Section Intro

Introduction

Section Summary

Reading Material

Introduction & Getting Started

Important Note: Review System

Quiz

What is A Moving Average Filter

Coding Moving Average Filter

Moving Average Filter Result

Implementing and Understanding the Moving Average Filter

Moving Average Filter

Different Types of Filters available and how they work

Exploring Filter Types for Sensor Data

Averaging Filter Coding

Coding an Averaging Filter for Data Smoothing

Averaging Filter

Running Average Filter Coding

Implementing a Running Average Filter

Running Average Filter

Low Pass Filter and EMA

Exploring Low Pass Filter and Exponential Moving Average (EMA)

High Pass Filter Coding

High Pass Filter in Action

Coding and Testing a High Pass Filter

High Pass Filter

Band Pass Filter Coding

BandPass Filter in Action

Implementing and Analyzing a Band Pass Filter

Band Pass Filter

BandStop Filter Coding

BandStop Filter in Action

Coding and Testing a Band Stop Filter

BandStop Filter

Sensor Data Filtering Techniques

Practice test

Who We Are?

Who we are?

Course Project

Bonus Lecture

Bonus Lecture: Gifts, Coupons, and More.

<h2 id="af445e4c-d955-470e-ae09-5cf3403dfe63" data-toc-id="af445e4c-d955-470e-ae09-5cf3403dfe63">Requirements</h2><ul><li>An Internet Connection</li><li>Basic knowledge in Programming</li></ul><h2 id="709445c7-1dcf-4445-bcb1-624ce1767955" data-toc-id="709445c7-1dcf-4445-bcb1-624ce1767955">Description</h2>Sensors and microcontrollers allow us to turn real-life phenomena into simple numerical signals that we can learn from. However, the raw output from the sensor may not be sufficient to extract desired information from. Real hardware is subject to interference and noise from the environment.Filtering is a simple technique that you can use to smooth out the signal, removing noise and making it easier to learn from the sensor output. This course introduces the concept of filters in different types and how to incorporate them into your design.Measurements from the real world often contain noise. Loosely speaking, noise is just the part of the signal you didn’t want. Maybe it comes from electrical noise: the random variations you see when calling analogRead on a sensor that should be stable. Noise also arises from real effects on the sensor. Vibration from the engine adds noise, etc.Filtering is a method to remove some of the unwanted signals to leave a smoother result.Why you should take this course?<ul><li>Since many sensors produce noisy data, this course will show you how to filter and clean the data so that it can be used for more accurate measurements.</li><li>You will learn practical ways on how to reduce sensor noise and can perform some of these filters using MATLAB.</li><li>Nowhere else will you find the information in this course because it is a comprehensive guide.</li><li>The videos not only teach you about filters but also give exercises that can be done to gain hands-on experience.</li><li>This course will give you the confidence to know that you can perform different types of filters which are already specified by MATLAB.</li><li>A wide variety of lessons are available such as signal preprocessing, filtering algorithms, and error models.</li></ul>You Will Learn:<ul><li>Why we need to clean noise data</li><li>What are Filters</li><li>How to implement Filters using Microcontrollers like Arduino</li><li>Moving Average Filter</li><li>Averaging filter</li><li>Running average filter</li><li>Exponential filter</li><li>Turning Filtering equations into actual code</li><li>Compare results before and after filtering</li></ul>You will learn as you practice with real-world examples in this course.User Testimonials and Social Proof"This course provided me with the practical skills to clean sensor data efficiently. Highly recommended!" - Sarah J."A comprehensive and easy-to-follow guide on using filters for sensor data. Excellent for beginners and professionals alike!" - Michael T.An Author Bio Showing Off CredentialsEducational Engineering TeamTeam of skilled Engineers Sharing Knowledge with the WorldEducational Engineering Team is a Leading Team in the Microcontroller Industry, with over 13 Years of Experience in Teaching and Doing Practical Projects.We strive to put all our hands-on experience in these courses. Instead of superficial knowledge - we go into the depth of the topic and give you the exact - step by step blueprint on how to tame simple as well as complex topics in easy and digestible bite-sized videos.This real-world knowledge enables you to grasp knowledge easily, and you can apply this learning immediately to your life and projects.Educational Engineering Team has been in the Programming and Microcontroller business since 2007. We have been part of many projects. Over the course of these years - we have gained a good insight into students’ and educators’ needs. We are passionate about sharing all our collective knowledge with you. As of 2018, we have already taught over 250k-THOUSAND students and counting.Currently, we have more than 100+ Courses on UdemyEducator and Author of "Educational Engineering".Ashraf is an educator, Mechatronics engineer, electronics and programming hobbyist, and Maker. He creates online video courses on the EduEng YouTube Channel (More Than 4 Million View, 20k + Subscriber) and author of four Microcontroller books.As a Chief Educational Engineer since 2007 at Educational Engineering Team, the company he founded, Ashraf’s mission is to explore new trends and technology and help educate the world and make it a better place.Educational Engineering offers educational courses and Bootcamps, articles, lessons, and online support for electronics hobbyists, Programming hobbyists, Microcontroller hobbyists, STEM students, and STEM teachers.That team also works as freelancer engineers, helping many students in their graduation projects, and providing guidance and consulting for many students over the years to help them kick-start their career.Ashraf’s core skill is explaining difficult concepts in a step-by-step, easy-to-understand manner using video and text. With over 11 years of tertiary teaching experience, Ashraf has developed a simple yet comprehensive and informative teaching style that students from all around the world appreciate.His passion for Microcontrollers and Programming, and in particular for the world of Arduino, PIC Microcontroller, Raspberry Pi, has guided his personal development and his work through Educational Engineering.Ashraf’s online courses have helped over 250,000 people from around the world to be better and to make a great career in the industry.Educational Engineering Team offers Courses on<ul><li>Circuit Design, Simulation, and PCB Fabrication</li><li>Arduino, PIC Microcontroller, and Raspberry Pi</li><li>Programming in C, Python, and other programming languages</li><li>PLC Industrial Programming and Automation</li><li>3D Design and Simulation</li><li>ESP and IoT World</li></ul>A Single Powerful CTAEnroll now and start your journey to mastering sensor data cleaning with filters today!FAQ SectionQ: Do I need any prior knowledge to take this course?A: No prior knowledge or skills are required. This course is designed for complete beginners.Q: How long will it take to see results?A: Results can vary, but many students start seeing results within the first few weeks of applying the strategies taught in the course.Q: Is there a money-back guarantee?A: Yes, Udemy offers a 30-day money-back guarantee if you are not satisfied with the course.What You Will Learn<ul><li>Why we need to clean noise data</li><li>What are Filters</li><li>How to implement Filters using Microcontrollers like Arduino</li><li>Moving Average Filter</li><li>Averaging filter</li><li>Running average filter</li><li>Exponential filter</li><li>Turning Filtering equations into actual code</li><li>Compare results before and after filtering</li></ul>Who Is This Course For<ul><li>Anyone interested in sensor data processing</li><li>Beginners with no prior experience in filtering techniques</li><li>Makers and hobbyists wanting to enhance their data accuracy</li><li>Students and professionals looking to improve their skills in data processing</li></ul>Requirements<ul><li>A computer with internet access</li><li>Basic understanding of the internet and web browsing</li><li>Willingness to learn and implement the strategies taught</li></ul><h2 id="66a9ebec-1013-4ee7-adb4-2597fc53c995" data-toc-id="66a9ebec-1013-4ee7-adb4-2597fc53c995">Who this course is for:</h2><ul><li>Anyone Interested in Filtering Noise from different Sensors using Microcontrollers like Arduino</li><li>Anyone Interested in Learning how to code filters using Arduino C Programming</li><li>Anyone Interested in Learning New Things about Arduino</li><li>Anyone with slight interest in making great things</li><li>Arduino Geeks</li><li>Electronics Geeks</li><li>Hardware developers</li></ul>

Read any Noisy Sensor Data and use different types of filters to reduce the noise and convert RAW data to useable data

Clean Sensor Data with Filters

Ashraf Said

Course content

Course Description

This Course Includes