

دوراتنا

Algorithms and Data Structures Capstone
Synthesize your knowledge of algorithms and biology to build your own software for solving a biological challenge.
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الإنجليزية

Data Structures Fundamentals
Learn about data structures that are used in computational thinking – both basic and advanced.
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Course by
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الإنجليزية

How to Code: Complex Data
Learn how to design more complex programs, using new data structures, abstraction, and generative recursion.
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Course by
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Self Paced
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الإنجليزية

Calculus for Machine Learning and Data Science
Newly updated for 2024! Mathematics for Machine Learning and Data Science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. In machine learning, you apply math concepts through programming. And so, in this specialization, you’ll apply the math concepts you learn using Python programming in hands-on lab exercises.
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Course by
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Self Paced
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26 ساعات
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الإنجليزية

Data Structures & Algorithms III: AVL and 2-4 Trees, Divide and Conquer Algorithms
Learn more complex tree data structures, AVL and (2-4) trees. Investigate the balancing techniques found in both tree types. Implement these techniques in AVL operations. Explore sorting algorithms with simple iterative sorts, followed by Divide and Conquer algorithms. Use the course visualizations to understand the performance.
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Course by
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Self Paced
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الإنجليزية

Data Structures & Algorithms II: Binary Trees, Heaps, SkipLists and HashMaps
Become familiar with nonlinear and hierarchical data structures. Study various tree structures: Binary Trees, BSTs and Heaps. Understand tree operations and algorithms. Learn and implement HashMaps that utilize key-value pairs to store data. Explore probabilistic data structures like SkipLists. Course tools help visualize the structures and performance.
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Course by
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Self Paced
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الإنجليزية

Data Structures & Algorithms I: ArrayLists, LinkedLists, Stacks and Queues
Work with the principles of data storage in Arrays, ArrayLists & LinkedList nodes. Understand their operations and performance with visualizations. Implement low-level linear, linked data structures with recursive methods, and explore their edge cases. Extend these structures to the Abstract Data Types, Stacks, Queues and Deques.
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الإنجليزية

Object Oriented Java Programming: Data Structures and Beyond
This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. You’ll also practice critically evaluating your own code, and you’ll build technical communication skills that will help you prepare for job interviews and collaborative work as a software engineer.
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Course by
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Self Paced
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الإنجليزية

CUDA Advanced Libraries
This course will complete the GPU specialization, focusing on the leading libraries distributed as part of the CUDA Toolkit. Students will learn how to use CuFFT, and linear algebra libraries to perform complex mathematical computations. The Thrust library’s capabilities in representing common data structures and associated algorithms will be introduced. Using cuDNN and cuTensor they will be able to develop machine learning applications that help with object detection, human language translation and image classification.
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Course by
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Self Paced
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25 ساعات
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الإنجليزية

Data Analysis in Python: Using Numpy for Analysis
This Guided Project Data Analysis in Python: Using Numpy for Analysis is for Intermediate Python learners. In this 1-hour long project-based course, you will learn how to: Transform 1 and 2-dimensional data in Python Lists and Dictionaries into Numpy Arrays, leveraging the real world data of the Lakers starting players to calculate their BMIs and their player efficiency rates.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية

Accelerated Computer Science Fundamentals
Topics covered by this Specialization include basic object-oriented programming, the analysis of asymptotic algorithmic run times, and the implementation of basic data structures including arrays, hash tables, linked lists, trees, heaps and graphs, as well as algorithms for traversals, rebalancing and shortest paths. This Specialization sequence is designed to help prospective applicants prepare for the flexible and affordable Online Master of Computer Science (MCS) and MCS in Data Science.
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Course by
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Self Paced
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الإنجليزية

Introduction to R Programming for Data Science
When working in the data science field you will definitely become acquainted with the R language and the role it plays in data analysis. This course introduces you to the basics of the R language such as data types, techniques for manipulation, and how to implement fundamental programming tasks. You will begin the process of understanding common data structures, programming fundamentals and how to manipulate data all with the help of the R programming language. The emphasis in this course is hands-on and practical learning .
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Course by
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Self Paced
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11 ساعات
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الإنجليزية

Using Efficient Sorting Algorithms in Java to Arrange Tax Data
By the end of this project, you will learn how to create an application that sorts Missouri Tax Data into ascending order using a variety of critical sorting algorithms. We will learn how to process a real life data set, and see the difference between various sorting algorithms in memory and time usage. In addition, we will learn how to analyze a sorting algorithm and how to design a readable implementation. Finally, we will cover what circumstance are ideal for each type of sorting algorithm.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية

C++ Data Structures in the STL
In this project you will read weather data from a file and populate a C++ Vector with the file data. The data is then uniquified in a Set data structure and stored in a Map for accessing data by year. C++'s standard template library or STL contains data structures or containers that are built for efficiency. They are used to store and retrieve data in various formats. A list such as a Vector can be used in place of an array to contain data where the size cannot be determined ahead of time.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية

Determine Shortest Paths Between Routers Using Python
By the end of this project you will use the adjacency list data structure and other data structures to find the shortest distance between a set of routers loaded from a file. The shortest path problem is well known in the field of computer science. An adjacency list is probably the best data structure to represent a set of connected vertices to find the shortest path from one vertex to another. One application for shortest paths is in mapping.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية

Ansible for Network Automation
This course will train you on the fundamentals of Ansible, an open-source, extensible configuration management tool that streamlines infrastructure management in modern networking environments. You will also learn about Jinja2, a templating language that expands flexibility in automation tasks.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية

Wrangling Data for Data Analysts with Python
By the end of this project, you will be able to analyze and data and answer three different questions by Data wrangling which is the process of gathering, selecting, and transforming data to answer an analytical question using Python. In this project, you will be able to gather the data for the whole year of 2020 and query it from the Quandl website using its API. It’s a free website for dummy data. You will be able to convert the returned JSON data into a Python dictionary.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية

Java FullStack Developer
Introducing the Java FullStack Developer Specialization, designed to empower your software development career by providing a comprehensive skillset for building integrated, cloud-ready web applications. The specialization consists of three intensive courses: Fundamentals of Java Programming: Understanding of core Java programming concepts and principles Proficiency in object-oriented programming principles such as inheritance, polymorphism, and abstraction Gaining knowledge in advanced Java topics like multi-threading, concurrency, and the application of common data structures Front-End for
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Course by
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Self Paced
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الإنجليزية

Computer Forensics
This three part InfoSec Specialization covers a wide variety of Computer Forensics topics. In the Digital Forensics Concepts course, you will learn about legal considerations applicable to computer forensics and how to identify, collect and preserve digital evidence. This course dives into the scientific principles relating to digital forensics and gives you a close look at on-scene triaging, keyword lists, grep, file hashing, report writing and the profession of digital forensic examination.
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Course by
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Self Paced
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الإنجليزية

Jet Fighters Game using Pygame
By the end of this project, you will create a fully functioning 2 player jet fighters game using Pygame in Microsoft Visual Studio Code. This project will give you a great head start towards learning more and mastering one of the most used programming languages in the world. In this project you will be able to identify and apply many basic fundamentals such as data structures, variables, loops etc. and create a GUI with dynamic labels and dynamic objects. Learning and understanding Pygame in Python will help you progress in the programming field by creating simple Python applications.
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Course by
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3 ساعات
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الإنجليزية

Mathematics for Machine Learning and Data Science
Newly updated for 2024! Mathematics for Machine Learning and Data Science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. In machine learning, you apply math concepts through programming. And so, in this specialization, you’ll apply the math concepts you learn using Python programming in hands-on lab exercises.
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Course by
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Self Paced
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الإنجليزية

Algorithms for DNA Sequencing
We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. We will learn a little about DNA, genomics, and how DNA sequencing is used. We will use Python to implement key algorithms and data structures and to analyze real genomes and DNA sequencing datasets.
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Course by
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Self Paced
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12 ساعات
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الإنجليزية

Building Web Applications in PHP
In this course, you'll explore the basic structure of a web application, and how a web browser interacts with a web server. You'll be introduced to the request/response cycle, including GET/POST/Redirect. You'll also gain an introductory understanding of Hypertext Markup Language (HTML), as well as the basic syntax and data structures of the PHP language, variables, logic, iteration, arrays, error handling, and superglobal variables, among other elements. An introduction to Cascading Style Sheets (CSS) will allow you to style markup for webpages.
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Course by
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Self Paced
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31 ساعات
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الإنجليزية

Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course)
In this project-centered course you will build a modern software hierarchy, designed to enable the translation and execution of object-based, high-level languages on a bare-bone computer hardware platform. In particular, you will implement a virtual machine and a compiler for a simple, Java-like programming language, and you will develop a basic operating system that closes gaps between the high-level language and the underlying hardware platform. In the process, you will gain a deep, hands-on understanding of numerous topics in applied computer science, e.g.
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Course by
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Self Paced
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90 ساعات
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الإنجليزية

Introduction to Data Engineering
Start your journey in one of the fastest growing professions today with this beginner-friendly Data Engineering course! You will be introduced to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. as well as the roles that Data Engineers, Data Scientists, and Data Analysts play in the ecosystem. You will begin this course by understanding what is data engineering as well as the roles that Data Engineers, Data Scientists, and Data Analysts play in this exciting field.
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Course by
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Self Paced
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13 ساعات
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الإنجليزية