2436 Programming courses

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“Master the integration of AI in programming with our ‘ChatGPT for Programmers’ course. Discover how ChatGPT can revolutionize your coding skills and open new horizons in software development.”

Software development training course description This three-day MTA Training course helps you prepare for Microsoft Technology Associate Exam 98-361, and build an understanding of these topics: Core programming, Object-Oriented programming, general software development, web applications, desktop applications, and databases. This course leverages the same content as found in the Microsoft Official Academic Course (MOAC) for this exam. What will you learn Describe core programming. Explain Object Oriented programming. Describe general software development. Describe Web applications. Describe desktop applications. Explain how databases work. Software development training course details Who will benefit: Anyone looking to learn the fundamentals of software. Prerequisites: None. Duration 3 days Software development training course contents Core programming Computer storage and data types How a computer stores programs and the instructions in computer memory, memory stacks and heaps, memory size requirements for the various data storage types, numeric data and textual data. Computer decision structures Various decision structures used in all computer programming languages; If decision structures; multiple decision structures, such as If…Else and switch/Select Case; reading flowcharts; decision tables; evaluating expressions. Handling repetition For loops, While loops, Do...While loops and recursion. Understand error handling Structured exception handling. Object-oriented programming Classes Properties, methods, events and constructors; how to create a class; how to use classes in code. Inheritance Inheriting the functionality of a base class into a derived class. Polymorphism Extending the functionality in a class after inheriting from a base class, overriding methods in the derived class. Encapsulation Creating classes that hide their implementation details while still allowing access to the required functionality through the interface, access modifiers. General software development Application life cycle management Phases of application life cycle management, software testing. Interpret application specifications Application specifications, translating them into prototypes, code, select appropriate application type and components. Algorithms and data structures Arrays, stacks, queues, linked lists and sorting algorithms; performance implications of various data structures; choosing the right data structure. Web applications Web page development HTML, CSS, JavaScript. ASP.NET web application development Page life cycle, event model, state management, client-side versus server-side programming. Web hosting Creating virtual directories and websites, deploying web applications, understanding the role of Internet Information Services. Web services Web services that will be consumed by client applications, accessing web services from a client application, SOAP, WSDL. Desktop applications Windows apps UI design guideline categories, characteristics and capabilities of Store Apps, identify gestures. Console-based applications Characteristics and capabilities of console- based applications. Windows Services Characteristics and capabilities of Windows Services. Databases Relational database management systems Characteristics and capabilities of database products, database design, ERDs, normalisation concepts. Database query methods SQL, creating and accessing stored procedures, updating and selecting data. Database connection methods Connecting to various types of data stores, such as flat file; XML file; in-memory object; resource optimisation.

iscover the fascinating world of Python programming as you take your first steps into the realm of coding. This course is designed to ignite your passion for programming, providing a solid foundation for beginners. Get ready to unleash your creative potential in the world of technology.

Delve into the world of data analysis with 'R Programming for Data Science,' a course designed to guide learners through the intricacies of R, a premier programming language in the data science domain. The course opens with a broad perspective on data science, illuminating the pivotal role of R in this field. Learners are then introduced to R and RStudio, equipping them with the foundational tools and interfaces essential for R programming. The curriculum progresses with an introduction to the basics of R, ensuring learners grasp the core principles that underpin more complex operations. A highlight of this course is its in-depth exploration of R's versatile data structures, including vectors, matrices, factors, and data frames. Each unit is crafted to provide learners with a comprehensive understanding of these structures, pivotal for effective data handling and manipulation. The course also emphasizes the importance of relational and logical operators in R, key elements for executing data operations. As the course advances, learners will engage with the nuances of conditional statements and loops, essential for writing efficient and dynamic R scripts. Moving into more advanced territories, the course delves into the creation and usage of functions, an integral part of R programming, and the exploration of various R packages that extend the language's capabilities. Learners will also gain expertise in the 'apply' family of functions, crucial for streamlined data processing. Further units cover regular expressions and effective strategies for managing dates and times in data sets. The course concludes with practical applications in data acquisition, cleaning, visualization, and manipulation, ensuring learners are well-prepared to tackle real-world data science challenges using R. Learning Outcomes Develop a foundational understanding of R's role in data science and proficiency in RStudio. Gain fluency in R programming basics, enabling the handling of complex data tasks. Acquire skills in managing various R data structures for efficient data analysis. Master relational and logical operations for advanced data manipulation in R. Learn to create functions and utilize R packages for expanded analytical capabilities. Why choose this R Programming for Data Science 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 R Programming for Data Science course for? Beginners in data science eager to learn R programming. Data analysts and scientists looking to enhance their skills in R. Researchers in various fields requiring advanced data analysis tools. Statisticians seeking to adopt R for more sophisticated data manipulations. Professionals in finance, healthcare, and other sectors needing data-driven insights. Career path Data Scientist (R Expertise): £30,000 - £70,000 Data Analyst (R Programming Skills): £27,000 - £55,000 Bioinformatics Scientist (R Proficiency): £35,000 - £60,000 Quantitative Analyst (R Knowledge): £40,000 - £80,000 Research Analyst (R Usage): £25,000 - £50,000 Business Intelligence Developer (R Familiarity): £32,000 - £65,000 Prerequisites This R Programming for Data Science does not require you to have any prior qualifications or experience. You can just enrol and start learning.This R Programming for Data Science 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 Unit 01: Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science? 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's next? 00:02:00 Unit 02: R and RStudio Engine and coding environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A quick tour 00:04:00 Unit 03: Introduction to Basics Arithmetic with R 00:03:00 Variable assignment 00:04:00 Basic data types in R 00:03:00 Unit 04: Vectors Creating a vector 00:05:00 Naming a vector 00:04:00 Arithmetic calculations on vectors 00:07:00 Vector selection 00:06:00 Selection by comparison 00:04:00 Unit 05: Matrices What's a Matrix? 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding columns and rows to a matrix 00:06:00 Selection of matrix elements 00:03:00 Arithmetic with matrices 00:07:00 Additional Materials 00:00:00 Unit 06: Factors What's a Factor? 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Unit 07: Data Frames What's a Data Frame? 00:03:00 Creating Data Frames 00:20:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Additional Materials 00:00:00 Unit 08: Lists Why would you need lists? 00:01:00 Creating a List 00:06:00 Selecting elements from a list 00:03:00 Adding more data to the list 00:02:00 Additional Materials 00:00:00 Unit 09: Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Additional Materials 00:00:00 Unit 10: Logical Operators AND, OR, NOT Operators 00:04:00 Logical operators with vectors and matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators together 00:06:00 Additional Materials 00:00:00 Unit 11: Conditional Statements The IF statement 00:04:00 IFELSE 00:03:00 The ELSEIF statement 00:05:00 Full Exercise 00:03:00 Additional Materials 00:00:00 Unit 12: Loops Write a While loop 00:04:00 Looping with more conditions 00:04:00 Break: stop the While Loop 00:04:00 What's a For loop? 00:02:00 Loop over a vector 00:02:00 Loop over a list 00:03:00 Loop over a matrix 00:04:00 For loop with conditionals 00:01:00 Using Next and Break with For loop 00:03:00 Additional Materials 00:00:00 Unit 13: Functions What is a Function? 00:02:00 Arguments matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing own functions 00:03:00 Functions with no arguments 00:02:00 Defining default arguments in functions 00:04:00 Function scoping 00:02:00 Control flow in functions 00:03:00 Additional Materials 00:00:00 Unit 14: R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different ways to load a package 00:02:00 Additional Materials 00:00:00 Unit 15: The Apply Family - lapply What is lapply and when is used? 00:04:00 Use lapply with user-defined functions 00:03:00 lapply and anonymous functions 00:01:00 Use lapply with additional arguments 00:04:00 Additional Materials 00:00:00 Unit 16: The apply Family - sapply & vapply What is sapply? 00:02:00 How to use sapply 00:02:00 sapply with your own function 00:02:00 sapply with a function returning a vector 00:02:00 When can't sapply simplify? 00:02:00 What is vapply and why is it used? 00:04:00 Additional Materials 00:00:00 Unit 17: Useful Functions Mathematical functions 00:05:00 Data Utilities 00:08:00 Additional Materials 00:00:00 Unit 18: Regular Expressions grepl & grep 00:04:00 Metacharacters 00:05:00 sub & gsub 00:02:00 More metacharacters 00:04:00 Additional Materials 00:00:00 Unit 19: Dates and Times Today and Now 00:02:00 Create and format dates 00:06:00 Create and format times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Additional Materials 00:00:00 Unit 20: Getting and Cleaning Data Get and set current directory 00:04:00 Get data from the web 00:04:00 Loading flat files 00:03:00 Loading Excel files 00:05:00 Additional Materials 00:00:00 Unit 21: Plotting Data in R Base plotting system 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Unit 22: Data Manipulation with dplyr Introduction to dplyr package 00:04:00 Using the pipe operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns component: mutate() 00:02:00 Columns component: relocate() 00:02:00 Rows component: filter() 00:01:00 Rows component: slice() 00:04:00 Rows component: arrange() 00:01:00 Rows component: rowwise() 00:02:00 Grouping of rows: summarise() 00:03:00 Grouping of rows: across() 00:02:00 COVID-19 Analysis Task 00:08:00 Additional Materials 00:00:00 Assignment Assignment - R Programming for Data Science 00:00:00

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Master the on-demand AutoCAD Programming by using VB.NET with the exclusive AutoCAD Programming Using VB.NET & Windows Forms course!!!

Overview This comprehensive course on PLC Programming Using Logixpro Simulator will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This PLC Programming Using Logixpro Simulator comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast-track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this PLC Programming Using Logixpro Simulator. It is available to all students, of all academic backgrounds. Requirements Our PLC Programming Using Logixpro Simulator 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 2 sections • 33 lectures • 06:34:00 total length •Module 1- Course Content: 00:02:00 •Module 2- What is LogixPro: 00:04:00 •Module 3- Overview on PLC: 00:34:00 •Module 4- Important Symbols: 00:05:00 •Module 5- Normally Opened, Normally Closed and Output Coils in Ladder Diagram: 00:14:00 •Module 6- Start Stop Circuit: 00:17:00 •Module 7- Task 1 in Batch Simulator: 00:12:00 •Module 8- Task 2 in Batch Simulator: 00:12:00 •Module 9- Task 1 in Door Simulator: 00:13:00 •Module 10- Scan Cycle and Markers: 00:10:00 •Module 11- Task 3 in Batch Simulator Part 1: 00:14:00 •Module 12- Task 3 in Batch Simulator Part 2: 00:11:00 •Module 13- Task 4 in Batch Simulator Part 1: 00:13:00 •Module 14- Task 4 in Batch Simulator Part 2: 00:09:00 •Module 15- Latched and Unlatched Output in Ladder Diagram: 00:06:00 •Module 16- Task 5 in Batch Simulatorc: 00:15:00 •Module 17- Task 6 in Batch Simulator Part 1: 00:13:00 •Module 18- Task 6 in Batch Simulator Part 2: 00:12:00 •Module 19- Timers in PLC: 00:12:00 •Module 20- Task 2 in Io Simulator: 00:08:00 •Module 21- Task 3 in Io Simulator: 00:09:00 •Module 22- Task 4 in Io Simulator: 00:08:00 •Module 23- Task 7 in Batch Simulator Part 1: 00:27:00 •Module 24- Task 7 in Batch Simulator Part 2: 00:06:00 •Module 25- Task 5 in Io Simulator: 00:15:00 •Module 26- Counters in PLC: 00:05:00 •Module 27- Task 1 in Silo Simulator: 00:23:00 •Module 28- Task 6 in Io Simulator: 00:09:00 •Module 29- Task 7 in Io Simulator: 00:08:00 •Module 30- Task 2 in Door Simulator: 00:12:00 •Module 31- Task 8 in Batch Simulator Part 1: 00:25:00 •Module 32- Task 8 in Batch Simulator Part 2: 00:11:00 •Assignment - PLC Programming Using Logixpro Simulator: 00:00:00

Learn to program with Python 3, visualize algorithms and data structures, and implement them in Python projects

Embark on your journey into the world of programming with our C# Basics course, designed to take you from a complete beginner to a confident coder. In this course, you'll be introduced to the fundamentals of C#, one of the most popular and versatile programming languages in the world. Starting with the basics, you'll learn to create console applications, write your first projects, and understand the syntax of C#. Explore essential concepts like data types, operators, decision-making, and loops, and practice your newfound skills with real-world examples. Whether you're an aspiring developer, a tech enthusiast, or someone eager to understand the foundations of programming, this course provides a solid platform to kickstart your coding journey. Learning Outcomes Master the fundamentals of C# programming. Create basic console applications and projects. Understand the syntax and structure of C# code. Explore data types and operators for coding flexibility. Learn decision-making techniques and the power of loops. Why choose this C# Basics 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# Basics course for? Aspiring programmers eager to learn the foundations of C#. Tech enthusiasts interested in coding and software development. Individuals looking to kickstart their careers in programming. Anyone seeking to understand the basics of the C# programming language. Students and learners with a passion for technology and coding. Career path Junior Software Developer: £20,000 - £40,000 Web Developer: £22,000 - £45,000 Software Engineer: £25,000 - £50,000 Application Developer: £22,000 - £45,000 Database Developer: £22,000 - £45,000 IT Support Specialist: £18,000 - £35,000 Prerequisites This C# Basics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This C# Basics 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 C# Basics Section 1: Introduction & Getting Started Unit 1: Introduction 00:03:00 Unit 2: Instructor's Introduction 00:03:00 Unit 3: Downloading and Installing Microsoft Visual Studio 00:04:00 Unit 4: Basics + Create Your First Project 00:07:00 Section 2: Basic Input/Output Console Applications Unit 1: Basic Input and Output Using Console Methods 00:10:00 Section 3: Coding Your First Project Unit 1: Coding Your First Project 00:09:00 Unit 2: String Arguments Explained 00:08:00 Section 4: Syntax Basics Unit 1: Syntax Basics 00:06:00 Section 5: Data Types Unit 1: Data Types 00:10:00 Unit 2: Type Conversion 00:08:00 Section 6: Operators Unit 1: Operators 00:14:00 Unit 2: Operators Example 00:08:00 Section 7: Practice Example Unit 1: Calculate My age App 00:08:00 Section 8: Decision Making Using If Statement Unit 1: If statement 00:05:00 Unit 2: If Else + Nested If 00:10:00 Section 9: Decision Making Using Switch Case Unit 1: Switch Case 00:10:00 Section 10: Loops Unit 1: While Loop + Do While 00:12:00 Unit 2: For Loop 00:07:00 Assignment Assignment - C# Basics 00:00:00