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

Batch dates, exact timings, delivery availability and fees can change by cohort. SATTIX AI confirms the current details before enrolment.
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.
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.
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.
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.
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.
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.
Analytics Foundations
Understand the concept, practise the workflow and apply it to a realistic task.
Advanced Excel
Understand the concept, practise the workflow and apply it to a realistic task.
SQL Fundamentals
Understand the concept, practise the workflow and apply it to a realistic task.
SQL for Analysis
Understand the concept, practise the workflow and apply it to a realistic task.
Data Cleaning
Understand the concept, practise the workflow and apply it to a realistic task.
Power BI
Understand the concept, practise the workflow and apply it to a realistic task.
Tableau
Understand the concept, practise the workflow and apply it to a realistic task.
Data Visualization
Understand the concept, practise the workflow and apply it to a realistic task.
Dashboard Design
Understand the concept, practise the workflow and apply it to a realistic task.
Data Storytelling
Understand the concept, practise the workflow and apply it to a realistic task.
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.
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.
Sales Performance Dashboard
SQL · Excel · KPI logic
Customer Behaviour Analysis
Power BI · DAX · dashboarding
Operations KPI Dashboard
Tableau · visual storytelling
Marketing Analytics Report
Data cleaning · business reporting
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
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.
Turn your work into a stronger professional story.
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.
Program Completion
Ask the admissions team for the current certification criteria and sample certificate.
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.
Compare the tools and workflows with your current background.
Ask what you will build, review and present during the program.
Connect the learning outcomes to realistic entry-level or transition roles.
Hear from learners who have experienced SATTIX AI.
Perspectives across AI, data and analytics learning paths, presented in a cleaner testimonial layout.
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.
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.
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.
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.
