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Delve into the intricate world of 'Data Structure' with our comprehensive course, meticulously crafted for those who have a penchant for understanding the skeleton of software engineering. Data structures form the backbone of algorithmic efficiency, and mastering them is akin to holding the master key to software optimisation. Our course is a confluence of foundational knowledge and complex data structuring, ensuring that you emerge not only informed but also invigorated, ready to tackle any computational challenge thrown your way. Learning Outcomes Gain foundational understanding of different data structures and their implementations. Discover the intricate details of arrays, linked lists, stacks, and queues. Develop the ability to effectively utilise advanced structures like AVL trees and Fenwick trees. Master techniques for optimising algorithmic efficiency using suitable data structures. Enhance problem-solving skills related to data storage and retrieval. Why choose this Data Structure course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Diploma in Data Structure at QLS Level 5 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Data Structure course for? Individuals keen on deepening their computer science foundations. Software developers aiming to optimise their code. Students pursuing computer science and related disciplines. Competitive coders desiring an edge in algorithm competitions. Tech enthusiasts eager to understand the underpinnings of efficient programming. Career path Software Developer: £25,000 - £45,000 Algorithm Engineer: £40,000 - £60,000 Data Scientist: £35,000 - £55,000 Backend Developer: £28,000 - £50,000 Systems Architect: £45,000 - £70,000 Data Engineer: £30,000 - £55,000 Prerequisites This Diploma in Data Structure at QLS Level 5 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Diploma in Data Structure at QLS Level 5 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £115 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Unit 01: Introduction Module 01: Promo Video 00:02:00 Module 02: Data Structure Introduction 00:05:00 Module 03: Computational Complexity Analysis 00:13:00 Unit 02: Arrays Module 01: Static and Dynamic Arrays 00:12:00 Module 02: Dynamic Arrays Source Code 00:07:00 Unit 03: Linked List Module 01: Singly and Doubly Linked Lists 00:15:00 Module 02: Doubly Linked Lists Source Code 00:10:00 Unit 04: Stack Module 01: Stack 00:12:00 Module 02: Stack Implementation 00:04:00 Module 03: Stack Source Code 00:04:00 Unit 05: Queues Module 01: Queues (Part-1) 00:06:00 Module 02: Queues (Part-2) 00:06:00 Module 03: Queue Source Code 00:04:00 Unit 06: Priority Queues (PQs) Module 01: Priority Queues (PQs) with an interlude on heaps 00:13:00 Module 02: Turning Min PQ into Max PQ 00:06:00 Module 03: Adding Elements to Binary Heap 00:10:00 Module 04: Removing Elements from Binary Heap 00:14:00 Module 05: Priority Queue Binary Heap Source Code 00:16:00 Unit 07: Union Find Module 01: Disjoint Set 00:06:00 Module 02: Kruskal's Algorithm 00:06:00 Module 03: Union and Find Operations 00:11:00 Module 04: Path Compression Union Find 00:07:00 Module 05: Union Find Source Code 00:08:00 Unit 08: Binary Search Trees Module 01: Binary Trees and Binary Search Trees (BST) 00:13:00 Module 02: Inserting Element into a Binary Search Tree (BST) 00:06:00 Module 03: Removing Element from a Binary Search Tree (BST) 00:14:00 Module 04: Tree Traversals 00:12:00 Module 05: Binary Search Source Code 00:13:00 Unit 09: Fenwick Tree Module 01: Fenwick Tree Construction 00:06:00 Module 02: Point Updates 00:05:00 Module 03: Binary Indexed Tree 00:14:00 Module 04: Fenwick Tree Source Code 00:06:00 Unit 10: Hash Tables Module 01: Hash Table 00:17:00 Module 02: Separate Chaining 00:08:00 Module 03: Separate Chaining Source Code 00:12:00 Module 04: Open Addressing 00:11:00 Module 05: Linear Probing 00:14:00 Module 06: Quadratic Probing 00:09:00 Module 07: Double Hashing 00:15:00 Module 08: Removing Element Open Addressing 00:08:00 Module 09: Open Addressing Code 00:15:00 Unit 11: Suffix Array Module 01: Introduction 00:03:00 Module 02: The Longest Common Prefix (LCP) Array 00:03:00 Module 03: Using SA/LCP Array to Find Unique Substrings 00:05:00 Module 04: Longest Common Substring (LCS) 00:11:00 Module 05: Longest Common Substring (LCS) Full Example 00:07:00 Module 06: Longest Repeated Substring (LRS) 00:05:00 Unit 12: AVL Trees Module 01: Balanced Binary Search Trees (BBSTs) 00:09:00 Module 02: Inserting Elements into an AVL Tree 00:10:00 Module 03: Removing an AVL Tree 00:09:00 Module 04: AVL Tree Source Code 00:17:00 Unit 13: Indexed Priority Queue Module 01: Indexed Priority Queue (Part-1) 00:25:00 Module 02: Indexed Priority Queue Source Code 00:09:00 Unit 14: Sparse Tables Module 01: Sparse Table 00:26:00 Module 02: Sparse Table Source Code 00:07:00 Assignment Assignment - Diploma in Data Structure at QLS Level 5 04:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

In an era where digital proficiency dominates the business realm, mastering the nuances of top-notch software like Xero can make a world of difference in the accounting sector. Dive deep into the intricacies of Xero Accounting & Bookkeeping and unravel the secrets of managing financial tasks seamlessly. Whether understanding how to add an accountant to Xero or effortlessly manoeuvring through invoices and sales, this course is tailored to give you a comprehensive grasp of the Xero software. The curriculum does more than just touch the surface. Our handpicked course modules ensure a holistic approach to Xero. From 'Getting Started'-a gentle introduction for beginners-to in-depth explorations of 'Bills and Purchases', 'Bank Accounts', and 'Fixed Assets', every topic is curated to provide a 360-degree understanding. And for those who've been searching for an efficient guide on adding an accountant to Xero, your search ends here. Our course isn't just about breadth; it's about depth, ensuring learners are equipped with the nuances and subtleties that can make all the difference in real-world scenarios. Learning Outcomes Acquire expertise in setting up and navigating the Xero accounting platform. Gain insights into the efficient management of invoices, sales, bills, and purchases. Understand the dynamics of managing bank accounts, products, and services on Xero. Develop skills in overseeing fixed assets, payroll, and processing VAT returns. Enhance competency in using Xero software for optimal financial management. Why choose this Certificate in Xero Accounting & Bookkeeping at QLS Level 3 course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Certificate in Xero Accounting & Bookkeeping at QLS Level 3 course for? Business owners eager to streamline their financial management processes. Aspiring accountants aiming to diversify their skillset with Xero proficiency. Bookkeepers looking to integrate Xero into their daily operations. Financial consultants seeking a digital edge in their advisory roles. Students of accounting and finance aiming to stay ahead in the digital accounting curve. Career path Xero Software Specialist: £28,000 - £35,000 Per Year Accountant (Xero Proficient): £30,000 - £45,000 Per Year Bookkeeper with Xero Expertise: £23,000 - £31,000 Per Year Financial Consultant (Xero Integrated): £35,000 - £52,000 Per Year Payroll Manager (Xero Familiarity): £27,000 - £40,000 Per Year VAT Returns Specialist: £29,000 - £37,000 Per Year Prerequisites This Certificate in Xero Accounting & Bookkeeping at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Method of Assessment To assess your learning of this Certificate in Xero Accounting & Bookkeeping at QLS Level 3 course, you have to participate in an automated multiple-choice question exam. You have to score at least 60% to pass the exam and to qualify for CPD accredited certificates. After passing the exam, you will be able to apply for a certificate. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Introduction Introduction 00:02:00 Getting Started Introduction - Getting Started 00:01:00 Signing up to Xero 00:04:00 Quick Tour of Xero 00:12:00 Initial Xero Settings 00:13:00 Chart of Accounts 00:14:00 Adding a Bank Account 00:08:00 Demo Company 00:04:00 Tracking Categories 00:07:00 Contacts 00:12:00 Invoices and Sales Introduction - Invoices and Sales 00:01:00 Sales Screens 00:04:00 Invoice Settings 00:13:00 Creating an Invoice 00:17:00 Repeating Invoices 00:07:00 Credit Notes 00:10:00 Quotes Settings 00:03:00 Creating Quotes 00:07:00 Other Invoicing Tasks 00:03:00 Sending Statements 00:03:00 Sales Reporting 00:05:00 Bills and Purchases Introduction - Bills and Purchases 00:01:00 Purchases Screens 00:04:00 Bill Settings 00:02:00 Creating a Bill 00:13:00 Repeating Bills 00:05:00 Credit Notes 00:06:00 Purchase Order Settings 00:02:00 Purchase Orders 00:08:00 Batch Payments 00:12:00 Other Billing Tasks 00:02:00 Sending Remittances 00:03:00 Purchases Reporting 00:05:00 Bank Accounts Introduction - Bank Accounts 00:01:00 Bank Accounts Screens 00:07:00 Automatic Matching 00:04:00 Reconciling Invoices 00:06:00 Reconciling Bills 00:03:00 Reconciling Spend Money 00:05:00 Reconciling Receive Money 00:04:00 Find and Match 00:04:00 Bank Rules 00:09:00 Cash Coding 00:04:00 Remove and Redo vs Unreconcile 00:04:00 Uploading Bank Transactions 00:07:00 Automatic Bank Feeds 00:06:00 Products and Services Introduction - Products and Services 00:01:00 Products and Services Screen 00:02:00 Adding Services 00:03:00 Adding Untracked Products 00:03:00 Adding Tracked Products 00:07:00 Fixed Assets Introduction - Fixed Assets 00:01:00 Fixed Assets Settings 00:05:00 Adding Assets from Bank Transactions 00:06:00 Adding Assets from Spend Money 00:05:00 Adding Assets from Bills 00:02:00 Depreciation 00:04:00 Payroll Introduction - Payroll 00:01:00 Payroll Settings 00:15:00 Adding Employees 00:18:00 Paying Employees 00:10:00 Payroll Filing 00:04:00 VAT Returns Introduction - VAT Returns 00:01:00 VAT Settings 00:02:00 VAT Returns - Manual Filing 00:06:00 VAT Returns - Digital Filing 00:02:00 Mock Exam Mock Exam - Certificate in Xero Accounting & Bookkeeping at QLS Level 3 00:20:00 Final Exam Final Exam - Certificate in Xero Accounting & Bookkeeping at QLS Level 3 00:20:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Dive into the world of sustainable architecture and environmental design with the 'LEED V4 - Diploma in Building Design and Construction at QLS Level 4.' This comprehensive course, meticulously structured over eleven units, offers a deep exploration of green building principles and practices. Starting with an introductory unit that sets the stage for a transformative learning journey, the course progresses through a series of meticulously crafted modules. Each unit, from the integrative process to regional priority considerations, is designed to enhance understanding and skills in creating environmentally responsible and resource-efficient buildings. The curriculum culminates with a completion unit, ensuring learners emerge with a holistic grasp of the subject matter. The diploma not only educates but inspires, focusing on critical areas such as location and transportation, sustainable site development, water efficiency strategies, energy and atmosphere considerations, and the use of sustainable materials and resources. It also delves into the nuances of indoor environmental quality and innovative approaches to building design and construction. This course is an invaluable resource for those aspiring to make a significant impact in the building and construction industry, equipping them with the knowledge to design and construct buildings that align with the advanced standards of LEED V4. Learning Outcomes Acquire comprehensive knowledge of sustainable building practices and principles. Develop expertise in optimizing water usage and energy efficiency in construction. Gain skills in selecting and utilizing sustainable materials and resources. Understand the significance of indoor environmental quality in building design. Master innovative strategies for building design and construction with a focus on regional priorities. Why choose this LEED V4 - Diploma in Building Design and Construction at QLS Level 4 course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this LEED V4 - Diploma in Building Design and Construction at QLS Level 4 course for? Aspiring architects and designers keen on specializing in sustainable construction. Professionals in the construction industry aiming to enhance their eco-friendly building skills. Environmental consultants seeking to deepen their knowledge of green building practices. Urban planners interested in incorporating sustainable strategies in city designs. Project managers in the construction sector aiming to adopt LEED V4 standards. Career path Sustainable Architect: £30,000 - £50,000 Green Building Consultant: £35,000 - £55,000 Environmental Design Coordinator: £32,000 - £48,000 Urban Sustainability Planner: £28,000 - £45,000 Resource Efficiency Manager: £34,000 - £52,000 Eco-friendly Construction Project Manager: £36,000 - £60,000 Prerequisites This LEED V4 - Diploma in Building Design and Construction at QLS Level 4 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £95 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Unit 01: Introduction Introduction 00:01:00 Getting Started 00:04:00 Minimum Program Requirements 00:07:00 Rating System Selection 00:07:00 Unit 02: Integrative Process Integrative Process 00:04:00 Integrative Project Planning and Design 00:02:00 Unit 03: Location & Transportation Overview 00:03:00 Neigbourhoud Development 00:03:00 Sensitive Land 00:02:00 Surrounding Density & Diverse Uses 00:07:00 High Priority Site 00:02:00 Access to Quality Transit 00:06:00 Bicycle Facilities 00:06:00 Reduced Parking Footprint 00:04:00 Green Vehicles 00:04:00 Unit 04: Sustainable Sites Overview 00:02:00 Construction Activity Pollution Prevention 00:03:00 Environmental Site Assessment 00:03:00 Restore or Protect Habitat 00:04:00 Open Space 00:03:00 Rainwater Management 00:03:00 Heat Island Reduction 00:04:00 Light Pollution Reduction 00:05:00 Site Master Plan 00:02:00 Tenant Design and Construction Guidelines 00:02:00 Places of Respite 00:03:00 Direct Exterior Access 00:02:00 Joint Use Facilities 00:03:00 Unit 05: Water Efficiency Overview 00:01:00 Prereq Outdoor Water Use 00:03:00 Prereq Indoor Water Use 00:04:00 Prereq Building Water Metering 00:02:00 Credit Outdoor Water Use 00:02:00 Credit Indoor Water Use 00:03:00 Cooling Tower Water use 00:03:00 Building Water Metering Credit 00:02:00 Unit 06: Energy & Atmosphere Overview 00:02:00 Fundamental Commissioning & Verification 00:04:00 Minimum Energy Performance 00:05:00 Prereq Building Level Energy Metering 00:02:00 Fundamental Refrigerant Management 00:02:00 Enhanced Commissioning 00:05:00 Minimum Energy Performance 00:04:00 Advanced Energy Metering 00:02:00 Demand Response 00:03:00 Renewable Energy Production 00:02:00 Enhanced Refrigerant Management 00:03:00 Green Powerand Carbon Offsets 00:02:00 Unit 07: Materials & Resources Overview 00:02:00 Storage and Collection of Recyclables 00:03:00 Construction and Demolition Waste Management Planning 00:02:00 Preq PBT Source Reduction - Mercury 00:03:00 Building Life Cycle Impact Reduction 00:05:00 BPDO Environmental Product Declaration 00:04:00 BPDO Sourcing of Raw Materials (2020 Update Web) 00:03:00 BPDO Material Ingredients 00:05:00 PBT Source Reduction - Mercury Credit 00:02:00 PBT Source Reduction - Lead Cadmium Copper 00:03:00 Furniture and Medical Furnishings 00:04:00 Design for Flexibilty 00:02:00 Construction and Demolition Waste Management 00:03:00 Unit 08: Indoor Environment Quality Overview 00:01:00 Min Indoor Air Quality Performance 00:06:00 Environmental Tobacco Smoke Control 00:03:00 Minimum Accoustic Performance 00:03:00 Enhanced Indoor Air Quality Strategies 00:02:00 Low Emitting Materials 00:03:00 Construction Indoor Air Quality Management Plan 00:04:00 Indoor Air Quality Assessment 00:03:00 Thermal Comfort 00:04:00 Interior Lighting 00:06:00 Daylight 00:06:00 Quality Views 00:03:00 Accoustic Performance 00:03:00 Unit 09: Innovation Innovation Credit 00:03:00 Innovation LEED AP 00:01:00 Unit 10: Regional Priority Regional Priority Overview 00:01:00 Regional Priority Credit 00:02:00 Unit 11: Completion Completion 00:01:00 Assignment Assignment - LEED V4 - Diploma in Building Design and Construction at QLS Level 4 02:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Step into the captivating world of Functional Skills Maths Level 2, a course that transcends mere numbers. It's not just about equations; it's about empowering you to conquer challenges and infuse confidence into your every step. Imagine a world where percentages aren't daunting but doors opening to financial empowerment.    Functional Skills Maths Level 2 equips learners with essential mathematical competencies. This course addresses real-world challenges, empowering individuals to navigate daily life, business, and further education with confidence. Proficiency in BODMAS, decimals, ratios, and more provides tangible benefits, fostering problem-solving and decision-making skills. Students gain a competitive edge in personal and professional spheres, improving their prospects and contributing to a numerically literate society.   By mastering concepts like percentages and unitary methods, learners enhance their financial acumen, crucial for managing personal finances or pursuing business ventures. This course is a gateway to unlocking opportunities, and fostering a deeper understanding of mathematical applications in diverse contexts. The practical skills acquired are invaluable for achieving academic success, career advancement, and overall personal development.   Learning Outcomes Apply rules of BODMAS for accurate mathematical simplification. Demonstrate proficiency in working with integers and directed numbers. Master calculations involving decimals, percentages, and scientific notation. Analyse and solve problems related to profit, loss, discount, and tax. Utilise unitary methods in practical applications and problem-solving scenarios. Understand and apply concepts of ratio, proportion, and fractions effectively. Successfully estimate and approximate numerical values in real-world situations. Comprehend the principles of factors, multiples, and their mathematical relationships. Apply mathematical skills to solve mock and final exam questions effectively.   Who is this Award in Functional Skills Maths at QLS Level 2 Course For? Individuals seeking practical math skills for daily life. Students aiming for academic success and confidence in mathematics. Professionals looking to enhance their financial literacy. Entrepreneurs and business enthusiasts want sound mathematical foundations. Anyone wanting to improve problem-solving abilities through practical math.   Why Choose This Award in Functional Skills Maths at QLS Level 2 Course Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success.   Career Path Administrative roles: Administrative Assistant (£18,000 - £25,000 per year) Retail positions: Retail Manager (£20,000 - £45,000 per year) Finance sector: Junior Accountant (£20,000 - £30,000 per year) Business ownership: Small Business Owner (Earnings vary widely) Further studies: Access to higher-level math courses for specialised careers.   Prerequisites This Functional Skills Maths - Level 2 is open to all, irrespective of prior qualifications. Enrolling is simple, and the course, created by experts, functions seamlessly on PCs, Macs, tablets, and smartphones. With accessibility from any location with a reliable internet connection, this course provides convenient learning options.   Certification After finishing the course content, you'll encounter a written assignment test. Upon successful completion, you can acquire a PDF certificate for a fee of £4.99. If you prefer a physical copy, you can order an original hard copy for an extra £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £75 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Integers ( Directed Numbers) Lecture 1 Introduction 00:02:00 Lecture 2 Multiplying any digit number by 11, 22, and 33 00:09:00 Lecture 3 Integers and ordering of integers 00:06:00 Lecture 4 Addition and Subtractions of Integers 00:07:00 Lecture 5 Operations on Integers 00:04:00 Lecture 6 Multiplication and Division of Integers 00:04:00 Lecture 7 Powers of Integers (Exponents) 00:04:00 Factors and Multiples Lecture 8 Complete knowledge about factors and multiples 00:06:00 Lecture 9 Divisibility tests for 2,3,4,5,6 00:07:00 Lecture 10 Divisibility rules 7,8,9,10,11 00:06:00 Lecture 11 Prime Factorization 00:06:00 Lecture 12 Highest Common Factor HCF 00:10:00 Lecture 13 Least Common Multiple LCM 00:16:00 Lecture 14 Relation between LCM and HCF 00:04:00 Fractions Lecture 15 Classification of Fractions 00:04:00 Lecture 16 Convert mixed to improper and improper to mixed fractions 00:03:00 Lecture 17 Equivalent Fractions 00:04:00 Lecture 18 Comparing Fractions after converting to like fractions 00:09:00 Lecture 19 Reducing a fraction to lowest term 00:04:00 Lecture 20 Addition and subtraction OF fractions 00:08:00 Lecture 21 Multiplication and division of fractions 00:11:00 Lecture 22 Word problems on fractions 00:16:00 Simplification Rule : BODMAS Lecture 23 BODMAS and rules to remove brackets 00:03:00 Lecture 24 Simplify expressions using BODMAS rules 00:05:00 Lecture 25 Simplify expressions involving fractions using BODMAS 00:07:00 Decimal numbers Lecture 26 Decimal numbers in relation to fractions 00:08:00 Lecture 27 Like and unlike Decimals 00:05:00 Lecture 28 Ordering of Decimal numbers 00:10:00 Lecture 29 Addition and subtraction of Decimal 00:07:00 Lecture 30 Multiplication of Decimal 00:03:00 Lecture 31 Division of Decimal 00:05:00 Rational Numbers Lecture 32 Rational number 00:02:00 Lecture 33 Representation of Rational Numbers on Number line 00:04:00 Lecture 34 Determining which fraction is terminating or non terminating 00:05:00 Lecture 35 shortcut method of writing decimal expansion of fraction to decimal 00:08:00 Approximation Lecture 36 Rounding to whole number 00:06:00 Lecture 37 Rounding to required number of decimals (1 d.p. ) 00:05:00 Lecture 38 rounding to significant digits 00:07:00 Lecture 39 Practice question on three methods of approximation 1 00:05:00 Estimation and Scientific Notation or Standard form Lecture 40 Estimation 00:05:00 Lecture 41 Scientific Notation 00:07:00 Lecture 42 Operation on numbers when they are in scientific notation 00:06:00 Percentage Lecture 43 Percentage to fraction and fraction to percentage 00:06:00 Lecture 44 Percentage of a quantity and conversation to decimal 00:06:00 Lecture 45 Expressing one quantity as percentage of another quantity 00:06:00 Lecture 46 Finding increase decrease percent 00:05:00 Lecture 47 Uses of percentages-Word Problems 00:09:00 Ratio and Proportion Lecture 48 Ratio- How to express as simple ratio 00:09:00 Lecture 49 How to compare Ratios 00:04:00 Lecture 50 Word problems on finding ratios 00:07:00 Lecture 51 To divide a given quantity into a given Ratio 00:11:00 Lecture 52 Proportion 00:04:00 Lecture 53 Practice problems on Proportion 00:06:00 Lecture 54 Continued proportion 00:06:00 Unitary Method and its Applications Lecture 55 Direct Variation ( or proportion) 00:04:00 Lecture 56 Problems based on Direct proportion 00:10:00 Lecture 57 Inverse Variation ( or proportion) 00:10:00 Lecture 58 Multiple Ratios 00:10:00 Profit , Loss, discount and Tax Lecture 59 Basics - Profit and Loss 00:04:00 Lecture 60 More practice problems on Profit & Loss 00:06:00 Lecture 61 Selling price formula and Problems 00:04:00 Lecture 62 Cost price formula and Problems 00:03:00 Lecture 63 Higher problems on Profit and Loss 00:08:00 Lecture 64 Basics - Discount.mp4 00:05:00 Lecture 65 Practice problems on Discount 00:04:00 Lecture 66 Tax 00:06:00 Mock Exam Mock Exam - Award in Functional Skills Maths at QLS Level 2 00:20:00 Final Exam Final Exam - Award in Functional Skills Maths at QLS Level 2 00:20:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Do you want to master the essential mathematical skills for data science and machine learning? Do you want to learn how to apply statistics and probability to real-world problems and scenarios? If yes, then this course is for you! In this course, you will learn the advanced concepts and techniques of statistics and probability that are widely used in data science and machine learning. You will learn how to describe and analyse data using descriptive statistics, distributions, and probability theory. You will also learn how to perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data. You will gain hands-on experience with practical exercises and projects using Python and R. Learning Outcomes By the end of this course, you will be able to: Apply descriptive statistics, distributions, and probability theory to summarise and visualise data Perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data Use Python and R to implement statistical and machine learning methods Interpret and communicate the results of your analysis using appropriate metrics and visualisations Solve real-world problems and scenarios using statistics and probability Why choose this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course for? This course is for anyone who wants to learn the advanced concepts and techniques of statistics and probability for data science and machine learning. This course is suitable for: Data scientists, machine learning engineers, and analysts who want to enhance their skills and knowledge Students and researchers who want to learn the mathematical foundations of data science and machine learning Professionals and managers who want to understand and apply data-driven decision making Hobbyists and enthusiasts who want to explore and learn from data Anyone who loves statistics and probability and wants to challenge themselves Career path Data Scientist (£35,000 - £55,000) Machine Learning Engineer (£40,000 - £60,000) Statistician (£35,000 - £55,000) Data Analyst (£40,000 - £60,000) Business Intelligence Analyst (£45,000 - £65,000) Senior Data Analyst (£50,000 - £70,000) Prerequisites This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £135 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Section 01: Let's get started Welcome! 00:02:00 What will you learn in this course? 00:06:00 How can you get the most out of it? 00:06:00 Section 02: Descriptive statistics Intro 00:03:00 Mean 00:06:00 Median 00:05:00 Mode 00:04:00 Mean or Median? 00:08:00 Skewness 00:08:00 Practice: Skewness 00:01:00 Solution: Skewness 00:03:00 Range & IQR 00:10:00 Sample vs. Population 00:05:00 Variance & Standard deviation 00:11:00 Impact of Scaling & Shifting 00:19:00 Statistical moments 00:06:00 Section 03: Distributions What is a distribution? 00:10:00 Normal distribution 00:09:00 Z-Scores 00:13:00 Practice: Normal distribution 00:04:00 Solution: Normal distribution 00:07:00 Section 04: Probability theory Intro 00:01:00 Probability Basics 00:10:00 Calculating simple Probabilities 00:05:00 Practice: Simple Probabilities 00:01:00 Quick solution: Simple Probabilities 00:01:00 Detailed solution: Simple Probabilities 00:06:00 Rule of addition 00:13:00 Practice: Rule of addition 00:02:00 Quick solution: Rule of addition 00:01:00 Detailed solution: Rule of addition 00:07:00 Rule of multiplication 00:11:00 Practice: Rule of multiplication 00:01:00 Solution: Rule of multiplication 00:03:00 Bayes Theorem 00:10:00 Bayes Theorem - Practical example 00:07:00 Expected value 00:11:00 Practice: Expected value 00:01:00 Solution: Expected value 00:03:00 Law of Large Numbers 00:08:00 Central Limit Theorem - Theory 00:10:00 Central Limit Theorem - Intuition 00:08:00 Central Limit Theorem - Challenge 00:11:00 Central Limit Theorem - Exercise 00:02:00 Central Limit Theorem - Solution 00:14:00 Binomial distribution 00:16:00 Poisson distribution 00:17:00 Real life problems 00:15:00 Section 05: Hypothesis testing Intro 00:01:00 What is a hypothesis? 00:19:00 Significance level and p-value 00:06:00 Type I and Type II errors 00:05:00 Confidence intervals and margin of error 00:15:00 Excursion: Calculating sample size & power 00:11:00 Performing the hypothesis test 00:20:00 Practice: Hypothesis test 00:01:00 Solution: Hypothesis test 00:06:00 T-test and t-distribution 00:13:00 Proportion testing 00:10:00 Important p-z pairs 00:08:00 Section 06: Regressions Intro 00:02:00 Linear Regression 00:11:00 Correlation coefficient 00:10:00 Practice: Correlation 00:02:00 Solution: Correlation 00:08:00 Practice: Linear Regression 00:01:00 Solution: Linear Regression 00:07:00 Residual, MSE & MAE 00:08:00 Practice: MSE & MAE 00:01:00 Solution: MSE & MAE 00:03:00 Coefficient of determination 00:12:00 Root Mean Square Error 00:06:00 Practice: RMSE 00:01:00 Solution: RMSE 00:02:00 Section 07: Advanced regression & machine learning algorithms Multiple Linear Regression 00:16:00 Overfitting 00:05:00 Polynomial Regression 00:13:00 Logistic Regression 00:09:00 Decision Trees 00:21:00 Regression Trees 00:14:00 Random Forests 00:13:00 Dealing with missing data 00:10:00 Section 08: ANOVA (Analysis of Variance) ANOVA - Basics & Assumptions 00:06:00 One-way ANOVA 00:12:00 F-Distribution 00:10:00 Two-way ANOVA - Sum of Squares 00:16:00 Two-way ANOVA - F-ratio & conclusions 00:11:00 Section 09: Wrap up Wrap up 00:01:00 Assignment Assignment - Statistics & Probability for Data Science & Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Uncover Excel 2019's potential through our comprehensive Microsoft Excel course. It empowers you to master features, calculations, data analysis, and automation. Whether you're new to spreadsheets or aiming for data expertise, this course is tailored for you. Our Microsoft Excel course simplifies Excel's complexities, making it beginner-friendly. It equips you with skills vital in today's data-driven landscape. Beyond personal growth, this Microsoft Excel course boosts career prospects. Excel proficiency is valuable in a competitive job market, opening doors to diverse opportunities. Our course is a transformative journey into Excel 2019, unlocking potential, enhancing skills, and advancing careers. Whether you're a novice or aspiring data pro, it's your key to Excel's power and your potential. Learning Outcomes of our Microsoft Excel course: Master Microsoft Excel 2019's latest features. Perform complex calculations with ease. Create visually appealing and well-formatted worksheets. Analyze and visualize data effectively using charts and PivotTables. Automate workbook tasks with Excel VBA. Why buy this Advanced Diploma in Microsoft Excel Complete Course 2019 at QLS Level 7? Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Who is this Advanced Diploma in Microsoft Excel Complete Course 2019 at QLS Level 7 for? Individuals new to Microsoft Excel looking to build a strong foundation. Students and job seekers aiming to enhance their employability. Business professionals wanting to improve data management and analysis skills. Entrepreneurs seeking to streamline their business processes. Anyone interested in harnessing the power of Excel for personal or professional growth. Prerequisites This Advanced Diploma in Microsoft Excel Complete Course 2019 at QLS Level 7 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Analyst: £25,000 - £40,000 per year Financial Analyst: £30,000 - £50,000 per year Business Intelligence Analyst: £30,000 - £55,000 per year Operations Manager: £35,000 - £70,000 per year Project Manager: £40,000 - £70,000 per year Excel VBA Developer: £35,000 - £60,000 per year Certification After studying the course materials of the Advanced Diploma in Microsoft Excel Complete Course 2019 at QLS Level 7 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 £4.99. Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £135 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Microsoft Excel 2019 New Features Introduction to Microsoft Excel 2019 New Features 00:07:00 CONCAT 00:02:00 IFS 00:01:00 MAXIFS 00:01:00 MINIFS 00:01:00 SWITCH 00:02:00 TEXTJOIN 00:01:00 Map Chart 00:02:00 Funnel Chart 00:01:00 Better Visuals 00:06:00 Pivot Table Enhancements 00:02:00 Power Pivot Updates 00:01:00 Getting Started with Microsoft Office Excel Navigate the Excel User Interface 00:28:00 Use Excel Commands 00:10:00 Create and Save a Basic Workbook 00:19:00 Enter Cell Data 00:12:00 Use Excel Help 00:05:00 Performing Calculations Create Worksheet Formulas 00:15:00 Insert Functions 00:17:00 Reuse Formulas and Functions 00:17:00 Modifying a Worksheet Insert, Delete, and Adjust Cells, Columns, and Rows 00:10:00 Search for and Replace Data 00:09:00 Use Proofing and Research Tools 00:07:00 Formatting a Worksheet Apply Text Formats 00:16:00 Apply Number Format 00:08:00 Align Cell Contents 00:09:00 Apply Styles and Themes 00:12:00 Apply Basic Conditional Formatting 00:11:00 Create and Use Templates 00:08:00 Printing Workbooks Preview and Print a Workbook 00:10:00 Set Up the Page Layout 00:09:00 Configure Headers and Footers 00:07:00 Managing Workbooks Manage Worksheets 00:05:00 Manage Workbook and Worksheet Views 00:07:00 Manage Workbook Properties 00:06:00 Working with Functions Work with Ranges 00:18:00 Use Specialized Functions 00:11:00 Work with Logical Functions 00:23:00 Work with Date & Time Functions 00:08:00 Work with Text Functions 00:11:00 Working with Lists Sort Data 00:10:00 Filter Data 00:10:00 Query Data with Database Functions 00:09:00 Outline and Subtotal Data 00:09:00 Analyzing Data Apply Intermediate Conditional Formatting 00:07:00 Apply Advanced Conditional Formatting 00:05:00 Visualizing Data with Charts Create Charts 00:13:00 Modify and Format Charts 00:12:00 Use Advanced Chart Features 00:12:00 Using PivotTables and PivotCharts Create a PivotTable 00:13:00 Analyze PivotTable Data 00:12:00 Present Data with PivotCharts 00:07:00 Filter Data by Using Timelines and Slicers 00:11:00 Working with Multiple Worksheets and Workbooks Use Links and External References 00:12:00 Use 3-D References 00:06:00 Consolidate Data 00:05:00 Using Lookup Functions and Formula Auditing Use Lookup Functions 00:12:00 Trace Cells 00:09:00 Watch and Evaluate Formulas 00:08:00 Sharing and Protecting Workbooks Collaborate on a Workbook 00:19:00 Protect Worksheets and Workbooks 00:08:00 Automating Workbook Functionality Apply Data Validation 00:13:00 Search for Invalid Data and Formulas with Errors 00:04:00 Work with Macros 00:18:00 Creating Sparklines and Mapping Data Create Sparklines 00:07:00 MapData 00:07:00 Forecasting Data Determine Potential Outcomes Using Data Tables 00:08:00 Determine Potential Outcomes Using Scenarios 00:09:00 Use the Goal Seek Feature 00:04:00 Forecasting Data Trends 00:05:00 Excel VBA Data Management Create a Macro Using the Macro Recorder 01:00:00 Edit a Macro 01:00:00 Debug a Macro 00:30:00 Customize the Quick Access Toolbar and Hotkeys 00:30:00 Set Macro Security 01:00:00 Insert Text 00:30:00 Format Text 00:30:00 Sort Data 00:30:00 Duplicate Data 01:00:00 Generate a Report 01:00:00 Determine the Dialog Box Type 00:15:00 Capture User Input 01:00:00 Insert, Copy, and Delete Worksheets 00:30:00 Rename Worksheets 00:30:00 Modify the Order of Worksheets 00:15:00 Print Worksheets 00:30:00 Create User-Defined Functions 00:30:00 Automate SUM Functions 00:30:00 Excel Templates Excel Templates 00:00:00 Resources Resources - Microsoft Excel - Beginner Course - Cpd Accredited 00:00:00 Mock Exam Mock Exam - Microsoft Excel Complete Course 2019 00:20:00 Final Exam Final Exam - Microsoft Excel Complete Course 2019 00:20:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

In today's competitive landscape, the imperative to enhance organisational performance has never been greater. At the heart of this quest lies the mastery of Quality Management Systems (QMS) and strategic training, essential for any entity aiming to outshine its competitors. Our 'Advanced Diploma in Quality Management and Strategic Training - ISO 9001 at QLS Level 7' course is meticulously crafted to arm participants with the knowledge and tools necessary to implement and manage an effective QMS. It intertwines the principles of Total Quality Management (TQM) with the nuances of managing a quality service, ensuring a holistic understanding that transcends traditional management practices. Through a deep dive into critical definitions, the course unfolds the fabric of quality management, elucidating the roles and responsibilities within a QMS. It adeptly covers the major changes in the field, incorporating the latest trends in financial data quality management and the strategic aspects of quality management systems. This course is not just about theory; it's an invitation to explore the practicalities of setting and achieving quality objectives, evaluating performance, and utilising helpful tools to ensure continuous improvement. Embarking on this journey, learners will uncover the qualities of a good manager and the strategic training necessary for excellence. The curriculum is designed to foster an environment where managing a quality service becomes second nature, preparing participants for a myriad of quality manager jobs. With a focus on the process approach and the context of the organisation, this course is a beacon for those seeking to elevate their career to new heights in quality management. Learning Outcomes: Understand the foundation and application of quality management systems and TQM principles within an organisation. Gain insights into effective strategies for managing a quality service and enhancing financial data quality management. Learn the essential qualities of a good manager and the role of strategic training in achieving organisational excellence. Master the process approach to QMS and how to set, achieve, and evaluate quality objectives effectively. Acquire the knowledge to navigate major changes in quality management and utilise helpful tools for continuous improvement. Why buy this Advanced Diploma in Quality Management and Strategic Training - ISO 9001 at QLS Level 7? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Advanced Diploma in Quality Management and Strategic Training - ISO 9001 at QLS Level 7 for? Individuals aspiring to pursue a career in quality management. Current managers seeking to enhance their strategic training and management skills. Professionals responsible for implementing and maintaining QMS in their organizatiorganisationsnterested in understanding the intricacies of ISO 9001 and its application. Learners aiming to acquire a comprehensive understanding of performance evaluation within QMS. Prerequisites This Advanced Diploma in Quality Management and Strategic Training - ISO 9001 at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Advanced Diploma in Quality Management and Strategic Training - ISO 9001 at QLS Level 7 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 Quality Manager: £35,000 - £60,000 Per Annum QMS Specialist: £30,000 - £50,000 Per Annum Process Improvement Manager: £40,000 - £65,000 Per Annum Quality Assurance Director: £50,000 - £80,000 Per Annum Quality Systems Auditor: £25,000 - £45,000 Per Annum Strategic Quality Planner: £45,000 - £70,000 Per Annum Certification After studying the course materials of the Advanced Diploma in Quality Management and Strategic Training - ISO 9001 at QLS Level 7 there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99. Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £135 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Course Structure Course Structure 00:07:00 Critical Definitions What is Quality 00:02:00 What is ISO 00:08:00 What is a System - Management System 00:02:00 What is Policy - Quality Policy 00:06:00 What is Vision, Mission & Strategy 00:03:00 QA Vs QC 00:06:00 Effectiveness Vs Efficiency 00:06:00 Verification Vs Validation 00:11:00 Conformity Vs Nonconformity Vs Defect 00:04:00 Correction Vs Corrective Action Vs Preventive Action 00:08:00 Risk & Preventive Action 00:06:00 What is Competence 00:03:00 What is the Context of the Organization 00:05:00 Who are the Interested parties 00:03:00 What are the Needs & expectations 00:05:00 Management System Requirements 00:01:00 Who is a customer 00:02:00 What is Customer Satisfaction 00:06:00 Product Vs Service Vs Process 00:05:00 Document Vs Record 00:06:00 What is Customer Complaint 00:02:00 Measuring Vs Monitoring Vs Performance 00:02:00 Who is Responsible Who is Responsible 00:12:00 Responsibility Vs Accountability 00:02:00 Quality Management Principles Quality Management Principles 00:17:00 Major Changes ISO 9001:2015 Core Concepts 00:08:00 Major terminology Differences 00:04:00 Documented Information 00:07:00 Major changes - Organizational Knowledge 00:05:00 Major changes - Risk Based Thinking 00:06:00 Process Approach Process Approach Concept-1 00:04:00 What is PDCA 00:05:00 Process Approach Concept-2 00:03:00 Process Approach in ISO 9001:2015 00:04:00 Key Benefits 00:07:00 PDCA in ISO 9001 2015 00:10:00 Context of the Organization Understanding the Organization and its Context 00:08:00 Internal & External issues 00:03:00 SWOT Analysis 00:06:00 Interested Parties & their Needs & Expectations 00:03:00 KANO Model 00:10:00 Understanding the context - Summary 00:08:00 Choosing your Strategic Objective 00:05:00 Strategic Map Examples-1 00:03:00 Strategic Planning Process 00:06:00 What is a Vision 00:06:00 How to Create a Vision Statement 00:08:00 What is a Mission 00:06:00 SMART GOAL 00:06:00 SMART Goal Example 00:04:00 Strategic Map Examples-2 00:10:00 Context Chapter Summary 00:07:00 Quality Objectives Quality Objectives & Planning 00:05:00 ISO & SMART 00:02:00 Objectives Origin 00:06:00 Objectives Examples 00:07:00 Goal Vs Objective-1 00:07:00 Goal Vs Objective Example 00:02:00 Goal Vs Objective-2 00:10:00 Performance Evaluation Performance Evaluation in ISO 9001:2015 00:10:00 Customer Satisfaction 00:06:00 Analysis & Evaluation 00:12:00 Key Performance Indicators 00:08:00 Dashboard Examples 00:07:00 Management Review Meetings 00:11:00 Improvement 00:16:00 Nonconformity & Corrective Action 00:06:00 Nonconformity & Corrective Action Example 00:06:00 Nonconformity & Corrective Action Origin 00:06:00 Continual Improvement 00:01:00 Analysis Mindset 00:09:00 Quantitative Vs Qualitative 00:16:00 Now What Now What? 00:11:00 Course Summary 00:10:00 Helpful Tools SIPOC 00:06:00 Flowcharts 00:04:00 Control Charts 00:04:00 Cause and Effect Diagram 00:06:00 Pareto Chart 00:07:00 5 WHYs 00:03:00 Other Tools 00:08:00 Finally! 00:01:00 See you soon Bonus Lecture 00:02:00 Assignment Assignment - Advanced Diploma in Quality Management and Strategic Training - ISO 9001 at QLS Level 7 04:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Overview Dive deep into the intricate world of medical coding with our comprehensive course, offering an immersive experience in the standardised language of healthcare. Our curriculum not only initiates you into the introductory aspects but also takes you through detailed coding conventions and guidelines for various diseases and conditions, spanning infectious diseases to congenital abnormalities. Understanding medical coding is imperative in the healthcare industry for accurate documentation, billing, and patient care, making it an indispensable skill for anyone interested in a career in healthcare administration. Learning Outcomes Understand the foundational principles of medical coding and its significance in healthcare. Decode and apply conventions specific to the ICD-10-CM. Interpret and implement chapter-specific coding guidelines for a diverse range of diseases and conditions. Differentiate and categorise diseases into their respective chapters, ensuring precise documentation. Synthesise medical records, disease classifications, and coding guidelines to ensure accurate medical billing and administrative procedures. Why buy this Certificate in Medical Coding- ICD-10-CM at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this course for? Individuals keen on starting a career in healthcare administration and billing. Medical administrators looking to refine and update their knowledge. Healthcare professionals desiring an understanding of the backend administrative process. Medical students wishing to diversify their skill set. Coding enthusiasts interested in the healthcare sector. Career path Medical Coder: £24,000 - £29,000 annually Health Information Manager: £30,000 - £36,000 annually Medical Records Technician: £20,000 - £26,000 annually Clinical Documentation Specialist: £28,000 - £34,000 annually Health Data Analyst: £27,000 - £33,000 annually Medical Billing Manager: £29,000 - £35,000 annually Prerequisites This Certificate in Medical Coding- ICD-10-CM at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Medical coding Introduction Medical Coding Introduction 00:15:00 Placeholder 00:01:00 How to Use Medical Coding Books? 00:36:00 Conventions for the ICD-10-CM Conventions Introduction 00:03:00 Conventions Part: 01 00:19:00 Conventions Part: 02 00:17:00 Conventions Part: 03 00:17:00 Conventions Part: 04 00:37:00 General Coding Guidelines Locating a code in the ICD-10-CM 00:02:00 Level of Detail in Coding 00:01:00 Code or codes from A00.0 through T88.9, Z00-Z99.8 00:01:00 Signs and symptoms 00:02:00 Conditions that are not an integral part of a disease process 00:02:00 Conditions that are not an integral part of a disease process 00:02:00 Multiple coding for a single condition Part: 01 00:02:00 Multiple coding for a single condition Part: 02 00:01:00 Acute and Chronic Conditions 00:02:00 Combination Code 00:02:00 Sequela (Late Effects) 00:02:00 Impending or Threatened Condition 00:01:00 Reporting Same Diagnosis Code More than Once 00:01:00 Laterality 00:02:00 Documentation by Clinicians Other than the Patient's Provider 00:02:00 Documentation of Complications of Care Part: 01 00:02:00 Documentation of Complications of Care Part: 02 00:01:00 Borderline Diagnosis 00:01:00 Use of Sign -Symptom- Unspecified Codes 00:02:00 Coding for Healthcare Encounters in Hurricane Aftermath 00:06:00 Chapter Specific Coding Guidelines Introduction Digital Medical Coding Mastery (DMCM) 00:05:00 Chapter 1: Certain Infectious and Parasitic Diseases (A00-B99) HIV Coding Guidelines 00:13:00 Infections resistant to antibiotics 00:02:00 Coding of Sepsis, Severe Sepsis, and Septic Shock 00:13:00 Zika virus infections 00:02:00 Chapter 2: Neoplasms (C00-D49) Introduction of Neoplasm or Cancer 00:02:00 Treatment directed at Malignancy or Cancer 00:02:00 Treatment of Secondary Cancer site 00:02:00 Coding & Sequencing of complications 00:04:00 Primary malignancy previously excised 00:01:00 Encounters involving chemotherapy, immunotherapy and radiation therapy 00:02:00 Encounter to determine extent of malignancy 00:01:00 Signs and Symptoms with Neoplasms 00:02:00 Admission for pain control management 00:01:00 Malignancy in two or more non-contiguous sites 00:02:00 Disseminated Malignant Neoplasm 00:01:00 Malignant Neoplasm without specification of site 00:01:00 Sequencing of Neoplasm Codes 00:06:00 Current Malignancy versus personal history of Malignancy 00:04:00 Leukemia, Multiple Myeloma 00:02:00 Aftercare, Follow-up, Prophylactic organ removal 00:05:00 Chapter 3: Endocrine, Nutritional, and Metabolic Diseases (E00-E89) Introduction Endocrine, Nutritional, and Metabolic Diseases 00:01:00 Diabetes mellitus (DM) 00:01:00 Diabetes mellitus and use of insulin 00:01:00 DM in Pregnancy 00:01:00 Complications due to Insulin Pump Malfunction 00:02:00 Secondary Diabetes Mellitus (DM) 00:06:00 Chapter 4: Mental, Behavioral and Neurodevelopmental disorders (F01 - F99) Pain Disorder related to Psychological Factor 00:02:00 MSBP (Munchausen's Syndrome By Proxy) 00:05:00 Chapter 5: Diseases of the Nervous System (G00-G99) Introduction of Nervous System 00:04:00 Pain Coding Guidelines 00:03:00 Pain due to Device and Post OP Pain 00:03:00 Post OP Pain associated 00:01:00 Chronic Pain, Neoplasm related and Chronic pain Syndrome 00:05:00 Tip for Today 00:03:00 Chapter 6: Diseases of the Eye and Adnexa (H00-H59) Glaucoma Coding Guidelines 00:07:00 Blindness Coding Guidelines 00:07:00 Chapter 7: Diseases of the Circulatory System (I00-I99) Hypertension (HTN) Coding Guidelines 00:06:00 Different types of Hypertension combination codes 00:10:00 Coronary Artery Disease (CAD) Coding Guidelines 00:04:00 Intra and Postoperative CVA 00:03:00 Acute and Sequela Cerebrovascular Accident (CVA) 00:06:00 Myocardial Infarction (MI) 00:09:00 Tip for Today 00:03:00 Chapter 8: Diseases of the Respiratory System (J00-J99) Guidelines for COPD 00:07:00 Guidelines for Respiratory Failure and Influenza 00:07:00 Ventilator Associated Pneumonia (VAP) 00:05:00 Chapter 9: Diseases of the Skin and Subcutaneous Tissue (L00-L99) Pressure Ulcer Coding Guidelines 00:07:00 Non Pressure Ulcer Coding Guidelines 00:06:00 Chapter 10: Diseases of the Musculoskeletal System & Connective Tissue (M00-M99) Musculoskeletal System 00:14:00 Chapter 11: Diseases of Genitourinary System (N00-N99) CKD & Transplant status 00:09:00 Tip for you 00:02:00 Chapter 12: Pregnancy, Childbirth, and the Puerperium (O00-O9A) General Rules to code Pregnancy 00:15:00 Selection of Codes in obstetrics 00:10:00 Pre-existing conditions in Pregnancy 00:07:00 Pregnancy Combination conditions 00:17:00 Postpartum and Peri partum 00:09:00 Termination and Spontaneous Abortion 00:09:00 Chapter 13: Certain Conditions Originating in the Perinatal Period (P00-P96) Newborn General Guidelines 00:10:00 Additional Diagnosis and Newborn codes 00:07:00 Chapter 14: Congenital malformations, deformations, chromosomal abnormal(Q00-Q99) Congenital Malformation Codes 00:07:00 Chapter 15: Symptoms, signs, & abnormal clinical & laboratory findings (R00-R99) Symptoms Guidelines R Series 00:16:00 Chapter 16: Injury, poisoning, certain consequences of external causes (S00-T88) Coding Injury & Fracture 00:26:00 Coding of Burns and Corrosions 00:15:00 Adult, Child Abuse, Neglect 00:07:00 Adverse effect, Poisoning 00:17:00 Complication of Care 00:09:00 Conclusion Conclusion 00:01:00 Assignment Assignment - Certificate in Medical Coding- ICD-10-CM at QLS Level 3 04:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Are you embarking on the journey of mastering data analytics and visualisation in the UK? The 'Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7' is your beacon. Positioned to illuminate the intricate realm of Power BI, this course offers a comprehensive look into the foundational aspects and the advanced features that make Microsoft's tool a standout. With sections meticulously designed ranging from the fundamentals, like data transformation, to advanced concepts, such as integrating Power BI with Python and storytelling with data, this course ensures learners grasp the complete spectrum. With the rising emphasis on data analytics in today's business world, this course acquaints you with Power BI's prowess. It prepares you for the sought-after Microsoft Power BI certification in the UK. Learning Outcomes Comprehend the fundamental aspects of Power BI, from initiating a project to understanding the user interface. Develop proficiency in advanced data transformation techniques and data model creation. Integrate Python with Power BI and harness the benefits of both for enhanced data analytics. Master the art of 'Storytelling with Data' to deliver impactful presentations and reports. Understand and implement Row-Level Security and harness Power BI Cloud services efficiently. Why choose this Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 for? Individuals keen on obtaining the Microsoft power bi certification UK. Analysts and data professionals aspiring to enhance their data visualisation skills. Business professionals wanting to leverage Power BI for insightful business decision-making. Tech enthusiasts aiming to amalgamate programming (Python) with data analytics. Those seeking to stay updated with the latest trends in Power BI and its evolving capabilities. Career path Data Analyst: Average Salary £30,000 - £40,000 Annually Business Intelligence Developer: Average Salary £35,000 - £45,000 Annually Power BI Developer: Average Salary £40,000 - £50,000 Annually Data Visualisation Specialist: Average Salary £32,000 - £42,000 Annually Business Intelligence Manager: Average Salary £45,000 - £55,000 Annually Data Strategy Consultant: Average Salary £50,000 - £60,000 Annually Prerequisites This Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £135 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Section 01: Introduction Welcome! 00:01:00 What is Power BI? 00:03:00 Download & Installing Power BI Desktop 00:04:00 Getting to know the interface 00:03:00 Mini Project: Transform Data 00:07:00 Mini Project: Visualize Data 00:05:00 Mini Project: Creating a Data Model 00:07:00 Course Outline: What will you learn in this course? 00:05:00 How to learn best with this course? 00:03:00 Section 02: Preparing our Project Creating our initial project file 00:04:00 Working with the attached project files 00:04:00 Section 03: Data Transformation - The Query Editor Exploring the Query Editor 00:06:00 Connecting to our data source 00:07:00 Editing rows 00:08:00 Changing data types 00:08:00 Replacing values 00:03:00 Close & Apply 00:03:00 Connecting to a csv file 00:03:00 Connecting to a web page 00:05:00 Extracting characters 00:06:00 Splitting & merging columns 00:09:00 Creating conditional columns 00:06:00 Creating columns from examples 00:09:00 Merging Queries 00:17:00 Pivoting & Unpivoting 00:06:00 Appending Queries 00:08:00 Practice & Solution: Population table 00:15:00 The Fact-Dimension-Model 00:09:00 Practice: Load the dimension table 00:04:00 Organizing our queries in groups 00:03:00 Entering data manually 00:05:00 Creating an index column 00:03:00 Workflow & more transformations 00:05:00 Module summary 00:05:00 Exercise 1 - Instruction 00:02:00 Exercise Solution 00:11:00 Section 04: Data Transformation - Advanced Advanced Editor - Best practices 00:09:00 Performance: References vs. Duplicating 00:10:00 Performance: Enable / Disable Load & Report Refresh 00:05:00 Group by 00:05:00 Mathematical Operations 00:05:00 Run R Script 00:15:00 Using Parameters to dynamically transform data 00:06:00 M formula language: Basics 00:07:00 M formula language: Values, Lists & Tables 00:14:00 M formula language: Functions 00:13:00 M formula language: More functions & steps 00:05:00 Exercise 2 - Instructions 00:01:00 Exercise 2 - solution 00:05:00 Section 05: Creating a Data Model Understanding the relationship 00:05:00 Create & edit relationships 00:06:00 One-to-many & one-to-one relationship 00:06:00 Many-to-many (m:n) relationship 00:08:00 Cross filter direction 00:06:00 Activate & deactivate relationships 00:06:00 Model summary 00:03:00 Exercise 3 Create Model 00:03:00 Exercise 3 Solution 00:02:00 Section 06: Data Visualization Our first visual 00:08:00 The format tab 00:12:00 Understanding tables 00:10:00 Conditional formatting 00:09:00 The Pie Chart 00:06:00 All about the filter visual 00:13:00 The filter pane for developers 00:09:00 Cross filtering & edit interactions 00:04:00 Syncing slicers across pages 00:07:00 Creating drill downs 00:08:00 Creating drill throughs 00:07:00 The tree map visual 00:07:00 The decomposition tree 00:05:00 Understanding the matrix visual 00:05:00 Editing pages 00:07:00 Buttons & Actions 00:09:00 Bookmarks to customize your report 00:10:00 Analytics and Forecasts with line charts 00:10:00 Working with custom visuals 00:07:00 Get data using R Script & R Script visual 00:08:00 Asking questions - Q&A visual 00:04:00 Wrap up - data visualization 00:08:00 Section 07: Power BI & Python Python in Power BI - Plan of attack 00:03:00 Setting up Python for Power BI 00:03:00 Transforming data using Python 00:11:00 Creating visualizations using Python 00:08:00 Violin plots, pair plots & ridge plots using Python 00:15:00 Machine learning (BayesTextAnalyzer) using Python 00:00:00 Performance & Troubleshooting 00:03:00 Section 08: Storytelling with Data Introduction 00:01:00 Show Empathy & Identify the Requirement 00:03:00 Finding the Most Suitable KPI's 00:02:00 Choose an Effective Visualization 00:04:00 Make Use of Natural Reading Pattern 00:03:00 Tell a Story Using Visual Cues 00:05:00 Avoid Chaos & Group Information 00:02:00 Warp Up - Storytelling with Data 00:02:00 Section 09: DAX - The Essentials Introduction 00:03:00 The project data 00:04:00 Measures vs. Calculated Columns 00:15:00 Automatically creating a date table in DAX 00:08:00 CALENDAR 00:05:00 Creating a complete date table with features 00:04:00 Creating key measure table 00:03:00 Aggregation functions 00:06:00 The different versions of COUNT 00:14:00 SUMX - Row based calculations 00:09:00 Section 10: DAX - The CALCULATE function CALCULATE - The basics 00:11:00 Changing the context with FILTER 00:07:00 ALL 00:08:00 ALL SELECTED 00:03:00 ALL EXCEPT 00:07:00 Section 11: Power BI Service - Power BI Cloud How to go on now? 00:03:00 Power BI Pro vs Premium & Signing up 00:04:00 Exploring the interface 00:04:00 Discovering your workspace 00:03:00 Connecting Power BI Desktop & Cloud 00:04:00 Understanding datasets & reports 00:03:00 Working on reports 00:04:00 Updating reports from Power BI Desktop 00:04:00 Creating and working with workspaces 00:07:00 Installing & using a data gateway 00:13:00 Get Quick Insights 00:03:00 Creating dashboards 00:04:00 Sharing our results through Apps 00:10:00 Power BI Mobile App 00:05:00 Creating the layout for the Mobile App 00:04:00 Wrap up Power BI Cloud 00:07:00 Section 12: Row-Level Security Introduction 00:03:00 Creating a Row-Level Security 00:05:00 Row-Level Security in the Cloud 00:04:00 Row-Level Security & Data Model 00:05:00 Dynamic Row-Level Security 00:07:00 Dynamic Many-to-Many RLS 00:04:00 Hierarchical Row-Level Security 00:13:00 Section 13: More data sources JSON & REST API 00:10:00 Setting up a local MySQL database 00:14:00 Connecting to a MySQL database in Power BI 00:05:00 Connecting to a SQL database (PostgreSQL) 00:05:00 Section 14: Next steps to improve & stay up to date Congratulations & next steps 00:06:00 The End 00:01:00 Resources Resources - Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 00:00:00 Assignment Assignment - Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 04:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00