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Learn in-demand DevOps Fundementals: Maven and SonarQube for Engineers skills that are in high demand among UK employers, which will help you to kickstart your career. This DevOps Fundementals: Maven and SonarQube for Engineers course covers everything you must know to stand against the tough competition in the DevOps Fundementals: Maven and SonarQube for Engineers field. The future is truly yours to seize with this DevOps Fundementals: Maven and SonarQube for Engineers. Enrol today and complete the course to achieve a DevOps Fundementals: Maven and SonarQube for Engineers certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the DevOps Fundementals: Maven and SonarQube for Engineers course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the DevOps Fundementals: Maven and SonarQube for Engineers course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate. Certificate of Achievement Upon successfully completing the DevOps Fundementals: Maven and SonarQube for Engineers course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? 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You don't need any educational qualification or experience to enrol in the DevOps Fundementals: Maven and SonarQube for Engineers course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online DevOps Fundementals: Maven and SonarQube for Engineers course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Introduction Introduction to Maven 00:01:00 Topics Covered in this Course 00:03:00 How Maven Helps to a DevOps Engineer 00:02:00 Resource to Start 00:01:00 Setup Maven Environment on Windows Setup Maven Environment on Windows 00:01:00 Java Installation on Windows 00:05:00 Eclipse Installation 00:03:00 Create 1st Maven Project 00:04:00 Maven Coordinates 00:07:00 Default Directory Structure 00:03:00 Steps Involved to Build a Java Project 00:02:00 Maven Goals 00:06:00 Maven Goals in Action 00:07:00 Maven Goals, Repositories What is pom.xml and How it Works 00:05:00 About the Section 00:02:00 Maven Repositories 00:06:00 Maven goals - Deploy Goal for Local Repository 00:03:00 Push Maven Project onto GitHub 00:08:00 Maven on Linux Create an EC2 Instance 00:04:00 Prerequisites to Setup Maven 00:05:00 Setup Maven 00:04:00 Build Maven Project on Linux 00:10:00 Common Maven Goals 00:03:00 Create a Project with Maven Archetype 00:06:00 Plugins and dependencies in pom.xml 00:09:00 Settings.xml file 00:03:00 Tomcat Server Configurations 00:05:00 Deploy war on Tomcat Server 00:10:00 Maven in DevOps workflow Maven in DevOps workflow 00:01:00 Jenkins Installation 00:07:00 Add Maven Build Server as an Agent to Jenkins 00:07:00 Build Jenkins Job on Slave Node 00:07:00 Build a war file on Agent Node (Maven Server) 00:04:00 Additional Resources Create an AWS account 00:06:00 Install Git bash 00:03:00 Connect to a Linux with Mobaxterm 00:04:00 Install Tomcat 00:11:00 SonarQube SonarQube Introduction 00:07:00 SonarQube Installation 00:11:00 SonarQube Console Overview 00:14:00 SonarQube Installation with PostgreSQL Database 00:29:00 SonarQube Integration with Jenkins 00:15:00
Embark on this course in web development with HTML, CSS, JS, and React for a comprehensive training program designed to empower beginners and experienced designers alike with the essential skills needed to create captivating and dynamic websites. Explore the power of React.js, HTML5, CSS3, JavaScript, and build scalable components with React.
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Register on the R Programming for Data Science 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 R Programming for Data Science 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 R Programming for Data Science 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 After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. 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 R Programming for Data Science, 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 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? 00:01:00 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
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(£10 postal charges will be applicable for international delivery) Standards-aligned lesson planning Innovative and engaging content and activities Assessments that measure higher-level thinking and skills Complete the program in your own time, at your own pace Each of our students gets full 24/7 tutor support *** Course Curriculum *** Electric Circuits for Electrical Engineering Course Unit 1- Basic Concepts Module 1- What Is an Electric Circuit Module 2-System of Units Module 3- What Is an Electric Charge Module 4- What Is an Electric Current Module 5-Example 1 Module 6- Example 2 Module 7- Example 3 Module 8- What Is Voltage Module 9- What Is Power Module 10- What Is Energy Module 11- Example 4 Module 12- Example 5 Module 13- Dependent and Independent Sources Module 14- Example 6 Part 1 Module 15- Example 6 Part 2 Module 16- Application 1 Cathode Ray Tube Module 17-Example 7 Module 18- Application 2 Electricity Bills Module 19- Example 8 Unit 2- Basic Laws Module 1- Introduction to Basic Laws Module 2- Definition of Resistance Module 3- Ohm's Law Module 4- Types of Resistances Module 5- Open and Short Circuit Module 6- Definition of Conductance Module 7- Example 1 Module 8- Example 2 Module 9- Example 3 Module 10- Branch, Node and Loops Module 11- Series and Parallel Connection Module 12- KCL Module 13- KVL Module 14- Example 4 Module 15- Example 5 Module 16- Example 6 Module 17- Series Resistors and Voltage Division Module 18-Parallel Resistors and Current Division Module 19- Analogy between Resistance and Conductance Module 20-Example 7 Module 21-Example 8 Module 22- Introduction to Delta-Wye Connection Module 23-Delta to Wye Transformation Module 24- Wye to Delta Transformation Module 25-Example 9 Module 26- Example 10 Module 27- Application Lighting Bulbs Module 28-Example 11 Unit 3- Methods of Analysis Module 1- Introduction to Methods of Analysis Module 2- Nodal Analysis with No Voltage Source Module 3- Example 1 Module 4-Cramer's Method Module 5-Nodal Analysis with Voltage Source Module 6- Example 2 Module 7- Example 3 Module 8-Mesh Analysis with No Current Source Module 9-Example 4 Module 10- Example 5 Module 11-Mesh Analysis with Current Source Module 12-Example 6 Module 13-Nodal Vs Mesh Analysis Module 14-Application DC Transistor Module 15-Example 7 Unit 4- Circuit Theorems Module 1-Introduction to Circuit theorems Module 2-Linearity of Circuit Module 3-Example 1 Module 4-Superposition Theorem Module 5- Example 2 Module 6-Example 3 Module 7-Source Transformation Module 8-Example 4 Module 9-Example 5 Module 10-Thevenin Theorem Module 11-Example 6 Module 12-Example 7 Module 13- Norton's Theorem Module 14-Example 8 Module 15-Example 9 Module 16-Maximum Power Transfer Module 17-Example 10 Module 18-Resistance Measurement Module 19-Example 11 Module 20-Example 12 Module 21-Summary Unit 5- Operational Amplifiers Module 1-Introduction to Operational Amplifiers Module 2-Construction of Operational Amplifiers Module 3-Equivalent Circuit of non Ideal Op Amp Module 4-Vo Vs Vd Relation Curve Module 5-Example 1 Module 6-Ideal Op Amp Module 7- Example 2 Module 8-Inverting Amplifier Module 9-Example 3 Module 10-Example 4 Module 11-Non Inverting Amplifier Module 12-Example 5 Module 13-Summing Amplifier Module 14-Example 6 Module 15-Difference amplifier Module 16-Example 7 Module 17-Cascaded Op Amp Circuits Module 18-Example 8 Module 19-Application Digital to Analog Converter Module 20-Example 9 Module 21-Instrumentation Amplifiers Module 22-Example 10 Module 23-Summary Unit 6- Capacitors and Inductors Module 1-Introduction to Capacitors and Inductors Module 2-Capacitor Module 3-Capacitance Module 4-Voltage-Current Relation in Capacitor Module 5-Energy Stored in Capacitor Module 6-DC Voltage and Practical Capacitor Module 7-Example 1 Module 8-Example 2 Module 9-Example 3 Module 10-Equivalent Capacitance of Parallel Capacitors Module 11-Equivalent Capacitance of Series Capacitors Module 12-Example 4 Module 13-Definition of Inductors Module 14-Definition of Inductance Module 15-Voltage-Current Relation in Inductor Module 16-Power and Energy Stored in Inductor Module 17-DC Source and Inductor Module 18-Example 5 Module 19-Series Inductors Module 20-Parallel Inductors Module 21-Example 6 Module 22-Small Summary to 3 Basic Elements Module 23-Example 7 Module 24-Application Integrator Module 25-Example 8 Module 26-Application Differentiator Module 27-Example 9 Module 28-Summary Assessment Process Once you have completed all the modules in the Electric Circuits for Electrical Engineering course, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. CPD 10 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 course. This course is open to everybody. Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this course, you are to start your career or begin the next phase of your career. Certificates CPD Accredited Certificate Digital certificate - £10 CPD Accredited Certificate Hard copy certificate - £29 If you are an international student, then you have to pay an additional 10 GBP as an international delivery charge.
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In this competitive job market, you need to have some specific skills and knowledge to start your career and establish your position. This Color Psychology will help you understand the current demands, trends and skills in the sector. The course will provide you with the essential skills you need to boost your career growth in no time. The Color Psychology will give you clear insight and understanding about your roles and responsibilities, job perspective and future opportunities in this field. You will be familiarised with various actionable techniques, career mindset, regulations and how to work efficiently. This course is designed to provide an introduction to Color Psychology and offers an excellent way to gain the vital skills and confidence to work toward a successful career. It also provides access to proven educational knowledge about the subject and will support those wanting to attain personal goals in this area. Learning Objectives Learn the fundamental skills you require to be an expert Explore different techniques used by professionals Find out the relevant job skills & knowledge to excel in this profession Get a clear understanding of the job market and current demand Update your skills and fill any knowledge gap to compete in the relevant industry CPD accreditation for proof of acquired skills and knowledge Who is this Course for? Whether you are a beginner or an existing practitioner, our CPD accredited Color Psychology is perfect for you to gain extensive knowledge about different aspects of the relevant industry to hone your skill further. It is also great for working professionals who have acquired practical experience but require theoretical knowledge with a credential to support their skill, as we offer CPD accredited certification to boost up your resume and promotion prospects. Entry Requirement Anyone interested in learning more about this subject should take this Color Psychology. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. The course is open to students from any academic background, as there is no prerequisites to enrol on this course. The course materials are accessible from an internet enabled device at anytime of the day. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path The Color Psychology will help you to enhance your knowledge and skill in this sector. After accomplishing this course, you will enrich and improve yourself and brighten up your career in the relevant job market. Course Curriculum Section 01: Welcome to Lifehacking with Color Psychology Introduction: Use Color to Ramp up Your Influence 00:03:00 What Is Color and How Can It Affect You? 00:03:00 Section 02: Taste the Rainbow: The Warm Colors Red: Warning. -This Lecture Is Not For People With High Blood Pressure! 00:06:00 Orange: Use This Color Trick to Be More Productive At Work 00:03:00 Yellow: Could This Color Be Disturbing the Peace at Home? 00:05:00 Section 03: Cool Like That: The Cool Colors Green: Your Best Friend on a Busy Tuesday at Work 00:06:00 Blue: This Power Color Can Help Get You the Vote or the Job. 00:07:00 Purple: A Go-To Color for Gurus 00:03:00 Section 04: The Big Crayon Box: "Special" Colors Brown and Tan: The Best Colors to Help Salvage Your Reputation. 00:07:00 Silver and Gray: For Modern People Only 00:02:00 White: How to Make Your Website More Professional. 00:04:00 Black: Learn why this Color is Best Kept OUT of the Classroom. 00:05:00 Pink: How This Color Will Help Your Sports Team Win Again and Again. 00:04:00 Section 05: Putting It All Together Case Study #1: Influence the Audience's Mood through Color in Film/Animation 00:08:00 Case Study #2: What I Wore to my Last Job Interview 00:08:00 Case Study #3: How to Use Color Psychology to Boost Your Website (New Site) 00:13:00 Section 06: Updates, Extras, and Goodies Thank You for Taking This Course 00:01:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00
48-Hour Knowledge Knockdown! Prices Reduced Like Never Before! Are you looking to improve your current abilities or make a career move? Our unique Criminology and Psychology course might help you get there! Expand your expertise with high-quality training - study the Criminology and Psychology course and get an expertly designed, great-value training experience. Learn from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career through the Criminology and Psychology online training course. This Diploma in Understanding Criminology & Psychology at QLS Level 4 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 120 CPD points) to make your skill development & career progression more accessible than ever! Learning Outcomes of Criminology and Psychology Explain the relationship between criminology and psychology in understanding crime. Identify the key factors that influence criminal behavior. Analyze the role of mental disorders in criminal activity. Classify different types of crime based on their characteristics. Understand the application of forensic science in criminal investigations. Evaluate the techniques and methods used in criminal profiling. Why Choose Us? Get a Free CPD Accredited Certificate upon completion of Criminology and Psychology Get a free student ID card with Criminology and Psychology Training program (£10 postal charge will be applicable for international delivery) The Criminology and Psychology is affordable and simple to understand This Criminology and Psychology course is entirely online, interactive lesson with voiceover audio Get Lifetime access to the Criminology and Psychology course materials The Criminology and Psychology comes with 24/7 tutor support This Criminology and Psychology training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence! Take a step toward a brighter future with Criminology and Psychology! The Criminology and Psychology course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. Upon successful completion of the Criminology and Psychology course, an instant e-certificate will be exhibited in your profile that you can order as proof of your skills and knowledge. Add these amazing new skills to your resume and boost your employability by simply enrolling in this course. *** Course Curriculum *** Here is the curriculum breakdown of the Criminology and Psychology course: Criminology and Psychology Course Module 01: Understanding Criminal Psychology The Criminal Process Varieties of Crime Explanations of Crime Crime Psychology Research Areas of Contribution Module 02: Introduction to Criminology and Profiling Defining Criminology Defining Crime Causes of Crime Introduction to Profiling Importance of Profiling Module 03: Influence of Mental Disorders Aggression and Its Types Mental Illness Anxiety and Mood Disorders Schizophrenia and Psychotic Disorders Relationship of Aggression and Mental Illness Causation and Criminal Responsibility Personality Disorder Module 04: Classification of Crime Misdemeanours and Felonies Personal Crimes Property Crimes Inchoate Crimes White Collar Crimes Module 05: Forensic Science Forensics and It's Origin Forensic Pathology and Autopsies Toxicology Ballistics Anthropometry Fingerprints Module 06: Criminal Profiling: Science, Logic and Metacognition Bias Science and Scientific Method Logic Metacognition Module 07: Phases of Profiling Examining of Evidence Classification of Evidence Reconstruction Examining the Offender's Signature Generating a Profile Module 08: Offender Profiling: Pragmatic Solution and Behavioural Investigative Advice Traditional Approaches to Offender Profiling Behavioural Investigative Advisers: The Way they can Contribute BIA: Contribution Module 09: Victimology Victims Consequences of Crime for Victims Victim Proneness Victim Facilitation Victim Rights Module 10: The Criminal Justice System in England and Wales Introduction The Criminal Courts Police and Policing The Crown Prosecution Service Prisons and the Prison Service Assessment Process You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam.Our expert trainers will assess your assignment and give you feedback after you submit the assignment. After passing the Diploma in Understanding Criminology & Psychology at QLS Level 4 course exam, you will be able to request a certificate at an additional cost that has been endorsed by the Quality Licence Scheme. CPD 120 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 Criminology and Psychology course. This course is open to everybody. Requirements You will not need any prior background or expertise to enrol in this Criminology and Psychology course. Career path After completing this Criminology and Psychology course, you are to start your career or begin the next phase of your career. Investigator Analyst Profiler Consultant Researcher Educator Certificates Certificate of completion Digital certificate - £10 Diploma in Understanding Criminology & Psychology at QLS Level 4 Hard copy certificate - £99 Show off Your New Skills with a Certificate of Completion After successfully completing the Diploma in Understanding Criminology & Psychology at QLS Level 4, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 99 GBP inside the UK 109 GBP (including postal fees) for International Delivery Certificate Accredited by CPDQS 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (International Delivery)
Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science. 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's Next 00:01:00 R and RStudio Engine and Coding Environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A Quick Tour 00:04:00 Introduction to Basics Arithmetic With R 00:03:00 Variable Assignment 00:04:00 Basic data types in R 00:03:00 Vectors Creating a Vector 00:05:00 Naming a Vector 00:04:00 Arithmetic Calculations On Vectors 00:07:00 Vector selection 00:06:00 Selection By Comparison 00:04:00 Matrices What's a Matrix 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding Columns and Rows To a Matrix 00:06:00 Selection of Matrix Elements 00:03:00 Arithmetic with Matrices 00:07:00 Factors What is Factor 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Data Frames What's a Data Frame 00:03:00 Creating a Data Frame 00:04:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Lists Why Would You Need Lists 00:01:00 Creating Lists 00:03:00 Selecting Elements From a List 00:03:00 Adding more data to the list 00:02:00 Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Logical Operators AND, OR, NOT Operators 00:04:00 Logical Operators with Vectors and Matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators Together 00:06:00 Conditional Statements The IF Statement 00:04:00 IFâ¦ELSE 00:03:00 The ELSEIF Statement 00:05:00 Full Exercise 00:03:00 Loops Write a While Loop 00:04:00 Looping With More Conditions 00:04:00 Break: Stop the While Loop 00:04:00 What's a For Loop 00:02:00 Loop Over a Vector 00:02:00 Loop Over a List 00:03:00 Loop Over a Matrix 00:03:00 For Loop With Conditionals 00:01:00 Using Next and Break With For Loop 00:03:00 Functions What is Function 00:02:00 Arguments Matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing Own Functions 00:03:00 Functions With No Arguments 00:02:00 Defining Default Arguments In Functions 00:04:00 Function Scoping 00:02:00 Control Flow in Functions 00:03:00 R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different Ways To Load a Package 00:02:00 The Apply Family - Lapply What Is Lapply and When Is Used. 00:04:00 Use Lapply With User-Defined Functions 00:03:00 Lapply and Anonymous Functions 00:01:00 Use lapply With Additional Arguments 00:04:00 The Apply Family - Sapply & Vapply What is Sapply 00:02:00 How to Use Sapply 00:02:00 Sapply With Your Own Function 00:02:00 Sapply With a Function Returning a Vector 00:02:00 When Can't sapply Simplify. 00:02:00 What is Vapply and Why is it Used. 00:04:00 Useful Functions Mathematical Functions 00:05:00 Data Utilities 00:08:00 Regular Expressions Grepl & Grep 00:04:00 Metacharacters 00:05:00 Sub & Gsub 00:02:00 More Metacharacters 00:04:00 Dates And Times Today and Now 00:02:00 Create and Format Dates 00:06:00 Create and Format Times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Getting and Cleaning Data Get and Set Current Directory 00:04:00 Get Data From the Web 00:04:00 Loading Flat Files 00:05:00 Loading Excel files 00:03:00 Plotting Data in R Base Plotting System 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Data Manipulation With dplyr Introduction to Dplyr Package 00:04:00 Using the Pipe Operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns Component: Mutate() 00:02:00 Columns Ccomponent: Relocate() 00:02:00 Rows Component: Filter() 00:01:00 Rows Component: Slice() 00:04:00 Rows Component: Arrange() 00:01:00 Rows Component: Rowwise() 00:02:00 Grouping of Rows: Summarise() 00:03:00 Grouping of Rows: Across() 00:02:00 COVID-19 Analysis Task 00:08:00 Supplementary Resources Supplementary Resources - Learning R Programming for Data Science 00:00:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00