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Data Science & Machine Learning Master Program

The full data career stack in one program: everything in our AI Powered Data Analyst track and everything in our ML Engineer track, sequenced into 8 months. You start at zero Python and finish having deployed machine learning models to the cloud. The order is deliberate. First the four tools every data team runs on: Python with its data libraries, SQL, Excel, and Power BI. Then the statistics that make machine learning make sense, core ML itself, and the Generative AI layer: prompt engineering, AI-assisted analysis, unstructured data mining with LLMs, and automation with the OpenAI and Anthropic APIs. It closes with cloud deployment on AWS SageMaker and a capstone month: an end-to-end AI-powered analytics system plus a churn model trained, containerized with Docker, and deployed as a live API. Every module ships projects to your GitHub. A 15-day job bootcamp and a professional skills track running from week one close the gap between trained and hired. No coding or math background needed. Eight focused months, one complete data career.

Intermediate Lvl
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8 months +1 format
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Livestream & In-person
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Call Duration:20 Mins
What to expect on call?

Your questions answered, specific guidance and support.

This is a Career Program

At a Glance

A snapshot of what makes this course standout.

13 technical modules covering the complete data stack: Python, SQL, Excel, Power BI, statistics, machine learning, Generative AI, and cloud deployment, plus a 15-day job bootcamp.

Two programs in one: the full AI Powered Data Analyst curriculum and the full ML Engineer curriculum, sequenced end to end across 8 months.

15+ mentor-reviewed projects shipped to your GitHub, from dashboards and SQL case studies to trained and deployed ML models.

Generative AI woven through the workflow: prompt engineering, hallucination control, LLM-based unstructured data mining, and automation with the OpenAI and Anthropic APIs.

Core ML depth: regression, decision trees, KNN, clustering, ensembles, model evaluation and optimization, plus a BERT-powered fake review detection capstone.

Cloud deployment track most courses skip: AWS SageMaker, Docker, and real-time inference APIs.

Capstone month with two defining builds: an AI-powered analytics system defended in a stakeholder review, and a churn-prediction pipeline deployed live.

15-day job bootcamp: daily mock interviews, whiteboard challenges, salary negotiation coaching, and placement drives.

Human-Centric Professional Skills track running parallel from week one: communication, storytelling with data, resume and LinkedIn rebuild, recorded mocks.

Live mentor-led cohorts by industry experts: 8,000+ professionals trained over 15+ years, certificate on completion, placement support through the 20+ hiring-partner network, lifetime TX Backstage access.

Prerequisites

Baseline knowledge for this course.

No coding or math background required. We start from zero Python and build everything in order. If you can use a laptop, you can enroll.

Learning Formats

Schedules and formats available.

Days

Mon-Fri

Duration

8 months

Time

1.5 hours per session

How to Attend

Available online or in person.

Held at all Techboxx Campuses

Physical classroom experience

What you learn

Overview of topics covered in this course

Kickstart your journey with hands-on Python training, from core syntax and data structures to functions, file handling, and basic automation. You'll learn to think like a programmer, write clean code, and debug efficiently using Jupyter and Colab notebooks. Milestone Practice: Daily coding drills and GitHub version control integration.

Lab Experience

Infrastructure you'll work with hands-on

  • •Python (via Anaconda Distribution) for all coursework
  • •Jupyter Notebook and Google Colab for interactive development
  • •Git and GitHub for version control and your project portfolio

Global

For learners outside the subcontinent

Pricing shared on request

Reach out and our team will walk you through pricing, payment plans and any available offers for this program.

Regional

Accessible region-based pricing

Pricing shared on request

Reach out and our team will walk you through pricing, payment plans and any available offers for this program.

Enterprise

Tailored for teams & organizations

What to Expect?

Personalized consultation, custom training plans tailored to your team, comprehensive progress tracking and reporting, flexible scheduling options, and quote-based pricing designed for your organization's needs.

What you become

Roles and career paths this course opens up

Collect, clean, analyse, and visualise data with Generative AI run through the whole workflow. The profile JDs across BFSI, IT services, and product companies now explicitly list.

Prepares you for

Certifications & career paths

The Power BI and DAX modules align directly with the PL-300 exam domains: preparing, modelling, visualising, and analysing data.
Our most complete data program: the full AI Powered Data Analyst curriculum and the full ML Engineer curriculum combined into 8 months. You start at zero Python and finish with analytics mastery (SQL, Excel, Power BI, Gen AI workflows) plus machine learning models you have trained, containerized, and deployed to the cloud. It closes with a capstone month, a 15-day job bootcamp, and a professional skills track that runs from week one.
Freshers from any degree, career switchers from non-tech backgrounds, people restarting after a break, working professionals who want the complete data skillset rather than a slice of it, and self-learners stuck between scattered tutorials. Everyone starts at the same place: the first line of Python.
No. Module 1 starts at zero Python, and the math module is taught for intuition through real datasets, placed deliberately before machine learning so models make sense instead of feeling like magic.
It is both of them, sequenced end to end. If you want analytics only, take the AI Powered Data Analyst program. If you want models and deployment only, take ML Engineer. This program is for people who want the complete stack and the widest set of roles: analyst, data scientist, and ML engineer interviews all become open to you.
15+ mentor-reviewed projects: Excel and Power BI dashboards, SQL case studies, churn and price prediction models, heart disease classification, sentiment mining of unstructured reviews, a BERT-powered fake review detector, and a capstone month with two builds: an AI-powered analytics system defended in a stakeholder review, and a churn model deployed live on AWS SageMaker with Docker.
Because anyone can ask AI, few can guide it. An untrained user pastes data into ChatGPT, accepts the first answer, and cannot tell when it is hallucinating. A trained data professional breaks the question into steps, guides AI through explore, clean, analyse, validate, refine, and cross-checks every output. Hiring managers do not pay for access to AI. They pay for the discipline of analysis around it.
AI is replacing people who only generate output, and raising pay for people who can direct it, validate it, and deploy it. This program trains both sides: using Gen AI to work faster, and building the ML systems companies run. You will not be competing with AI. You will be the person who builds with it and knows when it is wrong.
Yes. The weekend track runs Saturday and Sunday at 2.5 hours per session, all sessions are recorded, and mentors are available for catch-up support throughout.
We call it Kashmir pricing: a globally relevant curriculum priced for our region. The program lists at Rs 1,50,000. The current price is Rs 55,000 one-time, or Rs 65,000 on the installment plan. Same mentors, same labs, same placement support at every price point. Compare the syllabus with metro bootcamps charging three to four times more; that comparison is the point.
Yes. Data hiring is portfolio-first: 15+ clickable projects, a deployed ML pipeline, and an AI-enabled skillset speak before your resume does. The professional skills track then coaches you on presenting the gap with confidence instead of apology.
All sessions are recorded, mentors run regular doubt-clearing sessions, and the cohort structure means you are never learning alone. If life interrupts, we work out a catch-up plan rather than leaving you behind.
Yes, the Techboxx course completion certificate, endorsed by industry mentors. But the portfolio matters more: recruiters click GitHub links before they read certificates, and you will graduate with both.
Data Analyst (AI-Enabled), Junior Data Scientist, Machine Learning Engineer, Business Intelligence Analyst, AI Engineer, MLOps and Cloud ML Engineer, Analytics Automation Specialist, and Python Developer on data teams. The breadth is the advantage: you can interview across all three career tracks.
Yes. Python, SQL, Power BI, machine learning, and cloud deployment are globally portable skills, and Gen AI fluency is in demand in every market. The portfolio you build works in any interview, anywhere.
100% refund if cancelled 7 or more days before cohort start. 50% refund within the first week of the cohort. No refund after that. Medical or emergency situations are handled case-by-case with credit toward future courses.
Call or WhatsApp us at +91-8899-99-5512, or visit techboxx.one to book a free 1-hour consultation with a Techboxx mentor. No pitch, no pressure: a real conversation about your background, your goals, and whether this program is the right move for you. Seats per cohort are limited, so reach out early.
Have a specific question?
Industry experts with 15+ years of deep experience in tech domains
Round-the-clock learner support to answer queries and solve issues
Access to Techboxx's exclusive learning community and resources

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