446 Algorithm courses

The course is crafted to help you understand not only the role and impact of recommender systems in real-world applications but also provide hands-on experience in developing complete recommender systems engines for your customized dataset using projects. This learning-by-doing course will help you master the concepts and methodology of Python.

Register on the Easy to Advanced Data Structures today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The Easy to Advanced Data Structures is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Easy to Advanced Data Structures Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Easy to Advanced Data Structures, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.  Course Content 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 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 00:06:00 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 05: Longest Common Substring (LCS) Full Example 00:07:00 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 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

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

Discrete Maths Teaching is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Discrete Maths Teaching and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills. Consisting of several modules, the course teaches you everything you need to succeed in this profession. The course can be studied part-time. You can become accredited within 19 hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website. Why Choose Teachers Training Some of our website features are: This is a dedicated website for teaching 24/7 tutor support Interactive Content Affordable price Courses accredited by the UK's top awarding bodies 100% online Flexible deadline Entry Requirements No formal entry requirements. You need to have: Passion for learning A good understanding of the English language Be motivated and hard-working Over the age of 16. Certification Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish. You can get your digital certificate (PDF) for £4.99 only Hard copy certificates are also available, and you can get one for only £10.99 You can get both PDF and Hard copy certificates for just £12.99! The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs. Sets Introduction to Sets 00:01:00 Definition of Set 00:09:00 Number Sets 00:10:00 Set Equality 00:09:00 Set-Builder Notation 00:10:00 Types of Sets 00:12:00 Subsets 00:10:00 Power Set 00:05:00 Ordered Pairs 00:05:00 Cartesian Products 00:14:00 Cartesian Plane 00:04:00 Venn Diagrams 00:03:00 Set Operations (Union, Intersection) 00:15:00 Properties of Union and Intersection 00:10:00 Set Operations (Difference, Complement) 00:12:00 Properties of Difference and Complement 00:07:00 De Morgan's Law 00:08:00 Partition of Sets 00:16:00 Logic Introduction 00:01:00 Statements 00:07:00 Compound Statements 00:13:00 Truth Tables 00:09:00 Examples 00:13:00 Logical Equivalences 00:07:00 Tautologies and Contradictions 00:06:00 De Morgan's Laws in Logic 00:12:00 Logical Equivalence Laws 00:03:00 Conditional Statements 00:13:00 Negation of Conditional Statements 00:10:00 Converse and Inverse 00:07:00 Biconditional Statements 00:09:00 Examples 00:12:00 Digital Logic Circuits 00:13:00 Black Boxes and Gates 00:15:00 Boolean Expressions 00:06:00 Truth Tables and Circuits 00:09:00 Equivalent Circuits 00:07:00 NAND and NOR Gates 00:07:00 Quantified Statements - ALL 00:08:00 Quantified Statements - THERE EXISTS 00:07:00 Negations of Quantified Statements 00:08:00 Number Theory Introduction 00:01:00 Parity 00:13:00 Divisibility 00:11:00 Prime Numbers 00:08:00 Prime Factorisation 00:09:00 GCD & LCM 00:17:00 Proof Intro 00:06:00 Terminologies 00:08:00 Direct Proofs 00:09:00 Proofs by Contrapositive 00:11:00 Proofs by Contradiction 00:17:00 Exhaustion Proofs 00:14:00 Existence & Uniqueness Proofs 00:16:00 Proofs by Induction 00:12:00 Examples 00:19:00 Functions Intro 00:01:00 Functions 00:15:00 Evaluating a Function 00:13:00 Domains 00:16:00 Range 00:05:00 Graphs 00:16:00 Graphing Calculator 00:06:00 Extracting Info from a Graph 00:12:00 Domain & Range from a Graph 00:08:00 Function Composition 00:10:00 Function Combination 00:09:00 Even and Odd Functions 00:08:00 One to One (Injective) Functions 00:09:00 Onto (Surjective) Functions 00:07:00 Inverse Functions 00:10:00 Long Division 00:16:00 Relations Intro 00:01:00 The Language of Relations 00:10:00 Relations on Sets 00:13:00 The Inverse of a Relation 00:06:00 Reflexivity, Symmetry and Transitivity 00:13:00 Examples 00:08:00 Properties of Equality & Less Than 00:08:00 Equivalence Relation 00:07:00 Equivalence Class 00:07:00 Graph Theory Intro 00:01:00 Graphs 00:11:00 Subgraphs 00:09:00 Degree 00:10:00 Sum of Degrees of Vertices Theorem 00:23:00 Adjacency and Incidence 00:09:00 Adjacency Matrix 00:16:00 Incidence Matrix 00:08:00 Isomorphism 00:08:00 Walks, Trails, Paths, and Circuits 00:13:00 Examples 00:10:00 Eccentricity, Diameter, and Radius 00:07:00 Connectedness 00:20:00 Euler Trails and Circuits 00:18:00 Fleury's Algorithm 00:10:00 Hamiltonian Paths and Circuits 00:06:00 Ore's Theorem 00:14:00 The Shortest Path Problem 00:13:00 Statistics Intro 00:01:00 Terminologies 00:03:00 Mean 00:04:00 Median 00:03:00 Mode 00:03:00 Range 00:08:00 Outlier 00:04:00 Variance 00:09:00 Standard Deviation 00:04:00 Combinatorics Intro 00:03:00 Factorials 00:08:00 The Fundamental Counting Principle 00:13:00 Permutations 00:13:00 Combinations 00:12:00 Pigeonhole Principle 00:06:00 Pascal's Triangle 00:08:00 Sequence and Series Intro 00:01:00 Sequence 00:07:00 Arithmetic Sequences 00:12:00 Geometric Sequences 00:09:00 Partial Sums of Arithmetic Sequences 00:12:00 Partial Sums of Geometric Sequences 00:07:00 Series 00:13:00

Register on the Data Structure today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The Data Structure course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Data Structure Course Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Data Structure course, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content 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: Liked 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 00:06:00 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 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

This comprehensive deep learning course with Python will start with the basics and work up to advanced topics such as using different frameworks in Python to solve real-world problems and building artificial neural networks with TensorFlow and Keras.

This beginner's course exclusively delivers Python programming from basic to advanced. You will learn Python concepts in real-life programming examples by building real-world applications. Learn the syntax of Python language and understand the logic behind the programming process to create your Python programs successfully and master Python coding.

Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently

Coding (Computer Programming) Master the knowledge and skills needed to become a good programmer Coding is a cornerstone of the digital age, influencing everything from the technology we use daily to the applications we rely on. Mastering various aspects of coding and computer programming is essential for anyone looking to excel in this field. The Coding (Computer Programming) Diploma provides comprehensive training on crucial programming concepts, including binary systems, algorithm analysis, and data storage. Additionally, you will gain practical skills in arrays, linked lists, stacks, and queues. This diploma course is designed to equip you with the necessary knowledge and technical skills to become proficient in coding. Through detailed modules and hands-on practice, you’ll learn how to tackle complex problems, write efficient code, and understand fundamental computer science principles. This in-depth training ensures you are well-prepared to enter the programming industry with confidence. Embrace the opportunity to advance your coding skills and enhance your career prospects. By enrolling in the Coding (Computer Programming) Diploma, you'll position yourself for success in a competitive job market. Start your journey today and gain the expertise needed to excel as a skilled programmer. This Coding (Computer Programming) Bundle Consists of the following Premium courses: Course 01: Coding with HTML, CSS, & JavaScript Course 02: Computer Science With Python Course 03: Python Programming for Everybody Course 04: Ultimate PHP & MySQL Web Development Course & OOP Coding Course 05: Ethical Hacking Course 06: Complete Web Application Penetration Testing & Security Course 07: Diploma in PHP Web Development Course 08: Front End Web Development Diploma Course 09: SQL Server for Beginners Course 10: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 11: Level 3 Cyber Security Key Features of the Course: FREE Coding (Computer Programming) Diploma CPD-accredited certificate Get a free student ID card with Coding (Computer Programming) Diploma training (£10 applicable for international delivery) Lifetime access to the Coding (Computer Programming) Diploma course materials The Coding (Computer Programming) Diploma program comes with 24/7 tutor support Get instant access to this Coding (Computer Programming) Diploma course Learn Coding (Computer Programming) Diploma training from anywhere in the world The Coding (Computer Programming) Diploma training is affordable and simple to understand The Coding (Computer Programming) Diploma training is entirely online Learning Outcomes of Coding (Computer Programming): Gain the knowledge, skills and guidelines of coding (computer programming) Ability to do coding with HTML, CSS, Javascript & Python Learn how to create your first responsive website Get a comprehensive understanding of ethical hacking and web hacking Explore complete web application penetration testing & security Gain expertise in PHP web development & Front End web development Discover SQL Server and how it is used to manage and store information Become fully aware of Cloud Computing and why it is needed Description The Coding (Computer Programming) Diploma provides an in-depth exploration of essential programming concepts and practices. This comprehensive course covers everything from binary systems and algorithm analysis to data structures such as arrays, linked lists, stacks, and queues. With practical hands-on training, you'll develop the skills needed to tackle complex coding challenges and build efficient, effective programs. Perfect for those seeking to enhance their technical expertise or launch a career in programming, this diploma offers the foundational knowledge and practical experience required to succeed in the dynamic field of computer science. Curriculum of Coding (Computer Programming) Bundle Course 01: Coding with HTML, CSS, & JavaScript Welcome HTML 5 CSS 3 Bootstrap Project 1 - Design a Landing Page Project 2 - Business Website Project 3 - Portfolio ~~~~~Other Courses are included in this Coding (Computer Programming Training) Bundle~~~~~ Course 02: Computer Science With Python Course 03: Python Programming for Everybody Course 04: Create Your First Responsive Website Course 05: Ethical Hacking Course 06: Complete Web Application Penetration Testing & Security Course 07: Diploma in PHP Web Development Course 08: Front End Web Development Diploma Course 09: SQL Server for Beginners Course 10: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 11: Level 3 Cyber Security How will I get my Coding (Computer Programming) Certificate? After successfully completing the Coding (Computer Programming) bundle, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (Previously, it was £6*11 = £66) Hard Copy Certificate: Free ((Previously, it was £10) CPD 130 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Our Coding (Computer Programming) Diploma course is for anyone looking to upskill their career in any IT field. Requirements Our Coding (Computer Programming) is fully compatible with PC's, Mac's, laptops, tablets and Smartphone devices. Career path Explore diverse career opportunities with our Coding with Scratch course: Junior Software Developer: £25,000 - £35,000 Game Designer: £28,000 - £40,000 Coding Instructor: £22,000 - £30,000 Interactive Media Designer: £30,000 - £45,000 Educational Technologist: £25,000 - £38,000 App Developer: £30,000 - £50,000 Certificates Certificate of completion Digital certificate - Included You will get the Hard Copy certificate for the title course (Coding with HTML, CSS, & JavaScript) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost. Certificate of completion Digital certificate - Included

Duration 5 Days 30 CPD hours This course is intended for This course benefits individuals responsible for configuring and monitoring devices running the Junos OS. Overview After successfully completing this course, you should be able to: Describe the various OSPF link-state advertisement (LSA) types. Explain the flooding of LSAs in an OSPF network. Describe the shortest-path-first (SPF) algorithm. Describe OSPF link metrics. Describe the various OSPF authentication methods. Explain the differences between OSPFv2 and OSPFv3. Describe OSPF area types and operations. Configure various OSPF area types. Summarize and restrict routes. Configure OSPF multi-area adjacencies. Configure OSPF virtual links. Explain OSPF external reachability. List useful commands that are used to troubleshoot and verify OSPF. Isolate different OSPF issues. Describe BGP operations. Configure various BGP options. Explain the route selection process for BGP. Describe how to alter the route selection process. Explain the use of routing policies in BGP. Explain how BGP routes are processed. Describe the various BGP attributes and their use. Manipulate common BGP attributes. Review common BGP troubleshooting procedures. List common BGP troubleshooting commands. Identify issues with BGP peering. Explain reasons to use BGP in the Enterprise. Explain how ISP policies can influence external connectivity. Describe three common routing policies for external connectivity in the enterprise. Identify common commands for troubleshooting routing policy. Describe basic multicast terminology. Describe the multicast address space. Describe how RPF is used in a multicast network. Describe the basic functionality of IGMP. Describe the multicast service models and modes. Describe PIM-SM operation and configuration when using the ASM model. Describe PIM-SM operation and configuration when using the SSM model. Verify and troubleshoot multicast. Identify environments that may require a modified CoS implementation. Describe the various CoS components and their respective functions. Explain the CoS processing along with CoS defaults on SRX Series devices. Describe situations in which some CoS features are used in the enterprise. Describe the use of the Real-Time Performance Monitoring tool. Verify and troubleshoot CoS. Describe a traditional Campus network design. Understand the need for a new architectural design. Describe the five key concepts of the Evolved Core. Describe the benefits of a Layer 3-based Campus Networks. Describe Layer 2 tunneling. Explain VXLAN functionality. Describe VXLAN gateways. Describe EVPN features. Describe EVPN operations. This five-day course is designed to provide students with the tools required for implementing, monitoring, and troubleshooting Layer 3 components in an enterprise network. Chapter 1: Course Introduction Course Introduction Chapter 2: OSPF OSPFv2 Review Link-State Advertisements Protocol Operations OSPF Authentication OSPFv3 Lab 1: Configuring and Monitoring OSPF Chapter 3: OSPF Areas Review of OSPF Areas Stub Area Operation Stub Area Configuration NSSA Operation NSSA Configuration Route Summarization Lab 2: Configuring and Monitoring OSPF Areas and Route Summarization Chapter 4: Advanced OSPF Options OSPF Multi-Area Adjacencies Virtual Links External Reachability Lab 3: Configuring and Monitoring Routing Policy and Advanced OSPF Options Chapter 5: Troubleshooting Troubleshooting LSDB Consistency Issues Case Study: Adjacency Issues Lab: Troubleshooting OSPF Chapter 6: BGP Review of BGP BGP Configuration Options BGP Operations BGP Path Selection and Options Lab: Implementing BGP Chapter 7: BGP Attributes and Policy Policy and BGP BGP Attributes Details and Manipulation of Common BGP Path Attributes Lab: BGP Attributes Chapter 8: Troubleshooting BGP BGP Troubleshooting BGP Case Study Lab: Troubleshooting BGP Chapter 9: Enterprise Routing Policies Enterprise BGP Core Network Design Enterprise External Network Deployment Lab: Implementing Enterprise Routing Policies Chapter 10: Troubleshooting Policies Routing Policy Structure Using RegEx Routing Policy Troubleshooting Case Study Lab: Troubleshooting Routing Policies Chapter 11: Introduction to Multicast Overview of Multicast Multicast Addressing RPF IGMP Lab: PIM-SM Chapter 12: Multicast Routing Protocols and SSM Overview of Multicast Routing Protocols PIM-SM Using the ASM Model PIM-SM Using the SSM Model Lab: Implementing PIM-SM Lab: Implementing SSM Chapter 13: Troubleshooting Multicast Multicast Troubleshooting Multicast Case Study Lab: Troubleshooting Multicast Chapter 14: Class of Service CoS Components Review and Case Study CoS Processing and CoS Defaults on the SRX Series Device Policing Virtual Channels Monitoring with Resource Performance Monitoring Lab 9: Implementing CoS Features in the Enterprise Chapter 15: Troubleshooting Class of Service CoS Troubleshooting CoS Case Study Lab: Troubleshooting Class of Service Chapter 16: Enterprise Architectures Traditional Enterprise Networks A New Architecture Key Concepts of the Evolved Core IP Fabric Campus Design Chapter 17: VXLAN Layer 2 Connectivity over a Layer 3 Network VXLAN Overview VXLAN Gateways Chapter 18: EVPN-VXLAN Overview of EVPN EVPN Operations EVPN and VXLAN Chapter 19: Configuring EVPN-VXLAN Configuring EVPN-VXLAN Spine Only network Add IP Fabric leaf nodes to a Spine Only design Configuring a new IP Fabric EVPN-VXLAN network Chapter 20: Migrating to an IP Fabric EVPN Routes Useful EVPN Commands Appendix A: BGP Route Reflection Route Reflection Operation Configuration and Routing Knowledge Lab: BGP Route Reflection (Optional) Appendix B: Troubleshooting IS-IS IS-IS Troubleshooting Lab: Troubleshooting IS-IS and Mixed Environments Additional course details: Nexus Humans AJER - Advanced Junos Enterprise Routing training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the AJER - Advanced Junos Enterprise Routing course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.