Subject NQT - Machine Learning

Assess your ability to design, implement and maintain Machine Learning (ML) solutions

Get ready for highly rewarding careers in Machine Learning

NA

(Price inclusive of GST)
Application Guidelines

NQT (Cognitive Skills) is a mandatory test to register for Attitudinal Alignment (Psychometric Test), Industry NQTs and Subject NQTs.

take a sample test

For more details, please refer to the FAQs.

Test Date

30th August, 2021 onwards

(For August Exam)

Application Closing Date

15th August, 2021

(For August Exam)

Next Exam Cycle

November 2021

(Applications are Open)

Test Date

30th August, 2021 onwards

(For August Exam)

Application Closing Date

15th August, 2021

(For August Exam)

Next Exam Cycle

November 2021

(Applications are Open)

About

Subject NQT - Machine Learning

Prepare for high demand jobs across industries with Subject NQT Score in Machine Learning

    Who can Apply

  • Candidates in their final year of graduation or graduates in computer science, data science, mathematics, or a relevant field
  • Candidates possessing substantial knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture
  • Candidates with prior knowledge of Programming languages like Java, R, Python, and C++

    Job Prospects

  • There is high demand for ML skills in various industries like Healthcare, Education, Retail, Manufacturing, Supply chain and Logistics, BFSI, Governance, Education
  • The field of Machine Learning is expected to create 2.3 million new jobs by the end of financial year 2022
  • According to a report, out of 10 lakh registered firms in India, 75% have already invested or are ready to invest in Machine Learning
  • For a fresher, Machine Learning jobs can fetch up to ₹ 3 - 4.5 LPA. As you gain over 5-8 years of experience, your salary will be anywhere around ₹ 6 - 10 LPA.

    About the Test

  • Conducted online (at home) and physical In-Centre at TCS iON Authorised Exam Centres
  • All NQT variants are valid for two years
  • Candidates with NQT Score can apply for an entry-level role in any corporate
  • Candidates with NQT Score can apply for jobs on the TCS iON Job Listing Portal
  • NQT (Cognitive Skills) Score is a prerequisite for any Subject NQT

Test Coverage

  • Basics of Statistics - Basic concepts of Statistics
  • Basics of Machine Learning - Focusses on the terminologies of Machine Learning and Algorithms
  • Machine Learning Methodology (CRISP DM) - Covers all methodologies of Machine Learning
  • Key concepts of Machine Learning - Covers all the concepts of Machine Learning
  • Machine Learning Algorithms with real-life use cases - Covers all the real-life use
  • Exploratory Data Analysis - Exploratory data analysis (EDA) is an approach to analysing data sets to summarise their main characteristics, often with visual methods

Total Marks 100 | Duration 120 Mins

Advantages of Subject NQT - Machine Learning

  • Unlimited Attempts - Opportunity to improve your score with additional attempts
  • Apart from job satisfaction and security, Machine Learning career path will fetch hefty compensation and fast career growth
  • Enables candidates to stand out among their colleagues and demonstrate their Machine Learning abilities

Key Features

A structured test designed by subject matter experts and aligned with industry expectations

Standardised benchmark test that validates role-specific core skills in Machine Learning

Access to top corporates looking for talent on the TCS iON Job Listing Portal

Flexibility to appear for the test either In-Centre or Online

Related Products

Have a Question?

If you want to know more about our products, pricing or anything else

FAQs

1. What is Subject NQT? +
  • Subject NQT assesses knowledge and skills in specific subjects pertaining to job roles in the following areas:
    • Basics of Statistics
    • Basics of Machine Learning
    • Machine Learning Methodology (CRISP DM)
    • Key concepts of Machine Learning
    • Machine Learning Algorithms with real-life use cases
    • Exploratory Data Analysis
  • Each candidate who completes the Subject NQT gets a Subject NQT Score for that particular subject. For example, Subject NQT - IT Programming. Subject NQTs are planned to be conducted every quarter. The candidates can take the tests again to improve their previous scores, if desired.
  • There are Subject NQTs for multiple subjects. The candidates wanting to showcase their expertise in multiple subjects across industries can appear for as many Subject NQTs as desired.
  • Note:
    • NQT (Cognitive Skills) Score is a prerequisite to appear for Subject NQT - Machine Learning.