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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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Course Curriculum Getting prepared - access the software and course materials The structure of the course - first things first! 00:05:00 Set up free trial 00:03:00 Getting started Starting A New Company File 00:11:00 Setting up the system Enter opening balances 00:02:00 Reverse opening balances - accruals and prepayments 00:06:00 Report Journal 00:05:00 Nominal ledger Amend The Nominal Ledger 00:07:00 Report listing the nominal ledgers 00:02:00 Customers Enter customers 00:09:00 Report on customer contact information 00:01:00 Suppliers Enter Suppliers 00:05:00 Supplier Contact List 00:02:00 Sales ledger Enter Invoices 00:09:00 Invoice Entering 00:03:00 Invoice batch 00:06:00 Post Sales Credit Notes 00:08:00 Report showing Customer Activity 00:03:00 Aged Debtors 00:02:00 Purchases ledger Post Supplier Invoices 00:03:00 Entering a Batch of Supplier Bills 00:09:00 Credit Notes Suppliers 00:05:00 Reclassify Supplier Bills - Flash Bulbs Purchased 00:04:00 Supplier Account Activity Report 00:04:00 Sundry payments Post Cheques 00:07:00 Report showing supplier payments 00:01:00 Sundry receipts Receipts from customers 00:07:00 Report showing customer receipts 00:02:00 Petty cash Post Petty Cash Transactions and Report 00:04:00 Post cash payments to ledgers 00:02:00 Enter petty cash items 00:14:00 Report on Petty Cash Payments Proper 00:05:00 Post Sundry Payments 00:05:00 Report Bank Payments 00:03:00 VAT - Value Added Tax VAT Return 00:03:00 Bank reconciliation Reconcile The Bank 00:10:00 Provide A Report Showing Any Unreconnciled Transaction 00:02:00 Payroll / Wages Post the Wages Journal 00:08:00 Posting Journal Adjustments 00:02:00 Reports Month end adjustments 00:03:00 Month end reports 00:06:00 Tasks Task- Clearing the accounts 00:06:00 Task - Customer report 00:01:00 Additional Resources Course Paper 00:00:00 Further Reading - QuickBooks Online 2014 The Handbook 00:00:00 Mock Exam Mock Exam - Quickbooks Bookkeeping - Starting A New Company File 00:20:00 Final Exam Final Exam - Quickbooks Bookkeeping - Starting A New Company File 00:20:00 Assignment Assignment - Quickbooks Bookkeeping - Starting A New Company File 00:00:00
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Start your learning journey straight away with this course and take a step toward a brighter future! *** Course Curriculum *** Here are the topics you will cover on the Course: >> Complete Microsoft Excel << Module 01: Microsoft Excel 2019 New Features Introduction to Microsoft Excel 2019 New Features CONCAT IFS MAXIFS MINIFS SWITCH TEXTJOIN Map Chart Funnel Chart Better Visuals Pivot Table Enhancements Power Pivot Updates Module 02: Getting Started with Microsoft Office Excel Navigate the Excel User Interface Use Excel Commands Create and Save a Basic Workbook Enter Cell Data Use Excel Help Module 03: Performing Calculations Create Worksheet Formulas Insert Functions Reuse Formulas and Functions Module 04: Modifying a Worksheet Insert, Delete, and Adjust Cells, Columns, and Rows Search for and Replace Data Use Proofing and Research Tools Module 05: Formatting a Worksheet Apply Text Formats Apply Number Format Align Cell Contents Apply Styles and Themes Apply Basic Conditional Formatting Create and Use Templates Module 06: Printing Workbooks Preview and Print a Workbook Set Up the Page Layout Configure Headers and Footers Module 07: Managing Workbooks Manage Worksheets Manage Workbook and Worksheet Views Manage Workbook Properties Module 08: Working with Functions Work with Ranges Use Specialized Functions Work with Logical Functions Work with Date & Time Functions Work with Text Functions Module 09: Working with Lists Sort Data Filter Data Query Data with Database Functions Outline and Subtotal Data Module 10: Analyzing Data Apply Intermediate Conditional Formatting Apply Advanced Conditional Formatting Module 11: Visualizing Data with Charts Create Charts Modify and Format Charts Use Advanced Chart Features Module 12: Using PivotTables and PivotCharts Create a PivotTable Analyze PivotTable Data Present Data with PivotCharts Filter Data by Using Timelines and Slicers Module 13: Working with Multiple Worksheets and Workbooks Use Links and External References Use 3-D References Consolidate Data Module 14: Using Lookup Functions and Formula Auditing Use Lookup Functions Trace Cells Watch and Evaluate Formulas Module 15: Sharing and Protecting Workbooks Collaborate on a Workbook Protect Worksheets and Workbooks Module 16: Automating Workbook Functionality Apply Data Validation Search for Invalid Data and Formulas with Errors Work with Macros Module 17: Creating Sparklines and Mapping Data Create Sparklines MapData Module 18: Forecasting Data Determine Potential Outcomes Using Data Tables Determine Potential Outcomes Using Scenarios Use the Goal Seek Feature Forecasting Data Trends Module 19: Excel Templates Excel Templates Assessment Process Once you have completed all the modules in the Complete Microsoft Excel course, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. CPD 15 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this course. This course is open to everybody. Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this course, you are to start your career or begin the next phase of your career. Certificates CPD Accredited Certificate Digital certificate - £10 CPD Accredited Certificate Hard copy certificate - £29 If you are an international student, then you have to pay an additional 10 GBP as an international delivery charge.
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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
Unlock your screenwriting potential with our Online Screenwriting for Film & Television (UK) course. Learn essential techniques, understand industry standards, and enhance your scriptwriting skills. Perfect for aspiring and experienced screenwriters alike. Get CPD accredited and boost your career in the UK film and TV industry.
Learn the procedures of winning the heart of your reader. Short stories are one of the most popular forms of writing as people prefer to read short stories instead of long novels nowadays. The Creative Writing Course - Short Stories course helps you to learn the useful, pragmatic ways of scripting short stories that will attract the customers. Before starting the writing strategies, the course shows you some related terms for writing such as time management, defining your goals for writing, understanding the audiences, etc. Then, you will know how to create protagonists, style, the point of view, tones, short story templates, creating draft and publishing. The final section is dedicated to the procedures of edition including Kindle publishing etc. Here, you will also learn how to deal with the rejections, rights and payments. In short, the course guides you to start writing short stories. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of applying for NUS Extra Discount Card; 24/7 student support via email. Who is this Course for? Creative Writing Course - Short Stories is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Creative Writing Course - Short Stories is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. 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 £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Course Curriculum Introduction Introduction to Short Story Writing 00:06:00 Foreword Who Am I to Run This Course? 00:06:00 It's All About Mindset 00:07:00 What Tools Do You Need To Succeed? 00:05:00 Part One: Mindset Mental Preparation 00:06:00 Time Management 00:06:00 Self Belief 00:02:00 Goal Setting 00:01:00 Part Two: The Basics Subject Matter 00:04:00 Genre 00:07:00 Scope 00:02:00 Getting Ideas 00:02:00 Part Three: Construction Time The 7-Step Story Generator 00:02:00 Characters & Character Creation 00:03:00 Creating Protagonists 00:07:00 Character Motivation & Interactions 00:03:00 Story & Setting 00:03:00 The 5-Point Story Structure 00:02:00 Style & Tone 00:02:00 Point of View & Tense 00:03:00 Plotting & The Twist 00:05:00 Building a Short Story Template 00:03:00 Building a Short Story Template 00:03:00 Introduction to Scrivener All Hail Scrivener! 00:04:00 Part Four: Writing Your Story The Opening Paragraph 00:03:00 Fast Writing 00:05:00 The Second Draft 00:04:00 Polishing 00:04:00 Part Five: Submitting Your Work 6 Lectures It's All About Presentation 00:04:00 Dealing With Rejection 00:02:00 Rights and Payment 00:01:00 Kindle Publishing 00:04:00 Conclusion Short Stories 00:02:00 Resources Resources - Creative Writing Course - Short Stories 00:00:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00