Every company sits on a mountain of data — sales numbers, customer behaviour, website clicks. Most of them don’t know what to do with it. This course trains you to be the person who does.
Somewhere right now, a company is trying to figure out why sales dropped last quarter, or which customers are about to leave, or what product to launch next. The answer is buried in their data — someone just needs to dig it out.
That’s what a data scientist does. This course takes you from the basics of Python and statistics all the way to machine learning models that actually predict outcomes. You won’t just learn formulas — you’ll work on real datasets, build real models, and learn to explain what the numbers mean to people who aren’t data experts.
By the end, you’ll be able to walk into a business problem, pull the right data, build a model, and hand over an answer that helps someone make a decision.
25,000 Rs
90 Days
12
English, Tamil, Telugu
Digital, Physical
Career Outcomes
Every industry now runs on data-driven decisions. Once you complete this course, you can move into roles like:
Upcoming Batches
Pick the mode that fits your schedule — same curriculum, same mentors, same outcomes.
Mon – Fri · Live Interactive Classes
Reserve This BatchTools You'll Use
Explore what you'll actually do with each tool in your data science stack.
Admissions Open
Seats for the next batch are limited. If you've been thinking about a career in digital marketing, this is the moment to stop thinking and start learning.
Learners already building new careers
Only 5 seats left for this batch
Zero-cost EMI · 7-day refund policy
Course Curriculum
From Python and statistics to Generative AI and MLOps — a curriculum built for how data teams work in 2026.
Career Outcomes
Our learners get placed at these companies — real hiring partners, not a wishlist.
TCS
Infosys
Wipro
Accenture
Cognizant
Capgemini
HCLTech
Tech Mahindra
IBM
Oracle
Deloitte
Amazon
.svg){kind=logo}
Microsoft
Google
Delivery Framework
Explore an interactive step-by-step journey.
Guided onboarding and basics
Expert-Led Structured modules
Hands-On Practice
Industry Tool Mastery
Portfolio and interview prep
Not stock photos. Not made-up numbers. Actual students, actual companies, actual offer letters.
Aravind K.
Software Engineer
Zoho
Sneha R.
Data Analyst
Freshworks
Manoj P.
ML Engineer
Tredence
Divya S.
AI Developer
Infosys
Join the next batch and start your journey toward a real offer letter like these.
Book Your Free ConsultationGot Questions?
Course details, career outcomes, market demand, and placement support — all in one place.
You'll cover Python & SQL, statistics, data wrangling, machine learning, data visualization, A/B testing, and applied deep learning — 12 modules in total, from fundamentals to a real capstone project.
Yes. Module 1 starts from the basics of how data analysis and statistics work — no prior programming or math background is assumed.
The full program runs 16 weeks across 12 modules, with both weekday and weekend batch options, online or offline.
Yes — every module includes practical exercises with real datasets, and the course ends with a capstone project: an end-to-end data science solution you build, validate, and present.
Roles like Data Analyst, Junior Data Scientist, Business Intelligence Analyst, Data Science Associate, and Analytics Consultant are all realistic starting points.
Yes — many learners join from non-technical backgrounds. The curriculum is built to take you from zero to job-ready without assuming prior coding or statistics experience.
Not upfront. Basic comfort with numbers and logical thinking helps, but the statistics and math you need are taught step by step within the course.
Most start as a Data Analyst/Associate, move to Data Scientist within 1–2 years, then into Senior Data Scientist or Lead roles (Analytics Lead, ML Lead) as experience builds.
Yes — the tools are evolving (AI-assisted analysis, automated pipelines), but the demand for people who can turn data into decisions keeps growing across every industry.
AI is automating repetitive analysis work, which is exactly why this course includes AI-assisted workflows and modern tooling — so you're trained on the skills AI can't easily replace, like framing problems and interpreting results.
Practically every industry — finance, healthcare, e-commerce, SaaS, logistics, and consulting firms serving all of the above. It's one of the more portable skill sets across sectors.
Yes — many learners freelance or consult right after, since the skills (data analysis, dashboards, predictive models) are exactly what small businesses hire freelancers for.
Yes — resume reviews, mock interviews, and direct referrals into our hiring partner network are included as part of the program.
We provide active placement support, not a guaranteed offer — outcomes depend on your portfolio, interview performance, and market conditions at the time you complete the course.
Resume and interview prep begin around Module 9, so you're ready to start applying as soon as you finish the capstone project — not months afterward.
Placement support isn't a one-time referral — you continue to get access to new openings, mentor check-ins, and mock interview practice until you land a role.
© 2026 Created with Time to Success IT Solutions
