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Get started with creating JavaFX applications using TornadoFX - A lightweight JavaFX framework for Kotlin

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Learning Objectives Introduction , Customizing Excel , Analyzing Data with Logical Functions , Working with Lookup Functions , Using Text Functions , Working with Date and Time Functions , Formula Auditing , What-If Analysis , Worksheet and Workbook Protection , Automating with Macros , Working with Form Controls , Ensuring Data Integrity , Collaborating in Excel , Importing and Exporting Data to a Text File , Conclusion   Pre-Requisites Excel 365 Introduction and Intermediate courses or equivalent experience.   Description This course will teach students advanced concepts and formulas in Microsoft Excel 365. Students will learn functions such as SUMIF, AVERAGEIF, and COUNTIF, advanced lookup functions, and complex logical and text functions. Additionally, students will experiment with auditing formulas and error checking, use the What-If Analysis tools, learn the options for worksheet and workbook protection, review advanced use of PivotTables and PowerPivot add-in, work with Macros, use form controls, and ensure data integrity in their worksheets and workbooks. Students will also learn about Excel's many collaboration features and import and export data to and from their workbooks. Course Introduction Introduction 00:01:00 Section 01 Lesson 01-Customizing the Ribbon 00:09:00 Lesson 02-Customizing the Quick Access Toolbar 00:06:00 Lesson 03-Customizing the General and Formula Options 00:04:00 Lesson 04-Customizing the AutoCorrect Options 00:03:00 Lesson 05-Customizing the Save Defaults 00:04:00 Lesson 06-Customizing Advanced Excel Options 00:03:00 Section 02 Lesson 01-Working with the Most Common Logical Functions 00:03:00 Lesson 02-Understanding IF Functions 00:06:00 Lesson 03-Evaluating Data with the AND Function 00:05:00 Lesson 04-Evaluating Data with the OR Function 00:03:00 Lesson 05-Creating a Nested IF Function 00:05:00 Lesson 06-Using the IFS Function 00:03:00 Lesson 07-Summarizing Data with SUMIF 00:03:00 Lesson 08-Summarizing Data with AVERAGEIF 00:02:00 Lesson 09-Summarizing Data with COUNTIF 00:02:00 Lesson 10-Summarizing Data with MAXIFS and MINIFS 00:03:00 Lesson 11-Using the IFERROR Function 00:03:00 Section 03 Lesson 01-What are Lookup Functions 00:03:00 Lesson 02-Using VLOOKUP 00:08:00 Lesson 03-Using HLOOKUP 00:03:00 Lesson 04-Using VLOOKUP with TRUE 00:04:00 Lesson 05-Using HLOOKUP with TRUE 00:02:00 Lesson 06-Using the Index Function 00:03:00 Lesson 07-Using the MATCH Function 00:03:00 Lesson 08-Combining INDEX and MATCH 00:04:00 Lesson 09-Comparing Two Lists with VLOOKUP 00:02:00 Lesson 10-Comparing Two Lists with VLOOKUP and ISNA 00:04:00 Lesson 11-Using the New XLookup Function-v2 00:07:00 Lesson 12-Using Dynamic Array functions-v2 00:06:00 Lesson 13-Other New Functions-v2 00:04:00 Section 04 Lesson 01-What are Text Functions 00:01:00 Lesson 02-Using CONCAT, CONCATENATE, AND TEXTJOIN 00:04:00 Lesson 03-Using Text to Columns 00:02:00 Lesson 04-Using LEFT, RIGHT, and MID Functions 00:03:00 Lesson 05-Using UPPER, LOWER, and PROPER Functions 00:02:00 Lesson 06-Using the Len Function 00:03:00 Lesson 07-Using the Trim Function 00:01:00 Lesson 08-Using the SUBSTITUTE Function 00:02:00 Section 05 Lesson 01-What are Date and Time Functions 00:02:00 Lesson 02-Using TODAY, NOW, and DAY Functions 00:03:00 Lesson 03-Using NETWORKDAYS and YEARFRAC Functions 00:03:00 Section 06 Lesson 01-Showing Formulas 00:03:00 Lesson 02-Tracing Precedents and Dependents 00:04:00 Lesson 03-Adding a Watch Window 00:04:00 Lesson 04-Error Checking 00:04:00 Section 07 Lesson 01-Using the Scenario Manager 00:07:00 Lesson 02-Using Goal Seek 00:03:00 Lesson 03-Analyzing with Data Tables 00:04:00 Section 08 Lesson 01-Understanding Protection 00:02:00 Lesson 02-Encrypting Files with Passwords 00:05:00 Lesson 03-Allowing Specific Worksheet Changes 00:02:00 Lesson 04-Adding Protection to Selected Cells 00:03:00 Lesson 05-Additional Protection Features 00:03:00 Section 09 Lesson 01-What are Macros 00:03:00 Lesson 02-Displaying the Developer Tab 00:03:00 Lesson 03-Creating a Basic Formatting Macro 00:05:00 Lesson 04-Assigning a Macro to a Button 00:03:00 Lesson 05-Creating Complex Macros 00:04:00 Lesson 06-Viewing and Editing the VBA Code 00:04:00 Lesson 07-Adding a Macro to the Quick Access Toolbar 00:03:00 Section 10 Lesson 01-What are Form Controls 00:02:00 Lesson 02-Adding a Spin Button and Check Boxes 00:04:00 Lesson 03-Adding a Combo Box 00:07:00 Section 11 Lesson 01-What is Data Validation 00:02:00 Lesson 02-Restricting Data Entry to the Whole Numbers 00:02:00 Lesson 03-Restricting Data Entry to a List 00:04:00 Lesson 04-Restricting Data Entry to a Date 00:02:00 Lesson 05-Restricting Data Entry to Specific Text Lengths 00:01:00 Lesson 06-Composing Input Messages 00:02:00 Lesson 07-Composing Error Alerts 00:03:00 Lesson 08-Finding Invalid Data 00:02:00 Lesson 09-Editing and Deleting Validation Rules 00:01:00 Section 12 Lesson 01-Working with Comments-v2 00:03:00 Lesson 02-Printing Comments and Errors 00:02:00 Lesson 03-Sharing a Workbook 00:04:00 Lesson 04-Co-Authoring in Excel 00:02:00 Lesson 05-Tracking Changes in a Workbook 00:03:00 Lesson 06-Working with Versions 00:03:00 Lesson 07-Sharing files Via Email-v2 00:03:00 Section 13 Lesson 01-Importing a Text File 00:04:00 Lesson 02-Exporting Data to a Text File 00:01:00 Course Recap Recap 00:02:00 Additional Materials Resource - Excel 365 Advanced 00:00:00 Final Exam Final Exam - Excel 365 Advanced 00:20:00

This course gets you started with the testing of web services and REST APIs using SoapUI features and tools. You will start with the basics and advance towards designing test frameworks for performing manual and automation testing on web services and APIs with the help of real-time projects.

This course will let you develop the skillsets needed to guide the delivery of value in a Lean enterprise—and learn about the activities, tools, and mechanics used to manage backlogs and programs. Attending the class prepares you to take the exam and become a certified SAFe® 6 Product Owner/Product Manager (POPM). SAFe Product Owner/Product Manager 6 training course is provided under Scaled Agile, Inc. Partner Program Agreement.

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

Explore everything that Vue.js has to offer from the ground up, all while building 4 projects to put your knowledge into practice. You will learn all of the essential Vue skills, along with the new Vue.js 3 features and syntax.

24 Hours Left! Don't Let Year-End Deals Slip Away - Enrol Now! Change the lives of people who are struggling with substance misuse. Join our Substance Misuse Outreach Worker course to advance to a profession as a substance abuse outreach worker and play a crucial role in the battle against substance abuse. This Diploma in Substance Misuse Outreach Worker at QLS Level 5 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 150 CPD points) to make your skill development & career progression more accessible than ever! People who abuse any substance-legal or illegal-that has a negative impact on their physical, emotional, social, or overall well-being. A substance abuse outreach worker is frequently the person a recovering person first gets in touch with. In this position, you'll assist those struggling with addiction and their families in finding the resources and support they need to get through their challenges and lead healthy lives. Making relationships with neighbourhood groups, medical professionals, and governmental organisations is part of your job description if you want to offer counselling, therapy, and other services. Additionally, it will be your responsibility to inform the public and raise awareness of the problem of substance abuse and its prevention. Making a difference in the lives of those who are impacted by addiction is a rewarding and significant opportunity. After successfully completing this Substance Misuse Outreach Worker course, you will be able to: Understand substance misuse causes and effects on individuals and society. Implement effective substance use policies and interventions. Assess and treat substance misuse considering biological, psychological, and social factors. Enhance awareness of health considerations in substance misuse management. Address specific treatment situations, including child substance misusers. Develop career consultancy skills in the field of substance misuse. Join the front lines of the fight against substance abuse by enrolling right away. Why Prefer This Substance Misuse Outreach Worker at QLS Level 5 Course? Opportunity to earn a certificate endorsed by the Quality Licence Scheme & another accredited by CPDQS which is completely free. Get a free student ID card! (£10 postal charge will be applicable for international delivery) Innovative and engaging content. Free assessments 24/7 tutor support. Substance Misuse Outreach Worker Course Take a step toward a brighter future with Substance Misuse Outreach Worker Training *** Course Curriculum of Substance Misuse Outreach*** Here is the curriculum breakdown of the Substance Misuse Outreach Worker at QLS Level 5 course: Module 01: Substance Misuse and Outreach Worker Module 02: Substances: Drugs, Alcohol and Others Module 03: Abuses of Substance Misuse Module 04: Why People Use Drug and Alcohol? Module 05: The Nature of Substance Misuse: Biological, Psychological and Social Perspectives Module 06: Understand Possible Causes of Substance and Drug Abuse Module 07: Implementing Substance Use Policy Module 08: Effects of Drugs on the Body and Mind Module 09: Enhancing Assessment and Treatment of Substance Misuse Module 10: Health Consideration Module 11: Specific Treatment Situations Module 12: Substance Misusers: Children Module 13: Risk Factors Module 14: Pharmacological Agents Used in the Management of Substance Misuse Problems Module 15: Planning and Implementing a Practice Improvement Subject Module 16: Prevention and Awareness Module 17: Substance Use Capabilities Across All Level of Social Work Module 18: Career Consultancy Assessment Process of Substance Misuse Outreach To earn a Diploma in Substance Misuse Outreach Worker at QLS Level 5, complete all course assignments with at least 60% marks. Expert trainers will review your work and provide feedback. Successfully passing all exams allows you for a certificate endorsed by the Quality Licence Scheme. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Substance Misuse Outreach Worker course will be ideal for: The Substance Misuse Outreach Worker course is ideal for those aspiring in social work, professionals seeking skill validation, and medical or correctional facility staff dealing with substance abuse management. Requirements Substance Misuse Outreach Worker Course No prior background or expertise is required to enrol in this Substance Misuse Outreach Worker Course Career path Substance Misuse Outreach Worker Course After completing this Substance Misuse Outreach Worker course, you'll have the in-depth knowledge and skills required to manage any problems you might meet as a social outreach expert in the following areas: Rehabilitation centre Counselling Referral service Education and training programs Healthcare Certificates CPDQS Accredited Certificate Digital certificate - Included Diploma in Substance Misuse Outreach Worker at QLS Level 5 Hard copy certificate - Included Show off Your New Skills with a Certificate of Completion After successfully completing the Diploma in Substance Misuse Outreach Worker at QLS Level 5, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme andalso you can order CPDQSAccredited Certificate that is recognised all over the UK and also internationally. The certificates will be home-delivered, completely free of cost.

Are you looking to enhance your Agile Project Management skills? If yes, then you have come to the right place. Our comprehensive course on Agile Project Management will assist you in producing the best possible outcome by mastering the Agile Project Management skills. The Agile Project Management course is for those who want to be successful. In the Agile Project Management course, you will learn the essential knowledge needed to become well versed in Agile Project Management. Our Agile Project Management course starts with the basics of Agile Project Management and gradually progresses towards advanced topics. Therefore, each lesson of this Agile Project Management course is intuitive and easy to understand. Why would you choose the Agile Project Management course from Compliance Central: Lifetime access to Agile Project Management course materials Full tutor support is available from Monday to Friday with the Agile Project Management course Learn Agile Project Management skills at your own pace from the comfort of your home Gain a complete understanding of Agile Project Management course Accessible, informative Agile Project Management learning modules designed by expert instructors Get 24/7 help or advice from our email and live chat teams with the Agile Project Management bundle Study Agile Project Management in your own time through your computer, tablet or mobile device. A 100% learning satisfaction guarantee with your Agile Project Management Course Improve your chance of gaining in demand skills and better earning potential by completing the Agile Project Management Agile Project Management Curriculum Breakdown of the Agile Project Management Course Introduction Basic concepts Traditional Project Management Agile Project Management Which way to go: Traditional or Agile? The Skeleton and Heart of Scrum Let's Simulate a Project! [Initiation] Guaranteeing Project Success Since its Kickoff [Planning] Plan to Deliver Value [Execution] Managing the Execution [Inspection and Adaptation] Closing and Validation and Sprint [Closure] Closing a Project [EXTRA] Getting certified! [Bonus Course 1] Crash Course on Leadership [Bonus Course 2] Crash Course on Negotiation [Bonus Course 3] Crash Course on Productivity CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Agile Project Management course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Agile Project Management. It is also great for professionals who are already working in Agile Project Management and want to get promoted at work. Requirements To enrol in this Agile Project Management course, all you need is a basic understanding of the English Language and an internet connection. Career path The Agile Project Management course will enhance your knowledge and improve your confidence in exploring opportunities in various sectors related to Agile Project Management. Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: £3.99 each Outside of the UK: £9.99 each

If you have already done with the basic functions of Microsoft Office Access 2016, then now you're ready to learn advanced Access features such as database management, advanced form design, packaging a database, encrypting a database, preparing a database for multi-user access, and more. Access is Microsoft's flagship database application that allows you to create and manage databases for all sorts of different purposes. This new version of Access incorporates a few new features and connectivity options in order to make databases more accessible to the everyday user. This Access 2016 Advanced is intended to help all users get up to speed on the different features of Access and to become familiar with its more advanced features. The course covers how to complete advanced form design tasks, add field and record validation, create and manage macros, conduct advanced database management, distribute and secure a database, and manage switchboards. What Will I Learn? Improve the Structure of a Database Maintain a Database Work with Access Switchboards Configure Access for Multiple Users Automate Processed with VBA Use Table Events Requirements Access Introduction and Intermediate courses or equivalent experience. Who is the target audience? Students who wish to learn the more advanced capabilities of Access. Introduction Introduction FREE 00:01:00 Improving the Structure of a Database Using the Table Analyzer Wizard 00:05:00 Append Querying to Normalize a Table 00:09:00 Creating a Junction Table 00:06:00 Maintaining a Database Backing Up a Database 00:02:00 Using the Compact and Repair Database Tool 00:03:00 Using the Object Dependencies Tool 00:02:00 Using the Database Documenter Too 00:02:00 Using the Performance Analyzer Tool 00:02:00 Working with Access Switchboards Understanding the Access Switchboard 00:03:00 Using The Switchboard Manager 00:09:00 Modifying a Switchboard 00:05:00 Setting the Startup Options 00:04:00 Configuring Access for Multiple Users Using the database Splitter 00:04:00 Configuring Trusted Locations 00:02:00 Password Protecting a Database 00:03:00 Password Protecting Modules 00:01:00 Converting a Database to an ACCDE file 00:02:00 Automating Processes with VBA Understanding VBA Basics 00:06:00 Exploring Variables and Control Flow Statements 00:10:00 Exporting a Table or Query with VBA 00:06:00 Converting a Macro to VBA 00:02:00 Using Table Events Understanding Table Events 00:02:00 Using the Before Change Event Command 00:04:00 Using the After Change Event Command 00:04:00 Conclusion Course Recap 00:01:00 Resources Resources - Access 2016 Advanced 00:00:00 Course Certification