2883 Engineer courses in Ince-in-Makerfield delivered On Demand

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Trigonometry for Electrical Engineering Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Trigonometry for Electrical Engineering Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Trigonometry for Electrical Engineering Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Trigonometry for Electrical Engineering Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Trigonometry for Electrical Engineering? 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 Trigonometry for Electrical Engineering 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 course for? This Trigonometry for Electrical Engineering course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Trigonometry for Electrical Engineering does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Trigonometry for Electrical Engineering 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 As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Trigonometry for Electrical Engineering is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Trigonometry for Electrical Engineering Module 01: Introduction 00:08:00 Module 02: Point Lines & Angles 00:13:00 Module 03: Intersecting & Parallel Lines Triangles 00:11:00 Module 04: Triangles 00:22:00 Module 05: The Pythagorean Theorem 00:10:00 Module 06: Unique Triangles & Ratios 00:13:00 Module 07: Trig Functions & Tangents 00:34:00 Module 08: The Unit Circle 01:20:00 Module 09: Trig Identities 00:42:00 Module 10: Product to Sum Formulas 00:23:00 Module 11: Double & Half Angle Formulas 00:32:00 Module 12: Trig Functions in the Time Domain 00:17:00 Assignment Assignment - Trigonometry for Electrical Engineering 00:00:00

12 in 1 Career Guided Programme | Python, Data Science, ML, Tableau, SQL Programming, Data Mining, Business Analysis | 130 CPD Points | Tutor Support | Lifetime Access

Duco Digital Training's course in BCS Requirements Engineering Practitioner develops your skills in the understanding and application of elicitation, analysis and management of business analysis requirements.

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

This course delves into the world of solar energy, providing comprehensive knowledge about solar power systems, components, installation, and design. From the fundamentals of PV system construction to advanced concepts like charge controllers and solar water pumping, participants will acquire the skills needed to harness the potential of solar energy for various applications. Learning Outcomes: Understand the basics of solar energy, including solar heating, irradiation, and panel technologies. Analyze the effects of insolation and temperature on the V-I curve of solar panels. Perform PV system installations, short circuit, and open circuit tests using appropriate tools. Master the installation of solar wires, cables, and mounting techniques. Evaluate shading, tilt angles, and their impact on solar energy systems. Comprehend charge controllers' significance and differentiate between PWM and MPPT types. Apply half-cut cell technology and design solar systems using junction boxes and inverters. Design complete solar energy systems, including off-grid and on-grid configurations. Why buy this Solar Energy?  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 Solar Energy you will be able to take the MCQ test that will assess your knowledge. 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 course for? This Solar Energy course is ideal for Students pursuing degrees in renewable energy, engineering, or related disciplines. Engineers and technicians seeking to enhance their skills in solar energy systems. Professionals in the construction industry interested in integrating solar solutions. Entrepreneurs looking to venture into the solar energy sector. Prerequisites This Solar Energy 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 Solar Installer: £20,000 - £30,000 Solar Energy Technician: £25,000 - £35,000 Solar System Designer: £30,000 - £40,000 Renewable Energy Engineer: £35,000 - £50,000 Solar Energy Consultant: £40,000 - £60,000. Course Curriculum Unit 1- Basics of Solar Energy System Module 1- Introduction To PV System Construction 00:24:00 Module 2- Solar Heating, Solar Irradiation And Panels 00:38:00 Module 3- Effect of Insolation and Temperature on V-I Curve 00:05:00 Module 4- PV Installation, Short Circuit And Open Circuit Tests Using Avometer 00:15:00 Module 5- Solar Wires And Cables Installation Process 00:22:00 Module 6- Mounting Of PV System 00:04:00 Module 7- Shading and Tilt angle In Solar Energy 00:15:00 Module 8- Half Cut Cell Technology In PV System For Solar Engineering 00:25:00 Module 9- Importance Of Charge Controller In Solar Energy System 00:03:00 Module 10- PWM And MPPT Charge Controllers 00:14:00 Module 11- Understanding More about MPPT Solar Charge Controller For Solar Energy Course 00:24:00 Module 12- Junction Box In Solar Energy System 00:04:00 Module 13- Wiring of Junction Box In Solar Energy System 00:05:00 Module 14- Function, Types And Data Sheet Of Inverter 00:55:00 Module 15- Determining PV Array Maximum System Voltage 00:09:00 Unit 2- Batteries in PV System Module 1- Construction And Types Of Batteries In Solar Energy System 00:09:00 Module 2- Charging Of Lead Acid Batteries And Hydrometer In Solar Energy System 00:07:00 Module 3- Maintenance Of Batteries And Methods Of Charging In Solar Energy System 00:03:00 Module 4- Cycle of Batteries 00:04:00 Unit 3- Components and Design of Off Grid Solar Energy System Module 1- Off-Grid Solar System 00:02:00 Module 2- Advantages of Off-Grid Solar System 00:02:00 Module 3- Equipment of Off-Grid Solar System 00:04:00 Module 4- Selection and Datasheet of the Panel 00:04:00 Module 5- Inverter Selection 00:02:00 Module 6- Example 1 On Designing Off Grid System 00:01:00 Module 7- Determine Power Consumption Demands 00:04:00 Module 8- Size the PV modules 00:05:00 Module 9- Inverter sizing 00:04:00 Module 10- Battery Sizing 00:08:00 Module 11- Solar Charge Controller Sizing 00:05:00 Module 12- MPPT Charge Controller Sizing 00:10:00 Module 13- Example 2 Design of an OFF Grid System 00:20:00 Unit 4- Designing of ON Grid Solar Energy System Module 1- Grid-Tied Solar System 00:03:00 Module 2- Advantages of Grid-Tied Solar System 00:04:00 Module 3- Equipment of Grid-Tied Solar System 00:03:00 Module 4- Example Design of an On Grid System 00:10:00 Module 5- PV Energy According to Area 00:02:00 Unit 5- Design of PV System Using PVSyst Programme Module 1- Design of an Off Grid Solar Energy System Using PVSYST Program 00:28:00 Module 2- Design Of An On Grid Solar Energy System Using PVSyst Program 00:12:00 Module 3- Mega PV System Design Using PVSyst Program For Solar Energy 00:29:00 Unit 6- Solar Water Pumping System Module 1- Introduction To Water Pumping System And Steps Of Design 00:24:00 Module 2- Solved Example On Solar Pumping System Design 00:23:00 Unit 7- Protection of PV System Module 1- Introduction to Protection Of PV System 00:07:00 Module 2- Selection of Fuses and Protection of String 00:13:00 Module 3- Protection of Arrays 00:07:00 Module 4- Protection of Inverter 00:07:00 Module 5- Protection of Transformer 00:07:00 Module 6- Surge Protection Device 00:02:00 Module 7- Grounding of PV System 00:07:00 Module 8- Types of BusBars in PV System and Selection of BusBars 00:12:00 Unit 8- Design Using Excel Sheet Module 1-Design Of Off Grid PV System Using Excel Sheet 00:26:00 Unit 9- Single Line Diagram of PV System Module 1- Single Line Diagram Of PV System And Selection Of Fuses And Breakers 00:45:00 Unit 10- MATLAB and ETAP PV Simulation Module 1- Simulation Of PV Cell In MATLAB And Obtaining V-I Characteristics 00:28:00 Module 2- Get a Complete Grid Connected PV Solar Energy System In MATLAB Simulink 00:25:00 Module 3- PV System Simulation Using ETAP Lesson 00:24:00 Assignment Assignment - Solar Energy 00:00:00

Embark on a transformative journey into the realm of cutting-edge development with our course, 'Master Spring Boot 3.0 and MongoDB.' Crafted with precision and innovation, this course is a gateway to mastering the intricate dance between Spring Boot and MongoDB, providing you with the skills to revolutionize your coding prowess. Immerse yourself in an engaging learning experience, where each section unfolds like a chapter in a captivating novel, unveiling the secrets of MongoDB, the nuances of Bootstrapping applications, and the artistry of integrating OpenAPI. It's more than a course; it's an odyssey into the heart of modern development, beckoning you to embrace a new era of programming possibilities. In this dynamic learning adventure, traverse through the course curriculum like an explorer unraveling a map to success. From laying the groundwork in the introduction to conquering complex queries and MongoDB templates, you'll navigate the landscape of development with confidence. The course is not just about acquiring knowledge; it's about transforming that knowledge into practical expertise. Whether you're a novice eager to embark on a coding expedition or a seasoned developer seeking to enhance your skills, this course is your compass to navigate the vast territories of Spring Boot and MongoDB, promising a voyage filled with discovery and mastery. Learning Outcomes Develop a profound understanding of MongoDB, from environmental preparation to advanced query methods. Master the art of bootstrapping applications, gaining hands-on experience in crafting robust and efficient systems. Uncover the intricacies of collections relationships and the use of DBRef, adding a layer of sophistication to your database interactions. Seamlessly integrate OpenAPI into your projects, enhancing the accessibility and documentation of your applications. Acquire expertise in document queries and MongoDB templates, empowering you to build scalable and efficient databases. Why choose this Master Spring boot 3.0 and MongoDB 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 Master Spring boot 3.0 and MongoDB course for? Aspiring developers keen on mastering the Spring Boot-MongoDB synergy. Software engineers looking to deepen their understanding of advanced database operations. Students and coding enthusiasts eager to explore the latest tools in the development landscape. Professionals seeking to upgrade their skill set in line with industry demands. Entrepreneurs or tech enthusiasts aiming to build robust applications from the ground up. Career path MongoDB Developer: £40,000 - £60,000 Spring Boot Engineer: £45,000 - £70,000 Database Architect: £55,000 - £80,000 Full Stack Developer: £50,000 - £75,000 Java Developer (Specializing in Spring Boot): £45,000 - £65,000 API Integration Specialist: £50,000 - £70,000 Prerequisites This Master Spring boot 3.0 and MongoDB does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Master Spring boot 3.0 and MongoDB 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 What is MongoDB 00:02:00 The Difference Between SQL and NoSQL 00:03:00 How to Choose Between SQL and NoSQL 00:04:00 Section 02: Prepare The Mongo Environment MongoDB UI Tools 00:01:00 Why Use Docker for Development 00:01:00 Create an Empty Docker Compose File 00:02:00 Mongo Server (Docker Compose) 00:04:00 Mongo Express (Docker Compose) 00:03:00 Run and Test 00:03:00 Section 03: Mongo Terms Collections and Documents in Mongo 00:03:00 Section 04: Bootstrapping The Application Create a New Spring Boot 3.0 Project 00:04:00 Project Structure 00:02:00 Include the Docker Compose with the Project and Run It 00:04:00 Project Architecture 00:03:00 Connect to MongoDB 00:03:00 Create a New Database 00:01:00 Understand Admin - Local and Config Databases 00:05:00 Create a Java Class 00:04:00 Transform the Java Class into a Collection 00:02:00 Create a Mongo Repository 00:02:00 Insert the First Data into the Collection 00:06:00 Create a Product Service 00:04:00 Save the product 00:03:00 Find Product by ID 00:01:00 Find All Products 00:01:00 Delete Product 00:01:00 Section 05: CRUD Operations Create Product Controller 00:02:00 Save Product Operation 00:02:00 Find All Products 00:01:00 Find Product by ID 00:01:00 Delete Product 00:02:00 Test the CRUD Operations 00:06:00 Section 06: DBRef And Collections Relationships Extend the Product Model 00:02:00 Create Category Java Class 00:02:00 User Category as a Field 00:03:00 Relationship between Category and Product 00:01:00 Transform the Category to a Collection 00:01:00 Create a Category Repository 00:01:00 Insert Categories at Startup 00:02:00 The Issue in Linking Collections 00:03:00 Add Relationship Between Collections 00:04:00 Section 07: OpenApi Integration Add OpenApi Dependency 00:02:00 Test and Play with Swagger UI 00:06:00 Section 08: Documents Queries And Mongo Template Extend the Product Model 00:02:00 Create a Search Service 00:01:00 What is MongoTemplate 00:02:00 Is() Query 00:07:00 Testing the Is() Query 00:02:00 Regex() Query 00:06:00 Lt() Query 00:03:00 Gt() Query 00:02:00 Sorting Data 00:05:00 Paging and Sorting 00:06:00 Section 09: Query Methods Create a Query Method Service 00:03:00 FindByX Query 00:06:00 FinByX Ignore Case Query 00:02:00 FinByX starting with query 00:03:00 FinByX ending with query 00:02:00 FinByX containing query 00:04:00 FinByX less than 00:02:00 FinByX greater than 00:01:00 FinByX between 00:02:00 FinByX and SortByY 00:04:00 Paging and Sorting 00:07:00

This course is designed to equip electrical engineers with the essential knowledge and tools to analyse and mitigate short-circuit faults in High Voltage three-phase systems. Under expert guidance and hands-on exercises, you will develop the expertise to assess short-circuit conditions and design effective protection schemes for HV three-phase systems. This Course At A Glance Accredited by CPD UK Understand system modelling Know Asymmetrical three-phase fault analysis Understand transformers and per unit analysis Know change of base Understand per unit analysis Learn short-circuit and fault analysis Understand per phase analysis Know symmetrical components Short Circuit Analysis for HV Three Phase Systems Course Overview This short-circuit analysis for short-circuit analysis for HV three-phase systems course is crafted for those who want to upgrade their knowledge in asymmetrical three-phase fault analysis, system modelling, and transformers. You will learn everything about per-phase analysis, per-unit analysis, and change of base. This online course will teach you basic concepts of fault studies on a high voltage three-phase system, methods of system faults, and the ability to analyse faults using symmetrical components. By the end of the course, you will have a solid understanding of the high-voltage three-phase systems, per phase analysis, symmetrical components, and system modelling. Who should take this course? This short-circuit analysis for HV three-phase systems course is suitable for those who want to have deep knowledge in system modelling, understand basic concepts of fault studies on a high-voltage three-phase system and symmetrical components. Entry Requirements There are no academic entry requirements for this short-circuit analysis for HV three-phase systems course, and it is open to students of all academic backgrounds. However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection. Assessment Method This short-circuit analysis for HV three-phase systems course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner can grasp from each section. In the assessment pass mark is 60%. Course Curriculum Introduction Ch - 00 Introduction to Short Circuit Analysis for HV Three Phase Systems course Ch - 01 Short Circuit _ Fault Analysis Overview Ch - 02 Per Phase Analysis Ch - 03 Per Unit Analysis Ch - 04 Change of Base Ch - 05 Transformers & Per Unit Analysis Ch - 06 Symmetrical Components Ch - 07 Asymmetrical Three Phase Fault Analysis Ch - 08 System Modeling Assessment Assessment - Short Circuit Analysis for HV Three Phase Systems Recognised Accreditation CPD Certification Service This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. Certificate of Achievement Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35.   FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

Enhance workplace safety with our comprehensive PAT Testing Training in 2021. Stay up-to-date with the latest industry standards and regulations, ensuring your team is well-equipped to perform Portable Appliance Testing effectively. Gain practical skills, knowledge, and certification for a secure and compliant work environment. Enroll now for the latest PAT Testing Training and empower your team to prioritize electrical safety in the modern workplace.

Dive deep into the vast realm of Python data science with our meticulously crafted course: 'Python Data Science with Numpy, Pandas and Matplotlib'. Explore the intricate details of Python, setting the stage with Pandas and Numpy, before delving into the power of Python data structures. With topics ranging from Python Strings to Matplotlib Histograms, you'll gain a holistic insight, ensuring that every dataset you touch unveils its story compellingly. So, if you're keen on transmuting raw data into visual masterpieces or insights, this journey is tailor-made for you. Learning Outcomes Grasp foundational knowledge of Python and its data structures like strings, lists, and dictionaries. Understand the potential of NumPy, from basic array operations to handling multi-dimensional arrays. Master the versatility of Pandas, encompassing everything from dataframe conversions to intricate operations like aggregation and binning. Efficiently manage, manipulate, and transform data using Pandas' diverse functionalities. Create visually striking and informative graphs using the power of Matplotlib. Why buy this Python Data Science with Numpy, Pandas and Matplotlib 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 Python Data Science with Numpy, Pandas and Matplotlib 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 Python Data Science with Numpy, Pandas and Matplotlib course for? Beginners eager to jumpstart their journey in Python data science. Analysts looking to enhance their data manipulation skills using Python. Statisticians keen on expanding their toolset with Python-based libraries. Data enthusiasts desiring a deep dive into Python's data libraries and structures. Professionals aiming to upgrade their data visualisation techniques. Prerequisites This Python Data Science with Numpy, Pandas and Matplotlib does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python Data Science with Numpy, Pandas and Matplotlib 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: £40,000 - £80,000 Python Developer: £35,000 - £70,000 Data Analyst: £30,000 - £55,000 Business Intelligence Analyst: £32,000 - £60,000 Research Analyst: £28,000 - £52,000 Data Visualization Engineer: £33,000 - £65,000 Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:09:00 Introduction to Python, Pandas and Numpy Introduction to Python, Pandas and Numpy 00:07:00 System and Environment Setup System and Environment Setup 00:08:00 Python Strings Python Strings - Part 1 00:11:00 Python Strings - Part 2 00:09:00 Python Numbers and Operators Python Numbers and Operators - Part 1 00:06:00 Python Numbers and Operators - Part 2 00:07:00 Python Lists Python Lists - Part 1 00:05:00 Python Lists - Part 2 00:06:00 Python Lists - Part 3 00:05:00 Python Lists - Part 4 00:07:00 Python Lists - Part 5 00:07:00 Tuples in Python Tuples in Python 00:06:00 Sets in Python Sets in Python - Part 1 00:05:00 Sets in Python - Part 2 00:04:00 Python Dictionary Python Dictionary - Part 1 00:07:00 Python Dictionary - Part 2 00:07:00 NumPy Library - Introduction NumPy Library Intro - Part 1 00:05:00 NumPy Library Intro - Part 2 00:05:00 NumPy Library Intro - Part 3 00:06:00 NumPy Array Operations and Indexing NumPy Array Operations and Indexing - Part 1 00:04:00 NumPy Array Operations and Indexing - Part 2 00:06:00 NumPy Multi-Dimensional Arrays NumPy Multi-Dimensional Arrays - Part 1 00:07:00 NumPy Multi-Dimensional Arrays - Part 2 00:06:00 NumPy Multi-Dimensional Arrays - Part 3 00:05:00 Introduction to Pandas Series Introduction to Pandas Series 00:08:00 Introduction to Pandas Dataframes Introduction to Pandas Dataframes 00:07:00 Pandas Dataframe conversion and drop Pandas Dataframe conversion and drop - Part 1 00:06:00 Pandas Dataframe conversion and drop - Part 2 00:06:00 Pandas Dataframe conversion and drop - Part 3 00:07:00 Pandas Dataframe summary and selection Pandas Dataframe summary and selection - Part 1 00:06:00 Pandas Dataframe summary and selection - Part 2 00:06:00 Pandas Dataframe summary and selection - Part 3 00:07:00 Pandas Missing Data Management and Sorting Pandas Missing Data Management and Sorting - Part 1 00:07:00 Pandas Missing Data Management and Sorting - Part 2 00:07:00 Pandas Hierarchical-Multi Indexing Pandas Hierarchical-Multi Indexing 00:06:00 Pandas CSV File Read Write Pandas CSV File Read Write - Part 1 00:05:00 Pandas CSV File Read Write - Part 2 00:07:00 Pandas JSON File Read Write Pandas JSON File Read Write Operations 00:07:00 Pandas Concatenation Merging and Joining Pandas Concatenation Merging and Joining - Part 1 00:05:00 Pandas Concatenation Merging and Joining - Part 2 00:04:00 Pandas Concatenation Merging and Joining - Part 3 00:04:00 Pandas Stacking and Pivoting Pandas Stacking and Pivoting - Part 1 00:06:00 Pandas Stacking and Pivoting - Part 2 00:05:00 Pandas Duplicate Data Management Pandas Duplicate Data Management 00:07:00 Pandas Mapping Pandas Mapping 00:04:00 Pandas Grouping Pandas Groupby 00:06:00 Pandas Aggregation Pandas Aggregation 00:09:00 Pandas Binning or Bucketing Pandas Binning or Bucketing 00:08:00 Pandas Re-index and Rename Pandas Re-index and Rename - Part 1 00:04:00 Pandas Re-index and Rename - Part 2 00:05:00 Pandas Replace Values Pandas Replace Values 00:05:00 Pandas Dataframe Metrics Pandas Dataframe Metrics 00:07:00 Pandas Random Permutation Pandas Random Permutation 00:08:00 Pandas Excel sheet Import Pandas Excel sheet Import 00:07:00 Pandas Condition Selection and Lambda Function Pandas Condition Selection and Lambda Function - Part 1 00:05:00 Pandas Condition Selection and Lambda Function - Part 2 00:05:00 Pandas Ranks Min Max Pandas Ranks Min Max 00:06:00 Pandas Cross Tabulation Pandas Cross Tabulation 00:07:00 Matplotlib Graphs and plots Graphs and plots using Matplotlib - Part 1 00:06:00 Graphs and plots using Matplotlib - Part 2 00:02:00 Matplotlib Histograms Matplotlib Histograms 00:03:00 Resource File Resource File - Python Data Science with Numpy, Pandas and Matplotlib 00:00:00

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