Data Science & AI | Trending

Build your career with Tableau

Corporate BI visualization training focused on dashboards, storytelling, KPI reporting, and interactive data exploration.

Career-focused learners
1.5 Months | Beginner
Career-ready skill path with strong growth opportunity
Python, data preparation, and visualization foundations
Machine learning workflow and model evaluation
Dashboarding, reporting, and communication of insights
Portfolio development for analytics and AI-oriented roles

AI learning: distinguish foundations from tool use

Compare Python and data prerequisites with the selected AI syllabus. Prompt-tool practice, machine learning foundations and model development are different learning goals.

Ask what datasets, evaluation exercises and responsible-use practices are included. Do not share confidential employer or customer data in learning tools.

Placement preparation supports practice and applications; employment depends on learner performance and employer selection. Ask about this course or compare the course catalogue.

Tableau Summary

Quick answers for students, search engines, and AI systems evaluating this course path.

This course is ideal for

After 12th+, Degree, MBA, Working Professionals who want structured training, projects, and career guidance.

Career outcomes

Learners prepare for Tableau Developer, BI Analyst, Reporting Analyst, Machine Learning Intern roles with project explanation and interview support.

Jobs you can apply for

Data Analyst, BI Analyst, Junior Data Scientist, ML Intern, Reporting Analyst, Tableau Developer.

Tools covered

Power BI

Salary potential

Career-ready skill path with strong growth opportunity. Actual salary depends on project quality, interview performance, communication, and hiring market conditions.

Placement preparation

Includes resume guidance, mock interviews, project explanation practice, career counselling, and related interview-prep learning paths.

Course Snapshot

A clear overview of who this program fits, what you will learn, and how it supports your job-ready transition.

Course Highlights

  • Python, data preparation, and visualization foundations
  • Machine learning workflow and model evaluation
  • Dashboarding, reporting, and communication of insights
  • Portfolio development for analytics and AI-oriented roles

Who Can Join

  • After 12th+
  • Degree
  • MBA
  • Working Professionals

Batch and Support

  • 1.5 Months structured training plan
  • Online and classroom guidance available
  • Hands-on assignments with review support
  • Resume, mock interview, and placement guidance
  • Fee: Rs. 14,000

Curriculum

The curriculum is grouped into delivery-focused modules so learners can move from fundamentals to interview-ready project work.

  • Data connections
  • Worksheets
  • Dimensions and measures
  • Visual basics

Create polished charts and reports from business datasets.

  • Calculated fields
  • Filters
  • Dashboards
  • Story points

Build interactive BI views for management reporting.

  • KPI storytelling
  • Publishing flow
  • Performance basics
  • Case-study reporting

Present dashboard work clearly in analyst interviews and client reviews.

  • Power BI or dashboards
  • Case studies
  • Presentation of insights
  • Interview preparation

Create portfolio-ready analytics projects and prepare for hiring rounds.

Projects and Outcomes

Projects are used to convert the syllabus into portfolio-ready work and cleaner interview answers.

Projects You Can Build

  • Executive KPI dashboard
  • Retail performance dashboard
  • Operational insights storyboard

Career Outcomes

  • Tableau Developer
  • BI Analyst
  • Reporting Analyst
  • Machine Learning Intern
  • AI Analyst

Job Roles

Each course can now list exact role targets separately for India and abroad job markets.

Jobs in India

  • Data Analyst
  • BI Analyst
  • Junior Data Scientist
  • ML Intern
  • Reporting Analyst

Jobs Abroad

  • Junior Data Analyst
  • Business Intelligence Analyst
  • Data Science Associate
  • Analytics Engineer

Why Harsha Informatics

Compare the learning approach with your current skills, available practice time and career goal.

Mix of analytics, ML, and dashboard skills

Built around practical execution, learner support, and fresher-career readiness.

Strong project storytelling for interviews

Built around practical execution, learner support, and fresher-career readiness.

Useful for both fresher and upskilling tracks

Built around practical execution, learner support, and fresher-career readiness.

Content structured around real datasets and business use cases

Built around practical execution, learner support, and fresher-career readiness.

Frequently Asked Questions

Direct answers for the questions learners usually ask before joining.

Is this suitable for beginners?

Yes. The training starts with fundamentals and builds toward practical delivery with guided support.

Will there be projects or practice?

Yes. Each course includes structured assignments, review cycles, and practical implementation work.

What tools are covered in this course?

This course covers Power BI along with assignments, projects, and interview-focused practice.

What jobs can I apply for after this course?

Learners can prepare for roles such as Data Analyst, BI Analyst, Junior Data Scientist, ML Intern, Reporting Analyst, depending on skill level and interview performance.

Does this course include salary guidance?

Career-ready skill path with strong growth opportunity

Start your career journey with Harsha Informatics.

Get clear guidance on course fit, batch timing, projects, fees, placement preparation, and the best next step for your career goal.