Understanding mental health is an essential part of fostering a supportive environment for students. This course on Mental Health Awareness in the School aims to provide valuable insights for school staff, educators, and anyone working within the educational setting. It focuses on recognising signs of mental health challenges in students, promoting emotional well-being, and equipping school staff with the knowledge to support students in distress. The course is designed to raise awareness and offer practical information that can be integrated into daily school life to help create a positive and inclusive atmosphere. Through engaging content, learners will gain a deep understanding of mental health issues commonly faced by students in school settings. The course explores key topics such as stress, anxiety, depression, and other mental health conditions, offering effective strategies for recognising and responding to these challenges. It also encourages developing a supportive, empathetic approach when dealing with students who may be struggling. By completing this course, school staff will be better prepared to handle sensitive situations with confidence, ensuring a safe and caring environment for all students. Good luck with your learning journey! 4o mini Key Features CPD Certified Instant e-certificate Fully online, interactive course with audio voiceover Developed by professionals in the field Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Explore a thorough programme that addresses many facets of mental health awareness. Start by investigating various mental health conditions and becoming familiar with their telltale signs and symptoms. Proceed to comprehend the effects of these diseases in various contexts, such as personal relationships and the workplace. Learn effective coping mechanisms for stress and anxiety, and then dive deeply into mood, personality, eating, and sleep issues. Investigate methods to stop self-harm and suicide, and culminate in creating a mental health toolkit for overall wellness. Every lesson has assessments to help guarantee understanding and reinforce what has been learned. Course Curriculum: Module 01: Introduction to Mental Health Awareness Assessment Module 01 Module 02: Mental Health in the Workplace Assessment Module 02 Module 03: Stress and Anxiety Disorders Assessment Module 03 Module 04: Mood and Personality Disorders Assessment Module 04 Module 05: Eating and Sleeping Disorders Assessment Module 05 Module 06: Self-Harm and Suicide Assessment Module 06 Module 07: Mental Wellbeing Toolkit Assessment Module 07 Learning Outcomes: Identify signs and symptoms of common mental health disorders. Develop strategies for managing stress and anxiety effectively. Understand the complexities of mood and personality disorders. Recognize the impact of eating and sleeping disorders on mental health. Implement preventive measures for self-harm and suicide. Utilize resources from the Mental Wellbeing Toolkit for self-care and support. 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%. CPD 10 CPD hours / points Accredited by The CPD Certification Service Who is this course for? Educators seeking to support students' mental health. Healthcare professionals aiming to enhance their understanding of mental health. Human resources personnel committed to fostering a positive workplace environment. Parents and caregivers wanting to better support loved ones' mental wellbeing. Individuals passionate about promoting mental health awareness in their communities. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Mental Health Support Worker Counsellor Psychiatric Nurse Occupational Therapist Social Worker Mental Health Advocate 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 workshop will help you create, develop and close business opportunities using a consultative approach and a value-based (not price-led) proposition. Value-based selling means working the way your customer wants to buy, not how you want to sell. It also means: In a transactional sale the customer knows the answer without help from a salesperson (or cannot see why they should choose you), or is prepared to stay with what they have. Customer decision criteria are price and convenience and customers resent time spent with (new) salespeople, mainly because the salesperson adds little or nothing to what the customer already has and just wastes time. In a consultative or value-based sale, by contrast, the customer doesn't know the answer already. The salesperson must take the role of an advisor, not just a 'product promoter'. Customers demand expertise, advice and customisation during the sales process. Often customers insist on multiple meetings with salespeople and others to develop advantages that you can bring and reduce the perceived risk of changing. In this way the salesperson often adds more value than the product or service alone. This very practical workshop will help you use proven strategies and tactics to build, manage and successfully close sustainable business opportunities using a consultative approach and a value-based (not price-led) proposition. This includes: Increased impact of your new sales conversations, presentations and proposals - leading to faster decisions and increased conversion Greater confidence, consistency and professionalism throughout the business development process Enhanced sales questioning skills and techniques, leading to better, faster and more accurate development of customer needs, problems, value and expectations Improve your people, communication, influence and persuasion skills when approaching, consulting or presenting your services and solutions How to build value at all points in the customer's buying process through your knowledge, skills and structured approach Proven ways to gain additional business and referrals from existing customers and contacts, through direct approach and lead generation Being better able differentiate your firm, your solutions, track-record and expertise clearly and accurately with tailored value statements for each stage and for each opportunity Overcome and avoid price-based objections, buying criteria and negotiation 1 Introduction and key principles of value-based selling Introduction and review of pre-course questionnaires - KPIs, personal learning objectives and key principles The main principles of value-based selling and how they benefit you and the customer How value-based selling differs from 'transactional' or 'price-based' selling The stages of the customer's buying cycle - how to identify and work through strategies for each stage The concept of structured and set-piece selling and proposing Presentation by participants: Personal sales improvement goals 2 Value-based selling strategies and skills What is value? How can one move away from a price-led agenda? How to survive and resist price pressure - six techniques A review of key competencies and skills needed for a value-based approach Strategies, case studies and examples with discussion and review Defining your initial value proposition and comparative advantage How best to established the right level of trust, rapport and credibility Planning and practice session: Strategy - mapping a value-based sales process. 3 Connecting skills Research before the meeting and the first few minutes - ways to gain instant rapport and setting the foundation for a successful outcome in a first sales call How to structure an effective first time sales call or meeting - the subtle differences that are important to master How best to differentiate your solutions and build credibility and enthusiasm early or at the start of the buying process Overcoming initial buying resistance and relaxing the prospect; gaining rapport, opening the meeting: PBC (purpose-benefit-check) and gaining agreement to proceed Planning and practice session: Connecting - first meeting with a new contact 4 Consulting - building, developing and influencing client needs Understanding the power of high-impact and third-level questions to influence people based around specific needs and solutions The importance of body language and other personal communication dynamics when asking questions; empathic listening, run-on questions, drawing out skills, summarising, etc Creating a 'disturb' approach to creating needs and opportunities and positioning your solutions Using proven advanced sales questioning techniques with greater skill: Outcome, SPIN and qualification questions 'Decision-making criteria' - tools to help you develop the relevant criteria with the customer and in doing so progress your sales opportunities more effectively Planning and practice session: Questioning skills 5 Convincing - presentation and persuading skills practice Substance and style - selecting the right tone and content to engage and enthuse your prospect Compelling benefits and reducing perceived risk - key messages to deliver Helping the customer choose your proposition - by being convincing, compelling and credible when you present Professional and effective presentation skills - with personal coaching and practice sessions The keys of influence and persuasion and the keys to convincing a new customer to choose you for the first time Planning and practice session: Role-play in presenting your solution 6 Commitment Knowing when and how to close for commitment to the next stage in your sales process, plus ways to ask for commitment professionally and effectively How to isolate, prioritise and answer objections and concerns more openly and accurately, using a consultative not a confrontational approach Deal more effectively and profitably with price objections and reduce buyer's remorse (which can lead to an 'I want to think about it' reaction and cause delay and inertia) Key negotiation skills around the closing process - getting to 'yes' Planning and practice session: Role-play in closing and negotiation skills 7 Assessed role-play - Final practice session Live role-plays There is an option for external participants to be brought in to the live training workshop to take-part in the final assessed role-play or assist with other sessions run during the course. Performance assessment - 'Dragon's Pitch' The final afternoon of the course is an assessed role-play using a prepared scenario and external 'CEO'. The assessment criteria will be agreed prior to the workshop. 8 Workshop summary and close Personal action plan and learning summary
Our self-leadership and executive development programme can be fully ITA SDS funded supporting leaders and business owners and creating a growth plan. SDS INDIVIDUAL TRAINING ACCOUNTS (ITA) Rely On Our Team for Your Executive Development The Power Within Training offers unrivalled executive development training for go-getters and self-starters throughout England and Scotland. Did you know that approximately 55% of people making their living in sales don’t have the right skills to be successful? Good sales skills are some of the rarest and most sought-after skills in the workforce. Whether you’re running a business, looking to progress further in your career or want to sharpen your skills before returning to work, our self-leadership training will help you develop the skills you need to succeed. After completing our executive development training, you’ll have a sales mindset and the skills to secure your ideal role, perform better, and utilise high-payoff action-planning techniques. Don’t hesitate to contact us to learn more information. OUR TRAINING SOLUTIONS What is Self-Leadership Executive Training? Self-Leadership Development Our self-leadership development course was designed to give you total control of your career, business, and professional life. Most professionals will spend more than 80% of their time at work or in business. We’ve structured our executive training to help those looking to enhance their career prospects or business success by taking advantage of our unique Motivational Intelligence seven steps to success framework. The seven-step success system will take you through a journey of self-discovery, self-awareness, and self-development, which enables you to understand the barriers and self-limiting obstacles that have been holding you back. The Power Within’s self-leadership training will guide you through overcoming these barriers and eliminating them from your life. If you are looking to stand out from the crowd and build a career or business you can be proud of, then this live classroom-based programme is definitely for you. Benefits of Self-Leadership Development The self-leadership training has been designed from the ground up to inspire, guide, and develop you into not only achieving your goals but being able to measure success in your career, help you find your dream job, and help make an immediate impact in everything you do. Completing our executive leadership development course will allow you to utilise emotional intelligence to get the best of your team while focusing on clear values and principles that increase your overall success and profitability. Working on your self-leadership skills will grant you greater insight into the factors hindering or impacting your success while giving you the tools to make decisions and get into action. Here are some additional benefits of our self-leadership training: Build Awareness – When you’re a leader, you must inspire and motivate people to achieve and go after the bigger picture for your organisation. You’ll need an effective and flexible leadership style to ensure your team succeeds. We’ll help you discover your leadership style and how you can use it effectively to the advantage of your business. Increase Team Engagement, Motivation, and Accountability – How can you expect your team to behave if you’re no longer motivated to succeed? The Power Within will give you the tools to keep striving toward success while ensuring your business is focused and motivated. Cultivating a High-Performance Culture – The right high-performance culture installs peak performance into every team member. Through our executive development, you’ll be able to help each reach their targets while they look for ways to improve constantly. Develop Strategic Skills – We’ll help you develop leadership skills and self-improvement goals, allowing you to introduce changes to your business based on your guiding visions while encouraging others to share the same vision. If you are looking to stand out from the crowd and build a career or business you can be proud of, then this live classroom-based programme is definitely for you. What Are the Key Skills Learned from Executive Development Training One of the first sets of vital skills for self-leadership you’ll learn is the ability to stop, step back, and reflect on the things that trigger us to react. When we react, we’re being controlled by the trigger. Another skill we’ll help instill is to consider intention. Intention is important to us, such as our values and what we’re trying to achieve. When you become intentional, you start to live a life of choice. Self-leadership and executive development are a journey. The more self-leadership we attain, the more successful we’ll become. The more successful we become, the more self-leadership we need. Here are some additional critical skills you’ll learn from our self-leadership training: Self-Awareness – It’s vital to hone your ability to see yourself as clearly as you are. This skill takes dedication, introspection, and mindfulness. Also, a dose of self-awareness helps with self-control, self-confidence, and feelings of validation. Overall, you should be open to critique and accountability. Goal Setting – A good self-leader must be proactive in not only identifying their goals but how to reach those goals in a manageable manner. Our executive development training will teach you how to break down a larger goal into more attainable steps to avoid burnout while helping you celebrate smaller milestones. Self-Motivation – A classic way to handle self-motivation is to divide long-term goals into smaller, more attainable ones. This optimization means recognising what about the goal that appeals to you, then forming a strategy that aligns with your strengths and values toward that goal. Constructive Thought Patterns – Through our leadership skills and self-improvement course, you’ll be able to review your performance and assess your intentions and effectiveness while providing an opportunity to ensure your strategies are geared towards success. This is done by focusing on improving strengths and the mental imagery of yourself that recognizes your capacity to grow, develop, and change. Self-leadership training teaches you to see yourself as having the ability to create, improvise, innovate, and adapt. OUR LIVE WORKSHOPS ARE BACK What’s Covered in Our Executive Development? Self-Leadership "It's a mindset thing" When you undergo our self-leadership training, you’ll experience several modules designed to allow your conscious and subconscious belief systems to work together for a predetermined goal or set of outcomes. Self-leadership is one skill that will significantly impact your career, team, and even your life’s happiness. Our executive leadership development course promotes bold and powerful decisions to get you back into the driver’s seat of your life and make the best of each day by setting goals, shifting your mindset, and finding your purpose. During each module, we’ll work with you and help you design and deliver your team leadership programmes catered to your team and your business dynamic. Our goal is to allow you to evolve into a bigger and better leader. Here are some of the modules in our self-leadership training: Unleash Your True Potential Create Your Personalised 7-Step Success Framework Peak Performance and Self-Mastery Growth Mindset and Mindset Performance The Power of Feedback Taking Back Control of Your Personal & Professional Journey Goal Setting & Defining If you are looking to stand out from the crowd and build a career or business you can be proud of, then this live classroom-based programme is definitely for you. Discover Who’s Leading Our Self-Leadership Training James Fleming, the co-creator of The Power Within, will lead your self-leadership training. James founded The Power Within with his wife, Enas Fleming. They wanted to inspire people around the world to think better, be better and achieve more. James believes that everyone can be whatever they set their minds to. Founding The Power Within allowed James to turn that deep knowledge into a business that helps others think bigger, better, and achieve more daily. He strives to give leaders the tools and knowledge to achieve their full potential while increasing their self-confidence and self-belief through Motivational Intelligence Revolution. James wants to support today’s businesses to become tomorrow’s leaders. Course Overview Our self-leadership development course is a quick-paced training that is between eight and twelve hours in length. After you attend the face-to-face workshops, you’ll be given access to our online self-leadership training portal. This allows you to continue your journey of self-development by ensuring you’ll always have a system and process to fall back on when you need it. One of the best parts of our executive development course is that you receive this information fully funded. Even if you aren’t eligible for funding, you can still invest in this course and begin a new chapter of professional development for yourself. Elevate yourself if any of our eligibility requirements apply and you early less than 22,000 a year.
Overview In the dynamic world of property sales, becoming a successful estate agent requires more than just basic knowledge; it demands a comprehensive understanding of the industry. Our Real Estate Agents | Online Course offers an in-depth exploration of all essential aspects of real estate, equipping you with the skills needed to excel as an estate agent. From mastering property valuation and market analysis to learning advanced negotiation techniques, this course is designed to prepare you for a thriving career in real estate. Our online course provides flexible learning options, allowing you to gain expertise in key areas such as property management, client relations, and legal regulations affecting estate agents. With engaging content and practical insights, you'll develop the knowledge and confidence needed to navigate the real estate market and advance your career as a top-notch estate agent. Enrol today and take the first step towards becoming a successful real estate professional. Key Features of the Course: FREE Real Estate Agents CPD-accredited certificate Get a free student ID card with Real Estate Agents training (£10 applicable for international delivery) Lifetime access to the Real Estate Agents course materials The Real Estate Agents program comes with 24/7 tutor support Get instant access to this Real Estate Agents course Learn Real Estate Agents training from anywhere in the world The Real Estate Agents training is affordable and simple to understand The Real Estate Agents training is entirely online 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 Real Estate Agents | Online Course 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 Real Estate Agents | Online Course. It is available to all students, of all academic backgrounds. Requirements Our Real Estate Agents | Online Course 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 Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 4 sections • 13 lectures • 07:30:00 total length •Module 1: Estate Agent: An Introduction: 00:04:00 •Module 2: Different Types of Estate Agents: 00:04:00 •Module 3: Getting Started on the Job: 00:04:00 •Module 4: Listing Property: Finding the Sellers: 00:05:00 •Module 5: Valuation Process: 00:05:00 •Module 6: Negotiating as Estate Agent: 00:05:00 •Module 7: Selling Property: Finding the Buyers: 00:05:00 •Module 8: Letting Property: 00:06:00 •Module 9: Technology for Estate Agents: 00:07:00 •Module 10: Regulation of Estate Agents: 00:05:00 •Additional Reading Materials - Real Estate Agents: 06:00:00 •Mock Exam - Real Estate Agents | Online Course: 00:20:00 •Final Exam - Real Estate Agents | Online Course: 00:20:00
Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies
Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently