Home Stanford Divide and Conquer, Sorting and Searching, and Randomized Algorithms

Divide and Conquer, Sorting and Searching, and Randomized Algorithms

Course Highlights
  • Stanford University via Coursera
  • Learn for FREE, Up-gradable
  • 17 hour of effort required
  • 165,769+ already enrolled!
  • ★★★★★ (4,432 ratings)
  • Language: English

Enroll Now for FREE

This specific course is part of a specialization, ‘Algorithms Specialization’. This course is all about Algorithms which is basically the heart of computer science. This course will help you learn about the countless practical applications as well as intellectual depth related to computer science. You will be covering the basics of algorithms. Through this course, you will also be gaining a little experience in programming.

TTC Course Analysis:

Following are the results of comprehensive analysis of “Divide and Conquer, Sorting and Searching, and Randomized Algorithms” online course by our team of experts.

TTC Rating
936 Reviews

TakeThisCourse Sentiment Analysis Results:

In order to facilitate our learners with real user experience, we performed sentiment analysis and text mining techniques that generates following results:

  • TTC analyzed a total of 936 reviews for this online course.
  • The analysis indicates that around 90.4% reviews were positive while around 9.6% of reviews had negative sentiment.
  • Stanford University online course received a total score of 4.5 out of 5, based on user opinions related to 4 effectiveness factors including content, engagement, quality practice and career benefit.
Course Review: Divide and Conquer, Sorting and Searching, and Randomized Algorithms
TTC Sentiment Analysis based on Learner Reviews

TTC Course Effectiveness:

TTC Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
4.6 / 5.0
307 Reviews
4.5 / 5.0
651 Reviews
4.4 / 5.0
169 Reviews
4.7 / 5.0
117 Reviews

Divide and Conquer, Sorting and Searching, and Randomized Algorithms

What are the Skills that you will be Gaining through this Course?

Through this course, you will be gaining the following skills:

  • Algorithms
  • Randomized Algorithm
  • Sorting Algorithm
  • Divide and Conquer Algorithms

What you will Learn from this Course?

Through this course, you will be learning about:

  • Introduction to big-oh notation and asymptotic analysis.
  • Divide-and-conquer basics: the master method for analyzing divide and conquer algorithms.
  • The Quicksort algorithm and its analysis: probability review.
  • Linear-time selection: graphs, cuts, and the contraction algorithm.


Let us have a look at the reviews for this course. This feedback will help you learn more about this course. You will get an in-depth look into the course. We will be looking at both positive and negative views for this course.

Positive Feedback

  • Fascinating and all-around organized course. The material is essential, yet has sufficient profundity to be trying for somebody who, similar to me, has insignificant programming experience. The teacher clarifies the material well and is engaging. A huge addition is that, not normal for other comparable courses, you can apply the material and answer the tests with any programming language you see fit (Matthieu D, ★★★★★).
  • A truly energizing and testing course. Cherished the manner in which the teacher clarified everything with such a lot of detail and accuracy. Unquestionably anticipating the following course in the specialization (Christi J V, ★★★★★).
  • Well-informed. Subjects covered well, with walkthrough for exam. Extraordinary experience, taken in a great deal of significant calculations and algorithmic reasoning practices (Karan S, ★★★★★).
  • Generally excellent course in algorithms. I purchased the book to assist me with understanding the conversation to make it way simpler and more enjoyable to comprehend the algorithms. I will continue the entire specialization (Faiz R, ★★★★★).
  • Decent intro to algorithms. Appreciated the programming works out. I would suggest the course to new students to attempt the tasks in python or a comparative significant level language (Sandeep P, ★★★★★).
  • It is truly down to earth and gives you the idea of what could make your programming more effective. All explanations have been clarified in a good manner that is straightforward for confused students. Much appreciated (HAONAN L, ★★★★★).
  • Phenomenal course. What I esteemed most about this course was the lucidity with which verifications and calculations are clarified. In taking in algorithms, one truly benefits from an incredible teacher. Remember that this course includes arithmetic for verifications, and I trust one must be truly inquisitive about algorithms and jump into evidences to understand this course. I loved how well the instructors explained the programming and its exercises. My recommendation: don’t get discouraged, this is all about resilience (Francisco I, ★★★★★).
  • Tim gives incredible clarifications and causes them to notice the correct things at the perfect time. Exercise and tests are extremely useful and make you think the right way. Likewise, the in-video-tests are very much considered to make you consider the subject being portrayed in the video and in this way makes it easier to explain the course contents. This is the perfect course anybody should take to learn algorithms and information structures course. Can’t express gratitude toward Tim enough (Hrishikesh A, ★★★★★).

Negative Feedback

  • For somebody not coming from a math foundation, this course was truly troublesome. I’m as of now a programmer yet needed to support my CS foundation. However, there is basically no certifiable application or true information in this course. It’s practically 80% inconsequential math evidences. Rather than realizing when to apply a particular sort of algorithm tool, you have some educator utilizing huge words and doing math confirmations the entire time. Colossal exercise in futility as I would see it as practically none of that stuff is utilized in genuine computer programming (Cole C, ★★☆☆☆).
  • The educator is just bad at clarifying these ideas. Rather than the Princeton course, his clarifications are thick, stooping, and completely eliminated from the everyday act of programming advancement. I would not recommend this course to anybody (Ian D, ★☆☆☆☆).
  • The instructional exercises aren’t for normal student. It takes an extremely high ability to get them. likewise, the tests and the tasks are too tough. I hope you can make them somewhat simple, the last one. In the event that the math’s required is so high, kindly require seven days to initially clarify the mathematical fresher needed in the course and afterward start the fundamental course (Amit u, ★☆☆☆☆).

Final Thoughts

So, this is a review for Divide and Conquer, Sorting and Searching, and Randomized Algorithms. Stay safe and keep learning.

Enroll Now for FREE

Related Courses:


Algorithms Specialization

      • Stanford University via Coursera
      • 76,119 already enrolled!
      • ★★★★★ (4,654 Ratings)


Algorithms and Data Structures

      • Robert (Bob) Steele via edX
      • 10 hours of effort required!
      • Learn for FREE, Up-gradable
      • Self-paced

Your Feedback:

There are no reviews yet. Be the first one to write one.