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Split into several informative and engaging modules designed by leading experts, this award-winning Family Support Worker Course is our most popular online course for anyone hoping to learn new skills and excel in this industry. Through a combination of excellent online study materials and video lessons, you will learn everything you need to know to succeed. Please note: This course only gives you the theoretical knowledge that you need to excel in this field. This Family Support Worker Course doesn't entitle you to practise as a expert in this specific field. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Online study materials Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £99. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment To successfully complete the course, students will have to take an automated multiple-choice exam. This exam will be online and you will need to score 60% or above to pass the course. After successfully passing the exam, you will be able to apply for Quality Licence Scheme endorsed certificate of achievement. To verify your enhanced skills in the subject, we recommend that you also complete the assignment questions. These can be completed at any time which is convenient for yourself and will be assessed by our in-house specialised tutors. Full feedback will then be given on your current performance, along with any further advice or support. Who is this course for? Family Support Worker Course is suitable for anyone who wants to gain extensive knowledge, potential experience and expert skills in the related field. This is a great opportunity for all students from any academic backgrounds to learn more on this subject.

Our complete Certified Nursing Assistant Diploma course is expertly designed and features interactive lessons, real-world scenarios, and assessments to ensure you master all essential medical procedures and responsibilities with confidence.

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm

Duration 3 Days 18 CPD hours This course is intended for This course is geared for anyone needing to interface with an Oracle database such as end users, business analysts, application developers and database administrators / DBAs. Overview Working within in a hands-on learning environment, guided by our expert team, attendees will develop a practical approach to Oracle Database Technology. Throughout the course participants will explore: Using PL/SQL programming language for database applications and development incorporating PL/SQL modules within the application architecture from the initial design and planning phase The essentials of building executable PL/SQL program units Each of the major segments of a working program and how these interact with each other during program execution Important error or exception handling capabilities of the language. How database-resident program units can be used as part of the overall database application architecture Applying these new skills to the development of PL/SQL packages. Advanced database programming capabilities and benefits How database triggers can be used as part of an advanced database application design Oracle 19c PL/SQL Fundamentals is a three-day, hands-on course that introduces Oracle database programming using the PL/SQL programming language. Throughout the course students will explore the core syntax, structure and features of the language. This course will also lay the foundation for the entire Oracle PL/SQL programming series, allowing one to progress from introductory topics to advanced application design and programming and finally onto writing complex high-performance applications. The course also explores applying the newly learned skills to the development of database applications. Participants will learn how to use database-resident stored program units such as procedures, functions, packages and database triggers. Students will also learn about the latest features in Oracle 19c. Selection & Setup of the Database Interface Considering Available Tools Selecting the Appropriate Tool Oracle Net Database Connections Oracle PAAS Database Connections Setup SQL Developer Setup SQL *Plus Setup JDeveloper About BIND and Substitution Variables Using SQL Developer Using SQL *Plus Choosing a Database Programming Language What is Database Programming PL/SQL Programming PL/SQL Performance Advantages Integration with Other Languages PL/SQL Language Essentials PL/SQL Program Structure Language Syntax Rules Embedding SQL Writing Readable Code Generating Readable Code Generating Database Output SQL * Plus Input of Program Block DECLARE Section About the Declare Section Declare Primitive Types Declaration Options Not Null Constant Data Dictionary Integration % Type Declare Simple User-Defined Types Type ? Table Type ? Record Extended User Defined Types BEGIN Section About the Begin Section Manipulating Program Data Logic Control & Braching GOTO LOOP IF-THEN-ELSE CASE EXCEPTION Section About the Exception Section Isolating the Specific Exception Pragma Exception_INIT SQLCODE &SQLERRM Example SQL%ROWCOUNT & Select ? Into Beyond the Basics : Explicit Cursors About Explicit Cursors Extend Cursor Techniques For Update of Clause Where Current of Clause Using for ? Loop Cursors Introduction Database Resident Programming Units About Database ? Resident Programs Physical Storage & Execution Types of Stored Program Units Stored Program Unit Advantages Modular Design Principles Creating Stored Procedures and Functions Stored Procedures & Functions Create Procedure / Create Function Creating Procedures & Functions Raise_Salary() Procedure Salary_Valid() function The Parameter Specification Default Clause System & Object Privileges Using the Development Tools Executing Stored Procedures and Functions Calling Procedures & Functions Unit Testing with Execute Anonymous Block Unit Testing Specifying a Parameter Notation SQL Worksheet Unit Testing Calling Functions from SQL Maintaining Stored Programming Units Recompiling Programs Mass Recompilation Using UTL_RECOMP() Dropping Procedures & Functions Drop Procedures & Functions Drop Procedure / Function Data Dictionary Metadata Using USER_OBJECTS Using USER_SOURCE Using USER_ERRORS Using USER_OBJECT_SIZE Using USER_DEPENDENCIES Managing Dependencies Dependency Internals Tracking Dependencies The Dependency Tracking Utility SQL Developer Dependency Info Dependency Strategy Checklists Creating & Maintaining About Packages Creating Packages Maintaining Packages Performance Considerations Advanced Package Capabilities Definer & Invoker Rights White Lists & Accessible By Persistent Global Objects Defining Initilization Logic Object Orientation Support Advanced Cursor Techniques Using Cursor Variables Using SYS_REFCURSOR Using Cursor Expressions Using System Supplied Packages DBMS_OUTPUT() UTL_FILE() FOPEN() Example Database Trigger Concepts About Database Triggers DML Event Trigger Sub-Types Database Trigger Scenario Trigger Exhaustion Mechanisms Trigger within SQL Worksheet Creating Database Triggers Statement Level Triggers Using Raise Application_Error() Row-Level Triggers Examples of Triggers Employee_Salary_Check Example Employee_Journal Example Budget_Event Example Instead of Triggers Triggers within and Application Maintaining Database Triggers Call Syntax Trigger Maintenance Tasks Show Errors Trigger Drop Trigger Alter Trigger Multiple Triggers for a Table Handling Mutating Table Issues Implementing System Event Triggers What are System Event Triggers Defining the Scope Available System Events System Event Attributes

Overview of Senior Project Manager - Construction In the UK construction industry, the role of a Senior Project Manager - Construction is more important than ever. With the industry contributing over £110 billion to the economy each year, there is a strong need for skilled professionals who can manage large and complex projects. This course is designed to help you become a confident Senior Project Manager - Construction, giving you the knowledge and tools to lead projects from start to finish. The course covers all key areas such as project planning, site management, budgeting, and risk control. Each module is carefully created to help you understand how to manage time, money, people, and materials effectively. Whether it’s working with engineers and architects or making sure health and safety rules are followed, you’ll learn how to keep everything on track. As a future Senior Project Manager - Construction, you’ll also focus on people skills like team leadership and communication, which are just as important as technical know-how. With changes in technology and a strong focus on building in a more sustainable way, construction projects are becoming more challenging. That’s why companies need a Senior Project Manager - Construction who can handle both the technical and human sides of the job. This course prepares you for that role, helping you grow your career while making a real difference in the construction world. By the end of this course, you will be able to: Use advanced project management methods in construction work Plan and manage resources effectively on building projects Handle cost planning and control throughout the project Set up strong health and safety rules for the worksite Build smart systems for buying materials and managing suppliers Solve problems with clear communication and strong leadership Who is this course for? This course is perfect for: Construction workers who want to grow into Senior Project Manager - Construction roles Site managers or supervisors who want to improve their skills in cost planning, buying materials, and managing teams Engineers and specialists moving into management who need people and communication skills Skilled workers aiming to take the next step with project management knowledge and health and safety skills Operations managers wanting a better understanding of how construction projects are managed Process of Evaluation After studying the Senior Project Manager - Construction Course, your skills and knowledge will be tested with an MCQ exam or assignment. 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 Senior Project Manager - Construction Course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. (Each) Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. (Each) Shipping Charges: Inside the UK: £3.99 International: £10.99 Requirements There is no prerequisite to enrol in this course. Career Path After completing this course, you can aim for roles such as: Senior Project Manager (Construction) – £55K to £75K per year Construction Operations Manager – £50K to £70K per year Site Development Manager – £45K to £65K per year Construction Programme Director – £65K to £90K per year Technical Construction Director – £70K to £95K per year Course Curriculum Module 01: Introduction To Project Management 00:23:00 Module 02: Project Life Cycle 00:29:00 Module 03: Effective Planning & Scheduling 00:47:00 Module 04: Managing Resources 00:18:00 Module 05: Procurement & Purchasing Management 00:23:00 Module 06: Introduction To Construction Management 00:15:00 Module 07: Site Management 00:18:00 Module 08: Construction Materials Management 00:18:00 Module 09: Vendor Analysis In Construction Management 00:24:00 Module 10: Supply Chain Management 00:21:00 Module 11: Communications, Information And Documentation Of Construction 00:21:00 Module 12: Elements And Factors Influencing Cost Estimation 00:16:00 Module 13: Cost Management 00:16:00 Module 14: Cost Estimation In Construction Industry 00:19:00 Module 15: Human Resource Management 00:22:00 Module 16: Performance Management 00:18:00 Module 17: Talent Management 00:18:00 Module 18: Conflict Management 00:14:00 Module 19: Communication Skills 00:25:00 Module 20: Time Management 00:40:00 Module 21: Quality Management 00:22:00 Module 22: Risk Management 00:24:00 Module 23: Health And Safety At Work And The Laws 00:28:00 Module 24: General Site Issues 00:16:00

Twitter Marketing for Profit Course Overview The "Twitter Marketing for Profit" course equips learners with the knowledge and strategies needed to leverage Twitter as a powerful marketing tool. It covers key aspects such as crafting effective tweets, growing a dedicated following, using analytics to improve engagement, and turning Twitter presence into tangible business profit. Designed for marketers and entrepreneurs, this course delivers real-world techniques and tactics for maximising Twitter's potential in boosting brand visibility and revenue. By the end, learners will have a clear understanding of how to create and manage a successful Twitter marketing campaign that drives measurable results. Course Description This course dives deep into the core principles of Twitter marketing, focusing on audience engagement, content creation, and analytics. Learners will explore topics such as optimising profile setups, developing content calendars, understanding Twitter algorithms, and implementing targeted advertising strategies. The course also introduces the importance of hashtags, influencer partnerships, and trends. Participants will gain insights into how to monitor campaign performance and adapt strategies accordingly. The course is structured to provide learners with a comprehensive understanding of Twitter marketing, helping them to drive engagement and achieve business goals effectively. Twitter Marketing for Profit Curriculum Module 01: Introduction to Twitter Marketing Module 02: Building a Twitter Strategy Module 03: Content Creation and Curation Module 04: Growing Your Audience and Engagement Module 05: Leveraging Twitter Analytics for Insights Module 06: Advertising on Twitter Module 07: Measuring Success and Adjusting Strategies (See full curriculum) Who is this course for? Individuals seeking to enhance their digital marketing skills. Professionals aiming to optimise Twitter for business growth. Beginners with an interest in social media marketing. Entrepreneurs wanting to promote their business via Twitter. Career Path Social Media Manager Digital Marketing Specialist Content Strategist Brand Manager Twitter Marketing Consultant

GRE Preparation - Verbal and Analytical Writing Course Overview: This course is designed to help learners prepare effectively for the GRE Verbal and Analytical Writing sections. Focusing on the key skills required for success in these areas, it equips learners with proven strategies to excel. By covering all aspects of verbal reasoning, reading comprehension, text completions, sentence equivalence, and analytical writing, the course provides in-depth preparation that leads to improved performance. Learners will develop their ability to analyse complex texts, improve their vocabulary, and refine their writing skills, essential for achieving a competitive GRE score. Course Description: The GRE Preparation - Verbal and Analytical Writing course provides comprehensive coverage of the verbal reasoning and writing sections of the GRE. It includes lessons on reading comprehension, the six critical question types, pivotal words, sentence structure, and writing techniques. The course utilises a variety of methods to strengthen analytical thinking, reading skills, and writing proficiency. Learners will acquire the tools to tackle both the Verbal and Analytical Writing sections effectively. Through structured content and engaging exercises, this course builds confidence and prepares individuals for the GRE with focused skill-building and practice. GRE Preparation - Verbal and Analytical Writing Curriculum: Module 01: Verbal Section – Orientation Module 02: Reading Comprehension Introduction Module 03: The Six Questions Module 04: Pivotal Words Module 05: The Three-Step Method Module 06: Text Completions Module 07: Sentence Equivalence Module 08: Writing (See full curriculum) Who is this course for? Individuals seeking to enhance their GRE score Professionals aiming to pursue graduate studies Beginners with an interest in GRE preparation Anyone looking to strengthen their verbal and writing skills for graduate-level tests Career Path Graduate school applicants Research assistants Academic advisors Educational consultants Policy analysts

Train the Trainer - Part 2 Course Overview: "Train the Trainer - Part 2" is designed for individuals who wish to elevate their training and presentation skills to the next level. This course offers in-depth guidance on how to maintain participant engagement, ensure clarity, and use effective communication techniques. Learners will explore advanced strategies for building rapport with their audience, refining their delivery style, and ensuring their messages are understood. By the end of this course, learners will be equipped with the tools to create more dynamic and impactful training sessions, fostering a deeper level of understanding and retention among participants. Course Description: This course delves into essential training strategies that enhance delivery and participant involvement. Learners will explore techniques for keeping the audience engaged, presenting material in a way that aids comprehension, and using non-verbal cues such as body language and tone to reinforce their message. The course covers strategies to help learners follow along, assess their understanding, and improve retention. By examining these core aspects, participants will develop advanced skills for delivering clear and memorable training. Upon completion, learners will be able to create a more effective learning environment and be prepared to engage with diverse audiences across various training settings. Train the Trainer - Part 2 Curriculum: Module 01: Introduction Module 02: Keep Them Engaged Module 03: Help Them Follow Along Module 04: Ensure They Understand Module 05: Use Effective Body Language and Tone (See full curriculum) Who is this course for? Individuals seeking to improve their training and presentation skills. Professionals aiming to enhance their teaching effectiveness. Beginners with an interest in becoming a more effective trainer. Anyone looking to engage audiences more effectively in a training environment. Career Path: Corporate Trainer Training and Development Specialist Learning & Development Coordinator Public Speaker Instructional Designer

Functional skills English Certification Course Overview The Functional Skills English Certification course is designed to enhance learners' command of English by improving key language skills essential for everyday communication and professional environments. It covers the fundamentals of grammar, sentence structure, punctuation, spelling, and common language errors, providing a well-rounded foundation in English. Learners will gain confidence in their reading, writing, and verbal communication, equipping them for a variety of roles in the workplace or further education. This certification is ideal for those looking to improve their English proficiency and meet the language standards required in various professional and academic settings. Course Description This course offers an in-depth exploration of the core components of English, starting with grammar and sentence structure. Learners will develop a strong understanding of punctuation, capitalisation, and spelling to enhance their writing accuracy and clarity. The course also addresses common language mistakes and offers strategies for improvement. Throughout the course, learners will engage with interactive content, building their knowledge and applying it to real-world scenarios. By the end, students will have gained the necessary skills to communicate effectively in both written and spoken English, empowering them to succeed in academic, professional, and social settings. Functional skills English Certification Curriculum Module 01: Introduction to the Course Module 02: The Basics of Grammar Module 03: The Basics of Sentence Module 04: Structure of Sentence Module 05: Question Module 06: Punctuation & Capitalisation Module 07: Spelling Module 08: Common Mistakes & Ways to Improve (See full curriculum) Who is this course for? Individuals seeking to improve their English language proficiency Professionals aiming to enhance their communication skills Beginners with an interest in mastering the English language Those preparing for English exams or certifications Career Path Administrative Assistant Customer Service Representative Teacher or Tutor Content Writer Communication Specialist Copywriter Public Relations Officer

Dealing With Difficult People Training Course Overview The "Dealing With Difficult People Training Course" equips learners with the essential skills to manage challenging interactions effectively. This course focuses on understanding the root causes of difficult behaviours, improving communication strategies, and applying techniques to maintain professionalism. Learners will gain valuable insight into handling conflicts, reducing stress, and fostering positive relationships in both personal and professional settings. The course is designed to enhance interpersonal skills, build resilience, and provide practical tools for managing difficult individuals in various environments. Course Description This course delves into essential strategies for managing difficult people and challenging interactions. Topics covered include understanding the psychology of difficult behaviour, mastering communication techniques, and building effective coping mechanisms for stress. Learners will explore practical tips for improving relationships, solving problems, and applying conflict-resolution strategies in real-life situations. The course also includes a bonus video focusing on managing emotions and anger, providing additional insight into emotional intelligence. By the end, learners will have developed a comprehensive toolkit for managing difficult people in various contexts, from the workplace to personal life. Dealing With Difficult People Training Course Curriculum Module 01: Difficult Promo Module 02: Fundamentals Module 03: Foundational Tips and Tools Module 04: Difficult People – Relationships Module 05: Difficult People – Solutions Module 06: Problem-Solving Module 07: Final Notes and Tips Module 08: Bonus Video – Dealing With Emotions & Anger (See full curriculum) Who is this course for? Individuals seeking to improve their interpersonal communication skills. Professionals aiming to manage challenging behaviours in the workplace. Beginners with an interest in conflict resolution or psychology. Anyone looking to enhance their emotional intelligence and resilience. Career Path Human Resources Specialist Customer Service Manager Conflict Resolution Specialist Team Leader/Manager Counselling and Therapy Roles Customer Support Representative