Course level:Expert
Certification Course in Python for Electrical & Mechanical Applications
The “Certification Course in Python for Electrical & Mechanical Applications” is designed to empower engineers with Python programming skills tailored for real-world applications in electrical and mechanical systems. Covering fundamentals to advanced concepts, this program focuses on engineering-specific use cases, equipping participants to develop algorithms, perform data modeling, and create engineering tools using Python.
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At a glance
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₹1,500.00
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LevelExpert
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Enrollment validityEnrollment validity: Lifetime
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CertificateCertificate of completion
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Course Curriculum
Welcome to the course!
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Module 1: Introduction to Python and Data Analytics
This module introduces participants to Python and its widespread popularity in engineering and data analytics. Topics include the fundamentals of data analysis, the role and responsibilities of data analysts, and why Python is ideal for handling data. Application areas of data analytics, along with software and prerequisites for Python in engineering applications, are also covered.
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Topic 1: Understanding Python and Its Popularity
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Topic 2: Introduction to Data Analysis
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Topic 3: Why Python is Ideal for Data Analysis
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Topic 4: Role of Data Analysts & Their Tasks
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Topic 5: Application Areas of Data Analytics
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Topic 6: Pre-requisites and Software Requirements for Python in Data Analysis
Module 2: Basics of Python
In this module, participants will build a solid foundation in Python programming, starting with the basics. This module covers Python syntax, writing functions, and customizing code. Students will learn control flow techniques, including loops and conditional statements, to test and validate their Python programs effectively.
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Topic 1: Introduction to Python Programming – The Basics
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Topic 2: Building a Strong Foundation in Python
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Topic 3: Customizing Python Code and Writing Functions
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Topic 4: Testing and Validating Python Code
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Topic 5: Control Flow in Python – Loops and Conditional Statements
Module 3: Python Intermediate
This module dives deeper into Python, exploring intermediate-level concepts such as string manipulation, file handling, lists, dictionaries, and tuples. These topics are introduced through practical scenarios relevant to engineering contexts, ensuring participants can apply their learning effectively.
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Topic 1: Strings – The Basics of Python Intermediate
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Topic 2: Files – Diving into Real-World Scenarios
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Topic 3: Lists – The Smarter Strings
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Topic 4: Dictionaries and Tuples in Python
Module 4: Python based engineering applications
The participants will apply Python programming to engineering problems, focusing on a project to build an Electric Vehicle Parameter Calculator System. This module involves data modeling, algorithm development, implementation, testing, and refining. Participants code the calculator in Python, evaluate its accuracy and usability, and make improvements to optimize its functionality.
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Topic 1: Project Work – Building Electric Vehicle Parameter Calculator System with Python
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Topic 2: Data Modeling & Algorithm Development – Performing EV formula mapping
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Topic 3: Implementation and Testing – Coding the Calculator in Python
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Topic 4: Evaluation and Refinement – Testing Accuracy & Usability and Making Improvements
DIY Projects:
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Project:Developing engineering model algorithm for engineering applications
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Hardware & Software Required
Hardware:
- High-performance PC (Intel i7 or higher)
- 16GB RAM
Software:
- Python 3.x
- Jupyter Notebook
- VS Code or PyCharm (optional)
- Relevant Python libraries (NumPy, pandas, matplotlib, SciPy)
Associated Skills
Automation in Engineering
Computational Solutions
Data Analysis
Data Visualization
Electric Vehicle Tools
Electrical Systems
Engineering Algorithms
EV Parameter Calculator
MATLAB Alternative
Mechanical Systems
Python for Engineers
Python Libraries
Python Programming
R&D Engineering Applications
Simulation and Modeling
DIY Projects Included
Developing engineering model algorithm for engineering applications
Course Benefits
For Professionals:
- Gain expertise in Python programming tailored for engineering.
- Learn practical skills for solving industry-specific challenges.
- Expand career opportunities in computational and software engineering.
- Hands-on experience with real-world projects and tools.
- Stay updated with in-demand Python applications for engineers.
For Freshers:
- Build a strong foundation in Python programming.
- Hands-on exposure to engineering applications of Python.
- Develop real-world projects for a strong portfolio.
- Enhance employability in electrical and mechanical engineering domains.
- Enter a growing job market with practical Python skills.
Technical expertise you will gain
- Write efficient Python programs for electrical and mechanical applications.
- Develop engineering-specific algorithms and models.
- Analyze and visualize engineering data using Python libraries.
- Build and optimize tools like the Electric Vehicle Parameter Calculator.
- Apply Python to solve real-world engineering problems.
- Automate repetitive tasks in engineering workflows.
- Design, implement, and test Python-based engineering solutions.
Key Job Areas
Job Roles
Skill Sets
Companies Hiring
Key Job Areas
- Engineering Software Development.
- Data analysis & Visualization for electrical and mechanical systems.
- Algorithm Development for Engineering Tools.
- Simulation & Modeling of Mechanical Systems.
- Application Development for Electric Vehicle Calculations.
- Python-Based Automation in Engineering Workflows.
- Computational Solutions for System Optimization.
- Research & Development in Engineering Applications.
- Integration of Data-driven Insights into Engineering Designs.
- Custom Engineering Tool Creation for Industry Needs.
Job Roles
- Engineering Software Developer
- Data Analyst for Engineering Applications
- Algorithm Developer for Mechanical Systems
- Python Programmer for Electrical Systems
- Simulation and Modeling Engineer
- EV Tool Development Specialist
- Automation Engineer
- Computational Research Scientist
- Engineering Data Scientist
- R&D Engineer
Skill Sets
- Proficiency in Python Programming.
- Strong understanding of Data Modeling & Analysis.
- Ability to build engineering-specific Algorithms.
- Expertise in Python libraries like NumPy, pandas, and SciPy.
- Skill in data visualization using Matplotlib & similar tools.
- Problem-solving skills for engineering applications.
- Experience in building functional prototypes and tools.
- Debugging & optimizing Python code.
- Logical implementation of engineering concepts into code.
- Competence in handling real-world engineering datasets.
Companies Hiring
- Tata Motors
- Ola Electric
- Bosch India
- Hero Electric
- Ashok Leyland
- TVS Motor Company
- Hyundai Motor India
- Siemens
- L&T Technology Services
- Ather Energy
- Mahindra Electric
- Wipro Engineering Services
- Continental Automotive
- Exicom Power Solutions
- KPIT Technologies
Who can take this course?
This course is suitable for those who have
- Basic understanding of mathematics and physics.
- Familiarity with electrical and mechanical engineering concepts.
- Willingness to learn programming concepts from scratch.
- Logical problem-solving abilities and an analytical mindset.
Personalized Trainer Support Portal:
- 24/7 Access to a personalized trainer support portal.
- One-on-One Mentorship for queries and project guidance.
- Access to diverse resources, including recorded lectures, reading materials, and practical guides.
- Dedicated forums for content discussion, insights, and project collaboration.
- Regular Feedback from trainers for comprehensive understanding and improvement.
Share Course
Page Link
Share on social media
At a glance
- Coming Soon! Stay Tuned!
₹1,500.00
-
LevelExpert
-
Enrollment validityEnrollment validity: Lifetime
-
CertificateCertificate of completion
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