets, combined sets, and joins in Tableau 2020.2, including inner, left, and right joins, with grouping, binning, and dimension vs measure considerations.
Unlock the full potential of your data and transform your business intelligence skills with Tableau, the world’s leading data visualization tool. Whether you’re a beginner or an experienced professional, this comprehensive course, Mastering Tableau: Data Visualization & Business Intelligence, will guide you through everything you need to know to master Tableau and create powerful, actionable insights from your data.
In this course, you will learn:
Tableau Basics: Get started with Tableau’s user-friendly interface, learn how to connect to various data sources, and understand key concepts like dimensions, measures, and fields.
Advanced Data Visualization Techniques: Master creating complex charts such as heatmaps, scatter plots, dual-axis graphs, and more, while learning when and why to use them.
Business Intelligence Insights: Understand how to create dashboards that drive business decisions, using KPIs, metrics, and visualizations tailored to the needs of your business.
Data Preparation & Cleaning: Learn how to clean and prepare data within Tableau using Tableau Prep and advanced functions like joins, unions, and calculated fields.
Creating Interactive Dashboards: Learn how to design and build interactive dashboards and stories that allow users to explore data dynamically.
Master Advanced Features: Dive into advanced Tableau capabilities like Level of Detail (LOD) calculations, predictive analytics, and performance optimization to take your skills to the next level.
Tableau for Business Decision-Making: Discover how to leverage Tableau to derive actionable insights and make data-driven decisions that will impact your organization’s success.
By the end of this course, you will have mastered all essential Tableau skills, from connecting data sources and creating basic visualizations to designing interactive dashboards and analyzing complex datasets. Whether you're looking to enhance your career, boost your business intelligence capabilities, or start a new data-driven role, Tableau will be your key to unlocking better business outcomes.