This course is the fourth of eight courses aiming to help you to become confident working with algorithms and data structure. You will learn the history of algorithms, discretisation and pseudocode and Euclidean algorithm in pseudocode.
Problems, Algorithms and Flowcharts
Problems, Algorithms and Flowcharts
This course is part of Data Science Foundations Specialization
Instructor: Robert Zimmer
Sponsored by EmployNV
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
8 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
In this course you will learn the history of algorithms, discretisation and pseudocode and Euclidean algorithm in pseudocode.
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
10 assignments
Taught in English
Recently updated!
October 2024
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Data Science Foundations Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 4 modules in this course
This week, we will cover three key concepts: problems in computer science (CS), algorithms in CS, and flowcharts.
What's included
4 videos3 readings3 assignments2 discussion prompts
This week, we will continue covering the three key concepts: problems in computer science (CS), algorithms in CS, and flowcharts.
What's included
4 videos3 assignments2 discussion prompts
This week, we will cover three key concepts: pseudocode, iteration and conversion from flowcharts to pseudocode.
What's included
5 videos2 assignments3 discussion prompts
This week, we will continue covering three key concepts: pseudocode, iteration and conversion from flowcharts to pseudocode.
What's included
4 videos2 assignments2 discussion prompts
Instructor
Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Recommended if you're interested in Data Science
Rice University
Tsinghua University
University of Glasgow
University of California, Santa Cruz
Open new doors with Coursera Plus
Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy