Exploring and Analyzing Data with QlikView 12 from Pluralsight

Want to be introduced to an efficient data analysis and visualization tool? In this course, you'll learn how data is represented and how to analyze it by exploring the different features of QlikView.

QlikView bills itself as a guided analytics tool, which helps extract insights from large datasets. It lives up to that billing by striking the right balance between interactivity and robustness. QlikView combines the data-management capabilities of a serious database , with the zippy, responsive UIs that make drilling into data really simple. In this course, Exploring and Analyzing Data with QlikView, you'll cover exactly how data is represented and analyzed by exploring the features of QlikView. First, you'll explore how to setup an in-memory database. Next, you'll learn how to query it using different QV UI features. Finally, you'll discover how to analyze and explore the data for insights. By the end of this course, you'll have the understanding and knowledge of how data is represented in QlikView.

What's inside

Syllabus

Course Overview

Understanding Data Representation in QlikView

Setting up an in-memory Database

Querying the in-memory Database

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Focuses on data analysis and visualization with QlikView, which is practical in many business and research applications

Offers a balanced mix of interactivity and robustness in its user interface design, making data exploration and insights extraction efficient and beginner-friendly

Introduces students to the concepts of in-memory database setup and management, a critical aspect of data analysis in QlikView

Provides practical hands-on exercises in querying and analyzing data using QlikView's user interface features, enabling students to apply their understanding directly

Suitable for individuals seeking an introduction to data analysis and visualization using a popular business intelligence tool, QlikView

Course is taught by Vitthal Srinivasan, an experienced instructor in data analysis and visualization, potentially enhancing the learning experience

Reviews summary

Foundational data analysis with qlikview 12

According to students, this course offers a solid and practical foundation for exploring and analyzing data using QlikView 12. Learners consistently praise the instructor's clear and concise explanations, which make complex topics easy to grasp. The course's hands-on exercises and helpful demonstrations are frequently highlighted as beneficial for understanding how to set up an in-memory database and perform basic data analysis and dashboard creation. While many found it perfect for beginners and those new to QlikView, some intermediate users noted it lacks depth for advanced techniques or comprehensive coverage for professional deployment. A few recent reviews mentioned the content feeling slightly outdated for QlikView 12.

Content relates to QlikView 12, with minor production quality notes.

"The content is okay, but it feels slightly outdated. QlikView 12 is a specific version, and while the core concepts are similar, the UI and some features have evolved."

"My only minor gripe is that sometimes the audio quality wasn't perfect, but it wasn't a major hindrance."

"The production quality could be improved, though the content is relevant for QlikView."

Provides an excellent entry point for new QlikView users.

"This course was a fantastic introduction to QlikView 12... Highly recommended for anyone starting with QlikView."

"For a beginner, it's perfect..."

"Useful for absolute beginners, perhaps."

"As someone completely new to QlikView, this course provided a solid, practical foundation."

Hands-on exercises and demonstrations aid practical skill development.

"I especially appreciated the hands-on exercises which truly helped solidify my understanding of how to set up an in-memory database..."

"The demos were very helpful and I can now confidently build my own dashboards."

"As someone completely new to QlikView, this course provided a solid, practical foundation. The hands-on approach made learning enjoyable..."

"The exercises really complement the lectures. It provides a good balance between theory and practical application."

Instructor's explanations are consistently clear and easy to follow.

"The instructor's explanations were clear and concise, making complex topics easy to grasp."

"The instructor broke down the process of data exploration and analysis in QlikView into manageable chunks."

"The explanations of querying the database were very clear."

"Very helpful for getting started with QlikView. The instructor is knowledgeable..."

May be too basic for intermediate or experienced BI professionals.

"I felt it could have gone a bit deeper into advanced scripting or more complex data models. For a beginner, it's perfect, but intermediate users might find it a bit too general."

"While the instructor tried, the course felt too basic. I was hoping for more advanced data analysis techniques and deeper dives into QlikView's capabilities. It only scratches the surface."

"Not comprehensive enough for professional deployment."

"If you already know SQL or basic BI, this might not add much."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Exploring and Analyzing Data with QlikView 12 with these activities:

Explore QlikView tutorials

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Familiarizes the learner with the QlikView interface and functionalities before starting the course.

Browse courses on QlikView

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Find and access QlikView tutorials
Follow the tutorials to complete data analysis tasks
Experiment with different features and options

Review core topics from data analysis

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Review fundamental concepts of data analysis, data representation, and data visualization to strengthen your foundation before starting the course.

Browse courses on Data Analysis

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Revisit key concepts of data analysis, such as data types, data structures, and data manipulation techniques.
Explore different data representation techniques, including tables, charts, and graphs.
Practice visualizing data using tools like Python's matplotlib or seaborn.

Review different data analysis techniques

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Reinforces different data analysis methods in preparation for learning QlikView.

Browse courses on Data Analysis Techniques

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Review and summarize the different data analysis methods
Explore examples of how these methods are applied
Identify the strengths and weaknesses of each method

One other activity

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Practice querying data using QlikView's UI

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Provides hands-on practice with QlikView's user interface for data querying.

Browse courses on Querying Data

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Create a new QlikView document
Load a dataset into the document
Use the UI to explore the data and create visualizations

Career center

Learners who complete Exploring and Analyzing Data with QlikView 12 will develop knowledge and skills that may be useful to these careers:

Data Architect

A Data Architect designs and builds the architecture for data systems. They use data analysis to understand the data requirements of the organization and to design and implement the data architecture. This course can be helpful for Data Architects by providing them with the skills they need to analyze data and identify insights that can lead to better data architecture.

See salaries and explore the career path for Data Architect

Chief Data Officer

A Chief Data Officer is responsible for the overall management of data within an organization. They use data analysis to understand the data requirements of the organization and to develop and implement data strategies. This course can be helpful for Chief Data Officers by providing them with the skills they need to analyze data and identify insights that can lead to better data management.

See salaries and explore the career path for Chief Data Officer

Data Governance Analyst

A Data Governance Analyst is responsible for developing and implementing data governance policies and procedures. They use data analysis to understand the data requirements of the organization and to develop and implement data governance policies that ensure the data is accurate, consistent, and reliable.

See salaries and explore the career path for Data Governance Analyst

Business Intelligence Analyst

A Business Intelligence Analyst uses data analysis to identify trends and patterns in data that can be used to make better business decisions. They use data analysis to understand the business's current state, and then develop and implement strategies to improve it.

See salaries and explore the career path for Business Intelligence Analyst

Data Analyst

A Data Analyst collects, processes, and analyzes data in order to extract meaningful insights. These insights can be used to improve business processes, make better decisions, and identify new opportunities. This course can be helpful for Data Analysts by providing them with a solid foundation in data representation and analysis, as well as experience using QlikView 12, which is a popular data analysis and visualization tool.

See salaries and explore the career path for Data Analyst

Business Analyst

A Business Analyst helps businesses improve their performance by identifying and solving problems. They use data analysis to understand the business's current state, and then develop and implement solutions to improve it. This course can be helpful for Business Analysts by providing them with the skills they need to analyze data and identify insights that can lead to improved business performance.

See salaries and explore the career path for Business Analyst

Management Consultant

A Management Consultant helps businesses improve their performance by identifying and solving problems. They use data analysis to understand the business's current state, and then develop and implement solutions to improve it. This course can be helpful for Management Consultants by providing them with the skills they need to analyze data and identify insights that can lead to improved business performance.

See salaries and explore the career path for Management Consultant

Market Researcher

A Market Researcher collects, analyzes, and interprets data about customers, competitors, and markets. This information is used to help businesses make better decisions about product development, marketing, and sales. This course can be helpful for Market Researchers by providing them with the skills they need to analyze data and identify insights that can lead to better business decisions.

See salaries and explore the career path for Market Researcher

Data Engineer

A Data Engineer builds and maintains the infrastructure that is used to store and process data. They use data analysis to understand the data requirements of the organization and to design and implement the data infrastructure. This course can be helpful for Data Engineers by providing them with the skills they need to analyze data and identify insights that can lead to better data infrastructure.

See salaries and explore the career path for Data Engineer

Database Administrator

A Database Administrator manages and maintains databases. They use data analysis to understand the data requirements of the organization and to design and implement the database. This course can be helpful for Database Administrators by providing them with the skills they need to analyze data and identify insights that can lead to better database management.

See salaries and explore the career path for Database Administrator

Statistician

A Statistician collects, analyzes, and interprets data. They use data analysis to understand the relationships between different variables and to make predictions about future events. This course can be helpful for Statisticians by providing them with the skills they need to analyze data and identify insights that can lead to better decision-making.

See salaries and explore the career path for Statistician

Software Engineer

A Software Engineer designs, develops, and maintains software applications. They use data analysis to understand the requirements of the application and to develop and test the software. This course can be helpful for Software Engineers by providing them with the skills they need to analyze data and identify insights that can lead to better software development.

See salaries and explore the career path for Software Engineer

Financial Analyst

A Financial Analyst evaluates and interprets financial data to make recommendations about investments. They use data analysis to understand the financial performance of companies and to identify investment opportunities. This course can be helpful for Financial Analysts by providing them with the skills they need to analyze data and identify insights that can lead to better investment decisions.

See salaries and explore the career path for Financial Analyst

Operations Research Analyst

An Operations Research Analyst uses mathematical and analytical techniques to solve problems in business and industry. They use data analysis to identify inefficiencies and develop solutions to improve operations. This course can be helpful for Operations Research Analysts by providing them with the skills they need to analyze data and identify insights that can lead to improved business performance.

See salaries and explore the career path for Operations Research Analyst

Data Scientist

A Data Scientist is a professional who uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured. Moreover, this professional is able to analyze this data and communicate actionable insights to stakeholders. A course on data analysis and visualization with QlikView 12 can be useful for learning how to understand data representation and how to analyze it, which are valuable skills for Data Scientists.

See salaries and explore the career path for Data Scientist

Exploring and Analyzing Data with QlikView 12

What's inside

Syllabus

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Reviews summary

Foundational data analysis with qlikview 12

Activities

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