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An overview of Digital Signal Processing

Name: An overview of Digital Signal Processing
Rating: 6.5 (4 reviews)

An overview of Digital Signal Processing for those who are going to start a full course on Digital Signal Processing.

2.7

☆☆☆☆☆ 2.7/5

(4 reviews)

26 students

Created by

Raghavendra Nayak

6.5

CourseMarks Score®

6.7

Freshness

5.3

Feedback

7.0

Content

Detailed Analysis »

Platform: Udemy

Price: check current price

Video: 40m

Language: English

Next start: On Demand

Top Signal Processing courses:

Detailed Analysis

CourseMarks Score®

6.5 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

6.7 / 10

This course was last updated on 8/2019.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

5.3 / 10

We analyzed factors such as the rating (2.7/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

7.0 / 10

Video Score: 7.6 / 10

The course includes 40m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.

The average video length is 7 hours 46 minutes of 32 Signal Processing courses on Udemy.

Detail Score: 7.8 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 5.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.

0 resource.

0 exercise.

0 test.

Description

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Description

An overview of Digital Signal Processing for those who are going to start a full course on Digital Signal Processing.
This course will act as basic building block for learning Digital Signal Processing on full time course.
Many students will not know what Digital Signal Processing is while starting a course on Digital Signal Processing.

You will learn

✓ Basics of Digital Signal Processing

Requirements

Requirementsbasic analog circuits and mathematics

This course is for

• Beginners for DSP

How much does the An overview of Digital Signal Processing course cost? Is it worth it?

The course costs $19.99.

The average price is $15.5 of 32 Signal Processing courses. So this course is 29% more expensive than the average Signal Processing course on Udemy.

Does the An overview of Digital Signal Processing course have a money back guarantee or refund policy?

YES, An overview of Digital Signal Processing has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

At the moment we could not find an available scholarship for An overview of Digital Signal Processing.

Who is the instructor? Is Raghavendra Nayak a SCAM or a TRUSTED instructor?

Raghavendra Nayak has created 1 courses that got 4 reviews which are generally positive. Raghavendra Nayak has taught 26 students and received a 2.7 average review out of 4 reviews. Depending on the information available, Raghavendra Nayak is a TRUSTED instructor.

More info about the instructor,

Raghavendra Nayak

EnC Engineer

I’m Raghavendra nayak , an electronics and communication engineer from Karnataka, India. I’m very much interested in latest technologies like android app development, VLSI design, analog and digital signal processing, machine Learning , internet of things, embedded system design etc.I’m interested in sharing the knowledge that i have to help others in all the possible ways.

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