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Introduction to Data Analysis Concepts and Techniques

NQR Code:NM-3.5-IT-03828-2025-V1-NIELIT

  • Old Code: NM-3.5-IT-03828-2025-V1-NIELIT

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About this Qualification

Job Description

The course “Introduction to Data Analysis Concepts and Techniques” provides a comprehensive introduction to essential methods used in data science. Participants will learn to perform Exploratory Data Analysis (EDA) and create effective visualizations using Matplotlib and Seaborn. The course also covers statistical analysis, time series analysis, and the application of probability concepts in data science. In addition, learners will be introduced to Natural Language Processing (NLP) techniques for sentiment analysis and text classification. Through practical sessions, the course equips participants with the skills to analyze, interpret, and derive meaningful insights from diverse datasets.

Eligibility Criteria

Criteria 1 Criteria 2 Experience Training Qualification
10th Pursuing Continuous Schooling No Experience None
8th Passed No Experience 2 year NTC
8th None 3 years None
Previous NSQF qualification of Level 3 1.5 Years None

Progression Pathway

  • Not Applicable

Learning Module In Job Role/Qualifcation

National Occupation Standards (NOS)/Module NOS Code Mandatory/ Optional Estimated size (Hours) Nos Credit Level
Introduction to Data Analysis Concepts and Techniques NIoEaIT(/MCr-0015 Mandatory 30 1 3.5