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Why choose this course?
Prestigious certification from Vishlesan i-Hub, IIT Patna
Real world capstone projects designed to solve practical challenges
Learn from IIT faculty & industry experts bringing real-world insights to your learning journey.
Placement assistance, resume reviews, coaching(Eligibility: 7 CGPA, 65% attendance)
*Certificate Eligibility: Minimum 65% overall attendance and 30% marks in cumulative evaluations score
What will you learn?
The starting point for every AI/ML program in this series. Build the data literacy, SQL fluency, and analytical thinking that every ML engineer and AI practitioner needs — before the real work begins.
Meet our Instructor Team
Megna Roy
Data Scientist, Google
Sharon Suresh
Engineering Analyst, Google
Subbu Padmanabhan
Engineering Lead, Nomia
Vipul Mishra
Associate Director Data Science, kipi.ai
Megna Roy
Data Scientist, Google
Sharon Suresh
Engineering Analyst, Google
Subbu Padmanabhan
Engineering Lead, Nomia
Vipul Mishra
Associate Director Data Science, kipi.ai
*Note: Instructors teaching your batch may change based on specific module expertise, or circumstances such as personal emergencies, unavailability etc.
Course Details
Data & SQL Foundations
- Build strong SQL from the ground up — the single most important skill every data and AI practitioner uses daily, regardless of what tools come after
- Go beyond basic queries: relational modelling, complex JOINs, window functions, CTEs, indexing, and query performance — the SQL that actually shows up in real work
- Build Python fluency for data work — core scripting, pandas, NumPy, file handling, and data wrangling workflows that bridge into every AI/ML program above
- Master Excel as a professional tool — pivot tables, XLOOKUP, conditional logic, and charting for when you need answers fast without writing a line of code
- Leave this module able to pull, clean, and shape data from any source — the prerequisite skill for every ML program in the series
Statistics & Visualisation
- Learn the statistics that matter for data work — mean, median, variance, distributions, and probability in the context of real business decisions, not textbook problems
- Understand why statistical thinking is the foundation of every ML model: before you train anything, you need to know what your data is actually saying
- Build dashboards and charts that communicate clearly — chart selection, Tableau basics, and the visual design principles that separate good analysis from great analysis
- Know which chart to use for which question — and why the wrong visual can hide the truth even when the numbers are right
Insight Communication & Business Analysis
- Learn to translate data findings into decisions - framing an insight, writing a clear one-page summary, and structuring analysis that non-technical stakeholders actually act on
- Understand business analysis fundamentals: stakeholder mapping, requirements gathering, and writing KPIs that measure what actually matters to the business
- Develop the communication layer that most technical programs skip - because the best analysis is worthless if it cannot be understood by the person who needs to act on it
- Build the bridge between data work and business outcomes - a skill that makes you valuable in any team, and essential before you move into AI/ML roles
Applied Analytics - Domain Capstone
- Apply everything you have learned to a real domain case - E-commerce, Fintech, or Marketing - with a single end-to-end deliverable
- Pull and clean data with SQL and Python, analyse it with statistics, visualise it clearly, and present a structured insight to a business audience
- Build one portfolio piece that demonstrates you can go from raw data to a decision-ready output - the proof you are ready for the AI/ML programs above
- Graduate with the data literacy, tooling fluency, and communication skills that every AI/ML program in this series assumes you already have
Please Note :- "Due to the evolving nature of the industry expectations and partner institute feedback, some syllabus aspects may change. Any updates will be communicated during the Inauguration Session(s) or at the start of the relevant module"
Admission Process
Submit Application
Complete application form to showcase your motivation and goal
Complete Selection and Enrolment Session
Only shortlisted users can go through this session
Start Learning
Learn from India's top educators and stand out from the crowd
Submit Application
Complete application form to showcase your motivation and goal
Complete Selection and Enrolment Session
Only shortlisted users can go through this session
Start Learning
Learn from India's top educators and stand out from the crowd
Fee structure
Application Fee
Non-refundable.
Registration Fee
₹4,000
Program Fee
₹11,000
Total Fee
₹15,000
+Gst
Upfront Payment
Pay once, save more.
₹13,700
*Inclusive of GST,
All payments are non-refundable. This policy ensures the sustained quality and provision of our services
About Vishlesan i-Hub IIT Patna
Vishlesan i-Hub at IIT Patna is part of a national mission, advancing AI in speech, video, and text analytics for sectors like health, education, and security.
Premier Technical Institute
IIT Patna is one of India's top engineering institutes, known for its cutting-edge research and strong academic foundation.
Strong Industry & Research Ecosystem
With active collaborations, incubators, and innovation hubs, IIT Patna bridges academia and industry to drive real-world impact
How will Masai Help you?
How will Masai Help you?
Placement Opportunities
Get guaranteed interviews and personalized career support, including resume preparation and mock interviews. Eligibility: 7+ CGPA and 65% attendance in the program
Real-Time Learning Ecosystem
Experience a constantly evolving curriculum with live classes and instant academic assistance, designed to keep pace with industry advancements.
Industry Integration and Projects
Participate in hands-on industry projects guided by distinguished instructors from IIT and top experts, ensuring practical and relevant skills development.
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