10,000+Skillsbiz learners trained
Admissions open · Live online programs
Build practical skills for Data Analytics.
Choose a focused program built around live instruction, weekly 1:1 mentorship, eight portfolio projects and structured career support. Learn online with a small cohort and earn a digitally verifiable certificate from Skillsbiz Education.
✓ Monthly intakes
✓ Maximum 20 learners
✓ Weekday & weekend batches
✓ Up to 12 zero-interest EMIs
4 ProgramsDistinct career paths
Live OnlineWeekday & weekend
8 ProjectsIn every program
90-Day SupportAfter completion
4.8/5Skillsbiz learner rating
8Projects in every program
20Maximum learners per cohort
Examples of employers in the data and technology market. Logos are shown for career context only; no hiring partnership or endorsement is implied.
Choose your program
Four focused pathways through data and AI.
Select the program that matches the work you want to do, the technical depth you need and the portfolio you want to build. Program fees are subject to GST, with up to 12 zero-interest EMIs available.
PROGRAM 016 months · 18 weeks
Data Analytics + Gen AI
Build foundations in Excel, SQL and Python, then create dashboards and reports in Tableau and Power BI. Use Gen AI to support analysis, documentation and insight communication.
Core toolkit
ExcelSQLPythonTableauPower BI
PROGRAM 026 months · 18 weeks
Business Analytics + Gen AI
Apply analytics to KPIs, forecasting, customer behaviour, operations and strategy. Build decision-ready dashboards and finish with a consulting-style business capstone.
Core toolkit
ExcelPower BIGoogle AnalyticsSQLPython
PROGRAM 0312 months · 36 weeks
Data Science & AI
Develop Python and mathematics foundations before progressing through machine learning, deep learning, computer vision, NLP, MLOps and model deployment.
Core toolkit
PythonTensorFlowPyTorchScikit-learnKeras
PROGRAM 044 months · 16 weeks
Generative AI
Build applied LLM solutions through prompt engineering, APIs, LangChain, retrieval-augmented generation, vector databases, multimodal workflows and AI agents.
Core toolkit
PythonOpenAI APILangChainHugging FacePinecone
Small live cohorts
Every cohort is limited to 20 learners to support interaction, questions and individual attention.
Flexible batch options
Choose from monthly weekday or weekend cohorts delivered live online.
Eight portfolio projects
Apply the curriculum through realistic briefs, documented case studies and a final capstone.
Weekly 1:1 mentorship
Review concepts, project decisions and your learning progress in recurring individual sessions.
90-day career support
Prepare your resume, LinkedIn profile, portfolio and interviews with structured support after completion.
Long-term learning access
Keep lifetime access to learning materials and revisit class recordings for 12 months after completion.
Portfolio work is built into every program.
Complete eight reviewed projects that turn the curriculum into work you can present and explain.
Applied learning
Learn through the work each role demands.
Classes connect concepts to practical tasks: defining a useful question, selecting an approach, working with data, checking the result and presenting a clear conclusion. Projects and mentor reviews help you practise the complete workflow.
Frame the right question
Understand the business or user need before choosing a tool, model or visualisation.
Review and improve your decisions
Use mentor feedback to strengthen your reasoning, code, analysis, documentation and final presentation.
Communicate the result clearly
Practise explaining dashboards, models and AI applications to technical and non-technical audiences.
From enrolment to career preparation
A structured path from foundations to portfolio-ready work.
The pace varies by program, but every pathway follows the same sequence: establish direction, build core skills, complete reviewed work and prepare to present it professionally.
Program start
01Establish your direction
Assess & Plan
Review your starting point, target roles and program expectations before beginning the core curriculum.
BaselineRole directionLearning plan
Core curriculum
02Build the fundamentals
Learn & Practise
Develop technical and analytical fluency through live classes, guided exercises and regular mentor reviews.
Live classesGuided practiceMentor reviews
Project phase
03Apply what you learn
Build & Review
Complete eight realistic projects, strengthen them through feedback and document the clearest work for your portfolio.
Case studiesWritten feedbackPortfolio
Final phase + 90 days
04Prepare for opportunities
Present & Apply
Refine your resume and LinkedIn profile, complete three mock interview rounds and receive 90 days of placement assistance.
ATS resumeMock interviewsPlacement support
Why learn with the School
Clear structure, individual guidance and practical outcomes.
Each program combines a defined curriculum with live teaching, recurring feedback and career preparation—so you know what to learn, how to practise it and how to present your work.
Live cohort learning
Attend interactive online classes with no more than 20 learners in a cohort.
Individual mentorship
Meet your mentor every week to review concepts, project decisions and progress.
Role-relevant curriculum
Learn the methods and tools required for a specific analytics, data science or applied AI pathway.
Reviewed project portfolio
Complete eight realistic projects and improve the work through structured feedback.
Long-term learning access
Retain learning materials for life, recordings for 12 months and structured doubt support for five years.
Career preparation
Receive portfolio, resume, LinkedIn and interview support, followed by 90 days of placement assistance.
Program toolkits
Learn the tools behind modern data and AI work.
Toolsets vary by pathway—from Excel, SQL and Power BI to TensorFlow, PyTorch, LangChain and vector databases. Each tool is introduced in the context of the task it helps you complete.
Weekly 1:1 mentorship
Personal guidance throughout the program.
Your recurring one-to-one sessions create space to resolve difficult concepts, review project decisions and keep your learning aligned with the work you want to pursue.
Concept reviewsClarify difficult topics and address gaps before they affect later modules.
Project feedbackReview your approach, analysis, code and technical decisions.
Portfolio guidanceImprove project framing, documentation and presentation quality.
Career preparationConnect your skills and portfolio to relevant roles and interview expectations.
Career directions
Choose a program based on the work you want to do.
The four pathways prepare you for different role families. Your eventual title and outcome will also depend on your experience, portfolio, performance and the opportunities available in the market.
Data Analyst
Investigate data, build dashboards, answer business questions and communicate clear insights.
SQL • BI • Excel • Python
Business Analyst
Translate business goals into measurable questions, KPIs, analysis and decision-ready recommendations.
Metrics • Forecasting • BI • Storytelling
Data Scientist
Develop predictive approaches, evaluate models and use data to solve more complex quantitative problems.
Python • Statistics • ML • Deep Learning
Generative AI Developer
Build LLM-powered applications, retrieval systems, multimodal workflows and AI agents.
LLMs • RAG • APIs • Agents
Frequently asked
Questions before you choose a program?
Compare the starting requirements, learning format, projects, certification and career support before you apply.
Not sure where to begin?
Discuss your background and target role with an admissions advisor at no cost.
Book free counsellingData Analytics + Gen AI and Business Analytics + Gen AI are suitable for beginners who are ready to learn technical tools step by step. Data Science & AI requires stronger comfort with mathematics and programming. Generative AI is intended for learners with basic programming familiarity rather than complete coding beginners.
Data Analytics focuses on querying, dashboards, reporting and insight communication. Business Analytics adds stronger commercial, KPI, forecasting and strategy applications. Data Science & AI goes deeper into mathematics, machine learning and model deployment. Generative AI focuses on LLM applications, RAG, vector databases, multimodal systems and agents.
Programs are delivered through live online cohorts with weekday and weekend options and monthly intakes. Each cohort is limited to 20 learners. Class recordings remain available for 12 months after program completion.
Every program includes eight realistic portfolio projects, including a final capstone. Projects are reviewed by mentors and documented as case studies so you can explain the problem, your approach and the result clearly.
Career support includes resume and LinkedIn guidance, portfolio preparation, three mock interview rounds, job-portal access, referrals and placement drives, followed by 90 days of active placement assistance. These services support your job search but do not guarantee employment.
Yes. After meeting the completion requirements, you will receive a Certificate of Completion in your program, issued and digitally verifiable by Skillsbiz Education.
Free admissions counselling
Talk to an advisor before you apply.
Share your background, program interest and career goal. An admissions advisor will help you compare the four options and respond within 12 hours during working hours: 10:00 AM–6:00 PM, Monday–Saturday.
✓ Review program fit and prerequisites
✓ Confirm fees, EMIs and batch options
✓ Request the detailed program brochure