239 Data Structures & Algorithms (DSA) courses

Basic Python syntax and principles of Object Orientated Programming. Most attendees are in-work IT Professional. Private individuals are also very welcome. Evening courses also running. Our Style: Hands-on, Practical Location: Online, Instructor-led Download: anaconda.com Duration: 6 weeks, 1 evening per week, 6pm - 8pm Times: arrange a time for your time zone

Learn to build highly sophisticated deep learning and Computer Vision applications with PyTorch

Learn Flutter - Google's mobile development framework - and build Flutter iOS and Android apps using a single codebase

Welcome to a complete and in-depth JavaScript course. This is an all-in-one package that will take you from the very fundamentals of JavaScript, all the way to building a fully functional typing test app. You will learn modern JavaScript from the very beginning, step-by-step through practical and fun code examples, with the important theory about how JavaScript works behind the scenes.

Learn Java programming step-by-step with 250 core features and 200+ code examples, perfect for absolute beginners. This hands-on course covers everything from basic concepts to advanced topics such as functional programming and exception handling using JShell and Eclipse as an IDE. Gain a solid foundation in Java and kickstart your programming career.

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This second-edition JavaScript course covers fundamental concepts, including variables, data types, functions, and control flow, as well as advanced topics such as object-oriented programming, modules, and testing. With practical projects and clear explanations, learners can gain a solid understanding of the language and develop their skills.

24-Hour Knowledge Knockdown! Prices Reduced Like Never Before Did you know that Python is the fastest-growing programming language in the world? In the UK alone, the demand for Python developers has grown by a staggering 38% in the last year! If you're not one of them, now is the perfect time to get on board. And with our Diploma in Python Programming bundle, you can do just that. This diploma takes you on a structured learning journey, starting with the fundamentals of Python programming. You'll master essential concepts like data structures, control flow, and functions. As you progress, you'll delve into advanced topics like data science, machine learning, and even explore its application in specialised fields like spatial analysis. By the program's end, you'll be proficient in writing Python scripts to solve complex problems, analyse data, and automate tasks. With a single payment, you will gain access to Python Programming course, including 10 premium courses, a QLS Endorsed Hardcopy certificate (for the title course) and 11 PDF certificates for Absolutely free. This Diploma in Python Programming Bundle Package includes: Main Course: Diploma in Python Programming at QLS Level 5 10 Premium Additional CPD QS Accredited Courses - Course 01: Learn Programming with Python Course 02: Python Data Science Course 03: An Introduction to Graph Theory Course 04: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 05: Level-3 Machine Learning Course with Python Course 06: Learn to Use Python for Spatial Analysis in ArcGIS Course 07: Higher Order Functions in Python - Level 03 Course 08: Easy to Advanced Data Structures Course 09: Introduction to Data Analysis Course 10: Business Intelligence and Data Mining Diploma With so much valuable content included, it's no wonder that this bundle is quickly becoming one of our most popular offerings. So why wait? Enrol today and start your journey towards becoming a Python expert. Learning Outcomes of Python Programming Grasp fundamental Python concepts like variables, data types, operators, and control flow. Master essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualization. Gain expertise in data analysis techniques and explore machine learning algorithms using Python. Implement Python for cloud deployment using platforms like AWS or Azure (course dependent). Utilise Python for spatial data analysis with ArcGIS (course dependent). Develop proficiency in writing clean, efficient, and maintainable Python code. Why Choose Us? Get a Free QLS Endorsed Certificate upon completion of Python Programming Get a free student ID card with Python Programming Training program (£10 postal charge will be applicable for international delivery) The Python Programming is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Get Lifetime access to the Python Programming course materials The Python Programming comes with 24/7 tutor support Start your learning journey straightaway! *** Course Curriculum *** Main Course: Diploma in Python Programming at QLS Level 5 Unit 01: Introduction To Python Programming Unit 02: Getting Started With Python Unit 03: Conditional Branching With Python Unit 04: Importing External/Internal Library In Python Unit 05: Project Rock Paper And Scissors Unit 06: Strings Operation In Python Unit 07: Date And Time In Python Unit 08: File Handling, Read And Write Using Python Unit 09: Data Storage Structures, Tuple, List And Dictionary Unit 10: Writing User Functions In Python Unit 11: Sending Mail Unit 12: Import Tricks In Python Unit 13: Import Operating System And Platform Unit 14: Exceptions Handling In Python Unit 15: Installing Packages And Scheduling In Python Unit 16: Data Base In Python Using Sqlite Unit 17: Running Program From Command Prompt And Jupyter Notebook Unit 18: Conclusion Course 01: Learn Programming with Python Module 01 A Installing Python FREE Documentation Command Line Variables Simple Python Syntax Keywords Import Module Module 02 Additional Topics If Elif Else Iterable For Loops Execute Exceptions Module 03 Data Types Number Types More Number Types Strings More Strings Files Lists Dictionaries Tuples Sets Course 02: Python Data Science Unit 01: Introduction To Python Data Science Module 01: Introduction to Python Data Science Module 02: Environment Setup Unit 02: Data Cleaning Packages Module 01: Numpy package for calculations Module 02: Panda package for Data cleaning Unit 03: Data Visualization Packages Module 01: Matplotlib Data Visualization Part 1 Module 02: Matplotlib Data Visualization Part 2 =========>>>>> And 8 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your QLS Endorsed Certificates and CPD Accredited Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*11 = £143) QLS Endorsed Hard Copy Certificate: Free (For The Title Course: Previously it was £119) CPD 255 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Individuals who want to become proficient Python programmers. Professionals who want to enhance their programming skills. Students who want to pursue a career in data science or machine learning. Anyone interested in learning Python programming language. Requirements There is no formal requirements to enrol in this course. Career path This bundle will help you to develop your knowledge and skills to pursue different careers, such as Junior Python Developer: £25,000 - £40,000 per year. Data Analyst: £26,000 - £50,000 per year. Machine Learning Engineer: £40,000 - £80,000 per year. Data Scientist: £45,000 - £85,000 per year. Certificates CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. CPD QS Accredited Certificate Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee. Diploma in Python Programming at QLS Level 5 Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee.

Delve into the intricate world of 'Data Structure' with our comprehensive course, meticulously crafted for those who have a penchant for understanding the skeleton of software engineering. Data structures form the backbone of algorithmic efficiency, and mastering them is akin to holding the master key to software optimisation. Our course is a confluence of foundational knowledge and complex data structuring, ensuring that you emerge not only informed but also invigorated, ready to tackle any computational challenge thrown your way. Learning Outcomes Gain foundational understanding of different data structures and their implementations. Discover the intricate details of arrays, linked lists, stacks, and queues. Develop the ability to effectively utilise advanced structures like AVL trees and Fenwick trees. Master techniques for optimising algorithmic efficiency using suitable data structures. Enhance problem-solving skills related to data storage and retrieval. Why choose this Data Structure course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Diploma in Data Structure at QLS Level 5 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Data Structure course for? Individuals keen on deepening their computer science foundations. Software developers aiming to optimise their code. Students pursuing computer science and related disciplines. Competitive coders desiring an edge in algorithm competitions. Tech enthusiasts eager to understand the underpinnings of efficient programming. Career path Software Developer: £25,000 - £45,000 Algorithm Engineer: £40,000 - £60,000 Data Scientist: £35,000 - £55,000 Backend Developer: £28,000 - £50,000 Systems Architect: £45,000 - £70,000 Data Engineer: £30,000 - £55,000 Prerequisites This Diploma in Data Structure at QLS Level 5 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Diploma in Data Structure at QLS Level 5 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £115 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Unit 01: Introduction Module 01: Promo Video 00:02:00 Module 02: Data Structure Introduction 00:05:00 Module 03: Computational Complexity Analysis 00:13:00 Unit 02: Arrays Module 01: Static and Dynamic Arrays 00:12:00 Module 02: Dynamic Arrays Source Code 00:07:00 Unit 03: Linked List Module 01: Singly and Doubly Linked Lists 00:15:00 Module 02: Doubly Linked Lists Source Code 00:10:00 Unit 04: Stack Module 01: Stack 00:12:00 Module 02: Stack Implementation 00:04:00 Module 03: Stack Source Code 00:04:00 Unit 05: Queues Module 01: Queues (Part-1) 00:06:00 Module 02: Queues (Part-2) 00:06:00 Module 03: Queue Source Code 00:04:00 Unit 06: Priority Queues (PQs) Module 01: Priority Queues (PQs) with an interlude on heaps 00:13:00 Module 02: Turning Min PQ into Max PQ 00:06:00 Module 03: Adding Elements to Binary Heap 00:10:00 Module 04: Removing Elements from Binary Heap 00:14:00 Module 05: Priority Queue Binary Heap Source Code 00:16:00 Unit 07: Union Find Module 01: Disjoint Set 00:06:00 Module 02: Kruskal's Algorithm 00:06:00 Module 03: Union and Find Operations 00:11:00 Module 04: Path Compression Union Find 00:07:00 Module 05: Union Find Source Code 00:08:00 Unit 08: Binary Search Trees Module 01: Binary Trees and Binary Search Trees (BST) 00:13:00 Module 02: Inserting Element into a Binary Search Tree (BST) 00:06:00 Module 03: Removing Element from a Binary Search Tree (BST) 00:14:00 Module 04: Tree Traversals 00:12:00 Module 05: Binary Search Source Code 00:13:00 Unit 09: Fenwick Tree Module 01: Fenwick Tree Construction 00:06:00 Module 02: Point Updates 00:05:00 Module 03: Binary Indexed Tree 00:14:00 Module 04: Fenwick Tree Source Code 00:06:00 Unit 10: Hash Tables Module 01: Hash Table 00:17:00 Module 02: Separate Chaining 00:08:00 Module 03: Separate Chaining Source Code 00:12:00 Module 04: Open Addressing 00:11:00 Module 05: Linear Probing 00:14:00 Module 06: Quadratic Probing 00:09:00 Module 07: Double Hashing 00:15:00 Module 08: Removing Element Open Addressing 00:08:00 Module 09: Open Addressing Code 00:15:00 Unit 11: Suffix Array Module 01: Introduction 00:03:00 Module 02: The Longest Common Prefix (LCP) Array 00:03:00 Module 03: Using SA/LCP Array to Find Unique Substrings 00:05:00 Module 04: Longest Common Substring (LCS) 00:11:00 Module 05: Longest Common Substring (LCS) Full Example 00:07:00 Module 06: Longest Repeated Substring (LRS) 00:05:00 Unit 12: AVL Trees Module 01: Balanced Binary Search Trees (BBSTs) 00:09:00 Module 02: Inserting Elements into an AVL Tree 00:10:00 Module 03: Removing an AVL Tree 00:09:00 Module 04: AVL Tree Source Code 00:17:00 Unit 13: Indexed Priority Queue Module 01: Indexed Priority Queue (Part-1) 00:25:00 Module 02: Indexed Priority Queue Source Code 00:09:00 Unit 14: Sparse Tables Module 01: Sparse Table 00:26:00 Module 02: Sparse Table Source Code 00:07:00 Assignment Assignment - Diploma in Data Structure at QLS Level 5 04:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

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