285 Algorithm courses delivered On Demand

Boost Your Career with Apex Learning and Get Noticed By Recruiters in this Hiring Season! Save Up To £4,169 and get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Now Give a compliment to your career and take it to the next level. This Machine Learning will provide you with the essential knowledge and skills required to shine in your professional career. Whether you want to develop skills for your next job or want to elevate skills for your next promotion, this Machine Learning will help you keep ahead of the pack. The Machine Learning incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can reinforce your professional skills and essential knowledge, reaching out to the level of expertise required for your position. Further, this Machine Learning will add extra value to your resume to stand out to potential employers. Throughout the programme, it stresses how to improve your competency as a person in your profession while at the same time it outlines essential career insights in this job sector. Consequently, you'll strengthen your knowledge and skills; on the other hand, see a clearer picture of your career growth in future. By the end of the Machine Learning, you can equip yourself with the essentials to keep you afloat into the competition. Along with this Machine Learning course, you will get 10 other premium courses. Also, you will get an original Hardcopy and PDF certificate for the title course and a student ID card absolutely free. This Bundle Consists of the following Premium courses: * Course 01: Machine Learning with Python * Course 02: Advanced Diploma in User Experience UI/UX Design * Course 03: Data Science & Machine Learning with R * Course 04: Python Programming for Everybody * Course 05: Data Structures Complete Course * Course 06: Data Science with Python * Course 07: Computer Science: Graph Theory Algorithms * Course 08: Higher Order Functions in Python - Level 03 * Course 09: AWS Essentials * Course 10: Cloud Computing / CompTIA Cloud+ (CV0-002) * Course 11: Introduction to Data Analysis So, enrol now to advance your career! Benefits you'll get choosing Apex Learning for this Machine Learning: * One payment, but lifetime access to 11 CPD courses * Certificate, student ID for the title course included in a one-time fee * Full tutor support available from Monday to Friday * Free up your time - don't waste time and money travelling for classes * Accessible, informative modules taught by expert instructors * Learn at your ease - anytime, from anywhere * Study the course from your computer, tablet or mobile device * CPD accredited course - improve the chance of gaining professional skills How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. * PDF Certificate: Free (Previously it was £10 * 11 = £110) * Hard Copy Certificate: Free (For The Title Course) If you want to get hardcopy certificates for other courses, generally you have to pay £20 for each. But this Fall, Apex Learning is offering a Flat 50% discount on hard copy certificates, and you can get each for just £10! P.S. The delivery charge inside the U.K. is £3.99 and the international students have to pay £9.99. Curriculum of the Bundle Course 01: Machine Learning with Python * Module 01: Introduction to Algorithms * Module 02: Preprocessing * Module 03: Regression * Module 04: Classification Course 02: Data Science & Machine Learning with R * Data Science and Machine Learning Course Intro * Data Types and Structures in R * Data Types and Structures in R * Intermediate R * Data Manipulation in R * Data Visualization in R * Creating Reports with R Markdown * Building Webapps with R Shiny * Introduction to Machine Learning * Starting A Career in Data Science Course 03: Python Programming for Everybody Module 01 * A Installing Python * 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 Module 04 * Comprehensions * Definitions * Functions * Default Arguments * Doc Strings * Variadic Functions * Factorial Module 05 * Function Objects * Lambda * Generators * Closures * Classes * Object Initialization * Class Static Members * Classic Inheritance * Data Hiding Course 04: Advanced Diploma in User Experience UI/UX Design * UX/UI Course Introduction * Introduction To The Web Industry * Foundations of Graphic Design * UX Design (User Experience Design) * UI Design (User Interface Design) * Optimization * Starting a Career in UX/UI Design Course 05: Data Structures Complete Course * Unit 01: Introduction * Unit 02: Arrays * Unit 03: Liked List * Unit 04: Stack * Unit 05: Queues * Unit 06: Priority Queues (PQs) * Unit 07: Union Find * Unit 08: Binary Search Trees * Unit 09: Fenwick Tree * Unit 10: Hash Tables * Unit 11: Suffix Array * Unit 12: AVL Trees * Unit 13: Indexed Priority Queue * Unit 14: Sparse Tables Course 06: Data Science with Python * Unit 01: Introduction to Python Data Science * Unit 02: Data Cleaning Packages * Unit 03: Data Visualization packages Course 07: Computer Science: Graph Theory Algorithms * Module 00: Promo * Module 01: Introduction * Module 02: Common Problem * Module 03: Depth First Search * Module 04: Breadth First Search * Module 05: Breadth First Search Shortest Path on a Grid * Module 06: Trees * Module 07: Topological Sort * Module 08: Dijkstra * Module 09: Bellman-Ford Algorithm * Module 10: Floyd-Warshall Algorithm * Module 11: Bridge and Algorithm Points * Module 12: Tarjan Algorithm * Module 13: Travelling Salesman Problem (TSP) * Module 14: Eulerian Paths and Circuits * Module 15: Prim's Minimum Spanning Tree Algorithm * Module 16: Network Flow Course 08: Higher Order Functions in Python - Level 03 * Module 01: Course Introduction * Module 02: Simple Higher Order Functions * Module 03: Sorting with Keys * Module 04: Map Function * Module 05: Filter Function * Module 06: List Comprehension Alternative * Module 07: Recursion Introduction Course 09: AWS Essentials * Section 01: AWS Foundations and Services * Section 02: AWS Security and Costs Course 10: Cloud Computing / CompTIA Cloud+ (CV0-002) * Section 01: What You Need to Know * Section 02: Introducing the Cloud * Section 03: System Requirements for Cloud Deployments * Section 04: Cloud Storage * Section 05: Cloud Compute * Section 06: Cloud Networking * Section 07: Cloud Security * Section 08: Migrating to the Cloud * Section 09: Maintaining Cloud Solutions * Section 10: Troubleshooting Cloud Solutions Course 11: Introduction to Data Analysis * Module 01: Introduction * Module 02: Agenda and Principles of Process Management * Module 03: The Voice of the Process * Module 04: Working as One Team for Improvement * Module 05: Exercise: The Voice of the Customer * Module 06: Tools for Data Analysis * Module 07: The Pareto Chart * Module 08: The Histogram * Module 09: The Run Chart * Module 10: Exercise: Presenting Performance Data * Module 11: Understanding Variation * Module 12: The Control Chart * Module 13: Control Chart Example * Module 14: Control Chart Special Cases * Module 15: Interpreting the Control Chart * Module 16: Control Chart Exercise * Module 17: Strategies to Deal with Variation * Module 18: Using Data to Drive Improvement * Module 19: A Structure for Performance Measurement * Module 20: Data Analysis Exercise * Module 21: Course Project * Module 22: Test your Understanding CPD 125 CPD hours / points Accredited by CPD Quality Standards WHO IS THIS COURSE FOR? Anyone from any background can enrol in this Machine Learning bundle. Persons with similar professions can also refresh or strengthen their skills by enrolling in this course. Students can take this course to gather professional knowledge besides their study or for the future. REQUIREMENTS Our Machine Learning is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. CAREER PATH Having these various expertise will increase the value in your CV and open you up to multiple job sectors. CERTIFICATES CERTIFICATE OF COMPLETION Digital certificate - Included

The Computer Science and Programming Diploma course covers the fundamental theories of Algorithm Analysis. If you want to explore the concepts and methods that make a good programmer, then the course is designed for you. Programming is all about how to solve a problem. Programming theory is not confined to a single language; rather it applies to all programming languages. By understanding the right programming theory, you will be able to analyse a problem and also able to find out the probable solution. The course teaches you these Programming theories covering Algorithm analysis, Binary Number System, Arrays and their Advantages, the process of analysing a problem, Nodes and their Importance, various sorting algorithms and their comparisons, and more. Upon completion, you will be able to understand the core theories of computer science. WHAT WILL I LEARN? * Understand the Fundamental Theories of Algorithm Analysis * Be able to Compare Various Algorithms * Understand When to use Different Data Structures and Algorithms * Understand the Fundamentals of Computer Science theory REQUIREMENTS * A Willingness to Learn New Topics! * No Prior Experience or Knowledge is Needed! Module: 01 Kurt Anderson - 1 Introduction FREE 00:01:00 Kurt Anderson - 2 Binary System FREE 00:11:00 Kurt Anderson - 3 Complexity Introduction 00:02:00 Kurt Anderson - 4 Math Refresher Logarithmic Functions 00:11:00 Kurt Anderson - 5 Math Refresher Factorial Functions.TS 007 00:03:00 Kurt Anderson - 6 Math Refresher Algebraic Expressions.TS 00:03:00 Kurt Anderson - 7 n-notation 00:19:00 Kurt Anderson - 8 Big O 00:13:00 Kurt Anderson - 9 Big O Real World Example 00:10:00 Module: 02 Kurt Anderson - 10 How is Data Stored 00:09:00 Kurt Anderson - 11 Fixed Arrays 00:20:00 Kurt Anderson - 12 Circular Arrays 00:08:00 Kurt Anderson - 13 Dynamic Arrays 00:16:00 Kurt Anderson - 14 Array Review 00:08:00 Kurt Anderson - 15 Array Real World Examples 00:06:00 Kurt Anderson - 16 Linked List 00:12:00 Kurt Anderson - 16 Nodes 00:04:00 Kurt Anderson - 17 Linked List Run Times 00:15:00 Kurt Anderson - 18 Doubly Linked Lists 00:08:00 Kurt Anderson - 19 Tail Pointer 00:05:00 Module: 03 Kurt Anderson - 20 Linked List Real World Examples 00:03:00 Kurt Anderson - 20 Stack Example 00:11:00 Kurt Anderson - 21 Linked List Review 00:04:00 Kurt Anderson - 22 Stacks 00:10:00 Kurt Anderson - 23 Queues 00:09:00 Kurt Anderson - 24 Queue Examples 00:10:00 Kurt Anderson - 25 Queue and Stack Run Times 00:06:00 Kurt Anderson - 26 Stack and Queues Real World Examples 00:07:00 Kurt Anderson - 27 Sorting Algorithm Introdcution 00:02:00 Kurt Anderson - 28 Bubble Sort 00:10:00 Kurt Anderson - 29 Selection Sort 00:10:00 Module: 04 Kurt Anderson - 30 Insertion Sort 00:09:00 Kurt Anderson - 31 Quick Sort 00:15:00 Kurt Anderson - 32 Quick Sort Run Times 00:10:00 Kurt Anderson - 33 Merge Sort 00:12:00 Kurt Anderson - 34 Merge Sort Run Times 00:08:00 Kurt Anderson - 35 Stable vs Nonstable 00:07:00 Kurt Anderson - 36 Sorting Algorithm Real World Examples 00:04:00 Kurt Anderson - 37 Basics of Trees 00:08:00 Kurt Anderson - 38 Binary Search Tree 00:09:00 Kurt Anderson - 39 BST Run Times 00:08:00 Module: 05 Kurt Anderson - 40 Tree Traversals 00:13:00 Kurt Anderson - 41 Tree Real World Examples 00:05:00 Kurt Anderson - 42 Heap Introduction 00:04:00 Kurt Anderson - 43 Heap Step by Step 00:12:00 Kurt Anderson - 44 Heap Real World Examples 00:07:00 Kurt Anderson - 45 Thank You 00:01:00

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