5243 Writing courses in Carmarthen delivered Online

Unlock the world of programming excellence with our 'Diploma in Python Programming' course. In this dynamic learning journey, you'll delve into the fundamental concepts of Python and emerge as a proficient Python programmer. Whether you're a novice or have some prior coding experience, this course caters to all levels of learners. You'll start with the basics, gradually working your way up to complex Python operations, data structures, and even creating a fun Rock, Paper, and Scissors project. By the end of this course, you'll have a strong grip on Python, be able to write user functions, handle exceptions, explore databases, and much more. Take your first step towards becoming a skilled Python programmer and discover the endless possibilities this versatile language offers. Learning Outcomes Master the foundational concepts of Python programming. Develop essential skills in working with strings, dates, and files using Python. Create user functions, handle exceptions, and install packages. Explore database management using SQLite and interact with the operating system. Gain the knowledge and confidence to run Python programs in different environments, including Jupyter Notebook. Why choose this Python Programming Diploma? 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 Python Programming Diploma for? Aspiring programmers looking to kickstart their coding journey. Professionals seeking to expand their skill set and explore Python. Students aiming to excel in programming and computer science. Anyone curious about the power and versatility of Python as a programming language. Career path Python Programmer: £25,000 - £70,000 Data Analyst: £30,000 - £60,000 Web Developer: £25,000 - £50,000 Software Engineer: £35,000 - £80,000 Machine Learning Engineer: £40,000 - £90,000 Data Scientist: £40,000 - £70,000 Prerequisites This Diploma in Python Programming does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Diploma in Python Programming 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: Introduction to Python Programming Module 01: Course Introduction 00:02:00 Unit 02: Getting Started with Python Module 01: Software Installation 00:02:00 Module 02: Hello World Program 00:06:00 Module 03: Input and Output 00:07:00 Module 04: Calculating Average of 5 Numbers 00:03:00 Unit 03: Conditional Branching with Python Module 01: If Loop In Python 00:06:00 Module 02: Program Using If Else part 1 00:03:00 Module 03: Program Using If Else part 2 00:08:00 Module 04: Program for Calculator 00:02:00 Module 05: Program Using For Loop 00:08:00 Module 06: For Table 00:05:00 Module 07: For loop and Mathematical Operator in Python 00:04:00 Module 08: Factorial of Number Using Python 00:06:00 Module 09: Program Using While 00:05:00 Module 10: While Loop Example 00:07:00 Module 11: Tasks for Practice 00:02:00 Unit 04: Importing external/internal library in python Module 01: Importing Library in Python 00:07:00 Unit 05: Project Rock Paper and Scissors Module 01: Rock Paper and Scissor Game 00:06:00 Unit 06: Strings Operation in Python Module 01: Program Using String part 1 00:05:00 Module 02: Program using String 2 00:06:00 Module 03: Program Using String 3 00:06:00 Module 04: Program Using String part 4 00:03:00 Unit 07: Date and time in Python Module 01: Use of Date and Time part 1 00:05:00 Module 02: Use of Date and Time part 2 00:05:00 Unit 08: File Handling, read and write using Python Module 01: File Handling Part 1 00:08:00 Module 02: File Handling Part 2 00:07:00 Unit 09: Data Storage Structures, Tuple, List and Dictionary Module 01: Tuple in Python Part 1 00:10:00 Module 02: Tuple in Python Part 2 00:07:00 Module 03: Using Lists part 1 00:07:00 Module 04: Using List part 2 00:12:00 Module 05: Using Lists part 3 00:06:00 Module 06: Using Lists part 4 00:08:00 Module 07: Using Lists part 5 00:02:00 Module 08: Use of Dictionary Part 1 00:04:00 Module 09: Use of Dictionary Part 2 00:05:00 Module 10: Use of Dictionary Part 3 00:08:00 Module 11: Use of Dictionary Part 4 00:07:00 Unit 10: Writing user functions in Python Module 01: Function in Python Part 1 00:06:00 Module 02: Function in Python Part 2 00:05:00 Module 03: Function in Python Part 3 00:04:00 Module 04: Function in Python Part 4 00:07:00 Module 05: Function in Python Part 5 00:08:00 Unit 11: Sending mail Module 01: Send Email 00:09:00 Unit 12: Import Tricks in Python Module 01: Import Study part 1 00:07:00 Module 02: Import Study part 2 00:03:00 Unit 13: Import Operating System and Platform Module 01: Importing OS 00:06:00 Module 02: Import Platform 00:05:00 Unit 14: Exceptions handling in python Module 01: Exception in Python part 1 00:11:00 Module 02: Exception in Python part 2 00:07:00 Module 03: Exception in Python part 3 00:05:00 Unit 15: Installing Packages and Scheduling In Python Module 01: Installing Packages using built in package manager 00:08:00 Module 02: Scheduler in Python 00:05:00 Unit 16: Data Base In Python using sqlite Module 01: Data Base 1 00:08:00 Module 02: Data Base 2 00:09:00 Module 03: Data Base 3 00:08:00 Module 04: Data base 4 00:07:00 Module 05: Data Base 5 00:06:00 Unit 17: Running Program from Command Prompt and jupyter Notebook Module 01: IDE_1 00:05:00 Module 02: IDE_2 00:07:00 Unit 18: Conclusion Module 01: Conclusion 00:02:00 Resources Resources - Diploma in Python Programming 00:00:00 Assignment Assignment - Diploma in Python Programming 00:00:00 Recommended Materials Workbook - Diploma in Python Programming 05:14:00

Step into innovation and technology with our groundbreaking course, 'Arduino Interfacing with Sensors in Your Smartphone.' Embark on a journey where creativity meets functionality as you harness the power of Arduino to connect sensors to your smartphone seamlessly. From the thrill of setting up your hardware and software to crafting custom Android apps without coding, this course promises to unlock endless possibilities in mobile technology. Discover the essential components needed to kickstart your Arduino adventure, from hardware requirements to navigating the intricacies of MIT App Inventor. Dive deep into the realms of mobile app development as you explore the Designer and Blocks Editor, laying the foundation for your foray into creating intuitive mobile apps. With our guidance, even those with zero coding experience can craft innovative applications that effortlessly bridge the gap between Arduino and smartphones. Unlock the potential of sensors as you delve into the world of proximity, accelerometer, gyroscope, and magnetometer sensors. Learn how to read analogue sensor data with Arduino and translate it into interactive mobile experiences. Whether you're a budding technologist, a hobbyist seeking to expand your skills, or an entrepreneur with a vision for innovative mobile solutions, this course equips you with the tools and knowledge to turn your ideas into reality. Learning Outcomes: Understand the hardware and software requirements for interfacing Arduino with smartphones. Master MIT App Inventor to design and develop custom Android apps for Arduino projects. Explore various sensors, including proximity, accelerometer, gyroscope, and magnetometer. Learn to create mobile apps without coding, integrating Arduino seamlessly. Gain proficiency in reading analogue sensor data and controlling Arduino remotely via smartphones. Highlights of the Arduino Interfacing with Sensors in Your Smartphone : 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 Arduino Interfacing with Sensors in Your Smartphone Course for? Tech enthusiasts eager to explore Arduino and smartphone integration. Hobbyists looking to expand their knowledge in mobile app development. Entrepreneurs seeking to develop innovative mobile solutions. Students interested in learning about sensor interfacing and mobile technology. Engineers and developers aiming to enhance their skills in IoT and mobile connectivity. How is the course assessed? To successfully complete the course you must pass an automated, multiple-choice assessment. The assessment is delivered through our online learning platform. You will receive the results of your assessment immediately upon completion. Will I receive a certificate of completion? Upon successful completion, you will qualify for the UK and internationally-recognised certification and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £9 and Hardcopy Certificate for £15. Requirements The Arduino Interfacing with Sensors in Your Smartphone is open to all, with no formal entry requirements. All you need is a passion for learning, a good understanding of the English language, numeracy and IT, and to be over the age of 16. Career Path Mobile App Developer: £25,000 - £70,000 per annum IoT Engineer: £30,000 - £65,000 per annum Software Engineer: £25,000 - £70,000 per annum Electronics Engineer: £25,000 - £55,000 per annum Embedded Systems Developer: £30,000 - £70,000 per annum Technology Consultant: £35,000 - £80,000 per annum Course Curriculum Introduction and Getting Started Introduction 00:03:00 Hardware and Software Requirements Hardware and Software Requirements 00:02:00 Download and Install MIT App Inventor 00:10:00 Download and Install Arduino Pro IDE 00:09:00 Setting Up App Inventor What is App Inventor 00:02:00 Designer and Blocks Editor MIT App Inventor User Interface Explained 00:04:00 First Mobile App to Control Arduino Make your first Mobile App - Blink LED 00:15:00 Code your Arduino - Blink LED 00:05:00 Proximity Sensor Proximity Sensor Mobile App 00:14:00 Light Sensor Mobile App and Arduino Code 00:13:00 Practical Testing 00:03:00 Accelerometer Sensor Accelerometer Sensor Mobile App 00:14:00 Coding Accelerometer Sensor 00:05:00 Gyroscope Sensor Gyroscope Sensor Mobile App and Arduino Code 00:06:00 Magnetometer Sensor Magnetometer Sensor Mobile App and Arduino Code 00:05:00 Make Android App With Zero Experience MIT App Inventor Introduction uuuu 00:03:00 What can you do and system requirements 00:03:00 What is app inventor in More Details 00:02:00 Java Vs App Inventor 00:03:00 Why using App Inventor 00:01:00 App Architecture 00:05:00 Let's Start Making Apps 00:05:00 First App Add Items and Start Programming with Blocks 00:10:00 First App Testing and Running the App using Emulator 00:13:00 Resources you need to visit to Create Better Apps 00:02:00 How to Create a website for your app for free and take credit for it 00:05:00 Android Apps for Arduino with MIT App Inventor without Coding Introduction 00:03:00 App Inventor Overview 00:04:00 An App Challenge 00:01:00 System Requirements 00:01:00 AppInventor Vs Java and C 00:03:00 Why App Inventor Works 00:02:00 App Architecture 00:05:00 Download and Install App Inventor on Your Device 00:09:00 AppInventor UserInterface With Example 00:14:00 Arduino Coding for Led On Off Practical Example 00:09:00 Making an Android App for Led On Off Practical Example 00:12:00 Testing On Off App with Arduino 00:07:00 Make a Login Protected Led Control App 00:14:00 Slider Application to Control Led Brightness 00:15:00 Slider Practical 00:09:00 Practical Connect Bluetooth Module 00:05:00 RGB Led Controller Android Application 00:14:00 RGB LED Arduino Coding 00:12:00 Sensor Readings Arduino Coding 00:09:00 Sensor Readings Android Application 00:17:00 LCD Text Arduino Coding 00:09:00 LCD Text Android Application 00:06:00 Remote Controlled Robot Android Application 00:09:00 Remote Controlled Robot Arduino Coding 00:15:00 Make Money with MIT App Inventor Apps 00:05:00 Reading Analog Sensor with Arduino Introduction 00:02:00 How to read analogue sensors using Arduino 00:02:00 Software Requirements 00:04:00 Wiring Analog Sensors to Arduino 00:09:00 Writing code to collect reading from analogue sensors 00:07:00 Practical Analogue Sensor Testing 00:03:00 Analyse and convert Sensor Reading 00:03:00 Manipulating Sensors Reading 00:06:00 ADC in Arduino Explained 00:14:00

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Management Complete Course (Operation, HR, Admin, Security, Retail) Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Management Complete Course (Operation, HR, Admin, Security, Retail) Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Management Complete Course (Operation, HR, Admin, Security, Retail) Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Management Complete Course (Operation, HR, Admin, Security, Retail) Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Management Complete Course (Operation, HR, Admin, Security, Retail)? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Management Complete Course (Operation, HR, Admin, Security, Retail) 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 course for? This Management Complete Course (Operation, HR, Admin, Security, Retail) course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Management Complete Course (Operation, HR, Admin, Security, Retail) does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Management Complete Course (Operation, HR, Admin, Security, Retail) 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 As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Management Complete Course (Operation, HR, Admin, Security, Retail) is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Management Complete Course (Operation, HR, Admin, Security, Retail) Operations Management Introduction to Operations Management 00:23:00 Project Management 00:22:00 Business Development and Succession Planning 00:27:00 Process Management 00:26:00 Supply Chain Management 00:23:00 Planning & Forecasting Operations 00:23:00 Procurement & Purchasing Management 00:23:00 Manufacturing & Delivery Operations 00:19:00 Quality Management 00:23:00 Managing Risk and Recovery 00:29:00 Performance Management 00:21:00 Talent Management 00:20:00 Communication Skills 00:26:00 Negotiation Techniques 00:19:00 Conflict Management 00:17:00 Stress Management 00:19:00 Time Management 00:40:00 Business Environment 00:19:00 Business Writing Skills 00:39:00 HR Management Course Module 01: Introduction to Human Resource 00:17:00 Module 02: Employee Recruitment and Selection Procedure 00:32:00 Module 03: Employee Training and Development Process 00:22:00 Module 04: Performance Appraisal Management 00:19:00 Module 05: Employee Relations 00:14:00 Module 06: Motivation and Counselling 00:19:00 Module 07: Ensuring Health and safety at the Workplace 00:17:00 Module 08 : Employee Termination 00:15:00 Module 09: Employer Record and Statistics 00:11:00 Module 10: Essential UK Employment Law 00:26:00 Administrative Management Module 01: Introduction to Office Administration 00:16:00 Module 02: Skills of an Effective Administrator 00:17:00 Module 03: Business Etiquette 00:21:00 Module 04: Business Telephone Skills 00:21:00 Module 05: Representing Your Boss and Company 00:36:00 Module 06: Mail Services and Shipping 00:27:00 Module 07: Travel Arrangements 00:26:00 Module 08: Organising Meeting and Conferences 00:27:00 Module 09: Organisational Skills 00:27:00 Module 10: Customer Service 00:18:00 Module 11: Effective Planning and Scheduling 00:48:00 Module 12: Invoicing/Petty Cash 00:29:00 Security Management Diploma Module 01: Introduction to Security Management 00:30:00 Module 02: Organisational Security Management 00:26:00 Module 03: Security Risk Analysis and Risk Reduction 00:23:00 Module 04: Physical and Information Security Protection 00:32:00 Module 05: Business Resilience and Crisis Management 00:17:00 Module 06: Cyber Security and Fraud Prevention 00:25:00 Module 07: Security Investigations and Threat Awareness 00:24:00 Module 08: Laws and Regulations 00:25:00 Retail Management Introduction to Retail Management 00:22:00 Retail Strategy 00:13:00 Retail Buying and Merchandising 00:17:00 Retail Pricing 00:32:00 Supply Chain Management in Retailing 00:12:00 The Sales Process and Dealing with Customers at the Checkout 00:10:00 Importance of Consumer Behaviour 00:12:00 Taking Trends and Targeting Customers Effectively 00:11:00 The Importance of Communicating with Customers 00:18:00 Choosing a Retail Location 00:14:00 Retail Psychology 00:13:00 Negotiate the Right Deal with Suppliers 00:12:00 Develop Store Security Procedures 00:16:00 Management Skills for Leading Your Team 00:17:00 Selling in Multiple Channels1 00:21:00 Retail Brand Management 00:16:00 Health & Safety for Retail Stores 00:21:00 Consumer Rights Act 00:15:00 Mock Exam Mock Exam - Management Complete Course (Operation, HR, Admin, Security, Retail) 00:20:00 Final Exam Final Exam - Management Complete Course (Operation, HR, Admin, Security, Retail) 00:20:00

Course overview Discover the best practices for Resourcing and talent management with the Resourcing and Talent Management course. This course aims to equip you with the fundamental knowledge and skills required to kickstart an HR career and work in the recruitment sector.  In this Resourcing and Talent Management course, we will familiarize you with the talent planning process and explain the benefits of developing top talent. You will learn about a recruiter's roles and responsibilities and explore the strategies for attracting and selecting the best talent in the interview process. Moreover, you will learn about employer branding to promote your organization and attract potential candidates. You will also identify the steps to improve the talent management process.  Enroll today and prepare a skilled and productive workforce for your organization! Learning outcomes Learn about resourcing and talent management Familiarize yourself with the role of an HR Have a deeper understanding of the recruitment process Strengthen your knowledge of performance management Discover the benefits of developing top talent Deepen your understanding of employer branding Learn the steps to improve your talent management process Who is this course for This Resourcing and Talent Management course is ideal for aspiring professionals interested in gaining the relevant skills in talent management to work in the recruitment sector. Entry Requirement This course is available to all learners of all academic backgrounds. Learners should be aged 16 or over. Good understanding of English language, numeracy and ICT skills are required to take this course. Certification After you have successfully completed the course, you will obtain an Accredited Certificate of Achievement. And, you will also receive a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy for £39 or in PDF format at the cost of £24. The PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why Choose Us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos and materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; United Kingdom & internationally recognized accredited qualification; Access to course content on mobile, tablet and desktop from anywhere, anytime; Substantial career advancement opportunities; 24/7 student support via email. Career Path The Resourcing and Talent Management course provides essential skills that will make you more effective in your role. It would be beneficial for any related profession in the industry, such as: HR Manager Recruitment Consultant HR Coordinator Human Resources Advisor Head of Talent & HR Module 01. Introduction to Resourcing and Talent Management Introduction to Resourcing and Talent Management 00:29:00 Module 02. Resourcing and Talent Planning Resourcing and Talent Planning 00:11:00 Module 03. Talent Management and The Role of Recruiting Talent Management and The Role of Recruiting 00:12:00 Module 04. Coaching, Training and Development Coaching, Training and Development 00:23:00 Module 05. Performance Management Performance Management 00:26:00 Module 06. Benefits of Talent Management Benefits of Talent Management 00:23:00 Module 07. Planning Human Resources Planning Human Resources 00:22:00 Module 08. Job Analysis and Design Job Analysis and Design 00:12:00 Module 09. Employer Branding Employer Branding 00:27:00 Module 10. Improvement Opportunities of Talent Management System Improvement Opportunities of Talent Management System 00:22:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

IELTS Exam Preparation Course Overview This IELTS Exam Preparation course is designed to equip learners with the essential skills needed to excel in the IELTS exam. Covering all four sections of the test—listening, reading, writing, and speaking—the course provides in-depth insights into the format and structure of the test. Learners will develop strong English language skills, ensuring they are well-prepared for each section of the exam. By the end of the course, learners will gain confidence in their ability to manage time, understand test requirements, and perform under exam conditions. With expert guidance and structured content, this course aims to help learners achieve their desired IELTS band score. Course Description This course delves into each component of the IELTS exam, helping learners understand its format and assess their strengths and weaknesses. The grammar modules focus on essential areas such as sentence structure, punctuation, and capitalisation to ensure learners can effectively communicate their ideas. The listening, reading, writing, and speaking modules are tailored to build specific skills required for each section of the exam, guiding learners through practice exercises and strategies for optimal performance. Through engaging lessons and mock tests, learners will gain a clear understanding of what is expected in the IELTS exam and how to approach each section with confidence. The course also includes practical advice on preparing for the test, managing exam stress, and performing well under timed conditions. IELTS Exam Preparation Curriculum Module 01: Introduction to IELTS Module 02: IELTS Test Format Module 03: Grammar for IELTS: Basics of Grammar Module 04: Grammar for IELTS: The Basics of Sentence Module 05: Grammar for IELTS: Structure of Sentence Module 06: Grammar for IELTS: Punctuation & Capitalisation Module 07: The Listening Section Module 08: The Reading Section [Academic] Module 09: The Writing Section [Academic] Module 10: The Speaking Section Module 11: IELTS [General Training] Module 12: IELTS Life Skills Module 13: What To Do Before The IELTS Test? Module 14: IELTS Full-length Practice Tests (See full curriculum) Who is this course for? Individuals seeking to achieve a high band score in the IELTS exam. Professionals aiming to meet English language proficiency requirements for work or study. Beginners with an interest in pursuing international education or career opportunities. Those preparing for the IELTS exam as part of their visa application process. Career Path International student in higher education. Migration consultant or advisor. Professional in need of an English language proficiency qualification. Candidate for job roles requiring IELTS certification for global organisations.

In this comprehensive course, you will learn everything you need to know about SQL and Microsoft SQL Server, from the basic to advanced topics. With easy-to-follow lessons and hands-on exercises, you will gain the skills and confidence to work with databases like a pro. Perfect for beginners and anyone looking to expand their data management skills.

This course teaches you data analysis and visualisation using the versatile R language. From understanding data structures to performing advanced statistical analysis, this course equips you with the skills to extract meaningful insights from complex datasets. This Course At A Glance Accredited by CPD UK Endorsed by Quality Licence Scheme Get a deep understanding of data science, the process and the toolbox Learn about R and Rstudio Get an introduction to the basic data types in R Learn to perform arithmetic calculations on vectors Understand what is a matrix and how to analyse it Know what is factors and how to summarise it Recognise how to create a data frame Get an understanding of the relational and logical operators Learn what is a conditional statement and how to implement the same Learn about loops, functions and R packages Understand data manipulation with dplyr Data Science Course with R Programming Course Overview This comprehensive data science with R programming course is specially designed for those who are willing to get a better understanding of R programming and data science to gain proficiency in the same. This online course will help you strengthen your knowledge of data science, R and Rstudio, basics, vectors and much more. This online data science with R programming course will also help you acquire knowledge about the Matrices, factors, data frame, list, logical and relational operations and conditional statements. You will also gain an understanding of the advanced features like loops, functions R packages, regular expressions, etc., to master R language and data science. By the end of the course, you will be able to write R programmes efficiently and be able to analyse data. You will also develop the skills to become a successful data scientist or data analyst after completing this course. Who should take this course? This comprehensive data science with R programming course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of R programming. Entry Requirements There are no academic entry requirements for this data science with r programming course, and it is open to students of all academic backgrounds. However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection. Assessment Method This data science with r programming course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner can grasp from each section. In the assessment pass mark is 60%. Course Curriculum Data Science Overview Introduction to Data Science Data Science Career of the Future What is Data Science Data Science As a Process Data Science Toolbox Data Science Process Explained What's Next R and RStudio Engine and Coding Environment Installing R and RStudio RStudio a Quick Tour Introduction to Basics Arithmetic With R Variable Assignment Basic Data Types in R Vectors Creating a Vector Naming a Vector Arithmetic Calculations on Vectors Vector Selection Selection by Comparison Matrices What's a Matrix Analyzing Matrices Naming a Matrix Adding Columns and Rows to a Matrix Selection of Matrix Elements Arithmetic with Matrices Factors What's a Factor Categorical Variables and Factor Levels Summarizing a Factor Ordered Factors Data Frames What's a Data Frame Creating a Data Frame Selection of Data Frame Elements Conditional Selection Sorting a Data Frame Lists Why Would You Need Lists Creating a List Selecting Elements From a List Adding More Data to The List Relational Operators Equality Greater and Less Than Compare Vectors Compare Matrices Logical Operators AND, OR, NOT Operators Logical Operators with Vectors and Matrices Reverse The Result Relational and Logical Operators Together Conditional Statements The IF Statement IF…ELSE The ELSEIF Statement Loops Write a While Loop Looping with More Conditions Break Stop The While Loop What's a For Loop. Loop Over a Vector Loop Over a List Loop Over a Matrix For Loop with Conditionals Using Next and Break with For Loop Functions What Is a Function. Arguments Matching Required and Optional Arguments Nested Functions Writing Own Functions Functions with No Arguments Defining Default Arguments in Functions Function Scoping Control Flow in Functions R Packages Installing R Packages Loading R Packages Different Ways to Load a Package The Apply Family - Lapply What Is Lapply and When Is Used. Use Lapply with User-Defined Functions Lapply and Anonymous Functions Use Lapply with Additional Arguments The Apply Family - Sapply & Vapply What Is Sapply. How to Use Sapply. Sapply with Your Own Function Sapply with a Function Returning a Vector When Can't Sapply Simplify. What Is Vapply and Why Is It Used. Useful Functions Mathematical Functions Data Utilities Regular Expressions Grepl & Grep Metacharacters Sub & Gsub More Metacharacters Dates And Times Today and Now Create and Format Dates Create and Format Times Calculations with Dates Calculations with Times Getting and Cleaning Data Get and Set Current Directory Get Data From The Web Loading Flat Files Loading Excel Files Plotting Data in R Base Plotting System Base Plots Histograms Base Plots Scatterplots Base Plots Regression Line Base Plots Boxplot Data Manipulation With dplyr Introduction to dplyr Package Using The Pipe Operator (%>%) Columns Component Select() Columns Component Rename() and Rename_with() Columns Component Mutate() Columns Component Relocate() Rows Component Filter() Rows Component Slice() Rows Component Arrange() Rows Component Rowwise() Grouping of Rows Summarise() Grouping of Rows Across() Covid-19 Analysis Task Assessment Assessment - Data Science Course with R Programming Recognised Accreditation CPD Certification Service This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. Quality Licence Scheme Endorsed The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees.     Certificate of Achievement Endorsed Certificate from Quality Licence Scheme After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

Register on the R Programming for Data Science 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 R Programming for Data Science 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 R Programming for Data Science 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 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 R Programming for Data Science, 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: 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? 00:01:00 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

Duration 1 Days 6 CPD hours This course is intended for This course is designed for individuals who may need to present information effectively in a professional environment. Overview Define what makes a presentation effective. Plan presentations. Design a presentation framework. Develop the presentation body. Create supporting materials. Prepare for your presentation. Deliver presentations. Conduct a question-and-answer session. Deliver group presentations and virtual presentations. The ability to deliver presentations is vital to achieving advancement for yourself and for your ideas. Few skills in life will contribute to your success as much as presentation skills. Without a dynamic and coherent presentation, even stellar ideas can fail to convince your audience. In this course, you will learn to organize your ideas to create coherent and convincing oral presentations, while also utilizing available visual aids and using public-speaking techniques to strengthen your delivery. Private classes on this topic are available. We can address your organization?s issues, time constraints, and save you money, too. Contact us to find out how. Prerequisites To ensure your success, you will need to have experience writing in a professional context and creating presentations using Microsoft Office PowerPoint. 1. Defining Presentation Effectiveness Identify Qualities of Effective Presentations Evaluate Yourself as a Presenter 2. Planning Presentations Analyze the Audience Establish Your Presentation\'s Objectives 3. Designing the Presentation Create the Presentation Structure Organize the Presentation Body Write the Conclusion First Write the Introduction 4. Developing the Presentation Body Select Evidence Write the Presentation Body Create Visuals 5. Creating Supporting Materials Create a Slide Deck Create Speaker Aids Create Audience Handouts 6. Preparing for Your Presentation Rehearse the Presentation Plan Event Logistics 7. Delivering Presentations Connect with Your Audience Present Powerfully Utilize a Slide Deck Effectively 8. Conducting a Question-and-Answer Session Answer Questions Handle Challenging Questions 9. Presenting in Common Business Scenarios Plan and Deliver a Virtual Presentation Plan and Deliver Group Presentations 10. Key Course Information This course focuses on the skills necessary to prepare and deliver an effective presentation; that being said, the learner will not be creating, delivering, or designing a specific presentation from start to finish in this course (this course only provides the foundational knowledge for doing this work back at the office). This course consists of instructor lecture along with course activities corresponding with the main course objectives. In terms of the course activities, 50% will be discussion based - 25% will be in a group-work format - and 25% will be hands-on/involve a digital tool, such as a PowerPoint or Word file. The intent is for students leaving this course to take the skills learned and apply them to their efforts of creating more effective presentations upon returning to the workplace. Additional course details: Nexus Humans Effective Presentations (Second Edition) 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 Effective Presentations (Second Edition) 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.

Duration 5 Days 30 CPD hours This course is intended for This basic course is intended for anyone who is new to software development and wants, or needs, to gain an understanding of the fundamentals of coding and basics of Java and object-oriented programming concepts. Attendees might include: Technically-minded attendees who want or who want to begin the process of becoming an OO application developer Technical team members from non-development roles, re-skilling to move into software and application development roles within an organization Recent college graduates looking to apply their college experience to programming skills in a professional environment, or perhaps needing to learn the best practices and standards for programming within their new organization Technical managers tasked with overseeing programming teams, or development projects, where basic coding knowledge and exposure will be useful in project oversight or communications needs Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in basic coding with Java, coupling the most current, effective techniques with the soundest industry practices. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will learn: The steps involved in the creation and deployment of a computer program What OO programming is and what the advantages of OO are in today's world To work with objects, classes, and OO implementations The basic concepts of OO such as encapsulation, inheritance, polymorphism, and abstraction The basic constructs that all programming languages share The basic Java constructs supporting processing as well as the OO orientation How to use Java exception handling About and how to use classes, inheritance and polymorphism About use collections, generics, autoboxing, and enumerations How to take advantage of the Java tooling that is available with the programming environment being used in the class Getting Started with Programming, OO and Java Basics for Non-Developers is a skills-focused, hands-on coding course that teaches students the fundamentals of programming object oriented (OO) applications with Java to a basic level, using sound coding skills and best practices for OO development. This course is presented in a way that enables interested students to embrace the fundamentals of coding as well as an introduction to Java, in a gentle paced environment that focuses on coding basics.Students are introduced to the application development cycle, structure of programs, and specific language syntax. The course introduces important algorithmic constructs, string and character manipulation, dynamic memory allocation, standard I/O, and fundamental object-oriented programming concepts. The course explains the use of inheritance and polymorphism early on so the students can practice extensively in the hands-on labs. Structured programming techniques and error handling are emphasized. The course includes the processing of command line arguments and environment variables, so students will be able to write flexible, user-friendly programs. Students will leave this course armed with the required skills to begin their journey as a Java programmer using modern coding skills and technologies. Introduction to Computer Programming Introduction to Programming Programming Tools Programming Fundamentals Thinking About Objects Program Basics Programming Constructs Java: A First Look The Java Platform Using the JDK The Eclipse Paradigm Writing a Simple Class OO Concepts Object-Oriented Programming Inheritance, Abstraction, and Polymorphism Getting Started with Java Adding Methods to the Class Language Statements Using Strings Specializing in a Subclass Essential Java Programming Fields and Variables Using Arrays Java Packages and Visibility Advanced Java Programming Inheritance and Polymorphism Interfaces and Abstract Classes Exceptions Java Developer's Toolbox Utility Classes Enumerations and Static Imports Formatting Strings Collections and Generics Introduction to Generics Collections