Detailed Course curriculum
Lesson by lesson
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Welcome to the Course
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Day 1:Onboarding python
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How to use Discussions option
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Course access duration
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Piracy & infringement warning
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1_Introduction
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2_What is Python ?
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3_Is Python really needed ?
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4_Installation
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5_Jupyter Notebook
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6_Your First Code
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7_Lab: Your First Code
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8_Data types
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9_Lab: Data types
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10_Operations
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11_Lab: Operations
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12_Type Conversion
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13_ Lab: Type Conversion
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14_Input statement
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15_Lab: Input statement
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16_IF
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17_else
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18_Lab: If else
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19_While
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20_ break and continue
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21_Lab: While, break and continue
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22_Functions
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23_Lab: Function
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24_for loop
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25_Lab: for loop
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26_Practice
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Week 1 feedback
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1_List
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2_Lab: List
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3_Slicing
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4_Lab: Slicing
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5_Dictionaries
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6_Lab: Dictionaries
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7_Tuples
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8_Lab: Tuples
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9_Exceptions
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10_Module, Package & Library
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11_Lab: Numpy Part: 1
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12_Lab: Numpy Part: 2
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13_Lab: Numpy Part: 3
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14_Lab: Numpy Part: 4
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Dataset for Pandas
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15_Lab: Pandas Part: 1
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16_Lab: Pandas Part: 2
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17_Lab: Matplotlib
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18_pip
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Week 2 feedback
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1_Introduction to Mini Project - 1
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2_Mini Project - 1 (Part - 1)
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3_Mini Project - 1 (Part - 2)
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4_Mini Project - 1 (Part - 3)
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5_Mini Project - 1 (Part - 4)
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6_Mini Project - 1 (Part - 5)
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7_Mini Project - 1 (Part - 6)
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8_Mini Project - 1 (Part - 7)
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9_Mini Project - 1 Final
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10_Introduction to Mini Project - 2
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11_Mini Project - 2
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12_Mini Project - 2 Final
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13_Introduction to Mini Project - 3
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14_Mini Project - 3
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15_Mini Project - 3 Final
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Week 3 feedback
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1_Introduction to Major Project
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2_Major Project Idea
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3_Major Project
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4_Major Project (Part - 1)
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5_Major Project (Part - 2)
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6_Major Project (Part - 3)
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7_Major Project (Part - 4)
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8_Major Project (Part - 5)
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9_Major Project Final
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Week 4 feedback
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Instructions to generate your certificate
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Leverage your certificate to get Internship or Job
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About this course
- 80 lessons
- 16.5 hours of video content
- Mentor guided projects
- 4.8 course rating & 3150+ learners
Software tools used
About the course
Python has found its extensive industrial applications in the areas of Electronics & Electrical engineering such as Signal processing, image processing, control system engineering, embedded systems (Micro Python), data visualization, automation, test equipment automation (HIL), IoT, power electronics, prediction of electrical motors or components maintenance with their behavior and the list is extensive.
Python is adopted in Industrial applications because of its simplicity, a huge collection of libraries such as Numpy, Matplotlib, scipy, and pandas and has a specialized numerical computational platform, it’s open-source & free, do not require legacy/expensive peripheral software. So, there will be a potential shift from C/C++ to python according to research in the upcoming years. As of now, Python is the fastest-growing language for embedded computing.
You don’t want to be left out when the industry moves to Python for embedded applications. And, learning python at an early stage of your academics/career can give you ample scope for building prospective projects. This course is built to ensure that anyone with no coding background can start to learn Python with a practical approach and build the projects individually (The Decibels way). By the end of the 4-week course, you will have the confidence & experience to kickstart additional projects & take up interviews confidently.
Note: Content is structured in a practical & organized approach with fundamentals. Any participant with no or minimal coding background can learn & build the projects.
Start with Python Fundamentals & motivation to master Python
Week 1
Practice with examples & gain confidence to start projects
Week 2
Design of Logic circuits “Must of embedded systems”
Week 3
Electricity billing application development “Full fledge project”
Week 4
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Python for Electronic & Electrical Engineers
₹2,999.00
Buy Now -
Reach us for any queries - 7411019255 / [email protected]
Participants posts on LinkedIn
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Sample Certificate
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Frequently Asked Questions
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Should I have any prerequisite knowledge to learn this course?
The course will be taught from fundamentals with real-world examples & hands-on sessions. It should not be a concern if you do not have prior exposure to programming/software used.
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Should I need a computer?
Yes, you will need a computer to practice.
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How the teaching will happen?
You will get full access to the course upon the completion of payment.
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What should I do, if I get a doubt?
You need to report the doubts/issues over the Discussion box available in the course. The course coordinator will clarify your doubts by replying via the discussion box. If needed, we will arrange meetings with the mentor, to clarify your doubts via Zoom.
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How many projects I will work on?
You will work on 2 projects.
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How will I build projects?
Projects will be guided by the mentor with the help of recorded lectures.
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How much time do I have to spend everyday?
We suggest 2 hours per day, an average of 10 hours per week.