COVID-19 Measures
Tableau Online Training | Tableau Course in Pune | ITView

Tableau Course Overview

Tableau is a Business Intelligence tool for visually analyzing the data. Users can create and distribute an interactive and shareable dashboard, which depict the trends, variations, and density of the data in the form of graphs and charts. Tableau can connect to files, relational and Big Data sources to acquire and process data. The software allows data blending and real-time collaboration, which makes it very unique. It is used by businesses, academic researchers, and many government organizations for visual data analysis. It is also positioned as a leader Business Intelligence and Analytics Platform in Gartner Magic Quadrant.
As a leading data visualization tool, Tableau has many desirable and unique features. Its powerful data discovery and exploration application allows you to answer important questions in seconds. You can use Tableau's drag and drop interface to visualize any data, explore different views, and even combine multiple databases easily. It does not require any complex scripting. Anyone who understands the business problems can address it with a visualization of the relevant data. After analysis, sharing with others is as easy as publishing to Tableau Server.

Become an expert in Data Visualization with Tableau Certification Course in Pune

Who can use Tableau ?

Tableau is designed for all those readers who want to create, read, write, and modify Business Intelligence Reports using Tableau. In addition, it will also be quite useful for those readers who would like to become a Data Analyst or a Data Scientist.

Tableau Features

Tableau provides solutions for all kinds of industries, departments, and data environments. Following are some unique features which enable Tableau to handle diverse scenarios.
  • Speed of Analysis
  • Self-Reliant
  • Visual Discovery
  • Blend Diverse Data Sets
  • Architecture Agnostic
  • Real-Time Collaboration
  • Centralized Data

Course Outline

Duration : 12-13 weekends
Sessions : Weekends - 2 per week
Prerequisites :
  • Some knowledge on various types of graphs and charts.
  • SQL will be an advantage.

Course Curriculum

  • Introduction to Tableau
  • Product Components
  • Architecture
  • Need of Data Visualization
  • Data Connectors
  • Data Model
  • File Types
  • Dimensions & Measures
  • Show Me
  • Installing Tableau
  • Different Tableau versions and pricing
  • Look and feel of dashboards created in Tableau
  • Joins Supported in Tableau.
  • Worksheet Options
  • Heap Map
  • Tree Map
  • Highlight table
  • Symbol Map
  • Filled Map
  • Scatter Plot
  • Gantt Chart
  • Bullet Graph
  • Sorting-computed and manual
  • Filters
  • Normal
  • Top
  • Context
  • Conditional
  • Cascading-All values and only relevant values.
  • User Filter overview
  • Parameters
  • Groups
  • Sets Basic.
  • Computed Sets
  • IN Members-Out Members
  • Combined Sets
  • Aggregated & non Aggregated Values
  • Adhoc Calculations
  • Types of Calculations (Basic, Table, LOD)
  • Bins
  • Difference Between (Groups, Sets, Bins)
  • Calculated Fields
  • ZN Function
  • How to find No of occurrence of letters?
  • How to find no of days to ship?
  • how to find month
  • Type Conversions
  • Logical Functions
  • IIF Function
  • User Functions
  • Table Calculations
  • First()
  • Last()
  • Index()
  • Rank()
  • Rank Dense()
  • Rank Modified
  • Rank Percentile
  • Rank Unique
  • Running Average
  • Windows Functions
  • Conditional Colouring using windows functions
  • Difference between Normal Aggregation & Windows Aggregations
  • Quick Table Calculations – Compute Using Table Across-Pane Across Etc.
  • Calculation Assistance
  • Running Total Difference
  • Percentage Difference
  • Percent of Total Percentile
  • Moving Average
  • YTD Total
  • Compound growth Rate
  • Rank Methods- “Competition, Modified Competition, Dense”
  • LOD Calculations-Fixed LOD
  • Include LOD
  • Exclude LOD with examples
  • Include
  • Exclude LOD
  • What is specified dimension & what is view, dimension
  • Analytics Window
  • Constant Line
  • Average Line
  • Median with quartiles & Totals
  • Model (Average with 95% CI, median with 95%, quartile, cluster)
  • Custom (Reference Line, Reference Band, Distribution, Band) with examples
  • Confidence Interval (CI)
  • Clusters
  • K-Means
  • Clustering
  • 4 Factors of forecasting (Trend, Seasonality, Cyclic Fluctuations, Residues/Noise)
  • Forecast Options
  • Forecast Models
  • Additive
  • Multiplicative
  • Quality
  • Trend Line
  • Types (Linear, Exponential, Logarithmic, Polynomial)
  • Options(Linear, Exponential, Logarithmic, Polynomial Degree)
  • Box plot
  • Dashboards
  • Purpose of Dashboard
  • Actions
  • Actions-Filters
  • Actiono Highlight
  • Action URL
  • Select
  • Hover
  • Menu in Actions with examples
  • Layout manager
  • Layout Objects
  • Horizontal Vertical
  • Objects
  • text
  • Images
  • Fixed and floating sheets
  • Story
  • Caption
  • number
  • dots, etc..
  • Data Blending Example
  • Cross-Database Joins
  • Data Extracts
  • JavaScript For Embedded Analytics Using
  • Dual axis maps
  • YTD
  • MTD
  • QTD Calculations
  • How to calculate Last Year Sales
  • Current Year Sales
  • Current Month & Last Month Sales
  • Year over Year Change of Sales
  • Gant Chart
  • Histogram
  • Funnel Chart
  • Traditional
  • funnel chart
  • Bump Chart
  • Donut Chart
  • Lollipop Chart
  • Waterfall Chart
  • Control Chart
  • User Interface
  • Publishing Workbooks
  • Data Sources
  • Scheduling
  • Extract Refresh
  • Creating Projects
  • Creating Groups
  • Creating
  • Users
  • Assigning Permissions to users
  • Subscriptions of reports
  • Data Source filters
  • Introduction to Data warehouse
  • Data warehouse Tools
  • What is Power BI?
  • Power BI – Flow of Activity
  • Building Blocks of Power BI
  • Power BI – Primary Tools : Power Pivot, Power Query, Power View, Power Map, Power Q&A, Power BI Desktop
  • Power BI Desktop – Install
  • Data Sources and Connections
  • Connect to Data in Power BI Desktop
  • How to use Query Editor in Power BI
  • Advanced Data Changes and Transformation
  • Views in Power BI Desktop
  • Modeling Data - Manage Data Relationship, Create Calculated Columns, Optimize Data Models
  • What is DAX?
  • Data Types in DAX
  • Calculation Types
  • DAX Functions : Date and Time, Time Intelligence, Information, Logical, Mathematical, Statistical, Text, Aggregate Measures in DAX
  • Table Relationships and DAX
  • Why Data Visualization
  • Practices for Data Visualization
  • How to use Visual in Power BI
  • Reports in Power BI
  • Charts in Power BI (Scatter, Waterfall, Funnel)
  • Slicers
  • Map Visualizations
  • Gauges and Single Number Cards
  • What Are Custom Visuals?
  • Office Store
  • Downloading Custom Visuals
  • Importing Custom Visuals in Power BI Report
  • KPI Visuals
  • Data Binding in Power BI
  • Data Gateways
  • Content packs
  • Power BI Report Server
  • Power BI Embedded Conceptual Model
  • Workspace Collection
  • Adding Power BI content to a Workspace
  • Power BI Q&A
  • Dashboard
  • Dashboard vs Reports
  • Creating a Dashboard
  • Dashboard Tiles
  • Pinning Tiles
  • Quick Insights with Power BI
  • Power BI Publisher for Excel

Tableau Training Includes

Projects

Assignments

Certificate
(course Completion)

Enroll the course