TABLEAU TRAINING IN THRISSUR

2546 Reviews
4.8/5
1880 Learners

Overview

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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Why Radical Technologies

  • Highly practical oriented training
  • 25000+ Man-hours of Real-time projects & scenarios
  • 10 to 20+ year Experienced corporate trainers With Real Time Experience.
  • Building up professionals by highly experienced professionals
  • 100 % quality assurance in training .
  • 10000+ Placement Records and 180+ MNC’s and Consultancies Tie up

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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.

Course Curriculum

Course description

30-35 Hours

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

Pre-requisites

There are no formal prerequisites for this course; however, previous operating system administration experience will be very beneficial.

Course Content

Data Visualization And Analytics  – Tableau 

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.

 7.1 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

7.2 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
  • What is Tableau?
  •  What does the Tableau product suite comprise of? How Does Tableau Work?
  • Tableau Architecture
  • Connecting to Data & Introduction to data source concepts
  • Understanding the Tableau workspace
  • Dimensions and Measures
  • Data Types & Default Properties
  • Tour of Shelves & Marks Card
  • Using Show Me
  • Saving and Sharing your work-overview

7.3 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

7.4 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
  • Dimension versus Measures
  • Data Types
  • Discrete versus Continuous
  • 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

7.5 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

7.6 A Quick Review of Basic Calculations

Arithmetic Calculations

String Manipulation

Date Calculations

Quick Table Calculations

Custom Aggregations

Custom Calculated Fields

Logic and Conditional Calculations

 Conditional Filters

7.7 Advanced Table Calculations

Understanding Scope and Direction

Calculate on Results of Table Calculations

Complex Calculations

Difference From Average

Discrete Aggregations

Index to Ratios

7.8 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

Data types of parameters

Using parameters in calculated fields

 Inputting parameter values and parameter control options

Advanced Usage of Parameters

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

7.9 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

7.10 Best Practices in Formatting and Visualizing

  • Formatting Tips
  • Drag to Legend
  • Edit Legend
  • Highlighting
  • Labeling
  • Legends
  • Working with Nulls
  • Table Options
  • Annotations and Display Options
  • Introduction to Visualization Best Practices

 

7.11 Data Analysis And Reporting

  • Data Analysis using Pivot Tables – use of row and column shelf, values and filters
  • Difference between data layering and cross tabulation, summary reports, advantages and limitations
  • Change aggregation types and summarisation
  • Creating groups and bins in pivot data
  • Concept of calculated fields, usage and limitations
  • Changing report layouts – Outline, compact and tabular forms
  • Show and hide grand totals and subtotals
  • Creating summary reports using pivot tables

7.12 SQL: Data Manipulation (DML Commands)

  • Insert, Update & Delete statements
  • Select statement – Subsetting, Filters, Sorting. Removing Duplicates, grouping and aggregations etc
  • Where, Group By, Order by & Having clauses
  • SQL Functions – Number, Text, Date, etc
  • SQL Keywords – Top, Distinct, Null, etc
  • SQL Operators –  Relational (single valued and multi valued), Logical (and, or, not), Use of wildcard operators and wildcard characters, etc

7.13 SQL: Accessing Data From Multiple Tables Using SELECT

  • Append and JoinsUnion and Union All – Use & constraints
  • Intersect and Except statements
  • Table Joins – inner join, left join, right join, full join
  • Cross joins/cartesian products, self joins, natural joins etc
  • Inline views and sub-queries
  • Optimizing your work

7.14 Tableau: Data Handling & Summaries

  • Date Aggregations and Date parts
  • Cross tab & Tabular charts
  • Totals & Subtotals
  • Bar Charts & Stacked Bars
  • Line Graphs with Date & Without Date
  • Tree maps
  • Scatter Plots
  • Individual Axes, Blended Axes, Dual Axes & Combination chart
  • Parts of Views
  • Sorting
  • Trend lines/ Forecasting
  • Reference Lines
  • Filters/Context filters
  • Sets
    • In/Out Sets
    • Combined Sets
  • Grouping
  • Bins/Histograms
  • Drilling up/down – drill through
  • Hierarchies
  • View data
  • Actions (across sheets)

7.15 Tableau: Building Advanced Reports/ Maps

  • Explain latitude and longitude
  • Default location/Edit locations
  • Building geographical maps
  • Using Map layers

7.16 Tableau: Calculated Fields

  • Working with aggregate versus disaggregate data
  • Explain – #Number of Rows
  • Basic Functions (String, Date, Numbers etc)
  • Usage of Logical conditions

7.17 Tableau: Table Calculations

  • Explain scope and direction
  • Percent of Total, Running / Cumulative calculations
  • Introduction to LOD (Level of Detail) Expressions
  • User applications of Table calculations

7.18 Tableau: Parameters

  • Using Parameters in
    • Calculated fieldsBins
    • Reference Lines
    • Filters/Sets
  • Display Options (Dynamic Dimension/Measure Selection)
  • Create What-If/ Scenario analysis

7.19 Tableau: Building Interactive Dashboards

  • Combining multiple visualizations into a dashboard (overview)
  • Making your worksheet interactive by using actions
    • Filter
    • URL
    • Highlight
  • Complete Interactive Dashboard for Sales & Services

7.20 Tableau: Formatting

  • Options in Formatting your Visualization
  • Working with Labels and Annotations
  • Effective Use of Titles and Captions

7.21 Tableau: Working With Data

  • Multiple Table Joins
  • Data Blending
  • Difference between joining and blending data, and when we should do each
  • Toggle between to Direct Connection and Extracts

Training Options

Live Online Training

  • Highly practical oriented training
  • Installation of Software On your System
  • 24/7 Email and Phone Support
  • 100% Placement Assistance until you get placed
  • Global Certification Preparation
  • Trainer Student Interactive Portal
  • Assignments and Projects Guided by Mentors
  • And Many More Features

Course completion certificate and Global Certifications are part of our all Master Program

Live Classroom Training

  • Weekend / Weekdays / Morning / Evening Batches
  • 80:20 Practical and Theory Ratio
  • Real-life Case Studies
  • Easy Coverup if you missed any sessions
  • PSI | Kryterion | Redhat Test Centers
  • Life Time Video Classroom Access ( coming soon )
  • Resume Preparations and Mock Interviews
  • And Many More Features

Course completion certificate and Global Certifications are part of our all Master Program

Exam & Certification

Course Reviews

I had a wonderful experience in Radical technologies where i did training in Hadoop development under the guidance of Shanit Sir. He started from the very basic and covered and shared everything he knew in this field. He was brilliant and had a lot of experience in this field. We did hands on for every topic we covered, and that’s the most important thing because honestly theoretical knowledge cannot land you a job.
Rohit Agrawal Hadoop
I have recently completed Linux course under Anand Sir and can assuredly say that it is definitely the best Linux course in Pune. Since most of the Linux courses from other sources are strictly focused on clearing the certification, they will not provide an insight into real-world server administration, but that is not the case with Anand Sir’s course. Anand Sir being an experienced IT infrastructure professional has an excellent understanding of how a data center works and all these information is seamlessly integrated into his classes.
Manu Sunil Linux
I had undergone oracle DBA course under Chetan sir’s Guidance an it was a very good learning experience overall since they not only provide us with theoretical knowledge but also conduct lot of practical sessions which are really fruitful and also the way of teaching is very fine clear and crisp which is easier to understand , overall I had a great time for around 2 months , they really train you well.also make it a point to clear all your doubts and provide you with clear and in-depth concepts hence hope to join sometime again
Reema banerjee Oracle DBA
I have completed Oracle DBA 11g from Radical technology pune. Excellent trainer (chetna gupta ). The trainer kept the energy level up and kept us interested throughout. Very practical, hands on experience. Gave us real-time examples, excellent tips and hints. It was a great experience with Radical technologies.
Mrudul Bhokare Oracle DBA
Linux learning with Anand sir is truly different experience… I don’t have any idea about Linux and system but Anand sir taught with scratch…He has a great knowledge and the best trainer…he can solve all your queries related to Linux in very simple way and giving nice examples… 100 🌟 to Anand Sir.
Harsh Singh Parihar Linux
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