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Vitthal Srinivasan

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.

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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.

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What's inside

Syllabus

Course Overview
Understanding Data Representation in QlikView
Setting up an in-memory Database
Querying the in-memory Database
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Analyzing and Exploring Data

Good to know

Know what's good
, what to watch for
, 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

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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
Familiarizes the learner with the QlikView interface and functionalities before starting the course.
Browse courses on QlikView
Show steps
  • 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
Review fundamental concepts of data analysis, data representation, and data visualization to strengthen your foundation before starting the course.
Browse courses on Data Analysis
Show steps
  • 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
Reinforces different data analysis methods in preparation for learning QlikView.
Browse courses on Data Analysis Techniques
Show steps
  • 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
Expand to see all activities and additional details
Show all four activities
Practice querying data using QlikView's UI
Provides hands-on practice with QlikView's user interface for data querying.
Browse courses on Querying Data
Show steps
  • 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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

Reading list

We've selected three books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Exploring and Analyzing Data with QlikView 12.
Provides a comprehensive overview of QlikView 12, including its features, functions, and how to use it for data analysis and visualization. It valuable resource for those who want to learn more about QlikView and its capabilities.
Covers advanced topics in QlikView development, such as creating custom visualizations, using JavaScript, and working with big data. It valuable resource for those who want to take their QlikView skills to the next level.
Provides a comprehensive guide to using QlikView for beginners. It covers all aspects of using QlikView, from data loading to visualization.

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