Duration: Hours

Qlik Sense Desktop is a Windows application that allows users to create visualizations, charts, and analytics apps for local and offline usage.

Training Mode: Online

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    Description

    Qlik Sense empowers your organization to make better decisions daily, turning raw data into remarkable outcomes. Not only will you learn how to design and build your best Qlik Sense apps and visualizations but you will also have a broader and richer view of what analytics can help you accomplish.

    Who should take this course? Business Analysts, Data Architects, and Business Users with a growth mindset who want to advance their skills data analytics, make data-informed decisions and turn data into insights.

    Qlik Sense Topics :

    1. The Power and Potential of Data Analytics

    2. Asking Analytic Questions and Acquiring the Right Data

    3. Determining your Key Performance Indicators (KPIs)

    4. Understanding Data Fundamentals and Loading Data in Qlik Sense.

    5. Choosing and Creating Appropriate Data Visualizations in Qlik Sense

    6. Applying Transformations, Calculations, and Expressions in Qlik Sense

    7. Utilizing an Analytics Framework

    8. Performing Diagnostic Analytics

    9. Applying the Human Element

    10. Uncovering Bias with Data

    11. Visually Communicating Insights and Storytelling in Qlik Sense

    12. Understanding Advanced Analytics

    SKILLS LEARNED :

    1. Identify the potential value that data analytics provides organizations
    2. Understand how analytics helps organizations gain insights from their data
    3. Differentiate the 4 components of an analytic framework
    4. Understand common use cases for analytics
    5. Define metrics that measure outcomes aligned to organizational strategy
    6. Differentiate between leading and lagging measures
    7. Evaluate whether metrics are balanced across the system
    8. Describe the characteristics of a Key Performance Indicator
    9. Determine which level of measurement given data belongs to
    10. Assess data formatting needed to answer analytic questions
    11. Determine correct aggregation methods to use based off your metric
    12. Identify proper data transformations required based off your data and your metric
    13. Determine the proper visualization based off the data and the question being asked
    14. Design and create visualizations in QlikSense
    15. Identify guidelines for choosing appropriate visual design elements
    16. Identify best practices for QlikSense Visualization design
    17. Understand the various capabilities that can be used during diagnostic analytics
    18. Understand the key functionality required for diagnostic analytics using Qlik Sense
    19. Perform advanced analysis in QlikSense
    20.Leverage storytelling to visually communicate
    21. Share QlikSense Visualizations and applications with others
    22. Create Measurement Frameworks and display them using Qlik Sense

     

    For more inputs on Qlik Sense you can connect here.
    Contact the L&D Specialist at Locus IT.

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