253 Courses in Nottingham delivered On Demand

Embark on a transformative journey into the realm of programming with our Intermediate Python Coding course. Picture yourself delving deeper into the world of Python, a language known for its versatility and efficiency. This course begins with a refresher introduction, setting a solid foundation before advancing to more complex concepts. It's designed not just to teach but to immerse you in the intricacies of Python. From understanding the fundamentals of classes and methods to unraveling the complexities of Object-Oriented Programming (OOP), each section is a step towards mastering this powerful programming language. Whether you're looking to enhance your coding skills for professional growth or personal satisfaction, this course bridges the gap between basic understanding and advanced proficiency. As you progress, you'll explore the sophisticated elements of Python, including inheritance, polymorphism, encapsulation, and abstraction. These concepts are not just taught theoretically; you'll see them come to life through practical applications, especially in the creation of Python games. This hands-on approach ensures that you're not just learning concepts but also applying them in real-world scenarios. The course also delves into Python's extensive libraries as you learn about modules, packages, and data handling with Pandas. Completing the course with error and exception handling, you emerge not just as someone who can code but as a problem-solver who can navigate through challenges and create efficient, elegant solutions. Learning Outcomes Gain a deeper understanding of Python classes, methods, and OOP principles. Develop skills in implementing inheritance, polymorphism, encapsulation, and abstraction in Python. Create interactive Python games and applications to apply coding skills practically. Learn to manage and utilise Python modules, packages, and the Pandas library. Master error and exception handling in Python for robust coding. Why choose this Intermediate Python Coding 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 Intermediate Python Coding course for? Programmers looking to advance from basic to intermediate Python skills. Computer science students seeking a deeper understanding of Python. Software developers aiming to enhance their proficiency in Python. Data analysts and scientists interested in leveraging Python's capabilities. Hobbyists and tech enthusiasts keen on developing Python applications. Career path Software Developer: £30,000 - £60,000 Data Analyst: £25,000 - £50,000 Python Developer: £28,000 - £55,000 Machine Learning Engineer: £32,000 - £70,000 Data Scientist: £35,000 - £75,000 Back-end Developer: £27,000 - £53,000 Prerequisites This Beginner to Intermediate Python Coding does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Beginner to Intermediate Python Coding 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 Course Introduction 00:02:00 Course Curriculum 00:05:00 How to get Pre-requisites 00:02:00 Getting Started on Windows, Linux or Mac 00:01:00 How to ask Great Questions 00:02:00 Section 02: Class Introduction to Class 00:07:00 Create a Class 00:09:00 Calling a Class Object 00:08:00 Class Parameters - Objects 00:05:00 Access Modifiers(theory) 00:10:00 Summary 00:02:00 Section 03: Methods Introduction to methods 00:06:00 Create a method 00:07:00 Method with parameters 00:12:00 Method default parameter 00:06:00 Multiple parameters. 00:05:00 Method return keyword. 00:04:00 Method Overloading. 00:05:00 Summary 00:02:00 Section 04: OOPs Object-Oriented Programming Introduction to OOPs 00:05:00 Classes and Objects 00:08:00 Class Constructors 00:07:00 Assessment Test1 00:01:00 Solution for Assessment Test1 00:03:00 Summary 00:01:00 Section 05: Inheritance and Polymorphism Introduction 00:04:00 Inheritance 00:13:00 Getter and Setter Methods 00:12:00 Polymorphism 00:13:00 Assessment Test2 00:03:00 Solution for Assessment Test2 00:03:00 Summary 00:01:00 Section 06: Encapsulation and Abstraction Introduction 00:03:00 Access Modifiers (public, protected, private) 00:21:00 Encapsulation 00:07:00 Abstraction 00:07:00 Summary 00:02:00 Section 07: Python Games for Intermediate Introduction 00:01:00 Dice Game 00:06:00 Card and Deck Game Playing 00:07:00 Summary 00:01:00 Section 08: Modules and Packages Introduction 00:01:00 PIP command installations 00:12:00 Modules 00:12:00 Naming Module 00:03:00 Built-in Modules 00:03:00 Packages 00:08:00 List Packages 00:03:00 Summary 00:02:00 Section 09: Working Files with Pandas Introduction 00:02:00 Reading CSV files 00:11:00 Writing CSV files 00:04:00 Summary 00:01:00 Section 10: Error and ExceptionHandling Introduction 00:01:00 Errors - Types of Errors 00:08:00 Try - ExceptExceptions Handling 00:07:00 Creating User-Defined Message 00:05:00 Try-Except-FinallyBlocks 00:07:00 Summary 00:02:00

Overview of Data Science & Machine Learning with Python Join our Data Science & Machine Learning with Python course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Science & Machine Learning with Python course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Data Science & Machine Learning with Python course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Data Science & Machine Learning with Python Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Science & Machine Learning with Python. 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. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Data Science & Machine Learning with Python course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Data Science & Machine Learning with Python is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python 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 The certification and skills you get from this Data Science & Machine Learning with Python Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:04:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:06:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Data Science & Machine Learning with Python 00:00:00

The course helps you learn how to program with Python without any prior experience. The course also emphasizes learning the Django framework. You'll work on 4 major projects that will ensure that you have acquired and implemented your newly added skills to make Python-based websites with Django.

Overview of Heating, Ventilation & Air Conditioning (HVAC) Technician Whether it's the middle of a heatwave or the depths of winter, we rely on our heating and cooling systems to keep us comfortable. As an HVAC technician, you'll be at the frontline, maintaining homes and businesses running smoothly. According to the Office for National Statistics, over 170,000 HVAC engineers are in the UK, with demand growing as climate change leads to more extreme temperatures. This comprehensive Heating, Ventilation & Air Conditioning (HVAC) Technician course covers everything you need - from the fundamentals of thermodynamics to safety procedures.  Empower your future with the knowledge and skills to keep the world comfortable and relaxed. Enrol today and unlock the potential within you! Get a Quick Look at The Course Content: This Heating, Ventilation & Air Conditioning (HVAC) Technician Course will help you to learn: Explain the principles of heating, ventilation and air conditioning systems. Identify and select appropriate HVAC equipment and tools. Installed, maintained, and repaired HVAC systems and components. Follow safety procedures for working with electrical, gas and refrigeration systems. Troubleshoot faults in HVAC systems and carry out diagnostic tests. Communicate effectively with clients to diagnose issues. This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Heating, Ventilation & Air Conditioning (HVAC) Technician. 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. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Heating, Ventilation & Air Conditioning (HVAC) Technician course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? Individuals looking to start a career as an HVAC technician or engineer. Technicians want to expand their skills and knowledge in the field. Experienced HVAC professionals are seeking a refresher or certification. Builders, electricians and plumbers are looking to diversify their services. Facilities managers are responsible for maintaining HVAC systems. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Heating, Ventilation & Air Conditioning (HVAC) Technician 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 The certification and skills you get from this Heating, Ventilation & Air Conditioning (HVAC) Technician Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. HVAC Engineer - £30k to £48k per year. Service Technician - £21k to £31k per year. Installation Technician - £22k to £45k per year. Facilities Manager - £30k to £60k per year. HVAC Inspector - £35k to £55k per year. Frequently Asked Questions (FAQ's) Q. How do I purchase a course? 1. You need to find the right course on our IOMH website at first. You can search for any course or find the course from the Courses section of our website. 2. Click on Take This Course button, and you will be directed to the Cart page. 3. You can update the course quantity and also remove any unwanted items in the CART and after that click on the Checkout option and enter your billing details. 4. Once the payment is made, you will receive an email with the login credentials, and you can start learning after logging into the portal. Q. I have purchased the course when will I be able to access the materials? After purchasing the course, you should receive an email with the login credentials within 24 hours. Please check your spam or junk folder if you didn't receive it in your inbox. You can access your courses by logging into your account. If you still need any assistance, please get in touch with our Customer Support team by providing the details of your purchase. Q. I haven't received my certificate yet. What should I do? You should receive your Digital Certificate within 24 hours after placing the order, and it will take 3-9 days to deliver the hard copies to your address if you are in the UK. For International Delivery, it will take 20-25 days. If you require any assistance, get in touch with our dedicated Customer Support team, and your queries/issues will be dealt with accordingly. Q. I don't have a credit/debit card, what other methods of payment do you accept? You can make the payment using PayPal or you can Bank Transfer the amount. For Bank transfer you will require an invoice from us and you need to contact our Customer Support team and provide details of your purchase to get the invoice. After that, you will receive an email with the invoice and bank details and you can make the payment accordingly. Q. Can I do the courses from outside UK? We are an online course provider, and learners from anywhere in the world can enrol on our courses using an internet-connected device. Q. When I log into the account it says 'Contact Administrator'. To resolve this issue, please log out of your account and then log back in. Course Curriculum Heating, Ventilation & Air Conditioning (HVAC) Technician Module 01: Introduction to Heating, Ventilation & Air Conditioning (HVAC) 00:16:00 Module 02: Heating Fundamentals and Psychrometrics 00:36:00 Module 03: HVAC Systems 00:18:00 Module 04: Heating and Ventilation 00:25:00 Module 05: Air Conditioning Systems for HVAC Technicians 00:26:00 Module 06: Compressors, Water Chillers, and Fans 00:28:00 Module 07: Piping for HVAC Technician 00:23:00 Module 08: Duct System in HVAC 00:31:00 Module 09: Refrigeration and Refrigerants 00:24:00 Module 10: Special Applications 00:27:00 Module 11: HVAC System Selection 00:21:00 Module 12: Safety in the HVAC Industry 00:30:00

This course comes bundled with basic to advanced level knowledge on Spring and Spring Boot with 200+ questions and answers. With REST API, JPA, Hibernate, and Spring Data JPA, you have the upper hand in your interviews for sure.

Photography is the art or practice of taking and processing photographs. The more you study and discover about photography the better you will become in it. And landscapes can be one of the easiest of all photographic themes to shoot. All you need to do is learn advanced tips and techniques of landscape photography. Taking this Level 3 Diploma in Landscape Photography will enhance your landscape photography skills to the advanced level so that you can create the beautiful photos. Discover how to capture your best ever landscape photos, learn to set up the camera, and use various filters. You will also understand the editing basics, including how to exclude unwanted objects from capturing perfect landscape photography. In addition to that, you will understand the necessity of finding visually compelling locations, and how to pick the right time of day as well as right season, so your photos look their absolute best. Who is this Course for? Level 3 Diploma in Landscape Photography is 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. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of the English language, numeracy and ICT are required to attend this course. CPD Certificate from Course Gate  At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Assessment: This course does not involve any MCQ exams. Students need to answer 3 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. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work. Course Curriculum Module: 01 Promo Video FREE 00:02:00 Introduction 00:01:00 Gear for Landscape Photography 00:04:00 Module: 02 Planning Your Trip with Will 00:02:00 Our Gear - What's in Our Bag 00:05:00 Shooting at Sunrise 00:09:00 Landscape Basics & Composition 00:06:00 Camera Setting Refresher with Phil 00:08:00 Phil & Sam Go Over the Basics 00:09:00 Module: 03 How to shoot Panoramas 00:05:00 Wide vs. Telephoto Photographs 00:04:00 Using a Polarizer Filter 00:03:00 Sunset Photography 00:05:00 Module: 04 Intro to Editing 00:02:00 Adobe Lightroom Crash Course 00:14:00 Our Basic Landscape Editing Process 00:11:00 Quickly Straighten Horizons 00:01:00 Remove Unwanted Objects in Lightroom 00:02:00 Module: 05 Phil Edits a Landscape Photo 00:17:00 Sam's Editing Workflow 00:11:00 WiIII's Editing Process 00:19:00 All Three Edit the Same Photo 00:23:00 Sam Edits a Sunrise Photo 00:09:00 How to Create an HDR Photo in Lightroom 00:02:00 Stitch Together a Panorama in Lightroom 00:06:00 Stitch Together a Panorama in Photoshop 00:03:00 Exporting a Photo for Web or Print 00:10:00 Conclusion 00:01:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Microsoft Excel Complete Course - Beginner Intermediate & Advanced To make learning Microsoft Excel easier for you, we have thoughtfully bundled our three greatest courses: Microsoft Excel Beginners, Intermediate, and Advanced. At this price, you won't find a better deal anywhere else. One of the most popular applications for visualizing and analyzing data that has been created to date is Microsoft Excel. These days, practically every industry and household use this helpful program for personal purposes. Excel is used by business owners for a plethora of tasks, including data analysis, visualizing data, tracking hours worked, money, and statements. This Microsoft Excel Complete Course can be very helpful to you whether you are a newbie, have some training and experience with the program, or haven't used Excel in a long time and need a thorough refresher to develop your skills. After completing this course, you will be a proficient Excel user. In a short period of time, our simple lessons will impart the knowledge in a very easy way. There won't be a rush because you can study whenever you want and at your own speed. After completing the course, your confidence in using Excel will increase. Course Highlights Microsoft Excel Complete Course - Beginner Intermediate & Advanced is an award winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Microsoft Excel Complete Course - Beginner Intermediate & Advanced into 73 modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 11 hours, 6 minutes hours and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Microsoft Excel Complete Course - Beginner Intermediate & Advanced Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Microsoft Excel Complete Course - Beginner Intermediate & Advanced is CPD certified and IAO accredited. 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 backgrounds. Requirements Our Microsoft Excel Complete Course - Beginner Intermediate & Advanced 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 You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Microsoft Excel Complete Course - Beginner Intermediate & Advanced Microsoft Excel 2019 New Features Introduction to Microsoft Excel 2019 New Features 00:07:00 CONCAT 00:02:00 IFS 00:01:00 MAXIFS 00:01:00 MINIFS 00:01:00 SWITCH 00:02:00 TEXTJOIN 00:01:00 Map Chart 00:02:00 Funnel Chart 00:01:00 Better Visuals 00:06:00 Pivot Table Enhancements 00:02:00 Power Pivot Updates 00:01:00 Getting Started With Microsoft Office Excel Navigate the Excel User Interface 00:28:00 Use Excel Commands 00:28:00 Create and Save a Basic Workbook 00:19:00 Enter Cell Data 00:12:00 Use Excel Help 00:05:00 Performing Calculations Create Worksheet Formulas 00:15:00 Insert Functions 00:17:00 Reuse Formulas and Functions 00:17:00 Modifying A Worksheet Insert, Delete, and Adjust Cells, Columns, and Rows 00:10:00 Search for and Replace Data 00:09:00 Use Proofing and Research Tools 00:07:00 Formatting A Worksheet Apply Text Formats 00:16:00 Apply Number Format 00:08:00 Align Cell Contents 00:09:00 Apply Styles and Themes 00:12:00 Apply Basic Conditional Formatting 00:11:00 Create and Use Templates 00:08:00 Printing Workbooks Preview and Print a Workbook 00:10:00 Set Up the Page Layout 00:09:00 Configure Headers and Footers 00:07:00 Managing Workbooks Manage Worksheets 00:05:00 Manage Workbook and Worksheet Views 00:07:00 Manage Workbook Properties 00:06:00 Working With Functions Work with Ranges 00:18:00 Use Specialized Functions 00:11:00 Work with Logical Functions 00:24:00 Work with Date & Time Functions 00:08:00 Work with Text Functions 00:11:00 Working With Lists Sort Data 00:10:00 Filter Data 00:10:00 Query Data with Database Functions 00:09:00 Outline and Subtotal Data 00:09:00 Analyzing Data Apply Intermediate Conditional Formatting 00:07:00 Apply Advanced Conditional Formatting 00:06:00 Visualizing Data With Charts Create Charts 00:13:00 Modify and Format Charts 00:12:00 Use Advanced Chart Features 00:13:00 Using PivotTables And Pivot Charts Create a PivotTable 00:13:00 Analyze PivotTable Data 00:12:00 Present Data with Pivot Charts 00:08:00 Filter Data by Using Timelines and Slicers 00:11:00 Working With Multiple Worksheets And Workbooks Use Links and External References 00:12:00 Use 3-D References 00:06:00 Consolidate Data 00:06:00 Using Lookup Functions And Formula Auditing Use Lookup Functions 00:13:00 Trace Cells 00:09:00 Watch and Evaluate Formulas 00:09:00 Sharing And Protecting Workbooks Collaborate on a Workbook 00:20:00 Protect Worksheets and Workbooks 00:08:00 Automating Workbook Functionality Apply Data Validation 00:13:00 Search for Invalid Data and Formulas with Errors 00:04:00 Work with Macros 00:18:00 Creating Sparklines And Mapping Data Create Sparklines 00:07:00 MapData 00:07:00 Forecasting Data Determine Potential Outcomes Using Data Tables 00:09:00 Determine Potential Outcomes Using Scenarios 00:09:00 Use the Goal Seek Feature 00:04:00 Forecasting Data Trends 00:05:00 Excel Templates Excel Templates 00:00:00 Resources Microsoft Excel 2019 00:00:00 Assignment Assignment - Microsoft Excel Complete Course - Beginner Intermediate & Advanced 00:00:00

Welcome to Calculus Level 1 - Learn Differentiation, the course that will turn you into a differentiation expert. This course is the perfect stepping-stone to ignite your passion for calculus and launch you into the world of mathematical complexities with ease. We've designed this Calculus Level 1 - Learn Differentiation course to be your comprehensive guide, taking you from basic rules to advanced techniques in the realm of differentiation. In the initial sections, you'll find a clear, understandable introduction to the field of calculus and the fundamental rules of differentiation. We will then be diving into the differentiation of trigonometric, exponential, and logarithmic functions. This will equip you with the tools to handle any type of function thrown your way. As we progress, the course will gently introduce the Chain Rule and strengthen your understanding of it, making complex calculations a breeze. The advanced sections venture into intriguing areas like the differentiation of inverse and hyperbolic trig functions, implicit functions, and parametric functions. Techniques like Logarithmic Differentiation and the understanding of higher order derivatives are broken down and explained in an easy-to-digest manner. You will not only have mastered the skill of differentiation after completing the Calculus Level 1 - Learn Differentiation course, but you will also have laid a solid basis for higher calculus. This course combines theory, problem-solving, and revision portions, making it ideal for people new to the field and those wishing to improve their knowledge. Join us on this mathematical adventure to discover the brilliance of calculus in a whole new light. Sign up now! Learning Outcomes: Upon completion of the Calculus Level 1 - Learn Differentiation course, you should be able to: Understand the basics and fundamental principles of differentiation. Differentiate trigonometric and exponential functions with ease. Master the application of the Chain Rule in differentiation. Execute differentiation of inverse and hyperbolic trig functions. Comprehend and apply differentiation to implicit functions. Gain proficiency in logarithmic differentiation. Derive and solve higher order derivative functions. Who is this course for? This course is perfect for: High school students seeking a firm grasp on calculus. Undergraduates looking to bolster their mathematics foundation. Professionals needing a refresher course in calculus. Aspiring mathematicians and engineers who use calculus extensively. Career Path: Upon completion of the Calculus Level 1 - Learn Differentiation course, you open up a world of opportunities. This foundational knowledge in calculus can lead you to a wide range of careers in fields such as engineering, physics, computer science, economics, and more. Further, it serves as a stepping-stone for advanced studies in mathematics, paving the path for academic and research roles. This course ensures you have the mathematical prowess required in today's data-driven world. Certification After studying the course materials of the Calculus Level 1 - Learn Differentiation 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. Prerequisites This Calculus Level 1 - Learn Differentiation does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Calculus Level 1 - Learn Differentiation 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. Course Curriculum Section 01: Introduction Module 01: Promotional video 00:02:00 Module 02: Quick Guide 00:01:00 Section 02: Fundamental Rules for Differentiation Module 01: Power Rule 00:14:00 Module 02: Practice Problems Part 1 00:09:00 Module 03: Practice Problems Part 2 00:06:00 Module 04: Product Rule 00:13:00 Module 05: Quotient Rule 00:06:00 Module 06: Chain Rule For Differentiation 00:10:00 Section 03: Differentiation of Trigonometric Functions Module 01: Derivatives of Trigonometric functions 00:08:00 Module 02: Product Rule with Trigonometric Functions 00:11:00 Module 03: Quotient Rule with Trigonometric Functions 00:13:00 Module 04: Chain Rule with Trigonometric Functions Part 1 00:11:00 Module 05: Chain Rule with Trigonometric Functions Part 2 00:10:00 Module 06: Chain Rule with Trigonometric Functions Part 3 00:10:00 Section 04: Differentiation of Exponential Functions Module 01: Exponential Derivatives 00:13:00 Module 02: Chain Rule for Exponential Functions 00:14:00 Module 03: Derivatives of Exponential functions involving Trig Functions 00:12:00 Section 05: Differentiation of Logarithmic Functions Module 01: Derivatives of Logarithmic functions Part 1 00:09:00 Module 02: Derivatives of Logarithmic functions Part 2 00:10:00 Module 03: Derivatives of Logarithmic functions Part 3 00:06:00 Module 04: Problems involving Logarithmic and Trig functions part 1 00:09:00 Module 05: Problems involving Logarithmic and Trig functions part 2 00:07:00 Module 06: Problems involving Logarithmic and Trig functions part 3 00:05:00 Section 06: Revision Section 0on Chain Rule Module 01: Revision of Chain Rule Part 1 00:08:00 Module 02: Revision of Chain Rule Part 2 00:12:00 Module 03: Practice Problems Part 1 00:09:00 Module 04: Practice Problems Part 2 00:07:00 Section 07: Differentiation of inverse Trig Function Module 01: Derivatives of Inverse Trig Functions Part 1 00:09:00 Module 02: Derivatives of Inverse Trig Functions Part 2 00:11:00 Section 08: Differentiation of Hyperbolic Trig Functions Module 01: Derivatives of Hyperbolic Trig functions part 1 00:07:00 Module 02: Derivatives of Hyperbolic Trig functions part 2 00:07:00 Module 03: Derivatives of Inverse Hyperbolic Trig functions 00:09:00 Section 09: Differentiation of Implicit functions Module 01: Differentiation of Implicit functions Part 1 00:11:00 Module 02: Differentiation of Implicit functions Part 2 00:06:00 Module 03: Differentiation of Implicit functions involving Trig functions-1 00:16:00 Module 04: Differentiation of Implicit functions involving Trig functions-2 00:10:00 Section 10: Logarithmic Differentiation Module 01: Logarithmic Differentiation Part 1 00:13:00 Module 02: Logarithmic Differentiation Part 2 00:07:00 Module 03: Logarithmic Differentiation Part 3 00:13:00 Module 04: Logarithmic Differentiation Part 4 00:08:00 Module 05: Logarithmic Differentiation Part 5 00:10:00 Module 06: Logarithmic Differentiation Part 6 00:09:00 Module 07: Logarithmic Differentiation Part 7 00:11:00 Section 11: Differentiation of Parametric Functions Module 01: Differentiation of Parametric Functions Part 1 00:12:00 Module 02: Differentiation of Parametric Functions Part 2 00:09:00 Module 03: Differentiation of a function w. r. t. another function Part 1 00:11:00 Module 04: Differentiation of a function w. r. t. another function Part 2 00:05:00 Section 12: Differentiation of Higher order derivatives Module 01: Higher order derivatives Part 1 00:09:00 Module 02: Higher order derivatives Part 2 00:04:00 Module 03: Higher order derivatives Part 3 00:10:00 Module 04: Higher order derivatives Part 4 00:09:00 Module 05: Higher Order Derivatives involving Trig Functions 00:06:00 Module 06: Second order derivatives with Parametric functions 00:13:00

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