547 Manipulation courses

Embarking on a thrilling auditory journey, the Complete Adobe Audition CC Course unlocks the doors to a universe of sound manipulation. Dive into a meticulously designed curriculum that not only enlightens you on the nuances of audio recording but also shares secrets of enhancing mobile-recorded audio. From initiating new projects to mastering advanced mixing in multi-track sessions, this comprehensive course ensures you grasp every aspect of Adobe Audition. By the end, not only will your audio quality elevate, but you'll possess the skills to create impeccable, studio-quality recordings every time. Learning Outcomes Master the essential features of Adobe Audition in less than half an hour. Implement narration workflows and multi-track sessions for advanced audio mixing. Enhance audio quality, especially from mobile recordings, using Adobe Audition techniques. Understand the interface, troubleshoot common issues, and employ advanced editing techniques for voice recordings. Utilise Adobe Audition's effects rack, manage loudness, and explore unique audio effects, such as spectral frequency editing. Why choose this Complete Adobe Audition CC Course ? 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 Complete Adobe Audition CC Course 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 Complete Adobe Audition CC Course  for? Audio enthusiasts keen on honing their audio editing skills. Podcasters wanting to uplift their content's audio quality. Music producers aiming to diversify their toolkit. Narrators seeking efficient workflows for flawless recordings. Individuals aiming to understand the intricacies of Adobe Audition for personal or professional use. Career path Audio Editor: £20,000 - £35,000 Podcast Producer: £25,000 - £40,000 Music Producer: £25,000 - £50,000 Sound Engineer: £18,000 - £40,000 Voiceover Artist: £20,000 - £60,000 (depending on projects) Sound Designer: £22,000 - £45,000 Prerequisites This Complete Adobe Audition CC Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Adobe Audition CC 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. Course Curriculum Module 01: Welcome To The Complete Adobe Audition CC Course! Welcome to the Complete Adobe Audition CC Course! 00:02:00 Module 02: Are You Ready To Learn The Essentials Of Adobe Audition In Less Than 30 Minutes Are You Ready to Learn the Essentials of Adobe Audition in Less Than 30 Minutes 00:01:00 Module 03: How To Record Audio, Apply Effects, Save Files, And Export MP3 How to Record Audio, Apply Effects, Save Files, and Export MP3 00:05:00 Module 04: Secrets To Reducing Time Editing Audio By Recording With A Quality Microphone In A Quiet Studio Secrets to Reducing Time Editing Audio by Recording with a Quality Microphone in a Quiet Studio 00:05:00 Module 05: Narration Workflow For Quickly Redoing Mistakes With Leaving Silence Narration Workflow for Quickly Redoing Mistakes with Leaving Silence 00:05:00 Module 06: Multi Track Sessions For Working With Multiple Audio Files And Advanced Mixing Multi track Sessions for Working with Multiple Audio Files and Advanced Mixing 00:05:00 Module 07: How To Make Audio Recorded On Your Phone Sound Better In 5 Minutes How to Make Audio Recorded On Your Phone Sound Better in 5 Minutes 00:05:00 Module 08: You Are On Your Way To Mastering Adobe Audition! You Are On Your Way to Mastering Adobe Audition! 00:01:00 Module 09: Adobe Audition Interface For Beginners Adobe Audition Interface for Beginners 00:08:00 Module 10: Audio Not Recording Or Playing Back In Adobe Audition Check Input And Output Devices Audio Not Recording or Playing Back in Adobe Audition Check Input and Output Devices 00:02:00 Module 11: Starting New Audio Files, Multitrack Sessions, And Saving Projects Starting New Audio Files, Multitrack Sessions, and Saving Projects 00:08:00 Module 12: Beginner Audio Mistake And Solution! Beginner Audio Mistake and Solution! 00:08:00 Module 13: Saving And Exporting Audio Files In Adobe Audition Saving and Exporting Audio Files in Adobe Audition 00:07:00 Module 14: How To Record Audio In Adobe Audition For Easy Editing By Leaving Silence After Mistakes How to Record Audio in Adobe Audition for Easy Editing by Leaving Silence after Mistakes 00:11:00 Module 15: How To Save Hundreds Of Hours Editing! How to Save Hundreds of Hours Editing! 00:08:00 Module 16: Editing A Voice Recording In Adobe Audition Using Silence To Find And Delete Errors Editing a Voice Recording in Adobe Audition Using Silence to Find and Delete Errors 00:13:00 Module 17: Punch And Roll Recording In Adobe Audition For Quickly Fixing Narration Mistakes Punch and Roll Recording in Adobe Audition for Quickly Fixing Narration Mistakes 00:09:00 Module 18: Multi Track Session Basics With Podcast Template On Adobe Audition Multi track Session Basics with Podcast Template on Adobe Audition 00:14:00 Module 19: Fade Audio In And Out Fade Audio In and Out 00:07:00 Module 20: Copying, Cutting, Splitting, Pasting, And Editing Audio Together In Adobe Audition Copying, Cutting, Splitting, Pasting, and Editing Audio Together in Adobe Audition 00:12:00 Module 21: Starting A Music Production In Adobe Audition Starting a Music Production in Adobe Audition 00:02:00 Module 22: Noise Reduction With Adobe Audition - Capture Noise Print And Removing A Background Air Condition Noise Reduction with Adobe Audition - Capture Noise Print and Removing a Background Air condition 00:14:00 Module 23: Best Effects Presets For Beautiful Vocals Best Effects Presets for Beautiful Vocals 00:11:00 Module 24: Applying The Effects Rack To Add Compression, Limiting, And Equalization In Adobe Audition! Applying The Effects Rack to Add Compression, Limiting, and Equalization in Adobe Audition! 00:14:00 Module 25: Match Loudness On Multiple Files In Adobe Audition With Batch Processing Match Loudness on Multiple Files in Adobe Audition with Batch Processing 00:12:00 Module 26: Time Stretching Time Stretching 00:04:00 Module 27: Shift Pitch Up And Down For A Good Laugh! Shift Pitch Up And Down for a Good Laugh! 00:05:00 Module 28: Delay And Echo Effects Delay and Echo Effects 00:07:00 Module 29: Spectral Frequency Editing And Pitch Display Spectral Frequency Editing and Pitch Display 00:05:00 Module 30: Reversing Audio To Create Amazing Sounds Reversing Audio to Create Amazing Sounds 00:03:00 Module 31: Adobe Audition Alternatives Adobe Audition alternatives 00:07:00 Assignment Assignment - Complete Adobe Audition CC Course 00:00:00

Dive deep into the vast realm of Python data science with our meticulously crafted course: 'Python Data Science with Numpy, Pandas and Matplotlib'. Explore the intricate details of Python, setting the stage with Pandas and Numpy, before delving into the power of Python data structures. With topics ranging from Python Strings to Matplotlib Histograms, you'll gain a holistic insight, ensuring that every dataset you touch unveils its story compellingly. So, if you're keen on transmuting raw data into visual masterpieces or insights, this journey is tailor-made for you. Learning Outcomes Grasp foundational knowledge of Python and its data structures like strings, lists, and dictionaries. Understand the potential of NumPy, from basic array operations to handling multi-dimensional arrays. Master the versatility of Pandas, encompassing everything from dataframe conversions to intricate operations like aggregation and binning. Efficiently manage, manipulate, and transform data using Pandas' diverse functionalities. Create visually striking and informative graphs using the power of Matplotlib. Why buy this Python Data Science with Numpy, Pandas and Matplotlib course? 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 Python Data Science with Numpy, Pandas and Matplotlib 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 Python Data Science with Numpy, Pandas and Matplotlib course for? Beginners eager to jumpstart their journey in Python data science. Analysts looking to enhance their data manipulation skills using Python. Statisticians keen on expanding their toolset with Python-based libraries. Data enthusiasts desiring a deep dive into Python's data libraries and structures. Professionals aiming to upgrade their data visualisation techniques. Prerequisites This Python Data Science with Numpy, Pandas and Matplotlib does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python Data Science with Numpy, Pandas and Matplotlib 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 Data Scientist: £40,000 - £80,000 Python Developer: £35,000 - £70,000 Data Analyst: £30,000 - £55,000 Business Intelligence Analyst: £32,000 - £60,000 Research Analyst: £28,000 - £52,000 Data Visualization Engineer: £33,000 - £65,000 Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:09:00 Introduction to Python, Pandas and Numpy Introduction to Python, Pandas and Numpy 00:07:00 System and Environment Setup System and Environment Setup 00:08:00 Python Strings Python Strings - Part 1 00:11:00 Python Strings - Part 2 00:09:00 Python Numbers and Operators Python Numbers and Operators - Part 1 00:06:00 Python Numbers and Operators - Part 2 00:07:00 Python Lists Python Lists - Part 1 00:05:00 Python Lists - Part 2 00:06:00 Python Lists - Part 3 00:05:00 Python Lists - Part 4 00:07:00 Python Lists - Part 5 00:07:00 Tuples in Python Tuples in Python 00:06:00 Sets in Python Sets in Python - Part 1 00:05:00 Sets in Python - Part 2 00:04:00 Python Dictionary Python Dictionary - Part 1 00:07:00 Python Dictionary - Part 2 00:07:00 NumPy Library - Introduction NumPy Library Intro - Part 1 00:05:00 NumPy Library Intro - Part 2 00:05:00 NumPy Library Intro - Part 3 00:06:00 NumPy Array Operations and Indexing NumPy Array Operations and Indexing - Part 1 00:04:00 NumPy Array Operations and Indexing - Part 2 00:06:00 NumPy Multi-Dimensional Arrays NumPy Multi-Dimensional Arrays - Part 1 00:07:00 NumPy Multi-Dimensional Arrays - Part 2 00:06:00 NumPy Multi-Dimensional Arrays - Part 3 00:05:00 Introduction to Pandas Series Introduction to Pandas Series 00:08:00 Introduction to Pandas Dataframes Introduction to Pandas Dataframes 00:07:00 Pandas Dataframe conversion and drop Pandas Dataframe conversion and drop - Part 1 00:06:00 Pandas Dataframe conversion and drop - Part 2 00:06:00 Pandas Dataframe conversion and drop - Part 3 00:07:00 Pandas Dataframe summary and selection Pandas Dataframe summary and selection - Part 1 00:06:00 Pandas Dataframe summary and selection - Part 2 00:06:00 Pandas Dataframe summary and selection - Part 3 00:07:00 Pandas Missing Data Management and Sorting Pandas Missing Data Management and Sorting - Part 1 00:07:00 Pandas Missing Data Management and Sorting - Part 2 00:07:00 Pandas Hierarchical-Multi Indexing Pandas Hierarchical-Multi Indexing 00:06:00 Pandas CSV File Read Write Pandas CSV File Read Write - Part 1 00:05:00 Pandas CSV File Read Write - Part 2 00:07:00 Pandas JSON File Read Write Pandas JSON File Read Write Operations 00:07:00 Pandas Concatenation Merging and Joining Pandas Concatenation Merging and Joining - Part 1 00:05:00 Pandas Concatenation Merging and Joining - Part 2 00:04:00 Pandas Concatenation Merging and Joining - Part 3 00:04:00 Pandas Stacking and Pivoting Pandas Stacking and Pivoting - Part 1 00:06:00 Pandas Stacking and Pivoting - Part 2 00:05:00 Pandas Duplicate Data Management Pandas Duplicate Data Management 00:07:00 Pandas Mapping Pandas Mapping 00:04:00 Pandas Grouping Pandas Groupby 00:06:00 Pandas Aggregation Pandas Aggregation 00:09:00 Pandas Binning or Bucketing Pandas Binning or Bucketing 00:08:00 Pandas Re-index and Rename Pandas Re-index and Rename - Part 1 00:04:00 Pandas Re-index and Rename - Part 2 00:05:00 Pandas Replace Values Pandas Replace Values 00:05:00 Pandas Dataframe Metrics Pandas Dataframe Metrics 00:07:00 Pandas Random Permutation Pandas Random Permutation 00:08:00 Pandas Excel sheet Import Pandas Excel sheet Import 00:07:00 Pandas Condition Selection and Lambda Function Pandas Condition Selection and Lambda Function - Part 1 00:05:00 Pandas Condition Selection and Lambda Function - Part 2 00:05:00 Pandas Ranks Min Max Pandas Ranks Min Max 00:06:00 Pandas Cross Tabulation Pandas Cross Tabulation 00:07:00 Matplotlib Graphs and plots Graphs and plots using Matplotlib - Part 1 00:06:00 Graphs and plots using Matplotlib - Part 2 00:02:00 Matplotlib Histograms Matplotlib Histograms 00:03:00 Resource File Resource File - Python Data Science with Numpy, Pandas and Matplotlib 00:00:00

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special IT Support Technician Training Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The IT Support Technician Training Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This IT Support Technician Training Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This IT Support Technician Training Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this IT Support Technician Training? 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 IT Support Technician Training 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 IT Support Technician Training 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 IT Support Technician Training does not require you to have any prior qualifications or experience. You can just enrol and start learning.This IT Support Technician Training 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 IT Support Technician Training is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: How People Use Computers The Case for Computer Literacy 00:03:00 Features Common to Every Computing Device 00:02:00 Common General-Purpose Computing Devices 00:02:00 Networks of Computing Devices 00:04:00 Remotely-Accessed Computer Systems 00:04:00 Specialized Computer Systems 00:02:00 Specialty I/O Devices 00:01:00 Section 02: System Hardware CPUs 00:03:00 Passive and Active Cooling 00:03:00 RAM and Active Memory 00:05:00 Motherboards 00:03:00 Power Supplies 00:03:00 AMA - Ask Me Anything about System Hardware 00:07:00 Section 03: Device Ports and Peripherals Ports and Connectors 00:03:00 General Use I/O Devices 00:02:00 AMA - Ask Me Anything about I/O, Ports and Peripherals 00:07:00 Section 04: Data Storage and Sharing Basics of Binary 00:04:00 Storage Technologies 00:04:00 Mass Storage Variation 00:03:00 AMA - Ask Me Anything about Data Storage and Sharing 00:07:00 Section 05: Understanding Operating Systems Operating System Functions 00:04:00 Operating System Interfaces 00:05:00 AMA - Ask Me Anything about Understanding OS's 00:05:00 Section 06: Setting Up and Configuring a PC Preparing the Work Area 00:02:00 Setting up a Desktop PC 00:01:00 Completing PC Setup 00:04:00 AMA - Ask Me Anything about Setting up and Configuring a PC 00:09:00 Section 07: Setting Up and Configuring a Mobile Device Personalizing a Tablet 00:08:00 AMA - Ask Me Anything about Mobile Devices Part 1 00:07:00 AMA - Ask Me Anything about Mobile Devices Part 2 00:07:00 Section 08: Managing Files File Management Tools 00:02:00 File Manipulation 00:06:00 Backups 00:03:00 AMA - Ask Me Anything about Managing Files 00:08:00 Section 09: Using and Managing Application Software Walking Survey of Applications 00:03:00 Managing Applications 00:03:00 Applications and Extensions 00:04:00 AMA - Ask Me Anything about Working with Applications 00:07:00 Section 10: Configuring Network and Internet Connectivity Wi-Fi Setup 00:06:00 Going High Speed 00:03:00 Setting Up and Sharing Printers 00:05:00 AMA - Ask Me Anything about Networks and Internet Connectivity Part 1 00:07:00 AMA - Ask Me Anything about Networks and Internet Connectivity Part 2 00:05:00 Section 11: IT Security Threat Mitigation Physical Security 00:05:00 Dealing with Malware 00:03:00 Password Management 00:03:00 Clickworthy 00:03:00 Perils of Public Internet 00:02:00 AMA - Ask Me Anything about IT Threat Mitigation Part 1 00:07:00 AMA - Ask Me Anything about IT Threat Mitigation Part 2 00:08:00 Section 12: Computer Maintenance and Management Power Management 00:02:00 Cleaning and Maintaining Computers 00:02:00 Trash it or Stash it? 00:02:00 AMA - Ask Me Anything about Computer Maintenance and Management 00:11:00 Section 13: IT Troubleshooting Troubleshooting 101 00:03:00 AMA - Ask Me Anything about Troubleshooting Computers Part 1 00:10:00 AMA - Ask Me Anything about Troubleshooting Computers Part 2 00:11:00 Section 14: Understanding Databases Introduction to Databases 00:06:00 Database Details 00:06:00 AMA - Ask Me Anything about Databases 00:06:00 Section 15: Developing and Implementing Software Introduction to Programming 00:04:00 Programming with a PBJ Sandwich 00:08:00 AMA - Ask Me Anything about Databases 00:06:00

This course is a perfect introduction for individuals and students interested in becoming cyber security/information security professionals. With this course, you will acquire well-rounded knowledge about the fundamental concepts of cyber/information security.

Description Register on the Hands on Programming on AutoCAD to Excel Using VB.NET today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a certificate as proof of your course completion. The Hands on Programming on AutoCAD to Excel Using VB.NET course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablets, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With This Course Receive a digital certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment You need to attend an assessment right after the completion of this course to evaluate your progression. For passing the assessment, you need to score at least 60%. After submitting your assessment, you will get feedback from our experts immediately. Who Is This Course For The course is ideal for those who already work in this sector or are aspiring professionals. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.   Course Content Section 01: Introduction Introduction - Hands on Programming on AutoCAD to Excel Using VB.NET 00:04:00 Who is this course for? - Hands on Programming on AutoCAD to Excel Using VB.NET 00:02:00 What will you learn from this course? - Hands on Programming on AutoCAD to Excel Using VB.NET 00:05:00 Tools needed 00:01:00 Course Prerequisites 00:04:00 Section 02: Exporting AutoCAD Objects to Excel Section Overview - Export AutoCAD Objects to Excel 00:02:00 Exporting Lines to Excel - Overview 00:02:00 Creating the VB.NET-Excel Project 00:06:00 Design of User Interface to Export Lines 00:10:00 Creating the Common Utility Class 00:19:00 Creating the ExportLines Method 00:12:00 Running and Testing ExportLines Method 00:06:00 Exporting MTexts to Excel - Overview 00:02:00 Creating the ExportMTexts Method 00:11:00 Export Polylines to Excel - Overview 00:01:00 Creating the ExportPolylines Method 00:12:00 Running and Testing ExportPoylines Method 00:12:00 Exporting Blocks (With Attributes) to Excel - Overview 00:02:00 Creating the ExportBlocks Method 00:12:00 Creating Export Blocks UI and Running the Code 00:06:00 Exporting Blocks (With Attributes) to Excel - Overview 00:02:00 Creating the User Interface for exporting Blocks to Excel 00:05:00 Creation of BlocksForm UI 00:04:00 Coding the BlocksForm Load Event 00:08:00 Testing the BlocksForm UI 00:03:00 Coding the BlocksForm to populate the Listboxes 00:15:00 Coding the BlocksForm Export Button 00:04:00 Coding the ExportBlocksWithAttributes Method 00:21:00 Running and Testing ExportBlocksWithAttributes Method 00:02:00 Section 03: Importing Excel File into AutoCAD Section Overview - Import Excel File into AutoCAD 00:01:00 Importing Lines from Excel File into AutoCAD - Overview 00:01:00 Creating ImportExcelUtil Class 00:02:00 Creating the ImportLines Method 00:19:00 Creating the UI for the ImportLines Method 00:02:00 Coding the ImportLines UI code behind. 00:07:00 Running and Testing ImportLines Method 00:08:00 Importing MTexts into AutoCAD - Overview 00:01:00 Creating the ImportMTexts Method 00:11:00 Creating ImportMTexts User Interface 00:02:00 Running and Testing ImportMTexts Method 00:02:00 Importing Polylines from Excel File into AutoCAD - Overview 00:01:00 Creating the ImportPolylines Method 00:14:00 Creating ImportPolylines User Interface 00:02:00 Running and Testing ImportPolylines Method 00:03:00 Importing Blocks (without Attributes) from Excel File into AutoCAD - Overview 00:01:00 Creating the ImportBlocks Method 00:09:00 Creating the ImportBlocks User Interface 00:02:00 Running and Testing ImportBlocks Method 00:03:00 Importing Blocks (with Attirubtes) from Excel File into AutoCAD - Overview 00:01:00 Creating the ImportBlocksWithAttributes Method 00:25:00 Creating the UI for ImportBlocksWithAttributes Method 00:04:00 Running and Testing ImportBlocksWithAttributes Method 00:03:00 Section 04: Exporting AutoCAD Objects to a File Exporting Lines to a File - Overview 00:02:00 Creating the ExportToFile Utility Class 00:04:00 Creating ExportLinesToFile Method 00:14:00 Creating the UI for ExportLinesToFile Method 00:08:00 Running and Testing ExportLinesToFile Method 00:02:00 Exporting MTexts to File - Overview 00:01:00 Creating the MTextToFile Method 00:06:00 Creating the UI for the ExportMTextToFile Method 00:01:00 Running and Testing ExportMTextToFile Method. 00:08:00 Exporting Polylines to File - Overview 00:02:00 Creating ExportPolylinesToFile Method 00:11:00 Exporting Polylines to File - User Interface 00:01:00 Running and Testing ExportPolylinesToFile Method 00:02:00 Exporting Blocks (without Attributes) to File - Overview 00:02:00 Creating the ExportBlocksToFile Method 00:11:00 Creating ExportBlocksToFile User Interface 00:02:00 Running and Testing ExportBlocksToFile Method 00:02:00 Exporting Blocks (With Attributes) to a File - Overview 00:02:00 Creating the EXportBlocksWithAttributesToFile Method 00:19:00 Creating the UI for ExportBlocksWithAttributesToFile Method 00:06:00 Coding the BlocksForm for ExportBlocksWithAttributeToFile Method 00:04:00 Running and Testing ExportBlocksWithAttributesToFile Method 00:03:00 Section 05: Importing Text File into AutoCAD Importing Text File into AutoCAD - Overview 00:01:00 Importing Lines from a Text File into AutoCAD - Overview 00:02:00 Creating the ImportFileUtil Class 00:01:00 Creating the ImportLinesMethod 00:17:00 Creation of ImportLines User Interface 00:03:00 Coding the ImportLines UI button 00:05:00 Running and Testing the ImportLines Method 00:04:00 Importing MTexts from Text File into AutoCAD - Overview 00:02:00 Creating the ImportMTexts Method 00:09:00 Creating the TextStyle Manipulation Code 00:02:00 Creating the UI for the ImportMTexts Method 00:01:00 Running and Testing the ImportMTexts Method 00:04:00 Importing Polylines from a Text File into AutoCAD - Overview 00:02:00 Creating the ImportPolylines Method 00:18:00 Creating the ImportPolylines UI 00:02:00 Running and Testing ImportPolylines (from a File) Method 00:02:00 Importing BLocks (without Attributes) from a Text File into AutoCAD - Overview 00:02:00 Creating the ImportBlocks (without Attributes) Method 00:15:00 Creating the ImportBlocks UI 00:05:00 Running and Testing ImportBlocks (without Attributes) Method 00:04:00 Importing Blocks (with Attributes) from a Text File into AutoCAD - Overview 00:02:00 Creating the ImportBlocksWithAttributes from a File Method 00:24:00 Creating the ImportBlocksWithAttributes (from a File) UI (Part 1) 00:06:00 Creating the ImportBlocksWithAttributes (from a File) UI (Part 2) 00:04:00 Running and Testing ImportBlocksWithAttributes (from a File) Method 00:03:00

Register on the Coding with Python 3 today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The Coding with Python 3 is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Coding with Python 3 Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Coding with Python 3, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.  Course Content Module 01: Introduction and Setup Introduction 00:03:00 Why is Python 3 worth learning 00:04:00 Installing Python 3 on Windows 00:08:00 Installing Python 3 on Ubuntu and Mac 00:08:00 Taking a closer look at Python 3 IDLE 00:05:00 Module 02: Python Programming Basics Math operators 00:12:00 Strings 00:08:00 Variables and variable naming rules 00:11:00 Our first program 00:12:00 Type, len, str, int, float, functions 00:09:00 True or false Boolean 00:10:00 If-statement 00:05:00 If and else 00:13:00 Using elif for multiple statements.mp4 00:09:00 While loop 00:16:00 Infinite loops with break 00:07:00 Using continue in a loop.mp4 00:06:00 For Loop 00:10:00 Importing Python libraries 00:12:00 Module 03: Functions- Coding Exercises Defining functions in Python 3 00:15:00 Local and global variables 00:10:00 Coding guess the number program 00:16:00 Reverse a string function 00:07:00 Calculate area of a circle program 00:11:00 Simple Python calculator 00:15:00 Removing vowels from string program 00:13:00 Find the largest number out of three 00:16:00 Module 04: Lists, Tuples and Dictionaries Python lists 00:15:00 Creating smaller lists out of a bigger one 00:09:00 Manipulating lists and elements 00:08:00 Append, insert, remove, sort 00:11:00 Tuples 00:13:00 Introduction to dictionaries 00:10:00 Values, keys, items, get 00:08:00 Dictionary comprehension part 1 00:08:00 Dictionary comprehension part 2.mp4 00:07:00 Advanced string manipulation 00:12:00 Upper, lower, isupper, islower 00:09:00 Split, strip, join, startswith, endswith 00:13:00 Module 05: Files in Python 3 Navigating through system with OS library 00:29:00 Reading and writing to files 00:16:00 Reversing text from a file 00:17:00 Module 06: Error Handling Try and except 00:13:00 Try and finally 00:15:00 Module 07: Object Oriented Programming Classes 00:22:00 Changing class attributes 00:10:00 Built in class attributes 00:08:00 Using your class in a different program 00:05:00 Using your class in a program 00:26:00 Implementing students count option 00:05:00 Class inheritance 00:12:00 Overriding methods in a class 00:08:00 Module 08: Date & Time Printing and calculating date and time 00:30:00 Different date formats 00:09:00 Module 09: Regular Expressions Extracting useful data 00:23:00 Regex part 1 00:23:00 Regex part 2 00:17:00 Module 10: Interacting with HTTP Performing HTTP GET requests 00:20:00 Performing POST requests 00:04:00 Handling website redirections 00:03:00 BeautifulSoup 00:29:00 Encoding in requests 00:11:00 Session objects and cookies 00:21:00 SSL certificate, authentication, etc 00:21:00 JSON library and proxies 00:21:00 Module 11: Networking in Python 3 Socket terminology 00:09:00 Connecting two machines 00:21:00 Coding a chat program 00:35:00 Receiving desired amount of data 00:20:00 Socket timeout and options 00:08:00 UDP server and client 00:13:00 AF_UNIX and raw_sockets 00:14:00 Module 12: Threading Introduction to threading part 1 00:28:00 Introduction to the threading part 2 00:22:00 Theory behind threaded server 00:15:00 Module 13: E-mails, PDFs, Images Sending emails using smtplib 00:32:00 PDF files 00:11:00 Images in Python 3 00:16:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

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Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science. 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's Next 00:01:00 R and RStudio Engine and Coding Environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A Quick Tour 00:04:00 Introduction to Basics Arithmetic With R 00:03:00 Variable Assignment 00:04:00 Basic data types in R 00:03:00 Vectors Creating a Vector 00:05:00 Naming a Vector 00:04:00 Arithmetic Calculations On Vectors 00:07:00 Vector selection 00:06:00 Selection By Comparison 00:04:00 Matrices What's a Matrix 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding Columns and Rows To a Matrix 00:06:00 Selection of Matrix Elements 00:03:00 Arithmetic with Matrices 00:07:00 Factors What is Factor 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Data Frames What's a Data Frame 00:03:00 Creating a Data Frame 00:04:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Lists Why Would You Need Lists 00:01:00 Creating Lists 00:03:00 Selecting Elements From a List 00:03:00 Adding more data to the list 00:02:00 Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Logical Operators AND, OR, NOT Operators 00:04:00 Logical Operators with Vectors and Matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators Together 00:06:00 Conditional Statements The IF Statement 00:04:00 IF…ELSE 00:03:00 The ELSEIF Statement 00:05:00 Full Exercise 00:03:00 Loops Write a While Loop 00:04:00 Looping With More Conditions 00:04:00 Break: Stop the While Loop 00:04:00 What's a For Loop 00:02:00 Loop Over a Vector 00:02:00 Loop Over a List 00:03:00 Loop Over a Matrix 00:03:00 For Loop With Conditionals 00:01:00 Using Next and Break With For Loop 00:03:00 Functions What is Function 00:02:00 Arguments Matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing Own Functions 00:03:00 Functions With No Arguments 00:02:00 Defining Default Arguments In Functions 00:04:00 Function Scoping 00:02:00 Control Flow in Functions 00:03:00 R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different Ways To Load a Package 00:02:00 The Apply Family - Lapply What Is Lapply and When Is Used. 00:04:00 Use Lapply With User-Defined Functions 00:03:00 Lapply and Anonymous Functions 00:01:00 Use lapply With Additional Arguments 00:04:00 The Apply Family - Sapply & Vapply What is Sapply 00:02:00 How to Use Sapply 00:02:00 Sapply With Your Own Function 00:02:00 Sapply With a Function Returning a Vector 00:02:00 When Can't sapply Simplify. 00:02:00 What is Vapply and Why is it Used. 00:04:00 Useful Functions Mathematical Functions 00:05:00 Data Utilities 00:08:00 Regular Expressions Grepl & Grep 00:04:00 Metacharacters 00:05:00 Sub & Gsub 00:02:00 More Metacharacters 00:04:00 Dates And Times Today and Now 00:02:00 Create and Format Dates 00:06:00 Create and Format Times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Getting and Cleaning Data Get and Set Current Directory 00:04:00 Get Data From the Web 00:04:00 Loading Flat Files 00:05:00 Loading Excel files 00:03:00 Plotting Data in R Base Plotting System 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Data Manipulation With dplyr Introduction to Dplyr Package 00:04:00 Using the Pipe Operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns Component: Mutate() 00:02:00 Columns Ccomponent: Relocate() 00:02:00 Rows Component: Filter() 00:01:00 Rows Component: Slice() 00:04:00 Rows Component: Arrange() 00:01:00 Rows Component: Rowwise() 00:02:00 Grouping of Rows: Summarise() 00:03:00 Grouping of Rows: Across() 00:02:00 COVID-19 Analysis Task 00:08:00 Supplementary Resources Supplementary Resources - Learning R Programming for Data Science 00:00:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently

This video course will prepare you to take and pass the CompTIA IT Fundamentals (ITF+) certification (FC0-U61) exam confidently by helping you get to grips with all the major domains covered in the certification and enabling you to develop the skills required to set up, configure, and secure desktop PC, mobile, and networking devices.