SATTIX AI Program · Bengaluru

Data Analytics

Build practical skills in Excel, SQL, Power BI, Tableau and data storytelling.

Practical work Guided feedback Career preparation
Indian learner working on practical Data Analytics skills
Learning accessBengaluru centreRippleHQ · Hulimavu Main Road · Bannerghatta Road

Batch dates, exact timings, delivery availability and fees can change by cohort. SATTIX AI confirms the current details before enrolment.

Why this course

Move from knowing the terms to doing the work.

This program is built for learners who want a clear path from fundamentals to practical capability. You will understand the concepts, practise the tools, build portfolio-ready work and learn how to explain your decisions in interviews and real project conversations.

Start at the right levelFoundations first, then guided practice, projects and career preparation.

Foundation friendly

Build the concepts in sequence instead of jumping between disconnected tutorials.

Project led

Turn each major skill into practical work you can show, explain and improve.

Guided review

Use feedback to understand what is working, what is missing and what to improve next.

Career connected

Connect your learning to role expectations, portfolio storytelling and interview readiness.

Program Experience

Learn the skill. Build the evidence. Explain the work.

The SATTIX method connects structured learning with practical execution, review and career communication so every stage has a visible outcome.

Learn with structure

Clear modules, guided practice and a defined progression.

Build practical work

Apply concepts to course-specific tasks and portfolio projects.

Review and improve

Use guided feedback and iteration to strengthen your execution.

Prepare for opportunities

Work on resume, LinkedIn, portfolio communication and interviews.

Core tools and workflowsExcelSQLPower BITableau
Who this is for

Know if this program fits before you commit.

No advanced technical background is required. Comfort with basic computer use and a willingness to work with data are enough to start.

Students and fresh graduates building job-relevant skills
Working professionals adding AI or data capability
Career switchers who want a structured starting point
Learners who prefer practical work over theory-only learning
From learning to capability

Every stage answers: what can I do with this?

The program moves through a deliberate sequence so learners can connect concepts to execution, feedback and career communication.

01UnderstandBuild the mental model.
02PractiseUse the tools with guidance.
03BuildCreate evidence through projects.
04PresentExplain your work with clarity.
Curriculum

What you will learn and apply.

The curriculum is organised around practical capability, not keyword coverage. Each module connects concepts to guided practice and application.

MODULE 01

Analytics Foundations

Understand the concept, practise the workflow and apply it to a realistic task.

MODULE 02

Advanced Excel

Understand the concept, practise the workflow and apply it to a realistic task.

MODULE 03

SQL Fundamentals

Understand the concept, practise the workflow and apply it to a realistic task.

MODULE 04

SQL for Analysis

Understand the concept, practise the workflow and apply it to a realistic task.

MODULE 05

Data Cleaning

Understand the concept, practise the workflow and apply it to a realistic task.

MODULE 06

Power BI

Understand the concept, practise the workflow and apply it to a realistic task.

MODULE 07

Tableau

Understand the concept, practise the workflow and apply it to a realistic task.

MODULE 08

Data Visualization

Understand the concept, practise the workflow and apply it to a realistic task.

MODULE 09

Dashboard Design

Understand the concept, practise the workflow and apply it to a realistic task.

MODULE 10

Data Storytelling

Understand the concept, practise the workflow and apply it to a realistic task.

Take the curriculum with you

Download the Data Analytics curriculum.

Get the module overview now. Our team can also share the latest fee, batch date and schedule when you are ready.

Practical Work

Build work you can discuss with confidence.

These project examples show the type of practical capability the program develops. Exact project briefs may evolve with the curriculum.

01

Sales Performance Dashboard

SQL · Excel · KPI logic

02

Customer Behaviour Analysis

Power BI · DAX · dashboarding

03

Operations KPI Dashboard

Tableau · visual storytelling

04

Marketing Analytics Report

Data cleaning · business reporting

Learning Outcomes

What you should be able to demonstrate.

Strong outcomes are visible in how you solve, build, document and explain your work.

Translate a business or user problem into a clear analytical approach

Use the core tools and workflows covered in the program with confidence

Build and document practical work that demonstrates your process

Explain decisions, trade-offs and results in a portfolio or interview conversation

Career Direction

Roles this capability can support.

Job outcomes depend on your background, effort, portfolio quality, interview performance and market conditions. SATTIX AI does not promise placements.

Data Analyst

Build role-relevant capability and learn to communicate your project evidence.

Business Intelligence Analyst

Build role-relevant capability and learn to communicate your project evidence.

Reporting Analyst

Build role-relevant capability and learn to communicate your project evidence.

Operations Analyst

Build role-relevant capability and learn to communicate your project evidence.

Marketing Analyst

Build role-relevant capability and learn to communicate your project evidence.

MIS Analyst

Build role-relevant capability and learn to communicate your project evidence.

Career Support

Turn your work into a stronger professional story.

Resume improvement LinkedIn profile guidance Portfolio storytelling Interview preparation Mock interview practice
Certification

Complete the program with evidence of learning.

Certificate type, eligibility and completion requirements are confirmed with the current cohort before enrolment. Project completion and program participation requirements may apply.

SATTIX AI

Program Completion

Ask the admissions team for the current certification criteria and sample certificate.

Before you enrol

Make the course decision with clarity.

Use the curriculum, practical work and career direction together. A good course choice should match both what you want to learn and the kind of work you want to become capable of doing.

01Check the skill fit

Compare the tools and workflows with your current background.

02Review the practical work

Ask what you will build, review and present during the program.

03Understand the role direction

Connect the learning outcomes to realistic entry-level or transition roles.

Learner perspectives

Hear from learners who have experienced SATTIX AI.

Perspectives across AI, data and analytics learning paths, presented in a cleaner testimonial layout.

Illustrated portrait of Rohan Kulkarni

Rohan Kulkarni

Early-career professional · Data Analytics

The SQL and dashboard practice gave me a more structured way to explain insights. I became more confident discussing what a metric means instead of only showing a chart.

Illustrated portrait of Sneha Patil

Sneha Patil

Career switcher · Data Analytics

I was looking for a learning path that did not assume I already knew analytics. The step-by-step practice around SQL, reporting and dashboards made the transition feel manageable.

Course FAQ

Questions students ask before joining.

The Data Analytics path includes SQL, reporting and dashboard workflows, with tools such as Power BI and Tableau represented in the curriculum. Confirm the latest tool coverage with the admissions team.

It is designed to build the reporting, querying, dashboard and data-storytelling capabilities commonly associated with entry-level analytics work. Role fit still depends on your background and portfolio.

This program is designed for students, fresh graduates, working professionals and career switchers. The best starting point depends on your current background, comfort with technology and career goal.

Not every learner starts at the same level. The admissions team can explain the expected prerequisites for your chosen program and whether you should complete any foundation work first.

The learning flow combines concepts, guided practice, course-specific tasks, project work, review and presentation. The goal is to help you explain what you built and why you built it.

Yes. Each program includes course-specific practical work. Project briefs can evolve with the curriculum so learners work on relevant tools, workflows and business problems.

Career preparation covers resume and LinkedIn improvement, portfolio communication, interview preparation and guidance on presenting your project work. Career outcomes still depend on your effort, background and market conditions.

Completion and certification requirements are confirmed for the current cohort before enrolment. Ask the admissions team for the latest eligibility criteria and a sample certificate.

Yes. Use the Book Free Demo option to request a course conversation or demo. You can compare the program, current schedule, fee and learning format before deciding.

Use the Get Fee Details, Book Free Demo or WhatsApp option. Current cohort details are confirmed by the SATTIX AI admissions team before enrolment.

Free Course Counselling

See whether Data Analytics fits your next step.

Ask about course fit, current fee, batch dates, timings, learning format and career direction in one conversation.

No payment required Current cohort details Course-fit guidance

No payment is required to request course guidance.

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