1181 Coding courses in Nottingham delivered Online

Dive into the dynamic realm of clinical data analysis with our comprehensive Clinical Data Analysis with SAS course. This course is your passport to the pharmaceutical industry, guiding you through the essential components, phases of clinical trials, and types of data crucial in this field. You'll gain proficiency in interpreting clinical study documents, from protocols to ethical consent, enabling you to navigate the intricate world of clinical data. Our course equips you with SAS programming skills, empowering you to develop clinical study reports, analyze demographic data, and derive valuable insights. Whether you're a budding data analyst or a professional aiming to enhance your clinical data expertise, this course provides the knowledge and skills needed for a successful career in clinical data analysis. Learning Outcomes Understand the key components and phases of the pharmaceutical industry. Navigate clinical trials with insights into data types and reports. Interpret clinical study documents, including protocols and ethical consent. Develop clinical study reports using SAS programming. Analyze demographic data and derive valuable insights. Why choose this Clinical Data Analysis with SAS 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 Clinical Data Analysis with SAS course for? Aspiring clinical data analysts seeking to enter the pharmaceutical industry. Professionals in healthcare, research, or data analysis looking to enhance their clinical data expertise. Students and individuals interested in clinical data and its analysis. Those who want to decode clinical study documents and reports. Anyone aiming to unlock the world of clinical data analysis with SAS. Career path Clinical Data Analyst: £25,000 - £50,000 Biostatistician: £30,000 - £70,000 Pharmaceutical Researcher: £25,000 - £60,000 Data Scientist in Healthcare: £30,000 - £70,000 Clinical SAS Programmer: £28,000 - £60,000 Clinical Research Manager: £35,000 - £80,000 Prerequisites This Clinical Data Analysis with SAS does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Clinical Data Analysis with SAS 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 Course Promo Course Promo 00:01:00 Section 01: Introduction 1.1 Components of the Pharma Industry 00:05:00 1.2 Phases of Clinical Trials 00:06:00 1.3 Data and Reports in Clinical Trials 00:04:00 1.4 Types of Data 00:05:00 Section 02: Knowledge on Clinical Study Documents 2.1 Clinical Study Protocol 00:02:00 2.2 Ethical Consent 00:01:00 2.3 Inclusion-Exclusion Criteria 00:01:00 2.4 Statistical Analysis Plan: SAP, Mockshell and CRF 00:04:00 Section 03: Developing the Clinical Study Reports 3.1 General SAS Programming Steps 00:02:00 3.2 One Search Report: Demographics Table 00:04:00 3.3 Understanding the Demographics Table 00:03:00 3.4 Programming the Demographics Table 00:05:00 3.5 Importing Raw Demographic Data into the SAS 00:04:00 3.6 Deciding what Procedure to Use 00:02:00 3.7 Deriving the AGE variable 00:10:00 3.8 Obtaining Summary Statistics for AGE 00:04:00 3.9 Adding the 3rd Treatment Group using Explicit Output 00:05:00 3.10 Deriving the SEX variable 00:03:00 3.11 Obtaining Summary Statistics for SEX 00:03:00 3.12 Concatenating the COUNT and PERCENT Variables 00:03:00 3.13 Deriving the RACE Variable 00:03:00 3.14 Obtaining Summary Statistics for RACE 00:03:00 3.15 Stacking All the 3 Summary Statistics Together 00:06:00 3.16 Fixing the Precision Points 00:04:00 3.17 Transposing Data 00:03:00 3.18 Fixing the Order of Statistical Parameters 00:05:00 3.19 Building the Final Report 00:02:00 3.20 Putting the Final Touches to the Report 00:11:00 Resources Resources - Clinical Data Analysis with SAS 00:00:00 Assignment Assignment - Clinical Data Analysis with SAS 00:00:00

Delve into the world of data analysis with 'R Programming for Data Science,' a course designed to guide learners through the intricacies of R, a premier programming language in the data science domain. The course opens with a broad perspective on data science, illuminating the pivotal role of R in this field. Learners are then introduced to R and RStudio, equipping them with the foundational tools and interfaces essential for R programming. The curriculum progresses with an introduction to the basics of R, ensuring learners grasp the core principles that underpin more complex operations. A highlight of this course is its in-depth exploration of R's versatile data structures, including vectors, matrices, factors, and data frames. Each unit is crafted to provide learners with a comprehensive understanding of these structures, pivotal for effective data handling and manipulation. The course also emphasizes the importance of relational and logical operators in R, key elements for executing data operations. As the course advances, learners will engage with the nuances of conditional statements and loops, essential for writing efficient and dynamic R scripts. Moving into more advanced territories, the course delves into the creation and usage of functions, an integral part of R programming, and the exploration of various R packages that extend the language's capabilities. Learners will also gain expertise in the 'apply' family of functions, crucial for streamlined data processing. Further units cover regular expressions and effective strategies for managing dates and times in data sets. The course concludes with practical applications in data acquisition, cleaning, visualization, and manipulation, ensuring learners are well-prepared to tackle real-world data science challenges using R. Learning Outcomes Develop a foundational understanding of R's role in data science and proficiency in RStudio. Gain fluency in R programming basics, enabling the handling of complex data tasks. Acquire skills in managing various R data structures for efficient data analysis. Master relational and logical operations for advanced data manipulation in R. Learn to create functions and utilize R packages for expanded analytical capabilities. Why choose this R Programming for Data Science 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 R Programming for Data Science course for? Beginners in data science eager to learn R programming. Data analysts and scientists looking to enhance their skills in R. Researchers in various fields requiring advanced data analysis tools. Statisticians seeking to adopt R for more sophisticated data manipulations. Professionals in finance, healthcare, and other sectors needing data-driven insights. Career path Data Scientist (R Expertise): £30,000 - £70,000 Data Analyst (R Programming Skills): £27,000 - £55,000 Bioinformatics Scientist (R Proficiency): £35,000 - £60,000 Quantitative Analyst (R Knowledge): £40,000 - £80,000 Research Analyst (R Usage): £25,000 - £50,000 Business Intelligence Developer (R Familiarity): £32,000 - £65,000 Prerequisites This R Programming for Data Science does not require you to have any prior qualifications or experience. You can just enrol and start learning.This R Programming for Data Science 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 Unit 01: Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science? 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's next? 00:02:00 Unit 02: R and RStudio Engine and coding environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A quick tour 00:04:00 Unit 03: Introduction to Basics Arithmetic with R 00:03:00 Variable assignment 00:04:00 Basic data types in R 00:03:00 Unit 04: Vectors Creating a vector 00:05:00 Naming a vector 00:04:00 Arithmetic calculations on vectors 00:07:00 Vector selection 00:06:00 Selection by comparison 00:04:00 Unit 05: Matrices What's a Matrix? 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding columns and rows to a matrix 00:06:00 Selection of matrix elements 00:03:00 Arithmetic with matrices 00:07:00 Additional Materials 00:00:00 Unit 06: Factors What's a Factor? 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Unit 07: Data Frames What's a Data Frame? 00:03:00 Creating Data Frames 00:20:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Additional Materials 00:00:00 Unit 08: Lists Why would you need lists? 00:01:00 Creating a List 00:06:00 Selecting elements from a list 00:03:00 Adding more data to the list 00:02:00 Additional Materials 00:00:00 Unit 09: Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Additional Materials 00:00:00 Unit 10: Logical Operators AND, OR, NOT Operators 00:04:00 Logical operators with vectors and matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators together 00:06:00 Additional Materials 00:00:00 Unit 11: Conditional Statements The IF statement 00:04:00 IFELSE 00:03:00 The ELSEIF statement 00:05:00 Full Exercise 00:03:00 Additional Materials 00:00:00 Unit 12: Loops Write a While loop 00:04:00 Looping with more conditions 00:04:00 Break: stop the While Loop 00:04:00 What's a For loop? 00:02:00 Loop over a vector 00:02:00 Loop over a list 00:03:00 Loop over a matrix 00:04:00 For loop with conditionals 00:01:00 Using Next and Break with For loop 00:03:00 Additional Materials 00:00:00 Unit 13: Functions What is a Function? 00:02:00 Arguments matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing own functions 00:03:00 Functions with no arguments 00:02:00 Defining default arguments in functions 00:04:00 Function scoping 00:02:00 Control flow in functions 00:03:00 Additional Materials 00:00:00 Unit 14: R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different ways to load a package 00:02:00 Additional Materials 00:00:00 Unit 15: The Apply Family - lapply What is lapply and when is used? 00:04:00 Use lapply with user-defined functions 00:03:00 lapply and anonymous functions 00:01:00 Use lapply with additional arguments 00:04:00 Additional Materials 00:00:00 Unit 16: The apply Family - sapply & vapply What is sapply? 00:02:00 How to use sapply 00:02:00 sapply with your own function 00:02:00 sapply with a function returning a vector 00:02:00 When can't sapply simplify? 00:02:00 What is vapply and why is it used? 00:04:00 Additional Materials 00:00:00 Unit 17: Useful Functions Mathematical functions 00:05:00 Data Utilities 00:08:00 Additional Materials 00:00:00 Unit 18: Regular Expressions grepl & grep 00:04:00 Metacharacters 00:05:00 sub & gsub 00:02:00 More metacharacters 00:04:00 Additional Materials 00:00:00 Unit 19: Dates and Times Today and Now 00:02:00 Create and format dates 00:06:00 Create and format times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Additional Materials 00:00:00 Unit 20: Getting and Cleaning Data Get and set current directory 00:04:00 Get data from the web 00:04:00 Loading flat files 00:03:00 Loading Excel files 00:05:00 Additional Materials 00:00:00 Unit 21: Plotting Data in R Base plotting system 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Unit 22: Data Manipulation with dplyr Introduction to dplyr package 00:04:00 Using the pipe operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns component: mutate() 00:02:00 Columns component: relocate() 00:02:00 Rows component: filter() 00:01:00 Rows component: slice() 00:04:00 Rows component: arrange() 00:01:00 Rows component: rowwise() 00:02:00 Grouping of rows: summarise() 00:03:00 Grouping of rows: across() 00:02:00 COVID-19 Analysis Task 00:08:00 Additional Materials 00:00:00 Assignment Assignment - R Programming for Data Science 00:00:00

OCA Prep Included

Duration 5 Days 30 CPD hours This course is intended for In order to be successful in this course you should have incoming hands-on experience with another programming language. This course is not for non-developers or new developers. Possible roles that may attend this course include: Software Developers: Professionals who have been working with other programming languages and want to expand their skillset by learning Java and its object-oriented features. Web Developers: Those who work on web applications and want to enhance their back-end development capabilities with Java. Mobile App Developers: Developers who wish to enter the world of Android app development, where Java is a widely used language for creating mobile applications. Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in core OO coding and Java development skills, coupling the most current, effective techniques with the soundest industry practices. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand what OO programming is and what the advantages of OO are in today's world Work with objects, classes, and OO implementations Understand the basic concepts of OO such as encapsulation, inheritance, polymorphism, and abstraction Understand not only the fundamentals of the Java language, but also its importance, uses, strengths and weaknesses Understand the basics of the Java language and how?it relates to OO programming and the Object Model Learn to use Java exception handling Understand and use classes, inheritance and polymorphism Understand and use collections, generics, autoboxing, and enumerations Become familiar with the concept of functional programming using Lambda Expressions Process large amounts of data using the Stream API introduced in Java 8 Discover the new Date/Time API Use the JDBC API for database access Work with annotations Take advantage of the Java tooling that is available with the programming environment being used in the class Java 8 Features: Lambda Expressions, Method and Constructor references, The Streams API, Collectors, The Optional class Geared for experienced developers, Basic Java Programming for Developers New to OO, this hands-on, workshop-style course will provide you with an immersive learning experience that will expand your skillset and open doors to new opportunities within the ever-growing technology landscape. Mastering Java and its powerful capabilities will provide you with the competitive edge you need to stand out in today's fast-paced development world. Working in a hands-on learning environment led by our expert coach, you?ll thoroughly explore the foundations of the Java platform, essential programming concepts, and advanced topics, ensuring you acquire a strong understanding of the language and its ecosystem. The object-oriented programming principles taught in this course promote code reusability and maintainability, enabling you to streamline development processes and reduce long-term costs. As you progress through the course, you will also gain familiarity with using an IDE, enhancing your development workflow and collaboration with other Java developers, enabling you to integrate seamlessly into new projects and teams. You?ll also gain practical experience in applying the concepts and techniques learned, solidifying your newly acquired skills and facilitating their direct application in real-world scenarios. You?ll exit this course empowered to create robust, scalable, and efficient Java-based applications that drive innovation and growth for your organization The Java Platform The Java Platform Lifecycle of a Java Program Responsibilities of JVM Documentation and Code Reuse Using the JDK Explain the JDK?s file structure Use the command line compiler to compile a Java class Use the command line Java interpreter to run a Java application class The IntelliJ Paradigm Introduce the IntelliJ IDE The Basics of the IntelliJ interface IntelliJ Projects and Modules Creating and running Java applications Writing a Simple Class Write a Java class that does not explicitly extend another class Define instance variables for a Java class Create object instances Primitives vs Object References Implement a main method to create an instance of the defined class Adding Methods to the Class Write a class with accessor methods to read and write instance variables Write a constructor to initialize an instance with data Write a constructor that calls other constructors of the class to benefit from code reuse Use the this keyword to distinguish local variables from instance variables Object-Oriented Programming Real-World Objects Classes and Objects Object Behavior Methods and Messages Inheritance, Abstraction, and Polymorphism Encapsulation Inheritance Method Overriding Polymorphism Essential Java Programming Essential Java Programming Language Statements Arithmetic operators Operators to increment and decrement numbers Comparison operators Logical operators Return type of comparison and logical operators Use for loops Switch Expressions Switch Expressions and yield Using Strings and Text Blocks Create an instance of the String class Test if two strings are equal Get the length of a string Parse a string for its token components Perform a case-insensitive equality test Build up a string using StringBuffer Contrast String, StringBuffer,and StringBuilder Compact Strings Text Blocks Specializing in a Subclass Constructing a class that extends another class Implementing equals and toString Writing constructors that pass initialization data to parent constructor Using instanceof to verify type of an object reference Pattern matching for instanceof Overriding subclass methods Safely casting references to a more refined type Fields and Variables Discuss Block Scoping Rules Distinguish between instance variables and method variables within a method Explain the difference between the terms field and variable List the default values for instance variables Final and Static fields and methods Local Variable type inference Using Arrays Declaring an array reference Allocating an array Initializing the entries in an array Writing methods with a variable number of arguments Records Data Objects in Java Introduce records as carrier of immutable data Defining records Java Packages and Visibility Use the package keyword to define a class within a specific package Discuss levels of accessibility/visibility Using the import keyword to declare references to classes in a specific package Using the standard type naming conventions Visibility in the Java Modular System Correctly executing a Java application class The Java modular system Defining Modules Inheritance and Polymorphism Write a subclass with a method that overrides a method in the superclass Group objects by their common supertype Utilize polymorphism Cast a supertype reference to a valid subtype reference Use the final keyword on methods and classes to prevent overriding Interfaces and Abstract Classes Define supertype contracts using abstract classes Implement concrete classes based on abstract classes Define supertype contracts using interfaces Implement concrete classes based on interfaces Explain advantage of interfaces over abstract classes Explain advantage of abstract classes over interfaces Static, default and private methods in interfaces Sealed classes Introduce Sealed classes The sealed and permits modifiers Sealed Interfaces Exception Handling Introduction to Exception Handling Introduce the Exception architecture Defining a try/catch blocks Checked vs Unchecked exceptions Exceptions Defining your own application exceptions Automatic closure of resources Suppressed exceptions Handling multiple exceptions in one catch Helpful Nullpointers Enhanced try-with-resources Java Developer's Toolbox Developing applications Introduce the wrapper classes Explain Autoboxing and Unboxing Converting String representations of primitive numbers into their primitive types Defining Enumerations Using static imports Deprecating methods Advanced Java Programming Introduction to Generics Generics and Subtyping Bounded Wildcards Generic Methods Legacy Calls To Generics When Generics Should Be Used Lambda Expressions and Functional Interface Understanding the concept of functional programming Writing lambda expressions Understanding functional interfaces Collections Provide an overview of the Collection API Review the different collection implementations (Set, List and Queue) Explore how generics are used with collections Examine iterators for working with collections Using Collections Collection Sorting Comparators Using the Right Collection Lambda expressions in Collections Bonus Topics: Time Permitting Streams Understanding the problem with collections in Java Thinking of program solutions in a declarative way Use the Stream API to process collections of data Understand the difference between intermediate and terminal stream operations Filtering elements from a Stream Finding element(s) within a Stream Collecting the elements from a Stream into a List takeWhile and dropWhile intermediate operations Collectors Using different ways to collect the items from a Stream Grouping elements within a stream Gathering statistics about numeric property of elements in a stream

Highlights of the Course Course Type: Online Learning Duration: 28 Hours 44 Minutes Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about ethical hacking and network security Understand the core competencies and principles of ethical hacking and network security Explore the various areas of ethical hacking and network security Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert ethical hacker Ethical Hacking Masterclass Course Master the skills you need to propel your career forward in ethical hacking and network security. This course will equip you with the essential knowledge and skillset that will make you a confident ethical hacker and take your career to the next level. This comprehensive ethical hacking masterclass course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this ethical hacking masterclass course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective ethical hacking and network security practice and equip you with the essential skills, confidence and competence to assist you in the ethical hacking and network security industry. You'll gain a solid understanding of the core competencies required to drive a successful career in ethical hacking and network security. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for ethical hacker or for people who are aspiring to specialise in ethical hacking and network security. Enrol in this ethical hacking masterclass course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive ethical hacking masterclass course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this ethical hacking and network security can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This ethical hacking masterclass course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This ethical hacking masterclass course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This ethical hacking masterclass course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Introduction Introduction To The Course 00:05:00 VirtualBox Installation 00:16:00 Kali Linux Installation 00:14:00 Enabling Full-Screen 00:18:00 Basic Linux Commands Basic Commands Part 1 00:10:00 Basic Commands Part 2 00:21:00 Basic Commands Part 3 00:13:00 Creating a Secure Hacking Environment 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 00:08:00 Changing our MAC Address With Macchanger 00:06:00 Footprinting Google Hacking 00:13:00 Nikto Basics 00:11:00 Whois Tool 00:07:00 Email Harvesting 00:06:00 Shodan 00:10:00 Zone Transfer With Dig 00:07:00 Scanning Installing Metasploitable 00:07:00 Nmap Part 1 00:16:00 Nmap Part 2 00:12:00 Nmap part 3 00:12:00 Zenmap 00:08:00 Nmap Bypassing Defenses 00:17:00 Nmap Bypassing Defenses 00:17:00 Nmap Scripts Part 1 00:09:00 Nmap Scripts Part 2 00:14:00 Website Penetration Testing 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 SQLmap 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 00:12:00 Changing HTML Code With XSS 00:07:00 XSSer And XSSsniper 00:14:00 Wireless Cracking 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 Cupp 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 Man in the Middle Attacks 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 Browsers With BEEF 00:16:00 Screenshotting Targets Browser 00:11:00 Cloning Any Webpage 00:09:00 Ettercap Basics 00:07:00 System Hacking with Metasploit MSFconsole Environment 00:16:00 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 2 Metasploitable Exploits 00:07:00 Wine Installation 00:12:00 Creating Windows Payloads With Msfvenom 00:10:00 Encoders And Hex Editor 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 Attack With Venom 00:10:00 Python Crash Course Variables 00:14:00 Raw Input 00:11:00 If-Else Statements 00:10:00 For Loops 00:06:00 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 Rule 00:05:00 Coding an Advanced Backdoor 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 Screenshot 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 Creating a Keylogger for the Backdoor Importing Pynput 00:10:00 Simple keylogger 00:10:00 Adding Report Function 00:11:00 Writing Keystrokes 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 Basic Authentication Bruteforcer Printing Banner 00:11:00 Adding Available Options 00:11:00 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 Bonus - Building a Career in Cyber Security 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 Assessment Assessment - Ethical Hacking Masterclass 00:10:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Learn Java programming step-by-step with 250 core features and 200+ code examples, perfect for absolute beginners. This hands-on course covers everything from basic concepts to advanced topics such as functional programming and exception handling using JShell and Eclipse as an IDE. Gain a solid foundation in Java and kickstart your programming career.

Strengthen your command over C language

This course is designed to help you understand the basic and advanced concepts of ethical hacking with ease. The course features interesting examples and coding activities in each video to keep you engaged and guides you effectively through writing programs to hack a system.

Medical Terminology Online Training Do you want to study more about medical terminology or seek a career in it? This Medical Terminology Complete Training is meant to assist you in better understanding medical jargon. All the most recent subjects have been addressed in this Medical Terminology Complete Training to better equip you for a career in medicine. This Medical Terminology Complete Training covers everything from an introduction to medical terminology to other pertinent subjects. This Medical Terminology: Medical Terminology Complete Training will also teach you about medical specialties, procedures, and terminology related to bodily systems. Also, the Medical Terminology Complete Training covers common illnesses and medical problems. You may learn how to generate medical paperwork, how to communicate properly, and about pharmacology with this Medical Terminology: Medical Terminology Complete Training. Join today to start a lucrative career in Medical Terminology Complete Training! ** Courses are included in this Medical Terminology: Medical Terminology Course ** Course 01: Medical Terminology Course 02: Medical Receptionist Course 03: Safe Handling of Medicine **Other Benefits of Medical Terminology: Medical Terminology Course Free 3 PDF Certificate Lifetime Access Free Retake Exam Tutor Support [ Note: Free PDF certificate as soon as completing the Medical Terminology: Medical Terminology course] Medical Terminology Online Training Course Curriculum of Medical Terminology Course Module 1: Introduction to Medical Terminology Module 2: Body Systems Terminology Module 3: Medical Specialties and Procedures Module 4: Common Medical Conditions and Diseases Module 5: Medical Documentation and Communication Module 6: Pharmacology Module 7: You Have to Know Other Topics Assessment Method of Medical Terminology After completing each module of the Medical Terminology: Medical Terminology Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Certification of Medical Terminology After completing the MCQ/Assignment assessment for this Medical Terminology: Medical Terminology course, you will be entitled to a Certificate of Completion from Training Tale. Who is this course for? Medical Terminology: Medical Terminology Online Training Medical Terminology: Medical Terminology course is designed for those who want to work or are already working in various settings within the NHS and private care facilities. Requirements Medical Terminology: Medical Terminology Online Training There are no specific requirements for Medical Terminology: Medical Terminology course because it does not require any advanced knowledge or skills. Career path Medical Terminology: Medical Terminology Online Training You can obtain employment in this field with the aid of this Medical Terminology: Medical Terminology Complete Training. Certificates Certificate of completion Digital certificate - Included

Learning Objectives Introduction , Interviewing Pitfalls , Before the Interview , During the Interview , After the Interview , Conclusion   Pre-Requisites There are no prerequisites for this course.   Description One of the most important decisions a company can make is hiring new employees. Good hiring decisions can make or break teams and can have a direct impact on a company's bottom line. Additionally, increasing diversity in hiring is about more than simple fair hiring practices. Research shows diverse teams make faster decisions and are more innovative. This class is designed to assist managers, supervisors, and HR staff in improving interviewing skills. Course Introduction Introduction 00:02:00 Section 01 Lesson 01: What is Unconscious Bias 00:05:00 Lesson 02: Overcoming Unconscious Bias 00:03:00 Section 02 Lesson 01: Creating the Job Description 00:03:00 Lesson 02: Planning the Questions 00:03:00 Lesson 03: Building a Scorecard 00:02:00 Lesson 04: Preparing for the Interview 00:02:00 Section 03 Lesson 01: Setting Candidates at Ease 00:01:00 Lesson 02: Conducting the Interview 00:03:00 Lesson 03: Selling the Job 00:02:00 Section 04 Lesson 01: Making the Big Decision 00:02:00 Course Recap Recap 00:01:00