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
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
Embark on a transformative journey into the world of modern manufacturing with our comprehensive Modern Manufacturing course. Delve into the cutting-edge technologies and advanced techniques that are revolutionizing the manufacturing industry, equipping yourself with the skills and knowledge to thrive in this dynamic field. Explore the intricacies of non-traditional machining processes, gaining in-depth understanding of electric discharge machining, electrochemical machining, abrasive jet machining, ultrasonic machining, laser beam machining, plasma arc machining, and electron beam machining. Discover the principles, applications, and advantages of each technique, mastering the art of selecting the most appropriate method for specific manufacturing tasks. Learning Outcomes Gain a comprehensive understanding of modern manufacturing principles and techniques Master the fundamentals of non-traditional machining processes Explore the principles, applications, and advantages of electric discharge machining Delve into the intricacies of electrochemical machining, abrasive jet machining, and ultrasonic machining Discover the power of laser beam machining, plasma arc machining, and electron beam machining Why choose this Modern Manufacturing 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 Modern Manufacturing course for? Aspiring and current manufacturing engineers seeking to enhance their skills and knowledge in modern manufacturing techniques Individuals interested in pursuing a career in manufacturing engineering or related fields Manufacturing professionals aiming to stay up-to-date with the latest advancements in manufacturing technology Anyone seeking to gain a comprehensive understanding of non-traditional machining processes Individuals interested in expanding their knowledge of modern manufacturing practices Career path Manufacturing Engineer (£35,000 - £55,000) Production Engineer (£40,000 - £60,000) Quality Control Engineer (£40,000 - £60,000) Process Engineer (£45,000 - £65,000) Manufacturing Manager (£50,000 - £70,000) Senior Manufacturing Engineer (£55,000 - £75,000) Prerequisites This Modern Manufacturing does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Modern Manufacturing 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: Introduction Introduction 00:05:00 Unconventional Machining 00:13:00 Types Of Energy 00:03:00 Section 02: Electric Discharge Machining Introduction 00:03:00 Principle And Working 00:11:00 Dielectric Medium 00:08:00 Tool And Wear 00:06:00 Parameters And Functions 00:10:00 Advantages And Applications 00:04:00 Process 00:06:00 Summary 00:02:00 Section 03: Electrochemical Machining Introduction 00:03:00 Principle 00:05:00 Working Mechanism 00:06:00 Tool And Electrolyte 00:13:00 Process Capabilities 00:06:00 Advantages And Applications 00:05:00 Process 00:02:00 Summary 00:02:00 Section 04: Abrasive Jet Machining Introduction 00:03:00 Principle 00:07:00 Setup And Components 00:07:00 Abrasives 00:07:00 Process Parameters 00:08:00 Material Removal Rate 00:09:00 Advantages and Applications 00:05:00 Process 00:02:00 Summary 00:03:00 Section 05: Ultrasonic Machining Introduction 00:02:00 Principle And Working 00:04:00 Machine And Elements 00:07:00 Abrasives 00:08:00 Material Removal Rate 00:10:00 Advantages And Applications 00:04:00 Process 00:03:00 Summary 00:03:00 Section 06: Laser Beam Machining Introduction 00:02:00 Principle 00:04:00 Types Of Laser 00:12:00 Working 00:06:00 Process Characteristics 00:08:00 Advantages And Applications 00:05:00 Process 00:03:00 Summary 00:03:00 Section 07: Plasma Arc Machining Introduction 00:02:00 Principle 00:06:00 Working System 00:07:00 Torches 00:12:00 Process Parameters 00:10:00 Advantages and Applications 00:06:00 Process 00:04:00 Summary 00:02:00 Section 08: Electron Beam Machining Introduction 00:03:00 Principle 00:05:00 Working And Mechanism 00:05:00 Major Components 00:08:00 Parameters And Characteristics 00:07:00 Advantages And Applications 00:05:00 Process 00:01:00 Summary 00:01:00 Section 09: The Finish Line Conclusion 00:01:00 Assignment Assignment - Modern Manufacturing 00:00:00
Warehouse Management: Warehousing, Manual Handling, Supply Chain Management Course Online Are you ready to take your warehouse management skills to the next level? Introducing Warehouse Management: Warehouse Management Course, the comprehensive Warehouse Management: Warehouse Management course designed to equip you with the knowledge and strategies needed to excel in the dynamic world of modern logistics. In today's fast-paced business environment, efficient and effective warehouse management: warehouse management is crucial for any organization's success. The Warehouse Management: Warehouse Management Course goes beyond the basics, providing you with advanced techniques and insights to optimise your warehouse operations and streamline your supply chain. By enrolling in the Warehouse Management: Warehouse Management Course, you will not only enhance your skills and knowledge but also position yourself as a valuable asset in today's highly competitive job market. This Warehouse Management: Warehouse Management Course is suitable for warehouse managers, logistics professionals, supply chain specialists, and anyone aspiring to excel in warehouse management: warehouse management. Don't miss this opportunity to take your career to new heights. Enrol in the Warehouse Management: Warehouse Management Course today and unlock the secrets to achieving operational excellence in the world of logistics. Main Course: Level 5 Warehouse Management Course Free Courses included with Warehouse Management: Warehouse Management Course: Along with Warehouse Management Course you will get free Manual Handling Along with Warehouse Management Course you will get free Supply Chain Management Course Special Offers of this Warehouse Management: Warehouse Management Course; This Warehouse Management: Warehouse Management Course includes a FREE PDF Certificate. Lifetime access to this Warehouse Management: Warehouse Management Course Instant access to this Warehouse Management: Warehouse Management Course 24/7 Support Available to this Warehouse Management: Warehouse Management Course Warehouse Management: Warehousing, Manual Handling, Supply Chain Management Course Online Are you looking to expand your knowledge of warehouse management? You may not be aware, but there is a growing need for knowledgeable and competent warehouse managers. The UK logistics sector is expected to reach £75 billion in revenue by 2023, and with that growth will come a greater demand for skilled warehouse managers. You've found it! You will learn the foundations of warehouse management in this Warehouse Management: Warehouse Management course, along with the skills needed to manage warehouse operations successfully. The e-learning study materials for this Warehouse Management: Warehouse Management course are simple to understand. Who is this course for? Warehouse Management: Warehousing, Manual Handling, Supply Chain Management Course Online Demand for talented warehouse managers is high in recent times. This Warehouse Management: Warehouse Management course could provide you with the edge you need to emerge as the candidate for the job. Whether you’re new to warehouse management or an experienced professional, an endorsed Warehouse Management: Warehouse Management Diploma on your CV could make all the difference. Job opportunities for qualified warehouse management: warehouse management extend to a wide range of industries and sectors, spanning key markets worldwide. Whether you’d prefer to work at home or abroad, this Warehouse Management: Warehouse Management Diploma could broaden your prospects like never before. Requirements Warehouse Management: Warehousing, Manual Handling, Supply Chain Management Course Online To enrol in this Warehouse Management: Warehouse Management Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Warehouse Management: Warehouse Management Course. Be energetic and self-motivated to complete our Warehouse Management: Warehouse Management Course. Basic computer Skill is required to complete our Warehouse Management: Warehouse Management Course. If you want to enroll in our Warehouse Management: Warehouse Management Course you must be at least 15 years old. Career path Warehouse Management: Warehouse Management Upon completing our Warehouse Management online course, you will gain valuable skills and knowledge about Warehouse Management. Here are some potential career opportunities you can pursue after completing this Warehouse Management course: Warehouse Manager Inventory Control Specialist Logistics Coordinator Supply Chain Analyst Operations Supervisor
You will learn how to develop reliable and scalable serverless applications, following the microservices architecture. We will develop event-driven microservices with AWS serverless services that come with the power of the cloud, high availability and high scalability by nature following serverless design patterns and best practices.
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