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Are you interested in sharing knowledge with others and gaining insightful conclusions from data? This online Power BI course is your comprehensive and in-depth introduction to this powerful software if you've ever been curious about the fascinating, artistic field of data analysis and visualisation. Microsoft Power BI has the potential to be your most effective tool. It comes with all of the features found in MS Excel, as well as many more. Power BI has a wide range of features and functionalities. By obtaining this Power BI training, you'll learn to make the most of all of Microsoft Power BI's features and produce insightful tables, graphs, and reports. Along with this Power BI course, you also receive a number of additional practical and supplemental courses in a package that will assist you in becoming an expert in the field of business and IT. With the supplementary business management course, you will acquire the technical abilities and business knowledge needed to put your skills to use in the industry. Working with various platform data, algorithms, and data structures all are part of the job description of a data analyst. As the course includes Data Structure and Graph theory algorithm courses, this package will aid in your skill improvement as a data analyst. These courses in this bundle will advance your Power BI proficiency and allow you to perform more reasonable experimentation with this Power BI tool. Along with this Power BI course, you will get 10 premium courses, an original hardcopy, 11 PDF Certificates (Main Course + Additional Courses) Student ID card as gifts. This Power BI Bundle Consists of the following Premium courses: Course 01: Complete Microsoft Power BI 2021 Course 02: Data Structures Complete Course Course 03: Computer Science: Graph Theory Algorithms Course 04: Introduction to Data Analysis Course 05: Business Analysis Level 3 Course 06: Strategic Business Management Course 07: Enterprise Risk: Identification and Mitigation Level 2 Course 08: GDPR Data Protection Level 5 Course 09: Functional Skills IT Course 10: Decision Making and Critical Thinking Course 11: Time Management With the help of this excellent package, you can develop a professional career in the IT sector while also increasing your own personal growth. To summarise your learning objectives of this bundle: you will be able to, Identify the Power BI components and workflows you need to know Create a data model in Power BI Translate data into graphics using Power BI features Understand different types of data structures and algorithms Perform data analysis and measure the performance of your model Acquire business knowledge about the IT industry Gain time management skills for working as a professional in the corporate sector Your new data visualisation abilities can be used in almost any field of study or employment, including data science, finance, and even graphic design. This can lead to a wide range of professional prospects. So enrol in this course right away to jumpstart your career. Benefits you'll get choosing Apex Learning: Pay once and get lifetime access to 11 CPD courses Free e-Learning App for engaging reading materials & helpful assistance Certificates, student ID for the course included in a one-time fee Free up your time - don't waste time and money travelling for classes Accessible, informative modules of course designed by expert instructors Learn about course at your ease - anytime, from anywhere Study the course from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills Curriculum: Course 01: Complete Microsoft Power BI 2021 Introduction Preparing our Project Data Transformation - The Query Editor Data Transformation - Advanced Creating a Data Model Data Visualization Power BI & Python Storytelling with Data DAX - The Essentials DAX - The CALCULATE function Power BI Service - Power BI Cloud Row-Level Security More data sources Next steps to improve & stay up to date How will I get my Certificate? After successfully completing the Power BI course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (Previously it was £6*11 = £66) Hard Copy Certificate: Free (For The Title Course: Previously it was £10) PS The delivery charge inside the UK is £3.99, and the international students have to pay £9.99. CPD 115 CPD hours / points Accredited by CPD Quality Standards Who is this course for? There are no strict requirements, and any experienced computer user is expected to be able to finish the project. This bundle will also be beneficial for, Students from all academic disciplines Students interested in powerful data analysis techniques Anyone in business who wants to transform data into information Users of Excel who want to advance their reporting and analysis Requirements This Power BI course has been designed to be fully compatible with tablets and smartphones. Career path These different credentials will add value to your resume and give you access to a wide range of industries, including, but not limited to, Data analysis IT industry Business and management Freelance worker Entrepreneur Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Complete Microsoft Power BI) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Creating Your Organization's Business Agility Strategy Optimally, your organization's business strategy and business agility strategy are completely coupled together, one seamlessly supporting the other. Practically, what many organizations experience today is a tug-of-war between their business strategy and this thing called 'business agility.' Or, a lack of business agility strategy altogether, leaving the business strategy more susceptible, and even fragile, when unforeseen changes inevitably occur. We need a way to think about business agility, coupled with business strategy, so that we can live into the reality of harnessing change for good. This session will expose you to a recently published body of work, Domains of Business Agility, which serves as a model for creating business agility strategy. Think of it as a skeleton, or a thinking tool. Used this way, the model allows leaders to answer the question, 'How much business agility do we need in various parts of our organization as a seamless support to our overall business strategy?' In this session, Lyssa Adkins, author of Coaching Agile Teams and Agile/Leadership Coach, leads you through the key steps for creating such a business agility/business strategy. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs.

Creating Your Organization's Business Agility Strategy Optimally, your organization's business strategy and business agility strategy are completely coupled together, one seamlessly supporting the other. Practically, what many organizations experience today is a tug-of-war between their business strategy and this thing called 'business agility.' Or, a lack of business agility strategy altogether, leaving the business strategy more susceptible, and even fragile, when unforeseen changes inevitably occur. We need a way to think about business agility, coupled with business strategy, so that we can live into the reality of harnessing change for good. This session will expose you to a recently published body of work, Domains of Business Agility, which serves as a model for creating business agility strategy. Think of it as a skeleton, or a thinking tool. Used this way, the model allows leaders to answer the question, 'How much business agility do we need in various parts of our organization as a seamless support to our overall business strategy?' In this session, Lyssa Adkins, author of Coaching Agile Teams and Agile/Leadership Coach, leads you through the key steps for creating such a business agility/business strategy. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs.

Overview of Data Science & Machine Learning with Python Join our Data Science & Machine Learning with Python course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Science & Machine Learning with Python course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Data Science & Machine Learning with Python course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Data Science & Machine Learning with Python Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Science & Machine Learning with Python. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Data Science & Machine Learning with Python course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Data Science & Machine Learning with Python is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Data Science & Machine Learning with Python Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. 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 00:04:00 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 Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 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 00:06:00 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 - Data Science & Machine Learning with Python 00:00:00

Peer coaching is a cost-effective way to provide quality employee development to high-potential and emerging leaders. Learn about the behaviours that will ensure you are a great peer coach. You will understand why questions play an important role for effective coaching and how to use the correct questioning sequence for an effective coaching session. Learn the behaviours and steps under your control for achieving the end goal. Learning Objectives Explain the benefits of peer coaching, Implement behaviors of effective peer coaches, Apply the GROW model for sequencing questions in a coaching session Target Audience Managers, Team Leaders, Young Professionals, Sales Professionals, Customer Service Teams

Discover the power of data science and machine learning with Python! Learn essential techniques, algorithms, and tools to analyze data, build predictive models, and unlock insights. Dive into hands-on projects, from data manipulation to advanced machine learning applications. Elevate your skills and unleash the potential of Python for data-driven decision-making.

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost

Innovation and Design - Thinking Beyond the Obvious: On-Demand Thinking and doing the same has got to change. The world we live in is becoming more volatile, uncertain, complex, and ambiguous. Expanding our innovation and design thinking capabilities is a key to unlock solutions for some of our biggest global and local challenges. What do you need to learn, do, and become in order to continue in the current and future environment? It is a powerful combination of knowledge, competencies, and mindset. In an increasingly complicated context, this course provides participants with the knowledge needed to not only learn about innovation and what is needed to make it sustainable in your organization but also to inspire others to innovate and think beyond the obvious, What You Will Learn At the end of this program, you will be able to: Explain the link between innovation and strategy Describe the value of expanding your innovation practice and creating an innovative culture would be Apply a basic set of Design Thinking techniques to your innovation projects Promote innovative practices within your teams and processes in your work environment Foundation Concepts The context for innovation What is innovation Comparing innovation to invention Innovation and Strategy Run and changing the business The power of disruptors Three horizons of growth Strategy and innovation portfolio links Innovation strategy and delivery Measuring value from innovation Design Thinking What is design thinking Why design thinking Design thinking frameworks Stanford university d.School model Design thinking general practices Innovative Decision Making Leaders focus on value creation Effective decision making Characteristics of great leaders and sponsors Measuring innovation leadership effectiveness Situational leadership and overcoming bias Building an Innovative Team Forming innovative teams Values and behaviors that support innovation Building an energized team culture Mindset is key Embracing collaboration and multimodal working Innovative Culture Introduction to organizational culture Benefits and barrier to enterprise agility Enabling innovation across the organization Leaders are critical Success factors for an innovative culture

Description Public Speaking Diploma  Do you want to be a successful communications expert? We offer you a chance to propel your career in the Communication Industry by joining our diploma course in Public Speaking. You will be awarded an e-Certificate without paying extra money after the course. The Public Speaking Diploma course provides a model you can rely on to prepare and deliver compelling and moving presentations. Statistics show that there are 1,994,016 full-time employments available currently that you can apply for with a qualification in a course related to communication studies. Maybe your job is in communications studies, or perhaps you have to speak at a public gathering. You may be a part of some organization where you have to speak at events, conferences, or company meetings. Many times in life, we get called out to speak a few words, whether in schools, public gatherings or celebrations, or businesses. Most people have at least some fears of speaking to a crowd or at least experiencing some discomfort. These moments catch us unprepared, not knowing what to talk about or how much we should be speaking, making us ramble on without much substance, making our talk increasingly confusing for those listening. This diploma course in Public Speaking will let you shine in a place where so many people falter. The Public Speaking Diploma course will teach you how to organize your speech to be clear-cut and how to put down points of your speech in a way that is easily memorable so that you can deliver it with confidence. After the course, you will find that your reckless fear of speaking in public has been reduced significantly. You are using rehearsal techniques that help you use a solid and vibrant voice while speaking. You have developed the ability to deliver speeches with solid movements and gestures. The speech model in the Public Speaking Diploma course has a structure with a wide array of applications in briefings, interviews, elevator talks, and lengthy presentations. Do not be discouraged if you are a beginner in this area. The diploma course in Public Speaking will ensure that you master the basic speaking techniques quickly. If you are used to speaking in public places, this course will provide you with the information you need to understand public speaking better and elevate your skills. Enrol in the Public Speaking Diploma course so that you can transform into a most effective speaker. Learn how to improve your presenting abilities, use body language and non-verbal cues to your advantage, overcome your fear of public speaking, master the art of persuasion, and produce great speeches for any occasion. Join the course to hone your public speaking skills to be a better and more effective public speaker and presenter. What you will learn   1: Get to Know the Basics of Public Speaking  2: Recognizing Pitfalls and Overcoming Them 3: Preparing Your Speech  4: Practicing Your Speech and Adding Humour  5: Preparing Your Mind for Public Speaking  6: Preparing Your Body for the Speech  7: Get To Know About Articulation  8: Get To Know About Resonance  9: Enhancing Your Speech  10: Dealing with Stage Fright  Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

SFBT - Solution-Focused Brief Therapy Training is a comprehensive program designed to equip participants with the knowledge and skills to effectively apply Solution-Focused Brief Therapy in various settings. This course covers the SFBT Diamond Model, key techniques, collaborative therapeutic relationship building, goal setting, resource exploration, and ethical considerations. Participants will learn to implement SFBT in different contexts and with diverse populations.   Learning Outcomes of SFBT - Solution-Focused Brief Therapy Training: Understand the fundamentals of Solution-Focused Brief Therapy. Master the SFBT Diamond Model for focused intervention. Apply key SFBT techniques for effective client engagement. Build collaborative therapeutic relationships with clients. Set and work towards client-centered goals in SFBT. Explore resources and facilitate solution-building with clients. Implement and evaluate SFBT interventions. Address ethical considerations when practicing SFBT.   Why buy this SFBT - Solution-Focused Brief Therapy Training?  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 SFBT - Solution-Focused Brief Therapy Training you will be able to take the MCQ test that will assess your knowledge. 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 SFBT - Solution-Focused Brief Therapy Training course is ideal for Mental health professionals seeking to enhance their therapeutic skills. Counselors, social workers, and psychologists interested in brief therapy. Coaches and educators looking to apply SFBT principles. Individuals wanting to understand SFBT for personal growth.   Prerequisites This SFBT - Solution-Focused Brief Therapy Training 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 SFBT Therapist: Average Earnings: £45,000 - £85,000 per year. Counseling Psychologist: Average Earnings: £70,000 - £120,000 per year. Clinical Social Worker: Average Earnings: £50,000 - £85,000 per year. Life Coach: Average Earnings: £30,000 - £90,000 per year. Educational Consultant: Average Earnings: £50,000 - £100,000 per year. Course Curriculum Module 01: Introduction to Solution-Focused Brief Therapy (SFBT) Introduction to Solution-Focused Brief Therapy (SFBT) 00:19:00 Module 02: The SFBT Diamond Model The SFBT Diamond Model 00:14:00 Module 03: Key Techniques in SFBT Key Techniques in SFBT 00:19:00 Module 04: Building a Collaborative Therapeutic Relationship Building a Collaborative Therapeutic Relationship 00:17:00 Module 05: Goal Setting in SFBT Goal Setting in SFBT 00:13:00 Module 06: Resource Exploration and Solution Building Resource Exploration and Solution Building 00:14:00 Module 07: Implementation and Evaluation Implementation and Evaluation 00:13:00 Module 08: SFBT in Different Settings and Populations SFBT in Different Settings and Populations 00:17:00 Module 09: Ethical Considerations in SFBT Ethical Considerations in SFBT 00:14:00