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TABLEAU

The Analytics segment is a fast changing domain in the IT industry and needs to be in pace with the current trends. At Radical we ensure to keep in pace with the top 3 Analytical tools in the market as per the Gartner study so that the niche availability of resources remain under your belt and the opportunities to explore the BI world remains open at any point of time.

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    Best Tableau Training in Pune

    Audience:
    This course is designed to provide you with the skills required to become a

    Tableau power user. The course is designed for the professional who has solid working experience with Tableau and wants to take it to the next level. You should have a deep understanding of all the fundamental concepts of building worksheets and dashboards, but may scratch your head when working with more complex issues.

    Duration:
    30-35 Hours

    Pre-requisites:
    None

    Learning Objectives: At the end of this class, the student will be able to:

    • Build advanced chart types and visualizations
    • Build complex calculations to manipulate your data
    • Work with statistics and statistical techniques
    • Work with parameters and input controls
    • Implement advanced geographic mapping techniques and use custom images to build spatial visualizations of non-geographic data
    • Implement all options in working with data: Joining multiple tables, data blending, performance considerations and working with the Data Engine, and understand when to implement which connection method.
    • Build better dashboards using techniques for guided analytics, interactive dashboard design and visual best practices
    • Implement many efficiency tips and tricks
    • Understand the basics of Tableau Server and other options for sharing your results

    Course Topics:

    Introduction and Getting Started

    • Why Tableau? Why Visualization?
    • The Tableau Product Line
    • Level Setting – Terminology
    • Getting Started – creating some powerful visualizations quickly
    • Review of some Key Fundamental Concepts

    Filtering, Sorting & Grouping– Filtering, Sorting and Grouping are fundamental concepts
    when working with and analyzing data. We will briefly review these topics as they apply to Tableau

    • Advanced options for filtering and hiding
    • Understanding your many options for ordering and grouping your data: Sort, Groups, Bins, Sets
    • Understanding how all of these options inter-relate

    Working with Data– In the Advanced class, we will understand the difference between joining and blending data, and when we should do each. We will also consider the implications of working with large data sets, and consider options for when and how to work with extracts and the data engine. We will also investigate best practices in “sharing” data sources for Tableau Server users.

    • Data Types and Roles

                    o Dimension versus Measures

    o Data Types

    o Discrete versus Continuous

    o The meaning of pill colors

    • Database Joins
    • Data Blending
    • Working with the Data Engine / Extracts and scheduling extract updates
    • Working with Custom SQL
    • Adding to Context
    • Switching to Direct Connection

    Working with Calculated Data and Statistics– In the Fundamentals Class, we were introduced to some basic calculations: basic string and arithmetic calculations and ratios and quick table calculations. In the Advanced class, we will extend those concepts to understand the intricacies of manipulating data within Tableau

    • A Quick Review of Basic Calculations

    o Arithmetic Calculations

    o String Manipulation

    o Date Calculations

    o Quick Table Calculations

    o Custom Aggregations

    o Custom Calculated Fields

    o Logic and Conditional Calculations

    o Conditional Filters

    • Advanced Table Calculations

    o Understanding Scope and Direction

    o Calculate on Results of Table Calculations

    o Complex Calculations

    o Difference From Average

    o Discrete Aggregations

    o Index to Ratios

    Working with Parameters– In the Fundamentals class, we were introduced to parameters – How to create a parameter and use it in a calculation. In the Advanced class, we will go into more details on how we can use parameters to modify our title, create What-If analysis, etc

    • Parameter Basics

    o Data types of parameters

    o Using parameters in calculated fields

    o Inputting parameter values and parameter control options

    • Advanced Usage of Parameters

    o Using parameters for titles, field selections, logic statements, Top X

     

    Building Advanced Chart Types and Visualizations / Tips & Tricks– This topic covers how to create some of the chart types and visualizations that may be less obvious in Tableau. It also covers some of the more common tips & tricks / techniques that we use to assist customers in solving some of their more complex problems.

    • Bar in Bar
    • Box Plot
    • Bullet Chart
    • Custom Shapes
    • Gantt Chart
    • Heat Map
    • Pareto Chart
    • Spark Line
    • KPI Chart

    Best Practices in Formatting and Visualizing

    • Formatting Tips

    o Drag to Legend

    o Edit Legend

    o Highlighting

    o Labeling

    o Legends

    o Working with Nulls

    o Table Options

    o Annotations and Display Options

    • Introduction to Visualization Best Practices

    Depending on the selection of the BI tool we train you to crack the first step of Data Analytics certification (Developer) with the guidance of the trainer and the most expected questions in the certification along with the tips and tricks to quickly make your answers by interpreting the questions asked in the certification.

    The trainer has 10+ years of experience into Business Intelligence blended with Data Analytics and real time BI implementations of Banking,Retail and Pharma domain which implement BI on a very high scale. Along with the industrial experience he carries a suite of different use cases in the industry and their solutions as a part of the training. The past candidates have successfully been able to grasp the tool after being taught and keep receiving solutions for existing problems in the Real time experience and bond shared by the trainer.

    Radical believes in giving Quality to their candidates by gelling up the real time industry experience shared by the trainers. We believe in taking the tour of the technology to a deep level assuming that it provides value in the long rum to its students and they keep up a good bond with the institute and the trainer in their long journey. Swift responses to queries, Alternate solutions to problems and real time use cases of business makes it unique as a training institute.

    The next path after Tableau is to enter as a business Analyst role and start with the slice and dice reporting along with self driven reporting. Gradually we need to enter into Analytics by knowing the inbuilt K-means algorithm of Tableau and then proceed towards ‘R’ followed by machine learning and Artificial Intelligence.

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