Getting Started with Augmented Analytics in Sisense from Pluralsight

This course will teach you how Sisense augmented analytics features - the analytics that leverages artificial intelligence - can help you extract relevant and actionable insights from your data.

Artificial Intelligence has helped solve several problems and applied to the field of business intelligence. The term Augmented Analytics is often used to refer to BI tools and capabilities that leverage AI and ML.

In this course, Getting Started with Augmented Analytics in Sisense, you’ll learn about the various AI-based features in Sisense that play a role in extracting meaningful insights from your data. First, you’ll explore how AI plays a role in the business intelligence domain in general and specifically in data analysis. Next, you’ll discover the various options available in Sisense to apply AI for analysis. Finally, you’ll learn how to use some of the augmented analytics features in Sisense to enhance your widgets and dashboards. When you’re finished with this course, you’ll have the skills and knowledge of augmented analytics in Sisense needed to perform a thorough analysis of your business data and extract insights that are only made possible by the power of AI.

What's inside

Syllabus

Course Overview

Exploring the Need for Augmented Analytics

Applying AI in Sisense

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Taught by Vitthal Srinivasan, who is experienced in the field of analytics

Teaches learners to identify applicable and relevant data through Sisense's augmented analytics capabilities

Emphasizes the significance of AI's role in the field of business intelligence

Provides hands-on training for utilizing augmented analytics features in Sisense

Suitable for individuals seeking to enhance their data analysis skills and gain insights through AI

May be beneficial for those working in business intelligence, data analytics, or related fields

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 Getting Started with Augmented Analytics in Sisense with these activities:

Find a mentor who can provide guidance and support

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Having a mentor can provide you with personalized guidance, support, and encouragement, helping you to navigate the challenges and maximize the opportunities in your learning journey.

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Identify potential mentors who have experience and expertise in Sisense or related fields.
Reach out to potential mentors and express your interest in connecting.
Establish a regular communication schedule to ask questions, discuss progress, and receive feedback.

Review course prerequisites including probability and data analysis

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Reviewing the course prerequisites will help you refresh your understanding of the fundamental concepts and techniques that will be covered in this course, ensuring that you have a strong foundation for success.

Browse courses on Probability

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Follow online tutorials on advanced Sisense techniques

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Following online tutorials will supplement your learning by providing practical demonstrations and in-depth explanations of advanced Sisense techniques, helping you expand your skills and knowledge.

Browse courses on Data Visualization Best Practices

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Identify online tutorials that cover advanced Sisense techniques, such as dashboard design or data storytelling.
Follow the tutorials step-by-step and apply the techniques to your own projects.
Experiment with different approaches and customize the techniques to suit your specific needs.

Two other activities

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Create a data analysis project using Sisense

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Creating a data analysis project will provide you with hands-on experience in applying the concepts and techniques covered in this course to a real-world scenario, solidifying your understanding and showcasing your skills.

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Define the business problem or opportunity that you want to address with your project.
Gather and prepare the necessary data.
Use Sisense to analyze the data and identify insights.
Develop visualizations and dashboards to communicate your findings.
Present your project to an audience or publish it online.

Mentor other students who are learning Sisense

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Mentoring others not only reinforces your own understanding of the concepts but also helps you develop leadership and communication skills, which are valuable assets in any field.

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Identify opportunities to assist other students who are new to Sisense.
Share your knowledge and expertise by answering questions and providing guidance.
Encourage collaboration and foster a supportive learning environment.

Career center

Learners who complete Getting Started with Augmented Analytics in Sisense will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers are responsible for designing, developing, and deploying machine learning models. The course Getting Started with Augmented Analytics in Sisense may be useful for this role because it provides a foundation in the use of AI for data analysis and modeling. AI can be used to automate many tasks that are typically performed by Machine Learning Engineers, freeing up their time to focus on more complex and strategic tasks.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists are responsible for developing and implementing data-driven solutions to business problems. The course Getting Started with Augmented Analytics in Sisense may be useful for this role because it provides a foundation in the use of AI for data analysis and modeling. AI can be used to automate many tasks that are typically performed by Data Scientists, freeing up their time to focus on more complex and strategic tasks.

See salaries and explore the career path for Data Scientist

Data Engineer

Data Engineers are responsible for designing, building, and maintaining data pipelines. The course Getting Started with Augmented Analytics in Sisense may be useful for this role because it provides a foundation in the use of AI for data analysis and modeling. AI can be used to automate many tasks that are typically performed by Data Engineers, freeing up their time to focus on more complex and strategic tasks.

See salaries and explore the career path for Data Engineer

Software Engineer

Software Engineers are responsible for designing, developing, and maintaining software applications. The course Getting Started with Augmented Analytics in Sisense may be useful for this role because it provides a foundation in the use of AI for data analysis and modeling. AI can be used to automate many tasks that are typically performed by Software Engineers, freeing up their time to focus on more complex and strategic tasks.

See salaries and explore the career path for Software Engineer

Data Analyst

Data Analysts are responsible for examining data to uncover insights that organizations can use to make better decisions. The course Getting Started with Augmented Analytics in Sisense may be useful for this role because it provides a foundation in the use of artificial intelligence (AI) for data analysis. AI can be used to automate many tasks that are typically performed by Data Analysts, freeing up their time to focus on more complex and strategic tasks.

See salaries and explore the career path for Data Analyst

Financial Analyst

Financial Analysts are responsible for analyzing financial data and making recommendations. The course Getting Started with Augmented Analytics in Sisense may be useful for this role because it can help Financial Analysts understand how to use AI to improve the efficiency and effectiveness of their work. AI can be used to automate many tasks that are typically performed by Financial Analysts, freeing up their time to focus on more complex and strategic tasks.

See salaries and explore the career path for Financial Analyst

Product Manager

Product Managers are responsible for managing the development and marketing of a product. The course Getting Started with Augmented Analytics in Sisense may be useful for this role because it can help Product Managers understand how to use AI to improve the efficiency and effectiveness of their work. AI can be used to automate many tasks that are typically performed by Product Managers, freeing up their time to focus on more complex and strategic tasks.

See salaries and explore the career path for Product Manager

Operations Manager

Operations Managers are responsible for planning and executing operations. The course Getting Started with Augmented Analytics in Sisense may be useful for this role because it can help Operations Managers understand how to use AI to improve the efficiency and effectiveness of their work. AI can be used to automate many tasks that are typically performed by Operations Managers, freeing up their time to focus on more complex and strategic tasks.

See salaries and explore the career path for Operations Manager

Consultant

Consultants are responsible for providing advice and guidance to organizations on a variety of topics. The course Getting Started with Augmented Analytics in Sisense may be useful for this role because it can help Consultants understand how to use AI to improve the efficiency and effectiveness of their work. AI can be used to automate many tasks that are typically performed by Consultants, freeing up their time to focus on more complex and strategic tasks.

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Risk Manager

Risk Managers are responsible for identifying and managing risks. The course Getting Started with Augmented Analytics in Sisense may be useful for this role because it can help Risk Managers understand how to use AI to improve the efficiency and effectiveness of their work. AI can be used to automate many tasks that are typically performed by Risk Managers, freeing up their time to focus on more complex and strategic tasks.

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Auditor

Auditors are responsible for examining an organization's financial records to ensure that they are accurate and complete. The course Getting Started with Augmented Analytics in Sisense may be useful for this role because it can help Auditors understand how to use AI to improve the efficiency and effectiveness of their work. AI can be used to automate many tasks that are typically performed by Auditors, freeing up their time to focus on more complex and strategic tasks.

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Marketing Manager

Marketing Managers are responsible for planning and executing marketing campaigns. The course Getting Started with Augmented Analytics in Sisense may be useful for this role because it can help Marketing Managers understand how to use AI to improve the efficiency and effectiveness of their work. AI can be used to automate many tasks that are typically performed by Marketing Managers, freeing up their time to focus on more complex and strategic tasks.

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Compliance Officer

Compliance Officers are responsible for ensuring that an organization complies with all applicable laws and regulations. The course Getting Started with Augmented Analytics in Sisense may be useful for this role because it can help Compliance Officers understand how to use AI to improve the efficiency and effectiveness of their work. AI can be used to automate many tasks that are typically performed by Compliance Officers, freeing up their time to focus on more complex and strategic tasks.

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Sales Manager

Sales Managers are responsible for leading and managing sales teams. The course Getting Started with Augmented Analytics in Sisense may be useful for this role because it can help Sales Managers understand how to use AI to improve the efficiency and effectiveness of their work. AI can be used to automate many tasks that are typically performed by Sales Managers, freeing up their time to focus on more complex and strategic tasks.

See salaries and explore the career path for Sales Manager

Business Analyst

Business Analysts are responsible for understanding the needs of a business and translating those needs into technical requirements. The course Getting Started with Augmented Analytics in Sisense may be useful for this role because it can help Business Analysts understand how to use AI to improve the efficiency and effectiveness of their work. AI can be used to automate many tasks that are typically performed by Business Analysts, freeing up their time to focus on more complex and strategic tasks.

See salaries and explore the career path for Business Analyst