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The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Complete Python Machine Learning & Data Science Fundamentals 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. Who is this course for? This Complete Python Machine Learning & Data Science Fundamentals course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals 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. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:08:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:07:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Python Machine Learning & Data Science Fundamentals 00:00:00

Fashion Stylist Fundamentals is a comprehensive theoretical course designed to introduce you to the essential aspects of fashion styling. Starting with an overview of the fashion stylist's role, this course explores the core elements of styling, from fabric selection to conceptual creativity.

Duration 5 Days 30 CPD hours This course is intended for Senior Linux system administrators who use high-availability clustering and fault-tolerant shared storage technologies to maximize resiliency of production services. Overview Install and configure a Pacemaker-based high availability cluster. Create and manage highly available services. Troubleshoot common cluster issues. Work with shared storage (iSCSI) and configure multipathing. Implement Logical Volume Manager (LVM) in cluster-aware configurations. Configure GFS2 file systems on storage shared by multiple nodes. Deploy reliable, available critical production services in a high availability cluster In the Red Hat High Availability Clustering (RH436) course, you will learn how to provide highly available network services to a mission-critical enterprise environment through the deployment and management of shared storage and server clusters. Created for senior Linux system administrators, this 4-day course strongly emphasizes lab-based activities. You will set up a cluster of systems running the Pacemaker component of the Red Hat Enterprise Linux High-Availability Add-On, and deploy Linux-based services such as web servers and databases on that cluster. Cluster storage components from the Resilient Storage Add-On are also covered; installations and applications that require multiple cluster nodes can access the same storage simultaneously. This includes Logical Volume Manager (LVM) Shared Volume Groups, Red Hat Global File System 2 (GFS2), and Device-Mapper Multipath. This course is based on Red Hat Enterprise Linux 8.3. Prerequisites Red Hat Certified System Administrator (RHCSA) exam (EX200) and associated courses. Red Hat Cerfitied Engineer (RHCE) exam (EX294) and associated courses. 1 - Creating high availability clusters Create a basic high availability cluster. 2 - Managing cluster nodes and quorum Manage node membership in the cluster and describe how it impacts cluster operation. 3 - Isolating malfunctioning cluster nodes Isolate unresponsive cluster nodes to protect data and recover services and resources after a failure. 4 - Creating and configuring resources Create basic resources and resource groups to provide highly available services. 5 - Troubleshooting high availability clusters Identify, diagnose, and fix cluster issues. 6 - Automating cluster and resource deployment Deploy a new high availability cluster and cluster resources using Ansible automation. 7 - Managing two-node clusters Operate two-node clusters while identifying and avoiding issues specific to a two-node cluster configuration. 8 - Accessing iSCSI storage Configure iSCSI initiators on your servers to access block-based storage devices provided by network storage arrays or Ceph storage clusters. 9 - Accessing storage devices resiliently Configure resilient access to storage devices that have multiple access paths. 10 - Configuring LVM in clusters Select, configure, and manage the correct LVM configuration for use in your cluster. 11 - Providing storage with the GFS2 cluster file system Use the GFS2 cluster file system to simultaneously pProvide tightly coupled shared storage that can be accessed by multiple nodes. 12 - Eliminating single points of failure Identify and eliminate single points of failure in your cluster to decrease risk and increase average service availability. Note: Course outline is subject to change with technology advances and as the nature of the underlying job evolves. For questions or confirmation on a specific objective or topic, please contact a training specialist. Additional course details: Nexus Humans Red Hat High Availability Clustering (RH436) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Red Hat High Availability Clustering (RH436) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Our banking and risk management courses are aimed at empowering finance professionals with the knowledge and skills needed in banking, risk management, financial services and regulation. Our courses are suitable for a wide range of audience including bank executives/directors, senior managers, financial risk managers, credit officers, relationship managers, bank operational staff, treasury/asset managers, compliance officers, investment bankers, and financial services regulators and supervisors.

Reflexology: Complete Reflexology Training Do you want to start a career in reflexology, or do you want to develop your skills in reflexology? Then this reflexology course will provide you with a solid basis to become a confident reflexology professional. Throughout the reflexology course, you can develop your knowledge of reflexology. In this reflexology course, you will get information about various systems needed for reflexology therapy. Feet, cells, tissue and skin-related information are added in various modules of this reflexology course. Reflexology techniques and the role of a reflexologist are explained in the reflexology course. How to establish a reflexology business and practice reflexology management are elaborated on in the reflexology course. Enrol the Reflexology: Reflexology course to advance your profession! Learning outcome of Reflexology: Complete Reflexology Training course After completing this Reflexology: Complete Reflexology Training course learner will learn about: The feet, cells, tissues and skin. The reflexology course teaches the role of the reflexology specialist. Reflexology techniques and various systems related to reflexology are elaborated in this reflexology course. You will learn about the special organs from this comprehensive reflexology course. Reflexology for the hands, reflexology business and practice management are part of this reflexology course. Special Offers of this Reflexology: Complete Reflexology Training Course This Reflexology: Complete Reflexology Training Course includes a FREE PDF Certificate. Lifetime access to this Reflexology: Complete Reflexology Training Course Instant access to this Reflexology: Complete Reflexology Training Course Get FREE Tutor Support to this Reflexology: Complete Reflexology Training Course Reflexology: Complete Reflexology Training Throughout the reflexology course, you can increase your understanding of reflexology. In this reflexology course, you will discover the various systems that are necessary for reflexology therapy. Reflexology courses include information on feet, cells, tissue, and skin in addition to other topics. Procedures for reflexology and the role of a reflexologist are explained in the reflexology course. The reflexology training covers all the ins and outs of opening and operating a reflexology practice. Who is this course for? Reflexology: Complete Reflexology Training Anyone who is interested in Reflexology can enrol in this Reflexology course. Requirements Reflexology: Complete Reflexology Training To enrol in this Reflexology Course, students Need: To join in our Reflexology: Complete Reflexology Training Course, you must have a strong command of the English language. To successfully complete our Reflexology: Complete Reflexology Training Course, you must be vivacious and self driven. To complete our Reflexology: Complete Reflexology Training Course, you must have a basic understanding of computers. A minimum age of 15 is required to enrol in this Reflexology: Complete Reflexology Training Course. Career path Reflexology: Complete Reflexology Training This Reflexology: Complete Reflexology Training course can help you get the job you're after in the sector.

Close Protection & Security Management Are you looking forward to starting a career in the Close Protection sector? Our Close Protection course is specially designed to assist you with a better understanding of Close Protection. Our Close Protection has covered all the latest topics from the introduction of Close Protection to all the legal and ethical considerations of Close Protection. Also, you will learn about personal security, awareness, surveillance and reconnaissance from the Close Protection course. This Close Protection course involves threat mitigation helpful for boosting skills on the Close Protection topics. Enrol now for a successful Close Protection career! Learning Outcome of Close Protection After completing the Close Protection course, learners will know about: The Introduction to Close Protection, personal security and awareness. The Close Protection course describes surveillance and reconnaissance. Threat mitigation, operational planning and vehicle operations are lessons parts of the Close Protection course. You will learn firearms and defensive equipment for Close Protection. This Close Protection course also teaches physical fitness and self-defence. You can increase your tactical skills, communication skills, public relations and etiquette through the Close Protection course. Learn Close Protection operations, crisis management, legal and ethical considerations with the help of this Close Protection course. Main Course: Close Protection Course Free Courses are including with this Close Protection Course Close Protection Course, We Offer a free Security Management Course Close Protection Course, We Offer a free Criminal Intelligence Analyst Course Special Offers of this Close Protection Course This Close Protection Course includes a FREE PDF Certificate. Lifetime access to this Close Protection Course Instant access to this Close Protection Course Get FREE Tutor Support to this Close Protection Course Close Protection & Security Management Our close protection has covered the most recent topics, covering everything from the inception of close protection to all of its moral and legal implications. You will learn about awareness, monitoring, and reconnaissance in the Close Protection: Close Protection Course. Additionally, the Close Protection provides an explanation of threat mitigation and personal security that can enhance understanding of related subjects. Who is this course for? Close Protection & Security Management This Close Protection training is open to everyone. Anyone can enrol on this Close Protection course. Requirements Close Protection & Security Management To enrol in this Close Protection & Security Management Course, students must fulfil the following requirements. To join in our Close Protection Course, you must have a strong command of the English language. To successfully complete our Close Protection Course, you must be vivacious and self driven. To complete our Close Protection Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Close Protection Course Career path Close Protection & Security Management Your employment prospects in this field will be aided by this Close Protection training.

Cognitive Behavioural Therapy: Cognitive Behavioural Therapy Course Are you prepared to realise your full potential and truly impact people's lives? Our Cognitive Behavioural Therapy: Cognitive Behavioural Therapy Course is designed specifically for people who are interested in mental health therapies, and understanding the psychology of human behaviour. Our Cognitive Behavioural Therapy: Cognitive Behavioural Therapy Course is for introducing CBT, advanced topics and integration. The Cognitive Behavioural Therapy: Cognitive Behavioural Therapy course explains how to do cognitive and behavioural processes. Moreover, the Cognitive Behavioural Therapy: Cognitive Behavioural Therapy course also teaches assessment and formulation. In the other module of the Cognitive Behavioural Therapy: Cognitive Behavioural Therapy course, you can find CBT for anxiety disorders, mood disorders and specific populations. Take the Cognitive Behavioural Therapy: Cognitive Behavioural Therapy Course to get a credential that has the power to change your career. Main Course: Cognitive Behavioural Therapy Course Free Courses are including with this Cognitive Behavioural Therapy: Cognitive Behavioural Therapy Course Along with The Cognitive Behavioural Therapy Course, We Offer a free Mental Health First Aid Course Special Offers of this Cognitive Behavioural Therapy: Cognitive Behavioural Therapy Course This Cognitive Behavioural Therapy Course includes a FREE PDF Certificate. Lifetime access to this Cognitive Behavioural Therapy Course Instant access to this Cognitive Behavioural Therapy Course Get FREE Tutor Support to this Cognitive Behavioural Therapy Course Cognitive Behavioural Therapy: Cognitive Behavioural Therapy Course The purpose of our course on Cognitive Behavioural Therapy is to introduce advanced concepts, integration, and CBT. How to do cognitive and behavioral processes is explained in the Cognitive Behavioural Therapy: Cognitive Behavioural Therapy Course. Moreover, the Cognitive Behavioural Therapy: Cognitive Behavioural Therapy Course also teaches assessment and formulation. You may discover cognitive behavioral therapy (CBT) for anxiety disorders, mood disorders, and certain groups in the other module of the Cognitive Behavioural Therapy course Who is this course for? Cognitive Behavioural Therapy: Cognitive Behavioural Therapy Course This Cognitive Behavioural Therapy: Cognitive Behavioural Therapy Course is for aspiring individuals looking to pursue a career in child care, psychology, or mental health services. Requirements Cognitive Behavioural Therapy: Cognitive Behavioural Therapy Course To enrol in this Cognitive Behavioural Therapy: Cognitive Behavioural Therapy Course, students need: To join in our Cognitive Behavioural Therapy: Cognitive Behavioural Therapy Course, you must have a strong command of the English language. To complete our Cognitive Behavioural Therapy: Cognitive Behavioural Therapy Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Cognitive Behavioural Therapy: Cognitive Behavioural Therapy Course. Career path Cognitive Behavioural Therapy: Cognitive Behavioural Therapy Course This course on Cognitive Behavioural Therapy: Cognitive Behavioural Therapy Course will open up a wide range of job options for you, including Cognitive Behavioural Therapist Child Psychologist Family Support Worker Mental Health Counsellor Emotional Intelligence Coach And many more!

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Animal Science: Animal Science Animal Science Course: Unlocking the Secrets of the Animal Kingdom This Animal Science course focuses on essential legal concepts, industry best practices, and foundational expertise in Animal Science. It is designed for individuals seeking in-depth knowledge and skills for a successful career in the Animal Science sector. Completing our Animal Science training will enhance your productivity in the workplace. Our Animal Science training equips you with the necessary tools to become more organized and efficient. Enroll in our Animal Science course to gain a comprehensive understanding of the field of Animal Science. Main Course: Level 5 Animal Science Free Courses are including with this Animal Science Course Along with The Animal Science Course, We Offer a free Level 5 Animal Care Course Along with The Animal Science Course, We Offer a free Pet Nutrition Diploma Along with The Animal Science Course, We Offer a free Rabbit Care Course Special Offers of this Animal Science Course This Animal Science Course includes a FREE PDF Certificate. Lifetime access to this Animal Science Course Instant access to this Animal Science Course Get FREE Tutor Support to this Animal Science Course Animal Science: Exploring Life, Advancing Knowledge in Animal Science This Animal Science course is perfect for those looking to delve deeply into the field of Animal Science. The comprehensive Animal Science course covers all facets of Animal Science, from foundational concepts to current practices in Animal Science. The Animal Science course is divided into 13 modules, each dedicated to a crucial aspect of Animal Science. The aim of this Animal Science course is to equip learners with in-depth knowledge of the Animal Science industry and the skills required to advance their careers in the Animal Science sector. Who is this course for? Animal Science: Animal Science For those seeking to work in the field of animal science, this course in animal science is perfect. Requirements Animal Science: Animal Science To enrol in this Animal Science: Animal Science Course, students must fulfil the following requirements. To join in our Animal Science Course, you must have a strong command of the English language. To successfully complete our Animal Science Course, you must be vivacious and self driven. To complete our Animal Science Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Animal Science Course. Career path Animal Science: Animal Science Those who desire to work in this industry will have a variety of career options thanks to Level 5 Animal Science. like as; Veterinary Technologist: £18,000 to £35,000 per year Livestock Manager: £25,000 to £35,000 per year Veterinarian - £30,000 to £70,000 per year Animal Scientist - £25,000 to £50,000 per year

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