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Qlik – AI analytics platforms

  • Duration: 7 hours
  • Exam Voucher: Yes
  • Language: English
  • Course Delivery : E - Learning Access
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Course Overview

The Qlik / Sisense / ThoughtSpot – AI Analytics Platforms course equips professionals with hands-on skills to design and operate modern analytics experiences powered by AI-assisted exploration. Learners gain practical experience building governed dashboards, enabling self-service analysis, and using natural-language insights to reduce time-to-answer—while maintaining security, consistency, and stakeholder trust. This course is designed for organisations that want analytics to be a daily habit, not a monthly report: clean metrics, fast discovery, embedded experiences, and adoption playbooks that stick.

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Course Details

  • Understand how AI-assisted analytics works across leading BI platforms and why governance matters
  • Build reliable dashboards and KPI layers that drive consistent decision-making
  • Use AI search/NLQ to speed up analysis and reduce dependency on analysts for routine questions
  • Enable embedded analytics for product and internal workflows (especially relevant for Sisense-style use cases)
  • Improve data trust with semantic definitions, access control, and versioned metrics
  • Strengthen adoption with rollout patterns, enablement assets, and usage measurement
  • No prior AI analytics platform experience required (beginner-friendly)
  • Helpful (not mandatory): basic understanding of data concepts (tables, joins, KPIs) and business reporting
  • Best suited for: BI analysts, data analysts, product analytics teams, business stakeholders, RevOps/FinOps teams, and platform owners
  • Understand the operating model of modern BI + AI analytics platforms
  • Build dashboards and KPI layers with consistent definitions and governance controls
  • Use natural-language querying and AI exploration to accelerate insights
  • Design analytics experiences for different audiences (executives, managers, frontline users)
  • Implement embedded analytics patterns for internal tools or customer-facing products
  • Apply security, data access, and governance best practices for production rollout
  • Measure adoption and improve usage through feedback loops and enablement workflows
  • AI analytics platform landscape: Qlik vs Sisense vs ThoughtSpot—strengths and fit by use case
  • Core BI foundations: measures, dimensions, filters, drill-downs, and dashboard storytelling
  • Semantic layer & KPI governance: definitions, consistency, and trusted metrics
  • AI-assisted exploration: natural-language queries, search-driven analytics, and insight surfacing
  • Self-service analytics: reducing bottlenecks while maintaining guardrails
  • Embedded analytics patterns: in-app dashboards, role-based experiences, and multi-tenant considerations
  • Data connectivity & refresh: sources, schedules, performance basics, and reliability mindset
  • Collaboration & sharing: narratives, annotations, subscriptions, and stakeholder alignment
  • Security & governance: permissioning, row-level access patterns, auditability, and responsible usage
  • Adoption playbooks: onboarding, templates, usage tracking, and continuous improvement
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James Abot
★★★★★

Much obliged to you for this course. I get know understanding and information in utilizing various types of online apparatuses which are helpful and viable. I'll utilize some of them during my exercises. Also, heaps of much obliged.

Sayali Patil
★★★★★

This was a very immersive and interesting course from NovelVista a lot of self-learning to be done on your own to really understand and put together into practice the technology into your own course and workflow.

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It was truly an amazing learning session. I did have my apprehensions before signing up, but trainer made me feel so comfortable from the time we started the session till the very end of it.Thanks for this amazing experience.

Frequently Asked Questions

Who should take this course?+

Professionals who build, operate, or consume analytics—data/BI teams, product teams, and business leaders who want AI-assisted insights with governance and reliability.

Do I need advanced technical skills?+

No. The course is practical and workflow-led. Technical depth is introduced progressively, with emphasis on what matters for real adoption and decision-making.

Is this course platform-specific or comparative?+

It’s comparative and transferable—covering shared concepts and practical workflows across Qlik, Sisense, and ThoughtSpot, with platform-style patterns where relevant (governed analytics, embedded analytics, and search/NLQ).

What can I achieve after completion?+

You’ll be able to design and operationalise AI-assisted analytics experiences that are trusted, searchable, scalable, and adoption-ready across teams.