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    Course content

    About QlikView Designer Training Program in Hughestown

  • Course Introduction and Syllabus
  • How QlikView Works
  • QlikView Architecture - 10,000 Feet Overview
  • Introduction to QlikView's User Interface
  • Key Performance Indicators (KPI) and the Data Model
  • Dimensions and Measures
  • Install QlikView Desktop

  • Create a Data Model
  • Application Design Basics
  • Application Overview
  • The Data Model

  • Data Visualization Principles
  • Design Template
  • Build Dashboard - First Steps
  • Create Linked Objects
  • Sheet and Sheet Objects

  • Which Chart to Use When?
  • Text Objects: Add Key Performance Indicators (KPI)
  • Bar Chart and Scatter Plot Chart
  • Pivot Table
  • Dimension Limit, Straight Table, and Pie Chart Explained
  • Add Dimension Limit and Pie Chart
  • Straight Table
  • Exploring Charts

  • Basics of Set Analysis
  • Set Analysis Basics
  • Add a Multi Box
  • Stacked Bar Chart
  • Container Object, Cyclic and Drill-Down Groups
  • Add a Container Object
  • Add a Line Chart with Dynamic Labels
  • Advanced Interface Design

  • Year Over Year (YoY) Sales Comparison Using Set Analysis
  • Alternate States
  • Comparative Analysis Using Alternate States
  • Conditional Show Part I
  • Conditional Show Part II
  • Bookmarks
  • Dynamic Bookmarks
  • What-If Analysis
  • Comparative Analysis

  • Smart Filters
  • Visualization Best Practices
  • Final Application
  • Visualization Best Practices

  • How to Be Successful with This Course
  • Tune Your Browser to Get 1080p HD All of the Time
  • Download, Install & Register Qlik Sense

  • Overview & Qlik Sense Release Cycle
  • Project Design Analysis Life Cycle & Requirements
  • Identify Your Data to Use in the Dashboard - Part 1
  • Identify Your Data to Use in the Dashboard - Final
  • The Qlik Associative Model - Part 1
  • The Qlik Associative Model - Final
  • App Creation and First Data Load
  • Add a Calculated Field to the Table
  • Exercise 2.1 - Add a Calculated Field
  • Exercise 2.1 Solution - Add a Calculated Field
  • Bucketing (Discretisation) Values in the Fact Data
  • Exercise 2.2 - Bucketing Values in the Fact Data
  • Exercise 2.2 Solution - Bucketing Values in the Fact Data
  • Repair Fact Data Using Replace on a Column
  • Exercise 2.3 - Repair Fact Data Using Replace on a Column
  • Exercise 2.3 Solution - Repair Fact Data Using Replace on a Column
  • Converting Hard NULL Values
  • Exercise 2.4 - Converting a Value to a NULL
  • Exercise Solution 2.4 - Converting Hard NULL Values
  • Load the Dimension Data to Add Value to the Fact Data
  • Exercise 2.5 - Add the Next Dimension
  • Exercise 2.5 Solution - Add the Next Dimension
  • Manual Association of the Dimension Key
  • Exercise 2.6 - Manual Association of the Dimension Key
  • Exercise 2.6 Solution - Manual Association of the Dimension Key
  • Split a Field to Reveal the Dimension Key
  • Exercise 2.7 - Split a Field to Reveal the Dimension Key
  • Exercise 2.7 Solution - Split a Field to Reveal the Dimension Key

  • Editing App Attributes
  • Create the CEO Overview Sheet and Add a KPI
  • Exercise 3.1 - Add a KPI with a Calculation
  • Exercise 3.1 Solution - Add a KPI with a Calculation
  • Understanding Non-Aggregatable Values
  • Create a KPI to Calculate Revenue Value
  • Exercise 3.2 - Create a KPI to Calculate Profit
  • Exercise 3.2 Solution - Create a KPI to Calculate Profit
  • Adding a Filter Pane
  • Exercise 3.3 - Another Filter is Required
  • Exercise 3.3 Solution - Another Drill Down Filter is Required
  • The Associative Selection Model
  • Creating a Calendar Master Item Drill Down List
  • Exercise 3.4 - Create a Master Item Drill Down List
  • Exercise 3.4 Solution - Create a Master Item Drill Down List
  • Adding a Line Chart to the Sheet
  • Exercise 3.5 - Add a Bar Chart to the Sheet
  • Exercise 3.5 Solution - Add a Bar Chart to the Sheet
  • Adding a Gauge to the Sheet to Measure Ratio
  • Exercise 3.6 - Create a New Ratio and Gauge
  • Exercise 3.6 Solution - Create a New Ratio and Gauge
  • The Straight Table
  • Exercise 3.7 - Add Another Measure to the Table
  • Exercise 3.7 Solution - Add Another Measure to the Table
  • Visual Formatting
  • Exercise 3.8 - Setup a Conditional Colour
  • Exercise 3.8 Solution - Setup a Conditional Colour
  • Create a Map with a Calculation - Part 1
  • Create a Map with a Calculation - Final
  • Exercise 3.9 - Map with a Calculation
  • Exercise 3.9 Solution - Map with a Calculation
  • Create a Map with a Calculation Inside the Tool Tip
  • Exercise 3.10 - Calculation Inside the Tool Tip
  • Exercise 3.10 Solution - Calculation Inside the Tool Tip
  • Introduction to Writing Set Expressions - Part 1
  • Introduction to Writing Set Expressions - Part 2
  • Introduction to Writing Set Expressions - Final
  • Exercise 3.11 - Here's One for You to Code
  • Exercise 3.11 Solution - Here's One for You to Code
  • Create a Scatter Plot to Show Relationship Between Variables
  • Exercise 3.12 - Scatter Plot, Use a Different Dimension
  • Exercise 3.12 Solution - Scatter Plot, Use a Different Dimension

  • Determining the Business Objectives
  • Exercise 5.1 - Any Other Objectives to Consider?
  • Exercise 5.1 Solution - Any Other Objectives to Consider?
  • Identify the Data Requirements - Part 1
  • Identify the Data Requirements - Final
  • Double Check the Data Requirements
  • The Tiered Architecture - Part 1
  • The Tiered Architecture - Final
  • Exercise 5.2 - Tier Review and Your Choice
  • Exercise 5.2 Solution - Tier Review and Your Choice
  • Qlik Sense Features
  • The Qlik Associative Model
  • On-Demand Application Generation (ODAG)
  • Qlik Sense Variables
  • Alternate States
  • Security Features - Part 1
  • Security Features - Final
  • Meeting the Customer Needs
  • Define the Security Requirements
  • Presenting a Solution Proposal to the Customer

  • Qlik Sense Terminologies
  • Qlik Sense Windows Architecture Overview
  • Qlik Sense Multi-Node Architecture Overview
  • Qlik Sense - A Scalable Architecture 
  • The Star Schema
  • Exercise 6.1 - Build a Star Schema
  • Exercise 6.1 Solution - Star Schema
  • The Snowflake Schema
  • Exercise 6.2 - Build a Snowflake Schema
  • Exercise 6.2 Solution - Snowflake Schema
  • How to Model Our Solution Data 
  • Exercise 6.3 - An Associative Thought Experiment 
  • The Master Calendar

  • Introduction to the Data Load Editor - Part 1
  • Introduction to the Data Load Editor - Final
  • Exercise 7.1 - Load a Dimension
  • Exercise 7.1 Solution - Load a Dimension
  • Download and Install SQL Server
  • Restore the eCommerce_ODS Database
  • Load a Dimension from SQL Server
  • Exercise 7.2 - Load a SQL Server Fact Table
  • Exercise 7.2 Solution - Load a SQL Server Fact Table
  • Load a Fact Table from MS Access
  • Load Multiple Dimensions from MS Access
  • Exercise 7.3 - Load an MS Access Dimension and Fact Table
  • Exercise 7.3 Solution - Load an MS Access Dimension and Fact Table
  • Finalising the Data Extract Layer
  • Exercise 7.4 - Finalising the Data Extract Layer
  • Exercise 7.4 Solution - Finalising the Data Extract Layer
  • Script Regular Statements
  • Working with Qlik Sense Variables - Part 1
  • Working with Qlik Sense Variables - Part 2
  • Working with Qlik Sense Variables - Final
  • Exercise 7.5 - Setting a Variable
  • Exercise 7.5 Solution - Setting a Variable
  • Script Prefixes
  • Understanding Table Joins - INNER
  • Understanding Table Joins - LEFT
  • Understanding Table Joins - RIGHT
  • Understanding Table Joins - OUTER
  • Exercise 7.6 - Code a Join
  • Exercise 7.6 Solution - Code a Join
  • Script Control Statements
  • The Incremental Load - Part 1 (Start Baseline)
  • The Incremental Load - Part 2 (InLine)
  • The Incremental Load - Part 3 (Temp Tables)
  • The Incremental Load - Part 4 (Resident - Peek)
  • The Incremental Load - Part 5 (Baseline Wrap)
  • The Incremental Load - Baseline Debug
  • The Incremental Load - Part 7 (Inc Time)
  • The Incremental Load - Final
  • Exercise 7.7 - Coding Challenge
  • Exercise 7.7 Solution - Coding Challenge
  • Exercise 7.7 Solution - Debug the Coding Challenge
  • Dealing with Orthogonal List Data  
  • Exercise 7.8 - Adding Additional List Data to the Model
  • Exercise 7.8 Solution - Adding Additional List Data to the Model
  • The Slowly Changing Dimension - Intro
  • The Slowly Changing Dimension - Coding
  • Exercise 7.9 - Coding a SCD
  • Exercise 7.9 Solution - Coding a SCD
  • Coding the Master Calendar - The Method Used
  • Coding the Master Calendar - The Code
  • Segment, Aggregate, Mapping Load - Scenario
  • Segmentation, Mapping Load, In Script Aggregation  
  • Exercise 7.10 - Segmentation, Mapping Load, In Script Aggregation
  • Exercise 7.10 Solution - Segmentation, Mapping Load, Aggregation
  • Tier Review - Development Progress
  • The Tier 4 Self Service Model

  • The Synthetic Key  
  • Exercise 8.1 - Load Tables & Fix the Synth Key
  • Exercise 8.1 Solution - Load Tables & Fix the Synth Key
  • The Synthetic Key Replaced with a Link Table - Intro
  • The Synthetic Key Replaced with a Link Table - Coding
  • The Synthetic Key Replaced with a Link Table - Testing
  • Exercise 8.2 - Build a Link Table to Replace a Synth Key - Coding
  • Exercise 8.2 Solution - Build a Link Table to Replace a Synth Key - Coding
  • Exercise 8.2 Solution - Build a Link Table to Replace a Synth Key - Testing
  • Understanding and Solving Circular References - Intro
  • Understanding and Solving Circular References - Coding
  • Exercise 8.3 - Solve the Loop
  • Exercise 8.3 Solution - Solve the Loop
  • What of Density and Subset Ratio?
  • Exercise 8.4 - Expose the Issue with Non-Null Value
  • Exercise 8.4 Solution - Expose the Issue with Non-Null Value
  • Model Row Count Verification
  • Aggregation Check Using a KPI Object
  • Exercise 8.5 - Aggregation Check Using a KPI Object
  • Exercise 8.5 Solution - Aggregation Check Using a KPI Object
  • Using a Straight Table in Data Validation
  • Exercise 8.6 - Using a Straight Table in Data Validation
  • Exercise 8.6 Solution - Using a Straight Table in Data Validation
  • Data Rectification - Primer
  • Data Rectification - Code a Solution 
  • Exercise 8.7 - Rectify Additional Data
  • Exercise 8.7 Solution - Rectify Additional Data

  • Qlik Product Awareness
  • The Binary Load
  • Generating Visualisations from Insights
  • Master Items
  • Smart Search
  • Responsive Design Principles
  • Qlik Sense Deployment Options
  • Preparing to Ask the Right Questions
  • Review the Business Objectives
  • Technical Requirements - Dashboard
  • Technical Requirements - Analysis
  • Technical Requirements - Reporting
  • Technical Requirements - Mashup

  • Application Performance Considerations
  • Selecting the Right Type of Chart - Part 1
  • Selecting the Right Type of Chart - Final
  • Design the Layout - Dashboard
  • Which to Choose!
  • Design the Layout - Analysis
  • What Would You Choose?
  • Design the Layout - Reporting
  • Design the Layout - The Merged DAR App
  • Design the Layout - Mashup

  • Prepare & Load the Data - Dashboard
  • Exercise 12.1 - Code a Required SCD
  • Exercise 12.1 Solution - Code a Required SCD
  • Prepare & Load the Data - Analysis & Reporting

  • Dashboard - Button & Filter Objects
  • Dashboard - KPI and Set Analysis (Pt 1)
  • Dashboard - KPI and Set Analysis (Pt 2)
  • Dashboard - KPI and Set Analysis (Final)
  • Dashboard - Add 2 KPIs for Today and Yesterday
  • Dashboard - Add a Part of Whole Chart
  • Dashboard - Add a Point Layer Map
  • How to Test App Metrics are Accurate

  • Template, Branding & Debug
  • Understanding the Canonical Calendar
  • Creating the Canonical Calendar 
  • All Time Sales
  • Handling the Canonical Calendar in Set Expressions
  • Previous Year KPI
  • Switching a Calculation Variable
  • Layer Map with a Conditional Metric 
  • Implementing Cumulative Metrics 
  • Scatter Plot with a Prediction (Inclusion)
  • Scatter Plot with Advanced Functions
  • Scatter Plot with a Prediction (Exclusion)
  • Ranking Values 
  • KPI Override Dimension Selections
  • KPI This Month Previous Year 
  • KPI Year to Date
  • KPI Week to Date
  • Element Function E()
  • Element Function E() and Search List
  • Element Function P()
  • Combo Chart & Master Visualization
  • Currency Basket Distribution
  • The Trellis Container
  • Using a Flag in the Set Expression
  • Comparative Analysis Using Alternate States
  • Using What If to Assess the Effect(s) 
  • Charting with a Canonical Calendar

  • Visualizing Tabular Data 
  • Bookmark and Sheet Actions
  • Your Challenge
  • Your Challenge 
  • Using the P&L Pivot for Our Tabular Data  
  • Using the P&L Pivot for Our Tabular Data Exercise
  • Using the P&L Pivot for Our Tabular Data Solution
  • Combine Text and Aggregation Values in the Metric
  • Complex Conditional Formatting
  • Complex Conditional Formatting Solution

  • Merge Apps - Planning
  • Merge Apps - Migration to Target App
  • Merge Apps - Landing Page & Navigation

  • Prevent Access to an App via Section Access
  • Limit Data Access via the REDUCTION Field (Part 1)
  • Hide Columns via the OMIT Field

  • Introduction to the Mashup
  • The Dev Hub
  • Single Integration
  • Create a Multi-Object Mashup

  • Introduction to QlikView Migration
  • Migrate a QlikView Document to Qlik Sense App

  • Introduction to Data Storytelling
  • Gathering the Material
  • Assemble and Tell the Story

  • Inverse a Rank Value - Introduction
  • Inverse a Rank Value - Coding

  • What is Matlab and Why You Should Learn It
  • Why Learn Matlab Programming for Your Career?
  • Get to Know the Matlab User Interface (Preview)
  • How to Save the Workspace Results in Matlab Environment
  • How to Use the CLC, Home, and Help Commands in Matlab Workspace
  • Learn to Run a Matlab Script Like a Pro

  • How to Do Basic Arithmetic Functions in Matlab?
  • Math (3 questions)
  • Create Variables in Matlab and Store Data in Them
  • Variables (4 questions)
  • Order of Operations in Matlab and How to Do It the Right Way
  • Order of Precedence in Matlab Operations (1 question)
  • Exponent & Pi - Important Friends of Engineers
  • Pi & Exponential (4 questions)
  • Two Sample Programs in Matlab (Preview)
  • Let's Create Comments in Matlab and When to Use Them
  • Part 1: What is Symbolic Toolbox and Why I Should Know It Very Well?
  • Symbolic Toolbox (1 question)
  • Part 2: What is Symbolic Toolbox and Why I Should Know It Very Well?

  • Introduction to Variables in Matlab
  • How to Create and Manipulate Variables in Matlab Programming?
  • How to Get Matlab Results in Different Formats?
  • What Are Symbolic Variables, and Let's Build One Together
  • Let's Do the Calculations Symbolically

  • Essential Functions for Engineers in Matlab
  • Let's Build Square Root Function in Matlab
  • Introduction to Trigonometry in Matlab
  • Trigonometric Functions
  • How to Create and Define Hyperbolic Functions in Matlab?

  • Introduction to Complex Numbers in Matlab
  • Complex Numbers in Matlab
  • What are Complex Functions and How to Build Them in Matlab?
  • Let's Use Symbolic Toolbox and Complex Functions Together
  • How to Do Symbolic Calculations Using Complex Numbers?

  • Introduction to Vectors in Matlab Programming
  • How to Change a Vector in Matlab, Change It and Use It Again
  • Let's Do Some Math on Vectors in Matlab
  • What is the Difference Between Dot & Cross Products, and Let's Do It in Matlab
  • How to Use Statistics on Vectors in Matlab Programming
  • How to Extract Vectors and Manipulate Data
  • How to Create Vectors and Extract Data in Matlab
  • Let's Create Some New Vectors in Matlab
  • Element by Element Operation on Vectors
  • Let's Make Mathematical Calculations on Vectors Easy Once and For All
  • Let's Build Random Vectors in Matlab and Why They Are So Important

  • Introduction to Matrices in Matlab Programming
  • How to Extract Data from a Matrix
  • Let's Learn to Multiply Matrices Together
  • How to Find Max, Min, Number of Elements in a Matrix
  • How to Augment a Matrix the Correct Way
  • Let's Learn the Important Functions for Working with Matrices
  • Get to Know the Special Matrices We Can Use in Matlab Programming
  • How to Create Transpose & Diagonal Matrices Like a Pro
  • Let's Solve Equations Using Matrices
  • Trace, Inverse, and Even More Features in Matrices
  • How to Work with Matrices and Do Symbolic Matrix Calculations

  • How to Create Functions in Matlab
  • NEW: What is Anonymous Function? and Why is it So Important?
  • An Introduction to Differentiation in Matlab
  • Let's Do Differentiation Symbolically
  • Let's Learn How to Take Integration in Matlab
  • How to Do the Limit Function in Matlab
  • How to Take Partial Derivatives for Any Function in Matlab

  • Let's Start with Logical and Relational Operations in Matlab
  • How to Do the Logical & Relational Operations in Matlab Seamlessly
  • Conditions in Matlab and an Introduction to Else in Matlab
  • Part 2: Introduction to Else-If With Examples in Matlab
  • Part 1: Introduction to Else-If
  • An Introduction to "While" - With Examples in Matlab
  • How to Do the "For Loops" in Matlab Programming

  • List of Frequently Used Matlab Functions
  • A Useful List for Matlab Command Previews
  • Drag & Drop Functionality in Matlab
  • Topics You Want Us to Teach

  • Introduction to Matlab Programming (Intermediate & Advanced)

  • How to Create Random Numbers in Matlab
  • Relational Expressions & Logical Operators in Matlab
  • How to perform Dot Command in Matlab

  • How to work with Excel Files in Matlab
  • How to work with Text Files in Matlab

  • How to Create Diagonal Matrix in Matlab
  • How to Extract Elements in Matlab Environment
  • How to Create a Matrix Placeholder in Matlab

  • What is Long Assignment and How to Do It in Matlab?
  • How to Create Scripts in Matlab and Work with Automatic Operations and Workflows
  • What is Input Command in Matlab and How to Work with It?
  • Example: How to Insert Strings in Matlab Using Input Command
  • How to Work with Input String in Matlab
  • Example: How to Do Unit Conversion in Matlab?
  • What is Output Statement in Matlab and How to Work with It
  • What is Fprint Command in Matlab and Why You Should Use It Frequently
  • Fprint String Example in Matlab

  • What Are Subplots and Hold Commands in Matlab?
  • Graph Properties in Matlab and How to Customize Them
  • How to Work with Axis Command in Matlab

  • What Are Functions and User-Defined Functions in Matlab?
  • Example: Functions with Two Outputs in Matlab
  • What Are Anonymous Functions in Matlab and How to Use Them

  • What Are Conditional Examples in Matlab - If Statements 
  • Project: Sorting Numbers in Matlab Using Conditional Statements
  • What Is the Switch Command in Matlab and How to Use It?
    • Why Should You Learn QlikView Designer Training Program in Hughestown Training?

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    Students Reviews

    Read genuine student reviews on ZebLearn’s expert-led SAP training and foreign language courses. Hear success stories from learners who gained certifications, skills, and career growth!

    Tanvi Sharma
    UI/UX Designer
    The QlikView Designer course from Zeblearn India was exceptional. The training provided me with a deep understanding of designing intuitive and visually appealing dashboards, greatly enhancing my ability to deliver impactful data visualizations.
    Arjun Rao
    Data Visualization Expert
    Zeblearn Indias QlikView Designer course was highly beneficial. The focus on design principles and user experience allowed me to create more engaging and effective QlikView reports that drive actionable insights.
    Sanya Nair
    BI Designer
    The QlikView Designer training at Zeblearn India was outstanding. The practical exercises and expert guidance helped me master the art of designing sophisticated and user-friendly QlikView applications.
    Rajiv Kumar
    Business Analyst
    Zeblearn Indias QlikView Designer course exceeded my expectations. The courses comprehensive approach to design and layout techniques enabled me to craft more meaningful and visually compelling data presentations.
    Maya Patel
    Data Solutions Specialist
    The QlikView Designer course from Zeblearn India was fantastic. The in-depth training on design best practices and interactive elements has significantly improved my ability to build effective and aesthetically pleasing QlikView dashboards.

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