3050 Software Development courses in Watford delivered Online

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm

Duration 4 Days 24 CPD hours This course is intended for This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class. Overview Working in a hands-on learning environment led by our expert instructor you'll: Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills. Discover the power of functional programming and learn techniques that will make your code more efficient, maintainable, and enjoyable to write. Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library. Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance. Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process. Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects, adding a touch of innovation and intelligence to your Scala solutions. If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals. Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects. Introduction to Scala Scala features and benefits Comparing Scala with Java and other OO languages Installing Scala and setting up the development environment Object-Oriented Programming in Scala Classes and objects Traits, mixins, and inheritance Companion objects and factories Encapsulation and polymorphism Functional Programming Basics Pure functions and referential transparency Higher-order functions and currying Immutability and persistent data structures Pattern matching and recursion Having Fun with Functional Data Structures Lists, sets, and maps in Scala Folding and reducing operations Stream processing and lazy evaluation For-comprehensions Building Web Applications in Functional Style Introduction to Play Framework Functional web routing and request handling JSON handling with Play-JSON Middleware and functional composition Connecting to a Database Introduction to Slick library Database configuration and setup Querying and updating with Slick Transactions and error handling Building Scalable and Extensible Components Modular architecture and design patterns Dependency injection with MacWire Type classes and type-level programming Implicit parameters and conversions Concurrency Programming & Akka Introduction to Akka framework and Actor model Actor systems and message passing Futures and Promises Supervision and fault tolerance Building Confidence with Testing Introduction to ScalaTest and ScalaCheck Unit testing and property-based testing Test-driven development in Scala Mocking and integration testing Interoperability between Scala and Java Calling Java code from Scala Using Java libraries in Scala projects Converting Java collections to Scala collections Writing Scala code that can be called from Java Using Generative AI and GPT Technologies in Scala Programming Overview of GPT and generative AI Integrating GPT with Scala applications Use cases and practical examples Additional course details: Nexus Humans Fast Track to Scala Programming Essentials for OO / Java Developers (TTSCL2104) 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 Fast Track to Scala Programming Essentials for OO / Java Developers (TTSCL2104) 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.

24-Hour Knowledge Knockdown! Prices Reduced Like Never Before Did you know you can make around £50,000 per year as an IT specialist? Are you interested in a career in coding but unsure where to begin? Our Coding: HTML, CSS and Bootstrap bundle is created for aspiring individuals like you to build a successful career in such a field. This extensive program equips you with the in-demand skills to become a proficient coder. We'll take you on a journey through the fundamentals of web development with HTML, CSS, and Javascript, before diving deeper into powerful programming languages like C++, Python, and R. You'll not only learn to create secure web applications but also explore the exciting world of game development and ethical hacking! This HTML, CSS, & Javascript Coding at QLS Level 4 course is endorsed by The Quality Licence Scheme and accredited by CPD QS (with 120 CPD points) to make your skill development & career progression more accessible than ever! 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Get a Free QLS Endorsed Certificate upon completion of Coding (Computer Programming) Get a free student ID card with Coding (Computer Programming) Training program (£10 postal charge will be applicable for international delivery) The Coding (Computer Programming) is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Get Lifetime access to the Coding (Computer Programming) course materials The Coding (Computer Programming) comes with 24/7 tutor support Start your learning journey straightaway! *** Course Curriculum *** Course 01: Diploma in HTML, CSS, & Javascript Coding at QLS Level 4 Module 01: Install the Tools and Get Started Module 02: HTML 5 Module 03: CSS 3 Module 04: Bootstrap Module 05: Project 1 - Design a Landing Page Module 06: Project 2 - Business Website Module 07: Project 3 - Portfolio Course 02: C++ Development: The Complete Coding Guide Section 01: Introduction & Setting Up Section 02: Basics Section 03: Operators Section 04: String Streams Section 05: Statements & Loops Section 06: Functions Section 07: Advanced Data Types Section 08: Classes Section 09: Errors Section 10: The Mighty Preprocessor Section 11: File I/O Section 12: Extras Section 13: Resource Course 03: Python Programming: Beginner To Expert Module 01: Introduction To Python Programming From A-Z Module 02: Getting Familiar With Python Module 03: Basic Data Types Module 04: Python Operators Module 05: Advanced Data Types Module 06: Control Flow Part 1 Module 07: Control Flow Part 2 Module 08: Python Functions Module 09: User Input And Error Handling Module 10: Python Advanced Functions Module 11: Python Scripting And Libraries Module 12: NumPy Module 13: Pandas Module 14: Introduction To OOP Module 15: Advanced OOP Module 16: Starting A Career In Python =========>>>>> And 8 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your QLS Endorsed Certificates and CPD Accredited Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*11 = £143) QLS Endorsed Hard Copy Certificate: Free (For The Title Course: Previously it was £109) CPD 230 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Beginners with no coding experience Career changers looking to enter tech Programmers seeking to expand their skillset Web developers wanting to enhance their coding expertise Data enthusiasts seeking data analysis skills Anyone passionate about technology Requirements You will not need any prior background or expertise to enrol in this bundle. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Web Developer Data Analyst Software Developer Ethical Hacker IT Specialist Game Developer Certificates CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. Diploma in HTML, CSS, & Javascript Coding at QLS Level 4 Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee.

This course is a complete, concise, and confident overview of Sprint Retrospectives covered in theory along with real-world examples of how the theory is used in industry.

Overview With the ever-increasing demand for HTML in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in HTML may be. Learning about HTML or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in HTML . That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on HTML is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates. The self-paced online learning methodology by compete high in this HTML course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course! Instead of searching for hours, enrol right away on this HTML course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run. Who is this course for? While we refrain from discouraging anyone wanting to do this HTML course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of HTML , Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in HTML , Anyone looking for a certificate of completion on doing an online training on this topic, Students of HTML , or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity Career Path This HTML course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams.  Course Curriculum Chapter 1_ Introduction To HTML Chapter 1_ Introduction To HTML 00:00 Chapter 2_ HTML Elements Chapter 2_ HTML Elements 00:00 Chapter 3_ Objects and Styling Chapter 3_ Objects and Styling 00:00 Chapter 4_ Final Touches Chapter 4_ Final Touches 00:00

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Overview This comprehensive course on Ethical Hacking with Kali Linux will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Ethical Hacking with Kali Linux comes with accredited certification, 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 Ethical Hacking with Kali Linux. It is available to all students, of all academic backgrounds. Requirements Our Ethical Hacking with Kali Linux 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 16 sections • 150 lectures • 05:54:00 total length •Introduction to the course: 00:05:00 •Virtual box installation: 00:16:00 •Kali linux installation: 00:14:00 •Enabling full screen: 00:18:00 •Basic commands part 1: 00:10:00 •Basic commands part 2: 00:21:00 •Basic commands part 3: 00:13:00 •Changing ip address and wireless adapter setup: 00:05:00 •Creating a bootable Kali USB drive: 00:05:00 •Essential networking terms: 00:10:00 •Essential hacking terms: 00:18:00 •Additional kali tools to install: 00:09:00 •Changing our MAC address with mac changer: 00:06:00 •Google hacking: 00:13:00 •Nikto basics: 00:11:00 •Whois tools: 00:07:00 •Email harvesting: 00:06:00 •Shodan: 00:10:00 •Zone transfer with Dig: 00:08:00 •Installing Metasploitable: 00:07:00 •Nmap part 1: 00:16:00 •Nmap part 2: 00:12:00 •Nmap part 3: 00:12:00 •Zen map: 00:08:00 •TCP scans: 00:16:00 •Nmap by passing defenses: 00:17:00 •Nmap scripts part 1: 00:09:00 •Nmap scripts part 2: 00:14:00 •Installing OWASP: 00:08:00 •HTTP request: 00:10:00 •HTTP response: 00:10:00 •Burpsuite configuration: 00:13:00 •Editing packets in Burpsuite: 00:12:00 •Whatweb and Dirb: 00:10:00 •Password recovery attack: 00:16:00 •Burpsuite login bruteforce: 00:11:00 •Hydra login bruteforce: 00:09:00 •Session fixation: 00:14:00 •Injection attacks: 00:06:00 •Simple command injection: 00:11:00 •Exploiting command injection vulnerability: 00:08:00 •Finding blind command injection: 00:14:00 •SQL basics: 00:10:00 •Manual SQL injection part 1: 00:13:00 •Manual SQL injection part 2: 00:21:00 •SQL map basics: 00:17:00 •XML injection: 00:16:00 •Installing XCAT and preventing injection attacks: 00:06:00 •Reflected XSS: 00:11:00 •Stored XSS: 00:13:00 •Changing HTML code with XSS: 00:07:00 •XSSer and XSS sniper: 00:14:00 •Wireless attacking theory: 00:11:00 •Enabling monitor mode: 00:05:00 •Capturing handshake with airodump: 00:15:00 •Rockyou.txt: 00:14:00 •Cracking with aircrack: 00:16:00 •Cracking with hashcat: 00:15:00 •Creating password lists with crunch: 00:18:00 •Creating password lists with cup: 00:07:00 •Rainbow tables part 1: 00:17:00 •Rainbow tables part 2: 00:06:00 •Installing fluxion: 00:06:00 •Finding and cracking hidden networks: 00:08:00 •Preventing wireless attacks: 00:08:00 •ARP protocol basics: 00:10:00 •Man in the middle attack theory: 00:07:00 •Installing MITMf: 00:07:00 •Manual ARP spoofing: 00:13:00 •Problems while installing MITMf: 00:06:00 •HTTP traffic sniffing: 00:08:00 •DNS spoofing and HTTPS password sniffing: 00:24:00 •Hooking browser with BEEF: 00:16:00 •Screenshotting targets browser: 00:11:00 •Cloning any webpage: 00:09:00 •Ettercap basics: 00:07:00 •MFS console environment: 00:16:00 •Metasploit modules explained: 00:12:00 •Bruteforcing SSH with Metasploit: 00:15:00 •Attacking tomcat with metasploit: 00:09:00 •Getting meterpreter with command injection: 00:25:00 •PHP code injection: 00:06:00 •Metasploitable exploits: 00:07:00 •Wine installation: 00:12:00 •Creating windows payloads with Msfvenom: 00:10:00 •Encoders and Hex editors: 00:19:00 •Windows 10 meterpreter shell: 00:12:00 •Meterpreter environment: 00:11:00 •Windows 10 privilege escalation: 00:11:00 •Preventing privilege escalation: 00:06:00 •Post exploitation modules: 00:14:00 •Getting Meterpreter over Internet with port forwarding: 00:11:00 •Eternalblue exploit: 00:20:00 •Persistence module: 00:13:00 •Hacking over the internet with Ngrok: 00:10:00 •Android device hacking with venom: 00:10:00 •The real hacking begins now!: 00:02:00 •Variables: 00:14:00 •Raw input: 00:11:00 •If else statements: 00:10:00 •For loops: 00:07:00 •While loops: 00:08:00 •Python lists: 00:08:00 •Functions: 00:15:00 •Classes: 00:10:00 •Importing libraries: 00:07:00 •Files in python: 00:12:00 •Try and except the rule: 00:05:00 •Theory behind reverse shells: 00:07:00 •Simple server code: 00:13:00 •Connection with reverse shell: 00:07:00 •Sending and receiving messages: 00:11:00 •Sending messages with while true loop: 00:08:00 •Executing commands on target system: 00:10:00 •Fixing backdoor bugs and adding functions: 00:20:00 •First test using our backdoor: 00:18:00 •Trying to connect every 20 seconds: 00:12:00 •Creating persistence part 1: 00:06:00 •Creating persistence part 2: 00:17:00 •Changing directory: 00:12:00 •Uploading and downloading files: 00:22:00 •Downloading files from the internet: 00:23:00 •Starting programs using our backdoor: 00:07:00 •Capturing screenshots on the target PC: 00:19:00 •Embedding backdoor in an image part 1: 00:13:00 •Embedding backdoor in an image part 2: 00:09:00 •Checking for administrator privileges: 00:12:00 •Adding help option: 00:09:00 •Importing Pynput: 00:10:00 •Simple keylogger: 00:10:00 •Adding report function: 00:11:00 •Writing key strokes to a file: 00:14:00 •Adding the keylogger to our reverse shell part 1: 00:23:00 •Adding the keylogger to our reverse shell part 2: 00:08:00 •Final project test: 00:14:00 •Printing banner: 00:11:00 •Adding available options: 00:11:00 •Starting threads for bruteforce: 00:08:00 •Writing function to run the attack: 00:11:00 •Bruteforcing router login: 00:10:00 •Bypassing antivirus with your future programs: 00:14:00 •Sending malware with spoofed email: 00:15:00 •What will you learn in this section?: 00:03:00 •Why is ethical hacking a valuable skill?: 00:23:00 •What is the best ethical hacking certification?: 00:17:00 •Tips for getting your first job as an ethical hacker: 00:18:00 •How I started my career as an ethical hacker: 00:14:00 •How to price your work: 00:11:00 •Bonuses. Enjoy the Benefits: 01:05:00 •Assignment - Ethical Hacking with Kali Linux: 00:00:00

Overview This comprehensive course on Ionic & Angular JS: Principles Of Mobile and Web Development will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Ionic & Angular JS: Principles Of Mobile and Web Development 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 Ionic & Angular JS: Principles Of Mobile and Web Development. It is available to all students, of all academic backgrounds. Requirements Our Ionic & Angular JS: Principles Of Mobile and Web Development 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 4 sections • 18 lectures • 02:39:00 total length •Introduction to the Course: 00:04:00 •Setup: 00:13:00 •iOS Debug: 00:05:00 •Testing For Desktop & Android: 00:11:00 •Header & Sub Header: 00:05:00 •Footer: 00:06:00 •Buttons: 00:15:00 •List: 00:14:00 •Cards: 00:10:00 •Forms: 00:15:00 •Toggle: 00:08:00 •Checkbox: 00:06:00 •Radio Button List: 00:04:00 •Range/Slider: 00:09:00 •Select/Dropdown: 00:03:00 •Tabs: 00:15:00 •Grid: 00:16:00 •Resource: 00:00:00

Overview This comprehensive course on Advanced Diploma in Android App Development will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Advanced Diploma in Android App Development 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 Advanced Diploma in Android App Development. It is available to all students, of all academic backgrounds. Requirements Our Advanced Diploma in Android App Development 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 11 sections • 50 lectures • 15:16:00 total length •Module 01: Download and install android Studio on Windows: 00:16:00 •Module 02: Hello World Project: 00:13:00 •Module 01: Constraint Layout: 00:10:00 •Module 02: TextView: 00:14:00 •Module 03: Buttons: 00:13:00 •Module 04: EditText or Plain Text: 00:09:00 •Module 05: ImageView: 00:18:00 •Module 06: Currency Converter App: 00:01:00 •Module 07: Currency Converter App Solution: 00:15:00 •Module 01: Hello World JAVA: 00:04:00 •Module 02: Java DataTypes: 00:10:00 •Module 03: Arrays in java: 00:09:00 •Module 04: HashMaps: 00:05:00 •Module 05: Classes and Objects: 00:20:00 •Module 06: Loops: 00:09:00 •Module 07: Inheritance Concept: 00:15:00 •Module 08: Inheritance Implementation: 00:16:00 •Module 09: Static Keyword: 00:10:00 •Module 01: Theme Demo: 00:19:00 •Module 02: Linear Layout: 00:17:00 •Module 03: Media Player: 00:10:00 •Module 04: Video View: 00:13:00 •Module 01: Actvities: 00:22:00 •Module 02: Activity Life Cycle: 00:13:00 •Module 01: ListView: 00:12:00 •Module 02: Recyclerview: 00:38:00 •Module 03: Problem solution: 00:04:00 •Module 01: Fetching posts: 00:32:00 •Module 02: Completing Google News App: 00:36:00 •Module 01: Shared Preferences and SQLITE database: 00:26:00 •Module 02: Firebase: 00:30:00 •Module 01: Firebase Authentication part 1: 00:17:00 •Module 02: Firebase Authentication part 2: 00:23:00 •Module 03: ViewPager: 00:35:00 •Module 04: Adding Users and Uploading Profile Pic: 00:49:00 •Module 05: Output of hardwork: 00:08:00 •Module 06: Autologin and Profile Pic Settings: 00:15:00 •Module 07: Displaying Users: 00:51:00 •Module 08: Message Activity: 00:21:00 •Module 09: Sending Message: 00:18:00 •Module 10: Displaying Messages: 00:48:00 •Module 11: SIGN OUT: 00:11:00 •Module 12: ISSUES FIXED: 00:09:00 •Module 13: Showing users with us have some chat: 00:24:00 •Module 14: User Online, offline.: 00:38:00 •Module 01: Calls fragment: 00:16:00 •Module 02: Webrtc: 00:06:00 •Module 03: Adding sinch to our project: 00:40:00 •Module 04: Finalizing whatsapp: 00:08:00 •Assignment - Advanced Diploma in Android App Development: 00:00:00

Overview This comprehensive course on Statistics Essentials will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Statistics Essentials comes with accredited certification, 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 Statistics Essentials. It is available to all students, of all academic backgrounds. Requirements Our Statistics Essentials 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 11 sections • 11 lectures • 02:19:00 total length •Introduction to Statistics: 00:18:00 •Measuring Central Tendency: 00:18:00 •Measures of Dispersion: 00:11:00 •Correlation and Regression Analysis: 00:14:00 •Probability: 00:16:00 •Sampling: 00:19:00 •Charts and Graphs: 00:21:00 •Hypothesis Testing: 00:10:00 •Ten Common Statistical Mistakes: 00:12:00 •Assignment - Statistics Essentials: 00:00:00 •Order Your Certificate: 00:00:00