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Tableau Data Analytics and Data Visualization Course
Rating: 3.5 out of 5(6 ratings)
25 students

Tableau Data Analytics and Data Visualization Course

Tableau is a self driven data visualization tool. Drive insight discovery with the data visualization app
Created byAmit Kumar
Last updated 11/2021
English
English [Auto],

What you'll learn

  • Tableau Business Intelligence Platform
  • Able to develop dashboard as per the business needs
  • Able to be expert in data analytics and Data Visualization
  • The career path will be wider so that a student can achieve a successful position in IT industry
  • Best practices for implementing BI dashboard

Course content

1 section15 lectures13h 18m total length
  • Introduction to Tableau Data Analytics and Data Visualization Platform30:13

    Explore Tableau as a business intelligence platform, covering visual analytics, data integration, ETL, and dashboards that connect multiple data sources for real-time or offline analysis.

  • Tableau Data Extraction & Modeling Session1:03:49

    Explore Tableau data extraction and modeling techniques to build a relational data model from customer, orders, products, and invoices, then create dashboards with incremental extracts and interactive visualizations.

  • Intro to viz (Bar chart, Tree map, word cloud, filters, dashboard)58:33

    Learn to create bar charts, tree maps, and word clouds in Tableau, apply color by dimension, and build dashboards with global and context filters for multi-chart analysis.

  • Intro to viz (Line chart, Circle view, dual axis line, side by side live)1:00:59

    Explore viz essentials with line charts, circle views, dual axis lines, and side-by-side dashboards, including how to rename dimensions, customize colors, and switch between single and multi-dimensional data.

  • Intro to viz (Pie chart, Loading data from Excel)53:07

    Learn to create visualizations in Tableau, starting with a pie chart, and load and join Excel data with live or extract connections, apply filters, and build dashboards for data storytelling.

  • Intro to viz (Box plot, Scatterplot, Area, combo)1:01:04

    Explore how to create box plots, scatter plots, area charts, and combo charts in Tableau, and build line charts with dual axis and composite visuals using dimensions and measures.

  • Intro to viz - Symbol Map , Area map, Waterfall chart51:04

    Learn to create symbol, area, and waterfall visualizations in Tableau using geocoding, geographic fields, map layers, including OpenStreetMap and satellite views, for geography-based insights.

  • Intro to viz - Bullet Chart, Bubble chart, Table object55:58

    Learn to build bullet charts, bubble charts, and table objects in Tableau, compare targets to actuals, and tailor dimensions, measures, colors, and thresholds for clear data insight.

  • Table object, Calculated fields, Story, functions (date, string, if else)1:00:36

    Explore building dashboards and stories in Tableau by creating calculated fields, conditional columns, and color coding using date and string functions, including if-else logic, to analyze data effectively.

  • Parameter, Forecasting, Predictive Analytics, trend line, Reference line57:12

    Use parameters to drive what-if analyses, apply forecasting and predictive analytics, and add trend lines and reference lines for dynamic insights in Tableau, with heat maps and conditional coloring.

  • Highlight table, Action and Triggers30:34

    Create interactive Tableau dashboards that use highlights, actions, and triggers to navigate between views based on user selections. Apply filters to reveal customer and order analytics across stories and dashboards.

  • Landing Page, Groups & Sets, Highlighter53:42

    Create a landing page in Tableau and manage customers with groups and sets, using highlighter and color rules to visualize filtered data for analytics and dashboards.

  • Action, Filter, Groups , Sets, Annotation, Case statement1:10:29

    Explore how to apply actions, filters, groups, and sets in Tableau, use case statements for conditional analysis, and annotate dashboards for clear, interactive data storytelling.

  • Tableau Administration - Tableau online52:35

    Tableau online administration covers server and cloud deployments, sites, and group-based permissions. Learn how to configure authentication, publishing rights, and access controls.

  • Tableau Administration - Tableau Public39:02

    Publish Tableau dashboards to public, on-premises, or cloud deployments, understanding licensing, security, and user access. Learn data extracts, live sources, and scheduling refresh for shared analytics.

Requirements

  • Basic Knowledge on SQL
  • Basic knowledge on OOPs concept
  • Basic knowledge on Data Warehousing

Description

Tableau is a complete data analytics platform that sets the benchmark for a new generation of analytics. With its one-of-a-kind associative analytics engine, sophisticated AI, and high performance cloud platform, you can empower everyone in your organization to make better decisions daily, creating a truly data-driven enterprise.


Tableau is for all of us – executives, decision-makers, analysts... you. Enable any BI use case and let users freely search and explore to uncover insights they won’t find with query-based BI tools.


Insight Advisor, your AI assistant in Tableau, instantly raises the data literacy of every user through insight generation, task automation, and search & natural-language interaction.


Get the convenience of on-premise for the most demanding enterprises. Scale confidently with powerful data integration, open APIs, and flexible governance.


Tableau can easily combine, load, visualize, and explore your data, no matter how large (or small). Ask any question and follow your curiosity. Search, select, drill down, or zoom out to find your answer or instantly shift focus if something sparks your interest. Every chart, table, and object is interactive and instantly updates to the current context with each action. Smart visualizations reveal the shape of your data and pinpoint outliers. And get faster time to insight with assistance from Insight Advisor for chart creation, association recommendations, and data preparation.

Who this course is for:

  • Beginners
  • Programmers
  • Project Managers
  • HR professionals
  • Accounts Processionals
  • MIS executives
  • Business Analyst
  • Sales Executices