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Learning Outcomes Get an introduction to Python programming Know how to do conditional branching with Python Deepen your knowledge of importing external/internal libraries in Python Learn about project rock, paper and scissors as well as strings operation, time and date in Python Acquire more knowledge about data storage structures, tuples, lists and dictionary Enhance your understanding of import tricks, import operating systems and platforms and exception handling in Python Learn how to instal Packages and Scheduling in Python Description Python is a highly multi-purposeful still easy-to-understand programming language, which is why it is more adaptable all over the world. Whether to make a web application in data science, software engineering, mobile app development, or artificial intelligence - every industry uses Python to accomplish its work. Therefore, if you are planning to pursue a career in these sectors, develop your Python skills with the Diploma In Python Programming course. We made this course with an aim of enhancing your programming language skills in Python and making you job ready. Therefore, this course includes some easy-to-digest modules on topics such as - conditional branching with Python, writing user functions in Python, file handling, reading and writing using Python and many more. Moreover, we will introduce you to the procedure of data storage structures, tuples, lists and dictionaries through Python. Further topics will be discussed in the modules for which you need to enrol in our comprehensive course. So, join this course now to acquire the exclusive knowledge of Python and a CPD certificate of achievement after completing this course. 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 After completing this course, you will be provided with some assessment questions. To pass that assessment you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career path After finishing this course you will get the expertise to aim for a career in the following positions: Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst Course Content Unit 01: Introduction to Python Programming Module 01: Course Introduction 00:02:00 Unit 02: Getting Started with Python Module 01: Software Installation 00:02:00 Module 02: Hello World Program 00:06:00 Module 03: Input and Output 00:07:00 Module 04: Calculating Average of 5 Numbers 00:03:00 Unit 03: Conditional Branching with Python Module 01: If Loop In Python 00:06:00 Module 02: Program Using If Else part 1 00:03:00 Module 03: Program Using If Else part 2 00:08:00 Module 04: Program for Calculator 00:02:00 Module 05: Program Using For Loop 00:08:00 Module 06: For Table 00:05:00 Module 07: For loop and Mathematical Operator in Python 00:04:00 Module 08: Factorial of Number Using Python 00:06:00 Module 09: Program Using While 00:05:00 Module 10: While Loop Example 00:07:00 Module 11: Tasks for Practice 00:02:00 Unit 04: Importing external/internal library in python Module 01: Importing Library in Python 00:07:00 Unit 05: Project Rock Paper and Scissors Module 01: Rock Paper and Scissor Game 00:06:00 Unit 06: Strings Operation in Python Module 01: Program Using String part 1 00:05:00 Module 02: Program using String 2 00:06:00 Module 03: Program Using String 3 00:06:00 Module 04: Program Using String part 4 00:03:00 Unit 07: Date and time in Python Module 01: Use of Date and Time part 1 00:05:00 Module 02: Use of Date and Time part 2 00:05:00 Unit 08: File Handling, read and write using Python Module 01: File Handling Part 1 00:08:00 Module 02: File Handling Part 2 00:07:00 Unit 09: Data Storage Structures, Tuple, List and Dictionary Module 01: Tuple in Python Part 1 00:10:00 Module 02: Tuple in Python Part 2 00:07:00 Module 03: Using Lists part 1 00:07:00 Module 04: Using List part 2 00:12:00 Module 05: Using Lists part 3 mm 00:06:00 Module 06: Using Lists part 4 00:08:00 Module 07: Using Lists part 5 00:02:00 Module 08: Use of Dictionary Part 1 00:04:00 Module 09: Use of Dictionary Part 2 00:05:00 Module 10: Use of Dictionary Part 3 00:08:00 Module 11: Use of Dictionary Part 4 00:07:00 Unit 10: Writing user functions in Python Module 01: Function in Python Part 1 00:06:00 Module 02: Function in Python Part 2 00:05:00 Module 03: Function in Python Part 3 00:04:00 Module 04: Function in Python Part 4 00:07:00 Module 05: Function in Python Part 5 00:08:00 Unit 11: Sending mail Module 01: Send Email 00:09:00 Unit 12: Import Tricks in Python Module 01: Import Study part 1 00:07:00 Module 02: Import Study part 2 00:03:00 Unit 13: Import Operating System and Platform Module 01: Importing OS 00:06:00 Module 02: Import Platform 00:05:00 Unit 14: Exceptions handling in python Module 01: Exception in Python part 1 00:11:00 Module 02: Exception in Python part 2 00:07:00 Module 03: Exception in Python part 3 00:05:00 Unit 15: Installing Packages and Scheduling In Python Module 01: Installing Packages using built in package manager 00:08:00 Module 02: Scheduler in Python 00:05:00 Unit 16: Data Base In Python using sqlite Module 01: Data Base 1 00:08:00 Module 02: Data Base 2 00:09:00 Module 03: Data Base 3 00:08:00 Module 04: Data base 4 00:07:00 Module 05: Data Base 5 00:06:00 Unit 17: Running Program from Command Prompt and jupyter Notebook Module 01: IDE_1 00:05:00 Module 02: IDE_2 00:07:00 Unit 18: Conclusion Module 01: Conclusion 00:02:00 Resources Resources - Diploma in Python Programming 00:00:00 Recommended Materials Workbook - Diploma in Python Programming 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00

So, the Project Manager's Starter Kit features our Project Management Fundamentals course. Four straightforward videos built around the same four-stage as all our core programs. Take a look...

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Advance the future of learning with the Javascript with Coding, HTML, & CSS Training Course bundle, a comprehensive, complete collection of 20 courses. Each course in the Javascript with Coding, HTML, & CSS Training Course bundle has been handpicked by our experts to provide a broad range of learning opportunities. Together, these modules form an important and well-rounded learning experience. Our mission is to deliver high-quality, accessible education for everyone. Whether you are starting your career, switching industries, or enhancing your professional skills, the Javascript with Coding, HTML, & CSS Training Course bundle offers the flexibility and convenience to learn at your own pace. Make the Javascript with Coding, HTML, & CSS Training Course package your trusted partner in your lifelong learning journey. CPD 200 CPD hours / points Accredited by CPD Quality Standards Who is this course for? 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Overview This comprehensive course on Web Design in Affinity Designer will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Web Design in Affinity Designer comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Web Design in Affinity Designer. It is available to all students, of all academic backgrounds. Requirements Our Web Design in Affinity Designer is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 26 sections • 87 lectures • 07:29:00 total length •Introduction to the course: 00:02:00 •What is Affinity Designer and how to set it up for web design?: 00:03:00 •Affinity Designer's web design abilities: 00:09:00 •First 5 principles of good web design: 00:04:00 •The remaining 5 principles of good web design: 00:05:00 •The most important factor to consider before choosing colours: 00:04:00 •Mix colours for the best possible User Experience: 00:05:00 •Choose the 'psychologically right' colours: 00:05:00 •Easy tools for choosing errorproof colour schemes: 00:07:00 •A super short history of web typography: 00:03:00 •Choose the right fonts for body text: 00:05:00 •Choose the right fonts for headings: 00:04:00 •Mix fonts for headings and body text: 00:04:00 •The perfect font for User Interface design: 00:03:00 •Header, branding, navigation and Hero sections.: 00:04:00 •The centre and bottom sections of your website design: 00:04:00 •What are grids and how to use them: 00:03:00 •Design your very own grid: 00:04:00 •1-7 web design trends that rule the web design world: 00:09:00 •Where to find the RIGHT inspiration for your next design: 00:02:00 •Every website design needs scaffolding: 00:03:00 •Building your wireframe in Designer: 00:05:00 •Continue building the library: 00:10:00 •Use the assets to create a wireframe: 00:11:00 •Wireframing online: 00:04:00 •Talk about images and icons: 00:06:00 •Create font styles in Affinity Designer: 00:04:00 •The Design Part Overview: 00:06:00 •Create the Colour Swatches: 00:04:00 •Create the Text Styles: 00:08:00 •Take a Look at the Icons and Images: 00:03:00 •Start with Creating the Logo: 00:03:00 •Build the Menu Links: 00:04:00 •Add the Social Media Icons: 00:07:00 •Start by Adding the Main Image: 00:07:00 •Quickly Resize the Image: 00:03:00 •Make the Image a Bit Darker: 00:03:00 •Add the Main Text: 00:05:00 •Add the Slider Navigation: 00:04:00 •Start Creating the First Featured Section: 00:04:00 •Add the Featured Items: 00:10:00 •Add the Second Featured Item Section: 00:06:00 •Start Creating the Blog Section: 00:08:00 •Replace the Images: 00:03:00 •Start Building the Image Gallery: 00:07:00 •Create the First Column of the Footer: 00:04:00 •Finish the Design and the Whole Footer: 00:04:00 •Discover the Wireframe for the Design: 00:06:00 •Discover the Blog Design: 00:06:00 •Take a Look at Our Assets: 00:06:00 •Create the Logo and Nav: 00:08:00 •Add the Social Media Icons: 00:07:00 •Add the First Images: 00:07:00 •Add the Shading to the Images: 00:08:00 •Add the Navigation Buttons: 00:05:00 •Create a Container the Blog Post: 00:05:00 •Add the First Pieces of Text: 00:04:00 •Add the Remaining Pieces of Text: 00:06:00 •Start Creating the Blog Post Grid: 00:06:00 •Create the First Blog Post Card: 00:05:00 •Add the Remaining Cards: 00:07:00 •Add the Older Post Link: 00:04:00 •Explore the Sidebar Project: 00:03:00 •Create the Search Box: 00:04:00 •Create the About Me Section: 00:07:00 •Create the Text Section of the Sidebar: 00:05:00 •Create the First Container for the Most Popular Posts: 00:04:00 •Create the List of the Most Popular Blog Posts: 00:07:00 •Create the Ads Section: 00:03:00 •Start Creating the Footer: 00:04:00 •Explore Different Footer Concepts: 00:03:00 •Finish Creating the Footer: 00:07:00 •Explore the Single Post Design: 00:03:00 •Create the Featured Image and the Post Container: 00:06:00 •Add the Blog Post Title: 00:06:00 •Add the Paragraphs and Images: 00:10:00 •Add the Social Media Icons: 00:07:00 •Add the pre-Next Post Navigation: 00:08:00 •Add the Related Posts Section: 00:07:00 •Start Creating the Comments Section: 00:05:00 •Create the Texts for the Comments: 00:06:00 •Create the Post Comment Form: 00:09:00 •Delivering the design to the client: 00:04:00 •Delivering the file to the developer: 00:03:00 •Use the Export Persona to Export the Assets in Bulk: 00:02:00 •Thanks for Watching the Course: 00:01:00 •Assignment - Web Design in Affinity Designer: 00:00:00

Course Overview: About 87% of global consumers use at least one computer or device to access the internet daily. Mastering the essentials of computer and the internet is crucial in today’s digital age. The Learning Computer and Internet Level 2 course provides an in-depth exploration of computer systems, internet functionalities, and software applications, offering you the knowledge to navigate the digital world with ease. This course covers a wide range of computer-related topics, from fundamental operating systems and hardware to advanced concepts like cybersecurity and data protection. With engaging, interactive content, you’ll gain practical skills and insights that enhance your computer proficiency and digital competence. Embark on an enlightening journey through the digital landscape. Enrol in Learning Computer and Internet Level 2 today and elevate your computer skills to thrive in a connected world! Key Features of the Course: FREE Learning Computer and Internet Level 2 CPD-accredited certificate Get a free student ID card with Learning Computer and Internet Level 2 training (£10 applicable for international delivery) Lifetime access to the Learning Computer and Internet Level 2 course materials The Learning Computer and Internet Level 2 program comes with 24/7 tutor support Get instant access to this Learning Computer and Internet Level 2 course Learn Learning Computer and Internet Level 2 training from anywhere in the world The Learning Computer and Internet Level 2 training is affordable and simple to understand The Learning Computer and Internet Level 2 training is entirely online Who is This Course For? This course is designed for individuals seeking to build upon foundational knowledge of computer and the internet. Whether a student, professional, or enthusiast, this course will elevate your proficiency. Learning Outcome Grasp the intricacies of various operating systems and their configurations. Understand the diverse range of applications and their functionalities. Navigate through storage solutions, network components, and software tools. Comprehend the concept of licensing and its implications. Become adept in word processing, spreadsheets, and creating presentations. Learn the terminologies of networking, ensuring smooth connectivity. Safeguard yourself online and understand the fundamentals of digital security. Acquire skills to use browsers, e-mails, and collaborative platforms effectively. Why Enrol in This Course: Enrolling in "Learning Computer and Internet Level 2" is your gateway to a world of opportunities and possibilities. You will develop essential skills in high demand across various industries, making you a valuable asset in the job market. Our course is top-reviewed, recently updated to reflect the latest trends, and aligns with the evolving digital landscape, ensuring you stay ahead in the digital race. Requirements: Enrolling in this Learning Computer and Internet Level 2 course requires a basic understanding of computer usage. No prior technical knowledge is needed, making it accessible to beginners and those looking to refresh their skills. Career Path: Upon completing this Learning Computer and Internet Level 2 course, you'll be well-equipped to pursue various professions in the digital domain. Here are seven course-related professions in the UK, along with their average salaries: IT Support Specialist: £25,000 - £40,000 per year Data Entry Clerk: £18,000 - £25,000 per year Digital Marketing Assistant: £20,000 - £30,000 per year Office Administrator: £18,000 - £25,000 per year Cybersecurity Analyst: £30,000 - £50,000 per year Web Developer: £25,000 - £45,000 per year Database Administrator: £30,000 - £50,000 per year Certification: Upon completing the Learning Computer and Internet Level 2 course, learners will be awarded a CPD certificate, validating their enhanced knowledge of computer and the Internet. Course Curriculum 6 sections • 81 lectures • 22:23:00 total length •What is an Operating System: 00:48:00 •Configuring the Operating System: 00:06:00 •What is an Application: 00:10:00 •Using Control Panel: 00:18:00 •Hardware and Peripherals: 00:07:00 •Storage: 00:12:00 •Connectivity Devices: 00:05:00 •Network Components: 00:09:00 •Software and Concepts: 00:11:00 •Licensing: 00:06:00 •Using Software: 00:07:00 •Software Tools: 00:10:00 •Software: 00:14:00 •Hardware, Devices, and Peripherals: 00:05:00 •Backup and Restore: 00:03:00 •Application Features: 01:21:00 •Working with Word Processing: 00:44:00 •Working with Spreadsheets: 00:49:00 •Making a Presentation: 01:08:00 •Databases: 00:34:00 •Collaboration: 00:03:00 •Course Introduction: 00:02:00 •Web Browsers: 00:46:00 •Networking Terminology: 00:35:00 •E-mail: 00:38:00 •Communicating in the Modern World: 00:14:00 •Protecting Yourself: 00:15:00 •Web Searching: 00:31:00 •Protecting Yourself: 00:31:00 •Identify Components of a Personal Computer IPU: 00:08:00 •Sign In to Windows 8: 00:07:00 •Signing In to Windows 8 and Managing Tiles: 00:08:00 •Navigate the Start Screen: 00:18:00 •Using the Account ID Menu: 00:02:00 •Access and Identify the Charms: 00:03:00 •Viewing the Charms: 00:02:00 •Modern Apps and Common Navigation Features: 00:03:00 •Navigating a Modern App: 00:07:00 •Multitasking with Apps: 00:05:00 •Working with Multiple Apps: 00:05:00 •Navigate the Desktop IPU: 00:07:00 •Navigating The desktop: 00:07:00 •Manage Files and Folders with File Explorer IPU: 00:09:00 •Managing Files and Folders: 00:15:00 •Elements of a Desktop Window: 00:12:00 •Working with the Elements of a Desktop Window: 00:10:00 •Creating and Modifying Files with Wordpad: 00:14:00 •Printing a Document: 00:05:00 •Navigate Internet Explorer 10: 00:08:00 •Navigating Internet Explorer 10: 00:09:00 •Browse the Web: 00:12:00 •Using Internet Explorer and Share: 00:08:00 •Customize the Start Screen: 00:07:00 •Creating Groups on the Start Screen: 00:03:00 •Changing PC Setting: 00:07:00 •Customize the Desktop IPU: 00:09:00 •Personalizing the Desktop: 00:11:00 •Set Privacy Levels and Passwords: 00:05:00 •Changing Your Password: 00:05:00 •Use Windows Defender IPU: 00:05:00 •Changing Windows Defender Settings: 00:06:00 •Store and Share Files with SkyDrive: 00:03:00 •What Makes Windows 10 Different?: 00:14:00 •Primary Feature Overview: 00:14:00 •Navigating and Using Windows 10: 00:36:00 •Course Overview: 00:13:00 •Types of Security Threats: 00:29:00 •Social Engineering: 00:30:00 •Identity Theft: 00:29:00 •Data Classification: 00:28:00 •Types of Classifications: 00:18:00 •Protecting Your Digital Information: 00:45:00 •Password Management: 00:13:00 •Malware: 00:17:00 •Software Detection: 00:28:00 •Security from End-to-End: 00:26:00 •Secure E-mail Use: 00:21:00 •Secure Web Browsing: 00:29:00 •Piracy: 00:16:00 •Security Policies: 00:18:00 •Moving Forward: 00:12:00

ADO.NET training course description This ADO.net training course is designed to enable developers to use the toolset provided with.NET for data access including ADO.net objects, data controls, designers and interoperability with earlier ADO objects. The course is applicable for those using C# or VB.NET with ADO.NET What will you learn Retrieve and manipulate data using Microsoft's ADO.NET library. Work with the ADO.NET object model. Update data, including handling stored procedures, parameters, and return value. Search, sort and filter data. Leverage the power of XML. ADO.NET training course details Who will benefit: Programmers working with ADO.Net. Prerequisites: Effective programming with VB.NET or Concise introduction to C# Duration 2 days ADO.NET training course contents Introducing ADO.Net Traditional Data Access Architecture. ADO.Net Disconnected Data Access Architecture. Different components of ADO.Net. A review of basic SQL queries SQL SELECT Statement. SQL INSERT Statement. SQL UPDATE Statement. SQL DELETE Statement. Common data access tasks with ADO.Net Accessing Data using ADO.Net. Defining the connection string. Defining a Connection. Defining the command or command string. Defining the Data Adapter. Creating and filling the DataSet. A Demonstration Application The Interface. Loading the table. Filling the controls on the Form. Navigating through the records. Updating Data Steps for updating the table. Building the Application. Loading the table and displaying data in the form's controls. Initialising Commands. Adding Parameters to the commands. The ToggleControls() method of our application. Editing (or Updating) Records. Event Handler for the Save Button. Event Handler for the Cancel Button. Inserting Records. Deleting a Record. Using Stored Procedures Sample Stored Procedures. UPDATE Stored Procedure. INSERT Stored Procedure. DELETE Stored Procedure. SELECT Stored Procedure. Using Stored Procedures with ADO.Net.

Embark on a coding odyssey like no other with our course, 'Start Learning Arduino without Writing a Single Line of Code.' Imagine a journey where the intricacies of Arduino unfold effortlessly, without the need for complex coding. From the basics of Arduino and embedded systems to the installation of ArduinoBlockly, this course revolutionizes learning by offering a code-free approach. Visualize yourself effortlessly interfacing LEDs, switches, buzzers, and even mastering advanced concepts like pulse width modulation and ultrasonic distance sensing. Each module is a gateway to a new project, from traffic light controllers to digital thermometers, all achieved without a single line of code. This course is not just an introduction; it's an invitation to witness the magic of Arduino without the constraints of traditional coding barriers. Learning Outcomes Attain a profound understanding of Arduino basics and embedded systems without the need for traditional coding syntax. Master the installation and program downloading process using ArduinoBlockly and Arduino IDE. Acquire hands-on experience in interfacing LEDs, switches, buzzers, and tri-color LEDs, realizing projects like chasers and traffic light controllers without writing a single line of code. Explore advanced concepts such as serial communication, ADC, pulse width modulation, ultrasonic distance sensing, and servo motor interfacing, unlocking a world of possibilities without coding complexities. Gain the ability to create functional projects, including digital thermometers, water level indicators, and servo-based angular control, utilizing a code-free approach. Why choose this Start Learning Arduino without Writing a Single Line of Code course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments 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. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Start Learning Arduino without Writing a Single Line of Code for? Coding beginners and enthusiasts eager to explore Arduino without delving into traditional programming. Students and hobbyists looking for a hands-on, code-free introduction to embedded systems. DIY enthusiasts intrigued by the prospect of building innovative projects without the complexities of coding. Technology enthusiasts interested in mastering Arduino interfaces, sensors, and advanced concepts without traditional coding barriers. Anyone seeking a creative and accessible entry point into the world of Arduino and embedded systems. Career path Arduino Specialist: £25,000 - £40,000 Electronics Technician: £20,000 - £35,000 Embedded Systems Technician: £22,000 - £38,000 IoT Device Developer: £28,000 - £45,000 Automation Engineer: £30,000 - £50,000 Electronics Design Assistant: £23,000 - £38,000 Prerequisites This Start Learning Arduino without Writing a Single Line of Code does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Start Learning Arduino without Writing a Single Line of Code 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 Introduction To Arduino Introduction To Course 00:01:00 Introduction to Embedded System and Arduino 00:04:00 Arduino Basics 00:09:00 Difference between C Syntax of Arduino and C Coding 00:10:00 Arduino And Ardublockly Installation And Program Downloading Arduino IDE and ArduinoBlockly Installation 00:10:00 Writing Program into ArduioBlockly and downloading on Board 00:11:00 Program Downloading using Arduino IDE 00:05:00 Arduino Interfaces Breadboard 00:08:00 LEDs LED Interfacing 00:11:00 Project 1: All LED Blinking 00:01:00 Project 2: Alternate LED Blinking 00:01:00 Project 3: Four LEDs ON - OFF 00:01:00 Project 4: Chaser 00:01:00 Ten Times LED Blinking 00:01:00 Switches Switch Interfacing 00:11:00 Project 6: LED and Switch Program 00:02:00 Project 7: Two LEDs and Two Switches Program 00:02:00 Buzzer Buzzer 00:03:00 Project 8: Buzzer Programming 00:01:00 Project 9: Buzzer and LED Program 00:01:00 Tri Color LED Tri-Color LED 00:05:00 Project 10: Tri-Color LED Based Red, Green, Blue Color Generation 00:01:00 Project 11: Tri Color LED Based Yellow, Cyan and Magenta Color Generation 00:01:00 Project 12: Traffic Light Controller 00:01:00 Project 13: Tri Color LED and Switch Based Color Generation 00:02:00 Seven Segment Display Seven Segment Display Interfacing 00:07:00 Project 14: Up Counter Using Seven Segment Display 00:04:00 Serial Communication Introduction Serial Communication 00:13:00 Project 15: Printing a Message into Monitor Window 00:01:00 Project 16: Message Reading Using Serial Communication 00:01:00 Project 17: Device Control 00:03:00 ADC And Analog Sensors ADC concepts 00:17:00 Project 18: Digital Thermometer 00:02:00 Project 19: Digital Voltmeter 00:02:00 Project 20: Digital Light Meter 00:01:00 Project 21: Temperature Controller 00:01:00 Pulse Width Modulation In Arduino Introduction To Pulse Width Modulation and its Concepts 00:12:00 Project 22: LED Fading 00:01:00 Ultrasonic Distance Sensing Ultrasonic Sensor concept 00:14:00 Project 23: Distance Meter 00:02:00 Project 24: Water Level Indicator 00:01:00 Servo Motor Interfacing Servo Interfacing with Arduino 00:15:00 Project 25: Servo Based Angular Control 00:01:00 Conclusion Conclusion 00:01:00

Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies

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

This course will take you through the basic and advanced concepts of Linux. You will become familiar with shell scripting, file and user management, data streams, and Linux networking with the help of many interesting activities.