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***Limited Time Exclusive Bundle*** Get Hard Copy + PDF Certificates + Transcript + Student ID Card + e-Learning App as a Gift - Enrol Now Tired of browsing and searching for a Database Administrator course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this extensive bundle that has everything you need to succeed. After surveying thousands of learners just like you and considering their valuable feedback, this all-in-one Database Administrator bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Database Administrator course that will enhance your skills and prepare you for the competitive job market. Also, our experts are available for answering your queries on Database Administrator and help you along your learning journey. Advanced audio-visual learning modules of these Database Administrator courses are broken down into little chunks so that you can learn at your own pace without being overwhelmed by too much material at once. Furthermore, to help you showcase your expertise in Database Administrator, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest. This Database Administrator Bundle Consists of the following Premium courses: Course 01: Introduction to Data Analysis Course 02: Data Center Training Essentials: General Introduction Course 03: Data Analytics with Tableau Course 04: Basic Google Data Studio Course 05: Complete Google Analytics Course Course 06: Python for Data Analysis Course 07: Data Analysis in Excel Level 3 Course Course 08: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query Course 09: GDPR Data Protection Level 5 Course 10: Level 3 Cyber Security Course 11: Encryption Course 12: Windows 10 Pro Complete Training Course 13: Functional Skills IT Course 14: Learning Computers and Internet Level 2 Benefits you'll get choosing Apex Learning: Pay once and get lifetime access to 14 CPD courses Free e-Learning App for engaging reading materials & helpful assistance Certificates, student ID for the title course included in a one-time fee Free up your time - don't waste time and money travelling for classes Accessible, informative modules designed by expert instructors Learn at your ease - anytime, from anywhere Study the course from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills Gain valuable knowledge without leaving your home How will I get my Certificate? After successfully completing the course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (For The Title Course) Hard Copy Certificate: Free (For The Title Course) The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Database Administrator expertise and essential knowledge, which will assist you in reaching your goal. Curriculum of Bundle Course 01: Introduction to Data Analysis Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding Course 02: Data Center Training Essentials: General Introduction Module 01: Data Center Introduction Module 02: Data Center Reliability Module 03: Data Center Equipment Module 04: Data Center White Space Module 05: Data Center Support Spaces Module 06: Data Center Security, Safety, Networks and IT Course 03: Data Analytics with Tableau Module 01: Introduction to the Course Module 02: Project 1: Discount Mart (Sales and Profit Analytics) Module 03: Project 2: Green Destinations (HR Analytics) Module 04: Project 3: Superstore (Sales Agent Tracker) Module 05: Northwind Trade (Shipping Analytics) Module 06: Project 5: Tesla (Stock Price Analytics) Module 07: Bonus: Introduction to Database Concepts Module 08: Tableau Stories Course 04: Basic Google Data Studio Module 01: Introduction to GDS Module 02: Data Visualization Module 03: Geo-visualization Module 04: A Socio-Economic Case Study Course 05: Complete Google Analytics Course Module 01: Overview Module 02: Navigation and Admin Module 03: Creating a New Google Analytics Account Module 04: Website Account Creation Module 05: Connecting To WordPress Website Module 06: Connecting To HTML Site Module 07: Connect Custom Page and Site Builders Module 08: Setting Up Annotations Module 09: Setting Up Intelligence Events Module 10: Set Up Custom Segments Module 11: Export Data for Analysis Module 12: Set Up Custom Reports Module 13: Set Up Google Integrations Module 14: Google Analytics Templates Module 15: Real Time Reporting Module 16: Setting Up Goals Module 17: Third Party Integrations Module 18: Audience Menu Overview Module 19: Interests and Geography Module 20: Conclusion Course 06: Python for Data Analysis Welcome, Course Introduction & overview, and Environment set-up Python Essentials Python for Data Analysis using NumPy Python for Data Analysis using Pandas Python for Data Visualization using matplotlib Python for Data Visualization using Seaborn Python for Data Visualization using pandas Python for interactive & geographical plotting using Plotly and Cufflinks Capstone Project - Python for Data Analysis & Visualization Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Python for Machine Learning - scikit-learn - Logistic Regression Model Python for Machine Learning - scikit-learn - K Nearest Neighbors Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Python for Machine Learning - scikit-learn - K Means Clustering Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Recommender Systems with Python - (Additional Topic) Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Course 07: Data Analysis in Excel Level 3 Course Modifying a Worksheet Working with Lists Analyzing Data Visualizing Data with Charts Using PivotTables and PivotCharts Working with Multiple Worksheets and Workbooks Using Lookup Functions and Formula Auditing Automating Workbook Functionality Creating Sparklines and Mapping Data Forecasting Data Course 08: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query Introduction Prepaid Expenses Models: Resources Download Accounting for Prepaid Expenses Excel Formulas Detailed: Introduction to three Excel Models Formula Based Prepaid Expenses Model Calculate Prepaid Expenses Amortisation from Exact Start Date Prepaid Expenses Summary with Power Query and Pivot Table Advanced VBA Prepaid Expenses Amortisation Model BONUS: Dynamic Dashboard for Divisional Profit and Loss statements: Easy Way Power Query & Pivot Tables based Dashboard without any Formulas, Fully Dynamic Thankyou Course 09: GDPR Data Protection Level 5 Module 01: GDPR Basics Module 02: GDPR Explained Module 03: Lawful Basis for Preparation Module 04: Rights and Breaches Module 05: Responsibilities and Obligations Course 10: Level 3 Cyber Security FUNDAMENTALS OF NETWORKING GETTING STARTED WITH CYBER SECURITY LET'S BEGIN - THE FUNDAMENTALS OF CYBER SECURITY DIVING DEEP INTO CYBER SECURITY TYPES OF ACTORS, ATTACKS, MALWARE AND RESOURCES FIREWALLS AND ANTIVIRUS KEY SECURITY CONCEPTS Course 11: Encryption Section 01: Introduction Section 02: Basics of Common Encryption Section 03: Technical Aspects of Encryption Section 04: AES Basic Tech Demo Section 05: File and System Encryption Section 06: Conclusion Course 12: Windows 10 Pro Complete Training Module 01: Course Overview Module 02: Building Your Virtual Lab Environment Module 03: Upgrading Windows 7, 8, or 8.1 to Windows 10 Module 04: Building a Microsoft Server 2016 Domain Module 05: Windows Deployment Services (WDS) Module 06: Windows 10 Firewall, Windows Defender and UAC Module 07: Networking Module 08: Troubleshooting Module 09: User Preferences Module 10: Maintenance Course 13: Functional Skills IT Section 1: Introduction Section 2: Information Technology Section 3: Components of IT Section 4: Hardware Section 5: Operating System Section 6: Application/Software Section 7: Networking Section 8: Security Section 9: Traffic Flow & Enterprise Level IT Components Section 10: Storage Section 11: Database Section 12: Virtualisation & Cloud Section 13: Management & Other IT Jobs Course 14: Learning Computers and Internet Level 2 Module 01 : Computer Operating and Troubleshooting Module 02 : Internet and Computing - Key Applications Module 03 : Internet and Computing - Tools & Networking Module 04 : Windows 8 for PC Module 05 : Windows 10 - New Developments Module 06 : Cyber Security Awareness CPD 160 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Database Administrator bundle. Requirements Our Database Administrator course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. Career path Having this Database Administrator expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included P.S. The delivery charge inside the UK is £3.99, and the international students have to pay £9.99.

The Car Maintenance course provides comprehensive training on car safety rules, general maintenance, dashboard indicator lights, tyres, internal combustion engines, cooling systems, fuel systems, electrical systems, drive train, and brakes. It also covers essential topics related to buying a car and preparing for driving tests. Learning Outcomes: Understand safety rules and acquire knowledge of essential tools for car maintenance. Learn general maintenance techniques to keep cars in good working condition. Identify and interpret dashboard indicator lights to address potential issues. Gain knowledge of tyre maintenance and care for better performance and safety. Acquire understanding of internal combustion engines and engine oil management. Learn about the cooling system, fuel system, electrical system, and drive train of cars. Familiarize yourself with brake maintenance and safety measures. Acquire essential skills for buying a car and making informed decisions. Prepare effectively for the driving test and gain knowledge of road rules and markings. Understand driving in adverse weather conditions and how to handle breakdowns and incidents. Learn practical test preparation and essential tips for the day of the driving test. Understand the driving test process and receive guidance on interpreting the test results. Gain practical advice and tips to remember for safe and responsible driving. Why buy this Driver Safety Level 4 Course and Vehicle Maintenance Training? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Certification After studying the course materials of the Driver Safety Level 4 Course and Vehicle Maintenance Training 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 Driver Safety Level 4 Course and Vehicle Maintenance Training does not require you to have any prior qualifications or experience. You can just enrol and start learning.  Prerequisites This Driver Safety Level 4 Course and Vehicle Maintenance 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 Fleet Manager: £30,000 - £60,000 per year Commercial Truck Driver: £25,000 - £45,000 per year Vehicle Maintenance Technician: £20,000 - £40,000 per year Logistics Manager: £30,000 - £70,000 per year Safety and Compliance Officer: £25,000 - £50,000 per year Driving Instructor (specializing in driver safety): £20,000 - £40,000 per year Course Curriculum Car Maintenance Module 01: Safety Rules & Introduction to Tools Module 1: Introduction to Safety and Maintenance 00:10:00 Module 02: General Maintenance for Car Mechanics Module 2: General Maintenance 00:10:00 Module 03: Dashboard Indicator Lights Module 3: Dashboard Indicator Lights 00:10:00 Module 04: Tyres Module 4: Tyres 00:05:00 Module 05: Internal Combustion Engines & Engine Oil Module 5: The Internal Combustion Engine 00:05:00 Module 06: The Cooling System Module 6: The Cooling System 00:05:00 Module 07: The Fuel System Module 7: The Fuel System 00:05:00 Module 08: The Electrical System Module 8: The Electrical System 00:05:00 Module 09: The Drive Train Module 9: The Drive Train 00:05:00 Module 10: Brakes Module 10: Brakes 00:05:00 Module 11: Buying a Car Module 11: Buying a Car 00:05:00 Driving Test Preparation Module 01: DRIVING TEST Module 01: Driving Test 00:20:00 Module 02: Rules for Pedestrians and Users of Powered Wheelchairs and Mobility Scooters Module 02: Rules For Pedestrians and Users of Powered Wheelchairs and Mobility Scooters 00:30:00 Module 03: General Rules, Techniques and Advice for All Drivers and Riders Module 03: General Rules, Techniques and Advice for All Drivers And Riders 00:43:00 Module 04: Rules for Drivers and Motorcyclists Module 04: Rules for Drivers And Motorcyclists 00:27:00 Module 05: Driving in Adverse Weather Conditions Module 05: Driving in Adverse Weather Conditions 00:28:00 Module 06: Signs, Signals and Road Markings Module 06: Signs, Signals and Road Markings 00:36:00 Module 07: Maintenance, Breakdowns and Other Incidents Module 07: Maintenance, Breakdowns and Other Incidents 00:30:00 Module 08: Using the Road and Parking Module 08: Using the Road and Parking 00:45:00 Module 09: DSA Practical Driving Test Module 09: DSA Practical Driving Test 00:21:00 Module 10: Preparation for the Test Module 10: Preparation for the Test 00:08:00 Module 11: Day of the Test Module 11: Day of the Test 00:11:00 Module 12: Your Test Result Module 12: Your Test Result 00:11:00 Module 13: Things to Remember Module 13: Things to Remember 00:17:00

This Pharmacy Assistant & Pharmacy Technician course is customized only for you! Do you want to advance your career in the healthcare industry? Or, are you looking for a way to contribute to community health care without performing clinical duties? If you're considering a career in the pharmaceutical industry, then you've come to the right place. This Pharmacy Assistant & Pharmacy Technician course teaches you everything you need to know to become a Pharmacy Technician or Pharmacy Technician Assistant and provide support and stability to your team. By enrolling on our Pharmacy Assistant & Technician course, you will become familiar with the roles and responsibilities of a Pharmacy Assistant or Technician. This comprehensive Pharmacy Assistant and Technician course will teach you the fundamental techniques of a Pharmacy worker and how to successfully counsel and diagnose a patient. You will also gain experience in the practice of prescribing and dispensing medication, as well as stock control and inventory management. Along with this, you will gain knowledge of medical health and safety standards and security protocols associated with legal drugs. Enrol in this Pharmacy Assistant & Technician course now and start your career in the UK's healthcare sector.Learning Outcomes After completing Pharmacy Assistant & Pharmacy Technician course, the learner will be able to: Understand the requirements needed to be a Pharmacy Technician or Assistant. Know how to counsel or communicate with patients and customers. Become aware of your position in the UK Healthcare infrastructure. Gain the ability to prescribe and dispense medication swiftly. Know to control and manage a medical inventory. Gain a solid understanding of the Standard Operating Procedures in a medical environment. Gain the skills to perform a full medical assessment on a patient. Why Choose Pharmacy Assistant & Pharmacy Technician Course from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. Pharmacy Assistant & Technician Course developed by industry experts. MCQ quiz after each module to assess your learning. Automated and instant assessment results. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as you complete this course. ***Pharmacy Assistant & Technician Bundle Course Course 01: Pharmacy Assistant & Technician Course 02: Healthcare Management Training Course 03: Level 3 Diploma in Healthcare Support Course 04: Level 2 Award in Nutrition and Health Course 05: Ambulance Care Assistant Course 06: Level 3 Award in Health and Social Care Course Course 07: Practice Nurse Course 08: Nurse Prescribing Course 09: Phlebotomist Course 10: Medical Transcription Course 11: Control and Administration of Medicines Course 12: Medical Terminology Course 13: Nursing & Prescribing Course 14: Forensic Science Course 15: Electrical Safety Training ***Other Benefits of this Pharmacy Assistant & Pharmacy Technician Bundle Course Free 15 PDF Certificate Access to Content - Lifetime Exam Fee - Totally Free Free Retake Exam [ Note: Free PDF certificate as soon as completing the Pharmacy Assistant & Pharmacy Techniciancourse] Course Curriculum of *** Pharmacy Assistant & Technician *** Module 1: An Overview of Pharmacy Assistant and Technician What is Pharmacy? Defining Pharmacy Assistant Understanding the Job Role of Pharmacy Assistant Understanding the Skills of Pharmacy Assistant Defining Pharmacy Technician Understanding the Job Role of Pharmacy Technicians Module 2: Understanding the Pharmacy Assistant Patient Counselling Guide Overview Features of Effective Patient Counselling Why Should Pharmacy Assistant Counsel Patients? Techniques of Counselling How to Improve Communication in Pharmacists Module 3: Understanding Communication in Pharmacy Settings Why Communication Skills is Important in Pharmacies Understanding Patient-Centred Communication Practices in Community Pharmacies What are the Desirable Traits? Interpersonal Communication Skills for Pharmacies Module 4: Understanding the Pharmacy Team and Practices Self-care Interventions for Health The Role of the Pharmacy Team in Self-Care and Self-Medication Understanding the Code of Ethics for Pharmacy Team Workers What are the Seven Principles? Module 5: Understanding Prescription and Dispensing in Pharmacies What is a Prescription? Types of Prescription What is the Dispensing Cycle? Receiving and Validating Prescriptions Interpreting and Understanding the Prescription Prepare and Label Items for Issue Make a Final Check Record the Action Taken Issue Medicine to the Patient with Clear Instructions and Advice Module 6: Understanding Dispensing Methods, EPS, Minimising Dispensing Errors in Pharmacies Dispensing Procedure Dispensing Error Strategies to Minimise Dispensing Errors Understanding Electronic Prescription Service(EPS) Module 7: Understanding Inventory Control and Management in Pharmacies Overview What is Inventory Management? Methods of Inventory Management Elements of Pharmacy Inventory Management Factors Affecting Inventory Management The Role of Information Technology in Inventory Management Module 8: Understanding Standard Operating Procedures (SOPs) What is Standard Operating Procedure? Understanding the Importance of Standard Operating Procedure Purpose of SOPs Module 9: Understanding Health and Safety Risks Assessment and Pharmaceutical Terminology Overview Understanding Basic Pharmacy Terminology ----------------------- Assessment Method After completing each module of the Pharmacy Assistant & Technician Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Once you complete all the modules in this manner, you will be qualified to request your certification. Certification After completing the MCQ/Assignment assessment for Pharmacy Assistant & Technician course, you will be entitled to a Certificate of Completion from Training Tale. It will act as proof of your extensive professional development. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? This Pharmacy Assistant & Pharmacy Technician course is ideal for those interested in becoming pharmacy technicians or those looking to make a career in the medical field. Requirements There are no specific requirements for this Pharmacy Assistant & Pharmacy Technician course because it does not require any advanced knowledge or skills. Students who intend to enrol in this course must meet the following requirements: Good command of the English language Must be vivacious and self-driven Basic computer knowledge A minimum of 16 years of age is required Career path This Pharmacy Assistant & Pharmacy Technician qualification is beneficial for any healthcare profession or career from any industry you are in, such as: Pharmacist's Assistant Pharmacy Technician Hospital Clerk Pharmacist Certificates Certificate of completion Digital certificate - Included

Register on the Business Data Analysis today and build the experience, skills and knowledge you need to enhance your development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The Business Data Analysis is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! Why Choose this Course Earn a digital Certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of- Video lessons Online study supplies Assignment Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £99. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate of Achievement from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment In order to ensure the Quality Licensing scheme endorsed and CPD acknowledged certificate, learners need to score at least 60% pass marks on the assessment process. After submitting assignments, our expert tutors will evaluate the assignments and give feedback based on the performance. After passing the assessment, one can apply for a certificate. Who is this course for? The course is ideal for those who already work in this sector or are an aspiring expert. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a Certificate of Achievement to prove your newly-acquired knowledge. Course Content Business Data Analysis Module 01: Introduction 00:02:00 Module 02: Agenda and Principles of Process Management 00:06:00 Module 03: The Voice of the Process 00:05:00 Module 04: Working as One Team for Improvement 00:04:00 Module 05: Exercise: The Voice of the Customer 00:03:00 Module 06: Tools for Data Analysis 00:07:00 Module 07: The Pareto Chart 00:03:00 Module 08: The Histogram 00:03:00 Module 09: The Run Chart 00:04:00 Module 10: Exercise: Presenting Performance Data 00:05:00 Module 11: Understanding Variation 00:06:00 Module 12: The Control Chart 00:06:00 Module 13: Control Chart Example 00:04:00 Module 14: Control Chart Special Cases 00:06:00 Module 15: Interpreting the Control Chart 00:10:00 Module 16: Control Chart Exercise 00:07:00 Module 17: Strategies to Deal with Variation 00:06:00 Module 18: Using Data to Drive Improvement 00:14:00 Module 19: A Structure for Performance Measurement 00:06:00 Module 20: Data Analysis Exercise 00:06:00 Module 21: Course Project 00:03:00 Module 22: Test your Understanding 00:17:00 Assignment Assignment - Business Data Analysis 2 weeks, 1 day Order Your Certificate Order your Certificate QLS 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Getting Started The QUALIFI Level 3 Diploma in Data Science aims to offer learners a comprehensive introduction to data science. This Level 3 Diploma provides a modern and all-encompassing overview of data science, artificial intelligence, and machine learning. It covers the evolution of artificial intelligence and machine learning from their beginnings in the late 1950s to the emergence of the "big data" era in the early 2000s. It extends to the current AI and machine learning applications, including the associated challenges. In addition to covering standard machine learning models like linear and logistic regression, decision trees, and k-means clustering, this diploma introduces learners to two emerging areas of data science: synthetic data and graph data science. Moreover, the diploma familiarizes learners with the landscape of data analysis and the relevant analytical tools. It includes introducing Python programming so learners can effectively analyse, explore, and visualize data and implement fundamental data science models. Key Benefits Acquire the essential mathematical and statistical knowledge necessary for conducting fundamental data analysis. Cultivate analytical and machine learning proficiency using Python. Foster a solid grasp of data and its related processes, encompassing data cleaning, data structuring, and data preparation for analysis and visualisation. Gain insight into the expansive data science landscape and ecosystem, including relational databases, graph databases, programming languages like Python, visualisation tools, and various analytical instruments. Develop expertise in comprehending the machine learning procedures, including the ability to discern which algorithms are suited for distinct problems and to navigate the steps involved in constructing, testing, and validating a model. Attain an understanding of contemporary and emerging facets of data science and their applicability to modern challenges Key Highlights This course module prepares learners for higher-level Data science positions through personal and professional development. We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximize future opportunities. Remember! The assessment for the Qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the Qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our qualified tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Upon completing the QUALIFI Level 3 Diploma in Data Science, learners can advance their studies or pursue employment opportunities. Data Analyst with an estimated average salary of £39,445 per annum Business Intelligence Analyst with an estimated average salary of £40,000 per annum Data entry specialist with an estimated average salary of £22,425 per annum Database Administrator with an estimated average salary of £44,185 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Time-constrained scenario-based assignments No examinations Entry Requirements The qualification has been intentionally designed to ensure accessibility without imposing artificial barriers that limit entry. To enrol in this qualification, applicants must be 18 years of age or older. Admittance to the qualification will be managed through centre-led registration processes, which may involve interviews or other appropriate procedures. Despite the presence of advanced mathematics and statistics in higher-level data science courses, encompassing subjects such as linear algebra and differential calculus, this Level 3 Diploma only requires learners to be comfortable with mathematics at the GCSE level. The diploma's mathematical and statistical concepts are based on standard mathematical operations like addition, multiplication, and division. Before commencing the Level 3 Diploma in Data Science, learners are expected to meet the following minimum requirements: i) GCSE Mathematics with a grade of B or higher (equivalent to the new level 6 or above); and ii) GCSE English with a grade of C or higher (equivalent to the new level 4 or above). Furthermore, prior coding experience is not mandatory, although learners should be willing and comfortable with learning Python. Python has been selected for its user-friendly and easily learnable nature. In exceptional circumstances, applicants with substantial experience but lacking formal qualifications may be considered for admission, contingent upon completing an interview and demonstrating their ability to meet the demands of the capability. Progression Upon successful completion of the QUALIFI Level 3 Diploma in Data Science, learners will have several opportunities: Progress to QUALIFI Level 4 Diploma in Data Science: Graduates can advance their education and skills by enrolling in the QUALIFI Level 4 Diploma in Data Science, which offers a more advanced and comprehensive study of the field. Apply for Entry to a UK University for an Undergraduate Degree: This qualification opens doors to higher education, allowing learners to apply for entry to a UK university to pursue an undergraduate degree in a related field, such as data science, computer science, or a related discipline. Progress to Employment in an Associated Profession: Graduates of this program can enter the workforce and seek employment opportunities in professions related to data science, artificial intelligence, machine learning, data analysis, and other relevant fields. These progression options provide learners with a diverse range of opportunities for further education, career advancement, and professional development in the dynamic and rapidly evolving field of data science Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- The Field of Data Science Reference No : H/650/4951 Credit : 6 || TQT : 60 This unit provides learners with an introduction to the field of data science, tracing its origins from the emergence of artificial intelligence and machine learning in the late 1950s, through the advent of the "big data" era in the early 2000s, to its contemporary applications in AI, machine learning, and deep learning, along with the associated challenges. UNIT2- Python for Data Science Reference No : J/650/4952 Credit : 9 || TQT : 90 This unit offers learners an introductory approach to Python programming tailored for data science. It begins by assuming no prior coding knowledge or familiarity with Python and proceeds to elucidate Python's fundamentals, including its design philosophy, syntax, naming conventions, and coding standards. UNIT3- Creating and Interpreting Visualisations in Data Science Reference No : K/650/4953 Credit : 3 || TQT : 30 This unit initiates learners into the realm of fundamental charts and visualisations, teaching them the art of creating and comprehending these graphical representations. It commences by elucidating the significance of visualisations in data comprehension and discerns the characteristics distinguishing effective visualisations from subpar ones. UNIT4- Data and Descriptive Statistics in Data Science Reference No : L/650/4954 Credit : 6 || TQT : 60 The primary objective of this unit is to acquaint learners with the foundational concepts of descriptive statistics and essential methods crucial for data analysis and data science. UNIT5- Fundamentals of Data Analytics Reference No : M/650/4955 Credit : 3 || TQT : 30 This unit will enable learners to distinguish between the roles of a Data Analyst, Data Scientist, and Data Engineer. Additionally, learners can provide an overview of the data ecosystem, encompassing databases and data warehouses, and gain familiarity with prominent vendors and diverse tools within this data ecosystem. UNIT6- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT7- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT8- Machine Learning Methods and Models in Data Science Reference No : T/650/4957 Credit : 3 || TQT : 30 This unit explores the practical applications of various methods in addressing real-world problems. It provides a summary of the key features of these different methods and highlights the challenges associated with each of them. UNIT9- The Machine Learning Process Reference No : Y/650/4958 Credit : 3 || TQT : 30 This unit provides an introduction to the numerous steps and procedures integral to the construction and assessment of machine learning models. UNIT10- Linear Regression in Data Science Reference No : A/650/4959 Credit : 3 || TQT : 30 This unit offers a foundational understanding of simple linear regression models, a crucial concept for predicting the value of one continuous variable based on another. Learners will gain the capability to estimate the best-fit line by computing regression parameters and comprehend the accuracy associated with this line of best-fit. UNIT11- Logistic Regression in Data Science Reference No : H/650/4960 Credit : 3 || TQT : 30 This unit introduces logistic regression, emphasizing its role as a classification algorithm. It delves into the fundamentals of binary logistic regression, covering essential concepts such as the logistic function, Odds ratio, and the Logit function. UNIT12- Decision Trees in Data Science Reference No : J/650/4961 Credit : 3 || TQT : 30 This unit offers an introductory exploration of decision trees' fundamental theory and practical application. It elucidates the process of constructing basic classification trees employing the standard ID3 decision-tree construction algorithm, including the node-splitting criteria based on information theory principles such as Entropy and Information Gain. Additionally, learners will gain hands-on experience in building and assessing decision tree models using Python. UNIT13- K-means clustering in Data Science Reference No : K/650/4962 Credit : 3 || TQT : 30 This unit initiates learners into unsupervised machine learning, focusing on the k-means clustering algorithm. It aims to give learners an intuitive understanding of the k-means clustering method and equip them with the skills to determine the optimal number of clusters. UNIT14- Synthetic Data for Privacy and Security in Data Science Reference No : L/650/4963 Credit : 6 || TQT : 60 This unit is designed to introduce learners to the emerging field of data science, specifically focusing on synthetic data and its applications in enhancing data privacy and security. UNIT15- Graphs and Graph Data Science Reference No : M/650/4964 Credit : 6 || TQT : 60 This unit offers a beginner-friendly introduction to graph theory, a foundational concept that underlies modern graph databases and graph analytics. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Overview Are you ready to dive into data analysis and unlock valuable insights that can drive business growth? Introduction to Data Analysis is a comprehensive course designed to provide learners with a solid foundation in the principles and techniques of data analysis. This course will equip you with the essential skills and knowledge to thrive in data analysis. With a comprehensive curriculum spanning 22 modules, you will delve deep into the world of data, from understanding its fundamentals to harnessing it for meaningful insights. Our expertly crafted curriculum covers data collection, process management, statistical tools, control charts, and strategies to deal with variation.Enrol today in this Introduction to Data Analysis course to succeed in all areas of your life. Let your skill become your greatest asset! Key Features of the Course This course equips learners with the essential tools and knowledge to analyse and interpret data accurately. The course is accredited, ensuring its recognition and credibility within the professional community. Learners will have access to 24/7 learning assistance, allowing them to seek guidance and support whenever needed. Who is This course for? This Introduction to Data Analysis course is suitable for students & professionals from various fields, including business, finance, marketing, healthcare, and more. It is also beneficial for individuals looking to enhance their data analysis skills for personal or professional development. What You Will Learn Throughout the course, you will delve into various modules that cover essential concepts and tools for data analysis. Starting with an introduction to process management principles, you will progress through topics such as the voice of the process, customer feedback analysis, and data visualisation using tools like Pareto charts, histograms, and run charts. You will also gain a deep understanding of variation and control charts and learn how to interpret and use them effectively for process improvement. By the end of the course, learners will have a solid understanding of these topics and be able to apply their knowledge to real-world data analysis scenarios. Why Enrol in This Course Data analysis is one of the most sought-after skills in today's job market. According to LinkedIn, data analysis is among the top 10 most in-demand skills for 2023. Data analysis can help you: Improve your decision-making skills and confidence Enhance your problem-solving and critical-thinking abilities Boost your creativity and innovation potential Increase your productivity and efficiency Advance your career and create earning potential Requirements There are no specific prerequisites for this course. However, a basic understanding of mathematics and statistics will be beneficial. Access to a computer with an internet connection is also required to complete the course. Career Path Completing this Introduction to Data Analysis course can lead to various career opportunities in data analysis. Some of the course-related professions in the UK, along with their average salaries, include: Data Analyst (£35,000 - £45,000 per year) Business Analyst (£40,000 - £55,000 per year) Financial Analyst (£40,000 - £60,000 per year) Market Research Analyst (£25,000 - £40,000 per year) Operations Analyst (£35,000 - £50,000 per year) Healthcare Data Analyst (£35,000 - £50,000 per year) Quality Control Analyst (£25,000 - £35,000 per year) Certification Upon successful completion of the course, learners will receive a CPD certificate, validating their achievement and demonstrating their commitment to professional development in the field of data analysis. Course Curriculum 3 sections • 24 lectures • 02:13:00 total length •Module 01: Introduction: 00:02:00 •Module 02: Agenda and Principles of Process Management: 00:06:00 •Module 03: The Voice of the Process: 00:05:00 •Module 04: Working as One Team for Improvement: 00:04:00 •Module 05: Exercise: The Voice of the Customer: 00:03:00 •Module 06: Tools for Data Analysis: 00:07:00 •Module 07: The Pareto Chart: 00:03:00 •Module 08: The Histogram: 00:03:00 •Module 09: The Run Chart: 00:04:00 •Module 10: Exercise: Presenting Performance Data: 00:05:00 •Module 11: Understanding Variation: 00:06:00 •Module 12: The Control Chart: 00:06:00 •Module 13: Control Chart Example: 00:04:00 •Module 14: Control Chart Special Cases: 00:06:00 •Module 15: Interpreting the Control Chart: 00:10:00 •Module 16: Control Chart Exercise: 00:07:00 •Module 17: Strategies to Deal with Variation: 00:06:00 •Module 18: Using Data to Drive Improvement: 00:14:00 •Module 19: A Structure for Performance Measurement: 00:06:00 •Module 20: Data Analysis Exercise: 00:06:00 •Module 21: Course Project: 00:03:00 •Module 22: Test your Understanding: 00:17:00 •Resources - Introduction to Data Analysis: 00:00:00 •Assignment - Introduction to Data Analysis: 00:00:00

24 Hours Left! Don't Let the Winter Deals Slip Away - Enrol Now! In the Level 3 Forensic Scientist Course, you will delve into the fascinating world of crime scenes and learn how criminal investigations are conducted, taking you through each and every step. It includes a detailed overview of the history and development of forensic science, as well as an introduction to the first forensic scientists. With this Level 3 Forensic Scientist course, you will develop the core skills required to fast-track your career, providing you with both a practical and theoretical understanding of the field of forensics. From analysing fingerprints to recording a crime scene and collecting physical evidence, our experienced instructor will walk you through the entire investigation process. Key Topics to Be Covered by Level 3 Forensic Scientist The History and Development of Forensic Science An Introduction to the First Forensic Scientists An Overview of the Locard Exchange Principle Crime Lab Services & Biological Forensic Science Services The Role of the Coroner and Medical Examiner How to Conduct a Crime Scene Investigation Recording the Crime Scene and Essential Equipment Collecting and Packaging Physical Evidence Fingertip Evidence, DNA, Drug & Bloodstain Analysis This Forensic Scientist online training course is accredited by CPDQS with 10 CPD points for professional development. Students can expect to complete this Forensic Scientist training course in around 07 hours. You'll also get dedicated expert assistance from us to answer any queries you may have while studying our Forensic Scientist course. Learning Outcomes of Level 3 Forensic Scientist Gain an in-depth understanding of the crime scene investigation process Deepen your knowledge of crime lab services & biological forensic science services Learn about the role and responsibilities of the coroner and medical examiner Understand the process for analysing DNA, drug, and bloodstain evidence Sharpen your logical thinking, analytical and investigative skills Know how to collect and package physical evidence taken from a crime scene Develop a comprehensive understanding of fingertip analysis and classification Gain an insight into the history of forensic science and how the industry has developed *** Course Curriculum *** Here is the curriculum breakdown of this Forensic Scientist Masterclass course: Module 1: Forensic Science: The History and Organisation The Development of Forensic Science The First Forensic Scientists The Locard Exchange Principle General Organisation of Forensic Science Crime Lab Services Biological Forensic Science Services Physical Forensic Science Services The Coroner and The Medical Examiner Duties of The Coroner or Medical Examiner The Forensic Scientist In The Courtroom Module 2: Crime Scene Investigation Processing the Crime Scene Securing and Isolating The Crime Scene Recording The Crime Scene Photographic Procedures Video Recording Sketches Search Patterns Module 3: Collecting and Packaging Physical Evidence Locating Physical Evidence Collecting And Packaging Physical Evidence Handling Evidence Packaging Evidence Biological Materials DNA Evidence Best Practices in Biological Evidence Packaging Maintaining The Chain of Custody Obtaining Standard/Reference Samples Submitting Evidence To The Laboratory Ensuring Crime Scene Safety Module 4: Fingerprints: Your Personal Signature Getting a Grip on Fingerprints Developing The Science: A Trip Through Fingerprint History Using Ridge Patterns Making Matching Easier: Classifying Prints Developing the Henry System Locating Those Prints Seeking latent prints Powdering the print Using Chemistry To Expose Prints Cleaning up the Print: Digital Techniques Module 5: Bloodstain Analysis Understanding Blood's Character Looking into Blood Clotting Analysing Bloodstain Patterns Finding Clues in Passive Bloodstains Analysing Projected Blood Spatters Interpreting Void Patterns Classifying Projected Spatters Velocity Spatters Transfer patterns Reconstructing The Crime Scene from Bloodstains Putting It All Together: A Hypothetical Case Module 6: DNA Analysis The Function and Structure Of DNA DNA Identification Collection And Preservation of DNA Evidence Preparing DNA Samples For Fingerprinting Steps of DNA Fingerprinting Paternity DNA Database in the UK Applications Module 7: Drug Analysis Psychological Dependence Physical Dependence Societal Aspects Of Drug Use Types of Drugs Collection And Preservation Of Drug Evidence Forensic Drug Analysis Screening and Confirmation Colour Tests Microcrystalline Tests Chromatography Spectrophotometry Mass Spectrometry Module 8: Firearms Examination Characteristics of Firearms Firearms Evidence Gunshot Residue (GSR) Analysis Collecting Firearms Evidence Handling of Firearms Cartridge Cases Test Firing Powder Pattern Examination Module 9: Questioned Documents: Handwriting and Forgery Examination Handwriting Learning To Write Handwriting Comparison Forgery Disguised Writing Altered Documents Indented Writing Paper and Ink Typewriters and Photocopiers Module 10: Digital Evidence Computer Seizure Steps to Remember Collecting Video Evidence Determine If There Is A Video Stop The Recorder Confiscate The Recording Medium Immediately Document the Video System's Physical Relationship to the Crime Scene Seek Technical Assistance if Problems Occur Module 11: Forensic Psychology: Delving into the Criminal Mind Defining the Role of the Forensic Psychiatric Professional Differentiating Forensic from Clinical Psychiatry How the Mind Matters In Forensics Assessing the Brain Getting Started With a Medical History and Physical Exam Digging into the Psyche Employing Dubious Techniques Dealing with Deception Debunking the Eyewitness Dealing with False Confessions Assessing Competency and Sanity Determining a Defendant's Competence Tracking Serial Offenders Classifying the Multiple Murderer Profiling the Perpetrator Assessing The Perpetrator's Psyche Distinguishing MO from signature Profiling the Victim: Victimology Drawing Boundaries: The Killer's Domain Assessment Process Once you have completed the modules in the Level 3 Forensic Scientist course, your skills and knowledge will be tested with an automated multiple-choice assessment, after which you will receive instant results. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Level 3 Forensic Scientist course is ideal for: Students and graduates of forensic science, criminology, or related fields Law enforcement professionals, detectives, and private investigators Anyone interested in pursuing a career in forensic science or criminal justice Requirements You will not need any prior background or expertise. All you need to take this Level 3 Forensic Scientist course is - A smart device. A secure internet connection. Being over the age of 16. And a strong drive for learning and literacy. Career path The Forensic Scientist: Masterclass is perfect for aspiring professionals who want to quickly advance their careers in this industry by acquiring the necessary abilities. The following opportunities exist in the field of forensic science: Forensic Scientist: £18,000 to £45,000 per year Crime Scene Investigator: £16,000 to £37,000 per year Fingerprint Expert: £18,000 to £30,000 per year Certificates Certificate Accredited by CPDQS Digital certificate - £10 Certificate Accredited by CPDQS Hard copy certificate - £29 If you are an international student, then you have to pay an additional 10 GBP as an international delivery charge.

24-Hour Knowledge Knockdown! Prices Reduced Like Never Before Creating a fair and inclusive environment is essential for any organisation. In the UK, diversity and inclusion are not just buzzwords but essential components of a thriving society. According to a recent report, over 40% of the UK workforce comes from ethnic minority backgrounds. However 21% of employees believe they have been discriminated against in the workplace based on their race or ethnicity. Are you committed to creating an equitable and inclusive environment where everyone can thrive? This course will equip you with the knowledge and skills to navigate the complexities of diversity and build a more positive and productive work environment. This Equality, Diversity & Inclusion (EDI) course provides an in-depth understanding of diversity, stereotypes, and the barriers that hinder inclusion. You will learn effective verbal and non-verbal communication skills to navigate diverse environments. The course also covers proactive strategies for promoting inclusivity, coping with discrimination, and dealing with diversity complaints at individual, managerial, and organisational levels. Learning Outcomes of Equality, Diversity & Inclusion (EDI) Grasp the significance and dimensions of societal diversity. Recognize and address prevalent stereotypes in daily scenarios. Detect and counteract obstacles to fostering inclusive environments. Develop and refine effective verbal communication techniques. Understand and master non-verbal cues for enhanced communication. Cultivate a proactive mindset for positive personal change. Strategize and adapt to discrimination encounters effectively. Address personal diversity-related complaints empathetically. Implement managerial strategies for handling diversity complaints. Establish organizational procedures for addressing diversity complaints. Why Choose Us? Learn Equality, Diversity and Inclusion from anywhere in the world The Equality, Diversity & Inclusion is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Get Lifetime access to the Equality, Diversity & Inclusion course materials The Equality, Diversity & Inclusion comes with 24/7 tutor support Free Gift Courses Are Course 01: Resilience Training Course Course 02: Conflict Management Training Equality, Diversity and Inclusion (EDI) - CPD Certified This Equality, Diversity & Inclusion (EDI) course teaches you diversity and inclusion principles, understanding stereotypes, breaking down barriers, effective communication skills, proactive strategies for inclusivity, coping with discrimination, and handling diversity complaints at individual, managerial, and organisational levels to create a culture of respect and equal opportunities. This not only benefits your colleagues and creates a more harmonious work environment, but can also enhance your career prospects by demonstrating your commitment to diversity and fostering a culture of respect. Course Curriculum Overview for Diversity and Inclusion TrainingModule 01: Understanding Diversity Explores the concept of diversity, its significance in the workplace, and how to appreciate and respect individual differences. It emphasizes the value of diverse perspectives and inclusive practices in creating a positive and productive environment. Module 02: Understanding Stereotypes Discusses common stereotypes, their impact on individuals and groups, and strategies to challenge and overcome them. The module aims to foster awareness and promote a culture of inclusion by breaking down prejudiced views. Module 03: Breaking Down the Barriers Identifies barriers to diversity and inclusion, and provides practical approaches to dismantle these obstacles. It focuses on creating an environment where everyone feels valued and respected. Module 04: Verbal Communication Skills Enhances verbal communication skills to ensure clear, respectful, and inclusive interactions in diverse settings. It covers effective listening, appropriate language use, and fostering open dialogue. Module 05: Non-Verbal Communication Skills Focuses on body language, facial expressions, and gestures in effective and inclusive communication. The module emphasizes understanding and interpreting non-verbal cues to improve interactions. Module 06: Being Proactive Encourages proactive behaviour in promoting diversity and inclusion, including taking initiatives and personal actions. It highlights the importance of leading by example and advocating for inclusive practices. Module 07: Coping with Discrimination Provides strategies for coping with and addressing discrimination in the workplace and other settings. It includes techniques for managing emotional responses and seeking support. Module 08: Dealing with Diversity Complaints as a Person Guidance on how individuals can handle diversity-related complaints, including personal and professional strategies. The module focuses on effective communication and conflict resolution. Module 09: Dealing with Diversity Complaints as a Manager Offers managers tools and techniques for addressing and resolving diversity complaints within their teams. It covers best practices for fair and impartial handling of issues. Module 10: Dealing with Diversity Complaints as an Organization Provides a comprehensive approach for organizations to manage diversity complaints, including policy development, training programs, and creating a culture of accountability and support. Enrol today in this Equality, Diversity and Inclusion (EDI) course and advance your career! CPD 140 CPD hours / points Accredited by CPD Quality Standards Module 01: Understanding Diversity 17:21 1: Introduction Video Preview 01:21 2: Understanding Diversity 16:00 Module 02: Understanding Stereotypes 03:10 3: Understanding Stereotypes 03:10 Module 03: Breaking Down the Barriers 05:51 4: Breaking Down the Barriers 05:51 Module 04: Verbal Communication Skills 08:48 5: Verbal Communication Skills 08:48 Module 05: Non-Verbal Communication Skills 05:04 6: Non-Verbal Communication Skills 05:04 Module 06: Being Proactive 08:33 7: Being Proactive 08:33 Module 07: Coping with Discrimination 10:20 8: Coping with Discrimination 10:20 Module 08: Dealing with Diversity Complaints as a Person 03:47 9: Dealing with Diversity Complaints as a Person 03:47 Module 09: Dealing with Diversity Complaints as a Manager 03:31 10: Dealing with Diversity Complaints as a Manager 03:31 Module 10: Dealing Diversity Complaints as a Organization 07:11 11: Dealing with Diversity Complaints as an Organization 07:11 Order Your Certificate 02:00 12: Order Your CPD Certificate 01:00 13: Order Your QLS Endorsed Certificate 01:00 Who is this course for? Anyone interested in learning more about the topic is advised to take this Equality, Diversity and Inclusion (EDI) course. This course is ideal for: Diversity and inclusion professionals. Human resources specialists. Managers and team leaders. Educators and trainers. Social workers and counselors. Requirements You will not need any prior background or expertise to enrol in this Equality, Diversity and Inclusion (EDI) course. Career path After completing this Equality, Diversity and Inclusion (EDI) course, you are to start your career or begin the next phase of your career. HR Specialist Diversity Officer Inclusion Consultant Change Manager Team Leader Manager Certificates Cademy certificate of completion Digital certificate - Included Will be downloadable when all lectures have been completed Certification Accredited by CPDQS Digital certificate - £10 Certification Accredited by CPDQS Hard copy certificate - £29 If you are an international student, then you have to pay an additional 10 GBP as an international delivery charge.

Register on the Diploma in Data Analysis Fundamentals today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The Diploma in Data Analysis Fundamentals is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Diploma in Data Analysis Fundamentals Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements The online training is open to all students and has no formal entry requirements. To study the Diploma in Data Analysis Fundamentals, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.  Course Contents Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding

Are basic leadership and critical thinking abilities your strong point? Do you like being able to create products and sell it? Do you know how to set goals clearly? Do you like managing your own business? If so, then this diploma course is for you. Description: Beginning your own business is an accomplishment in itself that you ought to be amped up for however it is just the beginning stage. The next thing you should know is to figure out how to make it become unique that will be recognized. In this course, you will be able to use the information about your business and what you can do to make it astounding. In this course, you will learn appropriate hints and thoughts for making your business emerge in the market. This will thus give you an edge over your competitions. Moreover, this course will set you up for a profession in a business administration condition where you will have the capacity to perform business-related exercises and in addition administration obligations viable. You will cover various scopes like Business Communication, Financial Accounting, Principles of Marketing, Human Resources and Project Management. Who is the course for? For employees, businessmen and entrepreneurs who are interested in upgrading their business administration skills. Or anyone who is interested in leading and managing their own business. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment:  At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: This Diploma in Business Administration and Branding Course will be useful and would be beneficial for the management occupations especially the following careers: Administrative Services Manager Advertising, Promotions and Marketing Managers Agricultural Managers Architectural and Engineering Managers Compensation and Benefits Managers Computer and Information Systems Manager Construction Managers Financial Managers Food Services Managers Human Resources Managers Industrial Production Managers Management Directors Medical and Health Managers Natural Sciences Managers And other Top Executives. Business Administration What is Business Administration? 00:30:00 Business and Organisations 00:15:00 Management of Business 00:30:00 Business Organization Perspectives 00:30:00 Decision Making 00:30:00 Approaches to Leadership 00:30:00 Business Communication Communication Basics 00:30:00 Know Thyself and The Message 00:30:00 Learn To Use Terms of Business Communication That Invoke Emotions 00:30:00 Pay Attention To Body Language 00:30:00 Learn To Use Terms That Spark Interest 00:30:00 The Benefits Of Presenting Your Message In 1 Minute 00:30:00 Branding Basics Introduction 00:15:00 The Purple Cow 00:30:00 Try to be an Exceptionist 00:30:00 Make Yourself Well Recognised Before Your Customers 00:15:00 Wow Your Customers 00:30:00 Develop a Personal Style 00:30:00 Use Creative Imageries to Catch the Attention 00:30:00 Be a Traditionalist, Not a Fad Chaser 00:15:00 Bringing Out the Purple Cow in Your Business 00:30:00 Conclusion 00:15:00 Brand Management Defining Branding 00:15:00 What Are You All About? 00:30:00 Creating a Mission 00:15:00 Creating a Vision of the Future 00:15:00 Positioning Your Brand 00:15:00 Developing Your Style 00:15:00 Developing a Brand Name and Slogan 00:15:00 Creating a Visual Identity 00:30:00 Living Your Brand 00:15:00 Connecting with Customers 00:15:00 Launching Your Brand 00:15:00 Taking Your Brand's Pulse 00:15:00 Performing a SWOT Analysis 00:15:00 Measuring Brand Health with a Balanced Scorecard 00:15:00 Middleton's Brand Matrix 00:15:00 Interpreting Evaluation Results 00:15:00 Keeping the Brand Alive 00:15:00 Going Beyond the Brand 00:15:00 Business Branding What Is Branding 00:30:00 Research Your Topic Thoroughly 00:30:00 Let People Know Who You Are: Distinguish Yourself 01:00:00 Represent Yourself 00:30:00 Networking With Social Media 01:00:00 Use Videos 00:30:00 Offer Training Courses 00:30:00 Provide Quality Material And Customer Service 00:30:00 Live And Breathe Your Brand 00:30:00 How Not Branding Can Spell Disaster 00:15:00 Personal Branding Module One - Getting Started 00:30:00 Module Two - Defining Yourself (I) 00:30:00 Module Three - Defining Yourself (II) 00:30:00 Module Four - Controlling and Developing Your Image 00:30:00 Module Five - Personal and Professional Influences 00:30:00 Module Six - Sharpening Your Brand 00:30:00 Module Seven - Appearance Matters 00:30:00 Module Eight - Social Media (I) 00:30:00 Module Nine - Social Media (II) 02:00:00 Module Ten - Brand Management During a Crisis 01:00:00 Module Eleven - Branding Personality Traits 00:30:00 Module Twelve - Wrapping Up 00:30:00 Mock Exam Mock Exam- Advanced Diploma in Business Administration and Branding 00:20:00 Final Exam Final Exam- Advanced Diploma in Business Administration and Branding 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00