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Duration 2 Days 12 CPD hours This course is intended for There is no specific prerequisite for the CDRP© course. However, participants who have at least three years' experience in a data centre and/or IT infrastructures will be best suited. Overview After completion of the course, the participant will be able to: 1. Understand the different standards and methodologies for risk management and assessment 2. Establish the required project team for risk management 3. Perform the risk assessment, identifying current threats, vulnerabilities and the potential impact based on customised threat catalogues 4. Report on the current risk level of the data centre both quantitative and qualitative 5. Anticipate and minimise potential financial impacts 6. Understand the options for handling risk 7. Continuously monitor and review the status of risk present in the data centre 8. Reduce the frequency and magnitude of incidents 9. Detect and respond to events when they occur 10. Meet regulatory and compliance requirements 11. Support certification processes such as ISO/IEC 27001 12. Support overall corporate and IT governance Introduction to Risk Management Risk management concepts Senior management and risk Enterprise Risk Management (ERM) Benefits of risk management Data Centre Risk and Impact Risk in facility, power, cooling, fire suppression, infrastructure and IT services Impact of data centre downtime Main causes of downtime Cost factors in downtime Standards, Guidelines and Methodologies ISO/IEC 27001:2013, ISO/IEC 27005:2011, ISO/IEC 27002:2013 NIST SP 800-30 ISO/IEC 31000:2009 SS507:2008 ANSI/TIA-942 Other methodologies (CRAMM, EBIOS, OCTAVE, etc.) Risk Management Definitions Asset Availability/Confidentiality/Integrity Control Information processing facility Information security Policy Risk Risk analysis/Risk assessment/Risk evaluation/ Risk treatment Threat/Vulnerability Types of risk Risk Assessment Software The need for software Automation Considerations Risk Management Process The risk management process Establishing the context Identification Analysis Evaluation Treatment Communication and consultation Monitoring and review Project Approach Project management principles Project management methods Scope Time Cost Cost estimate methods Context Establishment General considerations Risk evaluation, impact and acceptance criteria Severity rating of impact Occurrence rating of probability Scope and boundaries Scope constraints Roles & responsibilities Training, awareness and competence Risk Assessment - Identification The risk assessment process Identification of assets Identification of threats Identification of existing controls Identification of vulnerabilities Identification of consequences Hands-on exercise: Identification of assets, threats, existing controls, vulnerabilities and consequences Risk Assessment - Analysis and Evaluation Risk estimation Risk estimation methodologies Assessment of consequences Assessment of incident likelihood Level of risk estimation Risk evaluation Hands-on exercise: Assessment of consequences, probability and estimating level of risk Risk Treatment The risk treatment process steps Risk Treatment Plan (RTP) Risk modification Risk retention Risk avoidance Risk sharing Constraints in risk modification Control categories Control examples Cost-benefit analysis Control implementation Residual risk Communication Effective communication of risk management activities Benefits and concerns of communication Risk Monitoring and Review Ongoing monitoring and review Criteria for review Risk scenarios Risk assessment approach Data centre site selection Data centre facility Cloud computing UPS scenarios Force majeure Organisational shortcomings Human failure Technical failure Deliberate acts Exam: Certified Data Centre Risk Professional Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Python isn’t just a programming language—it’s the secret weapon behind automation, web development, data analysis, and more. Whether you're aiming to write clean, efficient code or understand how modern applications are built, this course brings the full Python ecosystem to your screen. With a clear, structured journey from the absolute basics to more advanced topics, this masterclass helps you grasp key programming concepts without fluff or filler. Forget drawn-out tech jargon. This course makes coding feel less like solving a mystery and more like connecting the dots. From syntax and loops to functions and object-oriented techniques, each topic is delivered with clarity, a hint of humour, and the kind of logic Python is famous for. Whether you’re starting fresh or polishing old skills, this course offers a solid digital foundation that’s accessible, flexible, and thoroughly built for modern learners who want Python done right. Learning Outcomes: Understand the fundamentals of Python programming and its applications in various industries. Analyse and manipulate data using lists, tuples, strings, and dictionaries in Python. Develop programming solutions using Python's standard libraries and reference files. Create and implement control flow structures using conditions, loops, and statements. Utilise advanced features of Python such as magic methods, properties, and iterators. "Ultimate Python Programming Masterclass" is a comprehensive course bundle designed to equip learners with the knowledge and skills necessary to master Python programming. This course covers a range of topics, including data manipulation, control flow structures, and advanced Python features. With a hands-on approach and real-world programming scenarios, learners will develop the ability to create powerful applications and solutions using Python. This course bundle is ideal for anyone interested in programming or seeking to enhance their programming skills. Whether you're a student, a professional looking to switch careers, or an experienced programmer seeking to learn a new language, "Ultimate Python Programming Masterclass" is the perfect way to take your skills to the next level. Ultimate Python Programming Masterclass Course Curriculum Section 01: Introduction to Python Programming Section 02: Lists & Tuples Section 03: Strings Section 04: Dictionaries Section 05: Dictionaries Methods Section 06: Conditions, Loops and Statements Section 07: Abstraction-I Section 08: Abstraction-II Section 09: Exceptions Section 10: Magic Methods, Properties and Iterators Section 11: Standard Libraries Section 12: Reference Files How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 15 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Students interested in programming and computer science. Professionals seeking to enhance their programming skills. Entrepreneurs and business owners looking to create innovative solutions. Experienced programmers seeking to learn a new language. Individuals looking to switch careers and enter the field of programming. Career path Python Developer: £35,000 - £70,000 Data Analyst: £20,000 - £60,000 Machine Learning Engineer: £40,000 - £90,000 Software Engineer: £25,000 - £80,000 Web Developer: £20,000 - £55,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Negotiation Skills: Negotiation Skills Course Online Unlock the Power of Negotiation Skills: Negotiation Skills Course: Enrol Now! Unlock the power of effective negotiation skills with our dynamic Negotiation Skills course! Learn proven negotiation skills techniques and strategies from industry experts. Master the art of persuasion, communication, and collaboration through hands-on negotiation skills exercises. Elevate your career with unparalleled negotiation skills expertise. Enroll now for success! Courses you will get with Negotiation Skills: Negotiation Skills Course: Main Course: Level 5 Negotiation Skills Course Free Courses included with Negotiation Skills: Negotiation Skills Course Course 01: Residential Letting Course 02: Property Management Course 03: Property Development Course 04: Dealing with Difficult People [ Note: Free PDF certificate as soon as completing the Negotiation Skills: Negotiation Skills Course] Negotiation Skills: Negotiation Skills Course Online This Negotiation Skills: Negotiation Skills Course consists of 12 modules. Assessment Method of Negotiation Skills: Negotiation Skills Course After completing Negotiation Skills: Negotiation Skills Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Certification of Negotiation Skills: Negotiation Skills Course After completing the Negotiation Skills: Negotiation Skills Course, you can instantly download your certificate for FREE. Who is this course for? Negotiation Skills: Negotiation Skills Course Online This Negotiation Skills: Negotiation Skills Course is ideal for candidates committed to their ongoing professional development. Requirements Negotiation Skills: Negotiation Skills Course Online To enrol in this Negotiation Skills: Negotiation Skills Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Negotiation Skills: Negotiation Skills Course. Be energetic and self-motivated to complete our Negotiation Skills: Negotiation Skills Course. Basic computer Skill is required to complete our Negotiation Skills: Negotiation Skills Course. If you want to enrol in our Negotiation Skills: Negotiation Skills Course, you must be at least 15 years old. Career path Negotiation Skills: Negotiation Skills Course Online This Negotiation Skills: Negotiation Skills Course could hold the key to the leadership career of your dreams. Typical job titles in management and leadership include: Team Leader Manager Controller

In property, knowledge is power—and employability. The Estate Agent: 20-in-1 Premium Online Courses Bundle prepares you for career success in one of the UK’s most dynamic and competitive industries. Whether you're aiming to become an estate agent, property manager, or developer, this bundle is designed to sharpen your CV and broaden your opportunities. Loaded with 20 targeted courses, this bundle delivers what property employers value most: initiative, practical know-how, and a professional skillset you can apply from day one. Description The real estate and property sectors require more than just selling skills. Successful candidates are well-versed in compliance, negotiation, property law, surveying, and even financial analysis. That’s why this bundle is a smart move for anyone serious about a career in property sales, lettings, development, property law, construction, or investment. Whether you’re just starting out or transitioning from another industry, this bundle makes your profile more attractive to estate agencies, surveying firms, and real estate investors alike. 🏘️ Built for real-world property roles—without real-world tuition costs. ⏰ Access now before the bundle closes—offers like this don’t last. 📊 Cover all key areas of estate agency in one powerful learning plan. FAQ Q: Who should take this bundle? A: Aspiring estate agents, lettings managers, surveyors, property developers, and admin staff in real estate. Q: What types of roles does it support? A: Sales negotiator, letting agent, property manager, legal executive (property), valuation assistant, and more. Q: Can I take this with no prior experience? A: Yes. The bundle is suitable for beginners and those switching careers. Q: Will I receive certificates? A: Yes. Each course comes with its own certificate to boost your CV and portfolio. Q: Do I need to take the courses in a set order? A: No—complete them in any sequence that suits your goals. Q: Is this bundle discounted for a limited time? A: Yes. This premium offer is currently live but won’t be forever.

This course takes you through the concepts of Alteryx from scratch. With the help of interesting case studies, you will learn how to use Alteryx for joining datasets, performing union operations, finding and replacing text, sorting and filtering data, and a lot more.

Do you think that UI Designers use Photoshop in the same way as other Designers? Do you know what are the basic concepts, settings and tools UI Designers know and you don't? So if you want to learn UI Design with Photoshop and upgrade your confidence and Skill levels in Photoshop; this course is for YOU. This course is equally good for Beginners and Experts so don't worry if you haven't used Photoshop before. Most of us don't know the basic settings, shortcuts, tools and extension we need in Photoshop to become a UI Designer, we make same mistakes and keep on wasting time online searching for different settings and answers to common UI Design issues and problems. What Will I Learn? Start your Career as UI Designer Learn the settings necessary for UI Design Process Learn all the Basic tools of Photoshop for UI Design Start using Photoshop with solid foundation in UI Design Learn all the Photoshop Shortcuts for UI Design How to use Photoshop Extensions to speed up UI Desing Process Tips and Techniques for Efficient usage of Photoshop for UI Design Learn how to use Custom Scripts in Photoshop for UI Design Learn about Color schemes and Typography Online tools Learn how to use Gradients and Patterns in UI Design Create Wireframes and learn the tools needed to create them Learn how to design MODERN DASHBOARD graphs and elements Learn how to design MODERN HERO/HEADERS of Websites Who is the target audience? Novice/Beginner Level Designers Web Designer Graphic Designer Web Developers who wants to learn UI Design UI Designer who wants more advaced techniques Requirements Passion to become a UI Designer Minimum Photoshop CC or Latest version of Photoshop Introductions 1.1) Upload And Review Your Work-1 00:03:00 Setting Up Photoshop for UI Design 2.2) Setting up Photoshop CC Preferences 00:06:00 2.3) Color Profile Settings for ui design 00:05:00 2.5) Creating Custom Shortcut Keys 00:04:00 2.6) Installing scripts in Photoshop 00:06:00 2.8) What area Photoshop Extensions 00:07:00 2.9) Power of Photoshop Extensions 00:09:00 2.10) How to install Extension in mac and win update 00:16:00 (Optional - Can watch at the end) Color Calibration and Monitors for Designers 2.5-1 Color Calibration 00:08:00 2.5-2 Monitor You Need-1 00:02:00 2.5 - 3 OS Based clor Calibration 00:07:00 Basics of Photoshop for Beginners 00.Customize Toolbar 00:04:00 01.how Photoshop interface works 00:05:00 02.creating photoshop new document 00:04:00 03.what are artboards 00:06:00 04.Layers Panel Part 1 00:06:00 05.Layer Panel Filtering And Finding Part 2 00:06:00 07.Type tool 00:05:00 08.Character Panel 00:07:00 09.Paragraph Panel 00:04:00 10.New Shape Tool 00:08:00 12.Deep dive in Pen Tool 00:16:00 12.selections april2017 New 00:07:00 13.pen tool in web design 00:04:00 14.Alignments 00:06:00 15.common-shortcuts 00:15:00 16.Clipping_Masks 00:02:00 17.exercise clipping mask 00:01:00 18.Layer Masks HB 00:05:00 19.smart_objects 00:08:00 20.linked smart objects_Revised 00:07:00 21.Layer comps usage 00:06:00 22 Using Smart Guides In Photoshop-1 00:05:00 Layer Styles Basics for UI Design 1.drop_shadow_layer_effect 00:04:00 2.inner_shadow_UI_Design 00:02:00 3.stroke effect 00:03:00 4. Re-using layer styles 00:02:00 Gradients in Web and UI Design 1.what.are.gradients 00:02:00 2.uses.of.gradients 00:04:00 3.3ways-to-create-gradients 00:05:00 4.how to use gradient editor 00:08:00 5.using-gradient-overlay 00:06:00 Using Patterns in Web and UI Design 1.what are patterns 00:02:00 2. two methods of applying patterns 00:05:00 3.create Pattern From an Img File 00:03:00 04. using .pat files in photoshop 00:05:00 Basics of UI Design | Light, Shadows, Color schemes & Typography 01. How light and shadow works in UI Design 00:01:00 2.examples of lightshadow 00:02:00 3.color schemes for beginners 00:02:00 4.getting scheme from logo and hsb 00:01:00 5.online tools for color schemes 00:06:00 6.how to choose fonts and typography 00:09:00 7.Using Grids for Web Design 00:06:00 8.Creating Grids In Photoshop 00:06:00 UI Design Exercises & Challanges with Step by Step solutions 1.soft-shadow button challange 00:01:00 2.soft_button_solution 00:13:00 3.3d Button Challange 00:01:00 4.Pressed effect in Photoshop 00:07:00 5.modern pattern part 1 00:09:00 6.modern header design part 2 00:09:00 7.moder header design new variation 00:09:00 8.color overlay header 00:11:00 09 Gradienteffect Header Design-audiosynced 00:13:00 9.Actual Exercise Transparent Image Header-1 00:13:00 10.tabs intro 00:01:00 11.tabs-part1 00:14:00 12.tabs-part2 00:08:00 Image Editing 101 for UI Designers 1.removing White Bg With Blending Options 00:03:00 2.Spot Healing brush usage 00:04:00 3.making Colors Pop in Photohsop 00:07:00 4.magnetic Lasso Tool to remove background 00:16:00 5.select And Mask Tool 00:10:00 IOS App Design : Exercise Iphone Food Deals App 1.Gathering Resources IOS App-Design 00:04:00 2.Lets Start The IOS App Design 00:05:00 3.Adding Images To Design the App design 00:06:00 4.Adding Text On App Screen 00:06:00 5.Adding Phone And Book Now Buttons 00:12:00 6.Using Mobile Mockups 00:04:00 UDEMY ONLY App Design Challane-exercise 00:06:00 BONUS: Dribbble styled Dashboard UI Design (Student Request) 1.area graph base design 00:04:00 2area graph grid 00:05:00 3.adding text to graph area 00:08:00 4.drwaing area graph with pen tool 00:04:00 5.designing extras adding dots and hover info 00:06:00 7.final Adjustments To Area Graph-1 00:10:00 8.area graph to line graph 00:04:00 9.circular bar graph base shape.mp4 00:06:00 10.adding Gradients And Shadows To Circular Graphs-1 00:13:00 11.designing stats with text 00:09:00 12.bar Graph Design In Photoshop Pt 00:09:00 13.Bar Graph Adding Text 00:06:00 14.Student-request-ciruclar-percentage graph 00:08:00 Wifreframes in UI Design + Ultimate Web Design Challange 1.what Are Wirefreams 00:00:00 2.Tools Used For Wireframes 00:12:00 Dribbble Shot Redesign Exercise - Student Request dribbble redesig part 1 00:15:00 dribble shot part 2 00:15:00 Exercises : Form UI Design with Photoshop 1.Base Of Login Form 00:07:00 2.Form Fields Design 00:12:00 3.Finishing Form Design 00:12:00 Pro Secret Tips and Tools for Designers and Developers Converting psd to CSS 00:07:00 Exporting Images from Photoshop 00:07:00 Tips on Using Grids 00:02:00 Photoshop Features Updates and New Versions 3.Match Fonts Cc2015.5-1 00:03:00 Cc2018 Update-1 00:04:00

Join us for an in-depth Masterclass on Submodalities for Hypnotherapists, designed to deepen your understanding and mastery of one of the most powerful tools in hypnosis. This class will give you the skills to harness sensory-based techniques to facilitate deep, lasting change in your clients’ emotional, cognitive, and physical experiences.

Step into the world where athletics meets business. The Sports Management: 20-in-1 Premium Online Courses Bundle is engineered to position you for success in today’s competitive sports industry. Whether you’re managing teams, planning logistics, or supporting athlete welfare—this all-in-one career bundle prepares you to hit the hiring radar fast. With 20 role-focused courses, this bundle opens doors to leadership positions in clubs, fitness chains, schools, wellness organisations, and beyond. Get job-ready for the world behind the games. Description Sports management isn’t just about understanding athletes—it’s about mastering the operations that power performance. From coaching and health knowledge to contracts, crisis response, HR, and analytics, this course bundle is a complete toolkit for those who want to lead rather than follow. Ideal for aspiring team managers, event coordinators, wellness supervisors, and fitness administrators, this career-focused bundle enhances your job profile with every completed course. Why take one route when you can cover all bases? You don’t need to work in a stadium to be a game-changer—this bundle prepares you for roles that are constantly in demand and impossible to automate. A smarter, faster way to qualify. A wiser way to invest in your future. FAQ Q: What kinds of roles does this help with? A: Perfect for roles like sports team manager, wellness coordinator, sports admin officer, and club operations manager. Q: Is this suitable for career changers? A: Absolutely. The broad mix of courses makes it a great entry point for professionals switching into the sports or wellness industries. Q: How long do I have to complete the bundle? A: You’ll have lifetime access to all 20 courses—flexibility at its best. Q: Can I add this to my CV or LinkedIn? A: Yes, and you should. Employers want multi-skilled candidates—this bundle proves you are. Q: Why 20 courses? A: Because sports management spans more than one skill. This bundle prepares you for real-life hiring expectations.

Embark on a captivating journey into the realm of Python 3 Programming with our comprehensive course. From unraveling the mysteries of mathematical operators to mastering advanced topics like threading and socket terminology, this course is your gateway to the dynamic world of coding. Engage with hands-on sessions, explore the power of Python libraries, and conquer the art of class implementation. Your digital odyssey begins with the basics and evolves into a sophisticated understanding of programming essentials. Our creatively crafted curriculum promises an exhilarating learning experience, making coding accessible to enthusiasts and novices alike. Learning Outcomes Master the fundamentals of Python 3, from basic math operations to complex string manipulations. Develop practical skills in working with lists, dictionaries, and advanced string manipulation techniques. Gain proficiency in file handling, regex, and navigating systems using the OS library. Understand the principles of classes, inheritance, and the manipulation of date and time. Explore advanced topics such as performing HTTP requests, socket programming, and sending emails using SMTPlib. Why choose this Python 3 Programming 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 Python 3 Programming course for? Individuals eager to start their coding journey without prior programming experience. Students seeking a comprehensive understanding of Python 3 programming. Professionals looking to enhance their skills and stay relevant in the evolving tech landscape. Coding enthusiasts excited to explore the vast possibilities Python 3 offers. Anyone desiring a hands-on and engaging learning experience in programming. Career path Python Developer: £35,000 - £55,000 Data Analyst: £30,000 - £50,000 Software Engineer: £40,000 - £65,000 Machine Learning Engineer: £45,000 - £70,000 Web Developer: £32,000 - £50,000 Network Programmer: £38,000 - £60,000 Prerequisites This Python 3 Programming does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python 3 Programming 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 Section 01 Welcome to Python 3 course! 00:03:00 Why you should learn Python 3 00:04:00 Installing Python 3 on Windows 00:08:00 Installing Python3 on Ubuntu and Mac 00:08:00 Taking a closer look at Python 3 IDLE 00:05:00 Section 02 Math operators 00:12:00 Strings 00:08:00 Variables and variable naming rules 00:11:00 Our first program! 00:12:00 Type, Len, Str, Int, Float , functions 00:09:00 True or false Boolean 00:10:00 IF statement 00:05:00 IF & ELSE 00:13:00 Using ELIF for multiple statements 00:09:00 While loop 00:16:00 Using Continue in a loop 00:06:00 FOR loop 00:10:00 Importing Python libraries 00:12:00 Section 03 Defining functions in Python 3 00:15:00 Local and global variables 00:10:00 Coding guess the number program 00:16:00 Reverse a string function 00:07:00 Calculate area of a circle program 00:11:00 Simple Python calculator 00:15:00 Removing vowels from string program 00:13:00 Find the largest number out of three 00:16:00 Section 04 Python 3 lists 00:15:00 Creating smaller out of bigger list 00:09:00 Manipulating lists and elements 00:08:00 Append, insert, remove, sort 00:11:00 Tuples 00:13:00 Introduction to dictionaries 00:11:00 Values, keys, items, get 00:08:00 Dictionary comprehension - part 1 00:08:00 Dictionary comprehension - part 2 00:07:00 Advance string manipulation 00:12:00 Upper(), lower(), isupper(), islower() 00:09:00 Split, strip, join, startswith, endswith 00:13:00 Section 05 Navigating through system with OS library 00:29:00 Reading and writing to files 00:16:00 Reversing text from a file 00:17:00 Section 06 Try and except 00:13:00 Section 07 Classes 00:22:00 Changing class attributes 00:10:00 Built in class attributes 00:08:00 Using your class in a different program 00:05:00 Using your class in a program 00:26:00 Implementing students count option 00:05:00 Class inheritance 00:12:00 Overriding methods in a class 00:08:00 Section 08 Printing and calculating date and time 00:30:00 Different date formats 00:09:00 Section 09 Extracting useful data 00:23:00 Regex - part 1 00:23:00 Regex - part 2 00:17:00 Section 10 Performing HTTP GET request 00:20:00 Performing post request 00:04:00 Handling website redirections 00:03:00 BeautifulSoup 00:29:00 Encoding in requests 00:12:00 Session and cookies 00:21:00 SSL certificate, authentication 00:21:00 Json library and proxies 00:10:00 Section 11 Socket terminology 00:09:00 Connecting two machines 00:21:00 Coding a chat program 00:35:00 Receiving Desired Amount of Data 00:20:00 Socket Timeout and Options 00:08:00 UDP Server & Client 00:13:00 AF_UNIX & Raw sockets 00:14:00 Section 12 Theory Behind Threaded Server 00:15:00 Thread & Threading 00:50:00 Section 13 Sending Emails Using SMTPlib 00:32:00 PDF Files 00:11:00 Images In Python 00:16:00 Assignment Assignment - Python 3 Programming 00:00:00

Overview In the era where information is abundant and decisions are driven by data, have you ever pondered, 'what is machine learning?' or 'what is data science?' Dive into the realm of 'Data Science & Machine Learning with R from A-Z,' a comprehensive guide to unravel these complexities. This course effortlessly blends the foundational aspects of data science with the intricate depths of machine learning algorithms, all through the versatile medium of R. As the digital economy booms, the demand for machine learning jobs continues to surge. Equip yourself with the proficiency to navigate this dynamic field and transition from being an inquisitive mind to a sought-after professional in the space of data science and machine learning with R. Learning Outcomes: Understand the foundational concepts of data science and machine learning. Familiarise oneself with the R environment and its functionalities. Master data types, structures, and advanced techniques in R. Acquire proficiency in data manipulation and visual representation using R. Generate comprehensive reports using R Markdown and design web applications with R Shiny. Gain a thorough understanding of machine learning methodologies and their applications. Gain insights into initiating a successful career in the data science sector. Why buy this Data Science & Machine Learning with R from A-Z course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Data Science & Machine Learning with R from A-Z there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Data Science & Machine Learning with R from A-Z course for? This course is ideal for Individuals keen on exploring the intricacies of machine learning and data science. Aspiring data analysts and scientists looking to specialise in Machine Learning with R. IT professionals aiming to diversify their skill set in the emerging data-driven market. Researchers seeking to harness the power of R for data representation and analysis. Academics and students aiming to bolster their understanding of modern data practices with R. Prerequisites This Data Science & Machine Learning with R from A-Z does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Science & Machine Learning with R from A-Z 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. Career path Data Scientist - Average salary range: £35,000 - £70,000 Per Annum Machine Learning Engineer - Average salary range: £50,000 - £80,000 Per Annum Data Analyst - Average salary range: £28,000 - £55,000 Per Annum R Developer - Average salary range: £30,000 - £60,000 Per Annum R Shiny Web Developer - Average salary range: £32,000 - £65,000 Per Annum Machine Learning Researcher - Average salary range: £40,000 - £75,000 Per Annum Course Curriculum Data Science and Machine Learning Course Intro Data Science and Machine Learning Introduction 00:03:00 What is Data Science 00:10:00 Machine Learning Overview 00:05:00 Who is This Course for 00:03:00 Data Science and Machine Learning Marketplace 00:05:00 Data Science and Machine Learning Job Opportunities 00:03:00 Getting Started with R Getting Started 00:11:00 Basics 00:06:00 Files 00:11:00 RStudio 00:07:00 Tidyverse 00:05:00 Resources 00:04:00 Data Types and Structures in R Unit Introduction 00:30:00 Basic Type 00:09:00 Vector Part One 00:20:00 Vectors Part Two 00:25:00 Vectors - Missing Values 00:16:00 Vectors - Coercion 00:14:00 Vectors - Naming 00:10:00 Vectors - Misc 00:06:00 Creating Matrics 00:31:00 List 00:32:00 Introduction to Data Frames 00:19:00 Creating Data Frames 00:20:00 Data Frames: Helper Functions 00:31:00 Data Frames Tibbles 00:39:00 Intermediate R Intermediate Introduction 00:47:00 Relational Operations 00:11:00 Conditional Statements 00:11:00 Loops 00:08:00 Functions 00:14:00 Packages 00:11:00 Factors 00:28:00 Dates and Times 00:30:00 Functional Programming 00:37:00 Data Import or Export 00:22:00 Database 00:27:00 Data Manipulation in R Data Manipulation in R Introduction 00:36:00 Tidy Data 00:11:00 The Pipe Operator 00:15:00 The Filter Verb 00:22:00 The Select Verb 00:46:00 The Mutate Verb 00:32:00 The Arrange Verb 00:10:00 The Summarize Verb 00:23:00 Data Pivoting 00:43:00 JSON Parsing 00:11:00 String Manipulation 00:33:00 Web Scraping 00:59:00 Data Visualization in R Data Visualization in R Section Intro 00:17:00 Getting Started 00:16:00 Aesthetics Mappings 00:25:00 Single Variable Plots 00:37:00 Two Variable Plots 00:21:00 Facets, Layering, and Coordinate Systems 00:18:00 Styling and Saving 00:12:00 Creating Reports with R Markdown Creating with R Markdown 00:29:00 Building Webapps with R Shiny Introduction to R Shiny 00:26:00 A Basic R Shiny App 00:31:00 Other Examples with R Shiny 00:34:00 Introduction to Machine Learning Machine Learning Part 1 00:22:00 Machine Learning Part 2 00:47:00 Starting A Career in Data Science Starting a Data Science Career Section Overview 00:03:00 Data Science Resume 00:04:00 Getting Started with Freelancing 00:05:00 Top Freelance Websites 00:05:00 Personal Branding 00:05:00 Importance of Website and Blo 00:04:00 Networking Do's and Don'ts 00:04:00 Assignment Assignment - Data Science & Machine Learning with R 00:00:00