6977 Systems courses delivered Online

Airline Cabin Crew / Flight Attendant Training Do you have a burning desire to work in the aviation industry? Our Air Cabin Crew: Cabin Crew Online Diploma Course is your ticket to a job in the air if you've ever imagined yourself as a part of this elite club. This thoroughAir Cabin Crew: Cabin Crew Online Diploma Course provides clear explanations of the jobs, first aid, safety, and security-related aspects of flight time. Also, everything is covered in this Air Cabin Crew: Cabin Crew Online Diploma Course for airline cabin crew, from learning emergency protocols to comprehending the intricate aircraft layout. Also, this Air Cabin Crew: Cabin Crew Online Diploma Course helps to improve your understanding of all of your duties, first aid, and aircraft systems. During this Air Cabin Crew: Cabin Crew Online Diploma Course, you can improve your communication, cultural knowledge, and interpersonal skills. Your perspective on networking systems will change after taking this Air Cabin Crew: Cabin Crew Online Diploma Course. Enrol in the Air Cabin Crew: Cabin Crew Online Diploma Course to fulfil your desire for challenge and adventure! Main Course: Airline Cabin Crew / Flight Attendant Training 3 Exclusive Free Courses included with this Airline Cabin Crew / Flight Attendant Training Course: Along with Airline Cabin Crew / Flight Attendant Training Course, We Offer a free Airport Management Course Along with Airline Cabin Crew / Flight Attendant Training Course, We Offer a free Time Management Course Along with Airline Cabin Crew / Flight Attendant Training Course, We Offer a free Dealing with Difficult People Course Special Offers of this Airline Cabin Crew / Flight Attendant Training Course This Airline Cabin Crew / Flight Attendant Training Course includes a FREE PDF Certificate. Instant Free Certificate to this Airline Cabin Crew / Flight Attendant Training Course. Lifetime access to this Airline Cabin Crew / Flight Attendant Training Course Instant access to this Airline Cabin Crew / Flight Attendant Training Course Get FREE Tutor Support to this Airline Cabin Crew / Flight Attendant Training Course [ Note: Free PDF certificate as soon as completing the Airline Cabin Crew / Flight Attendant Training Course] Airline Cabin Crew / Flight Attendant Training This Air Cabin Crew: Cabin Crew Online Course consists of 18 modules. Course Curriculum of Airline Cabin Crew / Flight Attendant Training Module 1: Introduction to Air Cabin Crew Module 2: Duties and Responsibilities of Cabin Crew Module 3: Aircraft Familiarisation Module 4: Communication Skills Module 5: First Aid Module 6: Psychology of Flying Module 7: Grooming and Presentation Module 8: Interview Skills Module 9: Customer Service Module 10: In-Flight Service Module 11: Safety and Security Module 12: Emergency Procedure Module 13: Aircraft Systems Module 14: Languages Module 15: Cultural Awareness Module 16: Professional Development Module 17: Career Advancement Module 18: Networking Assessment Method of Airline Cabin Crew / Flight Attendant Training Online Course After completing Air Cabin Crew: Air Cabin Crew Online - Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. After completing the Air Cabin Crew: Air Cabin Crew Online - Course, you can instantly download your certificate for FREE. Who is this course for? Airline Cabin Crew / Flight Attendant Training This Airline Cabin Crew / Flight Attendant Training Online Diploma Course is for Individuals with a passion for aviation and a desire to excel in customer service roles. Requirements Airline Cabin Crew / Flight Attendant Training To enrol in this Airline Cabin Crew / Flight Attendant Training Online Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Air Cabin Crew: Cabin Crew Online Course. Be energetic and self-motivated to complete our Air Cabin Crew: Cabin Crew Online Course. Basic computer Skill is required to complete our Air Cabin Crew: Cabin Crew Online Course. If you want to enrol in our Air Cabin Crew: Cabin Crew Online Course, you must be at least 15 years old. Career path Airline Cabin Crew / Flight Attendant Training You may be eligible for employment offers as a junior cabin crew, cabin crew, senior cabin crew, cabin crew manager, or in-flight trainer after completing this Air Cabin Crew: Cabin Crew course.

The need for key staff to have commercial skills is paramount, as the public sector is increasingly opened up as a commercial market, in which organisations compete against each other and the private sector for contracts. Generating additional income and being commercially aware is vital for this to be a success, and is what many public sector organisations are looking to do. This programme will help you: See commercial awareness as not just another skill-set, but as a different mind-set Use a variety of tried-and-tested commercial, analytical decision-making techniques and tools Define your commercial objectives Develop a strategic focus Start looking at service clients as market segments Analyse, in a competitive context, your service offering Plan a commercial strategy, prepare for its implementation and see it through to execution 1 What is commercial thinking? Understand what it means to be a commercial thinker Identifying commercial opportunities often involves not only a different skill set but also a different mindset; looking at the services that you provide 2 Defining strategic commercial objectives Defining your key commercial objectives Prioritising your strategic objectives Two key strategic planning tools:Resource and Competency MatrixPESTLE How to apply these tools to your particular situation 3 Developing a strategic focus Decision-making on how to compete in the markets identified by your strategic objectives requires a strategic focus Developing strategic focus A tool for helping you to make those decisions: using the Ansoff Matrix 4 Defining customer targets How to think more commercially by understanding who all your customers are and how they differ from each other how to apply the principles to your areas to identify the type of customers you have and their key characteristics - Customer segmentation Who are your customers? How do their needs vary? - Scenarios 5 The competitive market place Understanding the competitive forces at play Different types of competition Analysing your competitive environment using Porter's 5 Forces model 6 Meeting stakeholder expectations Two simple models to help you identify the key stakeholders who could influence your commercial environment How to use your stakeholders to help you achieve your commercial objectives 7 Implementation - systems, structures and processes Effective commercial activity involves working with others to implement ideas and strategies What do you need to have in place before you implement your commercial strategy? How to health-check your organisation prior to implementation using the McKinsey 7S framework 8 Implementation - people and culture A good commercial strategy only works if the people involved buy in to the ideas and if the culture of the organisation is conducive to the effective implementation How the latest thinking in behavioural economics can help you develop your culture and people to work commercially 9 Tools and checklists Be more commercial within your sphere of influence using a commercial checklist to help you Using the checklist as a benchmark against the most commercially aware organisations Using the checklist as a health check - both corporately and individually

Unlock your creative prowess in the exhilarating realm of game development through this course. This step-by-step guide empowers you to grasp the nuances of crafting captivating 2D games using Python and the robust Pygame library. Understanding of concepts such as control flow, data structures, and object-oriented programming would be beneficial.

Description: The Functional Maths Skills Training aims to provide great insight into the skills and knowledge needed to help prepare you for taking your formal Functional Skills Maths exam, using teaching methods based on the most recent updates within the National Curriculum. This course helps you improve your Maths skills whatever your starting point is. It will cover different areas of maths learning including working with numbers, understanding percentages everyday measurements and much more. The course is delivered by experienced tutors who will use real life and work examples like checking bills, budgeting, calculating percentages, getting the best value for money, averages, using metric and imperial measuring systems; working out perimeter, area and volume and much more. This course will improve maths skills using a problem-solving approach. It can be tailored around specific needs of the business. Assessment: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Functional Maths Skills Training is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Functional Maths Skills Training is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Integers Lecture 1 Introduction 00:02:00 Lecture 2 Multiplying any digit number by 11, 22, and 33.mp4 00:09:00 Lecture 3 Integers and ordering of integers 00:06:00 Lecture 5 Operations on Integers 00:04:00 Lecture 6 Multiplication and Division of Integers 00:04:00 Lecture 7 Powers of Integers (Exponents) 00:04:00 Factors and Multiples Lecture 8 Complete knowledge about factors and multiples 00:06:00 Lecture 9 Divisibility tests for 2,3,4,5,6 00:07:00 Lecture 10 Divisibility rules 7,8,9,10,11 00:06:00 Lecture 11 Prime Factorization 00:06:00 Lecture 12 Highest Common Factor HCF 00:10:00 Lecture 13 Least Common Multiple LCM 00:16:00 Lecture 14 Relation between LCM and HCF 00:04:00 Fractions Lecture 15 Classification of Fractions 00:04:00 Lecture 16 Convert mixed to improper and improper to mixed fractions 00:03:00 Lecture 17 Equivalent Fractions 00:04:00 Lecture 18 Comparing Fractions after converting to like fractions 00:09:00 Lecture 19 Reducing a fraction to lowest term 00:04:00 Lecture 20 Addition and subtraction OF fractions 00:08:00 Lecture 21 Multiplication and division of fractions 00:11:00 Lecture 22 Word problems on fractions 00:16:00 Simplification Rule : BODMAS Lecture 23 BODMAS and rules to remove brackets 00:03:00 Lecture 24 Simplify expressions using BODMAS rules 00:05:00 Lecture 25 Simplify expressions involving fractions using BODMAS 00:07:00 Decimal numbers Lecture 26 Decimal numbers in relation to fractions 00:08:00 Lecture 27 Like and unlike Decimals 00:05:00 Lecture 28 Ordering of Decimal numbers 00:10:00 Lecture 29 Addition and subtraction of Decimal 00:07:00 Lecture 30 Multiplication of Decimal 00:03:00 Lecture 31 Division of Decimal 00:05:00 Rational Numbers Lecture 32 Rational number 00:02:00 Lecture 33 Representation of Rational Numbers on Number line 00:04:00 Lecture 34 Determining which fraction is terminating or non terminating 00:05:00 Lecture 35 shortcut method of writing decimal expansion of fraction to decimal 00:08:00 Approximation Lecture 36 Rounding to whole number 00:06:00 Lecture 37 Rounding to required number of decimals (1 d.p. ) 00:05:00 Lecture 38 rounding to significant digits 00:07:00 Lecture 39 Practice question on three methods of approximation 00:05:00 Estimation and Scientific Notation or Standard form Lecture 40 Estimation 00:05:00 Lecture 41 Scientific Notation 00:07:00 Lecture 42 Operation on numbers when they are in scientific notation 00:06:00 Percentage Lecture 43 Percentage to fraction and fraction to percentage 00:06:00 Lecture 44 Percentage of a quantity and conversation to decimal 00:06:00 Lecture 45 Expressing one quantity as percentage of another quantity 00:06:00 Lecture 46 Finding increase decrease percent 00:05:00 Lecture 47 Uses of percentages-Word Problems 00:09:00 Ratio and Proportion Lecture 48 Ratio- How to express as simple ratio 00:09:00 Lecture 49 How to compare Ratios 00:04:00 Lecture 50 Word problems on finding ratios 00:07:00 Lecture 51To divide a given quantity into a given Ratio 00:11:00 Lecture 52 Proportion 00:04:00 Lecture 53 Practice problems on Proportion 00:06:00 Lecture 54 Continued proportion 00:06:00 Unitary Method and its Applications Lecture 55 Direct Variation ( or proportion) 00:04:00 Lecture 56 Problems based on Direct proportion 00:10:00 Lecture 57 Inverse Variation ( or proportion) 00:10:00 Lecture 58 Multiple Ratios 00:10:00 Profit , Loss, discount and Tax Lecture 59 Basics - Profit and Loss 00:04:00 Lecture 60 More practice problems on Profit & Loss 00:06:00 Lecture 61 Selling price formula and Problems 00:04:00 Lecture 62 Cost price formula and Problems 00:03:00 Lecture 63 Higher problems on Profit and Loss 00:08:00 Lecture 64 Basics - Discount.mp4 00:05:00 Lecture 65 Practice problems on Discount 00:04:00 Lecture 66 Tax 00:06:00 Math Techniques Lecture 2 Multiplying any digit number by 11, 22, and 33 00:09:00 Lecture 3 Finding remainder when a number of any digits is divided by 9 00:04:00 Lecture 4 Multiplying any digit number by series of 9; 99; 999; 99999 Part 1 00:08:00 Lecture 5 Multiplying any digit number by series of 9; 99 ; 999 ; 99999 Part 2 00:07:00 Lecture 6 Product of two numbers below the base number 100; 1000 etc 00:08:00 Lecture 7 Multiplication of Numbers above the base 1000; 10000; 100000 etc 00:08:00 Lecture 8 Multiplication of numbers one above the base and second less than the base 00:06:00 Lecture 9 multiplying any two digit numbers using Vertically and Crosswise 00:04:00 Lecture 10 Multiplying three digit numbers using Vertically and Crosswise 00:05:00 Lecture 11 Multiplying any digit number by 5, 25, and 125 faster than calculator 00:07:00 Lecture 12 Squaring numbers that end in 5 using Vedic Math 00:04:00 Lecture 13 Squaring two digit numbers mentally Using Vedic Math technique 00:06:00 Lecture 14 Squaring three digit numbers mentally Using Vedic Math technique 00:05:00 Lecture 15 Finding cube of any two digit number faster than calculator 00:10:00 Lecture 16 Approximate value of square root of numbers which are not perfect squares 00:09:00 Lecture 17 Approximate value of cube root of numbers which are not perfect cubes 00:05:00 Short Tricks Lecture 18 Short tricks to count Number of Squares in given figure 00:05:00 Lecture 19 Short tricks to count Number of Rectangles in given figure 00:03:00 Lecture 20 Short tricks to count Number of triangles in given figure 00:04:00 Lecture 21 Finding Day of the week when any date is given in 2 Seconds mentally 00:12:00 Simplify calculations super fast Lecture 22 Digital sum of a number 00:04:00 Lecture 23 Digital sum- Addition and Subtraction 00:10:00 Lecture 24 Digital sums- Multiplication 00:07:00 Lecture 25 Digital sum- divisions 00:08:00 Simplification short cuts for complicated fractions and square root problems Lecture 26 Simplification short tricks for complicated fractions 00:10:00 Lecture 27 Simplification short tricks for fractions series part 1 00:07:00 Lecture 28 Simplification short tricks for fractions series part 2 00:05:00 Lecture 29 Simplification short tricks for complicated square root problems 00:09:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00

Duration 3.75 Days 22.5 CPD hours This course is intended for New systems administrators Overview When you complete this course, you will be able to:Customize your application, including page layouts, fields, tabs, and business processes in Lightning Experience.Learn how security settings created in Salesforce Classic are applied in Lightning.Maintain and import clean data in Lightning.Use Lightning features to create high-value reports and dashboards.Understand how workflow automation complies with Lightning This course is the core training that ensures your success with Salesforce Lightning. It?s a must for new administrators, and we recommend completing this course before starting a Salesforce deployment or when taking over an existing deployment. Getting Around the App Data Model and Navigation Lightning Experience Help & Training Getting Your Organization Ready for Users Setting Up the Company Profile Configuring the User Interface Setting Up Activities and Calendars Configuring Search Settings Setting Up Chatter Groups Mobile Access with Salesforce1 Setting Up & Managing Users Managing User Profiles Managing Users Setting Up Chatter Free Users and Invites Troubleshooting Login Issues Security & Data Access Restricting Logins Determining Object Access Setting Up Record Access Creating a Role Hierarchy Dealing with Record Access Exceptions Managing Field-level Security Object Customizations Administering Standard Fields Creating New Custom Fields Creating Selection Fields: Picklists and Lookups Creating Formula Fields Working with Page Layouts Working with Record Types and Business Processes Maintaining Data Quality Managing Data Import Wizards Data Loader Data.com Mass Transfer Backing Up Data Mass Delete and Recycle Bin Reports & Dashboards Running and Modifying Reports Creating New Reports with the Report Builder Working with Report Filters Summarizing with Formulas and Visual Summaries Printing, Exporting, and Emailing Reports Building Dashboards Automation Email Templates Workflow Rules Process Builder Lead Automation Managing the Support Process Managing and Resolving Cases Customizing a Support Process Automating Support Understanding the Salesforce Console for Service Collaborating in the Service Cloud Analyzing Support Data Additional course details: Nexus Humans Salesforce Administration Essentials for New Admins in Lightning Experience (ADX201) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Salesforce Administration Essentials for New Admins in Lightning Experience (ADX201) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

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

Register on the SQL NoSQL Big Data and Hadoop today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The SQL NoSQL Big Data and Hadoop is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The SQL NoSQL Big Data and Hadoop Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the SQL NoSQL Big Data and Hadoop, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Section 01: Introduction Introduction 00:07:00 Building a Data-driven Organization - Introduction 00:04:00 Data Engineering 00:06:00 Learning Environment & Course Material 00:04:00 Movielens Dataset 00:03:00 Section 02: Relational Database Systems Introduction to Relational Databases 00:09:00 SQL 00:05:00 Movielens Relational Model 00:15:00 Movielens Relational Model: Normalization vs Denormalization 00:16:00 MySQL 00:05:00 Movielens in MySQL: Database import 00:06:00 OLTP in RDBMS: CRUD Applications 00:17:00 Indexes 00:16:00 Data Warehousing 00:15:00 Analytical Processing 00:17:00 Transaction Logs 00:06:00 Relational Databases - Wrap Up 00:03:00 Section 03: Database Classification Distributed Databases 00:07:00 CAP Theorem 00:10:00 BASE 00:07:00 Other Classifications 00:07:00 Section 04: Key-Value Store Introduction to KV Stores 00:02:00 Redis 00:04:00 Install Redis 00:07:00 Time Complexity of Algorithm 00:05:00 Data Structures in Redis : Key & String 00:20:00 Data Structures in Redis II : Hash & List 00:18:00 Data structures in Redis III : Set & Sorted Set 00:21:00 Data structures in Redis IV : Geo & HyperLogLog 00:11:00 Data structures in Redis V : Pubsub & Transaction 00:08:00 Modelling Movielens in Redis 00:11:00 Redis Example in Application 00:29:00 KV Stores: Wrap Up 00:02:00 Section 05: Document-Oriented Databases Introduction to Document-Oriented Databases 00:05:00 MongoDB 00:04:00 MongoDB Installation 00:02:00 Movielens in MongoDB 00:13:00 Movielens in MongoDB: Normalization vs Denormalization 00:11:00 Movielens in MongoDB: Implementation 00:10:00 CRUD Operations in MongoDB 00:13:00 Indexes 00:16:00 MongoDB Aggregation Query - MapReduce function 00:09:00 MongoDB Aggregation Query - Aggregation Framework 00:16:00 Demo: MySQL vs MongoDB. Modeling with Spark 00:02:00 Document Stores: Wrap Up 00:03:00 Section 06: Search Engines Introduction to Search Engine Stores 00:05:00 Elasticsearch 00:09:00 Basic Terms Concepts and Description 00:13:00 Movielens in Elastisearch 00:12:00 CRUD in Elasticsearch 00:15:00 Search Queries in Elasticsearch 00:23:00 Aggregation Queries in Elasticsearch 00:23:00 The Elastic Stack (ELK) 00:12:00 Use case: UFO Sighting in ElasticSearch 00:29:00 Search Engines: Wrap Up 00:04:00 Section 07: Wide Column Store Introduction to Columnar databases 00:06:00 HBase 00:07:00 HBase Architecture 00:09:00 HBase Installation 00:09:00 Apache Zookeeper 00:06:00 Movielens Data in HBase 00:17:00 Performing CRUD in HBase 00:24:00 SQL on HBase - Apache Phoenix 00:14:00 SQL on HBase - Apache Phoenix - Movielens 00:10:00 Demo : GeoLife GPS Trajectories 00:02:00 Wide Column Store: Wrap Up 00:04:00 Section 08: Time Series Databases Introduction to Time Series 00:09:00 InfluxDB 00:03:00 InfluxDB Installation 00:07:00 InfluxDB Data Model 00:07:00 Data manipulation in InfluxDB 00:17:00 TICK Stack I 00:12:00 TICK Stack II 00:23:00 Time Series Databases: Wrap Up 00:04:00 Section 09: Graph Databases Introduction to Graph Databases 00:05:00 Modelling in Graph 00:14:00 Modelling Movielens as a Graph 00:10:00 Neo4J 00:04:00 Neo4J installation 00:08:00 Cypher 00:12:00 Cypher II 00:19:00 Movielens in Neo4J: Data Import 00:17:00 Movielens in Neo4J: Spring Application 00:12:00 Data Analysis in Graph Databases 00:05:00 Examples of Graph Algorithms in Neo4J 00:18:00 Graph Databases: Wrap Up 00:07:00 Section 10: Hadoop Platform Introduction to Big Data With Apache Hadoop 00:06:00 Big Data Storage in Hadoop (HDFS) 00:16:00 Big Data Processing : YARN 00:11:00 Installation 00:13:00 Data Processing in Hadoop (MapReduce) 00:14:00 Examples in MapReduce 00:25:00 Data Processing in Hadoop (Pig) 00:12:00 Examples in Pig 00:21:00 Data Processing in Hadoop (Spark) 00:23:00 Examples in Spark 00:23:00 Data Analytics with Apache Spark 00:09:00 Data Compression 00:06:00 Data serialization and storage formats 00:20:00 Hadoop: Wrap Up 00:07:00 Section 11: Big Data SQL Engines Introduction Big Data SQL Engines 00:03:00 Apache Hive 00:10:00 Apache Hive : Demonstration 00:20:00 MPP SQL-on-Hadoop: Introduction 00:03:00 Impala 00:06:00 Impala : Demonstration 00:18:00 PrestoDB 00:13:00 PrestoDB : Demonstration 00:14:00 SQL-on-Hadoop: Wrap Up 00:02:00 Section 12: Distributed Commit Log Data Architectures 00:05:00 Introduction to Distributed Commit Logs 00:07:00 Apache Kafka 00:03:00 Confluent Platform Installation 00:10:00 Data Modeling in Kafka I 00:13:00 Data Modeling in Kafka II 00:15:00 Data Generation for Testing 00:09:00 Use case: Toll fee Collection 00:04:00 Stream processing 00:11:00 Stream Processing II with Stream + Connect APIs 00:19:00 Example: Kafka Streams 00:15:00 KSQL : Streaming Processing in SQL 00:04:00 KSQL: Example 00:14:00 Demonstration: NYC Taxi and Fares 00:01:00 Streaming: Wrap Up 00:02:00 Section 13: Summary Database Polyglot 00:04:00 Extending your knowledge 00:08:00 Data Visualization 00:11:00 Building a Data-driven Organization - Conclusion 00:07:00 Conclusion 00:03:00 Resources Resources - SQL NoSQL Big Data And Hadoop 00:00:00

Navigating the world of education brings challenges, and the realm of Special Education Needs (SEN) presents a unique set of opportunities. The UK has witnessed a rising demand for skilled specialists to understand and aid SEN students. This SEN Teaching Assistant Diploma is your key to unlocking those doors. Fused with a curriculum that intertwines foundational knowledge with nuanced techniques, it positions you at the heart of this burgeoning sector. Whether you're manoeuvring through communication intricacies, diving into SEN teaching methodologies, or building robust support systems, this SEN Teaching Assistant Diploma encapsulates it all. As more schools and institutions recognise the importance of tailored education for SEN students, your expertise will be a sought-after commodity. Dive in, and ride the wave of SEN education transformation in the UK. You Will Learn Following Things: Understand the foundation of Special Education Needs (SEN). Gain knowledge on providing comprehensive SEN support. Explore effective teaching practices for SEN pupils. Dive into the intricacies of communication and interaction. Grasp techniques for managing various SEN challenges. Develop collaborative approaches for inclusive education. This course covers the topics you must know to stand against the tough competition. The future is truly yours to seize with this SEN Teaching Assistant Online. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-to-one support from a dedicated tutor throughout your course. Study online - whenever and wherever you want. Instant Digital/ PDF certificate 100% money back guarantee 12 months access This course covers everything you must know to stand against the tough competition. The future is truly yours to seize with this SEN Teaching Assistant Online. Enrol today and complete the course to achieve a certificate that can change your career forever. Process of Evaluation After studying the course, your skills and knowledge will be tested with an MCQ exam or assignment. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement After completing the SEN Teaching Assistant Online course, you will receive your CPD-accredited Digital/PDF Certificate for £5.99. To get the hardcopy certificate for £12.99, you must also pay the shipping charge of just £3.99 (UK) and £10.99 (International). Who Is This Course for? This SEN Teaching Assistant Diploma is tailor-made for individuals passionate about making a difference in the lives of children with Special Education Needs (SEN). Whether you're an educator looking to enhance your skill set, a career changer aiming for a more rewarding path, or a current SEN assistant wishing to expand your knowledge base, this SEN Teaching Assistant Diploma offers a comprehensive understanding of SEN. Covering a broad spectrum from teaching methodologies to social and emotional facets, it ensures participants are well-equipped to cater to diverse needs. The curriculum's design ensures that students learn theoretically and understand practical applications, making them invaluable assets in educational settings. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the SEN Teaching Assistant Online 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 course. Career Path SEN Teaching Assistant - £18K to 25K/year. Inclusion Manager - £25K to £32K/year. Special Needs Coordinator - £28K to £35K/year. Learning Support Assistant - £16K to £22K/year. Behaviour Support Worker - £20K to £28K/year. Course Curriculum SEN Teaching Assistant Module 01: Special Education Needs (SEN) An Overview 00:08:00 Module 02: SEN Support 00:12:00 Module 03: High Quality Teaching for Pupils with SEN 00:09:00 Module 04: SEN Teaching Methodologies 00:20:00 Module 05: Communication and Interaction 00:16:00 Module 06: Cognition and Learning 00:20:00 Module 07: Social, Emotional and Mental Health Difficulties 00:11:00 Module 08: Sensory or Physical Needs 00:15:00 Module 09: Working in Partnership 00:09:00 Mock Exam Mock Exam - SEN Teaching Assistant 00:20:00 Final Exam Final Exam - SEN Teaching Assistant 00:20:00 Assignment Assignment - SEN Teaching Assistant 00:00:00

Elevate your expertise in warehousing and storage with our comprehensive course for inventory managers. Explore fundamental principles, efficient warehouse design, streamlined operations, inventory control strategies, safety protocols, performance metrics, and emerging trends. Gain the knowledge to optimize your warehouse for success in the ever-evolving world of logistics and supply chain management.