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The course 'Learn AutoCAD Programming using VB.NET - Hands On!' provides comprehensive training in using VB.NET to program and automate tasks in AutoCAD. It covers essential concepts, components of the AutoCAD .NET API, creating and manipulating AutoCAD objects, exploring AutoCAD dictionaries, user interactions, selection sets, and developing practical projects. Participants will gain the necessary skills to efficiently create custom plugins and enhance their productivity in AutoCAD. Learning Outcomes: Understand the fundamentals of VB.NET programming and its relevance to AutoCAD. Explore the AutoCAD .NET API components and learn to work with the AutoCAD object hierarchy. Create and manipulate various AutoCAD objects such as lines, circles, polylines, and more using VB.NET. Implement AutoCAD dictionaries to manage layers, line types, text styles, and other entities. Utilize user interactions for input and output in VB.NET, enhancing the user experience. Work with selection sets and filters to efficiently select and process AutoCAD objects. Develop hands-on projects, including a BlocksCounter plugin and an ObjectExtractor plugin, to reinforce learning and practical application. Why buy this Learn AutoCAD Programming using VB.NET - Hands On!? 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 Learn AutoCAD Programming using VB.NET - Hands On! 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 Learn AutoCAD Programming using VB.NET - Hands On! does not require you to have any prior qualifications or experience. You can just enrol and start learning.  Prerequisites This Learn AutoCAD Programming using VB.NET - Hands On! 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 Learn AutoCAD Programming using VB.NET - Hands On! is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Unit 01: Introduction Module 01: Course Outline 00:05:00 Module 02: Introduction 00:01:00 Module 03: Who is this Course for? 00:01:00 Module 04: What will I learn from this Course? 00:01:00 Module 05: What is VB.NET? 00:01:00 Module 06: What is AutoCAD .NET API? 00:01:00 Module 07: What are the advantages of programming in AutoCAD .NET API? 00:01:00 Module 08: Hands-on Projects overview 00:06:00 Unit 02: Exploring AutoCAD .NET API Components Module 01: AutoCAD .NET API Components Overview 00:01:00 Module 02: AutoCAD .NET API Assemblies 00:02:00 Module 03: Understanding AutoCAD Object Hierarchy 00:03:00 Module 04: AutoCAD .NET API Application Object 00:02:00 Module 05: AutoCAD .NET API Document Object 00:02:00 Module 06: AutoCAD .NET API Database Object 00:04:00 Unit 03: Hello AutoCAD from VB.NET Module 01: Section Overview 00:04:00 Module 02: Installing Visual Studio 2019 00:05:00 Module 03: Setting up Visual Studio 2019 Integrated Development Environment (IDE) 00:04:00 Module 04: Creating First VB.NET Plugin (Hello AutoCAD) 00:12:00 Module 05: Different ways to communicate with the User 00:04:00 Module 06: Configuring VS2019 Target Processor 00:10:00 Unit 04: Creating AutoCAD Objects using VB.NET Module 01: Creating AutoCAD Object using VB.NET Overview 00:01:00 Module 02: Creating DrawObjects Project 00:04:00 Module 03: Creating a Line Object using VB.NET 00:15:00 Module 04: Creating a MText Object using VB.NET 00:12:00 Module 05: Creating a Circle Object using VB.NET 00:09:00 Module 06: Creating an Arc Object using VB.NET 00:07:00 Module 07: Creating a Polyline Object using VB.NET 00:08:00 Module 08: Creating Multiple Circles Vertically 00:09:00 Module 09: Creating Multiple Circles Horizontally 00:05:00 Unit 05: Manipulating AutoCAD Objects using VB.NET Module 01: Manipulating AutoCAD Objects Overview 00:01:00 Module 02: Creating the Project ManipulateObjects 00:04:00 Module 03: Creating the SingleCopy Method 00:13:00 Module 04: Creating the MultipleCopy Method 00:11:00 Module 05: Creating the EraseObject Method 00:12:00 Module 06: Creating the MoveObject method 00:07:00 Module 07: Creating the MirrorObject method 00:10:00 Module 08: Creating the RotateObject method 00:07:00 Module 09: Creating the ScaleObject method 00:05:00 Module 10: Creating the OffsetObject method 00:05:00 Unit 06: Exploring AutoCAD Dictionaries using VB.NET Module 01: Exploring AutoCAD Dictionaries - Overview 00:02:00 Module 02: Creating LayersLineTypesAndStyles Project 00:06:00 Module 03: Creating the ListLayers Method 00:11:00 Module 04: Creating the CreateLayer Method 00:10:00 Module 05: Creating the UpdateLayer Method 00:12:00 Module 06: Creating the SetLayerOnOff Method 00:08:00 Module 07: Creating the SetLayerFrozenOrThaw Method 00:04:00 Module 08: Creating the DeleteLayer Method 00:05:00 Module 09: Creating the LockUnlockLayer Method 00:04:00 Module 10: Creating the SetLayerToObject Method 00:08:00 Module 11: Creating the ListLineTypes Method 00:09:00 Module 12: Creating the LoadLineType Method 00:07:00 Module 13: Creating the SetCurrentLineType Method 00:05:00 Module 14: Creating the DeleteLineType Method 00:09:00 Module 15: Creating the SetLineTypeToObject Method 00:05:00 Module 16: Exploring TextStyles - Overview 00:01:00 Module 17: Creating the ListStyles Method 00:08:00 Module 18: Creating the UpdateCurrentTextStyleFont Method 00:12:00 Module 19: Creating the SetCurrentTextStyle Method 00:08:00 Module 20: Creating the SetTextStyleToObject Method 00:08:00 Unit 07: User Interactions in VB.NET Module 01: User Input Functions - Overview 00:02:00 Module 02: Creating the UserInteractions Project 00:03:00 Module 03: Creating the GetName Method 00:11:00 Module 04: Creating the SetLayer Method using the GetString function 00:12:00 Module 05: Creating the CreateLineUsingGetpoint Method 00:11:00 Module 06: Creating the CalculateDefinedArea Method 00:17:00 Module 07: Creating the DrawObjectsUsingGetKeywords Method 00:14:00 Module 08: Creating the GetDistanceBetweenTwoPoints Method 00:05:00 Module 09: Creating the CountObjects Method 00:15:00 Unit 08: Selection Sets and Filters Module 01: Selection Sets and Filters - Overview 00:13:00 Module 02: Creating the SelectionSets Project 00:05:00 Module 03: Creating the SelectAllAndChangeLayer Method 00:12:00 Module 04: Creating the SelectObjectOnScreen Method 00:08:00 Module 05: Creating the SelectWindowAndChangeColor Method 00:06:00 Module 06: Creating the SelectCrossingAndDelete Method 00:05:00 Module 07: Creating the SelectFenceAndChangeLayer Method 00:06:00 Module 08: Creating the CountPickFirstSelection Method 00:07:00 Module 09: Creating the SelectLines Method 00:13:00 Module 10: Creating the SelectMTexts Method 00:05:00 Module 11: Creating the SelectPlines Method 00:04:00 Module 12: Creating the SelectWalls Method 00:07:00 Module 13: Creating the SelectStairs Method 00:03:00 Module 14: Creating the SelectFrenchDoors Method 00:04:00 Module 15: Creating the SelectBifoldDoors Method 00:03:00 Module 16: Creating CountReceptacles Method 00:04:00 Module 17: Creating the CountLightingFixtures Method 00:10:00 Unit 09: Developing Projects - Hands On Module 01: Developing Projects - Hands on Overview 00:02:00 Module 02: BlocksCounter Plugin Demo 00:03:00 Module 03: Creating the BlocksCounter Project 00:04:00 Module 04: Creating the CountBlocksToTable Method 00:08:00 Module 05: Creating the PromptUser Function 00:08:00 Module 06: Creating the GatherBlocksAndDrawTable Method 00:12:00 Module 07: Continuation of GatherBlocksAndDrawTable Method 00:17:00 Module 08: Running and Debugging the BlocksCounter Project - Part 1 00:15:00 Module 09: Running and Debugging the BlocksCounter Project - Part 2 00:11:00 Module 10: Running and Debugging the BlocksCounter Project - Part 3 00:01:00 Module 11: Creating the ObjectExtractor Plugin Project 00:04:00 Module 12: Creating the ExtractObjects Method 00:07:00 Module 13: Creating the ExtractLine Method 00:16:00 Module 14: Running and Debugging the ExtractLine Method 00:05:00 Module 15: Creating the ExtractCircle Method 00:11:00 Module 16: Creating the ExtractMText Method 00:13:00 Module 17: Creating the ExtractPolyline Method 00:19:00 Module 18: Creating the ExtractBlock Method 00:10:00 Unit 10: Conclusion Module 01: Congratulations and Thank you very much! 00:01:00 Assignment Assignment - Learn AutoCAD Programming using VB.NET - Hands On! 00:00:00

Learn how to create an automated trading bot using Python with this comprehensive course. Master Python basics, understand trading fundamentals, build and integrate the bot with a broker API, and run it effectively. Learning Outcomes: Gain proficiency in Python programming for trading purposes. Understand the fundamental concepts of trading and market dynamics. Build a structured trading bot using Python and Github version control. Integrate the bot with a broker API for real-time trading functionality. Successfully run and manage the automated trading bot for efficient execution. Why buy this Making Automated Trading Bot Using Python? 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 Making Automated Trading Bot Using Python 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 Making Automated Trading Bot Using Python 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 Making Automated Trading Bot Using Python does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Making Automated Trading Bot Using Python 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 Making Automated Trading Bot Using Python is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Introduction About the course structure 00:05:00 Why working is important? 00:04:00 The free and perfect tools 00:07:00 Our editor: Atom 00:04:00 Version control: Github 00:07:00 Python download (Mac) 00:05:00 Python download (Windows) 00:02:00 Section 02: Python Basics for Trading Introduction 00:03:00 Python Libraries 00:05:00 Iterators: for 00:08:00 Iterators: while 00:08:00 Conditionals: if & else 00:10:00 Logic gates: and & or 00:09:00 Error handling: try & except 00:09:00 Functions and calls to libraries 00:13:00 Objects and classes (1) 00:10:00 Objects and classes (2) 00:07:00 Debugging the code 00:12:00 Closing and wrap up 00:01:00 Section 03: Trading Basics Introduction 00:03:00 Fundamental vs Technical Analysis 00:04:00 Stocks vs CFDs 00:05:00 Long and Short positions 00:04:00 Takeprofit and Stoploss 00:03:00 Setting a real Stoploss 00:08:00 Limit and Market orders 00:10:00 Don't forget the spread 00:04:00 Stock data visualisation: candles 00:08:00 Technical Indicators: about 00:05:00 Exponential Moving Average 00:08:00 EMA use and interpretation 00:06:00 Relative Strength Index 00:07:00 Stochastic Oscillator 00:09:00 Closing and wrap up 00:01:00 Section 04: Bot Code General Structure Introduction 00:02:00 Overview 00:08:00 The Entry Strategy 00:10:00 About Tradingview 00:12:00 When to enter (1) 00:08:00 When to enter (2) 00:08:00 Open and hold a position 00:12:00 Closing a position 00:08:00 Review (1) 00:06:00 Review (2) 00:13:00 Closing 00:02:00 Section 05: Github Basics Introduction 00:04:00 Download and install Github 00:01:00 Create a repo 00:10:00 Working with branches 00:13:00 Section 06: Building Your Bot Introduction 00:05:00 Create the first bot file 00:07:00 Building the bot scheme 00:08:00 Complete your code scheme (1) 00:11:00 Complete your code scheme (2) 00:11:00 Complete your code scheme (3) 00:18:00 A logger to remember (1) 00:14:00 A logger to remember (2) 00:14:00 Organising your code 00:07:00 Main function: run bot 00:23:00 Link the bot and the library 00:08:00 Traderlib control functions (1) 00:12:00 Traderlib control functions (2) 00:13:00 Check if tradable function 00:06:00 Set stoploss function 00:10:00 Set takeprofit function 00:04:00 Load historical data function 00:01:00 Get open positions function 00:04:00 Submit and cancel order functions 00:04:00 Check positions function 00:09:00 The Tulipy libraries 00:07:00 Importing all the libraries 00:03:00 First filter: get general trend 00:19:00 Second filter: get instant trend 00:14:00 Third filter: RSI 00:08:00 Fourth filter: Stochastic Oscillator 00:14:00 Enter position (1) 00:13:00 Enter position (2) 00:11:00 Enter position (3) 00:15:00 Enter position (4) 00:08:00 Last check before opening 00:13:00 Exit position and get out 00:10:00 Linking everything (1) 00:12:00 Linking everything (2) 00:12:00 Linking everything (3) 00:15:00 Fixing a mistake: going Short 00:05:00 Handling all your variables 00:18:00 Closing and wrap up 00:01:00 Run function scheme clarification and rebuild 00:13:00 Section 07: Integrating the Broker API Introduction 00:03:00 The Alpaca Python API Wrapper 00:07:00 Initialising the REST API 00:09:00 Running the program (crash!) 00:06:00 Integration with check account (1) 00:08:00 Integration with check account (2) 00:05:00 Clean open orders function 00:10:00 Importing the trading library 00:04:00 Running the main 00:05:00 Check position function 00:09:00 Check if asset exists function 00:08:00 Fetching barset data (theory) 00:07:00 Fetching barset data (practice) 00:12:00 Updating the code for the Alpaca API V2 (explanation) 00:03:00 Updating the code for the Alpaca API V2 (implementation) 00:08:00 Organizing data with Pandas 00:06:00 Get general trend function (1) 00:08:00 Reframing the timeframe with Pandas 00:23:00 Get general trend function (2) 00:13:00 Get instant trend function 00:08:00 Get RSI function 00:06:00 Get Stochastic function 00:10:00 Get current price function 00:05:00 Finishing get shares amount 00:09:00 Opening a position (1) 00:12:00 Opening a position (2) 00:09:00 Check the open position 00:07:00 Cancelling the order (1) 00:20:00 Cancelling the order (2) 00:08:00 Making sure we cancelled 00:03:00 Get average entry price function 00:10:00 Fixing bugs when getting price 00:18:00 Check Stochastic crossing 00:02:00 Holding an open position 00:11:00 Submitting the exit order 00:08:00 Closing position and out (1) 00:08:00 Closing position and out (2) 00:10:00 Closing and wrap up 00:01:00 Section 08: Running the Trading Bot Introduction 00:03:00 Filtering asset by price and volume 00:07:00 Get the bot ready to trade 00:04:00 Running the Trading Bot with AAPL 00:09:00 A real open position 00:08:00 Debugging and bug fixing 00:12:00 Fixing one (last) bug 00:02:00 Running the bot with TSLA 00:10:00 Discussing EMA implementations 00:12:00 Closing and wrap up 00:02:00

Psychological Wellbeing Practitioner Course Online Unlock the Power of Psychological Wellbeing Practitioner Course: Enrol Now! Suppose you want to work as a Psychological Wellbeing Practitioner or learn more about Psychological Well-being but don't know where to start. In that case, this Psychological Wellbeing Practitioner course will provide you with a solid foundation to become a confident Psychological Wellbeing Practitioner and develop more advanced skills. Day by day, the number of people suffering from mental health problems like depression, anxiety, and low moods increases. This Psychological Wellbeing Practitioner course will help you better understand common mental health issues you or someone close to you may be dealing with. Through this Psychological Wellbeing Practitioner course, you'll learn how to assess and support people dealing with common mental health issues. This qualification aims to provide you with a better understanding of psychotherapy's core concepts, such as common psychological problems, the difference between psychotherapy and counselling, the various forms and types of psychotherapy, and much more. This Psychological Wellbeing Practitioner course will provide you with an overview of the role of a psychological wellbeing practitioner. You'll also learn about crisis intervention and how to help a client in crisis. Learning Outcomes After completing this Psychological Wellbeing Practitionercourse, the learner will be able to: Understand the basic concepts of psychotherapy. Understand the roles of a psychological wellbeing practitioner. Gain a thorough understanding of the common mental health difficulties and human psychology. Know the difference between psychotherapy and counselling. Know what skills are needed to be an exemplary psychological wellbeing practitioner. Gain in-depth knowledge of low-intensity CBT treatment. Become familiar with various types of psychotherapy like psychodynamic psychotherapy, counselling approaches, cognitive behavioural therapy and more. Know how to assess a patient. Understand crisis intervention and be able to help a client in crisis. Why choose this Psychological Wellbeing Practitioner course from the School of Health Care? Self-paced course, access available from anywhere in the world. High-quality study materials that are easy to understand. Course developed by industry experts. After each module, there will be an MCQ quiz to assess your learning. Assessment results are generated automatically and instantly. 24/7 support is available via live chat, phone call, or email. Free PDF certificate after completing the course. Courses you will Get with This Psychological Wellbeing Practitioner Course Course 01: Psychological Wellbeing Practitioner Course Course 02: Diploma in Health and Wellbeing Course 03: Level 2 Certificate in Awareness of Mental Health Problems [ Note: Free PDF certificate as soon as completing the Psychological Wellbeing Practitioner: Psychological Wellbeing Practitioner Course] Psychological Wellbeing Practitioner Course Online This Psychological Wellbeing Practitioner Course consists of 08 modules. Curriculum of Psychological Wellbeing Practitioner Course Module 01: An Overview of Psychotherapy Module 02: Necessary Skills of a Psychological Wellbeing Practitioner Module 03: Different Types of Therapies Module 04: The Ways of Engaging and Assessing the Patients Module 05: Understanding the Low Intensity CBT Treatment Module 06: Different Forms of Psychotherapy Module 07: The Ways of Helping the Client in Crisis Module 08: Understanding Crisis Intervention Assessment Method of Psychological Wellbeing Practitioner Course After completing Psychological Wellbeing Practitioner: Psychological Wellbeing Practitioner Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Psychological Wellbeing Practitioner Course After completing the Psychological Wellbeing Practitioner: Psychological Wellbeing Practitioner course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Psychological Wellbeing Practitioner Course Online This Psychological Wellbeing Practitioner: Psychological Wellbeing Practitioner course is ideal for anyone who wants to start a career as a Psychological Wellbeing Practitioner: Psychological Wellbeing Practitioner. Requirements Psychological Wellbeing Practitioner Course Online To enrol in this Psychological Wellbeing Practitioner Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Psychological Wellbeing Practitioner Course. Be energetic and self-motivated to complete our Psychological Wellbeing Practitioner Course. Basic computer Skill is required to complete our Psychological Wellbeing Practitioner Course. If you want to enrol in our Psychological Wellbeing Practitioner: Psychological Wellbeing Practitioner Course, you must be at least 15 years old. Career path Psychological Wellbeing Practitioner Course Online This Psychological Wellbeing Practitioner: Psychological Wellbeing Practitioner course will lead you to a range of career opportunities, including the following: Mental Health Counsellor Psychiatric Nurse Practitioner Social Worker

Level 7 Project Management Course Online Unlock the Power of Project Management: Project Management Course: Enrol Now! Project management professionals are required at all levels in both the private and public sectors. Project Management: Project Management Course is a sector that focuses on the planning, implementation, and supervision of critical projects that are at the heart of the modern business. Project Managers ensure that all predetermined objectives are met, on time and within budget, from simple operational adjustments to massive restructuring efforts. The demand for talented project managers continues to grow globally, as it is a position of significant responsibility. The Project Management: Project Management Course will introduce you to both fundamental and cutting-edge project management concepts. Throughout seventeen engaging modules, you will learn about project tools, techniques, and standards, as well as what is used in your organization. This Project Management: Project Management Course will help those new to project management lead and contribute to projects more effectively. Defining a project, planning a project, managing project quality and risk, managing project scope, managing project time, managing project communication, and managing global projects are some highlights of the course. Learning Outcomes You will be able to do the following at the end of the course: Recognize project management's technology and vocabulary. Demonstrate project preparation, execution, and close-out abilities. List the strengths, credentials, and abilities of a professional project manager. Discuss project management best practices. Determine the best methods and methodologies for project management. Create a project charter and define the project. Build and record clear and efficient project specifications. Organize the project team and cultivate constructive relationships with stakeholders. Estimate project costs and evaluate project outcomes. Main Course: Level 7 Project Management Course Included Project Management Course Course 01: Construction Project Management Course 02: Level 7 Construction Management Course 03: Construction Site Management Course 04: Level 1 Construction Cost Estimation Other Benefits of this Level 7 Project Management Course Free 05 PDF Certificate Access to Content - Lifetime Exam Fee - Totally Free Free Retake Exam [ Note: Free PDF certificate as soon as completing the Level 7 Project Management course] Level 7 Project Management Course Online Course Curriculum of Level 7 Project Management Course Module 01: Introduction to Project Management Module 02: Project Life-Cycle Module 03: Factors for Project Success or Failure Module 04: Project Feasibility Analysis and Project Selection Module 05: Project Execution and Control Module 06: Quality Management Module 07: Managing Conflict Module 08: Cost Management Module 09: Time Management Module 10: Project Risk Management Module 11: Project Procurement Management Module 12: Project Change Management Module 13: Communication Management Module 14: Project Integration Management Module 15: Scope Management Module 16: Managing Project Closure Module 17: International Course Curriculum of Construction Project Management Course Module 1: Construction Practices Module 2: Systematic Project Management Module 3: Project Estimating Module 4: Project Planning Module 5: Project Scheduling Concepts Module 6: Managing Time Module 7: Resource Management Module 8: Project Scheduling Applications Module 9: Project Cost System Module 10: Project Financial Management Course Curriculum of Course Curriculum of Level 7 Construction Management Course Module 1: Introduction to Construction Management Module 2: Arrangement of Construction Projects Module 3: Work Breakdown Structure Explained Module 4: The Process of Estimation and Resources Allocation for a Project Module 5: Planning Project Effectively Module 6: Project Risk Management Module 7: Estimating Cost Module 8: Initial Site Investigation and Assessment Module 9: Site Organisation Module 10: Planning for Construction Equipment Module 11: Managing Construction Equipment Module 12: Managing Construction Materials Module 13: Human Resources Management (HRM) Module 14: Building Better Teams Module 15: Managing Conflict Module 16: Managing Anger and Violence in the Workplace Module 17: Storage Management Module 18: Purchasing and Vendor Management Module 19: Quality Control for Construction Works Module 20: Legal Features of Contracting and more.. Assessment Method After completing Level 7 Project Management Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification After completing the Level 7 Project Management course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Level 7 Project Management Course Online This course is for anyone who wants to improve their project management skills and try their hand at it. People who work in the following fields will benefit from this course: Project Manager Project Supervisor Project Analyst Project Assistant Project Coordinator Project Management Support Project Consultant Project Management Assistant Project Management Officer Requirements Level 7 Project Management Course Online Students who intend to enrol in Level 7 Project Management Training course must meet the following requirements: Good command of the English language Must be vivacious and self-driven Basic computer knowledge A minimum of 16 years of age is required Career path Level 7 Project Management Course Online Project Management Course carries wide and diverse career choices, which include: Project Assistant Project Management Support Project Analyst Project Coordinator

Learn how good communication works, and how your style relates to this. Includes Rules of Communication, Your Communication Style, Your Self Image, Clarifying Objectives, Reviewing Your Assumptions.

Learn the vital core skills of questioning and listening skills, and face-to-face communication. Includes Verbal Skills & Asking Questions, Open & Closed Questions, The Funnel, Active Listening, Face‐to‐Face Communication, Rules for Success

Learn how to deal with, and prevent, communication problems. Includes Identifying Problems, Opposition & Conflict, Difficult Messages, Assertiveness & Intimidation, Best Practices.

Learn telephone and written communication skills, as well as how to create an effective social media profile. Includes Better Telephone Communication, Overcoming Challenges on the Phone, Writing Structure & Quick Tips, Social Media Basics.

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

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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