Data Science For Mechanical Engineering
Data Science For Mechanical Engineering
Data is at the centre of data science.In all industries, it has become a need. At Theta Academy, Experts from manufacturing industry and IT have create this “Data Science for Mechanical Engineering” course to give students first hand exposure to what is happening in the industry.
Upcoming Industry 5.0 revolution is vanishing 80% jobs due to high Automation.In manufacturing industry there are 72% tasks that can be fully automated by Data science.So companies are investing in this technology. For secure job and successful career it is essential to learn Data Science for mechanical perspective.Explore more about projects and course from below.
Key Highlights
- Course is only specific to Mechanical Engineering Students.
- Projects of course already employed in RND Departments of Mechanical Industry .
- Placement Assistance will be provided .
- AI is rapidly creating Human-less industry, including mechanical. Offering this course helps students, to adapt to the changing job landscape.
- Use Linear Algebra,Differentiation,Stats studied in Engineering for real life projects .
- No prior Knowledge of coding or Applied Maths required .
- We offers a flexible schedule, enabling students to adapt their study hours.
- Our Learning Management System offers AI-assisted problem-solving and simulates technical interviews.
Tools We Covered











Why To Choose Theta Academy?
Who Is This Program For?
This Program is for those guys who are currently pursuing BTECH/Diploma in Mechanical Engineering Or those who are currently working professionals in the Industry.
Job Opportunities post AI & Machine Learning Course
Mechanical engineering students who complete an Artificial Intelligence course can pursue careers as AI engineers, robotic software developer,automation engineer,data scientist or can build its own product.
Who Is This Program For?
This Program is for those guys who are currently pursuing BTECH/Diploma in Mechanical Engineering Or those who are currently working professionals in the Industry.
Job Opportunities post AI & Machine Learning Course
Mechanical engineering students who complete an Artificial Intelligence course can pursue careers as AI engineers, robotic software developer,automation engineer,data scientist or can build its own product.
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Our Industrial Projects

Gas leakage detection system at Bharat Gas Sagar District Plant
In this project our developers have use advance Image processing tools to detect even small bubbles in water due to the gas leakage from the cylinder.

Robot Shortest path planning prototype project for Amazon new storerooms at Chandigarh
The project is lead by our Data Science expert Mr. Maninderpal Singh. Currently this project is done purely on python frameworks. Later on we will blend ROS framework to implement it practically at store rooms.

Air Circuit Breaker(ACB) trip recording to the cloud and Warning system at Sawaraj-Mahindra plant at Mohalli
This project uses an Arm based microprocessor to get the trip signal from the 12 ACB's and storing it to the local cloud of plant.I also shows speaker warning after tripping.
Curriculum Designed by Experts
Python Programming
Topics
- Data types
- Conditions and loops
- File and Exception Handling
- Object Oriented Programming
- Chat GPT with Python
- Advanced Python
- Database Management System
- CRUD Operations
- Joins
- Advance SQL
Applied Mathematics and Statistics
Topics
- Probability Distribution Functions
- Hypothesis Testing and Methods
- Linear Algebra Concepts
- Types of Distributions
Mechanical Concepts and Machine Learning
Topics
- Feature Engineering
- Predictive Analysis of Mechanical Properties(ex:Bulk’s Modulus)
- Machine Learning
- Deep Learning
- Tesla Working and Practical Project
Automation In Manufacturing and Designing
Topics
- Automatic Safety Analysis at Manufacturing Industry
- Robotics and Automation
- Predictive Maintenance
R Programming
Topics
- Introduction
- Data types/Factors/Conditioning/Loops
- Data Visualization by R Language
- Advance R
- Turbullence Modelling of Aircrafts using R