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Overview of Office Administration With over 4 million people working in administrative roles, office administration is a growing field full of opportunities in the UK. This office administration course equips you with the essential skills like time management, business writing, communication, and organisation needed to thrive as an administrative professional. You'll gain practical insights into managing office tasks, interacting with staff and clients, and problem-solving issues that arise. With dedicated modules on skills like writing, communication, and stress management, this comprehensive course readies you for diverse administrative and secretarial jobs across sectors.  Invest in your potential. Become the backbone of success. Enrol today and unlock the thriving world of Office Administration in the UK! Get a Quick Look at The Course Content: This Office Administration Course will help you to learn: Employ advanced communication skills to thrive in any business environment. Implement organisational strategies to ensure efficiency and productivity. Master negotiation techniques to secure advantageous outcomes. Manage stress effectively to maintain a healthy work-life balance. Develop leadership qualities to excel in your chosen career path. This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Office Administration. 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 Office Administration 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? Individuals seeking a rewarding career in Office Administration. Existing professionals looking to refine their skills and climb the ladder. Business owners are eager to empower their teams with essential administrative expertise. Anyone seeking to enhance their organisational and communication skills for personal growth. Requirements You don't need any educational qualification or experience to enrol in the Office Administration 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 This UK-focused Office Administration course paves the way for a diverse range of rewarding careers, including: Executive Assistant - £32,000 to £48,000/year. Office Manager - £18,000 to £38,000/year. Sales Administrator - £17,000 to £28,000/year. Receptionist - £16,000 to £24,000/year. Customer Service Advisor - £18,000 to £26,000/year. Course Curriculum Office Administration Module 1: Introduction to Office Administration 00:17:00 Module 2: Skills of an Effective Administrator 00:18:00 Module 3: Business Writing Skills 00:39:00 Module 4: Communication Skills 00:27:00 Module 5: Managing Meetings and Giving Feedback 01:29:00 Module 6: Organisational Skills 01:18:00 Module 7: Telephone Etiquette 01:09:00 Module 8: Negotiation Techniques 00:18:00 Module 9: Conflict Management 00:16:00 Module 10: Stress Management 00:18:00 Module 11: Time Management 00:39:00 Assignment Assignment - Office Administration 00:00:00

In this competitive job market, you need to have some specific skills and knowledge to start your career and establish your position. This SEO Optimised Content Writing will help you understand the current demands, trends and skills in the sector. The course will provide you with the essential skills you need to boost your career growth in no time. The SEO Optimised Content Writing will give you clear insight and understanding about your roles and responsibilities, job perspective and future opportunities in this field. You will be familiarised with various actionable techniques, career mindset, regulations and how to work efficiently. This course is designed to provide an introduction to SEO Optimised Content Writing and offers an excellent way to gain the vital skills and confidence to work toward a successful career. It also provides access to proven educational knowledge about the subject and will support those wanting to attain personal goals in this area. Learning Objectives Learn the fundamental skills you require to be an expert Explore different techniques used by professionals Find out the relevant job skills & knowledge to excel in this profession Get a clear understanding of the job market and current demand Update your skills and fill any knowledge gap to compete in the relevant industry CPD accreditation for proof of acquired skills and knowledge Who is this Course for? Whether you are a beginner or an existing practitioner, our CPD accredited SEO Optimised Content Writing is perfect for you to gain extensive knowledge about different aspects of the relevant industry to hone your skill further. It is also great for working professionals who have acquired practical experience but require theoretical knowledge with a credential to support their skill, as we offer CPD accredited certification to boost up your resume and promotion prospects. Entry Requirement Anyone interested in learning more about this subject should take this SEO Optimised Content Writing. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. The course is open to students from any academic background, as there is no prerequisites to enrol on this course. The course materials are accessible from an internet enabled device at anytime of the day. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path The SEO Optimised Content Writing will help you to enhance your knowledge and skill in this sector. After accomplishing this course, you will enrich and improve yourself and brighten up your career in the relevant job market. Course Curriculum SEO Optimised Content Writing Module 01: What Is Content Writing? 00:18:00 Module 02: How To Write Saleable Content 00:20:00 Module 03: The Importance of SEO Based Content Writing 00:20:00 Module 04: Basics of SEO 00:30:00 Module 05: Essential SEO Skills for Content Writers 00:20:00 Module 06: How to Engage the Reader? 00:20:00 Module 07: Search Engine Optimization Process 00:30:00 Module 08: Off Page SEO 00:24:00 Module 09: Meta Tags Optimization 00:25:00 Module 10: The Importance of Keyword Research 00:30:00 Module 11: Keyword Strategy 00:25:00 Module 12: How to Make Any Content SEO-Friendly 00:30:00 Module 13: The Process of Good Writing 00:20:00 Module 14: Text Objectives 00:20:00 Module 15: How to Rewrite an Article 00:20:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

48-Hour Knowledge Knockdown! Prices Reduced Like Never Before! Quality patient care starts with a thorough understanding of the healthcare system, particularly in the field of Clinical Governance. If you're a healthcare professional seeking to enhance your knowledge and skills, this theoretical course on Quality Control in Healthcare and Clinical Audit is an absolute must. With comprehensive modules covering Clinical Governance, NHS, Clinical Effectiveness, Clinical Audit, confidentiality, legal and ethical considerations, and more, this course equips you with the knowledge you need to deliver exceptional patient care. Learning Outcomes: Gain a comprehensive understanding of Clinical Governance and its importance in healthcare Learn about the 7 Pillars of Clinical Governance and their implementation in the NHS Understand the legal and ethical considerations in healthcare practice Develop knowledge of Clinical Governance and audit to improve patient care Understand confidentiality in a medical environment and maintaining workplace safety Learn about the impact of Covid-19 on healthcare and its management Why Prefer this Quality Control in Healthcare and Clinical Audit Course? Opportunity to earn a certificate accredited by CPD QS after completing this Quality Control in Healthcare and Clinical Audit course Get a free student ID card! (£10 postal charge will be applicable for international delivery). Innovative and engaging content. Free assessments. 24/7 tutor support Quality Control in Healthcare and Clinical Audit is a theoretical course designed for healthcare professionals interested in Clinical Governance. This course covers a wide range of modules, including Clinical Governance, NHS, Clinical Effectiveness, Clinical Audit, confidentiality, information technology, legal and ethical aspects, workplace safety, and Covid-19 management. The Quality Control in Healthcare and Clinical Audit is ideal for professionals who want to enhance their understanding of the healthcare system, particularly those interested in Clinical Governance. The modules in this course provide a comprehensive understanding of the healthcare system, including legal and ethical considerations, clinical effectiveness, clinical audit, and confidentiality. Professionals in the UK who want to enhance their knowledge of the healthcare system and improve patient care should take this course. This course is particularly relevant for healthcare professionals interested in Clinical Governance and those involved in improving patient outcomes. Don't miss this opportunity to enhance your knowledge of Clinical Governance and improve patient outcomes. Enrol now in the Quality Control in Healthcare and Clinical Audit course to gain a comprehensive understanding of the healthcare system. Certification Upon successful completion of the Clinical Governance Course, learners can obtain a certificate as proof of their achievement. The following certificate options are available: PDF Certificate: A digital version of the certificate will be emailed to the learner upon request for only £10. Printed Hardcopy Certificate - UK Delivery: For learners within the United Kingdom, a high-quality printed hardcopy of the certificate can be delivered to your postal address for only £29. Printed Hardcopy Certificate - International Delivery: For learners residing outside the UK, a high-quality printed hardcopy of the certificate can be delivered to your international postal address for only £39. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Healthcare professionals Professionals interested in Clinical Governance Individuals interested in healthcare management Those looking to enhance their understanding of the healthcare system Professionals involved in improving patient outcomes Requirements You will not need any prior background or expertise. All you need to take this Quality Control in Healthcare and Clinical Audit is - A smart device. A secure internet connection. Being over the age of 16. And a strong drive for learning and literacy. Career path Clinical Governance Manager: £45,000 - £75,000 Quality Improvement Coordinator: £28,000 - £45,000 Healthcare Compliance Officer: £30,000 - £50,000 Clinical Audit Manager: £45,000 - £65,000 Healthcare Information Manager: £35,000 - £60,000

This comprehensive course equips you with the skills and knowledge needed to excel in the dynamic field of recruitment. Covering key aspects such as recruitment legislation, client acquisition, candidate management, and effective interviewing techniques, this program provides a comprehensive understanding of the recruitment process. Learn to navigate the challenges and opportunities of the recruitment industry and develop strategies for successful client engagement. Learning Outcomes: Recognize the significance and implications of recruitment in various industries. Understand the structure and functioning of the recruitment industry. Familiarize yourself with UK recruitment legislation to ensure compliance. Master sales and selling techniques specific to the recruitment sector. Gain expertise in the end-to-end recruitment process, from candidate attraction to client acquisition. Apply key performance indicators to measure success in the recruitment field. Develop effective candidate management and interview processes. Formulate strategies for client acquisition, strategy, and management. Why buy this Recruitment Advisor?  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 Recruitment Advisor you will be able to take the MCQ test that will assess your knowledge. 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 Recruitment Advisor course is ideal for Aspiring recruitment professionals looking to enter the industry. Current recruiters seeking to enhance their skills and knowledge. HR professionals interested in understanding recruitment processes. Individuals considering starting their own recruiting service. Prerequisites This Recruitment Advisor 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 Recruitment Consultant - Average Salary: £20,000 - £40,000 per year. Senior Recruitment Consultant - Average Salary: £25,000 - £50,000 per year. Recruitment Manager - Average Salary: £30,000 - £60,000 per year. Talent Acquisition Specialist - Average Salary: £25,000 - £45,000 per year. HR Manager - Average Salary: £35,000 - £60,000 per year. Course Curriculum Recruitment Advisor Module 01 - Introduction to Recruitment: Importance and Implications 00:17:00 Module 02 - An Overview of the Recruitment Industry 00:26:00 Module 03 - The UK Recruitment Legislation 00:19:00 Module 04 - Sales and Selling in the Recruitment Industry 00:11:00 Module 05 - The Recruitment Process 00:47:00 Module 06 - Key Performance Indicators for the Recruitment Industry 00:25:00 Module 07 - Candidate Attraction for Recruitment 00:35:00 Module 08 - Candidate Management 00:22:00 Module 09 - Candidate Interview Processes 00:24:00 Module 10 - Client Acquisition 00:36:00 Module 11 - Client Strategy in the Recruitment Sector 00:25:00 Module 12 - Client Management 00:27:00 Module 13 - Steps to Starting and Running a Successful Recruiting Service 00:23:00 Mock Exam Mock Exam - Recruitment 00:20:00 Final Exam Final Exam - Recruitment 00:20:00 Assignment Assignment - Recruitment Advisor 00:00:00

The Creative Problem Solving course offers an engaging and intellectually stimulating pathway into the world of innovative thinking and solution-finding. This course, structured into ten comprehensive modules, is tailored to empower you with the skills needed to approach problems with creativity and efficiency. Starting with the Problem Solving Method, it lays the groundwork for a deep understanding of systematic problem-solving techniques. As you move through the stages of information gathering and problem definition, the course fosters a mindset that looks beyond conventional solutions, encouraging a fresh perspective on problem-solving. The heart of the course lies in its focus on brainstorming and generating solutions, spread across two insightful modules. These segments are designed not just to spur creative thought but also to equip you with practical tools for idea generation. The journey continues through the analytical process of sifting through potential solutions, culminating in the selection of the most viable option. The course rounds off with pragmatic steps for implementation, including planning, execution, and the crucial aspect of recording lessons learned, ensuring that each problem solved adds to a repository of experience and knowledge. Learning Outcomes Develop a structured approach to solving problems creatively. Enhance skills in gathering and interpreting relevant information. Cultivate the ability to define problems clearly and accurately. Learn innovative brainstorming techniques for solution generation. Master the art of analyzing and selecting the most effective solutions. Why choose this Creative Problem Solving 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 Creative Problem Solving course for? Professionals seeking to improve their problem-solving skills. Team leaders and managers aiming to foster creative thinking in their teams. Individuals interested in enhancing their analytical and decision-making abilities. Entrepreneurs looking for innovative approaches to business challenges. Students and lifelong learners aspiring to develop critical thinking skills. Career path Innovation Manager - £35,000 to £60,000 Business Analyst - £30,000 to £50,000 Project Manager - £33,000 to £55,000 Strategy Consultant - £40,000 to £70,000 Product Manager - £35,000 to £60,000 Marketing Strategist - £28,000 to £50,000 Prerequisites This Creative Problem Solving does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course 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 Module One: The Problem Solving Method The Problem Solving Method 00:09:00 Module Two: Information Gathering Information Gathering 00:08:00 Module Three: Problem Definition Problem Definition 00:11:00 Module Four: Preparing for Brainstorming Preparing for Brainstorming 00:10:00 Module Five: Generating Solutions (I) Generating Solutions (I) 00:10:00 Module Six: Generating Solutions (II) Generating Solutions (II) 00:11:00 Module Seven: Analyzing Solutions Analyzing Solutions 00:08:00 Module Eight: Selecting a Solution Selecting a Solution 00:07:00 Module Nine: Planning Your Next Steps Planning Your Next Steps 00:07:00 Module Ten: Recording Lessons Learned Recording Lessons Learned 00:07:00

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 Stress Management Training 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 Stress Management Training Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Stress Management Training 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 Stress Management Training 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 Stress Management Training? 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 Stress Management Training 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 Stress Management Training 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 Stress Management Training does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Stress Management Training 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 Stress Management Training is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Stress Management Training Beginning Concepts 00:23:00 Specific Stress Management Techniques 00:11:00 MORE Stress Reduction Strategies 00:16:00 00:00 Still MORE Stress Reduction Techniques - Part 2 00:07:00 Still MORE Stress Reduction Techniques - Part 3 00:09:00 BONUS Video & Wrap Up! 00:11:00 Special LIVE Bonus Video! 00:05:00

Embark on a melodious journey with 'Voice Equipment Mastery: Effective Vocal Techniques', where the symphony of knowledge and technology harmoniously intertwines to elevate your vocal production skills. This course orchestrates a comprehensive exploration into the realm of voice-over equipment, ensuring that your vocal renditions are not just heard, but resonate with unparalleled clarity and impact. From the subtle whispers of an intimate narrative to the robust proclamation of an epic tale, your voice, amplified and refined through optimal equipment use, will traverse the airwaves with precision and emotion. Your expedition through the modules will guide you through the meticulous selection and utilisation of microphones, ensuring every nuance of your voice is captured with fidelity. The journey doesn't stop there; it further immerses you into the world of headphones, monitoring, and the pivotal role of audio interfaces and preamps in achieving sonic excellence. With each lesson, you'll unravel the secrets behind crafting a sound that is authentically yours, ensuring your vocal productions are both compelling and emotionally resonant. Learning Outcomes Identify and utilise optimal voice-over equipment, enhancing vocal recording quality. Implement effective microphone techniques to capture varied vocal performances. Establish a proficient studio setup, incorporating suitable acoustic treatments. Navigate voice-over software and editing tools to refine vocal recordings. Execute equipment maintenance and troubleshooting to ensure consistent audio quality. Why buy this Voice Equipment Mastery: Effective Vocal Techniques? 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 Voice Equipment Mastery: Effective Vocal Techniques for? Aspiring voice-over artists seeking technical mastery in vocal recording. Audio engineers desiring a focused understanding of vocal recording equipment. Podcasters looking to elevate the quality of their vocal productions. Narrators wishing to enhance the clarity and impact of their storytelling. Vocalists aiming to independently record and produce their performances. Career path Voice-Over Artist: £20,000 - £80,000 Audio Engineer: £25,000 - £50,000 Podcast Producer: £20,000 - £40,000 Audiobook Narrator: £20,000 - £45,000 Sound Designer: £25,000 - £55,000 Recording Engineer: £20,000 - £50,000 Prerequisites This Voice Equipment Mastery: Effective Vocal Techniques does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course 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 Module 1: Introduction to Voice Over Equipment Introduction to Voice Over Equipment 00:17:00 Module 2: Microphones for Voice Over Microphones for Voice Over 00:21:00 Module 3: Headphones and Monitoring Headphones and Monitoring 00:22:00 Module 4: Audio Interfaces and Preamps Audio Interfaces and Preamps 00:23:00 Module 5: Acoustic Treatment and Studio Setup Acoustic Treatment and Studio Setup 00:23:00 Module 6: Voice Over Software and Editing Tools Voice Over Software and Editing Tools 00:22:00 Module 7: Equipment Maintenance and Troubleshooting Equipment Maintenance and Troubleshooting 00:22:00

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 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

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