Courses / Data & Intelligence

Industrial Data Science

Build data-driven thinking for modern industrial environments.

30 Hours
Duration
1 Credit
Academic credit
6 Modules
Structured learning
₹5,000
One-time fee
View Curriculum
Industrial Data Science
01 — Overview

Build understanding you can apply.

A practical introduction to data-driven thinking and analytics for industrial decision-making and intelligent operations. You will learn how industrial data is generated, prepared, explored and turned into decisions that improve quality, uptime and efficiency.

What you will learn

  • Understand how data is generated in industrial environments.
  • Prepare and clean real-world industrial datasets.
  • Explore data visually to spot patterns, trends and outliers.
  • Use KPIs and quality tools to support operational decisions.
  • Understand the basics of predictive maintenance and forecasting.

Who is this for?

  • Engineering, science and management students
  • Operations, quality and maintenance professionals
  • Anyone moving toward analytics roles in industry
Prerequisites: No programming required. Comfort with basic maths and spreadsheets is helpful.
02 — Why this course

Why take Industrial Data Science?

Industry Context

Examples come from manufacturing and process environments, not toy datasets.

Analytics Thinking

Learn to ask the right question before touching the data.

Decision Support

Turn charts and KPIs into actions operations teams can take.

Career Foundation

A starting point for analytics, quality and Industry 4.0 roles.

03 — Curriculum

6 modules, one clear path.

Open each module to see the topics covered.

01
Module 01 · 5 hrs
Industrial Data Foundations
+
  • What industrial data is and where it comes from.
  • Sensors, PLC/SCADA and MES data sources.
  • From data to decisions: the analytics lifecycle.
02
Module 02 · 5 hrs
Data Collection & Preparation
+
  • Sampling and data quality basics.
  • Cleaning missing, noisy and inconsistent data.
  • Preparing data for analysis.
03
Module 03 · 5 hrs
Exploratory Analysis
+
  • Descriptive statistics for process data.
  • Visualising time-series and distributions.
  • Spotting patterns and outliers.
04
Module 04 · 5 hrs
Industrial Analytics
+
  • KPIs such as OEE, yield and downtime.
  • Quality control charts.
  • Root-cause analysis with data.
05
Module 05 · 5 hrs
Predictive Thinking
+
  • Trends and forecasting concepts.
  • The idea behind predictive maintenance.
  • Judging how good a prediction is.
06
Module 06 · 5 hrs
Applications & Case Studies
+
  • Manufacturing analytics case study.
  • Quality and process improvement cases.
  • Presenting findings to decision-makers.
04 — Skills & tools

Skills you gain

Data literacyKPIs & OEETime-series basicsControl chartsPredictive maintenanceDecision support

Assessment & activities

  • Concept checks after each module
  • Hands-on data exercises
  • Final assessment
05 — Outcomes

Career & industry pathways

1
Manufacturing Data Analyst
2
Quality Analyst
3
Process Improvement Associate
4
Operations Analyst
5
Industry 4.0 Trainee
06 — Your journey

From enquiry to certificate.

01
Enquire

Submit an enquiry and our team contacts you.

02
Enrol

Complete enrolment and payment with the team.

03
Learn

Watch course videos in your student dashboard.

04
Assess

Take quizzes and the final assessment.

05
Certify

Receive a verifiable certificate.

Certification

Finish with something you can show.

Meet the completion criteria to receive a certificate with your name, course, completion date, certificate ID and QR verification.

Student NameCourse NameCompletion DateCertificate IDQR VerificationCredit Status
07 — FAQ

Questions, answered.

Do I need to code?+

No. The programme builds data thinking and interpretation skills first.

What kind of datasets are used?+

Industrial-style datasets such as process, quality and equipment data.

How do I enrol?+

Submit the enquiry form. Our team will contact you to guide enrolment and payment. Fee: ₹5,000.

How do I access the course?+

After enrolment, you access private course videos and materials through your authenticated student dashboard.

Will I receive a certificate?+

Yes. Learners who meet the completion requirements receive a verifiable certificate with a QR code.

Is this credit-bearing?+

Eligible 30-hour programmes carry 1 academic credit.

Explore more programmes

International Management & Technology Leadership
View course ↗
E-Mobility & Electric Vehicle Applications
View course ↗
Green Hydrogen & Sustainable Technologies
View course ↗

Ready to start Industrial Data Science?

Submit an enquiry and our team will guide you through enrolment.

Enquire to enrol

Industrial Data Science

Fee: ₹5,000. Our team will contact you shortly.