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دوراتنا
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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Course by
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Self Paced
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27 ساعات
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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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Course by
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Self Paced
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31 ساعات
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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
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 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
Introduction to Java and Object-Oriented Programming
This course provides an introduction to the Java language and object-oriented programming, including an overview of Java syntax and how it differs from a language like Python. Students will learn how to write custom Java classes and methods, and how to test their code using unit testing and test-driven development. Topics include basic data structures like Arrays and ArrayLists and overloading methods.
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Course by
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Self Paced
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19 ساعات
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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
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
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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Course by
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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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Course by
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13
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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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Course by
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Self Paced
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2 ساعات
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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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Course by
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Self Paced
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18 ساعات
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الإنجليزية
Functional Program Design in Scala (Scala 2 version)
In this course you will learn how to apply the functional programming style in the design of larger Scala applications. You'll get to know important new functional programming concepts, from lazy evaluation to structuring your libraries using monads. We'll work on larger and more involved examples, from state space exploration to random testing to discrete circuit simulators. You’ll also learn some best practices on how to write good Scala code in the real world.
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Course by
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Self Paced
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34 ساعات
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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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Course by
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Self Paced
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3 ساعات
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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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Course by
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الإنجليزية
تعلم Java و JavaFX من خلال عمل آلة حاسبة
مرحبًا بك في تعلم Java و JavaFX من خلال عمل آلة حاسبة. هذه دورة تدريبية قائمة على المشروع وتستغرق حوالي ساعتين لإكمالها. قبل التعمق في المشروع، يرجى إلقاء نظرة على أهداف الدورة التدريبية وهيكلها:
في نهاية المشروع ده هتقدر تعمل آله حاسبه كامله باستخدام Java و Java FX (واحدة من اهم واكبر المكاتب الموجوده). هيديك دفعه وأسس في واحدة من أهم لغات البرمجة وأوسعها استخداما، Java. project هيعلمك أسس البرمجة زي الbasic data structures، conditional statements، والloops. تعلمك الJava والJavaFX هيفتحلك أبواب وهيخليك تعرف تعمل cross platform applications متوافقة لاحتياجاتك.
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Course by
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Self Paced
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4 ساعات
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عربي
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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Course by
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Self Paced
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3 ساعات
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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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Course by
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Self Paced
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38 ساعات
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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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Course by
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Self Paced
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الإنجليزية
Approximation Algorithms
Many real-world algorithmic problems cannot be solved efficiently using traditional algorithmic tools, for example, because the problems are NP-hard. The goal of the Approximation Algorithms course is to become familiar with important algorithmic concepts and techniques needed to effectively deal with such problems. These techniques apply when we don't require the optimal solution to certain problems, but an approximation that is close to the optimal solution. We will see how to efficiently find such approximations.
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Course by
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Self Paced
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15 ساعات
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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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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Plots Creation using Matplotlib Python
By the end of this project, you will be able to add the data in the CSV file to Pandas data frame, plot the graph, and set marker type and color. You will also be able to apply labels, change font size, add grid lines and legends. Finally, you will be able to create the boxplot and save the graph as an image using the matplotlib and seaborn libraries, which are the most important libraries in python that are used for Data Visualization. You can create bar-plots, scatter-plots, histograms, and a lot more with them. This guided project is for people in the field of data and data analysis.
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Course by
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Self Paced
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3 ساعات
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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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Course by
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Self Paced
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2 ساعات
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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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Course by
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Self Paced
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54 ساعات
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الإنجليزية
Dart: Variables, Data Structures, Objects, and Conditionals
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn more about the basics of Dart. Build on your knowledge of Dart development…
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Course by
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Self Paced
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الإنجليزية