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What you'll learn?
- Qlik Sense Data Analytics
- Data Science
- Business Intelligence
Qlik Sense is a complete data analytics platform that sets the benchmark for a new generation of analytics. With its one-of-a-kind associative analytics engine, sophisticated AI, and high performance cloud platform, you can empower everyone in your organization to make better decisions daily, creating a truly data-driven enterprise.
Qlik Sense is for all of us – executives, decision-makers, analysts... you. Enable any BI use case and let users freely search and explore to uncover insights they won’t find with query-based BI tools.
Insight Advisor, your AI assistant in Qlik Sense, instantly raises the data literacy of every user through insight generation, task automation, and search & natural-language interaction.
Get the convenience of SaaS and the choice of multi-cloud and on-premise for the most demanding enterprises. Scale confidently with powerful data integration, open APIs, and flexible governance.
QlikSense can easily combine, load, visualize, and explore your data, no matter how large (or small). Ask any question and follow your curiosity. Search, select, drill down, or zoom out to find your answer or instantly shift focus if something sparks your interest. Every chart, table, and object is interactive and instantly updates to the current context with each action. Smart visualizations reveal the shape of your data and pinpoint outliers. And get faster time to insight with assistance from Insight Advisor for chart creation, association recommendations, and data preparation.
- QlikSense Desktop
- SQL Server
- Ms Office
- Business Analysts
- Project Managers
- HR professionals
- Accounts Professionals
Curriculum 20 Lectures 00:00:36
Section 1 : Qlik Sense Data Analytics & Business Intelligence Course
- Lecture 1 :
QlikSense Introduction & Lab Setup
- QlikSense Introduction & Lab Setup Preview
- Lecture 2 :
- QlkSense Data Extraction, Creation of Space and QlikSense App
- Lecture 3 :
- Introduction to Data Manager and Data modelling
- Lecture 4 :
- Data modelling using data load editor, Syn key, circular reference, qualify
- Lecture 5 :
- Data Transformation, Join, Keep, Exit Script
- Lecture 6 :
- Various types of data connection, REST API, Excel, Inline load, Resident load
- Lecture 7 :
- Creation of Master library, Dimension, Measure, Drilldown dimensions
- Lecture 8 :
- Intro to viz, Filter pane, Bar chart, single and multi dimensional analysis
- Lecture 9 :
- Intro to viz, KPI control, Line chart, Area chart, Drilldown, Multi measure
- Lecture 10 :
- Intro to viz, Box plot, bullet chart, combo chart, distribution plot, container
- Lecture 11 :
- Intro to viz, gauge, pie, donut, mekko, treemap object
- Lecture 12 :
- Intro to viz, Map Object, Scatter Plot, Waterfall chart
- Lecture 13 :
- Intro to viz, Pivot table, Straight table, Comparison of pivot and straight, Ma
- Lecture 14 :
- Data warehouse, Fact, Dimension, Star & Snoflake, Alternate State,Type of select
- Lecture 15 :
- Storytelling, Bookmark, Master Calendar
- Lecture 16 :
- Set Analysis, Where clauses, in operator, Mapping table, Apply Map
- Lecture 17 :
- Mashup API, Hypercube, Qliksense Extension
- Lecture 18 :
- QlikView to QlikSense Converter and Incremental Load
- Lecture 19 :
- Section Access, Document Level, Data Level Security
- Lecture 20 :
- Interview Questions & Answers and Understanding Business Requirement Document
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