Data Science and ML with GenAI Advanced Program

Fees: ₹ 99,000 + 18% GST 23 weeks
Placement opportunities Mentor-led online and offline classes
Upcoming Batch:
scheduled 17-Mar-25 23 Weeks (Mon, Tue, Thu, Fri) 09:00 AM to 11:00 AM
scheduled 17-Mar-25 23 Weeks (Mon, Tue, Thu, Fri) 02:00 PM to 04:00 PMoffline at Bengaluru
scheduled 08-Apr-25 23 Weeks (Mon, Tue, Thu, Fri) 08:30 PM to 10:30 PM
scheduled 20-May-25 23 Weeks (Mon, Tue, Thu, Fri) 11:00 AM to 01:00 PM

The NIIT advantage

Turning ambitions into achievements
  • Expert-led learning – gain insights from academicians and industry leaders
  • Global recognition – NIIT certifications ensure job readiness from day one
  • Project incubation – elevate projects through individual or group presentations
  • Industry-aligned training – learn through real-world applications
Built in placement assistance
  • ₹ 9 LakhsKickstart your career with salaries up to*
  • 100%Eligible learners placed*
https://elevate.niit.com/india/wp-content/uploads/2024/11/Frame-4-1.png
  • Data analysis - extract insights from data
  • Data visualization - present data visually
  • Statistical modeling - interpret data using math
  • Predictive analytics - forecast trends from data
  • Machine learning models - build predictive algorithms
  • Generative AI - create new data with AI

What you’ll learn

  • Data analytics using Excel
  • Analytics using SQL
  • Programming with Python
  • Python for data science
  • Exploratory data analysis - patterns and insights
  • Information security systems
  • Exploratory data analysis using Tableau
  • Storytelling using Tableau
  • Statistics using Python
  • Predictive modelling using machine learning
  • Data ethics and governance
  • Capstone project

Our hiring partners

HCLAccentureInfosysTCSOracle63 MoonsFinoculusHexawareHDFCSentienzHays

Am I eligible to apply?

Unlock exciting career opportunities!
  • If you have a minimum of 50% in class X, XII, and graduation, you're eligible to apply.
  • Undergraduates must maintain at least 50% marks until the final year and achieve a minimum 50% aggregate upon graduation.
  • Open to BE/B.Tech, BCA, B.Sc. (Physics, Chemistry, Maths, Stats, CS, IT), BBA, B.Com. with Maths, B.A. Eco with Maths, MCA, M.Sc IT, and MBA graduates.
  • Explore how profiler unlocks your path to placement assistance—check our FAQs!

Enroll in just a few easy steps!

  • Fill application

  • Get Screened

  • Pay fees

1. Application
    +91 Get OTP

    Frequently asked questions

    We are here to make your admission journey smooth and simple. Below are the key steps and criteria to ensure you are set up for success:

    • English Proficiency: CEFR mid-A2 or above, with the ability to understand, interpret, and respond effectively in conversations.
    • Aptitude Skills (Self-Declaration): Logical reasoning, rational thinking, problem-solving, and basic Class X Mathematics to assess analytical abilities.
    • IT Proficiency (Self-Declaration): Familiarity with Microsoft Office, email, and web navigation.

    Once you ensure eligibility criteria, we will guide and support you every step of the way as you embark on this meaningful and rewarding learning journey.

    Refer T&C for more details.

    This program is designed to build the core competencies i.e., the knowledge and skills required to perform the tasks required for the Data Analyst job role at the entry-level. As part of the learning journey, learners build the right attitude that sets them up for seamlessly transitioning to this role, as well as making them aware of some of the best practices that professionals are expected to adopt. The tough challenges that they encounter as part of the program and the capstone project help accelerate their experience. As part of our holistic approach to making them job-ready, we ensure that learners are equipped, not just with technical competencies, but also the complementary engineering & behavioral competencies.

    • Data Analytics Using Excel
    • Analytics using SQL
    • Introduction to Programming using Python
    • Python for Data Science
    • Exploratory Data Analysis
    • Exploratory Data Analysis using Tableau
    • Story Telling using Tableau
    • Statistics using Python
    • Predictive Modelling using Machine Learning
    • Capstone project

    You will be equipped with the deeper skills and competencies to embark on the Data Analyst job role at the entry-level. You will also be eligible for the career preparation and services pertaining to the entry-level Data Analyst job role*. 

    *The roles may vary from organization to organization. NIIT has no binding on the nomenclature of the roles mentioned.

    • The program comprises of multiple courses. Each course comprises of multiple sprints. A sprint is the smallest unit of delivery which consists of 2hours Synchronous Session (Live mentor led session) where concepts are covered, followed by 2hours of Asynchronous session (self-paced as per learner convenience), where the learner has to complete the assignments related to the sprint and submit the same to the mentor for evaluation.
    • It is very important for the learner to complete the assignments on a daily basis and ensure there are no backlogs.

    • While the duration of the program is fixed, the calendar duration of the program depends on the batch schedule and pace of the batch.
    • The pace of the batch is defined as number of sprints covered in a week.
    • E.g., if the batch schedule is defined as Mon, Tue, Thu, Fri 7:30pm to 9:30pm; there are 4 sprints covered in a week. Each sprint includes, Synchronous session of 2hrs which will be held on Mon, Tue, Thu, Fri from 7:30pm to 9:30pm. Post the synchronous session, the learner has to devote min 2hours to complete the assignments and submit before the next sprint session.
    • The program duration will be approximately 23 weeks @ 4 sprints per week for 4 days of the week
    • The program duration may be extended subject to holidays and any other disruptions beyond NIIT’s control

    • If the applicant is below 21 years of age then they need to apply for the loan along with a co-applicant that is at least 21 years of age
    • Minimum documentation to apply for a loan are --> 
    • PAN Card, 
    • Aadhar Card (Front + Back), 
    • 6 months’ income showing Bank statement, 
    • Recent 3 months’ salary slips for working professional and Business registration proof/Recent ITR for self-employed individuals or businessman
    • In absence of complete or required documentation, the loan application may be rejected by the loan partner. The loan application acceptance and rejection are at the sole discretion of the attached lenders.
    • Additional documents may be requested and are subject to the applicant\'s profile and eligibility fitment
    • In case you are unable to provide the documents listed above, please reach out to your Program Advisor to discuss other possible alternatives

    You can read the complete set of Terms and Conditions for this program at https://www.niit.com/india/terms-and-conditions.

    This program focusses not only on the technical development of the learner, but also on the professional skills which helps to improve the employability quotient of the learner. We offer tailored placement services to help learners succeed in their career journeys. This structured approach ensures learners are well-equipped to meet industry demands and secure promising career opportunities. Below are the categories and their eligibility criteria:

    A. Placement Assistance: Provides up to 3 selection opportunities within 120 days of entering the Placement Bank, along with Career Guidance, Client Briefings, Mock Interviews, and Post-Screening Feedback. The below are requirement for the learners to avail the same.

    • Age: Below 28 years
    • Status of Program Profiler: Cleared (at the time of admission, if applicable)
    • Graduation: Completed (stream and percentage of marks as per program eligibility, if applicable)
    • Program Performance: 70% or higher
    • Placement Preparation Module Performance: Green
    • Refer to T&C for more details

    B. Career Guidance: Offers scheduled sessions during the program, including Guidance on building Digital Portfolios, LinkedIn and Git Profiles, Industry and Alumni Connect Sessions, and Interview FAQs. The below are requirement for the learners to avail the same.

    • Age: No restrictions, open for all enrolled learners
    • Status of Program Profiler: Cleared (at the time of admission, if applicable)
    • Graduation: Completed (stream and percentage of marks as per program eligibility, if applicable), undergraduates can also avail this service
    • Program Performance: Not applicable
    • Refer to T&C for more details

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