965 Programming Languages courses delivered Online

Embark on a journey into the captivating realm of blockchain technology with our comprehensive course on Ethereum Blockchain DApp using Solidity. Dive into a world where innovation meets practicality, where the Ethereum ecosystem unfolds its potential, and where your skills take flight. Explore the dynamic landscape of Ethereum, from understanding its fundamental concepts to deploying and maintaining Ethereum apps with finesse. Stay ahead of the curve as you grasp the nuances of blockchain technology and harness its power to build decentralised applications that redefine possibilities. Unlock the secrets of Ethereum as you delve into its core, learning about smart contracts, Ethereum wallets, and the intricacies of blockchain development tools. Stay updated with the latest Ethereum news and predictions, understanding how Ethereum value influences global markets, including Ethereum price UK trends and Ethereum price predictions. Through hands-on exploration, navigate the Ethereum development lifecycle confidently, from conceptualisation to integration, testing to deployment. Witness the synergy between blockchain and non-blockchain applications, broadening your horizons and enhancing your skill set. Learning Outcomes: Grasp the fundamental concepts of what is blockchain technology and its applications, including Ethereum's role in revolutionising decentralised ecosystems. Develop proficiency in Solidity programming language and understand the Ethereum development lifecycle, from ideation to deployment. Gain practical experience in building Ethereum-based decentralised applications (DApps) and smart contracts. Acquire essential skills in testing, deploying, and maintaining Ethereum apps, ensuring their seamless integration into real-world scenarios. Stay informed about Ethereum news, price fluctuations, and market predictions, enabling informed decision-making in blockchain development ventures. Why buy this Ethereum Blockchain DApp using Solidity 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. Certification After studying the course materials of the Ethereum Blockchain DApp using Solidity there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Ethereum Blockchain DApp using Solidity course for? Aspiring blockchain developers eager to master Ethereum and Solidity. Tech enthusiasts interested in exploring the dynamic world of decentralised applications. Students seeking to enhance their knowledge of blockchain technology for academic or career advancement. Entrepreneurs aiming to leverage blockchain for innovative business solutions. Professionals in IT, finance, or related fields looking to diversify their skill set with blockchain expertise. Prerequisites This Ethereum Blockchain DApp using Solidity does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Ethereum Blockchain DApp using Solidity 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. Career path Blockchain Developer: £40,000 - £80,000 per annum Ethereum Developer: £45,000 - £90,000 per annum Smart Contract Developer: £50,000 - £95,000 per annum Blockchain Analyst: £35,000 - £70,000 per annum Cryptocurrency Consultant: £45,000 - £85,000 per annum Blockchain Project Manager: £55,000 - £100,000 per annum Course Curriculum Section 01: What is Blockchain? Introduction to Building an Ethereum Blockchain App 00:02:00 The Beginning of Blockchain 00:05:00 Currency and Cryptocurrency 00:05:00 Why Use the Blockchain? 00:06:00 Blockchain Data and Blocks 00:06:00 Blockchain Immutability 00:03:00 Blockchain Consensus 00:02:00 Building the Blockchain Story 00:03:00 Hashes 00:06:00 What is a Chain of Blocks? 00:04:00 Finding the Nonce 00:05:00 Blockchain Mining 00:03:00 Arriving at Consensus 00:05:00 Public vs. Private Blockchains 00:03:00 Distributed Processing and Blockchain Solutions 00:06:00 Section 02: What is Ethereum? Introduction to Ethereum 00:03:00 Ethereum in Financial Services 00:07:00 Ethereum in Digital Identity Management 00:05:00 Ethereum in Industry Applications 00:06:00 Ethereum in Government 00:03:00 Ethereum Smart Contracts 00:03:00 Ether and the Initial Coin Offering (ICO) 00:06:00 Decentralized Autonomous Organization (DAO) 00:03:00 The Ethereum Ecosystem 00:06:00 Building Blockchain Apps 00:05:00 Section 03: The Ethereum Ecosystem & the Development Lifecycle Parts of the Ethereum Blockchain 00:11:00 Smart Contracts 00:05:00 Smart Contract Languages 00:04:00 What are Virtual Machines? 00:06:00 The Ethereum Virtual Machine (EVM) 00:03:00 Fueling Your Code with Gas 00:05:00 Tools for Ethereum SDLC 00:03:00 Blockchain Client 00:03:00 Writing and Testing Your Code, Part 1 00:05:00 Writing and Testing Your Code, Part 2 00:07:00 Section 04: Ethereum Development Tools Your Ethereum Development Toolbox 00:04:00 Installing Geth Lab (CLI Blockchain Client) 00:04:00 Installing Ganache Lab (Test Blockchain) 00:06:00 Installing Truffle Lab (Development Environment and Testing Framework) 00:06:00 Installing Microsoft Visual Studio Code Lab (IDE) 00:05:00 Section 05: Your Ethereum Wallet What is an Ethereum Wallet? 00:02:00 Types of Ethereum Wallets 00:06:00 Web and Desktop Wallets 00:07:00 Mobile, Hardware, and Paper Wallets 00:09:00 Installing MetaMask 00:05:00 Section 06: Building Your First Ethereum App Preparing Your First Truffle Project 00:07:00 Writing a Simple Smart Contract 00:11:00 Compiling Your Simple Smart Contract 00:10:00 Deploying Code and Invoking Functions 00:09:00 Section 07: Learning about Smart Contracts Smart Contracts Review 00:03:00 What is Supply Chain? 00:07:00 Supply Chain Challenges and Blockchain Solutions 00:07:00 Blockchain Solution Examples 00:04:00 Ethereum Tokens 00:06:00 Your Supply Chain Project 00:08:00 Exploring Solidity 00:11:00 Defining Types of Data 00:05:00 Data Types Lab 00:09:00 Solidity Data Modifiers, Part 1 00:04:00 Solidity Data Modifiers, Part 2 00:06:00 Revisiting Gas 00:06:00 Controlling Flow 00:12:00 Handling Errors 00:05:00 Section 08: Your SuSection 08: Your Supply Chain Smart Contract dApppply Chain Smart Contract dApp Designing Your Supply Chain App 00:04:00 What are dApps? 00:06:00 Token Smart Contract Details 00:08:00 Supply Chain Smart Contract Details 00:06:00 Smart Contract Road Map 00:02:00 Token Smart Contract Data Lab, Part 1 00:07:00 Token Smart Contract Data Lab, Part 2 00:09:00 Supply Chain Smart Contract Functions Lab, Part 1 00:10:00 Supply Chain Smart Contract Functions Lab, Part 2 00:09:00 Token Smart Contract Functions Lab, Part 1 00:05:00 Token Smart Contract Functions Lab, Part 2 00:04:00 Supply Chain Smart Contract Functions Lab, Part 1 00:10:00 Supply Chain Smart Contract Functions Lab, Part 2 00:09:00 Using Events 00:07:00 Implementing Events 00:05:00 More on Ownership 00:08:00 Designing for Security 00:09:00 Implementing Minimal Functionality 00:06:00 Section 09: Testing Ethereum Apps Blockchain dApp Testing 00:10:00 Deploying Your dApp to a Test Blockchain Lab 00:08:00 Writing Tests for Ethereum dApps 00:06:00 Command-Line Testing Lab, Part 1 00:04:00 Command-Line Testing Lab, Part 2 00:11:00 Command-Line Testing Lab, Part 3 00:03:00 JavaScript Testing 00:08:00 Logging and Handling Errors 00:07:00 Logging Activity in Smart Contracts 00:05:00 Fixing Bugs in a dApp 00:05:00 Section 10: Deploying and Maintaining Ethereum Apps Test Blockchains 00:08:00 The Live Blockchain (Mainnet) 00:05:00 Connecting to Multiple Blockchains and Infura Lab 00:05:00 Configuring Truffle and Infura Lab 00:06:00 Funding Your Account Lab 00:04:00 Deploying to the Live Blockchain 00:08:00 Section 11: Integrating Non-Blockchain Apps with Ethereum Blockchain and Database Storage 00:11:00 Execution and Flow in dApps and Traditional Applications 00:05:00 Blockchain Incorporation Design Goals 00:06:00 Integration Considerations for Incorporating Blockchain 00:06:00 Interface Considerations for Incorporating Blockchain 00:04:00 Resources Resources - Ethereum Blockchain DApp using Solidity 00:00:00

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

Duration 5 Days 30 CPD hours This course is intended for This course is intended for IT Professionals who are already experienced in general Windows Server and Windows Client administration, and who want to learn more about using Windows PowerShell for administration. No prior experience with any version of Windows PowerShell, or any scripting language, is assumed. This course is also suitable for IT Professionals already experienced in server administration, including Exchange Server, SharePoint Server, SQL Server, System Center, and others. Overview After completing this course, students will be able to:Describe the functionality of Windows PowerShell and use it to run and find basic commands.Identify and run cmdlets for server administration.Work with Windows PowerShell pipeline.Describe the techniques Windows PowerShell pipeline uses.Use PSProviders and PSDrives to work with other forms of storage.Query system information by using WMI and CIM.Work with variables, arrays, and hash tables.Write basic scripts in Windows PowerShell.Write advanced scripts in Windows PowerShell.Administer remote computers.Use background jobs and scheduled jobs.Use advanced Windows PowerShell techniques. This course provides students with the fundamental knowledge and skills to use Windows PowerShell for administering and automating administration of Windows based servers. Getting Started with Windows PowerShell Overview and Background Understanding command syntax Finding commands Lab : Configuring Windows PowerShell Lab : Finding and Running Basic Commands Cmdlets for administration Active Directory administration cmdlets Network configuration cmdlets Other server administration cmdlets Lab : Windows Administration Working with the Windows PowerShell pipeline Understanding the Pipeline Selecting, Sorting, and Measuring Objects Filtering Objects Out of the Pipeline Enumerating Objects in the Pipeline Sending pipeline data as output Lab : Using the Pipeline Lab : Filtering Objects Lab : Enumerating Objects Lab : Sending output to a file Understanding How the Pipeline Works Passing the pipeline data Advanced considerations for pipeline data Lab : Working with Pipeline Parameter Binding Using PSProviders and PSDrives Using PSProviders Using PSDrives Lab : Using PSProviders and PSDrives Querying Management Information by Using WMI and CIM Understanding WMI and CIM Querying Data with WMI and CIM Making changes with WMI/CIM Lab : Working with WMI and CIM Working with variables, arrays, and hash tables Using variables Manipulating variables Manipulating arrays and hash tables Lab : Working with variables Basic scripting Introduction to scripting Scripting constructs Importing data from files Lab : Basic scripting Advanced scripting Accepting user input Overview of script documentation Troubleshooting and error handling Functions and modules Lab : Accepting data from users Lab : Implementing functions and modules Administering Remote Computers Using basic Windows PowerShell remoting Using advanced Windows PowerShell remoting techniques Using PSSessions Lab : Using basic remoting Lab : Using PSSessions Using Background Jobs and Scheduled Jobs Using Background Jobs Using Scheduled Jobs Lab : Using Background Jobs and Scheduled Jobs Using advanced Windows PowerShell techniques Creating profile scripts Using advanced techniques Lab : Practicing advanced techniques Lab : Practicing script development (optional)

Duration 2 Days 12 CPD hours This course is intended for This course is intended for SQL Server administrators who work in a Windows network environment. At least one year of experience administering SQL Servers and using PowerShell is recommended. Overview After completing this course, students will be able to: •Install and Configure SQL Server and all its components using PowerShell •Manage day-to-day SQL Server Administration with PowerShell •Maintain the SQL Server environment using PowerShell scripting and programming options This course provides candidates with the knowledge and skills needed to use PowerShell for SQL Server administration. Students will learn how to manage day-to-day and scheduled maintenance tasks. Install and Configure SQL Server with PowerShell Install SQL Server Configure Database Settings Configure SQL Server Settings Configure SQL Server Policy-Based Management Lab 1: Configuring SQL Server with PowerShell Administering SQL Servers with PowerShell Managing Users and Roles Managing Database Performance Managing Database Availability Managing SQL Server Features Lab 1: Administering SQL Servers with PowerShell Maintaining SQL Server with PowerShell Managing Backups and Restores Maintaining Database Integrity and Performance Monitoring and Auditing Task Automation Generating Reports Lab 1: Maintaining SQL Servers with PowerShell

Duration 5 Days 30 CPD hours This course is intended for This course is intended for IT Professionals who are already experienced in general Windows Server and Windows Client administration, and who want to learn more about using Windows PowerShell for administration. No prior experience with any version of Windows PowerShell, or any scripting language, is assumed. This course is also suitable for IT Professionals already experienced in server administration, including Exchange Server, SharePoint Server, SQL Server, System Center, and others. Overview After completing this course, students will be able to: Describe the functionality of Windows PowerShell and use it to run and find basic commands. Identify and run cmdlets for server administration. Work with Windows PowerShell pipeline. Describe the techniques Windows PowerShell pipeline uses. Use PSProviders and PSDrives to work with other forms of storage. Query system information by using WMI and CIM. Work with variables, arrays, and hash tables. Write basic scripts in Windows PowerShell. Write advanced scripts in Windows PowerShell. Administer remote computers. Use background jobs and scheduled jobs. Use advanced Windows PowerShell techniques. This course provides students with the fundamental knowledge and skills to use Windows PowerShell for administering and automating administration of Windows based servers. Getting Started with Windows PowerShell Overview and Background Understanding command syntax Finding commands Lab : Configuring Windows PowerShell Lab : Finding and Running Basic Commands Cmdlets for administration Active Directory administration cmdlets Network configuration cmdlets Other server administration cmdlets Lab : Windows Administration Working with the Windows PowerShell pipeline Understanding the Pipeline Selecting, Sorting, and Measuring Objects Filtering Objects Out of the Pipeline Enumerating Objects in the Pipeline Sending pipeline data as output Lab : Using the Pipeline Lab : Filtering Objects Lab : Enumerating Objects Lab : Sending output to a file Understanding How the Pipeline Works Passing the pipeline data Advanced considerations for pipeline data Lab : Working with Pipeline Parameter Binding Using PSProviders and PSDrives Using PSProviders Using PSDrives Lab : Using PSProviders and PSDrives Querying Management Information by Using WMI and CIM Understanding WMI and CIM Querying Data with WMI and CIM Making changes with WMI/CIM Lab : Working with WMI and CIM Working with variables, arrays, and hash tables Using variables Manipulating variables Manipulating arrays and hash tables Lab : Working with variables Basic scripting Introduction to scripting Scripting constructs Importing data from files Lab : Basic scripting Advanced scripting Accepting user input Overview of script documentation Troubleshooting and error handling Functions and modules Lab : Accepting data from users Lab : Implementing functions and modules Administering Remote Computers Using basic Windows PowerShell remoting Using advanced Windows PowerShell remoting techniques Using PSSessions Lab : Using basic remoting Lab : Using PSSessions Using Background Jobs and Scheduled Jobs Using Background Jobs Using Scheduled Jobs Lab : Using Background Jobs and Scheduled Jobs Using advanced Windows PowerShell techniques Creating profile scripts Using advanced techniques Lab : Practicing advanced techniques Lab : Practicing script development (optional)

This Diploma in Computer Science and Programming is designed to prepare you for a career as a computer programmer/programmer analyst. The course emphasises programming skills, program design techniques as well as database and systems analysis skills. You will learn the process of program design to solve real-world problems and the fundamental building blocks of a computer program. By the end of this course, you will be able to develop computer programs in a high-level computer programming language (such as Python). Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays 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 Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £99. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment In order to ensure the Quality Licensing scheme endorsed and CPD acknowledged certificate, learners need to score at least 60% pass marks on the assessment process. After submitting assignments, our expert tutors will evaluate the assignments and give feedback based on the performance. After passing the assessment, one can apply for a certificate. Who is this course for? Diploma in Computer Science and Programming is suitable for anyone who wants to gain extensive knowledge, potential experience and expert skills in the related field. This is a great opportunity for all students from any academic backgrounds to learn more on this subject.

Unleash your data superpowers! Join our SQL Bootcamp: Database, Python & Javascript Training and go from zero to hero in record time. Did you know that SQL Training course are now among the top skills in demand worldwide? With the help of our SQL training course, you will learn how to write the same language as thousands of database experts. Enrol in this SQL course to learn how to handle huge datasets and evaluate actual data. This SQL training course is designed for students who want to become more proficient with SQL queries. You will learn about subjects including SQL fundamentals, environment setup, SQL analysis, building databases and tables, statements, and more with this package. What Courses You'll Get? Course 01: The Complete SQL from Scratch: Bootcamp Course 02: Python from Scratch Course 03: Javascript Programming for Beginners Learning Outcomes of SQL Training course Get introduced to the basics of SQL and environment setup. Learn how to create a database and table. Explore the statement basics and how to group them. Discover the most demanding programming language, Python, from scratch. Understand the fundamentals of Javascript. Key Highlights of the SQL Course: Lifetime Access to All SQL Learning Resources An Interactive, Online SQL Course Created By Experts in the SQL Field Self-Paced SQL courseand 24/7 Learning Support Free Certificate After SQL Course Completion SQL Bootcamp: Python, JavaScript, and Database Training Curriculum Breakdown: Course 01: The Complete SQL from Scratch: Bootcamp SQL Introduction Environment Setup Creating Database and Tables Statement Basics GROUP BY Statements JOINS Advanced Commands Databases and Tables Course 02: Python from Scratch Python Introduction Python Curriculum Overview Python Whats New Command line basics in python python installation Pycham-ce ide installation Setting up environment Running python code and more... Course 03: Javascript Programming for Beginners Introduction Project Files What is JavaScript? Running JS Code Variables Arithmetic Operators Conditional Statement and more... CPD 15 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This SQL course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in SQL. It is also great for professionals who are already working in SQL and want to get promoted at work. Career path Query Language Developer Server Database Manager SQL Database Administrator Python Developer Technical Consultant Project Implementation Manager Software Developer (SQL) Certificates 3 CDP Accerdited HARDCOPY Certificate Hard copy certificate - Included 3 CDP Accerdited HARDCOPY Certificate for Free. Delivery Charge: Inside the UK: £3.99 Outside UK: £9.99 3 CDP Accerdited PDF Certificate Digital certificate - Included 3 CDP Accerdited PDF Certificate for Free

SQL programming is the programming that manages data in the Relational Database Management System. The Mastering SQL Programming course aims to teach you how to optimise the accessibility and maintenance of data with the Structured Query Language SQL programming language, and gain a solid foundation for building, querying, and manipulating databases. This SQL Programming course will provide you the standard language, but also identifies deviations from the standard in two widely-used database products, Oracle and Microsoft SQL Server. You will understand SQL functions, join techniques, database objects and constraints, and will be able to write useful SELECT, INSERT, UPDATE and DELETE statements. Learn what SQL is and how to create, manipulate, and create reports from database tables from the best SQL courses. Important concepts associated with relational databases will be covered. You will run SQL commands to create database tables and define data element types. Enrol Now to start boosting your SQL skills! Key topics to be covered Stored Procedures Returning Data Testing and Debugging SQL CLR Code Dynamic SQL Column sets Learning Outcomes Know the tools for creating views with examples, columns and indexed views, creating stored procedures, testing and debugging. Learn how to create triggers, execute with result sets, use inline table valued functions, and use the multi statement function. Learn about transaction concepts, explicit transactions, and structured error handling. Understanding of different functions, data tools, database management, comparing database schemas, offline database management and much more. Master partitioning, managing partitions, querying partitions, complex querying, table expressions, efficient queries and complex queries. Why Choose this Course Earn a digital Certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays 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 supplies Mock tests Multiple-choice evaluation Assignment Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £119. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate of Achievement from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment To successfully complete the course, students will have to take an automated multiple-choice exam. This exam will be online and you will need to score 60% or above to pass the course. After successfully passing the exam, you will be able to apply for Quality Licence Scheme endorsed certificate of achievement. To verify your enhanced skills in the subject, we recommend that you also complete the assignment questions. These can be completed at any time which is convenient for yourself and will be assessed by our in-house specialised tutors. Full feedback will then be given on your current performance, along with any further advice or support. Who is this course for? Anyone who wants to gain extensive knowledge, potential experience and expert skills in SQL programming. Those who have an interest in production planning. Students from any academic backgrounds

The course covers data science and machine learning with R.

You will learn everything you need to know about JavaScript in this course.