QlikView Data Analytics & Business Intelligence Course

4.7 ★★★★ ★

QlikView Data Analytics & Business Intelligence Course

Name: QlikView BI Course: Learn Data Analytics from Beginner to Pro
Rating: 4.7 (98 reviews)
Author: Amit Kumar

QlikView Essentials: Enhance Your Data Analytics Skills for Smarter Business Solutions.

updated on icon Updated on Nov, 2024

language icon Language - English

person icon Amit Kumar

category icon Business,Business Analytics and Intelligence,Qlikview

Lectures -20

Duration -20 hours

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4.7 ★★★★ ★

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Course Description

Welcome to "QlikView Data Analytics & Business Intelligence"; the course teaches a person how to really exploit QlikView in the field of data analytics and business intelligence (BI) which is, in fact, one of the most powerful tools in the industry.

This course will take you from basic to intermediate data analysis experience, through everything you need to know in the fundamentals to advanced concepts in QlikView. Using a mix of hands-on exercises, real-world examples, and best practices, you will build a foundation in how to create dynamic dashboards and reports that enable smarter and faster decision-making within your organization.

What You'll Learn

Installation and configuring QlikView for peak performance
Data integration to be merged with data modeling, and data visualization in QlikView
Methodology and best practices for designing attractive and interactive dashboards effectively to convey insights to stakeholders
Advanced Data transformation using QlikView and scripting techniques.
Qlikview Best Practices in Business Intelligence and Analytics.
Actual working experience-based use cases that connect the classroom learning to the real world.
Who Should Attend
Business Analysts
Data Analysts
Data Enthusiasts desiring to sharpen analytics skills
Professionals aiming to implement business intelligence solutions in organizations
Students and learners looking forward to initiate their careers in Data Analytics and Business Intelligence
Managers or decision-makers interested in exploring tools for data-driven decisions.

Why QlikView?\\\\\\\\\\\\\\\\\\\ QlikView is known to speed up fast without being complex and to relate data sources. Its associative data model will allow the user intuitively explore his data for answers to most complex questions without requiring a great deal of technical expertise. By the end of this course, you will be able to create data models, build insightful reports, and make informed business decisions with confidence.

The time is now for you, after which you can enroll and take one step further in driving the change by being proficient in data analysis using QlikView and become one of the market leaders' proficient guys in BI tools!

Goals

By the end of this class, the students will learn to

Know the Fundamentals of QlikView

Obtain awareness on the QlikView interface and components, as well as architecture for easy navigation and usage of the tool.
Mastery of Data Integration and Modeling

Know how to get and load data from multiple sources; build robust data models to support analytics
Develop Interactively-driven Dashboards and Reports

Build engaging, interactive dashboards and reports that allow users to get insights into the data and make data-informed decisions.
Implementation of Advanced Data Transformation Techniques

Apply advanced data transformations as well as computations involving QlikView's scripting and expressions
Business Intelligence Best Practices
Learn Best Practices in industry building effective BI solutions which have impacts on performance as well as decision-making for businesses.
Solving real-world business issues using QlikView

Case studies and real-world examples apply features of QlikView to solve practical business challenges
Optimize QlikView performance
Learn how to make your QlikView applications optimized for the best possible performance, scalability, and data processing.
Get Ready for Advanced Analytics
Prepare yourself to use QlikView with other advanced analytics tools that will act as an entry pass to further studying data science and AI.

Prerequisites

This course is designed for learners of all levels, but having the following knowledge or skills will help you get the most out of it:

Basic Computer Skills:
- Familiarity with general computer operations and software installation processes.
Fundamental Understanding of Data:
- A basic understanding of data concepts such as tables, rows, columns, and common file formats (e.g., CSV, Excel).
Interest in Data Analytics and Business Intelligence:
- An eagerness to explore how data can be used to derive business insights and support decision-making.

A computer with internet access and the ability to install QlikView (a free version is available for training purposes).

QlikView Data Analytics & Business Intelligence Course

Curriculum

Check out the detailed breakdown of what’s inside the course

QlikView Data Analytics & Business Intelligence Training
20 Lectures

Intro to QlikView and Overview of QlikView Desktop 47:32 47:32
Data Extraction from SQL Server & Excel and Creating QVD 57:14 57:14
Data Modelling and Transformation in QlikView 01:04:17 01:04:17
Data Modelling in QlikView, Join, Keep, Concatenation, inline Table 01:01:15 01:01:15
Data Modelling, Inline load, incremental load, buffer load, partial reload, binary load 01:07:50 01:07:50
Data Modelling, Visualization, theme maker, DAR methodology 58:36 58:36
Intro to Viz, List box, Multi box, Horizontal list box, Vertical list box, hierarchical list box, statistics box 58:54 58:54
Intro to Viz, Other controls, Master Calendar 55:33 55:33
Intro to Viz, Search object, bookmark, container, bas chart, line chart, combo chart, thrills 01:01:20 01:01:20
Intro to Viz, Radar chart, mekko chart, scater chart, grid chart, pie chart, block chart etc. 01:01:18 01:01:18
Intro to Viz, Gauge Chart, Straight Table, Pivot Table, Mini Chart. 01:01:21 01:01:21
Intro to Viz, Drill down, Cyclic group, What if analysis, First change of chart 59:13 59:13
QlikView PDF Report, Action and Triggers 01:00:41 01:00:41
If else condition, wild match, optimized load, date functions, MTD, YTD, Add months 01:02:02 01:02:02
Nested if else condition, conditional coloring, Set Analysis, Bookmark in set analysis 01:03:19 01:03:19
Apply Map, Mapping Load, Hidden Script, Section Access, Section Application 01:01:42 01:01:42
Data level Section access, Action and Triggers, Set variable, show-hide 01:03:30 01:03:30
Understanding Assignment and Understanding of Project 01:00:36 01:00:36
Alternate State, Interview questions & Answers 01:01:11 01:01:11
Development of Assignment project - Issue Tracking Dashboard 01:00:34 01:00:34

Instructor Details

Amit Kumar

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