AI Data Analytics & Business Intelligence Training in Vizag

AI Data Analytics and Business Intelligence training in Vizag at Softenant Technologies connects Excel, SQL, Python-assisted analysis and Power BI dashboards with responsible AI support. Learn to turn business questions into traceable metrics, validate generated suggestions and explain the evidence behind a report. The course serves learners in Visakhapatnam who want to combine analytical judgement with practical reporting workflows.

AI-assisted analysis that you can validate

Learners distinguish an AI-generated draft from a validated analysis: they check sources, calculations, filters, KPI definitions and dashboard refresh logic before presenting a conclusion.

AI analytics and business intelligence syllabus

  • Excel and SQL analysis workflow. Organise source tables, filter and group records, calculate summaries and compare totals. Check row counts and keys before combining datasets so duplicated records do not inflate a result.
  • Python data-cleaning and exploration concepts. Inspect data types, missing values and duplicates; document the cleaning choices. Compare groups and distributions, then confirm that the transformed dataset still represents the business question.
  • Power BI modelling, measures and dashboards. Connect tables through appropriate relationships and define measures with a clear business meaning. Test how filters change reported totals and choose visuals that make comparisons easy to read.
  • AI-assisted analysis with validation. Use AI support to draft questions, explanations or analytical steps, then inspect the proposed logic. Recalculate a known example and record corrections before presenting generated text as a finding.
  • KPIs, storytelling and stakeholder questions. Define each metric, its reporting period and the decision it supports. Explain changes with supporting evidence, distinguish observations from possible causes and state limitations clearly.

Project evidence

Sales-performance Power BI dashboard
Customer-segment analysis with validation notes
AI-assisted report with source checks
Executive KPI dashboard and presentation

How practical work is assessed

Projects are reviewed against defined inputs, implementation choices, test cases, output quality and documented limitations. Learners should be able to explain the workflow, not just show a final screen or code sample.

Trusted by Softenant Technologies Students

Read Our Google Reviews

Choose the right analytics learning path

This course focuses on validating AI-assisted analysis across the reporting workflow. For a broader starting point, explore the Data Analytics course. For focused dashboard-tool study, see Power BI training in Vizag. Each path supports a different learning goal; discuss your current skills before choosing.

Suggested sales-dashboard practice

Use a fictional sales dataset with order dates, products, customers and revenue. Define the reporting period and what one row represents before calculating totals. Compare the dashboard total with an independent spreadsheet or SQL calculation, test a missing customer key and inspect how a date filter changes the result.

Ask an AI assistant to draft a short explanation of the change, then check every number and causal claim against the data. Keep the prompt, calculations, corrections and final chart together so another person can review your reasoning.

Read more about AI-assisted reporting

The guide to conversational analytics with Microsoft Fabric data agents provides a related example of asking questions about business data. Use it as further reading about permissions, source checks and validation; product availability and licensing depend on the environment.

AI analytics course FAQs

What is AI data analytics and business intelligence?

It combines data preparation, analysis, business metrics and dashboards with AI assistance. An analyst still checks source data, calculations, filters and conclusions before using an AI-assisted result in a business report.

Which tools and skills are included in the syllabus?

The syllabus covers Excel and SQL analysis workflows, Python data-cleaning and exploration concepts, Power BI modelling and dashboards, AI-assisted analysis with validation, and KPI storytelling.

How does this differ from a dedicated Power BI course?

This course connects multiple steps in an analyst workflow, including AI-assisted drafts and their validation. A dedicated Power BI course focuses more directly on the reporting tool, models, measures and dashboard development.

What background is useful before starting?

Comfort with spreadsheets, percentages and basic business questions is useful preparation. SQL queries and Python fundamentals support the technical exercises. Discuss your current experience so the learning sequence and project scope can be matched to your starting point.

How should an AI-generated analysis be checked?

Confirm the source and reporting period, compare totals with a trusted calculation, inspect filters and missing records, and test the result against a known example. Treat explanations as drafts until the underlying numbers support them.

What can an analytics portfolio project include?

The listed projects include a sales-performance Power BI dashboard, customer-segment analysis, an AI-assisted report with source checks and an executive KPI dashboard. Include the question, source description, metric definitions, validation checks and limitations in the project write-up.

Discuss your learning goals

Contact Softenant Technologies about the syllabus, your current skills and suitable project goals. Call +91 9393969628 or send a WhatsApp enquiry.

Visit: Flat No. 101, Geetha Mansion II, Junction, opposite Andhra Bank, Akkayyapalem, Visakhapatnam, Andhra Pradesh 530016, India.