1707 Courses

Overview of Diploma in Caregiving Caregiving is a growing field in the UK. Over 12 million people are 65 or older. This means there's a big need for trained caregivers. This Diploma in Caregiving teaches you how to care for adults. You can work in their homes or care settings. The course covers many important topics. These include adult care, medication management, and keeping vulnerable people safe. Our course covers many important topics. You will learn to safeguard vulnerable adults, communicate effectively in care settings, and prevent infections. We also teach adult nursing and basic life support so that you will be ready for emergencies.   Communication is key in caregiving. This course shows you how to talk well with the people you care for. You'll also learn how to work with adults at different life stages. Each stage has its own needs. The course helps you understand these needs. This knowledge will make you a better caregiver.  This course is perfect for anyone who wants to work in adult care. It is also great for those interested in domiciliary care and home caregiving. If you want to understand the basics of caregiving or improve your skills in adult nursing, this course is for you. It is also ideal for those who care about safeguarding and supporting vulnerable adults.  Join us today and take the first step toward a meaningful career in caregiving. With our Diploma in Caregiving, you will be ready to meet the growing demand for skilled caregivers in the UK. Start your journey now and make a positive impact on the lives of those in need. Get a Quick Look at The Course Content: This Diploma in Caregiving Course will help you to learn: Understand adult care across different life stages. Apply safety protocols in domiciliary care settings. Administer basic life support and resuscitation. Manage and administer medication correctly. Safeguard vulnerable adults effectively and responsibly. Communicate efficiently in caregiving environments. This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Diploma in Caregiving. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Diploma in Caregiving course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? Aspiring caregivers aiming to work with adults in various settings. Individuals interested in domiciliary care and home caregiving. Those looking to understand the fundamentals of caregiving. Caregivers seeking to enhance their skills in adult nursing. Anyone passionate about safeguarding and supporting vulnerable adults. Requirements You don't need any educational qualification or experience to enrol in the Diploma in Caregiving course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Diploma in Caregiving Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Home Caregiver - £18K to 25K/year. Domiciliary Carer - £19K to 26K/year. Mental Health Nurse - £24K to 40K/year. Adult Care Worker - £20K to 30K/year. Medication Administration Specialist - £22K to 32K/year. Course Curriculum Prerequisite Document Prerequisite Document 00:20:00 Diploma in Caregiving Module 01: Adult Care in Different Life Stages 00:17:00 Module 02: Working with Adults 00:30:00 Module 03: Introduction to Domiciliary Care 00:15:00 Module 04: Health and Safety for Domiciliary Carers 00:33:00 Module 05: CSTF Infection Prevention and Control 00:37:00 Module 06: CSTF Resuscitation - Basic Life Support 00:24:00 Module 07: Medication Management and Administration 00:18:00 Module 08: Mental Health Care 00:23:00 Module 09: Safeguarding of Vulnerable Adults 00:15:00 Module 10: Safeguarding Legislations 00:25:00 Module 11: Safeguarding Vulnerable Adults Policy, Roles and Responsibilities 00:23:00 Module 12: Importance of Communication in Care 00:33:00 Module 13: Sharing Information and Responding to a Disclosure 00:20:00 Module 14: Reporting Your Concern 00:17:00 Module 15: Adult Nursing 00:05:00 Module 16: Health and Safety 00:26:00 Module 17: Hygiene 00:28:00 Module 18: Rest and Sleep Management 00:17:00 Module 19: Mobility and Immobility Issues of Patients 00:15:00 Module 20: Pain Management 00:23:00 Module 21: Nutrition 00:14:00 Module 22: Assisting with Elimination 00:28:00 Module 23: Oxygenation 00:28:00 Module 24: Introduction to End of Life Care 00:18:00 Module 25: Health and Social Care 00:19:00 Module 26 : Principles, Theories, and Values of Person-Centred Care 00:14:00 Module 27: Complexities of Consent 00:15:00 Module 28: Caregiving for Dementia 00:10:00

Overview Learn how to become an exemplary Receptionist and positively represent your company when interacting with all clients and customers. Every business needs an efficient administrator to manage the Front-Office, along with providing support and assistance to their boss. We can coach you to become an excellent Receptionist and gain all the required business skills that you'll need to succeed, and the confidence with which to use them. Description The course has been compiled by industry experts and provides an overview of the responsibilities of a valued Receptionist. You will be tutored in a wide range of administrative practises, so that you can immediately start to use them in the office. It also includes training in customer-facing etiquette and suggestions on how to positively improve your company's reputation with clients. Various other crucial office aptitudes will be covered, such as; Time Management, Travel Arrangement, Record Keeping, and Business Writing. Make sure you present the efficiency of your company by enrolling now. Learning outcomes:  Understand the basic requirements needed to run receptions areas efficiently Gain the all-round skills to be a first-class Receptionist Learn how to represent your boss and company in reception Be skilled in organising travel and arranging executive meetings for others Attain the ability to file and retrieve essential company records Acquire the skills to apply excellent communicate practises at work Display great customer service for clients and colleagues Be trusted to handle internal finances and petty cash funding Why People Love And Enrol In The Receptionist Skills From Studyhub: Instantly accessible CPD-accredited certificate on successful completion of this Receptionist Skills 24/7 access to the course for 12 months Study at your own pace No hidden fees or exam charges Full Tutor support on weekdays (Monday - Friday) Efficient assessment and instant results Method of Assessment To assess your learning, you have to participate in an automated multiple-choice question exam. You have to score at least 60% to pass the exam and to qualify for CPD accredited certificates. After passing the exam, you will be able to apply for a certificate. To enhance your knowledge regarding the course and to further assess your learning, you are advised to complete the assignment questions provided at the end of the course, which you can complete anytime you wish.  After submitting the assignment, our expert tutor will assess your assignment and will give you feedback on your performance. Certification After completing the MCQ assessment, you will qualify for the CPD Certificate from Studyhub, as proof of your continued professional development. Certification is available in PDF format, for £9, or a hard copy can be sent to you via post, for just £15. Who is This course for? This course is primarily designed to provide coaching and training for those individuals who aspire to work as Receptionists or a similar role such as a Secretary or PA. Requirements There are no specific prerequisites to enrol in this Receptionist Skills. Anyone and everyone can take this course. The Receptionist Skills is fully accessible from any internet-enabled smart device. So, you can study from the comfort of your home! All you need is a passion for learning, literacy, and to be over the age of 16. Career Path This course provides training and a comprehensive overview of all the skills and knowledge that are needed by a Receptionist or a similar administrative role. As such, it will cover the following roles and careers:  Receptionist Administrative Manager Personal Assistant Private Secretary Human Resources staff Course Curriculum Office Admin and Reception Module 1: Introduction to Reception and Receptionist 00:11:00 Module 2: Business Telephone Skills 00:19:00 Module 3: Representing Your Boss and Company 00:34:00 Module 4: Mail Services and Shipping 00:25:00 Module 5: Travel Arrangements 00:24:00 Module 6: Organising Meeting and Conferences 00:25:00 Module 7: Time Management 00:35:00 Module 8: Record Keeping and Filing Systems 00:28:00 Module 9: Business Writing Skills 00:40:00 Module 10: Organisational Skills 00:25:00 Module 11: Communication Skills 00:25:00 Module 12: Customer Service 00:16:00 Module 13: Effective Planning and Scheduling 00:46:00 Module 14: Invoicing/Petty Cash 00:27:00 Module 15: Business Environment 00:19:00 Advanced MS Excel How to Get the most of the course 00:01:00 Text formulas in Excel 00:08:00 Text Formulas Exercise 00:01:00 Text Formulas Exercise (answers) 00:01:00 Mathematical Formulas In Excel 00:04:00 Mathematical Formulas Exercise 00:01:00 Mathematical Formulas Exercise (answers) 00:01:00 Date and Time Formulas In Excel 00:06:00 Date and Time Formulas Exercise 00:01:00 Date and Time Exercise Formulas (answers) 00:01:00 Logic Formulas In Excel 00:12:00 Logic Formula Exercise 00:01:00 Logic Formula Exercise (answers) 00:01:00 Financial Formula In Excel 00:06:00 Financial Formula Exercise 00:01:00 Financial Formula Exercise (answers) 00:02:00 Informational Formula In Excel 00:04:00 Informational Formula Exercise 00:01:00 Informational Formula Exercise (answers) 00:01:00 Getting Traffic To Your Site 01:00:00 Menu Example with Excel Vlookup 00:08:00 Wildcard Search with Excel Vlookup 00:09:00 Looking to the Left with Excel Vlookup 00:17:00 2-Way Lookup 00:14:00 Comparing Lists with Excel Vlookup 00:03:00 Microsoft Excel Vlookup Tips and Tricks 00:14:00 Power Query Intro and Excel version 00:03:00 Excel Power Query - Introduction 00:03:00 Enabling M in Power Query 00:02:00 Transform Data - Trim in Excel Power Query 00:05:00 Transform Data - Format Dates and Values in Excel Power Query 00:02:00 Simple Expressions 00:08:00 Simple Expressions - Nested Expressions 00:03:00 Transform Data - Parsing URLs in Excel Power Query 00:05:00 Variables 00:08:00 Formatting Excel Keyboard Shortcuts 00:02:00 Table Excel Keyboard Shortcuts 00:02:00 Editing Excel Keyboard Shortcuts 00:05:00 Formula Excel Keyboard Shortcuts 00:03:00 Workbook Excel Keyboard Shortcuts 00:02:00 Handy Excel Shortcuts Keyboard Shortcuts 00:05:00 Mock Exam Mock Exam - Office Admin and Reception 00:20:00 Final Exam Final Exam - Office Admin and Reception 00:20:00

Welcome to this course on SwiftUI animations iOS 16. This is a fun-to-code course with multiple hands-on projects geared toward various skill levels. Each project is marked 'Easy', 'Intermediate', or 'Advanced', allowing you to start coding projects according to your skill level and gradually move on to the higher levels when ready.

Python is one of the most useful programming languages to learn. You can learn back-end of web applications, games, in-house scripts, and even build a robust test automation framework.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced attendees who wish to learn and use basic machine learning algorithms and concepts. Students should have skills at least equivalent to the Python for Data Science courses we offer. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to Understand the main concepts and principles of predictive analytics Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Explore advanced predictive modeling algorithms w with an emphasis on theory with intuitive explanations Learn to deploy a predictive model's results as an interactive application Learn about the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into the dataset Learn to build regression and classification models using scikit-learn Use Keras to build powerful neural network models that produce accurate predictions Learn to serve a model's predictions as a web application Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This course provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. Hands-on Predictive Analytics with Python is a three-day, hands-on course that guides students through a step-by-step approach to defining problems and identifying relevant data. Students will learn how to perform data preparation, explore and visualize relationships, as well as build models, tune, evaluate, and deploy models. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seabor, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. The Predictive Analytics Process Technical requirements What is predictive analytics? Reviewing important concepts of predictive analytics The predictive analytics process A quick tour of Python's data science stack Problem Understanding and Data Preparation Technical requirements Understanding the business problem and proposing a solution Practical project ? diamond prices Practical project ? credit card default Dataset Understanding ? Exploratory Data Analysis Technical requirements What is EDA? Univariate EDA Bivariate EDA Introduction to graphical multivariate EDA Predicting Numerical Values with Machine Learning Technical requirements Introduction to ML Practical considerations before modeling MLR Lasso regression KNN Training versus testing error Predicting Categories with Machine Learning Technical requirements Classification tasks Credit card default dataset Logistic regression Classification trees Random forests Training versus testing error Multiclass classification Naive Bayes classifiers Introducing Neural Nets for Predictive Analytics Technical requirements Introducing neural network models Introducing TensorFlow and Keras Regressing with neural networks Classification with neural networks The dark art of training neural networks Model Evaluation Technical requirements Evaluation of regression models Evaluation for classification models The k-fold cross-validation Model Tuning and Improving Performance Technical requirements Hyperparameter tuning Improving performance Implementing a Model with Dash Technical requirements Model communication and/or deployment phase Introducing Dash Implementing a predictive model as a web application Additional course details: Nexus Humans Hands-on Predicitive Analytics with Python (TTPS4879) 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 Hands-on Predicitive Analytics with Python (TTPS4879) 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.

Learn to build a complete Arduino project using a keypad, LCD, ultrasonic sensor, LDR sensor, and a buzzer

Equality & Diversity: Stereotypes and Prejudices Do you always try to learn new things in order to increase your knowledge and skills? so, you can try out this course on Equality & Diversity. In order to explain the Equality & Diversity component, this specialised Equality & Diversity: Equality & Diversity course has decorated in total 7 different modules. You will be familiar with the objectives of Equality & Diversity: Equality & Diversity as well as relevant legal framework. This Equality & Diversity training will make your understanding of discrimination and diversity promotion apparent. Establishing connections between values, attitudes, and beliefs is the goal of this Equality & Diversity: Equality & Diversity course. You will gain a thorough understanding of stereotypes and prejudices by taking this course on equality & diversity. You will learn about institutional and individual discrimination in the final module of the Equality & Diversity: Equality & Diversity course. If you want to see yourself in productive work, enrol in this equality & diversity course right away! Learning Outcome of Equality & Diversity: Stereotypes and Prejudices You will know a brief about Equality & Diversity. Gain a brief knowledge about Equality & Diversity Legislation. Equality & Diversity course will give you an idea about Discrimination. You will learn about the connections between values, attitudes, and beliefs in the equality & diversity course. Equality & Diversity course will clear your idea about Stereotypes and Prejudices.. You can know about Institutional Discrimination and Individual Discrimination. Equality & Diversity: Stereotypes and Prejudices Course This Equality & Diversity: Equality & Diversity Course includes a FREE PDF Certificate. Lifetime access to this Equality & Diversity: Equality & Diversity Course Instant access to this Equality & Diversity: Equality & Diversityd Course Get FREE Tutor Support to this Equality & Diversity: Equality & Diversity Course Equality & Diversity: Stereotypes and Prejudices Elevate your career and impact with our comprehensive Equality & Diversity course! This Equality & Diversity program is designed across seven expertly crafted modules, offering insights into legal frameworks, discrimination awareness, and effective diversity promotion. Through this Equality & Diversity course, you’ll explore connections between values, beliefs, and attitudes, gaining a strong foundation in recognizing and countering stereotypes and biases. By the final module, you’ll fully understand both institutional and individual discrimination, empowering you to promote inclusivity. Step into meaningful work—enrol in our Equality & Diversity course today to lead positive change! Who is this course for? Equality & Diversity: Stereotypes and Prejudices Students, new graduates, and job seekers alike can enrol in this Equality & Diversity: Equality & Diversity course to advance their knowledge and abilities. Requirements Equality & Diversity: Stereotypes and Prejudices To enrol in this Equality & Diversity: Stereotypes and Prejudices Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Equality & Diversity: Equality & Diversity Course. Be energetic and self-motivated to complete our LEquality & Diversity: Equality & Diversity Course. Basic computer Skill is required to complete our Equality & Diversity: Equality & Diversity Course. If you want to enrol in our Equality & Diversity: Equality & Diversity Course, you must be at least 15 years old. Career path Equality & Diversity: Stereotypes and Prejudices Courses on Equality & Diversity: Equality & Diversity will enable you to pursue a variety of occupations, including those as an HR professional, a business owner, or in a related field.

Unlock the Power of Teams: Elevate your leadership with our Building and Leading Effective Teams course. Learn the art of collaboration, communication, and synergy to create high-performing teams that drive success Course overview Duration: 1 day (6 hours) Everyone works in teams today in one way or another. Whatever we do in the workplace we need to interact with another person or a number of people at various times. It is important that we know how to communicate, how to listen, how to work together and how to overcome conflict when it arises in our workplace. Challenges are often created by a lack of trust, poor conflict handling skills, a lack of shared vision and confusion over roles and responsibilities. This course will help delegates understand how to encourage more productive team working in the workplace. By the end of the course delegates will be able to describe what makes a High Performing Team and realistically assess their current strengths and weaknesses. Delegates will also be able to identify and plan behavioural changes that will improve the team’s performance. The course is experiential based with lots of learning by doing activities, reflecting and discussion. This will allow team members to get to know/improve their knowledge of team colleagues and energise or re-energise teams. Objectives  Know more about their colleagues Be able to describe what makes a high performing team Understand the importance of playing to different strengths and skills Recognise the need for clear and effective communication Content The Importance of Team Work The importance of teamwork The ‘third dimension’ – how working together has the potential to achieve more The dangers of an overly competitive workplace culture Psychological Safety Team Development Models Stages of Team Development Behaviours at each stage Dysfunctional Teams – what does good and bad look like Characteristics of high performing and elite teams Teaming and Leadership Skills Teaming competencies Active Listening Proactive Language Values and Beliefs Building Mental Fitness of Teams Becoming an inspirational leader Establishing a climate of psychological safety Team Challenges The importance of Accountability The Team Charter Smart Teams:Building TrustBuilding CollaborationOvercoming ConflictGaining CommitmentDeveloping Shared Goals The importance of shared goals Effective Team communication

Embark on a captivating journey into the realm of Python 3 Programming with our comprehensive course. From unraveling the mysteries of mathematical operators to mastering advanced topics like threading and socket terminology, this course is your gateway to the dynamic world of coding. Engage with hands-on sessions, explore the power of Python libraries, and conquer the art of class implementation. Your digital odyssey begins with the basics and evolves into a sophisticated understanding of programming essentials. Our creatively crafted curriculum promises an exhilarating learning experience, making coding accessible to enthusiasts and novices alike. Learning Outcomes Master the fundamentals of Python 3, from basic math operations to complex string manipulations. Develop practical skills in working with lists, dictionaries, and advanced string manipulation techniques. Gain proficiency in file handling, regex, and navigating systems using the OS library. Understand the principles of classes, inheritance, and the manipulation of date and time. Explore advanced topics such as performing HTTP requests, socket programming, and sending emails using SMTPlib. Why choose this Python 3 Programming 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 Python 3 Programming course for? Individuals eager to start their coding journey without prior programming experience. Students seeking a comprehensive understanding of Python 3 programming. Professionals looking to enhance their skills and stay relevant in the evolving tech landscape. Coding enthusiasts excited to explore the vast possibilities Python 3 offers. Anyone desiring a hands-on and engaging learning experience in programming. Career path Python Developer: £35,000 - £55,000 Data Analyst: £30,000 - £50,000 Software Engineer: £40,000 - £65,000 Machine Learning Engineer: £45,000 - £70,000 Web Developer: £32,000 - £50,000 Network Programmer: £38,000 - £60,000 Prerequisites This Python 3 Programming does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python 3 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 Section 01 Welcome to Python 3 course! 00:03:00 Why you should learn Python 3 00:04:00 Installing Python 3 on Windows 00:08:00 Installing Python3 on Ubuntu and Mac 00:08:00 Taking a closer look at Python 3 IDLE 00:05:00 Section 02 Math operators 00:12:00 Strings 00:08:00 Variables and variable naming rules 00:11:00 Our first program! 00:12:00 Type, Len, Str, Int, Float , functions 00:09:00 True or false Boolean 00:10:00 IF statement 00:05:00 IF & ELSE 00:13:00 Using ELIF for multiple statements 00:09:00 While loop 00:16:00 Using Continue in a loop 00:06:00 FOR loop 00:10:00 Importing Python libraries 00:12:00 Section 03 Defining functions in Python 3 00:15:00 Local and global variables 00:10:00 Coding guess the number program 00:16:00 Reverse a string function 00:07:00 Calculate area of a circle program 00:11:00 Simple Python calculator 00:15:00 Removing vowels from string program 00:13:00 Find the largest number out of three 00:16:00 Section 04 Python 3 lists 00:15:00 Creating smaller out of bigger list 00:09:00 Manipulating lists and elements 00:08:00 Append, insert, remove, sort 00:11:00 Tuples 00:13:00 Introduction to dictionaries 00:11:00 Values, keys, items, get 00:08:00 Dictionary comprehension - part 1 00:08:00 Dictionary comprehension - part 2 00:07:00 Advance string manipulation 00:12:00 Upper(), lower(), isupper(), islower() 00:09:00 Split, strip, join, startswith, endswith 00:13:00 Section 05 Navigating through system with OS library 00:29:00 Reading and writing to files 00:16:00 Reversing text from a file 00:17:00 Section 06 Try and except 00:13:00 Section 07 Classes 00:22:00 Changing class attributes 00:10:00 Built in class attributes 00:08:00 Using your class in a different program 00:05:00 Using your class in a program 00:26:00 Implementing students count option 00:05:00 Class inheritance 00:12:00 Overriding methods in a class 00:08:00 Section 08 Printing and calculating date and time 00:30:00 Different date formats 00:09:00 Section 09 Extracting useful data 00:23:00 Regex - part 1 00:23:00 Regex - part 2 00:17:00 Section 10 Performing HTTP GET request 00:20:00 Performing post request 00:04:00 Handling website redirections 00:03:00 BeautifulSoup 00:29:00 Encoding in requests 00:12:00 Session and cookies 00:21:00 SSL certificate, authentication 00:21:00 Json library and proxies 00:10:00 Section 11 Socket terminology 00:09:00 Connecting two machines 00:21:00 Coding a chat program 00:35:00 Receiving Desired Amount of Data 00:20:00 Socket Timeout and Options 00:08:00 UDP Server & Client 00:13:00 AF_UNIX & Raw sockets 00:14:00 Section 12 Theory Behind Threaded Server 00:15:00 Thread & Threading 00:50:00 Section 13 Sending Emails Using SMTPlib 00:32:00 PDF Files 00:11:00 Images In Python 00:16:00 Assignment Assignment - Python 3 Programming 00:00:00

Overview In the era where information is abundant and decisions are driven by data, have you ever pondered, 'what is machine learning?' or 'what is data science?' Dive into the realm of 'Data Science & Machine Learning with R from A-Z,' a comprehensive guide to unravel these complexities. This course effortlessly blends the foundational aspects of data science with the intricate depths of machine learning algorithms, all through the versatile medium of R. As the digital economy booms, the demand for machine learning jobs continues to surge. Equip yourself with the proficiency to navigate this dynamic field and transition from being an inquisitive mind to a sought-after professional in the space of data science and machine learning with R. Learning Outcomes: Understand the foundational concepts of data science and machine learning. Familiarise oneself with the R environment and its functionalities. Master data types, structures, and advanced techniques in R. Acquire proficiency in data manipulation and visual representation using R. Generate comprehensive reports using R Markdown and design web applications with R Shiny. Gain a thorough understanding of machine learning methodologies and their applications. Gain insights into initiating a successful career in the data science sector. Why buy this Data Science & Machine Learning with R from A-Z course? 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 Data Science & Machine Learning with R from A-Z 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 Data Science & Machine Learning with R from A-Z course for? This course is ideal for Individuals keen on exploring the intricacies of machine learning and data science. Aspiring data analysts and scientists looking to specialise in Machine Learning with R. IT professionals aiming to diversify their skill set in the emerging data-driven market. Researchers seeking to harness the power of R for data representation and analysis. Academics and students aiming to bolster their understanding of modern data practices with R. Prerequisites This Data Science & Machine Learning with R from A-Z does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Science & Machine Learning with R from A-Z 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 Data Scientist - Average salary range: £35,000 - £70,000 Per Annum Machine Learning Engineer - Average salary range: £50,000 - £80,000 Per Annum Data Analyst - Average salary range: £28,000 - £55,000 Per Annum R Developer - Average salary range: £30,000 - £60,000 Per Annum R Shiny Web Developer - Average salary range: £32,000 - £65,000 Per Annum Machine Learning Researcher - Average salary range: £40,000 - £75,000 Per Annum Course Curriculum Data Science and Machine Learning Course Intro Data Science and Machine Learning Introduction 00:03:00 What is Data Science 00:10:00 Machine Learning Overview 00:05:00 Who is This Course for 00:03:00 Data Science and Machine Learning Marketplace 00:05:00 Data Science and Machine Learning Job Opportunities 00:03:00 Getting Started with R Getting Started 00:11:00 Basics 00:06:00 Files 00:11:00 RStudio 00:07:00 Tidyverse 00:05:00 Resources 00:04:00 Data Types and Structures in R Unit Introduction 00:30:00 Basic Type 00:09:00 Vector Part One 00:20:00 Vectors Part Two 00:25:00 Vectors - Missing Values 00:16:00 Vectors - Coercion 00:14:00 Vectors - Naming 00:10:00 Vectors - Misc 00:06:00 Creating Matrics 00:31:00 List 00:32:00 Introduction to Data Frames 00:19:00 Creating Data Frames 00:20:00 Data Frames: Helper Functions 00:31:00 Data Frames Tibbles 00:39:00 Intermediate R Intermediate Introduction 00:47:00 Relational Operations 00:11:00 Conditional Statements 00:11:00 Loops 00:08:00 Functions 00:14:00 Packages 00:11:00 Factors 00:28:00 Dates and Times 00:30:00 Functional Programming 00:37:00 Data Import or Export 00:22:00 Database 00:27:00 Data Manipulation in R Data Manipulation in R Introduction 00:36:00 Tidy Data 00:11:00 The Pipe Operator 00:15:00 The Filter Verb 00:22:00 The Select Verb 00:46:00 The Mutate Verb 00:32:00 The Arrange Verb 00:10:00 The Summarize Verb 00:23:00 Data Pivoting 00:43:00 JSON Parsing 00:11:00 String Manipulation 00:33:00 Web Scraping 00:59:00 Data Visualization in R Data Visualization in R Section Intro 00:17:00 Getting Started 00:16:00 Aesthetics Mappings 00:25:00 Single Variable Plots 00:37:00 Two Variable Plots 00:21:00 Facets, Layering, and Coordinate Systems 00:18:00 Styling and Saving 00:12:00 Creating Reports with R Markdown Creating with R Markdown 00:29:00 Building Webapps with R Shiny Introduction to R Shiny 00:26:00 A Basic R Shiny App 00:31:00 Other Examples with R Shiny 00:34:00 Introduction to Machine Learning Machine Learning Part 1 00:22:00 Machine Learning Part 2 00:47:00 Starting A Career in Data Science Starting a Data Science Career Section Overview 00:03:00 Data Science Resume 00:04:00 Getting Started with Freelancing 00:05:00 Top Freelance Websites 00:05:00 Personal Branding 00:05:00 Importance of Website and Blo 00:04:00 Networking Do's and Don'ts 00:04:00 Assignment Assignment - Data Science & Machine Learning with R 00:00:00