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The course covers investigation and risk assessment of asbestos-contaminated soils and sites, including waste classification and land remediation. It will cover the current HSE and EA legislation and guidance, assessing risk to health from asbestos in soils and how to assess the land, analysis types and interpretation, and remedial actions.
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Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently
Early Years Teaching and Child Care Online Are you interested and excited to become a school teacher in the UK? If yes, you need to have certain recognised qualifications, i.e., Qualified Teacher Status (QTS), by following an Initial Teacher Training programme (ITT). To gain the required qualification above, you need to become competent and skilled enough! With our Early Years Teaching and Child Care bundle, you will acquire the necessary knowledge and skills and eventually become a qualified teacher. This is a bundle of 11 courses. We have sincerely combined these 11 courses with a comprehensive curriculum made by the expert teachers to make this Teaching and Child Care highly valuable for you. Depending on your need, you will get dedicated tutor support throughout this course. Our tutors are always happy to assist our learners. So, you need to ask for assistance only! With this Teaching and Child Care, you will get 11 courses! It means you will get 11 different certificates of achievement once you complete all the courses successfully. Imagine how your CV will be enriched. And the PDF certificates are completely free. With this bundle course, you will increase your employability skill enormously and stand out from the crowd. So, why do you hesitate? Just enrol on this Teaching and Child Care, and the rest is on us to make your learning journey a pleasant one. This bundle course is fully online and self-paced, so you don't need to worry about timing. You can set your own schedule to continue the courses. Let's see what are those 11 courses included in this Early Years Teaching and Child Care - Course 01: Level 2 Award in Support Work in Schools and Colleges Course 02: Level 2 Diploma for the Early Years Practitioner Course 03: Level 3 Award in Childcare and Education Course 04: Diploma in Special Education Needs (SEN) Course 05: EYFS Teaching Diploma Course 06: Primary Teaching Diploma Course 07: Teaching Assistant Course 08: Early Years Level 4 Course 09: Dyslexia Course 10: Autism Diploma Course 11: ADHD Awareness Course [ Note: Free PDF certificate as soon as completing the Teaching and Child Care course ] Early Years Teaching and Child Care Assessment Method After completing each module of Early Years Bundle Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Certification After completing the MCQ/Assignment assessment for this course, you will be entitled to a Certificate of Completion from Training Tale. It will act as proof of your extensive professional development. Who is this course for? Early Years Teaching and Child Care There is no specific requirement to enrol for this Course. However, you need to be over 16. Besides, to gain the best out of this Teaching and Child Care, you must have a strong passion for becoming a teacher. Requirements Early Years Teaching and Child Care There is no specific requirement to enrol for this Course. However, you need to be over 16. Besides, to gain the best out of this Teaching and Child Care, you must have a strong passion for becoming a teacher. Career path Early Years Teaching and Child Care you can become skilled in different teaching professions with this Teaching and Child Care. Such as -Primary Teacher, Primary Teaching Assistant, Teaching Assistant, EYFS Teacher, Nursery Nurse, SEN Teacher. Certificates Certificate of completion Digital certificate - Included
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The main subject areas of the course are: Good practice in asbestos removal or remediation Asbestos Removal Control Plans Air sampling for asbestos Enclosures, clearance air monitoring and reporting
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The course is suitable for those employees who may need more information regarding fire safety due to the nature of their roles. It is also a requirement under the Regulatory Reform (Fire Safety) Order 2005 that all key employees should receive training in what to do in the event of fire.