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Delve into the world of data analysis with 'R Programming for Data Science,' a course designed to guide learners through the intricacies of R, a premier programming language in the data science domain. The course opens with a broad perspective on data science, illuminating the pivotal role of R in this field. Learners are then introduced to R and RStudio, equipping them with the foundational tools and interfaces essential for R programming. The curriculum progresses with an introduction to the basics of R, ensuring learners grasp the core principles that underpin more complex operations. A highlight of this course is its in-depth exploration of R's versatile data structures, including vectors, matrices, factors, and data frames. Each unit is crafted to provide learners with a comprehensive understanding of these structures, pivotal for effective data handling and manipulation. The course also emphasizes the importance of relational and logical operators in R, key elements for executing data operations. As the course advances, learners will engage with the nuances of conditional statements and loops, essential for writing efficient and dynamic R scripts. Moving into more advanced territories, the course delves into the creation and usage of functions, an integral part of R programming, and the exploration of various R packages that extend the language's capabilities. Learners will also gain expertise in the 'apply' family of functions, crucial for streamlined data processing. Further units cover regular expressions and effective strategies for managing dates and times in data sets. The course concludes with practical applications in data acquisition, cleaning, visualization, and manipulation, ensuring learners are well-prepared to tackle real-world data science challenges using R. Learning Outcomes Develop a foundational understanding of R's role in data science and proficiency in RStudio. Gain fluency in R programming basics, enabling the handling of complex data tasks. Acquire skills in managing various R data structures for efficient data analysis. Master relational and logical operations for advanced data manipulation in R. Learn to create functions and utilize R packages for expanded analytical capabilities. Why choose this R Programming for Data Science course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this R Programming for Data Science course for? Beginners in data science eager to learn R programming. Data analysts and scientists looking to enhance their skills in R. Researchers in various fields requiring advanced data analysis tools. Statisticians seeking to adopt R for more sophisticated data manipulations. Professionals in finance, healthcare, and other sectors needing data-driven insights. Career path Data Scientist (R Expertise): £30,000 - £70,000 Data Analyst (R Programming Skills): £27,000 - £55,000 Bioinformatics Scientist (R Proficiency): £35,000 - £60,000 Quantitative Analyst (R Knowledge): £40,000 - £80,000 Research Analyst (R Usage): £25,000 - £50,000 Business Intelligence Developer (R Familiarity): £32,000 - £65,000 Prerequisites This R Programming for Data Science does not require you to have any prior qualifications or experience. You can just enrol and start learning.This R Programming for Data Science was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Unit 01: Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science? 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's next? 00:02:00 Unit 02: R and RStudio Engine and coding environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A quick tour 00:04:00 Unit 03: Introduction to Basics Arithmetic with R 00:03:00 Variable assignment 00:04:00 Basic data types in R 00:03:00 Unit 04: Vectors Creating a vector 00:05:00 Naming a vector 00:04:00 Arithmetic calculations on vectors 00:07:00 Vector selection 00:06:00 Selection by comparison 00:04:00 Unit 05: Matrices What's a Matrix? 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding columns and rows to a matrix 00:06:00 Selection of matrix elements 00:03:00 Arithmetic with matrices 00:07:00 Additional Materials 00:00:00 Unit 06: Factors What's a Factor? 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Unit 07: Data Frames What's a Data Frame? 00:03:00 Creating Data Frames 00:20:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Additional Materials 00:00:00 Unit 08: Lists Why would you need lists? 00:01:00 Creating a List 00:06:00 Selecting elements from a list 00:03:00 Adding more data to the list 00:02:00 Additional Materials 00:00:00 Unit 09: Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Additional Materials 00:00:00 Unit 10: Logical Operators AND, OR, NOT Operators 00:04:00 Logical operators with vectors and matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators together 00:06:00 Additional Materials 00:00:00 Unit 11: Conditional Statements The IF statement 00:04:00 IFELSE 00:03:00 The ELSEIF statement 00:05:00 Full Exercise 00:03:00 Additional Materials 00:00:00 Unit 12: Loops Write a While loop 00:04:00 Looping with more conditions 00:04:00 Break: stop the While Loop 00:04:00 What's a For loop? 00:02:00 Loop over a vector 00:02:00 Loop over a list 00:03:00 Loop over a matrix 00:04:00 For loop with conditionals 00:01:00 Using Next and Break with For loop 00:03:00 Additional Materials 00:00:00 Unit 13: Functions What is a Function? 00:02:00 Arguments matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing own functions 00:03:00 Functions with no arguments 00:02:00 Defining default arguments in functions 00:04:00 Function scoping 00:02:00 Control flow in functions 00:03:00 Additional Materials 00:00:00 Unit 14: R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different ways to load a package 00:02:00 Additional Materials 00:00:00 Unit 15: The Apply Family - lapply What is lapply and when is used? 00:04:00 Use lapply with user-defined functions 00:03:00 lapply and anonymous functions 00:01:00 Use lapply with additional arguments 00:04:00 Additional Materials 00:00:00 Unit 16: The apply Family - sapply & vapply What is sapply? 00:02:00 How to use sapply 00:02:00 sapply with your own function 00:02:00 sapply with a function returning a vector 00:02:00 When can't sapply simplify? 00:02:00 What is vapply and why is it used? 00:04:00 Additional Materials 00:00:00 Unit 17: Useful Functions Mathematical functions 00:05:00 Data Utilities 00:08:00 Additional Materials 00:00:00 Unit 18: Regular Expressions grepl & grep 00:04:00 Metacharacters 00:05:00 sub & gsub 00:02:00 More metacharacters 00:04:00 Additional Materials 00:00:00 Unit 19: Dates and Times Today and Now 00:02:00 Create and format dates 00:06:00 Create and format times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Additional Materials 00:00:00 Unit 20: Getting and Cleaning Data Get and set current directory 00:04:00 Get data from the web 00:04:00 Loading flat files 00:03:00 Loading Excel files 00:05:00 Additional Materials 00:00:00 Unit 21: Plotting Data in R Base plotting system 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Unit 22: Data Manipulation with dplyr Introduction to dplyr package 00:04:00 Using the pipe operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns component: mutate() 00:02:00 Columns component: relocate() 00:02:00 Rows component: filter() 00:01:00 Rows component: slice() 00:04:00 Rows component: arrange() 00:01:00 Rows component: rowwise() 00:02:00 Grouping of rows: summarise() 00:03:00 Grouping of rows: across() 00:02:00 COVID-19 Analysis Task 00:08:00 Additional Materials 00:00:00 Assignment Assignment - R Programming for Data Science 00:00:00

"The harmful emissions of CO2 are warming the planet because of the Greenhouse effect..". So, Just like everyone, you've heard these things before, numerous times, Right? Ever wondered how on earth the Carbon emissions result in this catastrophe? Yes! You're in the right place to quench your thirst for Chemistry and Chemical Engineering knowledge, upgrade your career to the next level, and achieve your dream career in the chemical industry. As we live in the era of the third Industrial revolution, specialised skills and expertise in science and engineering are of utmost importance. Chemists and Chemical Engineers are at the forefront of it. So, enrol now and sharpen your skills as a chemical engineer. Along with this Chemical Engineering course, you will get 11 premium courses, an originalHardcopy, 11 PDF Certificates (Main Course + Additional Courses) Student ID card as gifts. This Chemical Engineering Bundle Consists of the following Premium courses: Courses are included in this Chemical Engineering Bundle? Course 01: Basic Chemistry Online Course Course 02: Organic Chemistry Course 03: Organic Chemistry Demystified Course 04: General Inorganic Chemistry Course 05: Petroleum Refining Demystified Course 06: Diploma in Water Chemistry Course 07: Diploma in Water Treatment Course 08: Carbon Literacy Knowledge | Course Course 09: Understand Piping & Instrumentation Diagrams P&IDs Course 10: Gas Safety Course 11: Electrical and Fire Safety Training - Level 2 Learning Outcomes Upon successful completion of the Chemical Engineering course, you will be able to, Gain a basic knowledge of organic and inorganic chemistry. Learn about the petroleum refining process. Understand Water Chemistry and Water Treatment. Improve your Carbon Literacy Knowledge. Develop an in-depth understanding of Piping & Instrumentation Diagrams. Increase your workplace safety awareness. Enrol now in Chemical Engineering to advance your career, and use the premium study materials from Apex Learning. The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Chemical Engineeringexpertise and essential knowledge, which will assist you in reaching your goal. Certificate: PDF Certificate: Free (Previously it was £6*11 = £66) Hard Copy Certificate: Free (For The Title Course: Previously it was £10) CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Chemical Engineering bundle. Requirements This Chemical Engineering course has been designed to be fully compatible with tablets and smartphones. Career path This Chemical Engineering course is designed to provide value for the following career paths Chemical Project Engineer Chemical Process Engineer Polymer Chemist Engineer Chemist Research Chemist Forensic Scientist Chemical Engineer Certificates Certificate of completion Digital certificate - Included

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Discover the thrilling world of artificial intelligence with the 'Machine Learning Course with Python'. Immerse yourself in a voyage from foundational concepts, unveiling the mysteries behind algorithms, to diving deep into the cores of preprocessing, regression, and classification. Crafted meticulously, this course introduces Python as the catalyst, opening doors to data-driven decision-making and predictive analysis, empowering your journey in the ever-evolving field of machine learning. Learning Outcomes Grasp the foundational knowledge of various machine learning algorithms. Attain proficiency in preprocessing data for optimal outcomes. Master the nuances of regression analysis using Python. Delve into the intricacies of classification techniques. Enhance problem-solving abilities with practical Python-driven machine learning applications. Why choose this Machine Learning Course with Python course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Machine Learning Course with Python Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Machine Learning Course with Python course for? Aspiring data scientists eager to harness the power of machine learning. Python enthusiasts aiming to delve into its applications in AI. Professionals in the tech industry seeking a transition into data roles. Academics and researchers wanting to employ machine learning in their work. Business analysts aiming to leverage predictive analytics for better insights. Career path Data Scientist: £40,000 - £70,000 Machine Learning Engineer: £50,000 - £80,000 AI Researcher: £45,000 - £75,000 Data Analyst: £30,000 - £50,000 Python Developer: £35,000 - £65,000 Business Intelligence Developer: £40,000 - £60,000 Prerequisites This Machine Learning Course with Python does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Course with Python was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 01: Introduction to Machine Learning Algorithms Introduction to types of ML algorithm 00:02:00 Module 02: Preprocessing Importing a dataset in python 00:02:00 Resolving Missing Values 00:06:00 Managing Category Variables 00:04:00 Training and Testing Datasets 00:07:00 Normalizing Variables 00:02:00 Normalizing Variables - Python Code 00:03:00 Summary 00:01:00 Module 03: Regression Simple Linear Regression - How it works? 00:04:00 Simple Linear Regreesion - Python Implementation 00:07:00 Multiple Linear Regression - How it works? 00:01:00 Multiple Linear Regression - Python Implementation 00:09:00 Decision Trees - How it works? 00:05:00 Random Forest - How it works? 00:03:00 Decision Trees and Random Forest - Python Implementation 00:04:00 Module 04: Classification kNN - How it works? 00:02:00 kNN - Python Implementation 00:10:00 Decision Tree Classifier and Random Forest Classifier in Python 00:10:00 SVM - How it works? 00:04:00 SVM - Python Implementation 00:06:00 Assignment Assignment - Machine Learning Course with Python 00:00:00

Discover the captivating world of Botany & Reproduction in Flowering Plants with our exclusive bundle of eight comprehensive courses. Unleash your botanical curiosity and delve into the fascinating realms of plant reproduction, botany, and the basics of reproduction. With three QLS-endorsed courses, you'll receive hardcopy certificates upon completion, showcasing your expertise in this field. Additionally, we offer five CPD QS-accredited courses, providing you with a well-rounded understanding of Agricultural Science, Horticulture, Arboriculture, Mushroom Growing, and Land Management. Uncover the secrets of plant reproduction and explore the intricate processes that give rise to the dazzling array of flowering plants. Gain an in-depth understanding of botany, dissecting the wonders of plant anatomy, physiology, and taxonomy. Expand your horizons further with courses in Agricultural Science, Horticulture, Arboriculture, Mushroom Growing, and Land Management, allowing you to nurture your passion for plants while acquiring valuable knowledge. Whether you're a Forest Schooling enthusiast, a dedicated School Administrator, or a curious mind drawn to the complexities of Educational Psychology, this bundle is tailor-made for you. Expand your expertise, develop a deeper understanding of the botanical world, or enhance your professional qualifications. This bundle caters to the needs of educators, professionals in plant-related industries, nature enthusiasts, and anyone seeking to unlock the wonders of Botany & Reproduction in Flowering Plants. Key Features of the Botany & Reproduction in Flowering Plants Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Botany & Reproduction in Flowering Plants bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Reproduction in Flowering Plants QLS Course 02: Botany QLS Course 03: The Basics of Reproduction 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Agricultural Science Course 02: Horticulture Course 03: Arboriculture Course 04: Mushroom Growing Course Course 05: Land Management In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Botany & Reproduction in Flowering Plants courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes: Acquire a comprehensive understanding of the reproductive processes in flowering plants. Develop an in-depth knowledge of botanical principles, including anatomy, physiology, and taxonomy. Explore the applications of Agricultural Science and its relevance in modern plant-related industries. Gain practical insights into Horticulture and learn about effective plant cultivation techniques. Understand the principles of Arboriculture and develop the skills to manage trees effectively. Discover the intricacies of Mushroom Growing and learn the techniques for successful cultivation. Explore the fundamentals of Land Management and its role in preserving natural ecosystems. Immerse yourself in the enchanting world of Botany & Reproduction in Flowering Plants with our comprehensive bundle. Uncover the mysteries of plant reproduction, deepen your knowledge of botany, and explore a wide range of plant-related subjects. This bundle offers a collection of three QLS-endorsed courses, which provide hardcopy certificates upon completion, along with five CPD QS-accredited courses. Dive into the theoretical aspects of plant sciences and expand your understanding without relying on online tutorials, quizzes, or video lectures. CPD 270 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Educators seeking to enhance their knowledge of Botany & Reproduction in Flowering Plants. Professionals in plant-related industries aiming to broaden their expertise. Nature enthusiasts and individuals with a passion for the botanical world. School administrators interested in gaining insights into plant sciences. Career path Ecologist - Salary Range: £25,000 to £45,000 per year Plant Scientist - Salary Range: £30,000 to £55,000 per year Horticulturist - Salary Range: £20,000 to £30,000 per year Arborist - Salary Range: £25,000 to £35,000 per year Mushroom Cultivator - Salary Range: £20,000 to £30,000 per year Land Manager - Salary Range: £30,000 to £60,000 per year Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

***24 Hour Limited Time Flash Sale*** Criminology, Crime Analysis & Criminal Psychology Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Unravel the mysterious world of crime and its intricacies with our "Criminology, Crime Analysis & Criminal Psychology" course bundle. Enrich your understanding with three Quality Licence Scheme (QLS) endorsed courses on Criminology and Police Investigations, Crime Analysis, and Criminal Psychology and Profiling, all of which come with hardcopy certificates for proof of your new theoretical knowledge. Moreover, dive deeper into the theoretical realm of crime studies with five CPD Quality Service (QS) accredited courses that complement your understanding. With Forensic Science Level 3, Criminal Law, Accident Investigation, Security Management Diploma, and Crime Scene Investigator courses, gain a panoramic view of criminology, crime analysis, and criminal psychology. Our bundle is curated to offer comprehensive knowledge about various aspects of crime and justice. Propel your understanding beyond the surface, delve into the psyche of criminals, comprehend crime scenes, and interpret law and order. Embrace the opportunity to decode the complex world of crime with our "Criminology, Crime Analysis & Criminal Psychology" course bundle. Key Features of the Criminology, Crime Analysis & Criminal Psychology Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Criminology, Crime Analysis & Criminal Psychology bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Criminology and Police Investigations QLS Course 02: Crime Analysis Online Course QLS Course 03: Criminal Psychology and Profiling 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Forensic Science Level 3 CourseCourse 02: Criminal LawCourse 03: Accident investigationCourse 04: Security Management DiplomaCourse 05: Crime Scene Investigator In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV WritingCourse 02: Job Search SkillsCourse 03: Self Esteem & Confidence BuildingCourse 04: Professional Diploma in Stress ManagementCourse 05: Complete Communication Skills Master Class Convenient Online Learning: Our Criminology, Crime Analysis & Criminal Psychology courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes: Gain a comprehensive understanding of criminology and police investigations. Learn the theory and application of crime analysis. Comprehend the theories of criminal psychology and profiling. Understand the theoretical aspects of forensic science. Develop a deep understanding of criminal law and security management. Learn the theory behind accident investigation and crime scene investigation. Expand career opportunities in the field of criminology, crime analysis, and criminal psychology. The "Criminology, Crime Analysis & Criminal Psychology" bundle is an amalgamation of eight courses designed to provide an in-depth theoretical understanding of the complex world of crime. It touches upon every facet, from the basics of criminology, criminal psychology, and profiling to the application of forensic science and criminal law. The course bundle doesn't just stop at understanding crime but extends into its analysis and the legal systems around it. It broadens your knowledge horizon to include security management, accident investigation, and crime scene investigation. The comprehensive coverage of these topics offers a panoramic view of crime and justice, highlighting the intertwined nature of these domains and their importance in maintaining law and order. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals intrigued by criminology, crime analysis, and criminal psychology. Aspiring professionals seeking a comprehensive theoretical foundation in crime studies. Law enforcement enthusiasts interested in understanding crime from various angles. Anyone interested in exploring career opportunities in criminology and criminal psychology. Career path Criminologist - Average salary in the UK: £30,000 - £35,000 per annum Crime Analyst - Average salary in the UK: £27,000 - £32,000 per annum Criminal Psychologist - Average salary in the UK: £35,000 - £40,000 per annum Forensic Scientist - Average salary in the UK: £25,000 - £30,000 per annum Security Manager - Average salary in the UK: £45,000 - £50,000 per annum Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

Envelop yourself in the rich and intricate world of plants with our dynamic course bundle: "Reproduction in Flowering Plants, Basics of Reproduction & Botany." Illuminate the extraordinary mechanisms by which life propagates itself, from the delicate flowering organisms to the fundamental principles of reproduction. This transformative learning journey is a symphony of knowledge and understanding, intertwining the natural sciences in a way that resonates with the rhythmic pulse of the natural world. What distinguishes our course from others is the QLS endorsement that accompanies two of our courses, providing you with a tangible mark of quality. As a learner, you will receive physical certificates upon completion of these courses, serving as evidence of your enhanced understanding and skillset. Further enriching this curriculum are five courses accredited by CPD QS, ensuring the relevance of your learning. The fusion of QLS-endorsed and CPD QS-accredited courses offers a comprehensive exploration into the field of botany, touching on diverse aspects ranging from agricultural science to environmental law. By the end of this journey, you will not just understand the rhythm of life; you will dance with it. Key Features of the Reproduction in Flowering Plants, Basics of Reproduction & Botany Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Reproduction in Flowering Plants, Basics of Reproduction & Botany bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Reproduction in Flowering Plants QLS Course 02: The Basics of Reproduction QLS Course 03: Botany 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Agricultural Science & Gardening Course 02: Forestry Course 03: Horticulture Course 04: Arboriculture Course 05: Environmental Law 2021 In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Reproduction in Flowering Plants, Basics of Reproduction & Botany courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes: Understand the mechanism of reproduction in flowering plants. Grasp the basics of reproduction across various life forms. Gain knowledge about botany and its role in the natural world. Develop insights into agricultural science and its role in gardening. Learn about forestry and its ecological importance. Gain an understanding of horticulture and arboriculture practices. Become familiar with the latest regulations in environmental law 2021. Embark on a captivating journey with our course bundle, "Reproduction in Flowering Plants, Basics of Reproduction & Botany". Dive into the fundamental mechanisms that drive life forward, from the intriguing reproduction processes of flowering plants to the elementary principles of reproduction. Further delve into the myriad branches of botany, accentuated by courses in agricultural science, forestry, horticulture, arboriculture, and environmental law. Engage in a comprehensive and enriching exploration into the verdant realm of plant life, meticulously crafted to equip you with a thorough understanding of the subject. Not only does this course bundle aim to refine your understanding, but it also intends to supplement your credentials. With QLS-endorsed and CPD QS-accredited courses under your belt, you hold a competitive edge that is marked by quality and relevance. This journey promises to be an enlightening one, a dance with the rhythm of life itself. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals are passionate about plant life and reproduction. Aspiring botanists seeking to broaden their understanding of plant science. Environmental law professionals wanting to update their knowledge. Horticulture and agriculture enthusiasts aiming to delve deeper into their fields. Career path Botanist: Average UK Salary - £30,000-£40,000 Environmental Law Consultant: Average UK Salary - £40,000-£70,000 Horticulturist: Average UK Salary - £20,000-£30,000 Arborist: Average UK Salary - £25,000-£35,000 Forester: Average UK Salary - £25,000-£35,000 Agricultural Scientist: Average UK Salary - £30,000-£50,000 Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

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