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Course Overview: Are you ready to unlock the world of digital possibilities by understanding the art and science of data analytics? We live in an era where data back every decision and every action requires insightful analysis. Clive Humby said, "Data is the new oil, and it's the new oil, so it's an invaluable resource for companies worldwide. This comprehensive course covers a broad spectrum of data analytics, starting with an engaging 'Introduction to the World of Data,' before delving into the fundamental components like the 'Basics of Data Analytics,' 'Statistics for Data Analytics,' and the 'Actions Taken in the Data Analysis Process.' Each subsequent module is carefully designed to guide you through various stages of data analytics. You'll explore 'Data Mining,' work with 'Excel for Data Analytics,' and discover 'Tools for Data Analytics.' The curriculum wraps up with a focus on 'Data-Analytic Thinking' and 'Data Visualisation.' Enrol today and start your journey to becoming a data analytics expert! Key Features of the Course: This course comes with a CPD certificate, affirming your proficiency in data analytics. It offers 24/7 learning assistance to ensure you get the most out of your learning journey. The content is presented in easy-to-understand and engaging learning materials, carefully curated to make your journey in data analytics enlightening. Who is This Course For? This course suits professionals seeking to leverage data analytics in their respective fields, individuals aspiring to venture into the data science arena, and students keen to acquire contemporary skills for the digital age. What You Will Learn: Understand the fundamental concepts of data analytics. Apply statistical techniques to analyse large data sets. Implement effective strategies for data collection and storage. Master the art of data mining and extraction of valuable insights. Utilise Excel and other tools effectively for data analysis. Develop a data-analytic mindset for problem-solving. Translate data insights into compelling visualisations. Why Enrol in This Course: This course will open doors to many opportunities. You will learn from top-notch professionals, utilise quality learning materials and have access to trending and recently updated curriculum. Requirements: A basic understanding of computers A willingness to learn Career Path: The expertise gained from this Data Analytics course can pave your way into a variety of professions, such as: Data Analyst (£30,000-£60,000) Business Analyst (£35,000-£70,000) Market Research Analyst (£27,000-£55,000) Operations Analyst (£31,000-£62,000) Quantitative Analyst (£45,000-£85,000) Data Scientist (£50,000-£90,000) Data Engineer (£35,000-£75,000) Certification: On successful completion of this course, you will receive a CPD certificate, testifying your mastery in the field of data analytics. With this recognition, you can confidently showcase your skills and expertise in the professional world. Data analytics is a powerful tool that can be used to make better decisions, improve efficiency, and drive innovation. If you want to join this growing field, this course is for you! FAQ What do you mean by data analytics? Data analytics is the process of collecting, cleaning, analyzing, and interpreting data to extract insights. What data analytics actually do? Data analytics helps businesses make better decisions by providing them with insights into their data. This can include insights into customer behavior, market trends, and product performance. What are the 5 data analytics? The 5 data analytics are: Descriptive analytics: This type of analytics describes what has happened in the past. Diagnostic analytics: This type of analytics identifies the root cause of problems. Predictive analytics: This type of analytics predicts what will happen in the future. Prescriptive analytics: This type of analytics recommends actions to take based on the predictions. Visual analytics: This type of analytics uses visual representations of data to make it easier to understand. What is data analytics examples? Here are some examples of data analytics: A retailer uses data analytics to track customer behaviour and identify trends. A bank uses data analytics to predict which customers are likely to default on their loans. A healthcare provider uses data analytics to identify patients who are at risk for certain diseases. What are 4 types of analytics? The 4 types of analytics are: Descriptive analytics: This type of analytics describes what has happened in the past. Diagnostic analytics: This type of analytics identifies the root cause of problems. Predictive analytics: This type of analytics predicts what will happen in the future. Prescriptive analytics: This type of analytics recommends actions to take based on the predictions. Why do we use data analytics? We use data analytics to make better decisions, improve efficiency, and drive innovation. Here are some of the benefits of using data analytics: Better decision-making: Data analytics can help businesses make better decisions by providing them with insights into their data. Improved efficiency: Data analytics can help businesses improve efficiency by identifying areas where they can save time and money. Driven innovation: Data analytics can help businesses drive innovation by identifying new opportunities and trends. Course Curriculum 13 sections • 13 lectures • 12:25:00 total length •Introduction to the World of Data: 01:00:00 •Basics of Data Analytics: 00:40:00 •Statistics for Data Analytics: 01:00:00 •Actions Taken in the Data Analysis Process: 00:55:00 •Gathering the Right Information: 01:00:00 •Storing Data: 01:15:00 •Data Mining: 01:00:00 •Excel for Data Analytics: 01:20:00 •Tools for Data Analytics: 01:20:00 •Data-Analytic Thinking: 01:10:00 •Data Visualisation That Clearly Describes Insights: 00:45:00 •Data Visualization Tools: 01:00:00 •Assignment - Data Analytics: 00:00:00

Boost Your Career with Apex Learning and Get Noticed By Recruiters in this Hiring Season! Save Up To £4,169 and get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Now Give a compliment to your career and take it to the next level. This Machine Learning will provide you with the essential knowledge and skills required to shine in your professional career. Whether you want to develop skills for your next job or want to elevate skills for your next promotion, this Machine Learning will help you keep ahead of the pack. The Machine Learning incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can reinforce your professional skills and essential knowledge, reaching out to the level of expertise required for your position. Further, this Machine Learning will add extra value to your resume to stand out to potential employers. Throughout the programme, it stresses how to improve your competency as a person in your profession while at the same time it outlines essential career insights in this job sector. Consequently, you'll strengthen your knowledge and skills; on the other hand, see a clearer picture of your career growth in future. By the end of the Machine Learning, you can equip yourself with the essentials to keep you afloat into the competition. Along with this Machine Learning course, you will get 10 other premium courses. Also, you will get an original Hardcopy and PDF certificate for the title course and a student ID card absolutely free. This Bundle Consists of the following Premium courses: Course 01: Machine Learning with Python Course 02: Advanced Diploma in User Experience UI/UX Design Course 03: Data Science & Machine Learning with R Course 04: Python Programming for Everybody Course 05: Data Structures Complete Course Course 06: Data Science with Python Course 07: Computer Science: Graph Theory Algorithms Course 08: Higher Order Functions in Python - Level 03 Course 09: AWS Essentials Course 10: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 11: Introduction to Data Analysis So, enrol now to advance your career! Benefits you'll get choosing Apex Learning for this Machine Learning: One payment, but lifetime access to 11 CPD courses Certificate, student ID for the title course included in a one-time fee Full tutor support available from Monday to Friday Free up your time - don't waste time and money travelling for classes Accessible, informative modules taught 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 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 (Previously it was £10 * 11 = £110) Hard Copy Certificate: Free (For The Title Course) If you want to get hardcopy certificates for other courses, generally you have to pay £20 for each. But this Fall, Apex Learning is offering a Flat 50% discount on hard copy certificates, and you can get each for just £10! P.S. The delivery charge inside the U.K. is £3.99 and the international students have to pay £9.99. Curriculum of the Bundle Course 01: Machine Learning with Python Module 01: Introduction to Algorithms Module 02: Preprocessing Module 03: Regression Module 04: Classification Course 02: Data Science & Machine Learning with R Data Science and Machine Learning Course Intro Data Types and Structures in R Data Types and Structures in R Intermediate R Data Manipulation in R Data Visualization in R Creating Reports with R Markdown Building Webapps with R Shiny Introduction to Machine Learning Starting A Career in Data Science Course 03: Python Programming for Everybody Module 01 A Installing Python Documentation Command Line Variables Simple Python Syntax Keywords Import Module Module 02 Additional Topics If Elif Else Iterable For Loops Execute Exceptions Module 03 Data Types Number Types More Number Types Strings More Strings Files Lists Dictionaries Tuples Sets Module 04 Comprehensions Definitions Functions Default Arguments Doc Strings Variadic Functions Factorial Module 05 Function Objects Lambda Generators Closures Classes Object Initialization Class Static Members Classic Inheritance Data Hiding Course 04: Advanced Diploma in User Experience UI/UX Design UX/UI Course Introduction Introduction To The Web Industry Foundations of Graphic Design UX Design (User Experience Design) UI Design (User Interface Design) Optimization Starting a Career in UX/UI Design Course 05: Data Structures Complete Course Unit 01: Introduction Unit 02: Arrays Unit 03: Liked List Unit 04: Stack Unit 05: Queues Unit 06: Priority Queues (PQs) Unit 07: Union Find Unit 08: Binary Search Trees Unit 09: Fenwick Tree Unit 10: Hash Tables Unit 11: Suffix Array Unit 12: AVL Trees Unit 13: Indexed Priority Queue Unit 14: Sparse Tables Course 06: Data Science with Python Unit 01: Introduction to Python Data Science Unit 02: Data Cleaning Packages Unit 03: Data Visualization packages Course 07: Computer Science: Graph Theory Algorithms Module 00: Promo Module 01: Introduction Module 02: Common Problem Module 03: Depth First Search Module 04: Breadth First Search Module 05: Breadth First Search Shortest Path on a Grid Module 06: Trees Module 07: Topological Sort Module 08: Dijkstra Module 09: Bellman-Ford Algorithm Module 10: Floyd-Warshall Algorithm Module 11: Bridge and Algorithm Points Module 12: Tarjan Algorithm Module 13: Travelling Salesman Problem (TSP) Module 14: Eulerian Paths and Circuits Module 15: Prim's Minimum Spanning Tree Algorithm Module 16: Network Flow Course 08: Higher Order Functions in Python - Level 03 Module 01: Course Introduction Module 02: Simple Higher Order Functions Module 03: Sorting with Keys Module 04: Map Function Module 05: Filter Function Module 06: List Comprehension Alternative Module 07: Recursion Introduction Course 09: AWS Essentials Section 01: AWS Foundations and Services Section 02: AWS Security and Costs Course 10: Cloud Computing / CompTIA Cloud+ (CV0-002) Section 01: What You Need to Know Section 02: Introducing the Cloud Section 03: System Requirements for Cloud Deployments Section 04: Cloud Storage Section 05: Cloud Compute Section 06: Cloud Networking Section 07: Cloud Security Section 08: Migrating to the Cloud Section 09: Maintaining Cloud Solutions Section 10: Troubleshooting Cloud Solutions Course 11: 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 CPD 125 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Machine Learning bundle. Persons with similar professions can also refresh or strengthen their skills by enrolling in this course. Students can take this course to gather professional knowledge besides their study or for the future. Requirements Our Machine Learning is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various expertise will increase the value in your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included

With a single payment you will gain access to Event Planner including 10 additional premium courses, original hardcopy certificate, transcript and a student ID card which will allow you to get discounts on things like music, food, travel and clothes etc. Courses are included with this Event Planner Complete Bundle: Course 01: Event Planner Course 02: Event Management Course 03: Catering Management Course 04: Business Analysis Level 3 Course 05: Interior Design Professional Diploma Course 06: Effective Communication Skills Course 07: Basic Adobe Photoshop Course 08: Professional Photography Diploma Course 09: Customer Relationship Management Course 10: Baking and Cake Decorating Level 2 Course 11: Health and Safety at Workplace If you want to gain a solid understanding of Event Planner and fast track your dream career, then take a step in the right direction with this industry-standard, comprehensive Event Planner course designed by expert instructors. The Event Planner will cover a comprehensive range of 12, you'll have 24/7 online access to the study materials, introductory videos, assessment tests, study resources and tutor support for a lifetime. The Event Planner will help you to develop your skills, confidence and knowledge of this sector, helping to add real value to your CV and personal development. Gain experience online and interact with experts. This can prove to be the perfect way to get noticed by a prospective employer and stand out from the crowd. Event Planner has been rated and reviewed highly by our learners and professionals alike. We have a passion for teaching, and it shows. All of our courses have interactive online modules that allow studying to take place where and when you want it to. The only thing you need to take Event Planner is Wi-Fi and a screen. You'll never be late for class again. Experienced tutors and mentors will be there for you whenever you need them, and solve all your queries through email and chat boxes. Whether you are looking to brighten up your CV, just starting out in the industry, looking for a career change or just fancy learning something new, this online Event Planner course is perfect! Benefits you'll get choosing Apex Learning for this Event Planner: One payment, but lifetime access to 11 CPD courses Certificates, student ID for the title course included in a one-time fee Full tutor support available from Monday to Friday Free up your time - don't waste time and money travelling for classes Accessible, informative modules taught 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 Course 01: Event Planner Module 01: Introduction to Event Management Module 02: Role of an Event Planner Module 03: Event Classification Module 04: Events and Clients Module 05: Steps to Plan an Event Module 06: Invitation to the Event Module 07: Event Marketing Module 08: Catering at Events Module 09: Event Decorations Module 10: Cleaning and Waste Disposal Module 11: Event Security Module 12: Developing an Event Planning Business Course 02: Event Management Event Planning Steps for Planning an Event Invitations, Greetings, and Dress Code Table Manners and Table Settings The Event What is Event Management Types of Events Course 03: Catering Management Module 1: An Overview of Catering Business Module 2: Laws and Legislations Regarding food Safety and Hygiene Module 3: Food Safety and Hygiene Module 4: Food Safety in Catering Module 5: Management of Food and Beverage Operations Module 6: Marketing and Human Resource Course 04: Business Analysis Level 3 Module 01: Introduction to Business Analysis Module 02: Business Processes Module 03: Business Analysis Planning and Monitoring Module 04: Strategic Analysis and Product Scope Module 05: Solution Evaluation Module 06: Investigation Techniques Module 07: Ratio Analysis Module 08: Stakeholder Analysis and Management Module 09: Process Improvement with Gap Analysis Module 10: Documenting and Managing Requirements Module 11: Career Prospect as a Business Analyst in the UK Course 05: Interior Design Professional Diploma Module 1: Introduction to Interior Design Module 2: Design Principles Module 3: Project Overview Module 4: Design Elements Module 5: Design Elements Practical Components Module 6: Room by Room Design Module 7: Popular Interior Designs Module 8: Sustainable Design Module 9: Presenting Your Ideas Module 10: Managing Interior Design Business Course 06: Effective Communication Skills Introduction To Communication - Goals & Benefits Key Principles Of Communication We are Always Communicating Fundamentals Of Communication - Part 1 Fundamentals Of Communication - Part 2 Great Communication Tips - Part 1 Great Communication Tips - Part 2 Self-Talk & Powerful Language Miscommunication Still MORE Great Tips! Part 1 Still MORE Great Tips! Part 2 Still MORE Great Tips! Part 3 Final Thoughts and Suggestions PROMO Communication (BEST) Course 07: Basic Adobe Photoshop Section 01: Shortcuts & the Brush Section 02: Layers Section 03: Modify Your Portrait Section 04: Watermark & Figures Section 05: Modify Your Text Course 08: Professional Photography Diploma Introduction Exposure Digital Photography Masterclass Focus and Depth of Field Camera Anatomy White Balance and Color Lighting Mobile Photography Equipment - Cameras Equipment - Lenses Equipment - Accessories Photo Scenario - Portrait Photo Scenario - Long Exposure Photo Scenario - Landscape Photo Scenario - Product Photo Scenario - Low Light Photo Scenario - Sports & Action Photo Scenario - Macro Photo Scenario - Street & Architecture Photo Scenario - Events Photo Scenario - Aerial Photo Scenario - Night Intro to Photo Editing Photoshop CC Lightroom Classic CC Lightroom CC Mac Photos Google Photos Photoshop Express Snapseed Sharing Your Photos Starting a Photo Business Selling Stock Photos Printing Wildlife Conclusion Course 09: Customer Relationship Management Module 01: Introduction to Customer Relationship Management (CRM) Module 02: CRM Fundamentals Module 03: CRM Strategies CRM Strategies Module 04: Data Analysis in CRM Module 05: CRM Databases Module 06: Deepening Customer Relationship Module 07: Handling Customer Complaints Module 08: Future of CRM Course 10: Baking and Cake Decorating Level 2 Module 01: Sophisticated Baking & Cake Design Module 02: Icing Module 03: Fondant Making Module 04: Decorating with Fondant Module 05: Everything in Brief Course 11: Health and Safety at Workplace Module 01: Health and Safety at Work and the Laws Module 02: Managing for Health and Safety Module 03: Risk Assessment and Common Risks Module 04: Workplace Health, Safety and Welfare Module 05: Accidents and Ill Health at Work Module 06: Electrical, Fire and Gas Safety Module 07: Safety in Different Work Settings Module 08: Work Equipment Hazards and Risk Control Module 09: Other Health and Safety Hazards at Work 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 (Previously it was £10 * 11 = £110) Hard Copy Certificate: Free (For The Title Course) If you want to get hardcopy certificates for other courses, generally you have to pay £20 for each. But this Fall, Apex Learning is offering a Flat 50% discount on hard copy certificates, and you can get each for just £10! P.S. The delivery charge inside the U.K. is £3.99 and the international students have to pay £9.99. CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? There is no experience or previous certifications required for enrolment on this bundle. It is available to all students, of all academic backgrounds. Requirements Our bundle is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various CPD certificate will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Certificates Certificate of completion Digital certificate - Included

Boost Your Career with Apex Learning and Get Noticed By Recruiters in this Hiring Season! Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Now With a single payment you will gain access to Diploma in Hairdressing and Hair Cutting including 10 premium courses, original hardcopy certificate, transcript and a student ID card which will allow you to get discounts on things like music, food, travel and clothes etc. Gain expert tuition in Hairdressing and Barbering and begin a new and exciting career in the UK beauty industry. This comprehensive course covers all aspects of unisex hairstyling and will provide you with the perfect experience for working in a salon or starting a business. The Diploma in Hairdressing and Hair Cuttingcourse presents multiple tips and recommendations over a range of online modules. You will be taught all relevant skills from cutting, colouring, plaiting, and cleaning hair, to trimming beards and engaging in lively consultations with your clients. It will empower you to promote your acquired talents and put yourself in the local hair care marketplace. Take this course anywhere and at any time. Don't let your lifestyle limit your learning or your potential. Diploma in Hairdressing and Hair Cutting will provide you with the CPD certificate that you'll need to succeed. Gain experience online and interact with experts. This can prove to be the perfect way to get noticed by a prospective employer and stand out from the crowd. Diploma in Hairdressing and Hair Cutting has been rated and reviewed highly by our learners and professionals alike. We have a passion for teaching, and it shows. All of our courses have interactive online modules that allow studying to take place where and when you want it to. The only thing you need to take Diploma in Hairdressing and Hair Cutting is Wi-Fi and a screen. You'll never be late for class again. Experienced tutors and mentors will be there for you whenever you need them, and solve all your queries through email and chat boxes. This Diploma in Hairdressing and Hair Cutting Bundle Consists of the following Premium courses: Course 01: Diploma in Hairdressing and Hair Cutting Course 02: Skin Care Treatment Course 03: Acne Treatments and Beauty Care Course 04: Advanced Diploma in Nutrition and Ketogenic Diet Course 05: Diploma in Hairdressing and Hair Cutting Course 06: Beauty & Fashion Training Course 07: Acrylic Nail Course 08: Online Nail Technician Diploma Course 09: Eyelash Lifting and Tinting Diploma Course 10: Make-up Artist Course 11: Personal Hygiene Benefits you'll get choosing Apex Learning for this Diploma in Hairdressing and Hair Cutting: One payment, but lifetime access to 11 CPD courses Certificates, student ID for the title course included in a one-time fee Full tutor support available from Monday to Friday Free up your time - don't waste time and money travelling for classes Accessible, informative modules taught 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 Curriculum Course 01: Diploma in Hairdressing and Hair Cutting Introduction to Barbering Hair Cutting Hair Styling Shampooing Course 02: Skin Care Treatment Module 01: Skin Anatomy Module 02: Skin Nutrients Module 03: Skin Care for Different Skin Types Module 04: Skin Care for Different Ethnicities Module 05: Reducing Ageing Effects Module 06: Hair Removal Examined Module 07: Diagnosis of Skin Disease Module 08: Eczema Module 09: Keratinising and Papulosquamous Disorders Module 10: Skin Infections Module 11: Remedies for Acne Prone Skin Module 12: Seasonal Skin Care Module 13: Effect of the Sun and Its' Remedies Course 03: Acne Treatments and Beauty Care Module 01: Understanding Acne Module 02: Skincare Routine Module 03: Medications Module 04: Diet Module 05: Lifestyle Course 04: Advanced Diploma in Nutrition and Ketogenic Diet Module 01: Introduction to Nutrition Module 02: Nutrients for Life - Macronutrients Module 03: Nutrients for Life - Micronutrients Module 04: Diet and Nutrition Related Diseases Module 05: Eating Disorders Module 06: Healthy Dieting Module 07: Diet and Nutrition Related Diseases Module 08: Use of Nutrition in Different Illnesses/Diseases Module 09: Nutrition Requirements from Pregnancy to Teenage Module 10: Nutrition Requirements for Adults and Various Groups Module 11: Weight Control Management Module 12: Weight Loss Management Module 13: Basics of Ketogenic Diet Module 14: The Role of Nutritionist Course 05: Diploma in Hairdressing and Hair Cutting Introduction to Barbering Cutting Styling Shampooing Course 06: Beauty & Fashion Training Makeup Professional Makeup and Beauty Tips Manicure Pedicure Hairdressing Hairstyling Course 07: Acrylic Nail Module 01: Nail Extension Techniques: An Introduction Module 02: Nail Anatomy Module 03: Nail Diseases and Disorders Module 04: Nail Product Chemistry Simplified Module 05: Nail Extension Techniques Module 06: Acrylic Nail Extension: Part-1 (Applying Tips to the Nails) Module 07: Acrylic Nail Extension: Part-2 (Applying Overlays) Module 08: Art in Acrylic Nails: Basic to Advance Module 09: Hands-on Nail Art Training Module 10: Maintaining Artificial Nails Module 11: Acrylic Nail Removal Module 12: Health and Safety in Beauty Salon Module 13: Client Care and Communication Course 08: Online Nail Technician Diploma Introduction Different Career Routes Anatomy and Physiology as Related to Nail Treatments Preparing the Work Area Sanitation and Sterilisation Nail and Skin Conditions Manicure and Pedicure Treatments Nail Extensions & Nail Overlays UV and LED Gels - Part 1 UV and LED Gels - Part 2 Nail Art Related Legislation in the United Kingdom Course 09: Eyelash Lifting and Tinting Diploma Module 1: Eye Lash Lift & Eyelash Tinting Module 2: Consultation Skills Module 3: How to Maintain a Safe, Secure and Hygienic salon Module 4: Eye and Eyelashes Anatomy Module 5: Contra Indications and Contra Actions Module 6: Product Information And Usage Guidelines Module 7: Lash Lifting Technique Course 10: Make-up Artist Make Up Skin Care Things To Know As a Beauty Professional Course 11: Personal Hygiene Introduction to Personal Hygiene and a Brief History Looking Clean, Smelling Clean Improving and Maintaining Oral Health Care of the Eyes Ear Care Secrets Foot & Nail Care in Personal Hygiene Hygienic Approach to Skin Care Maintain Good Toilet Hygiene Potential Hygiene Guidelines Personal Hygiene During Coronavirus Pandemic 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 (Previously it was £6*11 = £66) Hard Copy Certificate: Free (For The Title Course: Previously it was £10) If you want to get hardcopy certificates for other courses, generally you have to pay £20 for each. But this Fall, Apex Learning is offering a Flat 50% discount on hard copy certificates, and you can get each for just £10! P.S. The delivery inside the U.K. is Free. International students have to pay a £3.99 postal charge. CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? There is no experience or previous qualifications required for enrolment on this bundle. It is available to all students, of all academic backgrounds. Requirements Our bundle is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having this CPD certificate will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Diploma in Hairdressing and Hair Cutting) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Boost Your Career with Apex Learning and Get Noticed By Recruiters in this Hiring Season! Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Now Give a compliment to your career and take it to the next level. This Agricultural Science, Beekeeping & Pest Control will provide you with the essential knowledge and skills required to shine in your professional career. Whether you want to develop skills for your next job or want to elevate skills for your next promotion, this Agricultural Science, Beekeeping & Pest Control will help you keep ahead of the pack. The Agricultural Science, Beekeeping & Pest Control incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can reinforce your professional skills and essential knowledge, reaching out to the level of expertise required for your position. Further, this Agricultural Science, Beekeeping & Pest Control will add extra value to your resume to stand out to potential employers. Throughout the programme, it stresses how to improve your competency as a person in your profession while at the same time it outlines essential career insights in this job sector. Consequently, you'll strengthen your knowledge and skills; on the other hand, see a clearer picture of your career growth in future. By the end of the Agricultural Science, Beekeeping & Pest Control, you can equip yourself with the essentials to keep you afloat into the competition. Along with this Agricultural Science, Beekeeping & Pest Control course, you will get 10 other premium courses. Also, you will get an original Hardcopy and PDF certificate for the title course and a student ID card absolutely free. What other courses are included with this Agricultural Science, Beekeeping & Pest Control? Course 1: Natural Beekeeping Diploma Course 2: Diploma in Food Safety & Pest Management Course 3: Environmental Health Course 4: Land Management Course Course 5: Forestry Course 6: Hydroponics Gardening Course 7: Mushroom Growing Course Course 8: Reproduction in Flowering Plants Course 9: Master Herbalist Course 10: Diploma in Water Treatment So, enrol now to advance your career! Benefits you'll get choosing Apex Learning for this Agricultural Science, Beekeeping & Pest Control: One payment, but lifetime access to 11 CPD courses Certificate, student ID for the title course included in a one-time fee Full tutor support available from Monday to Friday Free up your time - don't waste time and money travelling for classes Accessible, informative modules taught 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 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 (Previously it was £6*11 = £66) Hard Copy Certificate: Free (For The Title Course: Previously it was £10) Curriculum of Agricultural Science, Beekeeping & Pest Control Bundle Course 1: Agricultural Science Module 1: Introduction to Agricultural Science Module 2: Horticulture and The Nursery Production Module 3: Plant Propagation Module 4: Soil Science Module 5: Plant Nutrition Module 6: Controlling Plant Pests Module 7: Weed Control Module 8: Home Gardening Module 9: Ornamental Plants Module 10: Cut Flowers Module 11: Permaculture Module 12: Aquaculture Module 13: Animal Farming - Raising Beef Cattle Module 14: Animal Farming - Milking of Dairy Cattle Course 2: Natural Beekeeping Diploma Module 1 Getting Started in Beekeeping Clothing and Equipment Needed How to Handle Bees Acquiring Bees Queen Management Techniques Raising Queen Bees Using Nectar Substitutes Using Pollen Substitutes Keeping Bees in a Suburban Area Module 2 About Bacterial Diseases About Viruses and Fungal Diseases About Varroa Mites The Small Hive Beetle About Nosema Bee Stings The Processing of Honey Equipment used for Honey Processing Course 3: Diploma in Food Safety & Pest Management Food Safety - Introduction Supervision of Food Safety Food Safety Legislation Food Safety Management Systems Food Safety Management Tools Microbiology Contamination Hazards Controlling Contamination Bacterial Food Poisoning and Food-Borne Illness Non-bacterial Food Poisoning Personal Hygiene Food and Temperature Control Checking, Verifying and Recording Temperature Food Spoilage and Preservation Food Premises and Equipment The Design and Construction Waste Disposal, Cleaning and Disinfection Pest Management Food Safety Training for the Staff Course 4: Environmental Health Module 01: Intro to Environmental Health Module 02: Waste, Pollution and Pollutants Module 03: Environment, Pollution, Climate Change and Health Module 04: Recovering Resources and Managing Waste Module 05: Food Waste Module 06: Plastic Module 07: Air Pollution Module 08: Water Module 09: Environmental Sustainability Course 5: Land Management Course Module 01: Land Management: An Introduction Module 02: Land Use and Land Use Planning Module 03: Soil Management Module 04: Land Degradation and Management Module 05: Weed Management Module 06: Watershed Management Module 07: Irrigation Management Module 08: Land Tenure, Administration and Transection Module 09: Land Registration and Acquisition Module 10: Land Law Course 6: Forestry Module-1: Introduction to Forestry Module-2: Forest Soil Module-3: Forest Menstruation Module-4: Forest Surveying Module-5: Silviculture Module-6: Forest Ecosystem Module-7: Timber Harvesting (Part One) Module-8: Timber Harvesting (Part Two) Module-9: Urban Forestry Course 7: Hydroponics Gardening Module 1: Introduction to Hydroponics Module 2: Systems of hydroponic culture Module 3: Plant Nutrition Module 4: Equipment Module 5: Rooting media Module 6: Seedling and Plant Maintenance Module 7: Nutritional Problems and Solutions in Plant Module 8: Growing in Greenhouses Course 8: Mushroom Growing Course Module-01: Introduction to Mushroom Cultivation Module-02: Identifying Edible Mushrooms Module-03: Mushroom Culture Part One Module-04: Mushroom Culture Part Two Module-05: Mushroom Spawning Module-06: Mushroom Compost Part One Module-07: Mushroom Compost Part Two Module-08: Making and Casing Mushroom Beds Module-09: Mushrooms Growing Conditions Module-10: Growing Mushrooms Outside Module-11: Harvesting and Storing Mushrooms Module-12: Mushroom Business Course 9: Reproduction in Flowering Plants Section 01: SEXUAL REPRODUCTION IN ANGIOSPERMS - PART I Section 02: SEXUAL REPRODUCTION IN ANGIOSPERMS - PART II Section 03: SEXUAL REPRODUCTION IN ANGIOSPERMS - PART III Section 04: SEXUAL REPRODUCTION IN ANGIOSPERMS - PART IV Course 10: Master Herbalist Introduction to Herbal Medicine Regulations and Safety Introduction to Botany Chemistry of Herbs Preparation of Herbal Remedies Herbal Hair and Skin Care Herbalist Approach and Conventional Herbal Medicines Herbs of Bible and China Ayurvedic Medicine Aromatherapy Creating a Successful Herbal Business Course 11: Diploma in Water Treatment Module 01: Overview of Water Treatment Module 02: Water Quality Module 03: Wastewater Sampling and Analysis Module 04: Preliminary Treatment Module 05: Coagulation, Flocculation and Clarification Module 06: Sedimentation Module 07: Filtration Module 08: Flotation Module 09: Removal of Fats, Oils and Grease Module 10: Inorganic Constituents Removal Module 11: Ion Exchange Module 12: Biological Process of Water Treatment Module 13: Aerobic Processes of Biological Treatment Module 14: Disinfection CPD 175 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Agricultural Science, Beekeeping & Pest Control bundle. Persons with similar professions can also refresh or strengthen their skills by enrolling in this course. Students can take this course to gather professional knowledge besides their study or for the future. Requirements Our Agricultural Science, Beekeeping & Pest Control is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various expertise will increase the value in your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included Certificate of completion is included in course price Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Agricultural Science) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

This course starts with the basics then moves seamlessly to an intermediate level. It includes a comprehensive yet balanced look at the four main components that make up Power BI Desktop: Report view, Data view, Model view, and the Power Query Editor. It also demonstrates how to use the online Power BI service. It looks at authoring tools that enables you to connect to and transform data from a variety of sources, allowing you to produce dynamic reports using a library of visualisations. Once you have those reports, the course looks at the seamless process of sharing those with your colleagues by publishing to the online Power BI service. The aim of this course is to provide a strong understanding of the Power BI analysis process, by working with real-world examples that will equip you with the necessary skills to start applying your knowledge straight away. 1 Getting started The Power BI process Launching Power BI Desktop The four views of Power BI Dashboard visuals 2 Connecting to files Connect to data sources Connect to an Excel file Connect to a CSV file Connect to a database Import vs. DirectQuery Connect to a web source Create a data table 3 Transforming data The process of cleaning data Column data types Remove rows with filters Add a custom column Append data to a table Fix error issues Basic maths operations 4 Build a data model Table relationships Manage table relationships 5 Merge queries Table join kinds Merging tables 6 Create report visualisations Creating map visuals Formatting maps Creating chart visuals Formatting chart Tables, matrixes, and cards Control formatting with themes Filter reports with slicers Reports for mobile devices Custom online visuals Export report data to Excel 7 The power query editor Fill data up and down Split columns by delimiter Add conditional columns Merging columns 8 The M formula Creating M functions Create an IF function Create a query group 9 Pivot and unpivot tables Pivot tables in the query editor Pivot and append tables Pivot but don't summarise Unpivot tables Append mismatched headers 10 Data modelling revisited Data model relationships Mark a calendar as a date table 11 Introduction to calculated columns New columns vs. measures Creating a new column calculation The SWITCH function 12 Introduction to DAX measures Common measure categories The SUM measure Adding measures to visuals COUNTROWS and DISINCTCOUNT functions DAX rules 13 The CALCULATE measure The syntax of CALCULATE Things of note about CALCULATE 14 The SUMX measure The SUMX measure X iterator functions Anatomy of SUMX 15 Introduction to time intelligence Importance of a calendar table A special lookup table The TOTALYTD measure Change year end in TOTALYTD 16 Hierarchy, groups and formatting Create a hierarchy to drill data Compare data in groups Add conditional formatting 17 Share reports on the web Publish to the BI online service Get quick insights Upload reports from BI service Exporting report data What is Q&A? Sharing your reports 18 Apply your learning Post training recap lesson

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Welcome To The Course Course Overview 00:02:00 Where to Get Articles 00:03:00 Let's Building Our Website! Free Hosting Service 00:01:00 Free Domain Name 00:07:00 Install WordPress 00:03:00 Cleaning Out Website 00:03:00 Change WordPress Defeat sittings 00:03:00 Installing The Theme 00:02:00 Create Logo & Pages & Categories 00:06:00 Add Posts and Widgets 00:07:00 Add ads on Our blog 00:04:00 Social Marketing Advantage Guide Social Marketing Advantage Guide 00:02:00 Assessment Assessment - WordPress For Beginners 00:10:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Duration 3 Days 18 CPD hours This course is intended for Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary. Overview By the end of this course, you will be able to build your own marketing reporting and interactive dashboard solutions. The course starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation.As you make your way through the course, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding sections, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. Data Preparation and Cleaning Data Models and Structured Data pandas Data Manipulation Data Exploration and Visualization Identifying the Right Attributes Generating Targeted Insights Visualizing Data Unsupervised Learning: Customer Segmentation Customer Segmentation Methods Similarity and Data Standardization k-means Clustering Choosing the Best Segmentation Approach Choosing the Number of Clusters Different Methods of Clustering Evaluating Clustering Predicting Customer Revenue Using Linear Regression Understanding Regression Feature Engineering for Regression Performing and Interpreting Linear Regression Other Regression Techniques and Tools for Evaluation Evaluating the Accuracy of a Regression Model Using Regularization for Feature Selection Tree-Based Regression Models Supervised Learning: Predicting Customer Churn Classification Problems Understanding Logistic Regression Creating a Data Science Pipeline Fine-Tuning Classification Algorithms Support Vector Machine Decision Trees Random Forest Preprocessing Data for Machine Learning Models Model Evaluation Performance Metrics Modeling Customer Choice Understanding Multiclass Classification Class Imbalanced Data Additional course details: Nexus Humans Data Science for Marketing Analytics training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Data Science for Marketing Analytics course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

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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.