Name: R Ultimate 2023 - R for Data Science and Machine Learning
Price: 59.99 GBP
Availability: InStock

<strong>The underlying patterns in your data hold vital insights; unearth them with cutting-edge clustering and classification techniques in R</strong>
        <p>This course is your complete guide to both supervised and unsupervised learning using R. This course covers all the main aspects of practical data science; if you take this course, there is no need to take other courses or buy books on R-based data science. In this age of big data, companies across the Globe use R to sift through the avalanche of information at their disposal. By becoming proficient in unsupervised and supervised learning in R, you can give your company a competitive edge and take your career to the next level.

Over the course of research, the author realized that almost all the R data science courses and books out there do take account of the multidimensional nature of the topic. This course will give you a robust grounding in the main aspects of machine learning: clustering and classification. Unlike other R instructors, the author digs deep into R's machine learning features and give you a one-of-a-kind grounding in data science! You will go all the way from carrying out data reading & cleaning to machine learning, to finally implementing powerful machine learning algorithms and evaluating their performance via R.
The following topics will be covered: - 
&bull; A full introduction to the R Framework for data science 
&bull; Data structures and reading in R, including CSV, Excel, and HTML data 
&bull; How to pre-process and clean data by removing NAs/No data, visualization 
&bull; Machine learning, supervised learning, and unsupervised learning in R 
&bull; Model building and selection and much more!

The course will help you implement methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement R-based data science in real life. After taking this course, you'll easily use data science packages such as Caret to work with real data in R. You'll even understand concepts such as unsupervised learning, dimension reduction, and supervised learning. 

All the code and supporting files for this course are available at - https://github.com/PacktPublishing/Clustering-and-Classification-with-Machine-Learning-in-R</p>
        <h2>What You Will Learn</h2><p>Read-in data into the R environment from different sources<br>Carry out basic data pre-processing and wrangling in R Studio<br>Implement unsupervised/clustering techniques such as K-means clustering<br>Implement dimensional reduction techniques (PCA) and feature selection<br>Implement supervised learning techniques/classification such as Random Forests<br>Evaluate model performance and learn the best practices for evaluating machine learning model accuracy</p>
        <h2>Audience</h2><p>This course is for students interested in getting started with data science applications in the R Studio environment. Students wishing to learn how to implement unsupervised learning on real data. Anyone with prior exposure to R who wants to get started with practical data science.</p>
        <h2>Approach</h2><p>Every video is packed with hands-on instructions and clear explanations. Real data has been used to demonstrate how to implement these techniques in real life, on your data.</p>
        <h2>Key Features</h2><p>Provides in-depth training in everything you need to know to get started with practical R data science * Jargon-free and suitable for people who have a non-mathematical background * In-depth coverage of the latest unsupervised and supervised techniques </p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/clustering-and-classification-with-machine-learning-in-r</p>
        <h2>About the Author</h2><h3>Minerva Singh</h3><p>Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a part-time Data Scientist. As part of her research, she must carry out extensive data analysis, including spatial data analysis. For this purpose, she prefers to use a combination of freeware tools: R, QGIS, and Python. She does most of her spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing, and analysis. She also holds an MPhil degree in Geography and Environment from Oxford University. She has honed her statistical and data analysis skills through several MOOCs, including The Analytics Edge and Statistical. In addition to spatial data analysis, she is also proficient in statistical analysis, machine learning, and data mining.</p>
        <h2>Course Outline</h2><h4>1. Introduction to the Course</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome to Clustering & Classification with Machine Learning in R</p><p style='margin: 0'>Introduction to the Course: Welcome to Clustering & Classification with Machine Learning in R</p></td></tr><tr><td style='padding: 15px;'><p>2. Installing R and R Studio</p><p style='margin: 0'>Introduction to the Course: Installing R and R Studio</p></td></tr></tbody></table><br><h4>2. Read in Data from Different Sources in R</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Read in CSV & Excel Data</p><p style='margin: 0'>Read in Data from Different Sources in R: Read in CSV & Excel Data</p></td></tr><tr><td style='padding: 15px;'><p>2. Read in Unzipped Folder</p><p style='margin: 0'>Read in Data from Different Sources in R: Read in Unzipped Folder</p></td></tr><tr><td style='padding: 15px;'><p>3. Read in Online CSV</p><p style='margin: 0'>Read in Data from Different Sources in R: Read in Online CSV</p></td></tr><tr><td style='padding: 15px;'><p>4. Read in Googlesheets</p><p style='margin: 0'>Read in Data from Different Sources in R: Read in Googlesheets</p></td></tr><tr><td style='padding: 15px;'><p>5. Read in Data from Online HTML Tables-Part 1</p><p style='margin: 0'>Read in Data from Different Sources in R: Read in Data from Online HTML Tables-Part 1</p></td></tr><tr><td style='padding: 15px;'><p>6. Read in Data from Online HTML Tables-Part 2</p><p style='margin: 0'>Read in Data from Different Sources in R: Read in Data from Online HTML Tables-Part 2</p></td></tr><tr><td style='padding: 15px;'><p>7. Read Data from a Database</p><p style='margin: 0'>Read in Data from Different Sources in R: Read Data from a Database</p></td></tr></tbody></table><br><h4>3. Data Pre-processing and Visualization</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Remove Missing Values</p><p style='margin: 0'>Data Pre-processing and Visualization: Remove Missing Values</p></td></tr><tr><td style='padding: 15px;'><p>2. More Data Cleaning</p><p style='margin: 0'>Data Pre-processing and Visualization: More Data Cleaning</p></td></tr><tr><td style='padding: 15px;'><p>3. Introduction to dplyr for Data Summarizing-Part 1</p><p style='margin: 0'>Data Pre-processing and Visualization: Introduction to dplyr for Data Summarizing-Part 1</p></td></tr><tr><td style='padding: 15px;'><p>4. Introduction to dplyr for Data Summarizing-Part 2</p><p style='margin: 0'>Data Pre-processing and Visualization: Introduction to dplyr for Data Summarizing-Part 2</p></td></tr><tr><td style='padding: 15px;'><p>5. Exploratory Data Analysis (EDA): Basic Visualizations with R</p><p style='margin: 0'>Data Pre-processing and Visualization: Exploratory Data Analysis (EDA): Basic Visualizations with R</p></td></tr><tr><td style='padding: 15px;'><p>6. More Exploratory Data Analysis with xda</p><p style='margin: 0'>Data Pre-processing and Visualization: More Exploratory Data Analysis with xda</p></td></tr><tr><td style='padding: 15px;'><p>7. Data Exploration & Visualization With dplyr & ggplot2</p><p style='margin: 0'>Data Pre-processing and Visualization: Data Exploration & Visualization With dplyr & ggplot2</p></td></tr><tr><td style='padding: 15px;'><p>8. Associations Between Quantitative Variables- Theory</p><p style='margin: 0'>Data Pre-processing and Visualization: Associations Between Quantitative Variables- Theory</p></td></tr><tr><td style='padding: 15px;'><p>9. Testing for Correlation</p><p style='margin: 0'>Data Pre-processing and Visualization: Testing for Correlation</p></td></tr><tr><td style='padding: 15px;'><p>10. Evaluate the Relation Between Nominal Variables</p><p style='margin: 0'>Data Pre-processing and Visualization: Evaluate the Relation Between Nominal Variables</p></td></tr><tr><td style='padding: 15px;'><p>11. Cramer's V for Examining the Strength of Association Between Nominal Variable</p><p style='margin: 0'>Data Pre-processing and Visualization: Cramer's V for Examining the Strength of Association Between Nominal Variable</p></td></tr></tbody></table><br><h4>4. Machine Learning for Data Science</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. How is Machine Learning Different from Statistical Data Analysis?</p><p style='margin: 0'>Machine Learning for Data Science: How is Machine Learning Different from Statistical Data Analysis?</p></td></tr><tr><td style='padding: 15px;'><p>2. What is Machine Learning (ML) About? Some Theoretical Pointers</p><p style='margin: 0'>Machine Learning for Data Science: What is Machine Learning (ML) About? Some Theoretical Pointers</p></td></tr></tbody></table><br><h4>5. Unsupervised Learning in R</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. K-Means Clustering</p><p style='margin: 0'>Unsupervised Learning in R: K-Means Clustering</p></td></tr><tr><td style='padding: 15px;'><p>2. Other Ways of Selecting Cluster Numbers</p><p style='margin: 0'>Unsupervised Learning in R: Other Ways of Selecting Cluster Numbers</p></td></tr><tr><td style='padding: 15px;'><p>3. Fuzzy K-Means Clustering</p><p style='margin: 0'>Unsupervised Learning in R: Fuzzy K-Means Clustering</p></td></tr><tr><td style='padding: 15px;'><p>4. Weighted k-means</p><p style='margin: 0'>Unsupervised Learning in R: Weighted k-means</p></td></tr><tr><td style='padding: 15px;'><p>5. Partitioning Around Meloids (PAM)</p><p style='margin: 0'>Unsupervised Learning in R: Partitioning Around Meloids (PAM)</p></td></tr><tr><td style='padding: 15px;'><p>6. Hierarchical Clustering in R</p><p style='margin: 0'>Unsupervised Learning in R: Hierarchical Clustering in R</p></td></tr><tr><td style='padding: 15px;'><p>7. Expectation-Maximization (EM) in R</p><p style='margin: 0'>Unsupervised Learning in R: Expectation-Maximization (EM) in R</p></td></tr><tr><td style='padding: 15px;'><p>8. DBSCAN Clustering in R</p><p style='margin: 0'>Unsupervised Learning in R: DBSCAN Clustering in R</p></td></tr><tr><td style='padding: 15px;'><p>9. Cluster a Mixed Dataset</p><p style='margin: 0'>Unsupervised Learning in R: Cluster a Mixed Dataset</p></td></tr><tr><td style='padding: 15px;'><p>10. Should We Even Do Clustering?</p><p style='margin: 0'>Unsupervised Learning in R: Should We Even Do Clustering?</p></td></tr><tr><td style='padding: 15px;'><p>11. Assess Clustering Performance</p><p style='margin: 0'>Unsupervised Learning in R: Assess Clustering Performance</p></td></tr><tr><td style='padding: 15px;'><p>12. Which Clustering Algorithm to Choose?</p><p style='margin: 0'>Unsupervised Learning in R: Which Clustering Algorithm to Choose?</p></td></tr></tbody></table><br><h4>6. Feature/Dimension Reduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Dimension Reduction-theory</p><p style='margin: 0'>Feature/Dimension Reduction: Dimension Reduction-theory</p></td></tr><tr><td style='padding: 15px;'><p>2. Principal Component Analysis (PCA)</p><p style='margin: 0'>Feature/Dimension Reduction: Principal Component Analysis (PCA)</p></td></tr><tr><td style='padding: 15px;'><p>3. More on PCA</p><p style='margin: 0'>Feature/Dimension Reduction: More on PCA</p></td></tr><tr><td style='padding: 15px;'><p>4. Multidimensional Scaling</p><p style='margin: 0'>Feature/Dimension Reduction: Multidimensional Scaling</p></td></tr><tr><td style='padding: 15px;'><p>5. Singular Value Decomposition (SVD)</p><p style='margin: 0'>Feature/Dimension Reduction: Singular Value Decomposition (SVD)</p></td></tr></tbody></table><br><h4>7. Feature Selection to Select the Most Relevant Predictors</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Removing Highly Correlated Predictor Variables</p><p style='margin: 0'>Feature Selection to Select the Most Relevant Predictors: Removing Highly Correlated Predictor Variables</p></td></tr><tr><td style='padding: 15px;'><p>2. Variable Selection Using LASSO Regression</p><p style='margin: 0'>Feature Selection to Select the Most Relevant Predictors: Variable Selection Using LASSO Regression</p></td></tr><tr><td style='padding: 15px;'><p>3. Variable Selection with FSelector</p><p style='margin: 0'>Feature Selection to Select the Most Relevant Predictors: Variable Selection with FSelector</p></td></tr><tr><td style='padding: 15px;'><p>4. Boruta Analysis for Feature Selection</p><p style='margin: 0'>Feature Selection to Select the Most Relevant Predictors: Boruta Analysis for Feature Selection</p></td></tr></tbody></table><br><h4>8. Supervised Learning Theory</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Some Basic Supervised Learning Concepts</p><p style='margin: 0'>Supervised Learning Theory: Some Basic Supervised Learning Concepts</p></td></tr><tr><td style='padding: 15px;'><p>2. Pre-processing for Supervised Learning</p><p style='margin: 0'>Supervised Learning Theory: Pre-processing for Supervised Learning</p></td></tr></tbody></table><br><h4>9. Supervised Learning: Classification</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What are GLMs?</p><p style='margin: 0'>Supervised Learning: Classification: What are GLMs?</p></td></tr><tr><td style='padding: 15px;'><p>2. Logistic Regression Models as Binary Classifiers</p><p style='margin: 0'>Supervised Learning: Classification: Logistic Regression Models as Binary Classifiers</p></td></tr><tr><td style='padding: 15px;'><p>3. Binary Classifier with PCA</p><p style='margin: 0'>Supervised Learning: Classification: Binary Classifier with PCA</p></td></tr><tr><td style='padding: 15px;'><p>4. Some Pointers on Evaluating Accuracy</p><p style='margin: 0'>Supervised Learning: Classification: Some Pointers on Evaluating Accuracy</p></td></tr><tr><td style='padding: 15px;'><p>5. Obtain Binary Classification Accuracy Metrics</p><p style='margin: 0'>Supervised Learning: Classification: Obtain Binary Classification Accuracy Metrics</p></td></tr><tr><td style='padding: 15px;'><p>6. More on Binary Accuracy Measures</p><p style='margin: 0'>Supervised Learning: Classification: More on Binary Accuracy Measures</p></td></tr><tr><td style='padding: 15px;'><p>7. Linear Discriminant Analysis</p><p style='margin: 0'>Supervised Learning: Classification: Linear Discriminant Analysis</p></td></tr><tr><td style='padding: 15px;'><p>8. Our Multi-class Classification Problem</p><p style='margin: 0'>Supervised Learning: Classification: Our Multi-class Classification Problem</p></td></tr><tr><td style='padding: 15px;'><p>9. Classification Trees</p><p style='margin: 0'>Supervised Learning: Classification: Classification Trees</p></td></tr><tr><td style='padding: 15px;'><p>10. More on Classification Tree Visualization</p><p style='margin: 0'>Supervised Learning: Classification: More on Classification Tree Visualization</p></td></tr><tr><td style='padding: 15px;'><p>11. Classification with Party Package</p><p style='margin: 0'>Supervised Learning: Classification: Classification with Party Package</p></td></tr><tr><td style='padding: 15px;'><p>12. Decision Trees</p><p style='margin: 0'>Supervised Learning: Classification: Decision Trees</p></td></tr><tr><td style='padding: 15px;'><p>13. Random Forest (RF) Classification</p><p style='margin: 0'>Supervised Learning: Classification: Random Forest (RF) Classification</p></td></tr><tr><td style='padding: 15px;'><p>14. Examine Individual Variable Importance for Random Forests</p><p style='margin: 0'>Supervised Learning: Classification: Examine Individual Variable Importance for Random Forests</p></td></tr><tr><td style='padding: 15px;'><p>15. GBM Classification</p><p style='margin: 0'>Supervised Learning: Classification: GBM Classification</p></td></tr><tr><td style='padding: 15px;'><p>16. Support Vector Machines (SVM) for Classification</p><p style='margin: 0'>Supervised Learning: Classification: Support Vector Machines (SVM) for Classification</p></td></tr><tr><td style='padding: 15px;'><p>17. More SVM for Classification</p><p style='margin: 0'>Supervised Learning: Classification: More SVM for Classification</p></td></tr><tr><td style='padding: 15px;'><p>18. Variable Importance in SVM Modelling with rminer</p><p style='margin: 0'>Supervised Learning: Classification: Variable Importance in SVM Modelling with rminer</p></td></tr></tbody></table><br><h4>10. Additional Lectures</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Fuzzy C-Means Clustering</p><p style='margin: 0'>Additional Lectures: Fuzzy C-Means Clustering</p></td></tr></tbody></table>

Packt

HTML

The underlying patterns in your data hold vital insights; unearth them with cutting-edge clustering and classification techniques in R

Clustering and Classification with Machine Learning in R

General Admission

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful.</p>Overview<p>By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data.</p><p>This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive.<br /><br />You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions.</p></div><div id="course-pills-2"><h4>Data Exploration and Cleaning</h4><ul><li>Python and the Anaconda Package Management System</li><li>Different Types of Data Science Problems</li><li>Loading the Case Study Data with Jupyter and pandas</li><li>Data Quality Assurance and Exploration</li><li>Exploring the Financial History Features in the Dataset</li><li>Activity 1: Exploring Remaining Financial Features in the Dataset</li></ul><h4>Introduction to Scikit-Learn and Model Evaluation</h4><ul><li>Introduction</li><li>Model Performance Metrics for Binary Classification</li><li>Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve</li></ul><h4>Details of Logistic Regression and Feature Exploration</h4><ul><li>Introduction</li><li>Examining the Relationships between Features and the Response</li><li>Univariate Feature Selection: What It Does and Doesn't Do</li><li>Building Cloud-Native Applications</li><li>Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients</li></ul><h4>The Bias-Variance Trade-off</h4><ul><li>Introduction</li><li>Estimating the Coefficients and Intercepts of Logistic Regression</li><li>Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters</li><li>Activity 4: Cross-Validation and Feature Engineering with the Case Study Data</li></ul><h4>Decision Trees and Random Forests</h4><ul><li>Introduction</li><li>Decision trees</li><li>Random Forests: Ensembles of Decision Trees</li><li>Activity 5: Cross-Validation Grid Search with Random Forest</li></ul><h4>Imputation of Missing Data, Financial Analysis, and Delivery to Client</h4><ul><li>Introduction</li><li>Review of Modeling Results</li><li>Dealing with Missing Data: Imputation Strategies</li><li>Activity 6: Deriving Financial Insights</li><li>Final Thoughts on Delivering the Predictive Model to the Client</li></ul></div>

Nexus Human

Predictive Analytics

Data Engineering

Big Data Analytics

Data Science

Data Mining

Data Skills

Data Science Projects with Python

<p>Are you curious about renewable energy? Are you interested in building your career in this field? Do you want to know everything related to this topic? Do you want to know the environmental laws and regulations regarding environmental management? This comprehensive bundle course has a lot to offer. Enrol this 5-in-1 bundle course and start learning.</p> <p>The renewable energy course covers sources of renewable energy, benefits and implementation of renewable energy in today's world. The course will provide you with all of the necessary understanding of renewable energy, including its application, with an emphasis on local and regional settings. You will learn industry standard procedures for calculating renewable resources, among other things.</p> <p>Besides, the environmental law course also provides insights into environmental laws and management regulations in the UK. The learner will ultimately realise that environmental health is not different from personal health from the environmental health course. There are also dedicated courses for forest, oil and gas management. So, enrol this compact bundle course and empower yourself with skills and knowledge regarding energy, environment, and natural resource management.</p> <p><strong>Learning Outcomes</strong></p> <p>After completing this course, you will be able to:</p> <ul> <li>Describe the concepts of sustainable energy</li><li>Know sustainable energy sources.</li><li>Understand solar thermal energy and solar photovoltaics.</li><li>Learn about Geothermal, Tidal and Wind energy.</li><li>Know renewable energy prospectus in the UK.</li></ul> <p><strong>This bundle includes the following courses:</strong></p> <ul> <li><strong>Course 01:</strong> Renewable Energy</li><li><strong>Course 02:</strong> Environmental Law</li><li><strong>Course 03:</strong> Environmental Health</li><li><strong>Course 04:</strong> Forestry</li><li><strong>Course 05: </strong>Oil and Gas Management</li></ul> <p><strong>Key Features</strong></p> <ul> <li>Accredited by CPD</li><li>Instant e-certificate</li><li>Fully online, interactive Renewable Energy course with audio voiceover</li><li>Self-paced learning and laptop, tablet, smartphone-friendly</li><li>24/7 Learning Assistance</li><li>Discounts on bulk purchases</li></ul> <p><strong>Enrol now in this </strong><strong>Renewable Energy</strong><strong> course to excel!</strong></p><p><strong>How You will be Benefited from </strong><strong>Renewable Energy</strong><strong> Bundle</strong></p> <p>All through this self-paced training, you will get engaging learning materials and acquire the necessary knowledge to work with various concepts to gain a competitive advantage in the employment market.</p> <p><strong>Accreditation</strong></p> <p>All of our courses included in this Renewable Energy bundle are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field.</p> <p><strong>Certification</strong></p> <p>Once you've successfully completed your Renewable Energy course, you will immediately be sent digital certificates for the bundle courses.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        20 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                             <p>This course does not require any prior requirements. This course is completely online. This course can be enrolled by:</p> <ul> <li>Students</li><li>Job Seekers</li><li>Anyone interested in renewable energy, environmental law and health.</li><li>People working in this field want to polish their knowledge and skills.</li></ul> 
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                             <p>There are no formal requirements for this bundle courses to be enrolled.</p> 
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                             <p>Completion of this course adds value to your CV. This is a diverse field offering a wide range of career opportunities. However, you can look forward to some career paths, such as:</p> <ul> <li>Energy engineer (Salary: £20,000 to £50,000)</li><li>Domestic energy assessor (Salary: £18,000 to £35,000)</li><li>Commercial energy assessor (Salary: £18,000 to £41,000)</li><li>Wind turbine technician (Salary: £25,000 to £47,000)</li></ul> 
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>You will get the hard copy certificates for Free! The delivery charge of the hard copy certificate inside the UK is £3.99 each.</p> </div>

                        </div>

Training Express

Renewable Energy - mini Bundle Course

<p>The Agricultural Science at QLS Level 4 is all you need to advance your career in relevant fields.</p><p>Agriculture is an essential part of human life. It's the main economic activity in most countries and creates most of the world's food. Almost all countries have some form of agricultural activity or industry. Many jobs are created by farming and are essential for supporting human life. Most people who work in agriculture are farmers, but some are involved in industrial farming. Agriculturalists study all aspects of agriculture to improve efficiency and understand how to manage natural resources best.</p><p>This course will help you to get an idea about agricultural systems and foundations. All important sectors of agriculture have been discussed briefly and precisely. Therefore, you can get a good concept quickly and make it happen practically.</p><p>Enrol now to discover everything you need to know about Agricultural Science at QLS Level 4 and the skills to improve your talents in this field and be confident in your knowledge bucket with One Education as your right hand!</p><p><strong>Meet the Endorsement &amp; Accreditation</strong></p><p>The Quality Licence Scheme has been designed specifically to recognise high-quality courses. This Agricultural Science at QLS Level 4 course materials is 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. Also, CPD Quality Standards (CPD QS) accreditation assures the Agricultural Science at QLS Level 4 course training and learning activities are relevant, reliable, and up to date.</p><p><strong>Key Benefits</strong></p><ul><li>Learning materials of the Design course contain engaging voiceover and visual elements for your comfort.</li><li>Get 24/7 access to all content for a full year.</li><li>Each of our students gets full tutor support on weekdays (Monday to Friday)</li></ul><p><strong>Course Curriculum:</strong></p><p><strong>Module 1: Introduction to Agricultural Science</strong></p><ul><li>Agriculture</li><li>Agriculture as Art, Science and Business of Crop Production</li><li>Agronomy</li><li>Seeds and Crop Management</li><li>Sowing Date</li><li>Sowing Depth</li><li>Planting Pattern and Sowing Method</li><li>Crop Emergence</li></ul><p><strong>Module 2: Horticulture and The Nursery Production</strong></p><ul><li>Horticulture</li><li>What Is Horticulture?</li><li>Basic Needs</li><li>Nursery<br /><ul><li>Climatic Considerations</li><li>Soil Factors</li></ul></li><li>Container Nursery Production</li><li>Containers</li><li>Advantages and Disadvantages</li><li>Field Nursery</li><li>Types of Production</li></ul><p><strong>Module 3: Plant Propagation</strong></p><ul><li>What Is Plant Propagation?</li><li>Sexual Propagation<br /><ul><li>Seed</li><li>Germination</li><li>Water</li><li>Light</li><li>Oxygen</li><li>Temperature</li><li>Methods of Breaking Dormancy</li></ul></li></ul><ul><li>Asexual Propagation<br /><ul><li>Cutting</li><li>Layering</li><li>Division</li><li>Separation</li></ul></li></ul><p><strong>Module 4: Soil Science</strong></p><ul><li>What Is Soil?</li><li>Soil Profile</li><li>Soil Particles</li><li>Sand</li><li>Slit</li><li>Clay</li><li>Soil Structure</li><li>Soil pH</li></ul><p><strong>Module 5: Plant Nutrition</strong></p><ul><li>Essential Soil Minerals for Plants</li><li>Macronutrients</li><li>Primary Nutrients</li><li>Secondary Nutrients</li><li>Micronutrients</li></ul><p><strong>Module 6: Controlling Plant Pests</strong></p><ul><li>Pests</li><li>Pesticides<br /><ul><li>Insecticides</li><li>Fungicides</li><li>Nematicides</li><li>Rodenticides</li><li>Molluscicides</li><li>Miticides</li><li>Avicides</li></ul></li><li>Methods of Pesticide Application</li><li>Other Measures for Controlling Pests<br /><ul><li>Organic Pest and Insect Control</li><li>Elimination of Breeding Grounds</li><li>Poisoned Bait</li><li>Field Burning</li></ul></li><li>Integrated Pest Management (IPM)</li><li>Goals of IPM</li><li>Tools for an IPM Program</li></ul><p><strong>Module 7: Weed Control</strong></p><ul><li>Weeds</li><li>Types of Weeds</li><li>Proactive Weed Management Strategies</li><li>Crops that Kill Weeds</li><li>Crop Rotations</li><li>Intercropping</li><li>Weeder Geese</li><li>Tillage</li><li>Organic Methods</li><li>Herbicides</li><li>Classification of Herbicides</li><li>Timing of Application</li><li>Methods of Application</li><li>Integrated Weed Management</li></ul><p><strong>Module 8: Home Gardening</strong></p><ul><li>Introduction</li><li>Locating Plants</li><li>Characteristics of Home-Grown Plants</li><li>Care and Maintenance</li></ul><p><strong>Module 9: Ornamental Plants</strong></p><ul><li>Ornamental Horticulture</li><li>Ornamentals in Society</li><li>Herbaceous Ornamental Plants</li><li>Growth Cycle</li><li>Other Operational Classifications</li><li>Woody Ornamental Plants</li><li>Shrubs</li><li>Trees</li><li>Vines</li></ul><p><strong>Module 10: Cut Flowers</strong></p><ul><li>What Makes a Good Cut Flower?</li><li>In the Vase</li><li>Shedding</li><li>In the Garden</li><li>Harvesting</li><li>The Right Stage to Pick</li><li>How to Pick</li><li>How Often to Cut</li><li>Conditioning</li><li>Stem Preparation</li><li>Searing</li><li>Make Your Own Flower Food</li><li>Harvesting for Drying</li></ul><p><strong>Module 11: Permaculture</strong></p><ul><li>Definition</li><li>Permaculture Ethics</li><li>Aspects of Permaculture</li><li>Theories</li><li>Stacking<br /><ul><li>The Forest Garden</li></ul></li><li>Zones</li></ul><p><strong>Module 12: Aquaculture</strong></p><ul><li>Definition? ?</li><li>Aquaculture? ?Categories? ?<br /><ul><li>Cold Water Species</li><li>Temperate Water Species</li><li>Warm Water Species</li><li>Tropical Species</li></ul></li></ul><ul><li>Harvesting? ?Methods? ?for? ?Fish<br /><ul><li>The Seine or Drag Net</li><li>The Drain Harvest</li><li>Fish Pumps</li><li>?Other Harvesting Methods</li><li>Dip Nets</li></ul></li></ul><p><strong>Module 13: Animal Farming - Raising Beef Cattle</strong></p><ul><li>Cow</li><li>Raising Beef Cattle</li><li>Breeding</li><li>Natural Breeding</li><li>Artificial Breeding</li><li>Slaughter</li></ul><p><strong>Module 14: Animal Farming - Milking of Dairy Cattle</strong></p><ul><li>Milking</li><li>Milking Machine</li><li>Milking by Hand</li><li>Milk</li><li>Pasteurisation</li><li>Raw Milk</li><li>Storage</li><li>Usage</li></ul><p><strong>Course Assessment </strong></p><p>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%.</p><p>When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme.</p><p><strong>Certificate of Achievement</strong></p><p>Endorsed Certificate of Achievement from the Quality Licence Scheme<br />After successfully completing the (<strong>Agricultural Science at QLS Level 4</strong>), learners will get an endorsed certificate (included with the course) delivered right to their doorstep by post, without paying a single penny! Please note that learners residing outside the UK have to pay a £10 postage charge.<br />Accredited Certification from One Education<br />After successfully completing the MCQ assessment of this (<strong>Agricultural Science at QLS Level 4</strong>), you will also qualify for a CPD Accredited Certificate from One Education, as proof of your continued professional development. Certification is available in PDF format, at the cost of £9, or a hard copy can be sent to you via post, at the cost of £15.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        120 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>This Agricultural Science at QLS Level 4 course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This Agricultural Science at QLS Level 4 course is open to all, with no formal entry requirements.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Upon successful completion of the Agricultural Science at QLS Level 4 Course, learners will be equipped with many indispensable skills and have the opportunity to grab. Jobs you can explore:</p><ul><li>General farmworker</li><li>Agricultural Liaison</li><li>Sustainable Farming Officer</li><li>Agriculture Specialist</li><li>Agricultural Inspector</li><li>Agricultural Service Technician</li></ul>
                        </div>

One Education

Agricultural Science at QLS Level 4 Course

Study Plex

Learning & Development

Online Course Marketing

Managed Learning Programme (MLP)

Learning To Learn

Trainers Course

Institute of Leadership & Management (ILM)

Machine Learning Masterclass

<div id="course-pills-1">Duration<p>2.25 Days</p><p>13.5 CPD hours</p>This course is intended for<p>nded for individuals who want to gain basic knowledge of working on Microsoft Server Fundamentals 2016</p>Overview<p>Upon successful completion of this course students will learn the introductory and fundamental functions and services in a Windows Server domain environment. This includes basic Active Directory principles and structures, Windows Firewall basics and configuration, sharing folders and NTFS permissions, Hyper-V virtualization fundamentals, NPS and RADIUS fundamentals, Windows Server backup, and introductory Group Policy functions and uses.</p><p>In this course, students will learn about Active Directory Domain Services, Windows Firewall with Advanced Security, Shared Folders, Virtualization, Network Policy Server, Windows Server Backup and Group Policy.</p></div><div id="course-pills-2"><h4>Introduction</h4><h4>Active Directory Domain Services</h4><ul><li>Overview</li><li>Domains</li><li>OUs</li><li>Forest</li><li>Domain Controllers</li></ul><h4>Windows Firewarll with Advanced Security</h4><ul><li>Firewall Rules and the Firewall Applet</li><li>Connection Security Rules</li></ul><h4>Shared Folders</h4><ul><li>Shared Folder Ideas and Options</li><li>Sharing A Folder</li><li>Permissions</li></ul><h4>Virtualization</h4><ul><li>Hyper-V Ideas</li><li>Virtual Disks and Switches</li><li>Virtual Networks and MAC</li></ul><h4>Network Policy Server</h4><ul><li>RADIUS Ideas</li></ul><h4>Window Server Backup</h4><ul><li>Backup options and types</li><li>Backup performance and advanced settings</li></ul><h4>Group Policy</h4><ul><li>Creation of Group Policy</li><li>Settings for GPOs</li><li>Applying GPOs</li></ul></div>

Microsoft Certification

Networking Fundamentals

Windows Server

Microsoft AZ-104

Microsoft AZ-303

IT Networking Fundamentals

Microsoft Server Fundamentals 2016

<p>Step into the world of professional logging with our '<strong>Professional Logger Certification Program</strong>,' a course that seamlessly blends traditional skills with contemporary forestry practices. Envision yourself as a key player in an industry that is as ancient as civilization, yet as dynamic as the modern environmental landscape. The program begins with an insightful introduction to the logging industry, laying a solid foundation for what follows. As the course progresses, you'll delve into diverse logging techniques and procedures, each designed to enhance your proficiency and adaptability in various forestry operations.</p>
<p>This course is not just about felling trees; it's a comprehensive journey through the entire spectrum of the logging industry. You'll gain practical knowledge in managing log yard operations, processing timber, and employing advanced logging practices. The curriculum also covers vital aspects of logistical operations and supply chain management in the timber industry, integrating economic efficiency with ecological mindfulness. The program concludes with a strong emphasis on environmental sustainability, conservation ethics, and legal frameworks, ensuring you're equipped not just with skills, but also with a deep sense of responsibility towards nature and society.</p>
<p><strong>Learning Outcomes</strong></p>
<ul>
<li>Acquire a deep understanding of the logging industry's history and current practices.</li>
<li>Develop proficiency in various traditional and modern logging techniques.</li>
<li>Gain practical knowledge of log yard operations and timber processing.</li>
<li>Learn about the integration of advanced technology in logging.</li>
<li>Understand the principles of environmental sustainability and legal frameworks in forestry.</li>
</ul>
<h3><b>Why choose this <span>Professional Logger Certification Program</span>?</b></h3>
<ol>
<li>Unlimited access to the course for a lifetime.</li>
<li>Opportunity to earn a certificate accredited by the <b>CPD Quality Standards</b> and <b>CIQ </b>after completing this course.</li>
<li>Structured lesson planning in line with industry standards.</li>
<li>Immerse yourself in innovative and captivating course materials and activities.</li>
<li>Assessments designed to evaluate advanced cognitive abilities and skill proficiency.</li>
<li>Flexibility to complete the Course at your own pace, on your own schedule.</li>
<li>Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience.</li>
<li>Unlock career resources for CV improvement, interview readiness, and job success.</li>
</ol>
<h3><b>Who is this <span>Professional Logger Certification Program</span></b><b><span> </span></b><b>for?</b></h3>
<ul>
<li>Future professionals in logging and timber management.</li>
<li>Forestry workers aiming to broaden their operational skills.</li>
<li>Conservationists interested in sustainable forestry practices.</li>
<li>Timber industry supply chain and logistics personnel.</li>
<li>Safety and regulatory officers in forestry sectors.</li>
</ul>
<h3><b>Career path</b></h3>
<ul>
<li><strong>Forestry Operations Manager</strong>: £25,000 - £43,000</li>
<li><strong>Timber Procurement Specialist</strong>: £27,000 - £44,000</li>
<li><strong>Conservation Scientist in Forestry</strong>: £23,000 - £39,000</li>
<li><strong>Forest Product Technology Advisor</strong>: £24,000 - £41,000</li>
<li><strong>Ecosystem Management Officer</strong>: £22,000 - £37,000</li>
<li><strong>Forestry Compliance Inspector</strong>: £20,000 - £33,000</li>
</ul>
<h3><b>Prerequisites</b></h3>
<p><span>This </span><b>Professional Logger Certification Program</b><span> does not require you to have any prior qualifications or experience. You can just enrol and start learning.This </span><b>Professional Logger Certification Program</b><span> 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.</span></p>
<h3><b>Certification</b></h3>
<p><span>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.</span></p><div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4">Module 1: Introduction to Logging Industry</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to Logging Industry</td>
					<td> </td>
					<td><span><i></i> 00:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 2: Logging Techniques and Procedures</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Logging Techniques and Procedures</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 3: Log Yard Operations and Processing</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Log Yard Operations and Processing</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 4: Advanced Logging Practices and Technology</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Advanced Logging Practices and Technology</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 5: Logistical Operations and Supply Chain Management</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Logistical Operations and Supply Chain Management</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 6: Environmental Sustainability and Conservation</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Environmental Sustainability and Conservation</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 7: Occupational Health and Training</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Occupational Health and Training</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 8: Ethical and Legal Considerations</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Ethical and Legal Considerations</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

Studyhub UK

Forestry

Professional Skills Course (PSC)

Professional Logger Certification Program

Renewable Energy

Renewable Energy Systems Engineering - Advanced Diploma

<p>Picture yourself in the heart of a business, unravelling the mysteries behind financial choices and cost implications. '<strong>Marginal Costing in Economics: Financial Decision-Making</strong>' serves as a compass guiding you through the dense forest of economic principles. The course illuminates the core concepts of costing, demystifying the art of marginal costing, and offers insights into how financial decisions are carved from this very foundation. The curriculum stretches beyond textbook definitions, painting a comprehensive picture of how every penny impacts the larger economic canvas.</p>
<p>Through a series of meticulously curated modules, learners dive deep into the world of cost classifications, uncovering the nuances of Cost-Volume-Profit Analysis and its significance. By the course's end, the art of decision-making using marginal costing becomes second nature. Yet, in the spirit of holistic education, it also shines a spotlight on the limitations and criticisms of marginal costing, ensuring learners gain a balanced perspective.</p>
<p><strong>Learning Outcomes</strong></p>
<ul>
<li>Understand and differentiate among various costing methods.</li>
<li>Analyse the principles of marginal costing and its application in financial decisions.</li>
<li>Classify costs appropriately and comprehend the significance of Cost-Volume-Profit Analysis.</li>
<li>Evaluate financial scenarios using the Contribution Margin Ratio for effective profit planning.</li>
<li>Critically assess the limitations and criticisms associated with marginal costing.</li>
</ul>
<h3><b>Why buy this <span>Marginal Costing in Economics: Financial Decision-Making</span>?</b></h3>
<ol>
<li><span>Unlimited access to the course for forever</span></li>
<li><b>Digital Certificate, Transcript, student ID</b><span> all included in the price</span></li>
<li><span>Absolutely no hidden fees</span></li>
<li><span>Directly receive </span><b>CPD </b><span>accredited qualifications after course completion</span></li>
<li><span>Receive one to one assistance on every weekday from professionals</span></li>
<li><span>Immediately receive the PDF certificate after passing</span></li>
<li><span>Receive the original copies of your certificate and transcript on the next working day</span></li>
<li><span>Easily learn the skills and knowledge from the comfort of your home</span></li>
</ol>
<h3><b>Certification</b></h3>
<p><span>After studying the course materials of the </span><b>Marginal Costing in Economics: Financial Decision-Making</b><span> 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.</span></p>
<h3><b>Who is this <span>Marginal Costing in Economics: Financial Decision-Making</span> for?</b></h3>
<ul>
<li>Finance students and enthusiasts eager to deepen their understanding of costing.</li>
<li>Business owners seeking to optimise their financial decision-making process.</li>
<li>Economists aiming to strengthen their knowledge on cost implications.</li>
<li>Financial consultants looking to diversify their analytical tools.</li>
<li>Professionals gearing up for roles in financial planning and analysis.</li>
</ul>
<h3><b>Prerequisites</b></h3>
<p><span>This </span><b>Marginal Costing in Economics: Financial Decision-Making</b><span> does not require you to have any prior qualifications or experience. You can just enrol and start learning.This </span><b>Marginal Costing in Economics: Financial Decision-Making</b><span> 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.</span></p>
<h3><b>Career path</b></h3>
<ul>
<li><strong>Financial Analyst</strong>: £30,000 - £50,000</li>
<li><strong>Cost Accountant</strong>: £35,000 - £55,000</li>
<li><strong>Economic Consultant</strong>: £40,000 - £60,000</li>
<li><strong>Business Finance Manager</strong>: £45,000 - £70,000</li>
<li><strong>Financial Planner</strong>: £32,000 - £52,000</li>
<li><strong>Management Consultant</strong>: £45,000 - £80,000</li>
</ul><div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4">Module 01: Introduction to Costing Methods</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to Costing Methods</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 02: Understanding Marginal Costing</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Understanding Marginal Costing</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 03: Cost Classification</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Cost Classification</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 4: Cost-Volume-Profit (CVP) Analysis</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Cost-Volume-Profit (CVP) Analysis</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 05: Decision-Making Using Marginal Costing</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Decision-Making Using Marginal Costing</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 06: Contribution Margin Ratio and Profit Planning</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Contribution Margin Ratio and Profit Planning</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 07: Limitations and Criticisms of Marginal Costing</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Limitations and Criticisms of Marginal Costing</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

Financial Modelling & Analysis

Finance Cert & Exam Prep

Business Economics

Business Studies

A Level Economics

Finance For Non Finance Managers

Marginal Costing in Economics: Financial Decision-Making

Python

Get involved in a learning adventure, mastering R from foundational basics to advanced techniques. This course is a gateway to the realm of data science. Explore statistical machine learning models and intricacies of deep learning and create interactive Shiny apps. Unleash the power of R and elevate your proficiency in data-driven decision-making.

R Ultimate 2023 - R for Data Science and Machine Learning

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p></p><p>This four-day course is intended for Windows Server Hybrid Administrators who have experience working with Windows Server and want to extend the capabilities of their on-premises environments by combining on-premises and hybrid technologies. Windows Server Hybrid Administrators implement and manage on-premises and hybrid solutions such as identity, management, compute, networking, and storage in a Windows Server hybrid environment.</p><p></p><p></p><p>This course teaches IT Professionals how to manage core Windows Server workloads and services using on-premises, hybrid, and cloud technologies. The course teaches IT Professionals how to implement and manage on-premises and hybrid solutions such as identity, management, compute, networking, and storage in a Windows Server hybrid environment.</p><p></p>Prerequisites<p></p><li>Experience with managing Windows Server operating system and Windows Server workloads in on-premises scenarios, including AD DS, DNS, DFS, Hyper-V, and File and Storage Services  </li><li>Experience with common Windows Server management tools (implied in the first prerequisite).  </li><li>Basic knowledge of core Microsoft compute, storage, networking, and virtualization technologies (implied in the first prerequisite).  </li><li>Experience and an understanding of core networking technologies such as IP addressing, name resolution, and Dynamic Host Configuration Protocol (DHCP)  </li><li>Experience working with and an understanding of Microsoft Hyper-V and basic server virtualization concepts  </li><li>Basic experience with implementing and managing IaaS services in Microsoft Azure  </li><li>Basic knowledge of Azure Active Directory  </li><li>Experience working hands-on with Windows client operating systems such as Windows 10 or Windows 11  </li><li>Basic experience with Windows PowerShell<p></p></li></div><div id="course-pills-2"><h3>1 - Introduction to AD DS</h3> <ul> <li>Define AD DS</li> <li>Define users, groups, and computers</li> <li>Define AD DS forests and domains</li> <li>Define OUs</li> <li>Manage objects and their properties in AD DS</li> </ul> <h3>2 - Manage AD DS domain controllers and FSMO roles</h3> <ul> <li>Deploy AD DS domain controllers</li> <li>Maintain AD DS domain controllers</li> <li>Manage the AD DS Global Catalog role</li> <li>Manage AD DS operations masters</li> <li>Manage AD DS schema</li> </ul> <h3>3 - Implement Group Policy Objects</h3> <ul> <li>Define GPOs</li> <li>Implement GPO scope and inheritance</li> <li>Define domain-based GPOs</li> <li>Create and configure a domain-based GPO</li> <li>Define GPO storage</li> <li>Define administrative templates</li> </ul> <h3>4 - Manage advanced features of AD DS</h3> <ul> <li>Create trust relationships</li> <li>Implement ESAE forests</li> <li>Monitor and troubleshoot AD DS</li> <li>Create custom AD DS partitions</li> </ul> <h3>5 - Implement hybrid identity with Windows Server</h3> <ul> <li>Select a Microsoft Entra integration model</li> <li>Plan for Microsoft Entra integration</li> <li>Prepare on-premises Active Directory for directory synchronization</li> <li>Install and configure directory synchronization with Microsoft Entra Connect</li> <li>Implement Seamless Single Sign-On</li> <li>Enable Microsoft Entra login in for Windows VM in Azure</li> <li>Describe Microsoft Entra Domain Services</li> <li>Implement and configure Microsoft Entra Domain Services</li> <li>Manage Windows Server 2019 in a Microsoft Entra Domain Services environment</li> <li>Create and configure a Microsoft Entra Domain Services instance</li> <li>Join a Windows Server VM to a managed domain</li> </ul> <h3>6 - Deploy and manage Azure IaaS Active Directory domain controllers in Azure</h3> <ul> <li>Select an option to implement directory and identity services using Active Directory Domain Services in Azure</li> <li>Deploy and configure Active Directory Domain Services domain controllers in Azure VMs</li> <li>Install a replica Active Directory domain controller in an Azure VM</li> <li>Install a new Active Directory forest on an Azure VNet</li> </ul> <h3>7 - Perform Windows Server secure administration</h3> <ul> <li>Define least privilege administration</li> <li>Implement delegated privileges</li> <li>Use privileged access workstations</li> <li>Use jump servers</li> </ul> <h3>8 - Describe Windows Server administration tools</h3> <ul> <li>Explore Windows Admin Center</li> <li>Use Server Manager</li> <li>List Remote Server Administration Tools</li> <li>Use Windows PowerShell</li> <li>Use Windows PowerShell to remotely administer a server</li> </ul> <h3>9 - Perform post-installation configuration of Windows Server</h3> <ul> <li>List the available post-installation configuration tools</li> <li>Configure Server Core using Sconfig</li> <li>Use DSC to configure Windows Server</li> <li>Perform post-installation configuration with Windows Admin Center</li> <li>Configure a server with answer files</li> </ul> <h3>10 - Just Enough Administration in Windows Server</h3> <ul> <li>Explain the concept of Just Enough Administration (JEA)</li> <li>Define role capabilities for a JEA endpoint</li> <li>Create a session configuration file to register a JEA endpoint</li> <li>Describe how JEA endpoints work to limit access to a PowerShell session</li> <li>Create and connect to a JEA endpoint</li> <li>Demonstration: Connect to a JEA endpoint</li> </ul> <h3>11 - Administer and manage Windows Server IaaS Virtual Machine remotely</h3> <ul> <li>Select the appropriate remote administration tool</li> <li>Manage Windows Virtual Machines with Azure Bastion</li> <li>Create an Azure Bastion host</li> <li>Configure just-in-time administration</li> </ul> <h3>12 - Manage hybrid workloads with Azure Arc</h3> <ul> <li>Describe Azure Arc</li> <li>Onboard Windows Server instances</li> <li>Connect hybrid machines to Azure from the Azure portal</li> <li>Use Azure Arc to manage Windows Server instances</li> <li>Restrict access with RBAC</li> </ul> <h3>13 - Configure and manage Hyper-V</h3> <ul> <li>Define Hyper-V</li> <li>Define Hyper-V Manager</li> <li>Configure Hyper-V hosts using best practices</li> <li>Configure Hyper-V networking</li> <li>Assess advanced Hyper-V networking features</li> <li>Define nested virtualization</li> </ul> <h3>14 - Configure and manage Hyper-V virtual machines</h3> <ul> <li>List the virtual machine configuration versions</li> <li>List the virtual machine generation versions</li> <li>List available VHD formats and types</li> <li>Create and configure VMs</li> <li>Determine storage options for VMs</li> <li>Define shared VHDs and VHD Sets</li> <li>Implement guest clusters using shared VHDX</li> </ul> <h3>15 - Secure Hyper-V workloads</h3> <ul> <li>Define guarded fabric</li> <li>Define the Host Guardian Service</li> <li>Explore TPM-trusted attestation</li> <li>Define KPS</li> <li>Determine key features of shielded VMs</li> <li>Compare encryption-supported and shielded VMs in a guarded fabric</li> <li>Implement a shielded VM</li> </ul> <h3>16 - Run containers on Windows Server</h3> <ul> <li>Define containers</li> <li>List the differences between containers and VMs</li> <li>Define Windows Server and Hyper-V containers and isolation modes</li> <li>Explore Docker</li> <li>Prepare a Windows Server 2019 host for container deployment</li> <li>Security, Storage, and Networking with Windows containers</li> </ul> <h3>17 - Orchestrate containers on Windows Server using Kubernetes</h3> <ul> <li>Define orchestration</li> <li>Define Kubernetes</li> <li>Deploy Kubernetes resources</li> <li>Create a Kubernetes cluster on Windows</li> <li>Define Azure Arc</li> <li>Connect an Azure Arc-enabled Kubernetes cluster to Azure Arc</li> </ul> <h3>18 - Plan and deploy Windows Server IaaS Virtual Machines</h3> <ul> <li>Describe Azure compute</li> <li>Describe Virtual Machine storage</li> <li>Deploy Azure Virtual Machines</li> <li>Create a windows Virtual Machine using the portal</li> <li>Create a windows Virtual Machine using Azure CLI</li> <li>Deploy Azure Virtual Machines using templates</li> <li>Describe additional management optimization options</li> </ul> <h3>19 - Customize Windows Server IaaS Virtual Machine images</h3> <ul> <li>Create a generalized image</li> <li>Create a new Virtual Machine from a managed image</li> <li>Create a managed image of a generalized virtual machine in Azure</li> <li>Create a Virtual Machine from a managed image</li> <li>Implement Azure Image Builder</li> <li>Create a windows Virtual Machine using Azure Image Builder template</li> <li>Create a Windows Virtual Machine with Azure Image Builder using PowerShell</li> </ul> <h3>20 - Automate the configuration of Windows Server IaaS Virtual Machines</h3> <ul> <li>Describe Azure Automation</li> <li>Implement Azure Automation with DSC</li> <li>Remediate noncompliant servers</li> <li>Describe Custom Script Extensions</li> <li>Configure a Virtual Machine by using DSC</li> </ul> <h3>21 - Deploy and manage DHCP</h3> <ul> <li>Use DHCP to simplify IP configuration</li> <li>Install and configure the DHCP role</li> <li>Configure DHCP options</li> <li>Configure DHCP scopes</li> <li>Select DHCP high availability options</li> <li>Implement DHCP Failover</li> </ul> <h3>22 - Implement Windows Server DNS</h3> <ul> <li>Explore the DNS architecture</li> <li>Work with DNS zones and records</li> <li>Install and configure the DNS role</li> <li>Implement DNS forwarding</li> </ul> <h3>23 - Implement IP Address Management</h3> <ul> <li>Define IP Address Management</li> <li>Deploy IP Address Management</li> <li>Administer IP Address Management</li> <li>Configure IP Address Management options</li> <li>Manage DNS zones with IP Address Management</li> <li>Manage DHCP servers with IP Address Management</li> <li>Use IP Address Management to manage IP addressing</li> </ul> <h3>24 - Implement remote access</h3> <ul> <li>Examine the remote access options in Windows Server</li> <li>Select and set up VPNs</li> <li>Use NPS to create and enforce network access policies</li> <li>Plan and implement NPS</li> <li>Deploy a PKI for remote access</li> <li>Use WAP as a reverse web proxy</li> </ul> <h3>25 - Implement hybrid network infrastructure</h3> <ul> <li>Describe Azure network topologies</li> <li>Implement Azure VPN options</li> <li>Create a route-based VPN gateway using the Azure portal</li> <li>Implement Azure ExpressRoute</li> <li>Configure Azure Virtual WAN</li> <li>Implement DNS in hybrid environments</li> </ul> <h3>26 - Implement DNS for Windows Server IaaS VMs</h3> <ul> <li>Understand Azure DNS</li> <li>Implement Azure DNS</li> <li>Create an Azure DNS zone and record using the Azure portal</li> <li>Implement DNS with Azure IaaS virtual machines</li> <li>Implement split-horizon DNS in Azure</li> <li>Troubleshoot DNS</li> </ul> <h3>27 - Implement Windows Server IaaS VM IP addressing and routing</h3> <ul> <li>Implement a virtual network</li> <li>Implement IaaS VM IP addressing</li> <li>Assign and manage IP addresses</li> <li>Configure a private IP address for a virtual machine using the Azure portal</li> <li>Create a virtual machine with a static public IP address using the Azure portal</li> <li>Implement IaaS virtual machine IP routing</li> <li>Implement IPv6 for Windows Server IaaS virtual machines</li> </ul> <h3>28 - Manage Windows Server file servers</h3> <ul> <li>Define the Windows Server file system</li> <li>List the benefits and uses of File Server Resource Manager</li> <li>Define SMB and its security considerations</li> <li>Configure SMB protocol</li> <li>Define Volume Shadow Copy Service</li> </ul> <h3>29 - Implement Storage Spaces and Storage Spaces Direct</h3> <ul> <li>Define the Storage Spaces architecture and its components</li> <li>List the functionalities, benefits, and use cases of Storage Spaces</li> <li>Implement Storage Spaces</li> <li>List the functionalities, components, benefits, and use cases of Storage Spaces Direct</li> <li>Implement Storage Spaces Direct</li> </ul> <h3>30 - Implement Windows Server Data Deduplication</h3> <ul> <li>Define the architecture, components, and functionality of Data Deduplication</li> <li>Define the use cases and interoperability of Data Deduplication</li> <li>Implement Data Deduplication</li> <li>Manage and maintain Data Deduplication</li> </ul> <h3>31 - Implement Windows Server iSCSI</h3> <ul> <li>List the functionalities, components, and use cases of iSCSI</li> <li>List the considerations for implementing iSCSI</li> <li>Implement iSCSI</li> <li>Configure high availability for iSCSI</li> </ul> <h3>32 - Implement Windows Server Storage Replica</h3> <ul> <li>List the functionalities and components of Storage Replica</li> <li>Examine the prerequisites for implementing Storage Replica</li> <li>Implement Storage Replica by using Windows Admin Center</li> <li>Implement Storage Replica by using Windows PowerShell</li> </ul> <h3>33 - Implement a hybrid file server infrastructure</h3> <ul> <li>Describe Azure File services</li> <li>Configure Azure Files</li> <li>Configure connectivity to Azure Files</li> <li>Describe Azure File Sync</li> <li>Implement Azure File Sync</li> <li>Deploy Azure File Sync</li> <li>Deploy Azure File Sync 2</li> <li>Manage cloud tiering</li> <li>Migrate from DFSR to Azure File Sync</li> </ul></div>

Microsoft AZ-900

Microsoft Certified Solutions Associate (MCSA)

Microsoft AZ-700

AZ-800T00 Administering Windows Server Hybrid Core Infrastructure

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					<div><p>Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Forest Schooling has been specially designed to help learners gain a good command of Forest Schooling, providing them with a solid foundation of knowledge to become a qualified professional.</p><p>Through this Forest Schooling, you will gain both practical and theoretical understanding of Forest Schooling that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.</p><p>Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals. </p></div>
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				<h2>Learning outcome</h2>
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										<span>Get a deep understanding of Forest Schooling just in hours not years</span>
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										<span>Familiar yourself with the recent development and updates of the relevant industry</span>
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										<span>Get help from our expert tutors anytime you need</span>
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										<span> Access to course contents that are designed and prepared by industry professionals</span>
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										<span>Study at your convenient time and from wherever you want </span>
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				<h2>Requirements</h2>
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										<span>No formal qualifications required, anyone from any academic background can take this course.</span>
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										<span>Access to any internet-enabled smart device.</span>
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										<span>You will be able to incorporate various practical techniques successfully and understand your customers better.</span>
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                                <h2>Course Curriculum</h2>
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					<td colspan="4"><strong>Module 01: Forest Schooling</strong></td>
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					<td>Forest Schooling</td><td><span>🕐 00:06:00</span></td>
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					<td colspan="4"><strong>Module 02: Benefits of Forest Schooling</strong></td>
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					<td>Benefits of Forest Schooling</td><td><span>🕐 00:10:00</span></td>
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					<td colspan="4"><strong>Module 03: Forest School Programme</strong></td>
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					<td>Forest School Programme</td><td><span>🕐 00:14:00</span></td>
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					<td colspan="4"><strong>Module 04: Learning Activities in Forest School</strong></td>
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					<td>Learning Activities in Forest School</td><td><span>🕐 00:10:00</span></td>
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					<td colspan="4"><strong>Module 05: Playing Activities in Forest Schoo</strong></td>
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					<td>Playing Activities in Forest School</td><td><span>🕐 00:10:00</span></td>
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					<td colspan="4"><strong>Module 06: Survival Activities in Forest School</strong></td>
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					<td>Survival Activities in Forest School</td><td><span>🕐 00:12:00</span></td>
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					<td colspan="4"><strong>Module 07: Child Development</strong></td>
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					<td>Child Development</td><td><span>🕐 00:12:00</span></td>
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					<td colspan="4"><strong>Module 08: Eco-Friendly Forest Schooling</strong></td>
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					<td>Eco-Friendly Forest Schooling</td><td><span>🕐 00:08:00</span></td>
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					<td colspan="4"><strong>Module 09: Safety and Risk Management</strong></td>
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					<td>Safety and Risk Management</td><td><span>🕐 00:08:00</span></td>
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					<td colspan="4"><strong>Assignment</strong></td>
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					<td>Assignment - Forest Schooling</td><td><span>🕐 05:01:00</span></td>
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Skill Up

Certificate in Further Education & Training (Cert Ed)

Forest Therapy

Forest School

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Forest Schooling

<h3><b>Overview</b></h3>
<p><b>Uplift Your Career &amp; Skill Up to Your Dream Job - Learning Simplified From Home!</b></p>
<p><span>Kickstart your career &amp; boost your employability by helping you discover your skills, talents and interests with our special </span><b>Forest Schooling </b><span>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.</span></p>
<p><span>The </span><b>Forest Schooling </b><span>Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This </span><b>Forest Schooling </b><span>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.</span></p>
<p><span>This </span><b>Forest Schooling </b><span>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.</span></p>
<p><span>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.</span></p>
<h3><b>Why buy this Forest Schooling?</b></h3>
<ol>
<li><span>Unlimited access to the course for forever</span></li>
<li><b>Digital Certificate, Transcript, student ID</b><span> all included in the price</span></li>
<li><span>Absolutely no hidden fees</span></li>
<li><span>Directly receive </span><b>CPD </b><span>accredited qualifications after course completion</span></li>
<li><span>Receive one to one assistance on every weekday from professionals</span></li>
<li><span>Immediately receive the PDF certificate after passing</span></li>
<li><span>Receive the original copies of your certificate and transcript on the next working day</span></li>
<li><span>Easily learn the skills and knowledge from the comfort of your home</span></li>
</ol>
<h3><b>Certification</b></h3>
<p><span>After studying the course materials of the </span><b>Forest Schooling</b><span> 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.</span></p>
<h3><b>Who is this course for?</b></h3>
<p><span>This </span><b>Forest Schooling</b><span> course is ideal for</span></p>
<ul>
<li><span>Students</span></li>
<li><span>Recent graduates</span></li>
<li><span>Job Seekers</span></li>
<li><span>Anyone interested in this topic</span></li>
<li><span>People already working in the relevant fields and want to polish their knowledge and skill.</span></li>
</ul>
<h3><b>Prerequisites</b></h3>
<p><span>This </span><b>Forest Schooling</b><span> does not require you to have any prior qualifications or experience. You can just enrol and start learning.This </span><b>Forest Schooling</b><span> 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.</span></p>
<h3><b>Career path</b></h3>
<p><span>As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This </span><b>Forest Schooling </b><span>is a great way for you to gain multiple skills from the comfort of your home.</span></p><div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4"> Module 01: Forest Schooling</td>
				</tr>
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					<td><i></i></td>
					<td>Forest Schooling</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
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					<td colspan="4">Module 02: Benefits of Forest Schooling</td>
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					<td><i></i></td>
					<td>Benefits of Forest Schooling</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
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					<td colspan="4">Module 03: Forest School Programme</td>
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					<td><i></i></td>
					<td>Forest School Programme</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
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					<td colspan="4">Module 04: Learning Activities in Forest School</td>
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					<td><i></i></td>
					<td>Learning Activities in Forest School</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
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					<td colspan="4">Module 05: Playing Activities in Forest School</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Playing Activities in Forest School</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 06: Survival Activities in Forest School</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Survival Activities in Forest School</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 07: Child Development</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Child Development</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 08: Eco-Friendly Forest Schooling</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Eco-Friendly Forest Schooling</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 09: Safety and Risk Management</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Safety and Risk Management</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

<div>
						<div>
				<div>
									<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
								<div>
				<p><span>Register on the Forest Schooling today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career.</span></p><p><span>The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials.</span></p><p><span>Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as proof of your course completion.</span></p><p><span>The Forest Schooling is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones.</span></p><p><span>The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly!</span></p><h5><b>What You Get With The Forest Schooling</b></h5><ul><li><span>Receive a e-certificate upon successful completion of the course</span></li><li><span>Get taught by experienced, professional instructors</span></li><li><span>Study at a time and pace that suits your learning style</span></li><li><span>Get instant feedback on assessments </span></li><li><span>24/7 help and advice via email or live chat</span></li><li><span>Get full tutor support on weekdays (Monday to Friday)</span></li></ul>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
					<div>
							
					<div></div>
											<div></div>
														
							
					<div></div>
											<div></div>
														
							
					<div></div>
											<div></div>
														
							
					<div></div>
											<div></div>
														
					</div>
			</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h2>Course Design</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<div id="course-home"><div><p><span>The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.</span></p><p><span>You are taught through a combination of</span></p><ul><li><span>Video lessons</span></li><li><span>Online study materials</span></li></ul></div></div>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h2>Certification</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99.</span></p>					</div>
						</div>
				</div>
				<div>
				<div>
			<h2>Who Is This Course For:</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.</span></p>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h2>Requirements:</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>The online training is open to all students and has no formal entry requirements. To study the Forest Schooling, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.</span></p>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
									</div>
			</div>
					</div><div>
				<h3>Course Content</h3>

<div id="course_curriculum">
<table width="100%">				<tbody><tr>
					<td colspan="4">Module 01: Forest Schooling</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Forest Schooling</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 02: Benefits of Forest Schooling</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Benefits of Forest Schooling</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 03: Forest School Programme</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Forest School Programme</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 04: Learning Activities in Forest School</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Learning Activities in Forest School</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 05: Playing Activities in Forest School</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Playing Activities in Forest School</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 06: Survival Activities in Forest School</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Survival Activities in Forest School</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 07: Child Development</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Child Development</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 08: Eco-Friendly Forest Schooling</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Eco-Friendly Forest Schooling</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 09: Safety and Risk Management</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Safety and Risk Management</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
			<h2>Frequently Asked Questions</h2>
                        <div>
                            <div>
                                <span>
                                    Are there any prerequisites for taking the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        There are no specific prerequisites for this course, nor
                                        are there any formal entry requirements. All you need is
                                        an internet connection, a good understanding of English
                                        and a passion for learning for this course.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Can I access the course at any time, or is there a set
                                    schedule?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        You have the flexibility to access the course at any time
                                        that suits your schedule. Our courses are self-paced,
                                        allowing you to study at your own pace and convenience.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    How long will I have access to the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        For this course, you will have access to the course
                                        materials for 1 year only. This means you can review the
                                        content as often as you like within the year, even after
                                        you've completed the course. However, if you buy Lifetime
                                        Access for the course, you will be able to access the
                                        course for a lifetime.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Is there a certificate of completion provided after
                                    completing the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        Yes, upon successfully completing the course, you will
                                        receive a certificate of completion. This certificate can
                                        be a valuable addition to your professional portfolio and
                                        can be shared on your various social networks.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Can I switch courses or get a refund if I'm not satisfied
                                    with the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        We want you to have a positive learning experience. If
                                        you're not satisfied with the course, you can request a
                                        course transfer or refund within 14 days of the initial
                                        purchase.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    How do I track my progress in the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        Our platform provides tracking tools and progress
                                        indicators for each course. You can monitor your progress,
                                        completed lessons, and assessments through your learner
                                        dashboard for the course.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    What if I have technical issues or difficulties with the
                                    course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        If you encounter technical issues or content-related
                                        difficulties with the course, our support team is
                                        available to assist you. You can reach out to them for
                                        prompt resolution.
                                    </p>
                                </div>
                            </div>
                        </div>

Janets

Online Course Creation

Online Education

<div>
						<div>
				<div>
									<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
								<div>
				<p><span>Register on the Forest Schooling today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career.</span></p><p><span>The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials.</span></p><p><span>Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion.</span></p><p><span>The Forest Schooling is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones.</span></p><p><span>The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly!</span></p>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h2>What You Get With The Forest Schooling</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<ul><li><span>Receive an e-certificate upon successful completion of the course</span></li><li><span>Get taught by experienced, professional instructors</span></li><li><span>Study at a time and pace that suits your learning style</span></li><li><span>Get instant feedback on assessments </span></li><li><span>24/7 help and advice via email or live chat</span></li><li><span>Get full tutor support on weekdays (Monday to Friday)</span></li></ul>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
					<div>
							
					<div></div>
											<div></div>
														
							
					<div></div>
											<div></div>
														
							
					<div></div>
											<div></div>
														
							
					<div></div>
											<div></div>
														
					</div>
			</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h2>Course Design</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<div id="course-home"><div><p><span>The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.</span></p><p><span>You are taught through a combination of</span></p><ul><li><span>Video lessons</span></li><li><span>Online study materials</span></li></ul></div></div>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h2>Certification</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>Upon successful completion of the course, you will be able to obtain your course completion e-certificate. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99.</span></p>					</div>
						</div>
				</div>
				<div>
				<div>
			<h2>Who Is This Course For</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.</span></p>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h2>Requirements</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>The online training is open to all students and has no formal entry requirements. To study the Forest Schooling, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.</span></p>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
									</div>
			</div>
					</div><div>
				<h3>Course Content</h3>

<div id="course_curriculum">
<table width="100%">				<tbody><tr>
					<td colspan="4"> Module 01: Forest Schooling</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Forest Schooling</td>
					<td> </td>
					<td><span><i></i> 00:17:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 02: Benefits of Forest Schooling</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Benefits of Forest Schooling</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 03: Forest School Programme</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Forest School Programme</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 04: Learning Activities in Forest School</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Learning Activities in Forest School</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 05: Playing Activities in Forest School</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Playing Activities in Forest School</td>
					<td> </td>
					<td><span><i></i> 00:17:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 06: Survival Activities in Forest School</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Survival Activities in Forest School</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 07: Child Development</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Child Development5</td>
					<td> </td>
					<td><span><i></i> 00:17:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 08: Eco-Friendly Forest Schooling</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Eco-Friendly Forest Schooling5</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 09: Safety and Risk Management</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Safety and Risk Management</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
			<h2>Frequently Asked Questions</h2>
                        <div>
                            <div>
                                <span>
                                    Are there any prerequisites for taking the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        There are no specific prerequisites for this course, nor
                                        are there any formal entry requirements. All you need is
                                        an internet connection, a good understanding of English
                                        and a passion for learning for this course.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Can I access the course at any time, or is there a set
                                    schedule?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        You have the flexibility to access the course at any time
                                        that suits your schedule. Our courses are self-paced,
                                        allowing you to study at your own pace and convenience.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    How long will I have access to the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        For this course, you will have access to the course
                                        materials for 1 year only. This means you can review the
                                        content as often as you like within the year, even after
                                        you've completed the course. However, if you buy Lifetime
                                        Access for the course, you will be able to access the
                                        course for a lifetime.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Is there a certificate of completion provided after
                                    completing the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        Yes, upon successfully completing the course, you will
                                        receive a certificate of completion. This certificate can
                                        be a valuable addition to your professional portfolio and
                                        can be shared on your various social networks.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
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<strong>A step-by-step guide that walks you through the fundamentals of Python programming followed using Python libraries to create random forest from scratch. A comprehensive course designed for both beginners with some programming experience or even those who know nothing about ML and random forest!</strong>
        <p>Machine learning is designed to understand and build methods that 'learn' to leverage data to improve performance on a set of tasks. Machine learning algorithms are used in a plethora of applications in medicine, email filtering, speech recognition, and more, where it is challenging to develop conventional algorithms to perform tasks.

The course begins with an introduction to machine learning concepts and explains the motivation for machine learning. The course teaches all major concepts about Python including variables, objects, strings, loops, decision-making statements, classes, and a small project to recap. You will learn to use the power of Python to train your machine and make predictions and implement the ML algorithm 'Random Forest.' Use NumPy with Python for array handling, Pandas data frames for Excel files, and matplotlib for data visualization. You will learn to use Random Forest with sklearn, Matplotlib for Python plotting, and SciKit-Learn for Random Forest.

Upon completion, you will Implement the structure of forest, impurity, information gain, partitions, leaf nodes, and decision nodes using Python and create a complete structure for Random Forest using Python to build one tree that lets you create an entire forest. You will write an accuracy calculator function and implement Random Forest on any dataset.

All resources are available at: https://github.com/PacktPublishing/Machine-Learning-Random-Forest-with-Python-from-Scratch-</p>
        <h2>What You Will Learn</h2><p>Use Random Forest with sklearn and Matplotlib for Python plotting<br>Use SciKit-Learn for Random Forest using the titanic dataset<br>Learn forest structure, impurity, partition, leaf/decision nodes<br>Create a complete Random Forest structure from scratch using Python<br>Build one tree that adds up to create a complete forest<br>Write accuracy calculator functions and implement them on any dataset</p>
        <h2>Audience</h2><p>This course is for you if you want to learn how to program in Python for machine learning or want to make a predictive analysis model.<br><br>This course is for someone who is an absolute beginner and has truly little or even zero ideas of machine learning or wants to learn random forest from zero to hero.</p>
        <h2>Approach</h2><p>This course delivers a step-by-step tutorial with carefully structured video lectures. It builds on what has already been explained and moves one step forward. The course assigns a small task to be solved at the beginning of each lecture, thus keeping you continuously abreast.</p>
        <h2>Key Features</h2><p>Use the power of Python to train your machine to learn like a human and make predictions! * Learn data preprocessing steps to prepare data for machine learning algorithms * Master machine learning concepts and implement the essential ML algorithm, Random Forest</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Machine-Learning-Random-Forest-with-Python-from-Scratch-</p>
        <h2>About the Author</h2><h3>AI Sciences</h3><p>AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.

AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences.

Their courses have successfully helped more than 100,000 students master AI and data science.</p>
        <h2>Course Outline</h2><h4>1. Introduction to the Course</h4><p>This section briefly outlines the Random Forest machine learning algorithm. The section also details what you will learn in this course and the benefits of enrolling in this course.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction and Instructor</p><p style='margin: 0'>In this video, you will learn about the course content in general, the features and benefits of this course, as well as a brief introduction to the instructor.</p></td></tr><tr><td style='padding: 15px;'><p>2. Motivation for the Course</p><p style='margin: 0'>This lecture provides an overview of the benefits of enrolling in this course.</p></td></tr><tr><td style='padding: 15px;'><p>3. Past, Present, and Future of Machine Learning</p><p style='margin: 0'>This lecture illustrates why machine learning has started evolving recently and the future that beholds machine learning.</p></td></tr><tr><td style='padding: 15px;'><p>4. Course Overview</p><p style='margin: 0'>This video will introduce you to Python, machine learning, and Random Forest and discuss the live implementations, quizzes, and projects.</p></td></tr></tbody></table><br><h4>2. Introduction to Python</h4><p>This section focuses on the Python programming language. This section will delve deep into datatypes, numbers, strings, lists, sets, dictionaries, and operators used in Python. You will also learn about loops and functions and work on a calculator project.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Hello World</p><p style='margin: 0'>In this video, we will understand the importance of Python for machine learning, use an IDE (jupyter), and create a Hello World program.</p></td></tr><tr><td style='padding: 15px;'><p>2. Introduction to Data Types</p><p style='margin: 0'>This video introduces us to Python's six data types: numbers, strings, lists, dictionaries, tuples, and sets.</p></td></tr><tr><td style='padding: 15px;'><p>3. Numbers</p><p style='margin: 0'>This lesson will teach us about numbers, the first standard datatype in Python, used for arithmetic operations and storing information.</p></td></tr><tr><td style='padding: 15px;'><p>4. Strings</p><p style='margin: 0'>Here, we will look at the second datatype, strings, which are characters, used to represent text instead of numbers.</p></td></tr><tr><td style='padding: 15px;'><p>5. Tuples</p><p style='margin: 0'>In this topic on tuples, you will learn how to get a starting index of a substring and write a simple program to find the starting index of the word WORLD.</p></td></tr><tr><td style='padding: 15px;'><p>6. Lists</p><p style='margin: 0'>We shall look at the following datatype: lists, mutable (changeable) after creation.</p></td></tr><tr><td style='padding: 15px;'><p>7. Sets</p><p style='margin: 0'>Our next datatype is a set, an unordered collection of iterable and mutable data.</p></td></tr><tr><td style='padding: 15px;'><p>8. Dictionaries</p><p style='margin: 0'>Let's look at the final datatype, dictionaries, indexed, changeable, and unordered data collection.</p></td></tr><tr><td style='padding: 15px;'><p>9. Comparison Operators</p><p style='margin: 0'>Here, you will learn about Python's two types of operators, the comparison operator, and the logical operator.</p></td></tr><tr><td style='padding: 15px;'><p>10. Logical Operators, User Input, Game</p><p style='margin: 0'>This video will teach us about the three types of logical operators: AND, OR, and Not(!).</p></td></tr><tr><td style='padding: 15px;'><p>11. Decision Making (if, else, elif)</p><p style='margin: 0'>Let's understand the fundamental element of any programming language: decision-making. We will look at the if, else, and elif statements.</p></td></tr><tr><td style='padding: 15px;'><p>12. Decision Making (nested if)</p><p style='margin: 0'>Continuing with the decision-making lesson, we will understand what a nested if statement is.</p></td></tr><tr><td style='padding: 15px;'><p>13. Better Coding Practice, Completing the Game</p><p style='margin: 0'>In this lecture, we will complete the game we left in the previous lesson.</p></td></tr><tr><td style='padding: 15px;'><p>14. For Loop</p><p style='margin: 0'>Let's understand the for loop and how it is used to iterate a sequence, which is a list, tuple, string, dictionary, or set.</p></td></tr><tr><td style='padding: 15px;'><p>15. While Loop</p><p style='margin: 0'>Let's understand the while loop, a conditional loop that runs until a given condition is fulfilled.</p></td></tr><tr><td style='padding: 15px;'><p>16. Simple Functions</p><p style='margin: 0'>Here, we will understand what a function is, how to pass data or parameters into a function, and understand the different types of functions.</p></td></tr><tr><td style='padding: 15px;'><p>17. Boolean and Value Returning Function</p><p style='margin: 0'>In this video, we will discuss a function that returns values as true or false, also called the Boolean function.</p></td></tr><tr><td style='padding: 15px;'><p>18. Calculator Project</p><p style='margin: 0'>This video demonstrates how to create our calculator using addition and subtraction functions.</p></td></tr></tbody></table><br><h4>3. Introduction to Machine Learning</h4><p>This section delves deep into the core concepts of machine learning. You will learn how to train our machine, create labels and features, learn about the various data formats, and understand classification, regression, and clustering.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Let's Introduce Machine Learning</p><p style='margin: 0'>This brief video outlines machine learning, its importance, and how it can be used in various applications to make life easier.</p></td></tr><tr><td style='padding: 15px;'><p>2. Kids versus Computer Learning</p><p style='margin: 0'>In this lesson, we will compare their learning features to understand the fundamental difference between a kid and a computer.</p></td></tr><tr><td style='padding: 15px;'><p>3. Dataset</p><p style='margin: 0'>In this lesson, we will dive into the hardcore process of machine learning and the fundamental elements used in machine learning, like datasets, training and testing data, outliers, models, and so on.</p></td></tr><tr><td style='padding: 15px;'><p>4. Labels and Features</p><p style='margin: 0'>In this lesson, we will look at a target or label as output data and feature, a measurable property or characteristic of an element.</p></td></tr><tr><td style='padding: 15px;'><p>5. Outliers</p><p style='margin: 0'>Let's look at outliers, the data points of a dataset that differ from others and are usually excluded by visualizing a dataset.</p></td></tr><tr><td style='padding: 15px;'><p>6. Model and Training</p><p style='margin: 0'>Here, we will look at a machine learning model, an arithmetic expression or equation that fits and learns to predict data.</p></td></tr><tr><td style='padding: 15px;'><p>7. Overfitting and Underfitting</p><p style='margin: 0'>In this video, you will learn about overfitting, a modeling error when a model performs well in training but not in testing, and underfitting, where the model neither performs well during training nor during testing.</p></td></tr><tr><td style='padding: 15px;'><p>8. Accuracy and Error</p><p style='margin: 0'>This lecture explains accuracy and error in data when the predicted outcome is close to the expected result and when it is not defined as an error.</p></td></tr><tr><td style='padding: 15px;'><p>9. Formats of Data</p><p style='margin: 0'>You will learn about the different data formats in machine learning, including structured (labeled or unlabeled) and unstructured data, and how to choose the best format.</p></td></tr><tr><td style='padding: 15px;'><p>10. Types of Learning</p><p style='margin: 0'>Here, we will understand the learning types, including supervised and unsupervised machine learning algorithms.</p></td></tr><tr><td style='padding: 15px;'><p>11. Classification versus Regression</p><p style='margin: 0'>Let's learn about the three modes of machine learning: classification, regression, and clustering.</p></td></tr><tr><td style='padding: 15px;'><p>12. Clustering</p><p style='margin: 0'>In this lesson, you will learn about an unsupervised branch of learning called clustering, which involves grouping elements with no labels to classify them.</p></td></tr><tr><td style='padding: 15px;'><p>13. Recap, Flow of Machine Learning Project</p><p style='margin: 0'>This video is a quick recap of what we have learned thus far, and we will also be working on a project called the Flow of Machine Learning.</p></td></tr></tbody></table><br><h4>4. Random Forest Step-by-Step</h4><p>This section focuses on the Random Forest concepts that deal with reading and manipulating datasets; you will learn about the pros and cons of Random Forest and use pandas for the Random Forest.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction and Motivation</p><p style='margin: 0'>This video outlines the concepts of Random Forest when we can use the Random Forest, and its benefits and features.</p></td></tr><tr><td style='padding: 15px;'><p>2. How Decision Trees and Random Forest Work</p><p style='margin: 0'>We will understand what a decision tree is and create a decision tree and get a prediction result from the decision tree.</p></td></tr><tr><td style='padding: 15px;'><p>3. Pros and Cons of Random Forest</p><p style='margin: 0'>In this video, we will look at the benefits and limitations of Random Forest and the complexities involved in decision-making using Random Forest.</p></td></tr><tr><td style='padding: 15px;'><p>4. Introduction to the Final Project</p><p style='margin: 0'>In this video, we will discuss our final project, which classifies the titanic dataset using Random Forest.</p></td></tr><tr><td style='padding: 15px;'><p>5. Using NumPy for Random Forest</p><p style='margin: 0'>In this lesson, you will learn about the NumPy tool available in the Python library and look at the advantages of using NumPy.</p></td></tr><tr><td style='padding: 15px;'><p>6. Using Pandas for Random Forest (1)</p><p style='margin: 0'>This video introduces us to Pandas data structures and analysis tools, which help make data easy to handle and intuitive.</p></td></tr><tr><td style='padding: 15px;'><p>7. Using Pandas for Random Forest (2)</p><p style='margin: 0'>This is a continuation of the previous lesson, and here we will look at conditionally selecting values from a dataset.</p></td></tr><tr><td style='padding: 15px;'><p>8. Reading and Manipulating Dataset</p><p style='margin: 0'>Previously, you learned how to read a dataset; now, we will look at manipulating the data and using a sample dataset in our code.</p></td></tr><tr><td style='padding: 15px;'><p>9. Using Matplotlib for Data Visualization (1)</p><p style='margin: 0'>This video demonstrates data visualization using the Matplotlib function and explains data cleaning by removing outliers and filling in missing values.</p></td></tr><tr><td style='padding: 15px;'><p>10. Using Matplotlib for Data Visualization (2)</p><p style='margin: 0'>In this continuation lecture, we will focus on completing the assignment that we started on in the last lesson.</p></td></tr><tr><td style='padding: 15px;'><p>11. Dealing with Missing Values</p><p style='margin: 0'>Let's look at the first step involved in the data cleaning process, which is filling or removing missing values from a dataset.</p></td></tr><tr><td style='padding: 15px;'><p>12. Outliers Removal</p><p style='margin: 0'>In the second part of the data cleaning process, we will look at an outlier in detail and learn how to correct or remove the outlier.</p></td></tr><tr><td style='padding: 15px;'><p>13. Categorical to Numeric Conversion</p><p style='margin: 0'>In a machine, it understands values in the form of numbers. You will learn how to convert non-numeric data to numeric without changing the feature of the value.</p></td></tr><tr><td style='padding: 15px;'><p>14. Quick Implementation of Random Forest Model</p><p style='margin: 0'>Let's quickly implement Random Forest using the sklearn Random Forest model to tune the model's performance according to the project.</p></td></tr><tr><td style='padding: 15px;'><p>15. Feature Importance</p><p style='margin: 0'>After understanding features in a previous lesson, we will look at finding the most critical features' probability.</p></td></tr><tr><td style='padding: 15px;'><p>16. Recursion</p><p style='margin: 0'>In this video, you will learn about a complete implementation of the Random Forest using only Pandas to read the data and look at the results of the sklearn function.</p></td></tr><tr><td style='padding: 15px;'><p>17. Structure</p><p style='margin: 0'>In this video, we will discuss the structures of a Random Forest, namely forest, tree, leaf node, and decision node.</p></td></tr><tr><td style='padding: 15px;'><p>18. Importing Data, Helper Functions</p><p style='margin: 0'>Before creating a decision tree, we will first learn to import our dataset using Pandas.</p></td></tr><tr><td style='padding: 15px;'><p>19. Question and Partition</p><p style='margin: 0'>In this video, you will learn to create two more helper functions, question, and partition, which define statements for querying and retrieving data.</p></td></tr><tr><td style='padding: 15px;'><p>20. Impurity</p><p style='margin: 0'>Like all dataset characteristics, we will look at the impurities in a dataset and how they should be minimum in a good dataset.</p></td></tr><tr><td style='padding: 15px;'><p>21. Information Gain</p><p style='margin: 0'>In this video, we will define columns for questioning and determine how much information can be gained by splitting a column.</p></td></tr><tr><td style='padding: 15px;'><p>22. Best Slip</p><p style='margin: 0'>Here, we will determine the best split at any decision node where information is maximum and split into two branches, true and false.</p></td></tr><tr><td style='padding: 15px;'><p>23. Leaf and Decision Node</p><p style='margin: 0'>In this lesson, you will learn to create two classes, a leaf node and a decision node, with a constructor.</p></td></tr><tr><td style='padding: 15px;'><p>24. How to Build a Tree</p><p style='margin: 0'>After creating the decision node and leaf node classes, we will build our tree to add the nodes.</p></td></tr><tr><td style='padding: 15px;'><p>25. How to Classify</p><p style='margin: 0'>Let's learn to write a classification method that will train our module and help us get predictions.</p></td></tr><tr><td style='padding: 15px;'><p>26. Accuracy and Error</p><p style='margin: 0'>In this video, you will learn to implement the accuracy method to help determine our model's performance.</p></td></tr></tbody></table><br><h4>5. Conclusion</h4><p>This section focuses on all the concepts learned so far and summarizes them succinctly.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Concluding remarks</p><p style='margin: 0'>In this video, we will look at the concluding remarks of the course and recap what we learned through the course, briefly.</p></td></tr></tbody></table>

A step-by-step guide that walks you through the fundamentals of Python programming followed using Python libraries to create random forest from scratch. A comprehensive course designed for both beginners with some programming experience or even those who know nothing about ML and random forest!

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			<h2>Overview
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					<p>This comprehensive course on <strong>Forest Schooling </strong>will deepen your understanding on this topic.</p><p>After successful completion of this course you can acquire the required skills in this sector. This <strong>Forest Schooling </strong> comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market.   </p><p>So enroll in this course today to fast-track your career ladder</p>					</div>
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					<p>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.</p>					</div>
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					<p>There is no experience or previous qualifications required for enrolment on this <strong>Forest Schooling</strong>. It is available to all students, of all academic backgrounds</p>					</div>
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					<p>Our <strong>Forest Schooling</strong> 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 smart phones so you can access your course on Wi-Fi, 3G or 4G.</p><p>There is no time limit for completing this course, it can be studied in your own time at your own pace</p>					</div>
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					<p>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 skillet will help you to-</p><ul><li>Open doors of opportunities</li><li>Increase your adaptability</li><li>Keep you relevant</li><li>Boost confidence</li></ul><p>And much more!</p>					</div>
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					</div> <h3>Course Curriculum</h3><div><p>10 sections • 10 lectures • 01:30:00 total length</p></div><div><div><div><div><div><div><div><p>•Forest Schooling: 00:06:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Benefits of Forest Schooling: 00:10:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Forest School Programme: 00:14:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Learning Activities in Forest School: 00:10:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Playing Activities in Forest School: 00:10:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Survival Activities in Forest School: 00:12:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Child Development: 00:12:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Eco-Friendly Forest Schooling: 00:08:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Safety and Risk Management: 00:08:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Assignment - Forest Schooling: 00:00:00</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

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<p>Tired of browsing and searching for a <strong>Forest Schooling Training </strong> course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and review this extensive bundle with everything you need to succeed.</p><p>After surveying thousands of learners just like you and considering their valuable feedback, this all-in<strong>-</strong>one Forest Schooling Training bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Forest Schooling Training course that will enhance your skills and prepare you for the competitive job market.</p><p>Also, our experts are available to answer your queries on Forest Schooling Training and help you along your learning journey. Advanced audio-visual learning modules of these Forest Schooling Training courses are broken down into little chunks so that you can learn at your own pace without being overwhelmed by too much material at once.</p><p>Furthermore, to help you showcase your expertise in Forest Schooling Training, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest.</p><p><strong>This Forest Schooling Training Bundle Consists of the following Premium courses: </strong></p><ul><li><strong> Course 01:</strong> Forest Schooling</li><li><strong> Course 02:</strong> Youth Work Certificate Complete Diploma</li><li><strong> Course 03:</strong> Personal Development Masterclass</li><li><strong> Course 04:</strong> Neuropsychology and Development of Children</li><li><strong> Course 05:</strong> Child Playwork</li><li><strong> Course 06: </strong>Gardening and Horticulture</li><li><strong> Course 07: </strong>Botany</li><li><strong> Course 08:</strong> Electrical and Fire Safety Training - Level 2</li><li><strong> Course 09: </strong>Risk Management</li><li><strong> Course 10:</strong> Safeguarding Children Level 3</li><li><strong> Course 11:</strong> Creative Thinking for Everyday Life</li><li><strong> Course 12:</strong> Learning Disability Awareness</li><li><strong> Course 13: </strong>Child Neglect Awareness Certificate Course</li><li><strong> Course 14: </strong>Paediatric First Aid Level 3</li></ul><p>Enrol now in Forest Schooling Training to advance your career, and use the premium study materials from Apex Learning.</p><p>The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Forest Schooling Training expertise and essential knowledge, which will assist you in reaching your goal.</p><p><strong>Course Curriculum: </strong></p><p><strong>Forest Schooling<br /></strong></p><ul><li>Module 01: Forest Schooling</li><li>Module 02: Benefits of Forest Schooling</li><li>Module 03: Forest School Programme</li><li>Module 04: Learning Activities in Forest School</li><li>Module 05: Playing Activities in Forest School</li><li>Module 06: Survival Activities in Forest School</li><li>Module 07: Child Development</li><li>Module 08: Eco-Friendly Forest Schooling</li><li>Module 09: Safety and Risk Management</li></ul><p>And 13 more Courses ...</p><h2>
        
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                                        140 CPD hours / points
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                            <p>Anyone from any background can enrol in this Forest Schooling Training bundle.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>Our Forest Schooling Training course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Having this Forest Schooling Training expertise will increase the value of your CV and open you up to multiple job sectors.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div> <p>You will get the PDF Certificate for the title course <strong>(Forest Schooling)</strong> absolutely Free!</p><p>Other PDF Certificates are available for £6 each.</p> </div>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>You will get the Hard Copy certificate for the title course <strong>(Forest Schooling)</strong> absolutely Free! Other Hard Copy certificates are available for £10 each. </p><p><strong>Please Note:</strong> The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.</p> </div>

                        </div>

Forest Schooling Training

<p>Give a compliment to your career and take it to the next level. This<strong> Forest Schooling Course </strong>bundle will provide you with the essential knowledge to shine in your professional career. Whether you want to develop skills for your next job or elevate your skills for your next promotion, this Forest Schooling Course bundle will help you stay ahead of the pack.</p><p>Throughout the Forest Schooling Course programme, it stresses how to improve your competency as a person in your chosen field while also outlining essential career insights in the relevant job sector.</p><p>Along with this Forest Schooling Course, you will get <strong>10 premium courses, an original hardcopy</strong>, <strong>11 PDF certificates (Main Course + Additional Courses) </strong>Student ID card as gifts.</p><p><strong>This Forest Schooling Course Bundle Consists of the following Premium courses: </strong></p><ul><li><strong> Course 01:</strong> Forest Schooling</li><li><strong> Course 02:</strong> Youth Work Certificate Complete Diploma</li><li><strong> Course 03:</strong> Personal Development Masterclass</li><li><strong> Course 04:</strong> Neuropsychology and Development of Children</li><li><strong> Course 05:</strong> Child Playwork</li><li><strong> Course 06:</strong> Gardening and Horticulture</li><li><strong> Course 07:</strong> Botany</li><li><strong> Course 08: </strong>Electrical and Fire Safety Training - Level 2</li><li><strong> Course 09:</strong> Learning Disability Awareness</li><li><strong> Course 10:</strong> Child Neglect Awareness Certificate Course</li><li><strong> Course 11:</strong> Paediatric First Aid Level 3</li></ul><p>Enrol now in Forest Schooling Course to advance your career, and use the premium study materials from Apex Learning.</p><p>The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Forest Schooling Course expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes.<br /><br /><strong>Course Curriculum: </strong></p><p><strong>Forest Schooling</strong></p><ul><li>Module 01: Forest Schooling</li><li>Module 02: Benefits of Forest Schooling</li><li>Module 03: Forest School Programme</li><li>Module 04: Learning Activities in Forest School</li><li>Module 05: Playing Activities in Forest School</li><li>Module 06: Survival Activities in Forest School</li><li>Module 07: Child Development</li><li>Module 08: Eco-Friendly Forest Schooling</li><li>Module 09: Safety and Risk Management</li></ul><p>And 10 more courses ...</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        110 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>Anyone from any background can enrol in this Forest Schooling Course bundle.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This Forest Schooling Course has been designed to be fully compatible with tablets and smartphones.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Having this expertise will increase the value of your CV and open you up to multiple job sectors.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div> <p>Cost of PDF Certificates is included in course price</p> </div>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>You will get the Hard Copy certificate for the title course (Forest Schooling) absolutely Free! Other Hard Copy certificates are available for £10 each. </p><p><strong>Please Note:</strong> The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.</p> </div>

                        </div>

Forest Schooling Course

<section>
						<div>
					<div>
			<div>
								<div>
				<div>
			<h2><b>Overview</b></h2>		</div>
				</div>
				<div>
				<div>
							<p><span>By enroling in Forest Schooling, you can kickstart your vibrant career and strengthen your profound knowledge. You can learn everything you need to know about the topic.</span></p><p><span>The Forest Schooling course includes all of the most recent information to keep you abreast of the employment market and prepare you for your future. The curriculum for this excellent Forest Schooling course includes modules at all skill levels, from beginner to expert. You will have the productivity necessary to succeed in your organisation once you have completed our Forest Schooling Program.</span></p><p><span>So enrol in our Forest Schooling course right away if you're keen to envision yourself in a rewarding career.</span></p>						</div>
				</div>
					</div>
		</div>
							</div>
		</section>
				<section>
						<div>
					<div>
			<div>
								<div>
				<div>
			<h2><b>Description</b>
</h2>		</div>
				</div>
				<div>
				<div>
							<p><span>Enroling in this Forest Schooling course can improve your Forest Schooling perspective, regardless of your skill levels in the Forest Schooling topics you want to master. If you're already a Forest Schooling expert, this peek under the hood will provide you with suggestions for accelerating your learning, including advanced Forest Schooling insights that will help you make the most of your time. This Forest Schooling course will act as a guide for you if you've ever wished to excel at Forest Schooling.</span></p>						</div>
				</div>
					</div>
		</div>
							</div>
		</section>
				<section>
						<div>
					<div>
			<div>
								<div>
				<div>
			<h2><b>Why Choose Us?</b></h2>		</div>
				</div>
				<div>
				<div>
							<ul><li><span>After successfully completing the Forest Schooling Course, you will receive a </span><b>FREE PDF Certificate </b><span>as evidence of your newly acquired abilities.</span></li><li><span>Lifetime access to the whole collection of Forest Schooling learning materials.</span></li><li><span>Online test with immediate results</span></li><li><span>Enroling in the course has no additional cost.</span></li><li><span>You can study and complete the Forest Schooling course at your own pace.</span></li><li><span>Study for the Forest Schooling course using any internet-connected device, such as a computer, tablet, or mobile device.</span></li></ul>						</div>
				</div>
					</div>
		</div>
							</div>
		</section>
				<section>
						<div>
					<div>
			<div>
								<div>
				<div>
			<h2><b>Who Is This Course For?</b></h2>		</div>
				</div>
				<div>
				<div>
							<p><span>This Forest Schooling course is a great place to start if you're looking to start a new career in Forest Schooling field. This training is for anyone interested in gaining in-demand Forest Schooling proficiency to help launch a career or their business aptitude. </span></p>						</div>
				</div>
					</div>
		</div>
							</div>
		</section>
				<section>
						<div>
					<div>
			<div>
								<div>
				<div>
			<h2><b>Requirements</b></h2>		</div>
				</div>
				<div>
				<div>
							<p><span>The Forest Schooling course requires no prior degree or experience. All you require is English proficiency, numeracy literacy and a gadget with stable internet connection. Learn and train for a prosperous career in the thriving and fast-growing industry of Forest Schooling, without any fuss.</span></p>						</div>
				</div>
					</div>
		</div>
							</div>
		</section>
				<section>
						<div>
					<div>
			<div>
								<div>
				<div>
			<h2><b>Career Path</b></h2>		</div>
				</div>
				<div>
				<div>
							<p><span>This Forest Schooling training will assist you develop your Forest Schooling ability, establish a personal brand, and present a portfolio of relevant talents. It will help you articulate a  Forest Schooling professional story and personalise your path to a new career. Furthermore, developing this Forest Schooling skillset can lead to numerous opportunities for high-paying jobs in a variety of fields.</span></p>						</div>
				</div>
					</div>
		</div>
							</div>
		</section> <div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table>				<tbody><tr>
					<td colspan="4">Module 01: Forest Schooling</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Forest Schooling</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 02: Benefits of Forest Schooling</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Benefits of Forest Schooling</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 03: Forest School Programme</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Forest School Programme</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 04: Learning Activities in Forest School</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Learning Activities in Forest School</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 05: Playing Activities in Forest School</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Playing Activities in Forest School</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 06: Survival Activities in Forest School</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Survival Activities in Forest School</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 07: Child Development</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Child Development</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 08: Eco-Friendly Forest Schooling</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Eco-Friendly Forest Schooling</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 09: Safety and Risk Management</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Safety and Risk Management</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

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