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🌟 Unlock the Power of Person-Centered Care: Enroll Now! 🌟 Are you ready to revolutionize your approach to caregiving? Dive into the transformative world of Person-Centered Care with our comprehensive course! Whether you're a seasoned healthcare professional or an individual seeking to enhance your caregiving skills, this course is your gateway to a more empathetic, effective, and fulfilling practice. Why Person Centered Care? Person-Centered Care isn't just a method; it's a philosophy that places the individual at the heart of care delivery. 🌺 In a world where healthcare can sometimes feel impersonal and fragmented, Person-Centered Care redefines the standard by prioritizing the unique needs, preferences, and values of each person. By fostering authentic connections and building trust, practitioners can create environments where individuals feel heard, respected, and empowered in their own care journey. In this course, you'll explore the principles and practices of Person-Centered Care, gaining valuable insights into communication techniques, holistic assessment strategies, and collaborative decision-making processes. Through real-life case studies and interactive exercises, you'll learn how to tailor care plans to meet the diverse needs of individuals across the lifespan, fostering a culture of dignity, autonomy, and compassion. Benefits of Taking Our Person Centered Care Course ✨ Enhanced Communication Skills: Develop the art of active listening, empathy, and effective communication to build meaningful connections with those in your care. ✨ Individualized Care Plans: Learn how to create personalized care plans that honor each person's unique identity, preferences, and cultural background. ✨ Empowerment and Autonomy: Empower individuals to actively participate in their care decisions, fostering a sense of autonomy, dignity, and self-worth. ✨ Improved Outcomes: By placing individuals at the center of care, you'll contribute to improved health outcomes, increased satisfaction, and enhanced overall well-being. ✨ Professional Growth: Expand your skill set and differentiate yourself as a compassionate and person-centered caregiver in an increasingly competitive healthcare landscape. Who is This For? Our Person-Centered Care course is designed for a diverse range of individuals and professionals, including: 👩‍️ Healthcare Practitioners: Nurses, physicians, therapists, and allied health professionals seeking to deepen their understanding of person-centered approaches to care delivery. 👨‍👩‍👧‍👦 Caregivers: Family caregivers, home health aides, and individuals providing care for loved ones at home or in community settings. 👩‍🏫 Students: Students pursuing careers in healthcare, social work, psychology, or related fields, eager to integrate person-centered principles into their practice from the outset. 👴👵 Long-Term Care Professionals: Professionals working in long-term care facilities, assisted living communities, and hospice settings, committed to enhancing the quality of life for older adults and individuals with complex care needs. Career Path Embarking on the journey of Person-Centered Care opens up a myriad of opportunities for professional growth and advancement: 🌿 Clinical Settings: Apply person-centered principles in hospitals, clinics, and primary care settings to optimize patient outcomes and satisfaction. 🌿 Long-Term Care: Lead culture change initiatives in long-term care facilities, transforming organizational practices to prioritize resident-centered care. 🌿 Community Health: Partner with community organizations and advocacy groups to promote person-centered approaches to health and wellness in diverse populations. 🌿 Education and Training: Share your expertise as an educator or consultant, empowering future generations of caregivers to embrace the transformative power of person-centeredness. Don't miss your chance to join the movement towards a more compassionate and individualized approach to care. Enroll in our Person-Centered Care course today and embark on a journey that will not only transform your practice but also touch the lives of those you serve. Together, let's make Person-Centered Care the standard of care for generations to come! 🌟 Course Curriculum Module 1 The Principles of Person-Centred Care The Principles of Person-Centred Care 00:00 Module 2 Benefits of Person-Centred Care Benefits of Person-Centred Care 00:00 Module 3 Implementing Person-Centred Care Implementing Person-Centred Care 00:00 Module 4 Person-Centred Care Practices Person-Centred Care Practices 00:00 Module 5 Challenges and Solutions in Implementing Person-Centred Care Challenges and Solutions in Implementing Person-Centred Care 00:00 Module 6 Implementing Person-Centred Care in Practice Implementing Person-Centred Care in Practice 00:00 Module 7 Person-Centred Care in Specialized Settings Person-Centred Care in Specialized Settings 00:00 Module 8 Person-Centred Care in Community-based Settings Person-Centred Care in Community-based Settings 00:00 Module 9 Person-Centred Care in Chronic Care Settings Person-Centred Care in Chronic Care Settings 00:00 Module 10 Person-Centred Care in End-of-Life Care Settings Person-Centred Care in End-of-Life Care Settings 00:00

Overview of AutoCAD Programming Using C#.NET Join our AutoCAD Programming Using C#.NET Level 7 course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The AutoCAD Programming Using C#.NET Level 7 course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The AutoCAD Programming Using C#.NET Level 7 course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! Get a Quick Look at The Course Content: This AutoCAD Programming Using C#.NET Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this AutoCAD Programming Using C#.NET Level 7. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the AutoCAD Programming Using C#.NET Level 7 course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This AutoCAD Programming Using C#.NET Level 7 is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the AutoCAD Programming Using C#.NET Level 7 course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this AutoCAD Programming Using C#.NET Level 7 Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Unit 01: Course Outline and Introduction Module 01: Introduction 00:01:00 Module 02: Who is this course for? 00:01:00 Module 03: What Will I Learn from this Course? 00:01:00 Module 04: What is CSharp (C#)? 00:01:00 Module 05: What is AutoCAD .NET API? 00:01:00 Module 06: What are the advantages of programming in AutoCAD .NET API? 00:02:00 Unit 02: .Net Framework and Visual Studio 2017 Community Edition Module 01: Section Overview 00:01:00 Module 02:.NET Framework Architecture Overview 00:03:00 Module 03: .NET Framework Class Library, Common Type System, Common Language Runtime 00:03:00 Module 04: More about.NET Framework Common Language Runtime (CLR) 00:02:00 Module 05: Visual Studio 2017 Integrated Development Environment (IDE) 00:03:00 Module 06: Visual Studio 2017 IDE Demo 00:07:00 Unit 03: C# Fundamentals Module 01: Section Overview 00:03:00 Module 02: DataTypes and Variables - Value Types (signed/unsigned integers) 00:04:00 Module 03: DataTypes and Variables - Signed and Unsigned Integer Demo 00:06:00 Module 04: DataTypes and Variables - Floating Point and Decimal 00:02:00 Module 05: DataTypes and Variables - Floating Point and Decimal Demo 00:04:00 Module 06: DataTypes and Variables - Boolean 00:03:00 Module 07: DataTypes and Variables - Reference Types 00:03:00 Module 08: DataTypes and Variables - Class Type 00:03:00 Module 09: DataTypes and Variables - Class Type - Demo 00:11:00 Module 10: DataTypes and Variables - Interface Type 00:01:00 Module 11: DataTypes and Variables - Array Type 00:02:00 Module 12: DataTypes and Variables - Array Type - Demo (Single Dimension) 00:08:00 Module 13: DataTypes and Variables - Array Type - Demo (Multi Dimension) 00:10:00 Module 14: C# Operators Overview 00:02:00 Module 15: C# Assignment Operators 00:03:00 Module 16: C# Assignment Operators - Demo 00:06:00 Module 17: C# Unary Operators 00:02:00 Module 18: C# Unary Operators - Demo 00:02:00 Module 19: C# Primary Operators 00:03:00 Module 20: C# Primary Operators - Demo 00:07:00 Module 21: C# Equality Operators 00:01:00 Module 22: C# Equality Operators - Demo 00:02:00 Module 23: C# Additive Operators 00:02:00 Module 24: C# Additive Operators - Demo 00:01:00 Module 25: C# Multiplicative Operators 00:01:00 Module 26: C# Multiplicative Operators - Demo 00:01:00 Module 27: C# - Relational and Type Operators 00:04:00 Module 28: C# - Logical, Conditional and Null Operators 00:04:00 Module 29: C# - Logical, Conditional and Null Operators - Demo 00:07:00 Module 30: C# Keywords (Reserved Words) 00:04:00 Module 31: C# - Conditionals Overview 00:01:00 Module 32: C# Conditionals - If-Then-Else Statement 00:03:00 Module 33: C# Conditionals - If-Then-Else Statement - Demo 00:07:00 Module 34: C# Conditionals - Switch Statement 00:03:00 Module 35: C# Conditionals - Switch Statement - Demo 00:04:00 Module 36: C# - Loops Overview 00:04:00 Module 37: C# Loops - For Loop 00:02:00 Module 38: C# Loops - For Loop - Demo 00:02:00 Module 39: C# Loops - Foreach Loop 00:02:00 Module 40: C# Loops - Foreach Loop - Demo 00:05:00 Module 41: C# Loops - While Loop 00:02:00 Module 42: C# Loops - While Loop - Demo 00:02:00 Module 43: C# Loops - Do While Loop 00:02:00 Module 44: C# Loops - Do While Loop - Demo 00:03:00 Module 45: Modifiers Overview 00:04:00 Module 46: Debugging Overview 00:03:00 Module 47: Debugging - Demo 1 00:05:00 Module 48: Debugging - Demo 2 00:12:00 Module 49: Debugging - Demo 3 00:06:00 Module 50: Error and Exception Handling - Overview 00:02:00 Module 51: ExceptionHandling - Demo 1 00:07:00 Module 52: ExceptionHandling - Demo 2 00:07:00 Module 53: ExceptionHandling - Demo 3 00:13:00 Module 54: Introduction to Object Oriented Programming (OOP) 00:04:00 Module 55: OOP - Encapsulation - Demo (Part 1) 00:11:00 Module 56: OOP - Encapsulation - Demo (Part 2) 00:12:00 Module 57: OOP - Inheritance - Demo (Part 1) 00:07:00 Module 58: OOP - Inheritance - Demo (Part 2) 00:05:00 Module 59: OOP - Polymorphism - Demo (Part 1) 00:10:00 Module 60: OOP - Polymorphism - Demo (Part 2) 00:03:00 Unit 04: Exploring AutoCAD .NET API Module 01: AutoCAD .NET API - Overview 00:01:00 Module 02: AutoCAD .NET API Assemblies 00:02:00 Module 03: Using AutoCAD .NET API in C# - Hello AutoCAD Demo Part 1 00:12:00 Module 04: Using AutoCAD .NET API in C# - Hello AutoCAD Demo - Part 2 00:04:00 Module 05: AutoCAD .NET API Object Hierarchy 00:03:00 Module 06: AutoCAD .NET API - Application Object Overview 00:03:00 Module 07: AutoCAD .NET API - Document Object Overview 00:03:00 Module 08: AutoCAD .NET API - Database Object Overview 00:03:00 Unit 05: Creating AutoCAD Objects using AutoCAD .NET API Module 01: Creating AutoCAD Objects using AutoCAD .NET API - Overview 00:01:00 Module 02: Creating a Line Object - Lab (Part 1) 00:14:00 Module 03: Creating a Line Object - Lab (Part 2) 00:03:00 Module 04: Creating a MText Object - Lab 00:10:00 Module 05: Creating a Circle Object - Lab 00:07:00 Module 06: Creating an Arc Object - Lab 00:05:00 Module 07: Creating a LWPolyline Object - Lab 00:05:00 Unit 06: Manipulate AutoCAD Objects Module 01: Manipulate AutoCAD Objects - Overview 00:01:00 Module 02: Copy Object using C# - Theory 00:01:00 Module 03: Copy Object using C# - Lab (Part 1) 00:11:00 Module 04: Copy Object using C# - Lab (Part 2) 00:02:00 Module 05: Copy multiple objects using C# - Lab (Part 1) 00:09:00 Module 06: Copy multiple objects using C# - Lab (Part 2) 00:01:00 Module 07: Erase Object using C# - Lab (Part 1) 00:06:00 Module 08: Erase Object using C# - Lab (Part 2) 00:05:00 Module 09: Move Object using C# - Lab (Part 1) 00:06:00 Module 10: Move Object using C# - Lab (Part 2) 00:02:00 Module 11: Mirror Object using C# - Lab (Part 1) 00:10:00 Module 12: Mirror Object using C# - Lab (Part 2) 00:02:00 Module 13: Rotate Object using C# - Lab (Part 1) 00:07:00 Module 14: Rotate Object using C# - Lab (Part 2) 00:03:00 Module 15: Scale Object using C# - Lab 00:05:00 Module 16: Copy Object Exercise 00:02:00 Module 17: Copy Object Solution 00:06:00 Module 18: Erase Object Exercise 00:02:00 Module 19: Erase Object Solution 00:07:00 Module 20: Move Object Exercise 00:02:00 Module 21: Move Object Solution 00:06:00 Module 22: Mirror Object Exercise 00:02:00 Module 23: Mirror Object Solution 00:06:00 Module 24: Rotate Object Exercise 00:02:00 Module 25: Rotate Object Solution 00:06:00 Module 26: Scale Object Exercise 00:01:00 Module 27: Scale Object Solution 00:05:00 Unit 07: Exploring AutoCAD Dictionaries (Layers, LineTypes, TextStyles) Module 01: Exploring AutoCAD Dictionaries - Layers Overview 00:03:00 Module 02: Listing all the Layers in the drawing using C# 00:11:00 Module 03: Creating a Layer in AutoCAD using C# 00:09:00 Module 04: Updating a Layer in AutoCAD using C# 00:09:00 Module 05: Turning the Layer On/Off in AutoCAD using C# 00:05:00 Module 06: Thawing/Freezing Layer in AutoCAD using C# 00:04:00 Module 07: Deleting a Layer in AutoCAD using C# 00:03:00 Module 08: Locking/UnLocking a Layer in AutoCAD using C# 00:05:00 Module 09: Assigning a Layer to an AutoCAD object using C# 00:03:00 Module 10: Exploring AutoCAD Dictionaries - LineTypes Overview 00:01:00 Module 11: Listing all the LineTypes in the drawing using C# 00:07:00 Module 12: Loading a LineType in the drawing using C# 00:07:00 Module 13: Setting the Current LineType in AutoCAD using C# 00:03:00 Module 14: Deleting a LineType in AutoCAD using C# 00:03:00 Module 15: Setting a LineType to an object using C# 00:04:00 Module 16: Exploring AutoCAD Dictionaries - TextStyles Overview 00:01:00 Module 17: Listing all the TextStyles in the drawing using C# 00:08:00 Module 18: Updating current TextStyle Font in AutoCAD using C# 00:10:00 Module 19: Setting the Current TextStyle in AutoCAD using C# 00:08:00 Module 20: Setting a TextStyle to an object using C# 00:04:00 Unit 08: User Input Functions Module 01: User Input Functions Overview 00:01:00 Module 02: Using GetString Method - Lab (Part 1) 00:13:00 Module 03: Using GetString Method - Lab (Part 2) 00:10:00 Module 04: Using GetPoint Method - Lab 00:12:00 Module 05: Using GetDistance Method - Lab 00:04:00 Module 06: Using GetKeyWords Method - Lab (Part 1) 00:12:00 Module 07: Using GetKeyWords Method - Lab (Part 2) 00:02:00 Unit 09: Selection Sets and Filters Module 01: Selection Sets and Filters - Overview 00:02:00 Module 02: Using SelectAll Method - Lab (Part 1) 00:11:00 Module 03: Using SelectAll Method - Lab (Part 2) 00:02:00 Module 04: Using SelectOnScreen Method - Lab (Part 1) 00:06:00 Module 05: Using SelectOnScreen Method - Lab (Part 2) 00:01:00 Module 06: Using SelectWindow Method - Lab 00:08:00 Module 07: Using SelectCrossingWindow Method - Lab 00:08:00 Module 08: Using SelectFence Method - Lab 00:08:00 Module 09: Using PickFirstSelection Method - Lab 00:11:00 Module 10: Using SelectionSet Filters - Overview 00:01:00 Module 11: Using SelectionSet Filters - Selecting Lines 00:09:00 Module 12: Using SelectionSet Filters - Selecting MTexts Lab 00:07:00 Module 13: Using SelectionSet Filters - Selecting Polylines Lab 00:03:00 Module 14: Using SelectionSet Filters - Selecting Blocks (FrenchDoors) Lab 00:07:00 Module 15: Using SelectionSet Filters - Selecting Blocks (BiFoldDoors) Lab 00:04:00 Module 16: Using SelectionSet Filters - Selecting objects in a Layer (Walls) Lab 00:07:00 Module 17: Using SelectionSet Filters - Selecting all objects in a Layer (Stairs) Lab 00:05:00 Module 18: Using SelectionSets and Filters - Exercises 00:02:00 Unit 10: Developing Title Block Project - Hands On! Module 01: TitleBlock Project - Overview 00:05:00 Module 02: Creating Project and TBlock Class - Lab 00:14:00 Module 03: Creating Classes for each Paper Sizes - Lab 00:07:00 Module 04: Creating TitleBlock Class - Lab 00:14:00 Module 05: Handling User Selected Paper Size - Lab 00:05:00 Module 06: Creating the TitleBlock Border Lines - Lab 00:06:00 Module 07: Creating the Horizontal Partition Lines - Lab (Part 1) 00:11:00 Module 08: Creating the Horizontal Partition Lines - Lab (Part 2) 00:05:00 Module 09: Creating Vertical Partition Lines - Lab 00:11:00 Module 10: Project Check on the Partition Lines - Lab 00:07:00 Module 11: Creating the TitleBlock Labels - Lab (Part 1) 00:10:00 Module 12: Creating the TitleBlock Labels - Lab (Part 2) 00:09:00 Module 13: Creating the TitleBlock Labels - Lab (Part 3) 00:11:00 Module 14: Project Check on the Labels 00:07:00 Module 15: Creating Drawing Information Texts 00:08:00 Module 16: Debugging the TitleBlock Project - Lab 00:10:00 Module 17: Completing and Running the TitleBlock Plugin 00:05:00 Module 18: Audit Drawing Project - Overview 00:02:00 Module 19: Audit Drawing Project - Demo 00:07:00 Module 20: Creating the AuditDrawing Project 00:11:00 Module 21: Creating the AuditDrawing DisplayOnScreen Method 00:14:00 Module 22: Creating the AuditDrawing Write to TXT File Method 00:08:00 Module 23: Creating the AuditDrawing Write to CSV File Method 00:06:00 Module 24: Creating the AuditDrawing Write to HTML File Method 00:14:00 Module 25: AuditDrawing Plugin Demo 00:04:00 Module 26: Creating the AuditBlock Method 00:05:00 Module 27: Creating the AuditBlock GatherBlocksAndCount Method 00:16:00 Module 28: Creating the AuditBlock DisplayOnScreen Method 00:06:00 Module 29: Creating the AuditBlock WriteToTXTFile Method 00:05:00 Module 30: Creating the AuditBlock WriteToCSVFile Method 00:05:00 Module 31: Creating the AuditBlock WriteToHTMLFile Method 00:07:00 Module 32: AuditBlock Completed Component - Demo 00:12:00 Unit 11: Conclusion Module 01: Conclusion 00:01:00

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Microsoft Power BI Masterclass 2021 Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Microsoft Power BI Masterclass 2021 Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Microsoft Power BI Masterclass 2021 Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Microsoft Power BI Masterclass 2021 Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Microsoft Power BI Masterclass 2021? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Microsoft Power BI Masterclass 2021 there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Microsoft Power BI Masterclass 2021 course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill.   Prerequisites This Microsoft Power BI Masterclass 2021 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Microsoft Power BI Masterclass 2021 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Microsoft Power BI Masterclass 2021 is a great way for you to gain multiple skills from the comfort of your home. 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 00:02:00 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 - Microsoft Power BI Masterclass 2021 00:00:00 Assignment Assignment - Microsoft Power BI 00:00:00

Discover the key role of a Property Coordinator in ensuring seamless real estate operations. Explore responsibilities such as property maintenance, tenant communication, and logistical coordination. Learn how a skilled Property Coordinator enhances property value and tenant satisfaction, making them an indispensable asset in the dynamic world of real estate management

Overview Ever experienced being stranded & helpless on the road after your car broke down with no hope of any immediate help? And even when the mechanic arrived it was way too EXPENSIVE! If yes, then this is the perfect place for you. Take matters into your own hands by learning to fix your car and save your pocket from getting empty. Also, if you are aiming to become a car mechanic/already working as one, this comprehensive bundle will assist you to become an expert and help you fix any problems whether it's a car or a bike. Key Features of the Car Mechanic Course: FREE Car Mechanic CPD-accredited certificate Get a free student ID card with Car Mechanic training (£10 applicable for international delivery) Lifetime access to the Car Mechanic course materials The Car Mechanic program comes with 24/7 tutor support Get instant access to this Car Mechanic course Learn Car Mechanic training from anywhere in the world The Car Mechanic training is affordable and simple to understand The Car Mechanic training is entirely online How will I get my Car Mechanic certificate? You may have to take a quiz or a test online during or after the Car Mechanic course. After successfully completing the Car Mechanic course, you will be eligible for the certificate. Who is this Car Mechanic course for? There is no experience or previous qualifications required for enrolment on this Car Mechanic and Repair Training. It is available to all students, of all academic backgrounds. Requirements Our Car Mechanic and Repair Training 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 Wi-Fi, 3G or 4G. There is no time limit for completing this Car Mechanic course, it can be studied in your own time at your own pace. Our Car Mechanic and Repair Training is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This Car Mechanic course has been designed to be fully compatible on tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this Car Mechanic course, it can be studied in your own time at your own pace. Career path The Car Mechanic and Repair Training course would be beneficial for any profession or career from any industry you are in such as: Mechanic Car Mechanic LGV Mechanic Car Enthusiast Automotive Mechanic Engineers Car Designers Course Curriculum 12 sections • 12 lectures • 04:45:00 total length •Module 01: Introduction to Safety and Maintenance •Module 02: General Maintenance •Module 03: Dashboard Indicator Lights •Module 04: Tyres •Module 05: The Internal Combustion Engine •Module 06: The Cooling System •Module 07: The Fuel System •Module 08: The Electrical System •Module 09: The Drive Train •Module 10: Brakes •Module 11: Buying a Car •Assignment - Car Mechanic and Repair Training

Dive into the enthralling world of numbers and equations with 'High School Math (Pure Mathematics 1),' a course designed to unravel the mysteries of mathematics. Your journey begins with an Introduction that lays the foundation, not just in terms of concepts but igniting a passion for the beauty of math. As you progress, Functions become more than just equations; they turn into a language that describes the universe. Imagine the elegance of Quadratic Equations unfolding before your eyes, revealing patterns and solutions that were once hidden. Embark on an adventure through Co-ordinate Geometry, where every point and line tells a story of space and dimensions. Sequence and Series will no longer be just about numbers; they will be about the rhythm and flow of mathematical logic. The course takes a deeper dive with the Binomial Theorem, Differentiation, Tangents and Normals, each module building on the last, turning complexity into simplicity. Stationary Points & Curve Sketching, and the Second Derivative Test open new vistas in understanding the nature of graphs. As you master Simultaneous Linear Equations, you're not just solving problems; you're unlocking a new perspective on mathematical relationships. The Essential Revision at the end is your bridge to excellence, consolidating your knowledge and skills. Learning Outcomes Develop a foundational understanding of key mathematical concepts and functions. Master the intricacies of quadratic equations and co-ordinate geometry. Explore and apply the principles of sequences, series, and the binomial theorem. Gain proficiency in differentiation and its practical applications in tangents and normals. Understand and implement techniques in curve sketching, stationary points, and optimisation. Why choose this High School Math (Pure Mathematics 1) 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 High School Math (Pure Mathematics 1) course for? High school students seeking to excel in mathematics. Individuals preparing for college-level math courses. Math enthusiasts looking to deepen their understanding of pure mathematics. Students requiring a comprehensive revision of key mathematical concepts. Anyone aspiring to pursue a career involving advanced mathematics. Career path Mathematician: £30,000 - £60,000 Data Analyst: £25,000 - £50,000 Actuarial Analyst: £28,000 - £55,000 Research Scientist (Mathematics): £32,000 - £60,000 Engineering Consultant: £27,000 - £55,000 Academic Tutor (Mathematics): £24,000 - £40,000 Prerequisites This High School Math (Pure Mathematics 1) does not require you to have any prior qualifications or experience. You can just enrol and start learning.This High School Math (Pure Mathematics 1) was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Introduction Introduction 00:03:00 Functions What is Function? 00:07:00 Vertical Line Test 00:04:00 Value of a Function Graphically 00:08:00 Domain Range of a function Algebraically 00:13:00 Domain Range of a function Graphically 00:06:00 Even & Odd Functions 00:07:00 One to one Function 00:05:00 Composite Functions 00:09:00 How to draw Rational Functions- 1 00:04:00 How to draw Rational Functions- 2 00:10:00 Inverse of a function Algebraically 00:05:00 Inverse of a function Graphically 00:09:00 Practice Problems 00:15:00 Practice Problems 00:11:00 Resources Downloads 00:40:00 Quadratic Equations Introduction to Quadratic Equations 00:04:00 Solving Quadratic Equations by Factorization method 00:10:00 Writing in completed square form 00:08:00 Solving by completed square method 00:08:00 Sketching of Quadratic Graphs 00:11:00 Quadratic graphs using Transformations 00:06:00 Quadratic inequalities 00:11:00 Deriving Quadratic formula 00:05:00 Solving problems using Quadratic Formula 00:06:00 Equations reducible to Quadratic 00:07:00 Nature of Roots of Quadratic Equations 00:04:00 Nature of roots continues 00:12:00 Quadratic Equations (Resources) 00:50:00 Co-ordinate Geometry Distance formula 00:15:00 Mid point formula 00:05:00 Gradient of a line 00:10:00 Graphing using gradient and y intercept 00:02:00 Some standard lines 00:04:00 Slope intercept form y = m x +c 00:05:00 Point slope form and two point form 00:10:00 Intersection of line and parabola 00:09:00 Practice Problems from past papers (part 3) 00:12:00 Sequence and series Sequence and series ( video) 00:08:00 Arithmetic Sequence 00:10:00 General term of an A.P. 00:07:00 Finding given term is which term? 00:05:00 Writing sequence when two terms are known 00:08:00 Condition for three terms to be in A.P. 00:05:00 Sum to n terms of A.P. 00:06:00 Practice Problems 1 (A.P.) 00:08:00 Practice problems 3 (A.P.) 00:07:00 Practice problems 4 (A.P.) 00:10:00 Geometric Progressions 00:11:00 Sum to n terms in G.P. 00:14:00 Sum to infinite Terms in G.P. 00:13:00 Practice Problems 1 (GP) 00:13:00 Practice Problems 2 (GP) 00:06:00 Practice Problems based on AP and GP both 00:15:00 Sequence and series Text 1 00:40:00 Sequence and series Text 2 00:55:00 Binomial Theorem What is Factorial? 00:06:00 n-choose -r problems 00:06:00 Properties of n - choose -r 00:05:00 Expanding using Binomial Theorem 00:11:00 Finding the indicated term in the Binomial expansion 00:10:00 Finding the indicated term from end 00:09:00 Finding the coefficient for given exponent (index) of the variable 00:08:00 Finding the term independent of variable 00:05:00 Expanding in increasing and decreasing powers of x 00:09:00 Practice problems 1 00:12:00 Practice Problems 2 00:09:00 Practice problems 3 00:10:00 Past papers problems 1 00:15:00 Past Paper problems 2 00:13:00 Past Paper problems 3 00:09:00 Resources in this section 00:50:00 Differentiation What is Derivative? 00:07:00 Derivation of formula for Derivative 00:06:00 Differentiation by definition or First Principle 00:06:00 Power Rule 00:20:00 Practice Problems on Power Rule 1 00:07:00 Practice Problems on Power Rule 2 00:07:00 Practice Problems on Power Rule 3 00:05:00 Practice Problems on Power Rule 4 00:11:00 Practice Problems on Power Rule 5 00:07:00 Tangents and Normals Tangents and Normals- Basics 00:12:00 Practice- Tangents and Normals Part 1 00:16:00 Practice- Tangents and Normals Part 2 00:13:00 Practice- Tangents and Normals Part 3 00:11:00 Practice- Tangents and Normals Part 4 00:14:00 Stationary Points & Curve Sketching Stationary Points - Basics 00:13:00 Practice- Increasing Decreasing & Maxima Minima part 1 00:11:00 Practice- Increasing Decreasing & Maxima Minima part 2 00:12:00 Practice- Increasing Decreasing & Maxima Minima part 3 00:10:00 Second Derivative Test (Maximum & Minimum Points) Concavity-Basics 00:02:00 Concavity & Second Derivative 00:08:00 Second Derivative Test 00:09:00 Practice Problems on second derivative 00:04:00 Practice Problem of Maxima Minima using second derivative test Part 1 00:17:00 Practice Problem of Maxima Minima using second derivative test Part 2 00:10:00 Practice Problem of Maxima Minima using second derivative test Part 3 00:07:00 Practice Problem of Maxima Minima using second derivative test Part 4 00:07:00 Applications of Maxima and Minima Part 1 00:09:00 Applications of Maxima and Minima Part 2 00:07:00 Applications of Maxima and Minima Part 3 00:10:00 Applications of Maxima and Minima Part 4 00:09:00 Applications of Maxima and Minima Part 5 00:10:00 Applications of Maxima and Minima Part 6 00:08:00 Past Paper Problems on applications of maxima and minima Part 1 00:09:00 Past Paper Problems on applications of maxima and minima Part 2 00:09:00 Past Paper Problems on applications of maxima and minima Part 3 00:08:00 Past Paper Problems on applications of maxima and minima Part 4 00:07:00 Chain Rule 00:12:00 Rate of change part 1 00:05:00 Rate of change part 2 00:10:00 Rate of change part 3 00:07:00 Past Paper Problems using chain rule -1 00:06:00 Past Paper Problems using chain rule - 2 00:07:00 Past Paper Problems using chain rule 3 00:07:00 Past Paper Problems using chain rule -4 00:04:00 Simultaneous Linear equations Graphical Method of solving pair of linear equations 00:10:00 Video lecture on Graphical method 00:05:00 Method of elimination by substitution 00:10:00 Video lecture on substitution method 00:06:00 Method of elimination by equating the coefficients 00:10:00 Video lecture on equating coefficients method 00:09:00 Practice Problems on Linear equation 00:20:00 Essential Revision How to take up this course? 00:10:00 Background of Algebra 00:10:00 Language of Alg ebra 00:10:00 Finding Values of algebraic expressions 00:14:00 Fractional Indices 00:10:00 Higher Indices 00:07:00 Rules of Brackets 00:04:00 Simplification by removing brackets (BODMAS) 00:11:00 Simplifications of Algebraic Fractions 00:07:00 Solving complex Linear Equations in one variable 00:10:00 Factorization by taking out common factor 00:10:00 Factorization by grouping the terms 00:09:00 Factorize using identity a ² - b ² 00:07:00 Factorization by middle term split 00:12:00

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

The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Complete Python Machine Learning & Data Science Fundamentals there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Complete Python Machine Learning & Data Science Fundamentals course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:08:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:07:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Python Machine Learning & Data Science Fundamentals 00:00:00

Embark on a transformative journey through the intricate landscape of networking with the CompTIA Network+ Certification (N10-007). This course isn't just about mastering the intricacies of network models or delving into the depths of cabling and topology; it's about empowering yourself with the skills and knowledge to navigate the digital highways of the modern era confidently. Picture yourself as the architect, laying down the foundations of robust networks, securing them against digital threats, and troubleshooting with finesse. With CompTIA Network+ +, you're not just learning; you're shaping your future in information technology. In this comprehensive course, you'll traverse through 22 meticulously crafted sections, each unlocking a new facet of comptia networking. From understanding the fundamentals of TCP/IP to exploring the nuances of wireless networking and delving into virtualization and cloud computing, every lesson is a stepping stone towards network mastery. Through immersive learning experiences and hands-on comptia network+ practice tests, you'll absorb theoretical knowledge and hone your practical skills, preparing you for real-world challenges. Learning Outcomes: Master network models and topologies, laying a strong foundation for network architecture. Demonstrate proficiency in TCP/IP fundamentals and routing protocols for effective data transmission. Develop expertise in securing networks against cyber threats, ensuring data integrity and confidentiality. Acquire skills in network troubleshooting and monitoring, enabling swift resolution of issues. Apply wireless networking and cloud computing knowledge to design and implement scalable network solutions. Why buy this CompTIA Network+ Certification (N10-007)? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the CompTIA Network+ Certification (N10-007) there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this CompTIA Network+ Certification (N10-007) for? Aspiring IT professionals seeking to kickstart their careers in networking. Students aiming to enhance their employability with industry-recognized certifications. Career changers looking to transition into the dynamic field of information technology. IT professionals seeking to validate their skills and advance their careers. Anyone passionate about mastering the intricacies of comptia network and carving a niche in the digital landscape. Prerequisites This CompTIA Network+ Certification (N10-007) does not require you to have any prior qualifications or experience. You can just enrol and start learning.This CompTIA Network+ Certification (N10-007) 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 Network Administrator: £20,000 - £45,000 Per Annum Network Engineer: £25,000 - £55,000 Per Annum Systems Administrator: £22,000 - £50,000 Per Annum IT Support Technician: £18,000 - £35,000 Per Annum Cyber Security Analyst: £25,000 - £60,000 Per Annum Cloud Solutions Architect: £30,000 - £80,000 Per Annum Course Curriculum Section 01: Introduction Introduction 00:03:00 Section 02: Network Models What is a Model? 00:02:00 OSI vs. TCP/IP Model 00:07:00 Walking Through OSI and TCP/IP 00:12:00 Meet the Frame 00:06:00 The MAC Address 00:07:00 Broadcast vs. Unicast 00:04:00 Introduction to IP Addressing 00:08:00 Packets and Ports 00:05:00 Section 03: Cabling and Topology Network Topologies 00:10:00 Coaxial Cabling 00:05:00 Twisted Pair Cabling 00:06:00 Cat Ratings 00:06:00 Fiber Optic Cabling 00:09:00 Fire Ratings 00:05:00 Legacy Network Connections 00:07:00 Section 04: Ethernet Basics What is Ethernet? 00:07:00 Ethernet Frames 00:07:00 Early Ethernet 00:08:00 The Daddy of Ethernet, 10BaseT 00:03:00 Terminating Twisted Pair 00:14:00 Hubs vs. Switches 00:13:00 Section 05: Modern Ethernet 100BaseT 00:05:00 Connecting Switches 00:05:00 Gigabit Ethernet and 10-Gigabit Ethernet 00:05:00 Transceivers 00:07:00 Connecting Ethernet Scenarios 00:14:00 Section 06: Installing a Physical Network Introduction to Structured Cabling 00:04:00 Terminating Structured Cabling 00:08:00 Equipment Room 00:07:00 Alternative Distribution Panels 00:04:00 Testing Cable 00:09:00 Troubleshooting Structured Cabling, Part 1 00:05:00 Troubleshooting Structured Cabling, Part 2 00:05:00 Using a Toner and Probe 00:03:00 Wired Connection Scenarios 00:11:00 Section 07: TCP/IP Basics Introduction to IP Addressing and Binary 00:13:00 Introduction to ARP 00:04:00 Classful Addressing 00:10:00 Subnet Masks 00:12:00 Subnetting with CIDR 00:10:00 More CIDR Subnetting Practice 00:10:00 Dynamic and Static IP Addressing 00:18:00 Rogue DHCP Servers 00:07:00 Special IP Addresses 00:07:00 IP Addressing Scenarios 00:15:00 Section 08: Routing Introducing Routers 00:15:00 Understanding Ports 00:05:00 Network Address Translation 00:06:00 Implementing NAT 00:03:00 Forwarding Ports 00:18:00 Tour of a SOHO Router 00:12:00 SOHO vs. Enterprise 00:09:00 Static Routes 00:13:00 Dynamic Routing 00:11:00 RIP 00:04:00 OSPF 00:04:00 BGP 00:06:00 Section 09: TCP/IP Applications TCP and UDP 00:07:00 ICMP and IGMP 00:06:00 Handy Tools 00:07:00 Introduction to Wireshark 00:11:00 Introduction to netstat 00:09:00 Web Servers 00:12:00 FTP 00:12:00 E-mail Servers and Clients 00:09:00 Securing E-mail 00:06:00 Telnet and SSH 00:09:00 Network Time Protocol 00:02:00 Network Service Scenarios 00:10:00 Section 10: Network Naming Understanding DNS 00:12:00 Applying DNS 00:19:00 The Hosts File 00:04:00 Net Command 00:08:00 Windows Name Resolution 00:11:00 Dynamic DNS 00:05:00 DNS Troubleshooting 00:13:00 Section 11: Securing TCP/IP Making TCP/IP Secure 00:04:00 Symmetric Encryption 00:06:00 Asymmetric Encryption 00:03:00 Cryptographic Hashes 00:05:00 Identification 00:12:00 Access Control 00:04:00 AAA 00:05:00 Kerberos/EAP 00:08:00 Single Sign-On 00:10:00 Certificates and Trust 00:14:00 Certificate Error Scenarios 00:08:00 Section 12: Advanced Networking Devices Understanding IP Tunneling 00:06:00 Virtual Private Networks 00:13:00 Introduction to VLANs 00:12:00 InterVLAN Routing 00:03:00 Interfacing with Managed Switches 00:11:00 Switch Port Protection 00:07:00 Port Bonding 00:07:00 Port Mirroring 00:04:00 Quality of Service 00:05:00 IDS vs. IPS 00:04:00 Proxy Servers 00:13:00 Load Balancing 00:09:00 Device Placement Scenarios 00:13:00 Section 13: IPv6 Introduction to IPv6 00:13:00 IPv6 Addressing 00:15:00 IPv6 in Action 00:13:00 IPv4 and IPv6 Tunneling 00:05:00 Section 14: Remote Connectivity Telephony Technologies 00:09:00 Optical Carriers 00:03:00 Packet Switching 00:05:00 Connecting with Dial-up 00:05:00 Digital Subscriber Line (DSL) 00:05:00 Connecting with Cable Modems 00:04:00 Connecting with Satellites 00:03:00 ISDN and BPL 00:04:00 Remote Desktop Connectivity 00:05:00 Advanced Remote Control Systems 00:09:00 Section 15: Wireless Networking Introduction to 802.11 00:12:00 802.11 Standards 00:12:00 Power over Ethernet (PoE) 00:04:00 Antennas 00:09:00 Wireless Security Standards 00:16:00 Implementing Wireless Security 00:07:00 Threats to Your Wireless Network 00:07:00 Retro Threats 00:05:00 Wi-Fi Protected Setup (WPS) 00:05:00 Enterprise Wireless 00:06:00 Installing a Wireless Network 00:15:00 Wireless Scenarios 00:07:00 More Wireless Scenarios 00:09:00 Section 16: Virtualization and Cloud Computing Virtualization Basics 00:07:00 Cloud Ownership 00:03:00 Cloud Implementation 00:12:00 Your First Virtual Machine 00:09:00 NAS and SAN 00:16:00 Platform as a Service (PaaS) 00:09:00 Software as a Service (SaaS) 00:03:00 Infrastructure as a Service (IaaS) 00:10:00 Section 17: Mobile Networking Cellular Technologies 00:05:00 Mobile Connectivity 00:07:00 Deploying Mobile Devices 00:05:00 Mobile Access Control 00:06:00 Section 18: Building a Real-World Network Network Types 00:04:00 Network Design 00:10:00 Power Management 00:06:00 Unified Communications 00:11:00 Network Documentation 00:07:00 Contingency Planning 00:10:00 Predicting Hardware Failure 00:05:00 Backups 00:08:00 Section 19: Managing Risk What is Risk Management? 00:06:00 Security Policies 00:08:00 Change Management 00:07:00 User Training 00:03:00 Standard Business Documentation 00:05:00 Mitigating Network Threats 00:05:00 High Availability 00:05:00 Section 20: Protecting Your Network Denial of Service 00:09:00 Malware 00:10:00 Social Engineering 00:04:00 Access Control 00:08:00 Man-in-the-Middle 00:22:00 Introduction to Firewalls 00:05:00 Firewalls 00:10:00 DMZ 00:06:00 Hardening Devices 00:14:00 Physical Security Controls 00:09:00 Testing Network Security 00:08:00 Network Protection Scenarios 00:14:00 Section 21: Network Monitoring SNMP 00:15:00 Documenting Logs 00:09:00 System Monitoring 00:08:00 SIEM (Security Information and Event Management) 00:07:00 Section 22: Network Troubleshooting Network Troubleshooting Theory 00:05:00

Overview: Become a vital part of the UK Healthcare system and ensure that your community can expect support and excellent customer service. This comprehensive Pharmacy Assistant course provides the full training needed to excel as a Pharmacy Assistant and provide support and stability for the team. The Pharmacy Assistant course delivers the ideal amounts of knowledge and skills needed for this essential role, with the ability to counsel, advise and dispense medicinal expertise. You can be expected to be taught essential Medical practises and prescription techniques, alongside tuition in common Pharmaceutical terminology, and the responsibilities for stock control and patient confidentiality. Kickstart a career as a Pharmacy Assistant in Healthcare by enrolling now. ** Completing this course does not imply that you are qualified to work as a Pharmacy Technician or Pharmacist. If you are seeking a course that fits The General Pharmaceutical Council's standards, please contact The General Pharmaceutical Council. ** Key Features of the Pharmacy Assistant Course: FREE Pharmacy Assistant CPD-accredited certificate Get a free student ID card with Pharmacy Assistant training (£10 applicable for international delivery) Lifetime access to the Pharmacy Assistant course materials The Pharmacy Assistant program comes with 24/7 tutor support Get instant access to this Pharmacy Assistant course Learn Pharmacy Assistant training from anywhere in the world The Pharmacy Assistant training is affordable and simple to understand The Pharmacy Assistant training is entirely online How will I get my Pharmacy Assistant certificate? You may have to take a quiz or a written test online during or after the Pharmacy Assistant course. After successfully completing the Pharmacy Assistant course, you will be eligible for the certificate. Who is this Pharmacy Assistant course for? There is no experience or previous qualifications required for enrolment in this Pharmacy Assistant. It is available to all students, of all academic backgrounds. Requirements Our Pharmacy Assistant is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This Pharmacy Assistant 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 Pharmacy Assistant course, it can be studied in your own time at your own pace. Career path Having this Pharmacy Assistant qualification will increase the value of your CV and open you up to multiple sectors. Course Curriculum 2 sections • 11 lectures • 02:56:00 total length •Module 1: Introduction to Pharmacy Assistant and Pharmacy Technician: 00:14:00 •Module 2: Job Role of Pharmacy Technicians: 00:24:00 •Module 3: Pharmacy Assistant Patient Counselling Guide: 00:19:00 •Module 4: Communication in Pharmacy Settings: 00:15:00 •Module 5: The Pharmacy Team and Practices: 00:16:00 •Module 6: Prescription and Dispensing in Pharmacies: 00:19:00 •Module 7: Dispensing Methods, EPS, Minimising Dispensing Errors in Pharmacies: 00:18:00 •Module 8: Inventory Control and Management in Pharmacies: 00:19:00 •Module 9: Standard Operating Procedures (SOPs): 00:12:00 •Module 10: Health and Safety Risks Assessment and Pharmaceutical Terminology: 00:20:00 •Assignment - Pharmacy Assistant: 00:00:00