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Vitthal Srinivasan

This course will teach you how to perform a detailed analysis of a dataset using a variety of filters available in Sisense, which can be used to drill down to specific ranges and categories of data at both widget and dashboard levels.

Sisense includes a number of different filters which allow users to zoom in on specific subsets of a large dataset.

In this course, Creating and Applying Filters in Sisense, you’ll learn to use the right set of filters to enable an efficient and meaningful analysis of your data.

Read more

This course will teach you how to perform a detailed analysis of a dataset using a variety of filters available in Sisense, which can be used to drill down to specific ranges and categories of data at both widget and dashboard levels.

Sisense includes a number of different filters which allow users to zoom in on specific subsets of a large dataset.

In this course, Creating and Applying Filters in Sisense, you’ll learn to use the right set of filters to enable an efficient and meaningful analysis of your data.

First, you’ll explore how filters are implemented in Sisense ElastiCubes. Next, you’ll discover a variety of basic filters which can be applied at the widget and dashboard levels. Finally, you’ll learn how to define more complex filters for your visualizations which allow for deeper interactions. When you’re finished with this course, you’ll have the skills and knowledge of filters, widgets, and dashboards needed to create engaging and informative visualizations which enable a variety of interactions for your end users.

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What's inside

Syllabus

Course Overview
Exploring Filters in Sisense
Building Widgets and Dashboards with Filters
Implementing Advanced Filters
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches filter features for dashboard and widget creation
Provides explanations of filter implementation in Sisense ElastiCubes
Develops skills and knowledge for efficient data analysis and visualization
Explores a variety of basic and advanced filters for specific data subsets
Suitable for learners seeking to enhance their data analysis abilities

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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 Creating and Applying Filters in Sisense with these activities:
Review Sisense Filters
Revisiting Sisense's essential filters will strengthen your foundational understanding and prepare you for advanced filter applications.
Browse courses on Filters
Show steps
  • Re-familiarize yourself with basic concepts of filtering data in Sisense.
  • Review the types of filters available in Sisense (e.g., range, category, date).
  • Practice applying basic filters to Sisense data.
Organize Course Resources
Organize your notes, assignments, and other course materials to enhance your understanding and facilitate effective review.
Show steps
  • Gather all relevant course materials.
  • Review and organize materials by topic or module.
  • Create a system for easy access and retrieval of materials.
Review basic data analysis concepts
Refresh your understanding of basic data analysis concepts to ensure a strong foundation for this course.
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  • Review basic statistical concepts
  • Review common data visualization techniques
16 other activities
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Review Data Filtering Fundamentals
Refresh your understanding of fundamental data filtering concepts to strengthen your foundation for applying filters in Sisense.
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Show steps
  • Revisit course materials or online resources on data filtering.
  • Practice basic filtering techniques using a simple dataset.
Data Analysis Discussion Group
Engaging in discussions with peers will provide diverse perspectives, challenge your understanding, and foster a supportive learning environment.
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Show steps
  • Join a study group or online discussion forum.
  • Actively participate in discussions related to Sisense filters and data analysis.
  • Share your insights and learn from others' experiences.
Explore Sisense documentation
Review the Sisense documentation to familiarize yourself with the basics of Sisense and its features.
Show steps
  • Visit the Sisense documentation website
  • Read the getting started guide
  • Explore the different sections of the documentation
Filter Drills in Sisense
Engaging in repetitive filter exercises will reinforce your understanding and improve your proficiency in applying filters in Sisense.
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Show steps
  • Complete a series of guided filter exercises.
  • Apply filters to extract specific data subsets.
  • Analyze the results of your filtering operations.
Collaborate on Filter Design
Engage with peers to discuss and refine filter designs, fostering knowledge sharing and enhancing your understanding of filter implementation.
Show steps
  • Form a study group with classmates.
  • Select a dataset and identify potential filter criteria.
  • Brainstorm and develop filter designs collaboratively.
  • Test and evaluate the effectiveness of different filter designs.
Create basic widgets in Sisense
Practice creating basic widgets in Sisense to gain hands-on experience with the tool.
Show steps
  • Create a new widget
  • Add data to the widget
  • Configure the widget's settings
Discover Advanced Filter Options
Explore advanced filter options in Sisense to enhance your ability to perform in-depth data analysis and gain valuable insights.
Show steps
  • Review Sisense documentation on advanced filters.
  • Experiment with different filter combinations.
  • Apply advanced filters to real-world datasets.
Answer questions in the course forum
Engage with your peers and reinforce your understanding by answering questions in the course forum.
Show steps
  • Visit the course forum
  • Read through the questions
  • Answer any questions you can
Apply Filters to Visualizations
Apply the filters you learned in the course to existing visualizations to better understand the data and improve your data analysis skills.
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Show steps
  • Select a visualization to filter.
  • Apply one or more filters to the visualization.
  • Analyze the results and identify insights.
Advanced Filter Techniques in Sisense
Exploring advanced filter techniques will expand your knowledge and enable you to perform more complex data analysis in Sisense.
Browse courses on Filters
Show steps
  • Follow guided tutorials on advanced filter techniques.
  • Experiment with different filter combinations.
  • Create custom filters for specific analysis needs.
Filter Tutorial for Beginners
Creating a tutorial will solidify your understanding of Sisense filters and provide valuable resources for other learners.
Browse courses on Filters
Show steps
  • Choose a specific filter topic to cover.
  • Develop a step-by-step guide with clear instructions.
  • Create supporting materials such as screenshots or code examples.
  • Share your tutorial through a blog post, video, or online platform.
Build a dashboard in Sisense
Create a dashboard in Sisense to demonstrate your understanding of the tool and its capabilities.
Show steps
  • Design the layout of the dashboard
  • Add widgets to the dashboard
  • Configure the dashboard's settings
Create a Dashboard with Interactive Filters
Utilize your knowledge of filters and dashboards to create an interactive dashboard that empowers users to explore data effectively and derive meaningful insights.
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Show steps
  • Choose a dataset and design your dashboard layout.
  • Implement interactive filters to allow users to drill down into the data.
  • Visualize the data using appropriate charts and graphs.
  • Present your dashboard to stakeholders for feedback.
Filter-Based Dashboard
Developing a comprehensive filter-based dashboard will provide a practical application of your filter skills and enhance your data presentation capabilities.
Browse courses on Filters
Show steps
  • Design a dashboard that incorporates various filters.
  • Implement the filters and connect them to the dashboard.
  • Configure the dashboard to enable interactive data exploration.
  • Present the dashboard and demonstrate its filter functionality.
Attend Industry Meetups
Expand your network and stay updated on industry trends by attending meetups focused on data analysis and visualization.
Show steps
  • Identify relevant industry meetups in your area.
  • Attend meetups and connect with professionals in the field.
  • Share your knowledge and insights with others.
Contribute to Sisense Community
Participating in the Sisense community will connect you with experts, provide opportunities to learn from real-world use cases, and contribute to the advancement of Sisense.
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Show steps
  • Join the Sisense community forum.
  • Engage in discussions and ask questions.
  • Report bugs or suggest improvements to Sisense.
  • Contribute code or documentation to the Sisense open-source project.

Career center

Learners who complete Creating and Applying Filters in Sisense will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts work with raw data in order to draw conclusions. They may do so for business purposes, research, or other ends. This course, Creating and Applying Filters in Sisense, helps build a foundation for Data Analysts by teaching them how to use Sisense, a data visualization and analytics platform.
Data Scientist
Data Scientists use a variety of techniques and tools to analyze data and extract insights. One important tool is Sisense, which Data Scientists may use to filter and visualize data. The course, Creating and Applying Filters in Sisense, can be helpful for Data Scientists who need to learn how to extract the most from Sisense.
Data Engineer
Data Engineers are responsible for building and maintaining the infrastructure that supports data analysis. They use a variety of tools to clean, transform, and load data into databases. One such tool is Sisense, which Data Engineers may use to filter and visualize data. The course, Creating and Applying Filters in Sisense, can be helpful for Data Engineers who need to learn how to use Sisense to get the most out of their data.
Software Engineer
Software Engineers design, develop, and maintain software applications. They use a variety of programming languages and tools to create software that meets the needs of users. One such tool is Sisense, which Software Engineers may use to filter and visualize data. The course, Creating and Applying Filters in Sisense, can be helpful for Software Engineers who need to learn how to use Sisense to create more efficient and user-friendly software.
Statistician
Statisticians use mathematical and statistical methods to collect, analyze, interpret, and present data. They use a variety of tools to visualize and analyze data, including Sisense. The course, Creating and Applying Filters in Sisense, can be helpful for Statisticians who need to learn how to use Sisense to get the most out of their data.
Financial Analyst
Financial Analysts use financial data to make investment recommendations. They may also use data to evaluate the performance of companies and make recommendations to management. One tool that Financial Analysts may use is Sisense, which can be used to filter and visualize financial data. The course, Creating and Applying Filters in Sisense, can be helpful for Financial Analysts who need to learn how to use Sisense to get the most out of their data.
Market Researcher
Market Researchers conduct research to understand the needs of consumers. They use a variety of methods to collect data, including surveys, interviews, and focus groups. One tool that Market Researchers may use is Sisense, which can be used to filter and visualize data. The course, Creating and Applying Filters in Sisense, can be helpful for Market Researchers who need to learn how to use Sisense to get the most out of their data.
Business Analyst
Business Analysts use data to identify and solve business problems. They use a variety of tools to analyze data, including Sisense. The course, Creating and Applying Filters in Sisense, can be helpful for Business Analysts who need to learn how to use Sisense to get the most out of their data.
Data Visualization Specialist
Data Visualization Specialists create visual representations of data. They use a variety of tools to create charts, graphs, and other visualizations that can be used to communicate data to a variety of audiences. One tool that Data Visualization Specialists may use is Sisense, which can be used to filter and visualize data. The course, Creating and Applying Filters in Sisense, can be helpful for Data Visualization Specialists who need to learn how to use Sisense to create more effective visualizations.
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve problems in a variety of industries. They use a variety of tools to analyze data, including Sisense. The course, Creating and Applying Filters in Sisense, can be helpful for Operations Research Analysts who need to learn how to use Sisense to get the most out of their data.
Quality Assurance Analyst
Quality Assurance Analysts ensure that products and services meet quality standards. They use a variety of tools to test and analyze products and services, including Sisense. The course, Creating and Applying Filters in Sisense, can be helpful for Quality Assurance Analysts who need to learn how to use Sisense to get the most out of their data.
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access. They use a variety of tools to monitor and analyze data, including Sisense. The course, Creating and Applying Filters in Sisense, can be helpful for Information Security Analysts who need to learn how to use Sisense to get the most out of their data.
Information Technology Manager
Information Technology Managers plan, implement, and maintain computer systems and networks. They use a variety of tools to manage data, including Sisense. The course, Creating and Applying Filters in Sisense, can be helpful for Information Technology Managers who need to learn how to use Sisense to get the most out of their data.
Software Development Manager
Software Development Managers oversee the development of software applications. They use a variety of tools to manage software development projects, including Sisense. The course, Creating and Applying Filters in Sisense, can be helpful for Software Development Managers who need to learn how to use Sisense to get the most out of their data.
Database Administrator
Database Administrators manage and maintain databases. They use a variety of tools to manage data, including Sisense. The course, Creating and Applying Filters in Sisense, can be helpful for Database Administrators who need to learn how to use Sisense to get the most out of their data.

Reading list

We've selected nine 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 Creating and Applying Filters in Sisense.
Provides a comprehensive overview of dashboards, including design principles, best practices, and case studies. It includes sections on using filters to create interactive and informative dashboards.
This classic book provides a comprehensive guide to the principles of data visualization, including how to use filters to create clear and concise visualizations.
Provides a practical guide to using data to tell stories, including how to use filters to create compelling and persuasive narratives.
Provides a comprehensive guide to Tableau, another popular data visualization tool. While it does not directly focus on Sisense, the concepts and techniques covered can be applied to Sisense as well, including the use of filters.
Provides a comprehensive guide to human factors and interior design, including how to use filters to create spaces that are comfortable and efficient.
Provides a comprehensive guide to the principles of design, including how to use filters to create aesthetically pleasing and functional designs.
Provides a comprehensive guide to the design of everyday things, including how to use filters to create products that are both user-friendly and efficient.
Provides a comprehensive guide to the design of information dashboards, including how to use filters to create dashboards that are both informative and actionable.

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