This beginner's course exclusively delivers Python programming from basic to advanced. You will learn Python concepts in real-life programming examples by building real-world applications. Learn the syntax of Python language and understand the logic behind the programming process to create your Python programs successfully and master Python coding.
Description Are you interested to learn how to build user interface? Do you work as a user interface designer? If so, take a look at our React 16 and Redux Training course. Its precise contents will help you in understanding all you need to know about React 16 and Redux effectively. React 16 is an updated JavaScript library works to build user interface in different stage. It provides you with effective mental model so that you can build astonishing user interface efficiently. The React 16 and Redux Training course is designed to teach you the basic functions of React 16. It instructs you how to develop apps providing the knowledge with portals, context API, errors boundaries, and the use of less code to write. The course also introduces you to the important features of React such as user-friendly DOM to build UI design, different algorithm to test without starting a headless browser, and different framework for the development. However, the aim of the course is to teach you the core concepts of React to make you an efficient UI designer. Assessment: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? React 16 and Redux Training is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our React 16 and Redux Training is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Getting Started VS Code Setup FREE 00:03:00 How to get source code for each lecture 00:01:00 Create React App using create-react-app cli 00:02:00 Creating Nested React Elements 00:08:00 Creating Nested Elements in React 00:08:00 How React uses React Elements to Create Virtual DOM 00:01:00 What is DOM 00:03:00 What is Virtual DOM 00:05:00 Create Nested Components in React 00:05:00 Creating Components in React 00:06:00 Adding Props Validations in React Component 00:03:00 Create Nested Components in React 00:05:00 Create State in React Component 00:08:00 Update State using events and custom methods 00:08:00 Iterate Array and render the components 00:06:00 Pass function as props from Parent to Child Componenty 00:09:00 Convert React Components to JSX 00:09:00 Module Summary 00:01:00 Data Flow in React Components State in React Component 00:05:00 Shallow Merging with setState 00:06:00 Use props, PropTypes and defaultProps in React Component 00:06:00 Communicate with Parent and Child Component 00:07:00 Module Summary 00:01:00 Component LifeCycle Methods in React What are LifeCycle Methods in React Component 00:01:00 Types and Phases of LifeCycle Methods 00:04:00 LifeCycle Mounting Methods in Action 00:09:00 LifeCycle Updating Methods in Action 00:07:00 Error Handling with componentDidCatch 00:08:00 Hacker news App - Building Components Setup React Application 00:03:00 Add Bootstrap to React Application 00:01:00 Create Mock Restful API with Json-Server 00:07:00 Send HTTP Request in React using axios 00:06:00 Iterate Array and render the components 00:06:00 Add Bootstrap Card to render List Items 00:07:00 Creating Header Component 00:06:00 Error Handling with Custom ErrorMessage Component 00:07:00 Adding Loading Spinner 00:04:00 React Context API Introduction to React Context API 00:04:00 React Context API in Action 00:16:00 Create Reducer to update the State in React Context 00:09:00 Create new Action to Handle Errors 00:02:00 Working with Forms in React Creating Controlled Component 00:03:00 Adding State to the Form 00:06:00 Save new record by sending Http Request 00:14:00 Creating Reusable Component for Input FormControl 00:07:00 Adding Form Validations in React and Bootstrap 00:08:00 Add Routing in React using React-Router Add Link Navigations using React-Router 00:04:00 Redirect after submitted new Record 00:01:00 Creating NotFound Component 00:02:00 Creating new Component to Edit the Record 00:14:00 State Management with Redux Setting up Redux into React application 00:10:00 Connect React Component to Redux 00:07:00 Delete the Record from the ReduxStore 00:07:00 Add Record to ReduxStore 00:05:00 Consuming Http Rest API using Async Action Creators Create Async Action to fetch records from the API 00:07:00 Create Async Action to delete records from the API 00:01:00 Create Async Action to add new Record 00:01:00 Async Action to fetch single record 00:09:00 Async Action to update the Link 00:04:00 Integrating React and Redux with Firebase Creating Database on Firebase 00:04:00 Fetching data from firebase collection in react component 00:12:00 Delete document from firebase collection with react 00:04:00 Add document in firebase collection with react 00:03:00 Update document from firebase collection 00:12:00 Firebase Authentication with React and Redux User Registration in React and Firebase 00:09:00 Logout User 00:15:00 User Login with Firebase and React 00:04:00 Apply Authentication on private Routes 00:07:00 Display error notification in React 00:06:00 Deploy React Application to Firebase 00:05:00 Bonus: ES6 crash course var scoping 00:04:00 understanding let 00:01:00 Examples of const 00:01:00 More use cases of let and const 00:04:00 Introduction to Arrow functions 00:02:00 Examples on Arrow functions 00:03:00 Destructring Objects 00:04:00 Destructring Arrays 00:03:00 Destructring Function Arguments 00:02:00 Course Certification Order your Certificate 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
Duration 5 Days 30 CPD hours This course is intended for This course benefits individuals responsible for configuring and monitoring devices running the Junos OS. Overview After successfully completing this course, you should be able to: Describe the various OSPF link-state advertisement (LSA) types. Explain the flooding of LSAs in an OSPF network. Describe the shortest-path-first (SPF) algorithm. Describe OSPF link metrics. Describe the various OSPF authentication methods. Explain the differences between OSPFv2 and OSPFv3. Describe OSPF area types and operations. Configure various OSPF area types. Summarize and restrict routes. Configure OSPF multi-area adjacencies. Configure OSPF virtual links. Explain OSPF external reachability. List useful commands that are used to troubleshoot and verify OSPF. Isolate different OSPF issues. Describe BGP operations. Configure various BGP options. Explain the route selection process for BGP. Describe how to alter the route selection process. Explain the use of routing policies in BGP. Explain how BGP routes are processed. Describe the various BGP attributes and their use. Manipulate common BGP attributes. Review common BGP troubleshooting procedures. List common BGP troubleshooting commands. Identify issues with BGP peering. Explain reasons to use BGP in the Enterprise. Explain how ISP policies can influence external connectivity. Describe three common routing policies for external connectivity in the enterprise. Identify common commands for troubleshooting routing policy. Describe basic multicast terminology. Describe the multicast address space. Describe how RPF is used in a multicast network. Describe the basic functionality of IGMP. Describe the multicast service models and modes. Describe PIM-SM operation and configuration when using the ASM model. Describe PIM-SM operation and configuration when using the SSM model. Verify and troubleshoot multicast. Identify environments that may require a modified CoS implementation. Describe the various CoS components and their respective functions. Explain the CoS processing along with CoS defaults on SRX Series devices. Describe situations in which some CoS features are used in the enterprise. Describe the use of the Real-Time Performance Monitoring tool. Verify and troubleshoot CoS. Describe a traditional Campus network design. Understand the need for a new architectural design. Describe the five key concepts of the Evolved Core. Describe the benefits of a Layer 3-based Campus Networks. Describe Layer 2 tunneling. Explain VXLAN functionality. Describe VXLAN gateways. Describe EVPN features. Describe EVPN operations. This five-day course is designed to provide students with the tools required for implementing, monitoring, and troubleshooting Layer 3 components in an enterprise network. Chapter 1: Course Introduction Course Introduction Chapter 2: OSPF OSPFv2 Review Link-State Advertisements Protocol Operations OSPF Authentication OSPFv3 Lab 1: Configuring and Monitoring OSPF Chapter 3: OSPF Areas Review of OSPF Areas Stub Area Operation Stub Area Configuration NSSA Operation NSSA Configuration Route Summarization Lab 2: Configuring and Monitoring OSPF Areas and Route Summarization Chapter 4: Advanced OSPF Options OSPF Multi-Area Adjacencies Virtual Links External Reachability Lab 3: Configuring and Monitoring Routing Policy and Advanced OSPF Options Chapter 5: Troubleshooting Troubleshooting LSDB Consistency Issues Case Study: Adjacency Issues Lab: Troubleshooting OSPF Chapter 6: BGP Review of BGP BGP Configuration Options BGP Operations BGP Path Selection and Options Lab: Implementing BGP Chapter 7: BGP Attributes and Policy Policy and BGP BGP Attributes Details and Manipulation of Common BGP Path Attributes Lab: BGP Attributes Chapter 8: Troubleshooting BGP BGP Troubleshooting BGP Case Study Lab: Troubleshooting BGP Chapter 9: Enterprise Routing Policies Enterprise BGP Core Network Design Enterprise External Network Deployment Lab: Implementing Enterprise Routing Policies Chapter 10: Troubleshooting Policies Routing Policy Structure Using RegEx Routing Policy Troubleshooting Case Study Lab: Troubleshooting Routing Policies Chapter 11: Introduction to Multicast Overview of Multicast Multicast Addressing RPF IGMP Lab: PIM-SM Chapter 12: Multicast Routing Protocols and SSM Overview of Multicast Routing Protocols PIM-SM Using the ASM Model PIM-SM Using the SSM Model Lab: Implementing PIM-SM Lab: Implementing SSM Chapter 13: Troubleshooting Multicast Multicast Troubleshooting Multicast Case Study Lab: Troubleshooting Multicast Chapter 14: Class of Service CoS Components Review and Case Study CoS Processing and CoS Defaults on the SRX Series Device Policing Virtual Channels Monitoring with Resource Performance Monitoring Lab 9: Implementing CoS Features in the Enterprise Chapter 15: Troubleshooting Class of Service CoS Troubleshooting CoS Case Study Lab: Troubleshooting Class of Service Chapter 16: Enterprise Architectures Traditional Enterprise Networks A New Architecture Key Concepts of the Evolved Core IP Fabric Campus Design Chapter 17: VXLAN Layer 2 Connectivity over a Layer 3 Network VXLAN Overview VXLAN Gateways Chapter 18: EVPN-VXLAN Overview of EVPN EVPN Operations EVPN and VXLAN Chapter 19: Configuring EVPN-VXLAN Configuring EVPN-VXLAN Spine Only network Add IP Fabric leaf nodes to a Spine Only design Configuring a new IP Fabric EVPN-VXLAN network Chapter 20: Migrating to an IP Fabric EVPN Routes Useful EVPN Commands Appendix A: BGP Route Reflection Route Reflection Operation Configuration and Routing Knowledge Lab: BGP Route Reflection (Optional) Appendix B: Troubleshooting IS-IS IS-IS Troubleshooting Lab: Troubleshooting IS-IS and Mixed Environments Additional course details: Nexus Humans AJER - Advanced Junos Enterprise Routing training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the AJER - Advanced Junos Enterprise Routing course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.
Instagram Marketing Masterclass Course Overview: This Instagram Marketing Masterclass provides a comprehensive guide to mastering Instagram for business growth. Learners will explore strategies for building a strong brand presence, engaging with followers, and utilising Instagram's various features to drive traffic and sales. The course covers content creation, advertising, analytics, and influencer marketing. By the end, learners will be equipped with the knowledge to enhance their social media marketing skills, enabling them to optimise campaigns, increase visibility, and measure success effectively. Course Description: In this in-depth course, learners will delve into the essential elements of Instagram marketing, covering everything from setting up an effective profile to advanced advertising techniques. Key topics include developing a content strategy, understanding Instagram's algorithm, creating visually appealing posts, and leveraging Instagram Stories and Reels. Learners will also gain insights into performance analytics, helping them to assess campaign success and adjust strategies accordingly. By the end of the course, participants will have a thorough understanding of how to drive engagement and build a loyal following on Instagram, allowing them to make informed decisions that align with their business goals. Instagram Marketing Masterclass Curriculum: Module 01: Introduction to Instagram Marketing Module 02: Creating Engaging Content for Instagram Module 03: Understanding Instagram's Algorithm Module 04: Instagram Advertising and Promotions Module 05: Using Instagram Stories and Reels for Growth Module 06: Analytics and Measuring Instagram Performance Module 07: Building Your Brand and Growing Your Following Module 08: Collaborating with Influencers on Instagram Module 09: Advanced Instagram Marketing Strategies (See full curriculum) Who is this course for? Individuals seeking to enhance their social media marketing skills. Professionals aiming to elevate their brand presence online. Beginners with an interest in social media marketing. Small business owners or marketers looking to leverage Instagram. Digital marketing enthusiasts eager to understand Instagram's full potential. Career Path: Social Media Manager Digital Marketing Specialist Brand Manager Content Creator Influencer Marketing Strategist Online Marketing Consultant Community Manager
Coding (Computer Programming) Master the knowledge and skills needed to become a good programmer Coding is a cornerstone of the digital age, influencing everything from the technology we use daily to the applications we rely on. Mastering various aspects of coding and computer programming is essential for anyone looking to excel in this field. The Coding (Computer Programming) Diploma provides comprehensive training on crucial programming concepts, including binary systems, algorithm analysis, and data storage. Additionally, you will gain practical skills in arrays, linked lists, stacks, and queues. This diploma course is designed to equip you with the necessary knowledge and technical skills to become proficient in coding. Through detailed modules and hands-on practice, you’ll learn how to tackle complex problems, write efficient code, and understand fundamental computer science principles. This in-depth training ensures you are well-prepared to enter the programming industry with confidence. Embrace the opportunity to advance your coding skills and enhance your career prospects. By enrolling in the Coding (Computer Programming) Diploma, you'll position yourself for success in a competitive job market. Start your journey today and gain the expertise needed to excel as a skilled programmer. This Coding (Computer Programming) Bundle Consists of the following Premium courses: Course 01: Coding with HTML, CSS, & JavaScript Course 02: Computer Science With Python Course 03: Python Programming for Everybody Course 04: Ultimate PHP & MySQL Web Development Course & OOP Coding Course 05: Ethical Hacking Course 06: Complete Web Application Penetration Testing & Security Course 07: Diploma in PHP Web Development Course 08: Front End Web Development Diploma Course 09: SQL Server for Beginners Course 10: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 11: Level 3 Cyber Security Key Features of the Course: FREE Coding (Computer Programming) Diploma CPD-accredited certificate Get a free student ID card with Coding (Computer Programming) Diploma training (£10 applicable for international delivery) Lifetime access to the Coding (Computer Programming) Diploma course materials The Coding (Computer Programming) Diploma program comes with 24/7 tutor support Get instant access to this Coding (Computer Programming) Diploma course Learn Coding (Computer Programming) Diploma training from anywhere in the world The Coding (Computer Programming) Diploma training is affordable and simple to understand The Coding (Computer Programming) Diploma training is entirely online Learning Outcomes of Coding (Computer Programming): Gain the knowledge, skills and guidelines of coding (computer programming) Ability to do coding with HTML, CSS, Javascript & Python Learn how to create your first responsive website Get a comprehensive understanding of ethical hacking and web hacking Explore complete web application penetration testing & security Gain expertise in PHP web development & Front End web development Discover SQL Server and how it is used to manage and store information Become fully aware of Cloud Computing and why it is needed Description The Coding (Computer Programming) Diploma provides an in-depth exploration of essential programming concepts and practices. This comprehensive course covers everything from binary systems and algorithm analysis to data structures such as arrays, linked lists, stacks, and queues. With practical hands-on training, you'll develop the skills needed to tackle complex coding challenges and build efficient, effective programs. Perfect for those seeking to enhance their technical expertise or launch a career in programming, this diploma offers the foundational knowledge and practical experience required to succeed in the dynamic field of computer science. Curriculum of Coding (Computer Programming) Bundle Course 01: Coding with HTML, CSS, & JavaScript Welcome HTML 5 CSS 3 Bootstrap Project 1 - Design a Landing Page Project 2 - Business Website Project 3 - Portfolio ~~~~~Other Courses are included in this Coding (Computer Programming Training) Bundle~~~~~ Course 02: Computer Science With Python Course 03: Python Programming for Everybody Course 04: Create Your First Responsive Website Course 05: Ethical Hacking Course 06: Complete Web Application Penetration Testing & Security Course 07: Diploma in PHP Web Development Course 08: Front End Web Development Diploma Course 09: SQL Server for Beginners Course 10: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 11: Level 3 Cyber Security How will I get my Coding (Computer Programming) Certificate? After successfully completing the Coding (Computer Programming) bundle, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (Previously, it was £6*11 = £66) Hard Copy Certificate: Free ((Previously, it was £10) CPD 130 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Our Coding (Computer Programming) Diploma course is for anyone looking to upskill their career in any IT field. Requirements Our Coding (Computer Programming) is fully compatible with PC's, Mac's, laptops, tablets and Smartphone devices. Career path Explore diverse career opportunities with our Coding with Scratch course: Junior Software Developer: £25,000 - £35,000 Game Designer: £28,000 - £40,000 Coding Instructor: £22,000 - £30,000 Interactive Media Designer: £30,000 - £45,000 Educational Technologist: £25,000 - £38,000 App Developer: £30,000 - £50,000 Certificates Certificate of completion Digital certificate - Included You will get the Hard Copy certificate for the title course (Coding with HTML, CSS, & JavaScript) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost. Certificate of completion Digital certificate - Included
This course is about developing core skills that will stay with you for a lifetime. It is designed such that you can watch the material and follow along step-by-step. It focuses on the implementation of YOLOv4 to get you up and running. You'll be an object detecting ninja in no time and be able to graduate to more advanced content.
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Overview This comprehensive course on Essentials of Becoming a Manager and Managing Teams will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Essentials of Becoming a Manager and Managing Teams 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? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Essentials of Becoming a Manager and Managing Teams. It is available to all students, of all academic backgrounds. Requirements Our Essentials of Becoming a Manager and Managing Teams 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 8 sections • 144 lectures • 09:09:00 total length •What to Expect & About Me: 00:02:00 •Well Done!: 00:02:00 •It's a Different Job: 00:03:00 •You're Scared? Good!: 00:02:00 •The Manager Mindset: 00:03:00 •Set Expectations: 00:04:00 •Get Learning Leadership!: 00:03:00 •What is Culture?: 00:02:00 •Culture of Fairness: 00:08:00 •People Are Crazy: 00:02:00 •Mastering One To One Meetings: 00:05:00 •Manager to Coach: 00:07:00 •Me? A Psychologist?: 00:02:00 •Emotional Intelligence: 00:05:00 •Mastering Performance Evaluations: 00:07:00 •Welcoming New Starters: 00:07:00 •How to Hire a Diverse Workforce: 00:06:00 •Get the Basics Right Every Time: 00:02:00 •Conclusion: 00:02:00 •Introduction: 00:02:00 •The Importance of the Interview Process: 00:03:00 •What's Wrong With The Interview Process: 00:07:00 •Human Vs. Algorithm: 00:02:00 •Unconscious Interviewer Biases: 00:03:00 •Be Data Driven: 00:03:00 •Let's See You In Action: 00:02:00 •Keep it Relevant: 00:02:00 •Seriously Avoid These Topics: 00:03:00 •Benefits of a Diverse Workforce: 00:03:00 •How to Hire a Diverse Workforce: 00:06:00 •Hunger and Desire Over Skills: 00:03:00 •Culture Addition, Not Culture Fit: 00:03:00 •Compliment, Backup or Add To The Team: 00:05:00 •Hiring The Right Rank: 00:04:00 •What Are Your Location Restrictions: 00:01:00 •The Risk Of Delivering Less: 00:02:00 •The Risk Of Burnout: 00:02:00 •The Risk Of Losing The Headcount: 00:02:00 •Confirm The Job Is What They Think It Is: 00:02:00 •Sell Yourself, The Team & The Company: 00:03:00 •Don't Be A Jerk: 00:02:00 •It's Not About Making You Look Good: 00:02:00 •Managing Recruitment Agencies: 00:04:00 •Communications With The Candidate: 00:03:00 •Be Ready: 00:03:00 •Assign A Buddy: 00:02:00 •You Got It Wrong!: 00:02:00 •Conclusion: 00:03:00 •What To Expect From The Course: 00:02:00 •Why Even Bother?: 00:07:00 •What Learning Used To Be Like: 00:02:00 •Individual Learner: 00:01:00 •Everyone Says They Are A Self-Learner: 00:10:00 •Online Communities: 00:02:00 •Embedding Learning Into Daily Life: 00:03:00 •Teach It To Learn It: 00:02:00 •Learning New Vs Becoming Expert: 00:01:00 •Listen Faster: 00:01:00 •Tom's Approach: 00:02:00 •The Paid Training Course Is History: 00:03:00 •Develop The Right Mental Habits: 00:06:00 •Make It Easier On Yourself: 00:02:00 •Manager Responsibilities: 00:01:00 •Are You Really A Centre Of Excellence?: 00:02:00 •Learning As Part Of Performance Evaluation: 00:02:00 •Don't Worry If People Leave: 00:01:00 •The Benefits Of A Skilled User Base: 00:02:00 •Push It, Push It, Push It: 00:01:00 •The Golden Hour: 00:09:00 •Internal Mobility: 00:03:00 •Team Secondment: 00:02:00 •Make People Good Enough To Quit: 00:03:00 •Lunch & Learns: 00:02:00 •Personalised Learning Plans: 00:02:00 •Use It Or Lose It: 00:02:00 •Certifiably Great: 00:02:00 •Get A Learning Buddy: 00:02:00 •Senior Leaders Responsibilities: 00:01:00 •Walk It From The Top: 00:02:00 •Learning Wherever, Whenever: 00:02:00 •Show Us The Data: 00:02:00 •Create Learning Champions: 00:02:00 •Gamification: 00:02:00 •Sell, Sell, Sell: 00:03:00 •Don't Block The Useful Sites: 00:03:00 •Create A Varied Library Of Resources: 00:02:00 •Encourage Conferences And Seminars: 00:04:00 •The Feedback Loop: 00:02:00 •Learning Is Expensive: 00:03:00 •Learning Takes Time: 00:02:00 •Concluding Remarks: 00:04:00 •Interview Masterclass - Maximize Your Chances of Success: 00:03:00 •Get Yourself Game Ready!: 00:08:00 •Final Prep Tips! 1-2 Days Before Interview: 00:03:00 •It's Interview Day! How to ACE the interview!: 00:07:00 •Positive Personality Traits Interviewers Are Desperate For: 00:07:00 •How to Engage & Impress in Conversation: 00:05:00 •The Art of Asking Questions: 00:08:00 •How to Answer Questions Using Skill & Psychological Tricks: 00:10:00 •After Interview - Still More You Can Do: 00:05:00 •Staying Professional: 00:02:00 •That Wasn't What You Expected!!: 00:03:00 •Waiting For The Answer: 00:02:00 •Let's Review The Tips - So Much To Consider: 00:04:00 •Introduction to Overcoming Burnout: 00:03:00 •The Problem of Burnout in Modern Workplaces: 00:06:00 •Symptoms of Burnout - Do You Have It?: 00:03:00 •How Individuals Can Fight Back Against Burnout: 00:12:00 •How Leaders Can Create A Burnout Free Culture: 00:10:00 •Let's Review The Advice - What's Important?: 00:03:00 •Characteristics of Great Leaders - Introduction: 00:02:00 •Honesty, Coaching & The Mission: 00:08:00 •Empathy, Togetherness & Feedback: 00:06:00 •Change, Authenticity & Enablement: 00:05:00 •Perspective, Empowerment & Emotional Intelligence: 00:05:00 •My Favourite Tips & Bonus!: 00:05:00 •What to Expect: 00:04:00 •What & Why?: 00:03:00 •The Cost of Meetings: 00:02:00 •Red Amber & Green Meetings: 00:06:00 •Do You Need A Meeting?: 00:04:00 •Timing Considerations: 00:07:00 •Contents of the Invite: 00:03:00 •Scheduling Etiquette: 00:07:00 •Considerations for Externals: 00:05:00 •The Meeting as an Opportunity: 00:02:00 •Chairing Meetings: 00:01:00 •Your Agenda: 00:08:00 •Kicking Off: 00:06:00 •During The Meeting: 00:08:00 •After Meeting Minutes: 00:06:00 •Considerations: 00:06:00 •Concluding Remarks: 00:02:00 •What To Expect & About Me: 00:02:00 •Management Vs. Coaching: 00:07:00 •What Is Culture?: 00:02:00 •Culture of Fairness: 00:08:00 •How To Be A Great Listener: 00:05:00 •Mastering Performance Evaluations: 00:07:00 •Welcoming New Starters: 00:07:00 •Stupid Things NOT To Say To Your Team: 00:07:00 •Your Team Made A Mistake: 00:06:00 •Mastering Crucial Conversations: 00:05:00 •When to Fire Someone: 00:06:00
Register on the SQL NoSQL Big Data and Hadoop 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 digital certificate as a proof of your course completion. The SQL NoSQL Big Data and Hadoop 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 SQL NoSQL Big Data and Hadoop 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 SQL NoSQL Big Data and Hadoop, 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 Section 01: Introduction Introduction 00:07:00 Building a Data-driven Organization - Introduction 00:04:00 Data Engineering 00:06:00 Learning Environment & Course Material 00:04:00 Movielens Dataset 00:03:00 Section 02: Relational Database Systems Introduction to Relational Databases 00:09:00 SQL 00:05:00 Movielens Relational Model 00:15:00 Movielens Relational Model: Normalization vs Denormalization 00:16:00 MySQL 00:05:00 Movielens in MySQL: Database import 00:06:00 OLTP in RDBMS: CRUD Applications 00:17:00 Indexes 00:16:00 Data Warehousing 00:15:00 Analytical Processing 00:17:00 Transaction Logs 00:06:00 Relational Databases - Wrap Up 00:03:00 Section 03: Database Classification Distributed Databases 00:07:00 CAP Theorem 00:10:00 BASE 00:07:00 Other Classifications 00:07:00 Section 04: Key-Value Store Introduction to KV Stores 00:02:00 Redis 00:04:00 Install Redis 00:07:00 Time Complexity of Algorithm 00:05:00 Data Structures in Redis : Key & String 00:20:00 Data Structures in Redis II : Hash & List 00:18:00 Data structures in Redis III : Set & Sorted Set 00:21:00 Data structures in Redis IV : Geo & HyperLogLog 00:11:00 Data structures in Redis V : Pubsub & Transaction 00:08:00 Modelling Movielens in Redis 00:11:00 Redis Example in Application 00:29:00 KV Stores: Wrap Up 00:02:00 Section 05: Document-Oriented Databases Introduction to Document-Oriented Databases 00:05:00 MongoDB 00:04:00 MongoDB Installation 00:02:00 Movielens in MongoDB 00:13:00 Movielens in MongoDB: Normalization vs Denormalization 00:11:00 Movielens in MongoDB: Implementation 00:10:00 CRUD Operations in MongoDB 00:13:00 Indexes 00:16:00 MongoDB Aggregation Query - MapReduce function 00:09:00 MongoDB Aggregation Query - Aggregation Framework 00:16:00 Demo: MySQL vs MongoDB. Modeling with Spark 00:02:00 Document Stores: Wrap Up 00:03:00 Section 06: Search Engines Introduction to Search Engine Stores 00:05:00 Elasticsearch 00:09:00 Basic Terms Concepts and Description 00:13:00 Movielens in Elastisearch 00:12:00 CRUD in Elasticsearch 00:15:00 Search Queries in Elasticsearch 00:23:00 Aggregation Queries in Elasticsearch 00:23:00 The Elastic Stack (ELK) 00:12:00 Use case: UFO Sighting in ElasticSearch 00:29:00 Search Engines: Wrap Up 00:04:00 Section 07: Wide Column Store Introduction to Columnar databases 00:06:00 HBase 00:07:00 HBase Architecture 00:09:00 HBase Installation 00:09:00 Apache Zookeeper 00:06:00 Movielens Data in HBase 00:17:00 Performing CRUD in HBase 00:24:00 SQL on HBase - Apache Phoenix 00:14:00 SQL on HBase - Apache Phoenix - Movielens 00:10:00 Demo : GeoLife GPS Trajectories 00:02:00 Wide Column Store: Wrap Up 00:04:00 Section 08: Time Series Databases Introduction to Time Series 00:09:00 InfluxDB 00:03:00 InfluxDB Installation 00:07:00 InfluxDB Data Model 00:07:00 Data manipulation in InfluxDB 00:17:00 TICK Stack I 00:12:00 TICK Stack II 00:23:00 Time Series Databases: Wrap Up 00:04:00 Section 09: Graph Databases Introduction to Graph Databases 00:05:00 Modelling in Graph 00:14:00 Modelling Movielens as a Graph 00:10:00 Neo4J 00:04:00 Neo4J installation 00:08:00 Cypher 00:12:00 Cypher II 00:19:00 Movielens in Neo4J: Data Import 00:17:00 Movielens in Neo4J: Spring Application 00:12:00 Data Analysis in Graph Databases 00:05:00 Examples of Graph Algorithms in Neo4J 00:18:00 Graph Databases: Wrap Up 00:07:00 Section 10: Hadoop Platform Introduction to Big Data With Apache Hadoop 00:06:00 Big Data Storage in Hadoop (HDFS) 00:16:00 Big Data Processing : YARN 00:11:00 Installation 00:13:00 Data Processing in Hadoop (MapReduce) 00:14:00 Examples in MapReduce 00:25:00 Data Processing in Hadoop (Pig) 00:12:00 Examples in Pig 00:21:00 Data Processing in Hadoop (Spark) 00:23:00 Examples in Spark 00:23:00 Data Analytics with Apache Spark 00:09:00 Data Compression 00:06:00 Data serialization and storage formats 00:20:00 Hadoop: Wrap Up 00:07:00 Section 11: Big Data SQL Engines Introduction Big Data SQL Engines 00:03:00 Apache Hive 00:10:00 Apache Hive : Demonstration 00:20:00 MPP SQL-on-Hadoop: Introduction 00:03:00 Impala 00:06:00 Impala : Demonstration 00:18:00 PrestoDB 00:13:00 PrestoDB : Demonstration 00:14:00 SQL-on-Hadoop: Wrap Up 00:02:00 Section 12: Distributed Commit Log Data Architectures 00:05:00 Introduction to Distributed Commit Logs 00:07:00 Apache Kafka 00:03:00 Confluent Platform Installation 00:10:00 Data Modeling in Kafka I 00:13:00 Data Modeling in Kafka II 00:15:00 Data Generation for Testing 00:09:00 Use case: Toll fee Collection 00:04:00 Stream processing 00:11:00 Stream Processing II with Stream + Connect APIs 00:19:00 Example: Kafka Streams 00:15:00 KSQL : Streaming Processing in SQL 00:04:00 KSQL: Example 00:14:00 Demonstration: NYC Taxi and Fares 00:01:00 Streaming: Wrap Up 00:02:00 Section 13: Summary Database Polyglot 00:04:00 Extending your knowledge 00:08:00 Data Visualization 00:11:00 Building a Data-driven Organization - Conclusion 00:07:00 Conclusion 00:03:00 Resources Resources - SQL NoSQL Big Data And Hadoop 00:00:00