42943 Learning courses in Sheffield delivered Online

24 Hour Flash Deal **25-in-1 Transport Engineering Advanced Diploma Mega Bundle** Transport Engineering Advanced Diploma Enrolment Gifts **FREE PDF Certificate**FREE PDF Transcript ** FREE Exam** FREE Student ID ** Lifetime Access **FREE Enrolment Letter ** Take the initial steps toward a successful long-term career by studying the Transport Engineering Advanced Diploma package online with Studyhub through our online learning platform. The Transport Engineering Advanced Diploma bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass. This Transport Engineering Advanced Diploma course provides complete 360-degree training on Transport Engineering Advanced Diploma. You'll get not one, not two, not three, but twenty-five Transport Engineering Advanced Diploma courses included in this course. Plus Studyhub's signature Forever Access is given as always, meaning these Transport Engineering Advanced Diploma courses are yours for as long as you want them once you enrol in this course This Transport Engineering Advanced Diploma Bundle consists the following career oriented courses: Course 01: Transport Manager Course 02: Import/Export (International Trade) Management & Processing Course 03: Logistic Management Course 04: Operations Management Course 05: Transport & Logistic Management Course 06: Logistics Management and Lean Production Principles Course 07: Supply Chain Management Course 08: Product Management Course 09: Procurement, Logistic and Quality Management Course 10: Project and Operation Management Course 11: Facilities Management Course 12: Warehouse Management Course 13: Inventory Management Course 14: Performance Management Course 15: Warehouse Safety Course 16: Warehouse Operative Course 17: Manual Handling Training Course 18: Telehandler and Forklift Certification Course 19: Quality Manager Course 20: Risk Assessment & Management Course 21: Port Management Course 22: Material Management Course 23: FMCG Training for Operator Manager Course 24: Commercial Law and Consumer Protection Training Course 25: Site Management Safety Training Scheme (SMSTS) The Transport Engineering Advanced Diploma course has been prepared by focusing largely on Transport Engineering Advanced Diploma career readiness. It has been designed by our Transport Engineering Advanced Diploma specialists in a manner that you will be likely to find yourself head and shoulders above the others. For better learning, one to one assistance will also be provided if it's required by any learners. The Transport Engineering Advanced Diploma Bundle is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Transport Engineering Advanced Diploma bundle course has been created with twenty-five premium courses to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Transport Engineering Advanced Diploma Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into Transport Engineering Advanced Diploma Elementary modules, allowing our students to grasp each lesson quickly. The Transport Engineering Advanced Diploma course is self-paced and can be taken from the comfort of your home, office, or on the go! With our Student ID card you will get discounts on things like music, food, travel and clothes etc. In this exclusive Transport Engineering Advanced Diploma bundle, you really hit the jackpot. Here's what you get: Step by step Transport Engineering Advanced Diploma lessons One to one assistance from Transport Engineering Advanced Diplomaprofessionals if you need it Innovative exams to test your knowledge after the Transport Engineering Advanced Diplomacourse 24/7 customer support should you encounter any hiccups Top-class learning portal Unlimited lifetime access to all twenty-five Transport Engineering Advanced Diploma courses Digital Certificate, Transcript and student ID are all included in the price PDF certificate immediately after passing Original copies of your Transport Engineering Advanced Diploma certificate and transcript on the next working day Easily learn the Transport Engineering Advanced Diploma skills and knowledge you want from the comfort of your home CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Transport Engineering Advanced Diploma training is suitable for - Students Recent graduates Job Seekers Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise in Transport Engineering Advanced Diploma Requirements To participate in this Transport Engineering Advanced Diploma course, all you need is - A smart device A secure internet connection And a keen interest in Transport Engineering Advanced Diploma Career path You will be able to kickstart your Transport Engineering Advanced Diploma career because this course includes various courses as a bonus. This Transport Engineering Advanced Diploma is an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore Transport Engineering Advanced Diploma career opportunities. Certificates CPD Accredited Certificate Digital certificate - Included CPD Accredited e-Certificate - Free CPD Accredited Hardcopy Certificate - Free Enrolment Letter - Free Student ID Card - Free

Level 2, 3 & 4 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 10 CPD Courses | Lifetime Access

3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | 10 CPD Courses | Lifetime Access | 24/7 Tutor Support

3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | 10 CPD Courses | Lifetime Access | 24/7 Tutor Support

3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | 10 CPD Courses | Lifetime Access | 24/7 Tutor Support

***24 Hour Limited Time Flash Sale*** Accountancy, Tax Accounting & Xero Accounting and Bookkeeping Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Welcome to an unparalleled learning experience with our comprehensive 'Accountancy, Tax Accounting & Xero Accounting and Bookkeeping' bundle. This is an exceptional blend of eight theoretical courses tailored for those who aspire to unlock the secrets of the accounting world. Your journey through the labyrinth of numbers begins here! Unearth the treasures of three QLS endorsed courses in Tax Accounting, Xero Accounting and Bookkeeping Online, and a Diploma in Accountancy. Deepen your understanding of these pivotal areas and get a hardcopy certificate upon completion, attesting to your knowledge and dedication. Supplementing these are five CPD QS accredited courses, including an Introduction to Accounting, Managerial Accounting Masterclass, and a complete course on Microsoft Excel 2019. Further specialise with the Theory of Constraints, Throughput Accounting, and Lean Accounting courses. Immerse yourself in the 'Accountancy, Tax Accounting & Xero Accounting and Bookkeeping' bundle. A fulfilling journey of theoretical exploration awaits you! Key Features of the Accountancy, Tax Accounting & Xero Accounting and Bookkeeping Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Accountancy, Tax Accounting & Xero Accounting and Bookkeeping bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Tax Accounting QLS Course 02: Xero Accounting and Bookkeeping Online QLS Course 03: Diploma in Accountancy 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Introduction to Accounting Course 02: Xero Accounting and Bookkeeping Online Course 03: Managerial Accounting Masterclass Course 04: Theory of Constraints, Throughput Accounting and Lean Accounting Course 05: Microsoft Excel Complete Course 2019 In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Accountancy, Tax Accounting & Xero Accounting and Bookkeeping courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes of the Accountancy, Tax Accounting & Xero Accounting and Bookkeeping Bundle: By the end of this Accountancy, Tax Accounting & Xero Accounting and Bookkeeping bundle course, learners will be able to: Gain a strong foundational knowledge of accountancy and tax accounting. Understand the nuances of Xero Accounting and Bookkeeping. Enhance your knowledge of managerial accounting practices. Learn the Theory of Constraints, Throughput Accounting and Lean Accounting. Develop skills in using Microsoft Excel for accounting purposes. Obtain a comprehensive introduction to the accounting industry. Be equipped to take on various roles within the accounting sector. The 'Accountancy, Tax Accounting & Xero Accounting and Bookkeeping' bundle brings together eight distinct courses, each designed to provide theoretical insights into different facets of the accounting industry. Each course in this bundle dives into the theoretical aspects of important topics, from Tax Accounting to Managerial Accounting and Xero Bookkeeping. Whether it's comprehending the Theory of Constraints or mastering Microsoft Excel, the courses in this bundle promise a well-rounded understanding of the essentials. Not only do they boost your knowledge, but they also open new avenues of opportunity in your professional journey. Delve into the theoretical complexities of accountancy and let your understanding guide your career. CPD 280 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Accountancy, Tax Accounting & Xero Accounting and Bookkeeping bundle course is ideal for: Aspiring individuals intending to start a career in accountancy or finance. Existing professionals seeking to expand their theoretical knowledge. Students studying accounting or related disciplines. Individuals interested in understanding the theoretical aspects of accounting. Career path Tax Accountant: Approximate Salary -£30,000 to £50,000 per annum Xero Bookkeeper: Approximate Salary -£25,000 to £35,000 per annum Accountant: Approximate Salary -£30,000 to £60,000 per annum Managerial Accountant: Approximate Salary -£40,000 to £60,000 per annum Financial Analyst: Approximate Salary -£30,000 to £55,000 per annum Excel Data Analyst: Approximate Salary -£25,000 to £45,000 per annum Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

Learning Outcomes for 'Minor Illness Update' Day for Experienced Registered Healthcare Professionals   By catering to experienced registered healthcare professionals already practicing in the area of minor illness, this 'Minor Illness Update' Day equips participants to elevate their existing skills, apply the latest insights, and enhance patient care through informed, compassionate, and effective practices. Agenda: 09.15Coffee and registration 09.30Introduction and course objectives 09.40Perspective on changes and safe practice within primary care 10.00Respiratory Tract infections 10.45Coffee 11.00Ears, Nose and Throat 13.00Lunch 14.00Abdominal pain and UTIs 14.30Head, Neck and Back Pain 14.30Eye infections 15.00Skin Rashes 15.30Injuries 15.45Evaluations and Close Learning Outcomes: Upon completion of the 'Minor Illness Update' Day, aimed at registered and experienced healthcare professionals already practicing in the field of minor illness, participants will be able to: 1. Stay Current in Minor Illness Management: - Demonstrate an updated and well-informed understanding of the latest developments in minor illness management within the primary care context. - Stay informed about current prescribing guidelines and adjustments in the field of minor illness treatment. 2. Critical Analysis of Consultation Dynamics: - Exhibit a critical comprehension of the significant dynamics at play during patient consultations related to minor illness cases. - Apply analytical skills to assess the complexities of patient presentations and prioritize appropriate diagnostic and treatment strategies. 3. Effective Problem-Solving in Practice: - Discuss and analyse practical challenges that arise during minor illness consultations, and propose effective solutions tailored to individual patient needs. - Employ problem-solving abilities to navigate diverse patient scenarios, enhancing overall patient care. 4. Integration of Attitudes and Values: - Develop an understanding of how personal attitudes and values may influence patient interactions and treatment decisions. - Apply self-awareness to ensure professional conduct aligns with ethical and patient-centred principles. 5. Awareness of Professional Growth: - Recognize the ongoing nature of professional development and the importance of staying updated in the rapidly evolving field of minor illness management. - Acknowledge the responsibility for continuous growth, embracing opportunities for learning and improvement. 6. CPD Contribution and Revalidation: - Identify the applicability of these study days as part of Continuing Professional Development (CPD) requirements for experienced registered healthcare professionals already practicing in minor illness. - Understand how participation contributes to professional revalidation, ensuring compliance with professional standards. 7. Virtual Engagement for Learning: - Leverage virtual learning environments effectively to enhance knowledge and skills related to minor illness management. - Demonstrate adaptability in engaging with virtual platforms for professional development and learning. 8. Holistic Patient Care Approach: - Integrate the acquired knowledge to provide holistic care to patients presenting with minor illness, recognizing the interconnectedness of physical and psychosocial aspects. - Foster a patient-centred approach by considering patients' needs, preferences, and well-being.  

24 Hour Flash Deal **33-in-1 Advertising Manager & Copywriter Mega Bundle** Advertising Manager & Copywriter Enrolment Gifts **FREE PDF Certificate**FREE PDF Transcript ** FREE Exam** FREE Student ID ** Lifetime Access **FREE Enrolment Letter ** Take the initial steps toward a successful long-term career by studying the Advertising Manager & Copywriter package online with Studyhub through our online learning platform. The Advertising Manager & Copywriter bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass. This Advertising Manager & Copywriter course provides complete 360-degree training on Advertising Manager & Copywriter. You'll get not one, not two, not three, but 33 Advertising Manager & Copywriter courses included in this course. Plus Studyhub's signature Forever Access is given as always, meaning these Advertising Manager & Copywriter courses are yours for as long as you want them once you enrol in this course. This Advertising Manager & Copywriter Bundle consists the following career oriented courses: Complete Online Marketing & Advertising Course Lead Generation and Attraction Marketing Training Learn to Drive Traffic into Sales through Digital Marketing Content Writing & Copywriting For SEO and Sales Simple Copywriting Secrets: How to Write Killer Sales Copy Basic Social Media Marketing Telemarketing Facebook Marketing Sales and Marketing: Email Marketing Determining Market Size for Your Product Unlocking the Power of Google Adwords for Digital Marketing Google Ads Training Linkedin Marketing Instagram Marketing Youtube Marketing Blogging ChatGPT for Marketing Content and Productivity with AI Tools Brand Branding Social Media Influencer Level 4 Diploma in Sales and Marketing Management Marketing Management Customer Relationship Management Strategic Planning and Analysis for Marketing B2B Sales & Marketing Strategies: Winning in Business-to-Business Sales Sales Training: Practical Sales Techniques Learn to Create A Selling Strategy that Drives Sales Content Marketing Certification Course NLP For Sales, Persuasion & Influence Step-by-Step Guide to Determining Your Target Market Affiliate Marketing ETSY Marketing and Business Marketing Strategies for Business Know Your Customer (KYC) In this exclusive Advertising Manager & Copywriter bundle, you really hit the jackpot. Here's what you get: Step by step Advertising Manager & Copywriter lessons One to one assistance from Advertising Manager & Copywriterprofessionals if you need it Innovative exams to test your knowledge after the Advertising Manager & Copywritercourse 24/7 customer support should you encounter any hiccups Top-class learning portal Unlimited lifetime access to all 33 Advertising Manager & Copywriter courses Digital Certificate, Transcript and student ID are all included in the price PDF certificate immediately after passing Original copies of your Advertising Manager & Copywriter certificate and transcript on the next working day Easily learn the Advertising Manager & Copywriter skills and knowledge you want from the comfort of your home The Advertising Manager & Copywriter course has been prepared by focusing largely on Advertising Manager & Copywriter career readiness. It has been designed by our Advertising Manager & Copywriter specialists in a manner that you will be likely to find yourself head and shoulders above the others. For better learning, one to one assistance will also be provided if it's required by any learners. The Advertising Manager & Copywriter Bundle is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Advertising Manager & Copywriter bundle course has been created with 33 premium courses to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Advertising Manager & Copywriter Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into Advertising Manager & Copywriter Elementary modules, allowing our students to grasp each lesson quickly. The Advertising Manager & Copywriter course is self-paced and can be taken from the comfort of your home, office, or on the go! With our Student ID card you will get discounts on things like music, food, travel and clothes etc. CPD 330 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Advertising Manager & Copywriter training is suitable for - Students Recent graduates Job Seekers Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise in Advertising Manager & Copywriter. Requirements To participate in this Advertising Manager & Copywriter course, all you need is - A smart device A secure internet connection And a keen interest in Advertising Manager & Copywriter. Career path You will be able to kickstart your Advertising Manager & Copywriter career because this course includes various courses as a bonus. This Advertising Manager & Copywriteris an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore Advertising Manager & Copywriter career opportunities. Certificates CPD Accredited Certificate Digital certificate - Included CPD Accredited Hardcopy Certificate - Free Enrolment Letter - Free Student ID Card - Free

Free Level 5 QLS Endorsed Certificate | CPD Accredited | 120 CPD Points | Advanced Learning Materials | Lifetime Access

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm