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Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:04:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:06:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

Overview Embarking on the High School Math course opens doors to a world where numbers and equations form the backbone of countless real-world applications. In an era where data-driven decisions rule, this course stands as a cornerstone for those aspiring to thrive in numerous professional fields.  A recent study by the Educational Research Center highlighted that proficiency in high school mathematics is strongly correlated with success in higher education and various career paths. This course not only equips students with fundamental mathematical knowledge but also sharpens analytical and problem-solving skills, making them indispensable in today's competitive landscape. Venture on a journey of mathematical mastery. Enrol in the High School Math course today and unlock the door to a world of opportunities and intellectual growth! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this High School Math. It is available to all students, of all academic backgrounds. Requirements Our High School Math is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 12 sections • 136 lectures • 23:03:00 total length •Introduction: 00:03:00 •What is Function?: 00:07:00 •Vertical Line Test: 00:04:00 •Value of a Function Graphically: 00:08:00 •Domain Range of a function Algebraically: 00:13:00 •Domain Range of a function Graphically: 00:06:00 •Even & Odd Functions: 00:07:00 •One to one Function: 00:05:00 •Composite Functions: 00:09:00 •How to draw Rational Functions- 1: 00:04:00 •How to draw Rational Functions- 2: 00:10:00 •Inverse of a function Algebraically: 00:05:00 •Inverse of a function Graphically: 00:09:00 •Practice Problems 1: 00:15:00 •Practice Problems 2: 00:11:00 •Resources Downloads: 00:40:00 •Introduction to Quadratic Equations: 00:04:00 •Solving Quadratic Equations by Factorization method: 00:10:00 •Writing in completed square form: 00:08:00 •Solving by completed square method: 00:08:00 •Sketching of Quadratic Graphs: 00:11:00 •Quadratic graphs using Transformations: 00:06:00 •Quadratic inequalities: 00:11:00 •Deriving Quadratic formula: 00:05:00 •Solving problems using Quadratic Formula: 00:06:00 •Equations reducible to Quadratic: 00:07:00 •Nature of Roots of Quadratic Equations: 00:04:00 •Nature of roots continues: 00:12:00 •Quadratic Equations (Resources): 00:50:00 •Distance formula: 00:15:00 •Mid point formula: 00:05:00 •Gradient of a line: 00:10:00 •Graphing using gradient and y intercept: 00:02:00 •Some standard lines: 00:04:00 •Slope intercept form y = m x +c: 00:05:00 •Intersection of line and parabola: 00:09:00 •Practice Problems from past papers (part 3): 00:12:00 •Sequence and series ( video): 00:08:00 •Arithmetic Sequence: 00:10:00 •General term of an A.P.: 00:07:00 •Finding given term is which term?: 00:05:00 •Writing sequence when two terms are known: 00:08:00 •Condition for three terms to be in A.P.: 00:05:00 •Sum to n terms of A.P.: 00:06:00 •Practice Problems 1 (A.P.): 00:08:00 •Practice problems 3 (A.P.): 00:07:00 •Practice problems 4 (A.P.): 00:10:00 •Geometric Progressions: 00:11:00 •Sum to n terms in G.P.: 00:14:00 •Sum to infinite Terms in G.P.: 00:13:00 •Practice Problems 1 (GP): 00:13:00 •Practice Problems 2 (GP): 00:06:00 •Practice Problems based on AP and GP both: 00:15:00 •Sequence and series Text 1: 00:40:00 •Sequence and series Text 2: 00:55:00 •What is Factorial?: 00:06:00 •n-choose -r problems: 00:06:00 •Properties of n - choose -r: 00:05:00 •Expanding using Binomial Theorem: 00:11:00 •Finding the indicated term in the Binomial expansion: 00:10:00 •Finding the indicated term from end: 00:09:00 •Finding the coefficient for given exponent (index) of the variable: 00:08:00 •Finding the term independent of variable: 00:05:00 •Expanding in increasing and decreasing powers of x: 00:09:00 •Practice problems 1: 00:12:00 •Practice Problems 2: 00:09:00 •Practice problems 3: 00:10:00 •Past papers problems 1: 00:15:00 •Past Paper problems 2: 00:13:00 •Past Paper problems 3: 00:09:00 •Resources in this section: 00:48:00 •What is Derivative?: 00:07:00 •Derivation of formula for Derivative: 00:06:00 •Differentiation by definition or First Principle: 00:06:00 •Power Rule: 00:20:00 •Practice Problems on Power Rule 1: 00:07:00 •Practice Problems on Power Rule 2: 00:07:00 •Practice Problems on Power Rule 3: 00:05:00 •Practice Problems on Power Rule 4: 00:11:00 •Practice Problems on Power Rule 5: 00:07:00 •Tangents and Normals- Basics: 00:12:00 •Practice- Tangents and Normals Part 1: 00:16:00 •Practice- Tangents and Normals Part 2: 00:13:00 •Practice- Tangents and Normals Part 3: 00:11:00 •Practice- Tangents and Normals Part 4: 00:14:00 •Stationary Points - Basics: 00:13:00 •Practice- Increasing Decreasing & Maxima Minima part 1: 00:11:00 •Practice- Increasing Decreasing & Maxima Minima part 2: 00:12:00 •Practice- Increasing Decreasing & Maxima Minima part 3: 00:10:00 •Concavity-Basics: 00:02:00 •Concavity & Second Derivative: 00:08:00 •Second Derivative Test: 00:09:00 •Practice Problems on second derivative: 00:04:00 •Practice Problem of Maxima Minima using second derivative test Part 1: 00:17:00 •Practice Problem of Maxima Minima using second derivative test Part 2: 00:10:00 •Practice Problem of Maxima Minima using second derivative test Part 3: 00:07:00 •Practice Problem of Maxima Minima using second derivative test Part 4: 00:07:00 •Applications of Maxima and Minima Part 1: 00:09:00 •Applications of Maxima and Minima Part 2: 00:07:00 •Applications of Maxima and Minima Part 3: 00:10:00 •Applications of Maxima and Minima Part 4: 00:09:00 •Applications of Maxima and Minima Part 5: 00:10:00 •Applications of Maxima and Minima Part 6: 00:08:00 •Past Paper Problems on applications of maxima and minima Part 1: 00:09:00 •Past Paper Problems on applications of maxima and minima Part 2: 00:09:00 •Past Paper Problems on applications of maxima and minima Part 3: 00:08:00 •Past Paper Problems on applications of maxima and minima Part 4: 00:07:00 •Chain Rule: 00:12:00 •Rate of change part 1: 00:05:00 •Rate of change part 2: 00:10:00 •Rate of change part 3: 00:07:00 •Past Paper Problems using chain rule -1: 00:06:00 •Past Paper Problems using chain rule - 2: 00:07:00 •Past Paper Problems using chain rule 3: 00:07:00 •Past Paper Problems using chain rule -4: 00:04:00 •Graphical Method of solving pair of linear equations: 00:10:00 •Video lecture on Graphical method: 00:05:00 •Method of elimination by substitution: 00:10:00 •Video lecture on substitution method: 00:06:00 •Method of elimination by equating the coefficients: 00:10:00 •Video lecture on equating coefficients method: 00:09:00 •Practice Problems on Linear equation: 00:20:00 •How to take up this course?: 00:10:00 •Background of Algebra: 00:10:00 •Language of Alg ebra: 00:10:00 •Finding Values of algebraic expressions: 00:14:00 •Fractional Indices: 00:10:00 •Higher Indices: 00:07:00 •Rules of Brackets: 00:04:00 •Simplification by removing brackets (BODMAS): 00:11:00 •Simplifications of Algebraic Fractions: 00:07:00 •Solving complex Linear Equations in one variable: 00:10:00 •Factorization by taking out common factor: 00:10:00 •Factorization by grouping the terms: 00:09:00 •Factorize using identity a ² - b ²: 00:07:00 •Factorization by middle term split: 00:12:00

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Understanding Marginal Costing Course is designed to help individuals grasp the vital concept of marginal costing, an essential tool in financial decision-making. In today’s competitive business landscape, understanding how to calculate and apply marginal costs allows businesses to optimise operations and increase profitability. This course simplifies complex financial theories and makes them accessible for anyone looking to gain a solid foundation in cost management, whether for career progression or enhancing business performance. By the end of the course, you’ll gain a clear understanding of how marginal costing contributes to pricing decisions, cost control, and profitability analysis. It offers a clear distinction between fixed and variable costs, enabling students to make more informed decisions when analysing profit margins. With flexible online access, this course allows you to learn at your own pace, diving deep into the techniques and formulas used by financial professionals to improve business strategies. Whether you’re aiming to advance in your career or strengthen your financial acumen, Understanding Marginal Costing provides the knowledge to confidently analyse and apply costing methods effectively. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 01: Introduction to Costing Methods Module 02: Understanding Marginal Costing Module 03: Cost Classification Module 4: Cost-Volume-Profit (CVP) Analysis Module 05: Decision-Making Using Marginal Costing Module 06: Contribution Margin Ratio and Profit Planning Module 07: Limitations and Criticisms of Marginal Costing Learning Outcomes Analyze costs effectively for informed decision-making. Utilize Marginal Costing strategically for financial planning. Classify costs adeptly to enhance decision-making capabilities. Implement Contribution Margin Ratio for profitable strategies. Grasp the limitations and criticisms of Marginal Costing. Enhance financial acumen for various professional pursuits. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Entrepreneurs seeking financial mastery. Finance enthusiasts eager to deepen their knowledge. Professionals aiming to enhance decision-making skills. Students pursuing a career in finance. Business managers seeking strategic financial insights. Aspiring analysts and consultants. Individuals preparing for financial roles. Anyone interested in mastering Marginal Costing principles. Career path Financial Analyst Management Accountant Business Consultant Cost Accountant Budget Analyst Entrepreneurial Ventures in Finance Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

This Forklift & HGV Driver Course offers a thorough introduction to the essential knowledge and responsibilities involved in operating forklifts and Heavy Goods Vehicles (HGVs). Designed for those aiming to gain confidence and understanding in vehicle handling, safety, and regulations, the course covers everything from identifying different forklift types to mastering load restraint and driver conduct. The modules focus on safety measures, operational risks, and legal requirements, ensuring learners are well-informed about the demands and expectations of both forklift and HGV driving roles. Structured to provide clear and detailed guidance, this course addresses all key aspects of vehicle operation, including refuelling, handling loads, and navigating driving hours regulations. Ideal for individuals interested in gaining accredited qualifications without the need for physical attendance, the course offers flexible learning to fit varied schedules. Whether you are new to the field or looking to update your knowledge, this programme delivers essential insights for responsible and efficient forklift and HGV operation. Key Benefits Accredited by CPD Instant e-certificate Fully online, interactive course Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Curriculum Forklift Training Module 01: Introduction to Forklifts Module 02: Types of Forklifts Module 03: Operating Forklifts Safely Module 04: Moving and Handling Loads Safely Module 05: Refuelling and Recharging Safely Module 06: Operational Risks and Hazards Module 07: Regulations and Safety Measures HGV Training Module 01: Knowing Your LGV Module 02: Characteristics of Vehicle Module 03: Vehicle Limit Module 04: Loads and Load Restraint Module 05: Drivers' Hours and Records Module 06: Vehicles and Driving Module 07: Health and Conduct Module 08: Your LGV Module 09: Qualified LGV Driver Module 10: Provisional LGV Licence Module 11: CPC Test Part 01 and 02 Module 12: CPC Test Part 03 and 04 Module 13: After Getting Qualification Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%. Certificate Once you've successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we do recommend that you renew them every 12 months. CPD 20 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Forklift & HGV Driver training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Forklift & HGV Driver training. Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

The Brainspotting: Process and Trauma Treatment Course offers a deep dive into an innovative therapeutic technique, focusing on how it can effectively address trauma and emotional pain. This method integrates the power of focused eye positions to activate the brain’s healing mechanisms, providing an invaluable tool for mental health professionals. This course equips you with the understanding of how trauma impacts the brain and how to use Brainspotting to help clients access and process deep-seated emotions. It’s a structured approach to unearthing the root causes of emotional distress and fostering long-lasting healing. Designed for those interested in understanding the complexities of trauma treatment, this course breaks down the process step by step. You’ll learn how Brainspotting can be seamlessly integrated into various therapeutic settings, enhancing your ability to support clients through their emotional challenges. Whether you're new to trauma-focused therapies or seeking to expand your knowledge, this course provides a clear path to mastering a technique that has already transformed countless lives. Take this opportunity to refine your skills in a highly effective, evidence-based therapy. Key Features: The key features of Brainspotting: Process and Trauma Treatment course This Brainspotting: Process and Trauma Treatment Couse is CPD Accredited. FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum: The course curriculum of Brainspotting: Process and Trauma Treatment course Module 01: Introduction to Brainspotting Module 02: The Brainspotting Process Module 03: Brainspotting Techniques Module 04: Integrating Brainspotting with Other Modalities Module 05: Applications of Brainspotting Module 06: Brainspotting in Diverse Populations Module 07: Ethical Considerations and Professional Development Learning Outcomes of Brainspotting: Process and Trauma Treatment Course: Uncover foundations of Trauma, grasping its pivotal introductory elements and principles. Navigate the Brainspotting process, mastering its application in trauma treatment scenarios. Acquire proficiency in Brainspotting and Trauma Treatment techniques, honing skills for precision in therapeutic sessions. Explore seamless integration, linking Brainspotting and Trauma Treatment with diverse therapeutic modalities for comprehensive treatment. Identify broad applications of Brainspotting and Trauma Treatment, unveiling its potential in varied clinical settings. Engage in ethical considerations, fostering professional growth and integrity in practice. Accreditation This Brainspotting: Process and Trauma Treatment course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this Brainspotting: Process and Trauma Treatment course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Therapists seeking advanced trauma treatment techniques for diverse client populations. Counsellors aspiring to enhance their skills in trauma-focused therapeutic interventions. Mental health professionals aiming to integrate Brainspotting into their clinical repertoire. Psychologists desiring a comprehensive understanding of trauma treatment modalities. Healthcare practitioners dedicated to ethical considerations in trauma-focused therapy. Career path Trauma Specialist Counsellor Clinical Psychologist Psychotherapist in Mental Health Institutions Rehabilitation Counsellor in Trauma Therapy Clinical Supervisor in Trauma Therapy Mental Health Researcher in Trauma Interventions Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Explore our comprehensive IT Support Technician Training Course with 64 modules covering computer basics, hardware, operating systems, troubleshooting, databases, programming, and more. Perfect for beginners and professionals alike.

Soft skills are the intangible forces that drive successful communication, collaboration, and leadership. They are the undercurrents that can propel a team to excellence or hold it back from achieving its full potential. This course is designed to help participants understand and harness these skills to create a positive impact in their professional roles.

Refine your presentation skills and captivate your audience with the Presentation Skills course. Learn effective techniques for delivering impactful speeches and gain the confidence to shine in any speaking engagement.