Automotive Manufacturing Data Analyst

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#Program

About Program

QP Name: Automotive Manufacturing Data Analyst
QP Code: ASC/Q6416
QP Version: 1.0
NSQF Level: 6
Model Curriculum Version: 1.0

An Automotive Manufacturing Data Analyst collects, analyzes, and interprets data to optimize production processes, improve efficiency, and reduce costs in the automotive industry. They work with large datasets from manufacturing operations, quality control, and supply chains to identify trends, detect inefficiencies, and support decision-making. Using tools like SQL, Python, and Power BI, they develop reports, dashboards, and predictive models to enhance production performance and ensure quality standards are met.

#Bookdetails

Module

Module 1

Introduction to the role of an Automotive Manufacturing Data Analyst

Module 2

Introduction to the role of an Automotive Manufacturing Data Analyst

Module 3

Data Extraction and Collection from Industrial Robots, Automation systems, Machines & Other Manufacturing systems

Module 4

Data preparation and acquisition for analysis

Module 5

Dashboarding of the Analysed Manufacturing Data

Module 6

 Introduction to Employability Skills

Module 7

Constitutional values – Citizenship

Module 8

Becoming a Professional in the 21st Century

Module 9

Basic English Skills

Module 10

Career Development & Goal Setting

Module 11

Communication Skills

Module 12

Diversity & Inclusion

Module 13

Financial and Legal Literacy

Module 14

Essential Digital Skills

Module 15

Entrepreneurship

Module 16

Customer Service

Module 17

Getting ready for apprenticeship & Jobs

#Overview

Program Overview

Training Outcomes
At the end of the program, the learner should have acquired the listed knowledge and skills.
• Perform steps for data extraction and collection from industrial robots, automation systems,
machines & other manufacturing systems.
• Perform steps for data preparation and acquisition for analysis.
• Perform steps for dashboarding of the analysed manufacturing data.
• Implement safety practices.
• Use resources optimally to ensure less wastage and maximum conservation.
• Communicate effectively and develop interpersonal skills.

Compulsory Modules
The table lists the modules and their duration corresponding to the Compulsory NOS of the QP.

NOS and Module Details Theory DurationPractical Duration On-the-Job Training
Duration (Mandatory)
On-the-Job Training Duration (Recommended)Total Duration
Bridge Module
Module 1: Introduction to the role of an Automotive
Manufacturing Data Analyst
5:000:005:00
ASC/N9810: Manage work
and resources
(Manufacturing)
NOS Version No. – 1.0
NSQF Level – 5
20:0035:0055:00
Module 2: Manage work and
resources according to safety
and conservation standards
20:0035:0055:00
ASC/N6438 – Data
Extraction and Collection
from Industrial Robots,
Automation systems,
Machines & Other
Manufacturing systems
NOS Version No. –1.0
NSQF Level - 6
20:0070:0090:00180:00
Module 3: Data Extraction
and Collection from Industrial
Robots, Automation systems,
Machines & Other
Manufacturing systems
20:0070:0090:00180:00
ASC/N6439 – Data
preparation and acquisition
for analysis
NOS Version No. –1.0
NSQF Level - 6
15:0060:0075:00150:00
Module 4: Data preparation
and acquisition for analysis
15:0060:0075:00150:00
ASC/N6440 – Dashboarding
of the Analysed
Manufacturing Data
NOS Version No. –1.0
NSQF Level – 6
15:0060:0075:00150:00
Module 5: Dashboarding of
the Analysed Manufacturing
Data
15:0060:0075:00150:00
Employability Skills (90
hours)
NOS Version No. – 1.0
NSQF Level – 6
36:0054:0090:00
Module 6: Introduction to
Employability Skills
1:002:003:00
Module 7: Constitutional
values - Citizenship
0.5:00 1:001:5:00
Module 8: Becoming a
Professional in the 21st
Century
2:00 3:005:00
Module 9: Basic English Skills4:006:0010:00
Module 10: Career
Development & Goal Setting
1.5:00 2.5:004:00
Module 11: Communication
Skills
4:006:0010:00
Module 12: Diversity &
Inclusion
1:001.5:002.5:00
Module 13: Financial and
Legal Literacy
4:006:0010:00
Module 14: Essential Digital
Skills
8:0012:0020:00
Module 15: Entrepreneurship 3:004:007:00
Module 16: Customer Service4:005:009:00
Module 17: Getting ready for
apprenticeship & Jobs
3:005:008:00
Total Duration 106:00284:00240:00630:00

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#TrainerInfo

India's Leading Trainers.

Mehek Gunjan

IIT Delhi

Kailash Biswa

IIT Kanpur

Debika Roy

Harvard University

Praful Modak

IIT Bombay

Course Ingredients

Skill Development
Time Management
Work Management
Real Life Example
Career Support

Automotive Manufacturing Data Analyst

Automotive Manufacturing Data Analyst

Automotive Manufacturing Data Analyst

Automotive Manufacturing Data Analyst

Automotive Manufacturing Data Analyst

Automotive Manufacturing Data Analyst

Automotive Manufacturing Data Analyst

Automotive Manufacturing Data Analyst

Automotive Manufacturing Data Analyst

Automotive Manufacturing Data Analyst

Automotive Manufacturing Data Analyst

Automotive Manufacturing Data Analyst

Predictive Maintenance Data Acquisition Engineer

Industrial Robotic System Planning

Product Reverse Engineering

Industrial Robotic system Integration

Computer Aided Product Design