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***24 Hour Limited Time Flash Sale*** Learn C++ Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Are you a professional feeling stuck in your career, struggling to keep up with the ever-changing demands of the industry? Or perhaps you're a beginner, unsure of where to start or how to break into your desired field. Whichever stage you're in, our exclusive Learn C++ from Scratch: The Complete Coding Guide Bundle provides unique insights and tools that can help you achieve your goals. Designed to cater to the needs of both seasoned professionals and aspiring newcomers, our Learn C++ from Scratch: The Complete Coding Guide bundle is a comprehensive program that will equip you with the essential skills and knowledge you need to succeed. Whether you're looking to advance in your current role or embark on a new career journey, this bundle has everything you need to take your professional life to the next level. 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Dive into the heart of programming with our course, 'C++ Development: The Complete Coding Guide,' where coding becomes an art and a language in itself. From setting up your development environment to exploring advanced concepts like classes and file I/O, this course is your gateway to mastering the intricate world of C++. Each section unfolds a new layer, unraveling the mystery behind operators, functions, and the mighty preprocessor. It's not just about learning syntax; it's about crafting elegant and efficient code that speaks the language of innovation. Join us on this coding adventure, where your journey from a novice to a C++ maestro awaits! Learning Outcomes Master the fundamentals of C++ programming, from setup to advanced data types. Explore the intricacies of operators, string streams, and control flow statements. Develop a deep understanding of functions and their role in code efficiency. Delve into advanced concepts like classes, file I/O, and the powerful preprocessor. Hone your coding skills with practical exercises and real-world applications. Why choose this C++ Development: The Complete Coding Guide course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Who is this C++ Development: The Complete Coding Guide course for? Aspiring programmers eager to delve into the world of C++ development. Students pursuing computer science or related disciplines. Professionals looking to enhance their coding expertise. Tech enthusiasts curious about the inner workings of C++. Anyone seeking a dynamic skill set in the competitive world of programming. Career path Junior C++ Developer: £25,000 - £35,000 Software Engineer: £30,000 - £45,000 Senior C++ Programmer: £40,000 - £60,000 System Architect: £50,000 - £70,000 Technical Lead: £60,000 - £80,000 Chief Technology Officer (CTO): £80,000 and above Prerequisites This C++ Development: The Complete Coding Guide does not require you to have any prior qualifications or experience. You can just enrol and start learning.This C++ Development: The Complete Coding Guide 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. Course Curriculum Section 01: Introduction & Setting Up Introduction 00:04:00 What Is C++? 00:03:00 Setting up A Project 00:07:00 Section 02: Basics Console Out 00:04:00 Data Types 00:03:00 Variables 00:04:00 Console In 00:03:00 Strings 00:04:00 Constants 00:05:00 Section 03: Operators Assignment Operator 00:03:00 Arithmetic Operators 00:04:00 Compound Assignment Operator 00:03:00 Increment & Decrement Operators 00:04:00 Relation & Comparison Operators 00:06:00 Logical Operators 00:07:00 Conditional Ternary Operator 00:04:00 Comma Operator 00:03:00 Type Casting Operator 00:02:00 Bitwise Operators 00:12:00 Size of Operator 00:03:00 Operator Precedence 00:05:00 Section 04: String Streams String Streams 00:04:00 Section 05: Statements & Loops Conditional Statements 00:07:00 For Loop 00:04:00 While Loop 00:03:00 Do While Loop 00:04:00 Range-Based For Loop 00:03:00 GoTo Statement 00:04:00 Switch Statement 00:05:00 Section 06: Functions Functions 00:03:00 Function Return Statement 00:04:00 Function Arguments Passed By Value 00:05:00 Function Arguments Passed By Reference 00:05:00 Function Parameter Default Values 00:03:00 Overloaded Functions 00:04:00 Function Templates 00:04:00 Namespaces 00:06:00 Section 07: Advanced Data Types Arrays 00:03:00 Multidimensional Arrays 00:03:00 References 00:02:00 Pointers 00:04:00 Delete Operator 00:02:00 Struct 00:04:00 Type Aliasing 00:03:00 Unions 00:04:00 Enumerators 00:04:00 Section 08: Classes Introduction to Classes 00:05:00 Class Access 00:04:00 Class Constructor 00:05:00 Class Pointers 00:04:00 Overloading Operators 00:06:00 This Keyword 00:04:00 Constant Objects 00:03:00 Getters and Setters 00:05:00 Static Variables 00:04:00 Static Functions 00:06:00 Template Classes 00:05:00 Class Destructor 00:04:00 Class Copy Constructor 00:03:00 Friend Function 00:06:00 Friend Class 00:06:00 Class Inheritance 00:07:00 Multiple Class Inheritance 00:05:00 Virtual Methods 00:04:00 Abstract Base Class 00:03:00 Section 09: Errors Error Handling 00:04:00 Section 10: The Mighty Preprocessor Preprocessor Macro Definitions 00:04:00 Preprocessor Conditional Directives 00:05:00 Preprocessor Line Directive 00:04:00 Preprocessor Error Directive 00:03:00 Preprocessor Source File Inclusion 00:02:00 Section 11: File I/O Opening A File 00:06:00 Writing to a File 00:04:00 Section 12: Extras Commenting 00:04:00 Class Header and Implementation 00:09:00 Lists 00:04:00 Vectors 00:05:00 Resource Resource - C++ Development: The Complete Coding Guide 00:00:00 Assignment Assignment - C++ Development: The Complete Coding Guide 00:00:00

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

[vc_row][vc_column][vc_column_text] Description: This Python Basic to Advanced for Data Science Online Course is a great way to get started in programming. It covers the study of the Python language used to build most of the world's object-oriented systems. The course is for interested students with a good level of computer literacy who wish to acquire programming skills. It is also ideal for those who wish to move to a developer role or areas such as software engineering. This is a great course to develop your coding skills. This Python Basic to Advanced for Data Science Online Course is an ideal preliminary to the Object-Oriented Programming using Python. Join the course now! Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Certification: After completing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.[/vc_column_text][/vc_column][/vc_row] Python 3 Beginners Module 01 Introduction FREE 00:29:00 Starter Examples 00:33:00 Learning C Concepts 00:13:00 Module 02 Data Types and Inference 00:20:00 Sizeof and IEEE 754 00:33:00 Constants L and R Values 00:11:00 Operators and Precedence 00:25:00 Literals 00:26:00 Module 03 Classes and Structs FREE 00:22:00 Enums 00:14:00 Unions 00:16:00 Introduction to Pointers 00:11:00 Pointers and Array Indexing 00:12:00 Using Const with Pointers 00:09:00 Pointers to String Literals 00:12:00 References 00:14:00 Smart Pointers 00:22:00 Arrays 00:15:00 Standard Library Strings 00:13:00 More Standard Library Strings 00:18:00 Functions 00:06:00 More Functions 00:16:00 Function Pointers 00:15:00 Control Statements 00:18:00 Python 3 Intermediate Module 04 Installing Python FREE 00:17:00 Documentation 00:30:00 Command Line 00:17:00 Variables 00:29:00 Simple Python Syntax 00:15:00 Keywords 00:18:00 Import Module 00:17:00 Additional Topics 00:23:00 Module 05 If Elif Else 00:31:00 Iterable 00:10:00 For 00:11:00 Loops 00:20:00 Execute 00:05:00 Exceptions 00:18:00 Data Types 00:24:00 Module 06 Number Types 00:28:00 More Number Types 00:13:00 Strings 00:20:00 More Strings 00:11:00 Files 00:08:00 Lists 00:15:00 Dictionaries 00:04:00 Tuples 00:07:00 Sets 00:09:00 Module 07 Comprehensions 00:10:00 Definitions 00:02:00 Functions 00:06:00 Default Arguments 00:06:00 Doc Strings 00:06:00 Variadic Functions 00:07:00 Factorial 00:07:00 Function Objects 00:07:00 Module 08 Lambda 00:11:00 Generators 00:06:00 Closures 00:10:00 Classes 00:09:00 Object Initialization 00:05:00 Class Static Members 00:07:00 Classic Inheritance 00:10:00 Data Hiding 00:07:00 Python 3 Advanced Iterators and Generators FREE 00:16:00 Regular Expressions 00:19:00 Introspection and Lambda Functions 00:27:00 Metaclasses and Decorators 00:24:00 Modules and Packages 00:25:00 Working with APIs 00:15:00 Metaprogramming Primer 00:19:00 Decorators and Monkey Patching 00:21:00 XML and JSON Structure 00:10:00 Generating XML and JSON 00:17:00 Parsing XML and JSON 00:19:00 Implementing Algorithms 00:19:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

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Course Overview The immune system plays a vital role in the human body. It is crucial for fighting against disease, bacteria, viruses, and even cancers. The Learn How to Boost your Immune System course will deepen your understanding of how the immune system functions and why it is so important for your overall health and wellbeing. It will teach you the different ways to boost your immune health, from detoxifying the body, to incorporating supplements into your diet. Through this course, you will also explore the different lifestyle habits that can compromise your immune health, such as lack of sleep and exercise. On completion, you will have the practical and scientific knowledge to boost your immune function to build maximum resilience against nasty diseases and infections. This best selling Learn How to Boost your Immune System has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Learn How to Boost your Immune System is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Learn How to Boost your Immune System is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Learn How to Boost your Immune System is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Learn How to Boost your Immune System, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Learn How to Boost your Immune System will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Learn How to Boost your Immune System to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

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