14677 Environment courses

Botany Course Overview Whether you're aiming for a career in agriculture, conservation, pharmaceuticals, or environmental science, our Botany course offers a solid foundation. You'll gain the knowledge and skills to excel in various professions where plant biology is crucial, enhancing your career prospects and growth potential. Our Botany course covers many topics, including exploring the human population's dependence on plants. Here, you will learn about the essential characteristics that define plants and discover their remarkable biological diversity. Plus, you will become familiar with the morphology of plants, exploring the intricacies of leaves, stems, and root systems. You will also gain insights into the microscopic world of plants by studying cell shape, size, organelles, and plant tissues. Moreover, this botany course will educate you about the names of plants and taxonomic classifications. Furthermore, you will explore the physiological processes that keep plants thriving and journey through the embryology of plants, revealing their fascinating life cycles. As you move deeper into the Botany course, you will gain an in-depth understanding of the role of genetics and evolution in shaping the plant kingdom. Besides, you will discover how plants interact with their environment in our Plant Ecology. The last parts of the course will introduce you to crucial Botany topics like cryptograms & microbes, gymnosperms and angiosperms, and palaeobotany. Enrol in our Botany course to elevate your understanding of the natural world without any further delay. Why Choose Teachers Training Some of our website features are: This is a dedicated website for teaching 24/7 tutor support Interactive Content Affordable price Courses accredited by the UK's top awarding bodies 100% online Flexible deadline Entry Requirements No formal entry requirements. You need to have: Passion for learning A good understanding of the English language Be motivated and hard-working Over the age of 16. Certification CPD Certification from The Teachers Training Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish. You can get your digital certificate (PDF) for £4.99 only Hard copy certificates are also available, and you can get one for only £10.99 You can get both PDF and Hard copy certificates for just £12.99! The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs. Module 01: Introduction to Botany Introduction to Botany 00:27:00 Module 02: Morphology of Plants Morphology of Plants 00:38:00 Module 03: Cell Biology and Anatomy of Plants Cell Biology and Anatomy of Plants 00:40:00 Module 04: Naming Plants and Taxonomic Classifications Naming Plants and Taxonomic Classifications 00:40:00 Module 05: Plant Physiology Plant Physiology 00:44:00 Module 06: Embryology of Plants Embryology of Plants 00:45:00 Module 07: Plant Genetics and Evolution Plant Genetics and Evolution 00:41:00 Module 08: Plant Ecology Plant Ecology 00:46:00 Module 09: Cryptograms and Microbes Cryptograms and Microbes 00:56:00 Module 10: The Gymnosperms The Gymnosperms 00:31:00 Module 11: Angiosperms - The Flowering Plants Angiosperms - The Flowering Plants 00:41:00 Module 12: Palaeobotany Palaeobotany 00:24:00

Embark on a journey to bridge the worlds of design and technology with the AutoCAD Programming Using C#.NET course. This expertly crafted curriculum begins with the essentials, guiding you through the .NET Framework and Visual Studio 2017 Community Edition, setting a solid foundation before diving into the complexities of programming. As the course unfolds, you will unravel the intricacies of C# fundamentals, crucial for manipulating the powerful AutoCAD .NET API. Your skills will progressively sharpen, enabling you to create and modify AutoCAD objects with precision and creativity. Learning Outcomes Acquire proficiency in the .NET Framework and navigate the Visual Studio 2017 environment with confidence. Master C# fundamentals to construct robust AutoCAD programming solutions. Operate the AutoCAD .NET API for creating precise and customised AutoCAD objects. Gain expertise in manipulating AutoCAD Dictionaries and implementing user input functions. Complete a hands-on project developing a title block, solidifying your programming acumen. Why choose this AutoCAD Programming Using C#.NET course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the AutoCAD Programming Using C#.NET 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. Who is this AutoCAD Programming Using C#.NET course for? Aspiring developers keen on specialising in engineering and architectural software solutions. Design professionals aiming to expand their technical toolset with programming capabilities. Technicians interested in upgrading their AutoCAD proficiency to include customised automation. Students and graduates seeking to enhance their employability in the design and construction industry. Hobbyists eager to explore the intersection of programming and digital design. Career path CAD Software Developer - £30,000 to £50,000 .NET Software Engineer - £35,000 to £60,000 Architectural Technologist - £25,000 to £40,000 Design Engineer - £27,000 to £45,000 CAD Technician - £20,000 to £35,000 Application Support Analyst - £22,000 to £40,000 Prerequisites This AutoCAD Programming Using C#.NET does not require you to have any prior qualifications or experience. You can just enrol and start learning.This AutoCAD Programming Using C#.NET 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.

Step confidently into the rewarding world of education support with our Learning Support Assistant Course, built for those who genuinely enjoy helping others learn and grow. Whether you're interested in working in mainstream schools or supporting learners with additional needs, this course offers a strong foundation in the principles and responsibilities of an effective support assistant. You’ll gain insight into how to promote positive behaviour, understand learning difficulties, and work alongside teachers to make the classroom a more accessible and engaging environment. From communication techniques to child development theories, every module is structured to enrich your understanding of what it means to support learning in today’s educational settings. The course is designed to give you the knowledge and confidence to assist learners of all abilities, contribute to lesson delivery, and help create inclusive learning environments. With a focus on theory, responsibility, and strategy, this programme is your opportunity to build the confidence and clarity needed for a meaningful support role in education—all from the comfort of your own space. After completing the course, you will be able to Understand the role and responsibility of a learning support assistant Develop the skills to work with the children. Build your expertise in safeguarding students Learn the techniques to provide Special Educational Needs support Improve your time and stress management skills Meet the Endorsement The Quality Licence Scheme has been designed specifically to recognise high-quality courses. This Learning Support Assistant course materials are recognised by Quality Licence Scheme (QLS). This ensures the deep research and quality resource allocation behind the development phase of the course. In addition, the QLS certificate enriches your CV and recognises your quality study on the relevant subject. Meet the Accreditation CPD Quality Standards (CPD QS) accreditation assures the Learning Support Assistant course training and learning activities are relevant, reliable, and up to date. Key Benefits Learning materials of the Design course contain engaging voice-over and visual elements for your comfort. Get 24/7 access to all content for a full year. Each of our students gets full tutor support on weekdays (Monday to Friday) Course Assessment To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%. When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme. Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme After successfully completing the Learning Support Assistant course, learners will be able to order an endorsed certificate as proof of their achievement. Hardcopy of this certificate of achievement endorsed by the Quality Licence Scheme can be ordered and received straight to your home by post, by paying Within the UK: £109 International: £109 + £10 (postal charge) = £119 CPD Accredited Certification from One Education After successfully completing this Learning Support Assistant course, you will qualify for the CPD accredited certificate from One Education. Certification is available in both PDF & hardcopy format, which can be received by paying - PDF Certificate: £9 Hardcopy Certificate (within the UK): £15 Hardcopy Certificate (international): £15 + £10 (postal charge) = £25 Who is this course for? Individuals interested in working as a Learning Support Assistant Those who have the desire to support students with special educational needs Aspiring teachers or educators looking to gain knowledge Parents who want to support their children's education and understand special needs support in the classroom Career changers looking for a fulfilling and meaningful career in education Anyone interested in making a difference in the lives of students with special needs Requirements This Learning Support Assistant course is open to all, with no formal entry requirements. Career path From the Learning Support Assistant course, you will develop effective skill sets. This course will come in handy in pursuing career paths such as Learning Support Assistant (Salary range £20,000-£30,000 per year) Teaching Assistant (Salary range £21,000-£47,000 per year) Teacher (Salary range £30,000-£48,000 per year)

Learn to build a complete Internet of Things solution with Arduino, a SQL Database, and a web server

Description: The Time Management for Entrepreneurs course will enable you to have fundamental time management skills that you can apply in any circumstance, particularly in commercial environment. This course is loaded with tips and techniques that you can use at work to be more productive and successful regardless of your profession. By managing time in your workplace, you can be a better worker, get more done, and be an example to others around you. Finally, with great time management skills, you will find that you can better organise yourself and manage tasks more effectively and efficiently.   Who is the course for? Entrepreneurs Business owners Students 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 English language, numeracy and ICT are required to attend this course. Assessment:  At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email.   Career Path: You can reach your goals with this course in time management as it helps you manage your time wisely and effectively and help you rethink and re-prioritise on a moment's notice. Time Management for Enterpreneurs Introduction 00:15:00 What Is Time Management? 01:00:00 Why Do I Need to Manage My Time Effectively Anyway? 00:30:00 What Happens When We Don't Manage Our Time Effectively? 00:30:00 How Do I Get Started With Good Time Management? 01:00:00 Refining the Process of Time Management 01:00:00 Can Time Management Become An Obsession? 00:30:00 So How Do I Stop Obsessing And Get Back On Track? 01:00:00 Keeping It Real - Setting Realistic Goals With Your Time Management 01:00:00 Conclusion 00:15:00 Mock Exam Mock Exam- Time Management for Enterpreneurs 00:20:00 Final Exam Final Exam- Time Management for Enterpreneurs 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Course Overview Strategic thinking is essential for leaders who aim to guide their organisations toward long-term success. This course is designed to enhance the strategic thinking capabilities of managers and leaders, enabling them to foresee challenges, identify opportunities, and make informed decisions that align with their organisation's vision and goals. Participants will learn to adopt a strategic mindset, utilise strategic tools, and develop actionable strategies that drive sustainable growth. This course is designed by highly qualified learning design experts, assisted and guided by a Doctoral & Masters level leadership team. Working closely with subject matter leaders with extensive domain experience, this course is built on sound academic rigour and applied real world experience. Run in a cohort-based, activity-led format, it goes beyond theory to provide practical methods and frameworks that you can immediately apply in your workplace. Key Outcomes -Explain the importance of strategic thinking and how to develop a strategic mindset. -Conduct thorough environmental scans and analyses. -Develop long-term goals, craft vision and mission statements, and evaluate strategic options. -Effectively communicate strategic plans, ensure next-level managers create actionable plans, monitor their implementation, and provide support to ensure alignment with organisational goals. Format F2F or Virtual Delivery Mode Closed Cohort or Occasional Limited Public Schedule Duration 2 Days Target Audience Managers, team leaders, and executives who are responsible for strategic planning and decision-making within their organisations.

Target Audience Mid-level managers, team leaders with several years of experience, and leaders looking to refine their skills and approach. Duration 2 Days Course Overview The Leadership Mastery course is a 2-day intensive program designed to equip participants with cutting-edge, evidence-based leadership skills tailored to the complexities of contemporary organisational environments. Drawing from interdisciplinary research in psychology, organizational behavior, neuroscience, and management science, the course integrates seminal and emerging leadership theories, models, and practical tools. Participants will enhance their strategic thinking, develop their ability to manage complex team dynamics, and foster a culture of innovation and continuous improvement. Participants will engage in interactive workshops, case studies, simulations, and reflective exercises to bridge theory and practice, fostering adaptive and strategic leadership capabilities. The course emphasizes real-world application, addressing challenges such as hybrid work, people and talent management, digital transformation, and ethical decision-making. The Leadership Tension Lens will be revisited to help leaders more critically analyse competing priorities and lead with greater confidence. This course is designed by highly qualified learning design experts, assisted and guided by a Doctoral & Masters level leadership team. Working closely with subject matter leaders with extensive domain experience, this course is built on sound academic rigour and applied real world experience. Run in a cohort-based, activity-led format, it goes beyond theory to provide practical methods and frameworks that you can immediately apply in your workplace. Key Outcomes Revisit the Leadership Tension Lens: Managing Complexity in Leadership Developing Vision and Strategy - Leading as part of a leadership team agenda Drive High Performance and exploring tools (OKR's, Scorecards) Apply Advanced People Management approaches: Motivating and Retaining Talent Demonstrate social and emotional intelligence in high stakes contexts Apply models and approaches to Leading Change: Managing Cultural Transformation Practice Learning from Success and Failure: Case Studies and Best Practices

This course takes you through the full spectrum of basic to advanced topics, equipping you with the skills you need to get started with Git and GitHub. With the help of exercises and activities, you will be able to grasp all the concepts of Git and GitHub with ease.

Overview This comprehensive course on Data Science & Machine Learning with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science & Machine Learning with Python comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Data Science & Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our Data Science & Machine Learning with Python is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 2 sections • 90 lectures • 10:24:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:08:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:07:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

Duration 3 Days 18 CPD hours This course is intended for This lecture and exercise-based course is for individuals who want to understand how to install, configure, and manage an IBM Spectrum Scale storage cluster. Overview After completing this course, you should be able to: Summarize the key features of IBM Spectrum Scale Describe IBM ESS and Spectrum Scale RAID Install IBM Spectrum Scale and configure a cluster Manage a cluster Implement information lifecycle management (ILM) Configure IBM Spectrum Scale high availability features Back up critical cluster data This course is intended for IT professionals tasked with administering an IBM Spectrum Scale storage cluster in environments running Linux and AIX nodes. The course includes information on installing, configuring, and monitoring an IBM Spectrum Scale cluster. Many Spectrum Scale features are described in lecture materials and then implemented in lab exercises. These features include: Storage management, high availability options, cluster management, and information lifecycle management (ILM) tools. Note: Although the lab environment is running the Linux operating system, the differences in Spectrum Scale compared with an AIX environment are minor. Therefore, the skills acquired during the course can be applied in both Linux and AIX environments. Welcome and course overview Unit 1 - IBM Spectrum Scale overview Exercise 1 - Cluster node preparation Unit 2 - Installation and cluster configuration Exercise 2 - Installation and cluster configuration Unit 3 - Cluster management Exercise 3 - Cluster management and configuration Unit 4 - Information Lifecycle Management (ILM) Exercise 4 - Storage pools, filesets, and policies Unit 5 - High availability and cluster data backups Exercise 5 - Replication and snapshots Course wrap-up and evaluation