Tableau Introduction
- Introduction about the trainer and overall Agenda
- Introduction - Why Tableau ?
- Tableau, Analytics - Ice breaker
- Tableau Products & Introduction to Architecture - Part 1
- Tableau Architecture Part 2
- Tableau Architecture Part 3
- How to download and install tableau
- An Introduction to Tableau Desktop and History of Tableau
- Explore Tableau "Start Page"
- Location Based Analytics using Tableau
- Tableau User Interface
- Basic Tableau Visualization
- Quiz-1
Statistics for Tableau including Linear Regression, K-Means Clustering & R
- First Moment Business Decision
- Measures of Dispersion
- Barplot & Histogram
- Box Plot
- Tableau-Barplot, Color encoded, Nested, Stacked
- Histograms
- Histogram-Calculated Field
- Pareto Chart
- Overlaying Pareto Chart
- Barplot Dual Axis
- Barplot-Calculated Field
- Box Plot
- Scatter Diagram, Correlation Coefficient
- Confidence Interval-Part 1
- Scatter Plot using Tableau
- Confidence Interval-Part 2
- Simple Linear Regression
- Simple Linear Regression R
- Linear Regression Tableau-Part 1
- Linear Regression Tableau-Part 2
- Data Visualization Principles-Part 1
- Data Visualization Principles-Part 2
- Connecting to Data R
- Tableau - R connection
- K-means Clustering -Part 1
- K-means Clustering -Part 2
- Quiz-2
Working with Data using Tableau including Data Extraction & Blending
- Data Interpreter-Pivot
- Customizing Views, Data Types, Fields
- Using Clipboard, Hierarchies, Saving -Sharing Metadata
- Data Extraction
- Data Blending
- Tableau Hadoop Integration & Twitter data Extraction using Tableau
- Quiz 3
Various Charts in Tableau including Text Mining
- Trend Line Chart
- Tableau_Maps_Mark Types
- Line Chart Variants
- Text Table - Area Chart
- Various Charts-Part 1
- Pie Chart
- Bubble Chart
- Bullet Chart
- Waterfall Chart
- Reference Lines, Bands, Distributions
- Word Cloud
- Quiz 4
Bonus Section...
- Word Cloud_Text Mining
Forecasting/Time series/Trend lines in Tableau
- Forecasting using Tableau
- Forecasting-Why Forecasting & types of Forecasts
- Forecasting - Who Forecasts?
- Forecasting Strategy-Defining goal
- Forecasting-Data Collection,Various components
- Forecasting Seasonal, Trend, Random components
- Forecasting-Data Exploration & Visualization
- Forecasting-Data Visualization Principles
- Forecasting-Error measures
- Exploratory Data Analysis Using Walmart Footfalls Example Part-1
- Exploratory Data Analysis Using Walmart Footfalls Example Part-2
- Evaluating Predictive Accuracy
- Forecasting Different Methods
- Recap Forecasting Part-1
- Quiz-5
Forecasting Model Based Approaches
- Forecasting Methods-Linear Model
- Forecasting Methods-Exponential, Quadratic and Additive Seasonality Models
- Forecasting Methods- Additive seasonality with trend,Multiplicative seasonality
- Forecasting-Irregular Components.
- Forecasting - Linear Regression and Auto Regression
- Forecasting Autocorrelation Model
- Forecasting-Model Based Approach VS Data Driven Approach
- Forecasting-Understanding Moving Average
- Forecast Methods based on Smoothing
- Forecast Methods Exponential Smoothing
Forecast Data Driven Approach
- Forecast Data Driven- Holts and Winter Method
- Forecast Data Driven-Seasonal Indexes
- Forecast Seasonal Indexes,Centered Moving Average Hands On
- Forecasting -Logistic Regression using XLminar
Tableau Filtering
- Tableau Filtering_Part 1
- Tableau Filtering_Part 2
