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A Complete Guide for Effective LinkedIn Ads' is a comprehensive course that covers the fundamentals of setting up and managing successful LinkedIn Ads campaigns. Participants will learn to drive website traffic, utilize sponsored messages, generate leads, and effectively manage billing centers on the platform. Learning Outcomes: Understand the basics of LinkedIn Ads and their role in digital marketing. Learn how to set up LinkedIn Ads to drive targeted website traffic. Discover techniques for leveraging sponsored messages to engage with the audience. Acquire the skills to create and optimize LinkedIn Ads for lead generation. Gain proficiency in managing the billing center for efficient campaign budgeting and monitoring. Why buy this Excel VBA/Macros Foundations? 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 Excel VBA/Macros Foundations 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 Excel VBA/Macros Foundations 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 Excel VBA/Macros Foundations does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Excel VBA/Macros Foundations 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 Excel VBA/Macros Foundations is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Introduction Recording Macros vs Writing VBA 00:04:00 Understanding Objects in Excel VBA 00:07:00 Understanding VBA Syntax and Parts of Speech 00:10:00 Activating the Developer tab 00:01:00 Recording a basic Macro 00:05:00 Absolute vs Relative Macro recording 00:04:00 Section 02: Exploring the Visual Basic Environment Introduction to the Visual Basic Environment 00:02:00 The Project Explorer 00:02:00 The Properties Window 00:02:00 The Code Window 00:04:00 Immediate, Locals and Watch Window 00:03:00 Dealing with Modules 00:03:00 Comments in Excel VBA 00:01:00 Section 03: The Range Object Introduction and Changing Cell Values 00:10:00 Adding a text to a cell 00:01:00 Dealing with Named Ranges 00:03:00 Value vs Text Property 00:04:00 Row and Column properties 00:02:00 The Select Method 00:02:00 The Count Property 00:04:00 The Address Property 00:09:00 The Formula Property 00:03:00 The Number Format Property 00:07:00 The Font Property 00:08:00 Section 04: Understanding the Cells Collection Object What is the cells object? 00:06:00 Using the Cells collection to affect cells positionally within a range 00:05:00 Affecting all cells within a sheet 00:02:00 Combining Range and cells objects 00:03:00 Section 05: Working with Sheets/Worksheets Selecting Sheets 00:06:00 Adding Sheets 00:11:00 Sheets vs Worksheets 00:04:00 Copying Sheets 00:05:00 Moving Sheets 00:01:00 Deleting Sheets 00:04:00 Section 06: Understanding Variables in Excel VBA Introduction to Variables 00:06:00 Variable Data Types 00:09:00 Declaring Variables 00:14:00 Object Variables 00:08:00 Calling a procedure from Another Procedure & Variable Scope 00:03:00 Public and Private Variables 00:07:00 Declaring Constants 00:04:00 Exercises-Variables 00:06:00 Section 07: Dealing with Workbooks Referring to Workbooks-Different ways 00:04:00 Closing Workbooks 00:03:00 Adding and Saving Workbooks Part 1 - Save method 00:04:00 Adding and Saving Workbooks Part 2 - Save as method 00:10:00 Opening Workbooks 00:06:00 Section 08: Must Know Excel VBA Logic Finding the Last row 00:09:00 Finding the Last Column 00:04:00 Finding the next row 00:04:00 The WITH Statement 00:04:00 Comparison operators in Excel VBA 00:01:00 IF Statements- Simple IF Statements 00:07:00 IF THEN ELSE Structure 00:03:00 IF THEN ELSEIF Structure 00:07:00 Nested IFs 00:04:00 OR - AND logical operators 00:07:00 NOT Logical operator 00:03:00 CASE Statements Part 1 - Single Case Statements 00:09:00 CASE Statements Part 2 - Nested Case Statements 00:06:00 Case Statements-Exercise 00:01:00 GOTO and Labels 00:03:00 Section 09: Looping in Excel VBA Loops-Introduction 00:01:00 FOR NEXT Loop 00:11:00 Exit For 00:09:00 Exercise - For Next loop 00:01:00 FOR EACH Loop - Intro 00:07:00 FOR EACH Loops - More examples 00:05:00 Do Loop - Introduction 00:04:00 Do Loop Example 00:01:00 Do Until 00:02:00 Do While 00:02:00 Do while vs Do until - Movies Example 00:04:00 Exit Do Statement 00:05:00 Exercise - Do Loop 00:01:00 Section 10: Interacting with Your Users The Messagebox - Introduction 00:03:00 Messagebox -Inputs 00:07:00 Messagebox - Capturing the User's input 00:05:00 Adding a new line to your VBA Strings 00:02:00 The Inputbox - introduction 00:04:00 Inputbox - Example1 - Capturing a user's name 00:05:00 Inputbox -Employee Database Example Part 1 00:05:00 Inputbox -Employee Database Example Part 2 00:04:00 Exercise - InputBox 00:02:00 Section 11: Error Handling in Excel VBA Error Handling - Introduction 00:09:00 Different Error types in action 00:04:00 On Error Goto statement 00:04:00 Resetting the error handling Status with On Error Goto 00:02:00 The Err Object 00:07:00 Setting a Breakpoint 00:02:00 Section 12: Triggering Code with Events! Worksheet Events -Selection change 00:08:00 Worksheet Events - Worksheet Activate event 00:03:00 Worksheet Events - Deactivate event 00:02:00 Worksheet Events - Before Delete Event 00:02:00 Worksheet Events - Before Double click event 00:08:00 Worksheet Events - Before Right Click event 00:03:00 Worksheet Events - Calculate event 00:03:00 Enabling and Disabling Events 00:03:00 Worksheet events - Worksheet change event 00:11:00 Workbook Events - Follow Hyperlink event 00:02:00 Worksheet events -Exercise 00:01:00 Workbook Events - Workbook open event 00:05:00 Workbook Events - Workbook Activate event 00:02:00 Workbook Events - Workbook Before save event 00:06:00 Workbook Events - Workbook Aftersave event 00:04:00 Workbook Events - Workbook Beforeclose event 00:09:00 Workbook Events - Workbook BeforePrint event 00:03:00 Workbook Events -Workbook De-activate events 00:02:00 Workbook Events - New Chart event 00:08:00 Workbook Events -New sheet event 00:03:00 Workbook Events - Sheet calculate event 00:03:00 Workbook Events - Sheet De-activate event 00:06:00 Workbook Events - Follow Hyperlink event 00:02:00 Workbook Events - Workbook Window Activate event 00:06:00 Workbook Events - Workbook Window De-Activate event 00:02:00 Workbook Events - Window Resize event 00:02:00 Exercise- Workbook Events 00:01:00 Resources Resources - Excel VBA/Macros Foundations 00:00:00 Assignment Assignment - Excel VBA/Macros Foundations 00:00:00

Join our Microsoft Excel 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 Microsoft Excel course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Microsoft Excel 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! You will Learn The Following Things: 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 Microsoft Excel. 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 After completing the Microsoft Excel course, you will receive your CPD-accredited Digital/PDF Certificate for £5.99. To get the hardcopy certificate for £12.99, you must also pay the shipping charge of just £3.99 (UK) and £10.99 (International). Who Is This Course for? This Microsoft Excel 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 There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Microsoft Excel 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 Microsoft Excel 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: Excel from A-Z Course Introduction Excel from A-Z Course Intro 00:03:00 Excel Job Opportunities 00:03:00 Excel Job Types 00:04:00 Microsoft Excel Marketplace 00:04:00 What is Microsoft Excel? 00:04:00 Who is This Course For? 00:03:00 Unit 02: Getting Started With Excel Finding & Opening Excel 00:01:00 Excel's Start Screen 00:03:00 Explaining the Excel Interface 00:03:00 Excel Interface Continued 00:01:00 Excel Workbook vs. Excel Worksheet 00:02:00 Saving an Excel Document 00:04:00 Customizing the Quick Access Toolbar 00:02:00 Customizing the Excel Ribbon 00:03:00 Excel Shortcut Keys 00:02:00 Unit 03: Values, Referencing and Formulas Creating Excel Labels 00:03:00 Entering Numeric Values in Excel 00:03:00 Formatting Date Values in Excel 00:05:00 Building Basic Formulas in Excel 00:05:00 Order of Operations 00:06:00 Relative vs. Absolute Cell References 00:07:00 Unit 04: Intro to Excel Functions Excel Functions Explained 00:03:00 The SUM() Function 00:08:00 The MIN() & MAX() Function 00:04:00 The AVERAGE() Function 00:02:00 COUNT() Functions 00:05:00 Unit 05: Adjusting Excel Worksheets Moving & Copying Data 00:07:00 Insert & Delete Rows and Columns 00:05:00 Adjusting the Width and Height of Cells 00:05:00 Hiding and Unhiding Excel Rows and Columns 00:04:00 Renaming, Moving & Deleting Excel Worksheets 00:05:00 Adding Protection to Specific Cells 00:04:00 Protecting the Structure of a Workbook 00:02:00 Adding a Workbook Password to Open File 00:02:00 Unit 06: Visually Pleasing Cell Formatting Formatting Fonts and Cell Background Color 00:05:00 Adding Cell Borders 00:05:00 Formatting Data Appropriately 00:05:00 The Magic behind Excel's Format Painter 00:03:00 Creating Styles for Formatting Efficiency 00:06:00 Merging Cells for a Cleaner Look 00:03:00 The Power of Conditional Formatting 00:06:00 Unit 07: How to Insert Images and Shapes! Grab User's Attention using Illustrations 00:09:00 Customizing Icons 00:05:00 Create Compelling Graphics with SmartArt 00:06:00 Unit 08: Visualize Data with Charts The Commonly Used Column Chart 00:03:00 Changing the Chart Design.mp4 00:02:00 Formatting Elements of a Chart 00:06:00 Modifying the Data, Type & Location of a Chart 00:06:00 Unit 09: Excel's Printing Options Print Preview Options 00:04:00 Excel's Page Layout View 00:07:00 Printing a Specific Range of Cells 00:03:00 Converting Spreadsheets to PDF Files 00:02:00 Unit 10: Benefits of Using Excel Templates Why Create an Excel Template 00:01:00 How to Create an Excel Template 00:05:00 Unit 11: Working with Excel Datasets How to Prepare Data for Analysis 00:04:00 How to Sort Data in Excel 00:03:00 Multi-Level Sorting 00:03:00 Custom Sorting Datasets in Excel 00:02:00 Applying Filters to Datasets 00:05:00 Creating Subtotals within a Dataset 00:06:00 Converting Datasets into Tables 00:06:00 Little Slice of Pie Charts 00:05:00 Finding & Removing Duplicate Values 00:07:00 Unit 12: Excel Database Functions The SUMIF() Function 00:09:00 The DSUM() Function 00:08:00 The DSUM() Function Cont. 00:07:00 The SUBTOTAL() Function 00:06:00 Unit 13: Excel Data Validation What is Excel Data Validation? 00:02:00 Creating a Drop Down List with Data Validation 00:07:00 Different Types of Excel Data Validation 00:06:00 Adding Custom Alerts to Data Validation 00:07:00 Creating a Dynamic Drop Down List 00:03:00 Complex Validation: Dependent Drop Down List! 00:09:00 Unit 14: Excel PivotTables Creating an Excel Pivot Table 00:06:00 Modifying Excel PivotTables 00:06:00 Grouping & Filtering PivotTable Data 00:06:00 Drilling Down into PivotTable Data 00:02:00 Creating Pivot Charts & Utilizing Slicers 00:08:00 Unit 15: Excel's PowerPivot Add-In What is PowerPivot? 00:04:00 Activating the Excel PowerPivot Add-In 00:02:00 Creating Relationships between Data Tables.mp4 00:06:00 Using Data Models to Create PivotTables 00:05:00 How to Create PowerPivot KPI's 00:08:00 Unit 16: Excel's Conditional Functions Excels IF Function 00:05:00 IF() Function with AND() Criteria 00:05:00 IF() Function with OR() Criteria 00:05:00 Nesting Multiple IF() Functions 00:07:00 The COUNTIF() Function 00:04:00 Key Benefits of Named Ranges 00:04:00 Unit 17: Excel's Lookup Function VLOOKUP() Function 00:09:00 The Beauty of Excel's IFERROR() Function 00:04:00 HLOOKUP() Function 00:06:00 The INDEX Function 00:05:00 MATCH() Function 00:05:00 INDEX() and MATCH() Combined 00:05:00 Two-Way Lookup with INDEX() and MATCH() 00:04:00 Unit 18: Text Based Functions in Excel LEFT(), RIGHT() and MID() Function 00:07:00 Extracting Specific Text using LEN() & SEARCH() 00:13:00 Combining Text with CONCATENATE() 00:06:00 Quick Tips & Other Text Based Functions 00:06:00 Unit 19: Auditing Formulas and Views in Excel Tracing Precedents & Dependents in Formulas 00:04:00 Showing Formulas 00:02:00 Grouping Data 00:03:00 3D Referencing in Formulas 00:05:00 Utilizing the Watch Window in Excel 00:03:00 How to Freeze Panes in Excel 00:03:00 Unit 20: Excel's 'what If?' Tools Excel's Scenario Manager Tool 00:06:00 Goal Seek in Excel 00:06:00 Compare Results with Excel Data Tables 00:04:00 Solver Tool 00:11:00 Unit 21: Welcome to Excel VBA The Power Behind Excel VBA 00:03:00 A Look Inside the Visual Basic Editor (VBE) 00:04:00 Recording a Macro 00:09:00 Saving & Opening a Macro-Enabled Workbook 00:02:00 Unit 22: The VBA Language Modules and Procedures 00:07:00 Objects, Methods and Properties 00:06:00 Excel VBA Variables 00:05:00 Unit 23: Writing VBA Code Referencing a Range 00:13:00 InputBox & MsgBox 00:06:00 Using Variables in VBA Code 00:05:00 If Then Else Statement 00:10:00 Worksheet Functions inside VBA 00:08:00 Creating User Defined Functions 00:09:00 User Defined Functions within VBA Scripts 00:06:00 Unit 24: Important VBA Tools and Logic Find Last Row of Data 00:06:00 Find Last Column of Data 00:03:00 With Statement 00:05:00 Debugging & Error Handling 00:07:00 Debugging & Error Handling Cont. 00:07:00 Unit 25: Excel VBA Loop For Next Loop 00:09:00 Do Until Loop 00:06:00 For Each Loop 00:04:00 Unit 26: Triggering Macros Assigning Macros to Shapes 00:04:00 Form Controls vs ActiveX Controls 00:08:00 Worksheet Events 00:04:00 Workbook Events 00:03:00 Fun with VBA Events! 00:07:00 Unit 27: Excel User Forms Creating an Excel UserForm 00:03:00 Adding Controls to UserForms 00:10:00 How to Show an UserForm 00:03:00 Passing TextBox Values to Desired Cells 00:07:00 Passing Option Buttons to Desired Cells 00:07:00 UserForm ComboBoxes 00:08:00 Clearing Values from UserForm Controls 00:03:00 How to Close an UserForm 00:02:00 UserForms and Protected Sheets 00:05:00 Unit 28: Starting a Career in Excel Creating an Excel Resume 00:05:00 Getting Started with Freelancing 00:06:00 How to Become an Excel Freelancer 00:05:00 Top Freelance Websites 00:05:00 How to Get Your First Client 00:08:00 Personal Branding 00:07:00 Networking Do's and Don'ts 00:04:00 Importance of Having a Website 00:04:00 Resources Resources - Microsoft Excel 00:00:00

Overview This comprehensive course on Land Management Course will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Land Management Course comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Land Management Course. It is available to all students, of all academic backgrounds. Requirements Our Land Management Course 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 course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 3 sections • 12 lectures • 05:33:00 total length •Module 01: Land Management: An Introduction: 00:28:00 •Module 02: Land Use and Land Use Planning: 00:34:00 •Module 03: Soil Management: 00:36:00 •Module 04: Land Degradation and Management: 00:27:00 •Module 05: Weed Management: 00:37:00 •Module 06: Watershed Management: 00:22:00 •Module 07: Irrigation Management: 00:30:00 •Module 08: Land Tenure, Administration and Transection: 00:42:00 •Module 09: Land Registration and Acquisition: 00:37:00 •Module 10: Land Law: 00:40:00 •Assignment - Land Management Course: 00:00:00 •Order Your Certificate: 00:00:00

Overview This comprehensive course on Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query comes with accredited certification which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query. It is available to all students, of all academic backgrounds. Requirements Our Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 12 sections • 76 lectures • 06:08:00 total length •Course Outline and Introduction: 00:04:00 •Minimum Requirements for the Course: 00:01:00 •Prepayments Introduction: 00:01:00 •Month End Date Prepaid Expenses Amortization Calculation: 00:00:00 •Exact Prepaid Expenses Payment Date Calculation: 00:00:00 •Prepaid Expenses Accounting Definition: Prepayments: 00:03:00 •Prepaid Expense Example: How Accounting works for Prepayments: 00:03:00 •Advantages and Disadvantages of Prepaid Expenses: 00:03:00 •Introduction to PRO Excel Models and Formulas: 00:06:00 •Date Function: 00:05:00 •EOMONTH Function: 00:04:00 •DATEVALUE function: 00:03:00 •IF Function: 00:08:00 •IFS Function (Office 365 Only): 00:07:00 •VLOOKUP Function: 00:07:00 •MATCH Function: 00:05:00 •INDIRECT Function: 00:02:00 •NAMED Ranges: Name Manager: 00:03:00 •Advanced Version of VLOOKUP Function: 00:07:00 •Introduction to Model and Control Panel Tab (Important Sheet Tab): 00:08:00 •Formula Based Prepaid Expenses Model - Deep Dive (Part 1): 00:05:00 •Formula Based Prepaid Expenses Model - Deep Dive (Part 2): 00:06:00 •Formula Based Prepaid Expenses Model - Deep Dive (Part 3): 00:06:00 •IFS Function - Month End date Prepayment calculation: 00:04:00 •Prepaid Expenses - Closing Balance Summary Tab (Formula Based Summary): 00:09:00 •Protecting Formulas Cells and Fields in the Model: 00:04:00 •Exact Date Prepaid Amortisation calculation Intro: 00:03:00 •Formulas update and Model Changes for Exact Prepaid Exps Calculation: 00:03:00 •Formulas Update for Exact Date Prepaid Exps Amortisation (Part 1): 00:04:00 •Formulas Update for Exact Date Prepaid Exps Amortisation (Part 2): 00:03:00 •Formulas Update for Exact Date Prepaid Exps Amortisation (Part 3): 00:02:00 •Formulas Update for Exact Date Prepaid Exps Amortisation (Part 4): 00:07:00 •IFS Function - Exact Date Prepayments Amortisation: 00:04:00 •Data Validation Controls (Enhancing Data Input Controls with Protection): 00:10:00 •Bonus: Prepayment Model with Opening Balance Calculation (Part 1): 00:08:00 •Bonus: Prepayment Model with Opening Balance Calculation (Part 2): 00:09:00 •Additional Material: Resources: 00:00:00 •Power Query and Pivot Table Prepayment Summary Table Intro: 00:06:00 •What is Power Query and Some Awesome Resources for Power Query learning: 00:07:00 •Power Query and Pivot Table Summary - Deep Dive (Part 1): 00:05:00 •Power Query and Pivot Table Summary - Deep Dive (Part 2): 00:04:00 •Power Query and Pivot Table Summary - Deep Dive (Part 3): 00:05:00 •Power Query and Pivot Table Summary - Deep Dive (Part 4): 00:09:00 •Using Array Formulas to Add Formula Protection: 00:04:00 •Bonus: Allocate Prepaid Expenditure Cost Centre Wise - 1: 00:02:00 •Bonus: Allocate Prepaid Expenditure Cost Centre Wise - 2: 00:08:00 •Bonus: Prepayment Model with Opening Balance Calculation (PQ and PT Version): 00:13:00 •Changing Macros Security in Excel: 00:05:00 •Complete Walkthrough - Advanced VBA Prepaid Expenses Amortisation Model: 00:06:00 •Bonus : New Version - Excel VBA Model for Prepayment Expenditure: 00:08:00 •Dynamic Dashboard Overview: 00:07:00 •Importing Profit and Loss Statements Source Files and creating YTD P&L Sheets: 00:08:00 •Creating Dynamic Data Validation: 00:02:00 •Creating Named Ranges for Dynamic Table Arrays: 00:03:00 •Dynamic Date Column Headings for each Divisional PL Table: 00:02:00 •Dynamic Month and YTD Dashboard tables headings (PRO TIP): 00:03:00 •Dynamic VLOOKUP Formula - Preparing First section of the Dashboard: 00:04:00 •Creating Rolling Dashboard with Dynamic VLOOKUP Function: 00:08:00 •IMPORTANT : Error Checking for your reports/Dashboard (PRO TIP): 00:03:00 •Data Prep for Visualization: AREA Charts (Awesome trick using #NA Function): 00:05:00 •Visualization: AREA Charts for Month - Revenue, Gross Profit and Net Profit: 00:05:00 •Visualization DONUT Charts Revenue, Gross Profit and Net Profit (Part 1): 00:03:00 •Visualization DONUT Charts Revenue, Gross Profit and Net Profit (Part 2): 00:06:00 •Introduction - Formula-less Dashboard - Fully Dynamic and easily refreshed: 00:05:00 •Understanding the data files before building dashboard: 00:02:00 •Consolidating Reports with Power Query (Get & Transform) , How to install PQ: 00:08:00 •Dynamic File Path Trick in Power Query with Parameters (Amazing trick): 00:06:00 •Conditional Cumulative totals with SUMIFS Function: 00:04:00 •Bonus: Conditional Cumulative totals with Power Query Custom Formula (M Code): 00:06:00 •Dashboard Creation - Pivot Table showing Month and YTD KPIs division wise: 00:06:00 •Dashboard Creation Donuts Charts linked with Pivot Table (Replicate Charts fast): 00:08:00 •Dashboard Creation - Line Charts: 00:08:00 •Update Dashboard with Additional Divisional Data with Few Click (Magical): 00:03:00 •Thank you: 00:02:00 •Ultimate Prepaid Expenditure Model (Super Bonus): 00:02:00 •Resources - Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query: 00:00:00

Overview This comprehensive course on SolidWorks Masterclass will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This SolidWorks Masterclass comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this SolidWorks Masterclass. It is available to all students, of all academic backgrounds. Requirements Our SolidWorks Masterclass is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 12 sections • 18 lectures • 03:22:00 total length •Introduction: 00:09:00 •User interface: 00:28:00 •Solidworks sketch fundamentals: 00:06:00 •part 1: 00:11:00 •Part 2: 00:10:00 •Part 3: 00:06:00 •Assembly Fundamentals: 00:01:00 •Crank slider mechanism: 00:26:00 •Pepsi bottle: 00:07:00 •Pepsi can: 00:10:00 •Part 1: 00:08:00 •Bearing part 2: 00:05:00 •Bearing assembly: 00:05:00 •Jet Engine parts: 00:28:00 •Jet Engine - Assembly: 00:23:00 •Missiles - parts: 00:14:00 •Missiles - Assembly: 00:05:00 •Assignment - SolidWorks Masterclass: 00:00:00

Course Overview: This comprehensive course on Quality Tools and Problem Solving Methods will deepen your understanding on this topic.After successful completion of this course, you can acquire the required skills in this sector. This Quality Tools and Problem Solving Methods comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market.So enrol in this course today to fast-track your career ladder. Key Features of the Course: CPD certificate upon completion 24/7 learning assistance for continuous support Engaging and interactive learning materials A comprehensive curriculum covering various aspects of Quality Tools and Problem Solving Methods Learn at your own pace, anywhere and anytime Who is This Course For? This Quality Tools and Problem-Solving Methods course is designed for anyone interested in quality management, interested problem solvers, engineers, and anybody looking to expand their knowledge of quality assurance procedures. Whether you're new to quality control or have some experience, this course will provide you with the knowledge and skills you need to succeed in your sector. What You Will Learn: This Quality Tools and Problem Solving Methods course covers: the key principles of quality management and problem solving techniques. Techniques for effective data collection and analysis using check sheets. Brainstorming methods for innovative idea generation. Creation and interpretation of cause & effect diagrams for problem identification. Application of Pareto diagrams and histograms in data analysis. Process improvement and analysis using flowcharts and control charts. Implementing problem-solving methodologies like the A3 process and 8D. Why Enrol in This Course: Enrolling in Basic Automotive Engineering: Onboard Diagnostics will provide you with several benefits. Firstly, it is a top-reviewed course that has recently been updated to align with the latest advancements in automotive technology. By staying up-to-date, you'll gain a competitive edge in the job market and increase your chances of securing exciting career opportunities. Requirements: To enrol in the Quality Tools and Problem Solving Methods course, you typically need: Basic knowledge of quality management concepts. Interest in learning advanced problem-solving techniques. Educational or professional background in business or engineering (recommended but not mandatory). Basic computer and internet skills are needed for accessing course materials. Proficiency in the course language, usually English. Completion of any specific registration or application process set by the course provider. Career Path: Upon completing Quality Tools and Problem Solving Methods , you can explore various exciting career paths. Here are five course-related professions, along with their average UK salaries: Quality Manager (£40,000-£80,000 per year) Process Improvement Analyst (£30,000-£60,000 per year) Manufacturing Engineer (£35,000-£70,000 per year) Continuous Improvement Specialist (£35,000-£65,000 per year) Quality Assurance Engineer (£30,000-£55,000 per year) Certification: Upon completing the Quality Tools and Problem Solving Methods course, you'll receive a CPD certificate widely recognised in various industries. This certificate will elevate your professional standing and open up new career prospects. Enrol today to excel in problem-solving and quality management, joining a global community of learners on this transformative journey. Course Curriculum 21 sections • 44 lectures • 03:14:00 total length •About the instructor: 00:01:00 •Summary of the course: 00:01:00 •Checksheet-1: 00:01:00 •CCIN practice final v2: 00:06:00 •The brainstroming: 00:01:00 •Brainstorming ip: 00:06:00 •The cause and effect diagram: 00:01:00 •CE in practice: 00:08:00 •Tool The Histogram-1: 00:01:00 •The histogram in practice: 00:10:00 •Pareto diagram: 00:01:00 •Pareto in practice final: 00:09:00 •Control Chart-1: 00:01:00 •Control chart in practice part 1: 00:11:00 •Control chart in practice part 2: 00:10:00 •Scatter Plot-1: 00:01:00 •Scatterplot In practice: 00:07:00 •Flowchart in practice: 00:10:00 •Flowchart-1: 00:01:00 •Psp Overview: 00:01:00 •The PSP: 00:04:00 •The PSP in detail: 00:08:00 •The A3: 00:01:00 •A3 sheet: 00:04:00 •The A3 in practice: 00:15:00 •The 8D: 00:01:00 •The 8D in practice: 00:12:00 •The 8D sheet final: 00:04:00 •The PDCA: 00:01:00 •5 Why: 00:01:00 •Six Sigma: 00:01:00 •More about six sigma: 00:05:00 •Shainin system: 00:06:00 •Shainin Method: 00:01:00 •Overview of the section: 00:01:00 •The Preventive Tools: 00:01:00 •The Fmea: 00:01:00 •The FMEA in practice: 00:12:00 •The FMEA process: 00:14:00 •Control plan in practice: 00:07:00 •The Control Plan: 00:01:00 •Final Conclusion: 00:01:00 •QMS: 00:04:00 •Resources - Quality Tools and Problem Solving Methods: 00:00:00

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This Deep Learning & Neural Networks Python - Keras: For Dummies is suitable for anyone aspiring to start a career in Deep Learning & Neural Networks Python - Keras: For Dummies; even if you are new to this and have no prior knowledge on Deep Learning & Neural Networks Python - Keras: For Dummies, this course is going to be very easy for you to understand.  And if you are already working in the Deep Learning & Neural Networks Python - Keras: For Dummies field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this Deep Learning & Neural Networks Python - Keras: For Dummies course is a win-win for you in all aspects.  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. 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Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML or DL for the next AI project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation and Sample Program to Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow library Installation and Sample Program to Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation and Switching Theano and TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps and Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training and Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding the Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - k-fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing the Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding the Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing the Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Layer Tuning for Smaller Network Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning for Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding the Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing the Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement by Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement by Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement by Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save and Load Model as YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load and Predict using the Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load and Predict using the Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load and Predict using the Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load and Predict using the Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction to Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading the Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Multi-Layer Perceptron Model Development MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN using MNIST Large CNN using MNIST 00:09:00 Load and Predict using the MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction to Image Augmentation using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation using Rotation and Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding and Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train and Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load and Predict using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00

Overview of Data Science & Machine Learning with Python Join our Data Science & Machine Learning with Python 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 Data Science & Machine Learning with Python course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Data Science & Machine Learning with Python 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! This Data Science & Machine Learning with Python 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 Data Science & Machine Learning with Python. 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 Data Science & Machine Learning with Python 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 Data Science & Machine Learning with Python 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 Data Science & Machine Learning with Python 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 Data Science & Machine Learning with Python 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 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 00:04:00 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 Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 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 00:06:00 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 - Data Science & Machine Learning with Python 00:00:00

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In this competitive job market, you need to have some specific skills and knowledge to start your career and establish your position. This Branding Your Online Business course will help you understand the current demands, trends and skills in the sector. The course will provide you with the essential skills you need to boost your career growth in no time. The Branding Your Online Business course will give you clear insight and understanding about your roles and responsibilities, job perspective and future opportunities in this field. You will be familiarised with various actionable techniques, career mindset, regulations and how to work efficiently. This course is designed to provide an introduction to Branding Your Online Business and offers an excellent way to gain the vital skills and confidence to work toward a successful career. It also provides access to proven educational knowledge about the subject and will support those wanting to attain personal goals in this area. Learning Objectives Learn the fundamental skills you require to be an expert Explore different techniques used by professionals Find out the relevant job skills & knowledge to excel in this profession Get a clear understanding of the job market and current demand Update your skills and fill any knowledge gap to compete in the relevant industry CPD accreditation for proof of acquired skills and knowledge Who is this Course for? Whether you are a beginner or an existing practitioner, our CPD accredited Branding Your Online Business course is perfect for you to gain extensive knowledge about different aspects of the relevant industry to hone your skill further. It is also great for working professionals who have acquired practical experience but require theoretical knowledge with a credential to support their skill, as we offer CPD accredited certification to boost up your resume and promotion prospects. Entry Requirement Anyone interested in learning more about this subject should take this Branding Your Online Business course. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. The course is open to students from any academic background, as there is no prerequisites to enrol on this course. The course materials are accessible from an internet enabled device at anytime of the day. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £4.99 and the hard copy for £9.99. Also, you can order both PDF and hardcopy certificates for £12.99. Career path The Branding Your Online Business will help you to enhance your knowledge and skill in this sector. After accomplishing this course, you will enrich and improve yourself and brighten up your career in the relevant job market. Course Curriculum Introduction to Branding Your Online Business Introduction 00:05:00 Module 01: Is Entrepreneurship for You Is Entrepreneurship for You 00:04:00 Reasons to Become an Entrepreneur 00:04:00 Characteristics of an Entrepreneur 00:04:00 The Mindset of an Entrepreneur 00:04:00 Types of Entrepreneurs 00:04:00 The 8p's Of Entrepreneurship 00:03:00 Module 02: Setting Up Your Home Office Setting Up Your Home Office 00:04:00 Tips for Designing Your Office Space 00:02:00 How to Layout Your Office Space 00:02:00 Tips to Be Super Productive in Your Home Office 00:03:00 Provides privacy 00:03:00 Set Up a Home Office You Love 00:03:00 Module 03: Decide Which Industry and Niche to Fill Decide Which Industry and Niche to Fill 00:04:00 Tips to find the right industry for you 00:03:00 How to Find Your Niche 00:04:00 Strategies for choosing an E-Commerce niche 00:04:00 How to Market an Online Business 00:05:00 Create Multiple Revenue Streams for Your Business 00:04:00 Module 04: Starting Your Business Online with Affiliate Marketing Starting Your Business Online with Affiliate Marketing 00:05:00 What is Affiliate Marketing 00:03:00 Tips on Choosing Products to Market 00:04:00 How to Get Targeted Traffic for Your Products 00:03:00 Research Product Demand 00:03:00 Choosing the Right Products to Sell for Yourself 00:04:00 Module 05: The Importance of Digital Marketing to an Online Business The Importance of Digital Marketing to An Online Business 00:03:00 Choosing the right platform to build your website 00:04:00 Using Social Media Effectively 00:03:00 Building Referrals with Current Customers 00:03:00 The Importance of An Autoresponder to Generate Leads 00:03:00 Using Articles to generate Leads 00:03:00 Module 06: Branding Your Business Branding Your Business 00:03:00 The Importance of Good Customer Service 00:03:00 Define Your Audience 00:04:00 Grow Your Online Presence 00:03:00 Reinvent Your Brand as Your Grow 00:03:00 Embrace Networking On and Offline 00:04:00 Module 07: Conclusion Review of course 00:03:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00