Search result for Data structures and algorithms Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 1,373 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Sorting Algorithms using Java & C: Make Your Basics Strong
by Shibaji Paul- 4.3
-
![]()
![]()
![]()
![]()
![]()
6.5 hours on-demand video
Learn Analysis of Algorithm using asymptotic notations like Big Oh and others. Understand and analyse sorting algorithms The seven sorting algorithms that you will learn in this course are as follows: Students will learn details of heap data structures along with the heap operations like, insertion into heap, heap adjust, heap delete and heapify while learning the heap sort....
$12.99
Mastering the Software Engineering Interview
by Mia Minnes , Leo Porter , Christine Alvarado- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 21 hours to complete
You’ve hit a major milestone as a computer scientist and are becoming a capable programmer. You now know how to solve problems, write algorithms, and analyze solutions; and you have a wealth of tools (like data structures) at your disposal. Good and bad example introductions Prerequisites and how to get the most out of this course...
Introduction to Business Analytics with R
by Ronald Guymon , Ashish Khandelwal- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 16 hours to complete
In this course you will use a data analytic language, R, to efficiently prepare business data for analytic tools such as algorithms and visualizations. Reading and Writing Data Module 2 How Do I Get to Know My Data and Share It with Others? Getting to Know Your Data 2: Referring to Specific Rows and Columns...
Algebra & Algorithms
by Дмитрий ИльинскийTop Instructor , Alex Dainiak- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 30 hours to complete
Algebra is one of the definitive and oldest branches of mathematics, and design of computer algorithms is one of the youngest. Secondly, algebraic structures and theorems can help develop algorithms for things having [at first glance] nothing to do with algebra, e. Soft and Hard Prerequisites for the Course More on Multiplication of Integers and Polynomials...
Artificial Intelligence Privacy and Convenience
by Brent Summers- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 6 hours to complete
In this course, we will explore fundamental concepts involved in security and privacy of machine learning projects. We will also ask big questions about how businesses implement algorithms and how that affects user privacy and transparency now and in the future. Privacy and convenience vs big data Protecting Privacy: Theories and Methods...
Introduction to Computer Science and Programming Using Python
by John Guttag , Eric Grimson , Ana Bell- 0.0
-
![]()
![]()
![]()
![]()
![]()
9 Weeks
This course is the first of a two-course sequence: Introduction to Computer Science and Programming Using Python, and Introduction to Computational Thinking and Data Science. They are challenging and rigorous courses in which the students spend a lot of time and effort learning to bend the computer to their will. Data structures...
$75
Complete Ruby Programmer - Master Ruby
by Mashrur Hossain- 4.1
-
![]()
![]()
![]()
![]()
![]()
13.5 hours on-demand video
Whether you are a complete beginner or already know the basics but want to know and apply advanced concepts in programming like OOP, automation using web scraping, data engineering and algorithms built from scratch - this is the course for you! Basic data structures - Strings, Ints, Floats and more Compound data structures - Arrays, Hashes and more...
$13.99
Data Analysis Using Python
by Brandon Krakowsky- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 17 hours to complete
This course provides an introduction to basic data science techniques using Python. Students are introduced to core concepts like Data Frames and joining data, and learn how to use data analysis libraries like pandas, numpy, and matplotlib. Students will gain skills in data aggregation and summarization, as well as basic data visualization. Coding demonstration : Catching data errors and sorting...
Data Structures and Software Design
by Chris Murphy- 0.0
-
![]()
![]()
![]()
![]()
![]()
4 Weeks
In this course, you will learn about important core data structures such as arrays, lists, stacks, queues, sets, maps, trees, and graphs, and learn how to evaluate them and reason about their behavior and efficiency. Efficient means of storing and retrieving data in a Java program Use of the inbuilt Java data structures...
$149
Analysis of Algorithms
by Robert Sedgewick- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 21 hours to complete
In addition, this course covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings. Analysis of Algorithms History and Motivation Analysis of Algorithms Trees and Forests BGFs and Distributions...
Previous
