دوراتنا

Linear Algebra 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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• Self Paced
• 22 ساعات
• الإنجليزية

Get Started with Python

This is the second of seven courses in the Google Advanced Data Analytics Certificate. The Python programming language is a powerful tool for data analysis. In this course, you’ll learn the basic concepts of Python programming and how data professionals use Python on the job. You'll explore concepts such as object-oriented programming, variables, data types, functions, conditional statements, loops, and data structures.

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• Self Paced
• 31 ساعات
• 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

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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• Self Paced
• 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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• Self Paced
• الإنجليزية

Fast Typer 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. Learning and understanding Pygame in Python will help you progress in the programming field by creating simple Python applications.

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• Self Paced
• 3 ساعات
• 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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• Self Paced
• الإنجليزية

Data Structures Fundamentals

Learn about data structures that are used in computational thinking – both basic and advanced.

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• الإنجليزية

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 & Algorithms Using C++

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• Self Paced
• 6
• الإنجليزية

R Programming Basics for Data Science

This course introduces you to R language fundamentals and covers common data structures, programming techniques, and how to manipulate data all with the help of the R programming language.

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• 13
• الإنجليزية

Dynamic Programming, Greedy Algorithms

This course covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) and using linear/integer programming solvers for solving optimization problems. We will also cover some advanced topics in data structures. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform.

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• Self Paced
• 38 ساعات
• الإنجليزية

Algorithms, Part I

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms. All the features of this course are available for free.

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• Self Paced
• 54 ساعات
• الإنجليزية

Python for Data Science, AI & Development

Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher. This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn about Python basics and the different data types.

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• Self Paced
• 27 ساعات
• الإنجليزية

Computing in Python III: Data Structures

Learn more complex ways of handling data, including files, lists, and dictionaries for building complex programs.

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• الإنجليزية

Fundamental Tools of Data Wrangling

Data wrangling is a crucial step in the data analysis process, as it involves the transformation and preparation of raw data into a suitable format for analysis. The "Fundamental Tools for Data Wrangling" course is designed to provide participants with essential skills and knowledge to effectively manipulate, clean, and analyze data. Participants will be introduced to the fundamental tools commonly used in data wrangling, including Python, data structures, NumPy, and pandas.

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• Self Paced
• 27 ساعات
• الإنجليزية

Process Map Data using C++ Adjacency List Shortest Path

In this project you will use the adjacency list data structure and other data structures to find the shortest distance between a set of towns 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 computer networking routing.

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• Self Paced
• 2 ساعات
• الإنجليزية

Learn Java and JavaFX by creating a Graphical Calculator

In this 1 hour and 30 minutes long project, you will learn how to create a fully functional graphical calculator using Java and one of it’s most promising graphical libraries; JavaFX. This project gives you a head start with one of the most widely used programming languages in the world; Java. The project will teach you basic programming fundamentals such as data structures and conditional statements. Learning Java and JavaFX will open the door for you to create rich cross-platform applications customized to fit your needs.

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• Self Paced
• 3 ساعات
• الإنجليزية

Create a Record of Students using Arrays in Java

This project provides a step-by-step approach in instruction and will equip you with fundamental concepts of creating arrays and array lists in Java programming, from the ground up. Using jGRASP development environment, you will create a Java project that records and processes students’ data. The data includes name, mode of study, and marks. Using this data, you will output the student details, compute the total marks per student, determine the average mark, and the highest mark for the class. You will also be introduced to basic concepts in using array lists.

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• Self Paced
• 3 ساعات
• الإنجليزية

Probability & Statistics for Machine Learning & 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.

• Course by
• Self Paced
• 29 ساعات
• الإنجليزية

Inheritance and Data Structures in Java

This course provides a comprehensive look at Java inheritance, including access modifiers and overriding methods. Students are introduced to abstract classes, and will learn how to read and write to files, use regular expressions for parsing text, and how to leverage complex data structures like collections and maps. Additionally, this course offers strategies for catching errors and debugging code, including an overview of Eclipse’s debugging tool.

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• Self Paced
• 21 ساعات
• الإنجليزية

Dart: Using Functions with Lists and Maps

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how Dart is used with data structures. Understand the utility of Maps and Lists and how these are used to reference infor…

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• Self Paced
• الإنجليزية

Java Built in Data Structures

In this project you will read weather data from a file and populate a Java ArrayList with the file data. The data is then uniquified in a Set data structure and stored in a HashMap for accessing data by year. Java's collections framework contains data structures that are built for efficiency. They are used to store and retrieve data in various formats. A list such as an ArrayList can be used in place of an array to contain data where the size cannot be determined ahead of time.

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• Self Paced
• 2 ساعات
• الإنجليزية

Scripting with Python and SQL for Data Engineering

In this third course of the Python, Bash and SQL Essentials for Data Engineering Specialization, you will explore techniques to work effectively with Python and SQL. We will go through useful data structures in Python scripting and connect to databases like MySQL. Additionally, you will learn how to use a modern text editor to connect and run SQL queries against a real database, performing operations to load and extract data. Finally, you will use extracted data from websites using scraping techniques.

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• Self Paced
• 18 ساعات
• الإنجليزية

Applying Data Structures to Manipulate Cleansed UN Data

In this 1-hour long project-based course, you will discover optimal situations to use fundamental data structures such as Arrays, Stacks, Queues, Hashtables, LinkedLists, and ArrayLists. By the end of this project you will create an application that processes an UN dataset, and manipulates this dataset using a variety of different data structures. In addition, you will explore how to implement each data structure using industry-standard Java practices, and gain experience manipulating real life data sets.

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• Self Paced
• 2 ساعات
• الإنجليزية