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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

**Entrepreneurship and Business Start-Up - CPD Accredited Course - Free Certificate** Starting your own business can seem daunting, but with the right tools and knowledge, the journey becomes far more manageable. Our Entrepreneurship and Business Start-Up Course provides you with everything you need to lay the foundation for a successful business, no matter the industry. Learn how to navigate the complexities of starting a business, from identifying a solid idea to establishing your brand and managing operations. By the end of the course, you’ll be equipped to tackle the challenges that every entrepreneur faces with confidence. This course doesn't just cover the theory; it ensures you're prepared for the challenges of the business world. With a focus on practical knowledge, you'll gain the ability to develop your business strategy, understand the financial aspects of running a company, and learn the art of managing growth effectively. Whether you're working on your first business venture or refining an existing idea, this course offers the essential insights to help you succeed in a competitive market. Ready to dive into the world of entrepreneurship? Let’s help you turn that idea into something real—without any fluff, just pure business know-how. Key Features: The key features of Entrepreneurship and Business Start-Up: This Entrepreneurship and Business Start-Up Course is CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases of Entrepreneurship and Business Start-Up Course Course Curriculum: The Course Curriculum of Entrepreneurship and Business Start-Up Course: Module 01: Introduction to Entrepreneurship Module 02: Idea Generation and Opportunity Recognition Module 03: Business Planning and Strategy Development Module 04: Market Analysis and Customer Insights Module 05: Financial Planning and Management Module 06: Legalities and Business Structure Module 07: Sales, Marketing, and Branding Module 08: Operational Management and Logistics Module 09: Team Building and Leadership Module 10: Challenges, Risks, and Crisis Management Module 11: Digital Tools and Resources for Entrepreneurs Module 12: Sustainability and Social Entrepreneurship Module 13: Networking, Mentoring, and Growth Learning Outcomes of Entrepreneurship and Business Start-Up: Identify entrepreneurial opportunities and foster innovative idea generation for Entrepreneurship success. Develop strategic business plans, integrating market analysis and customer insights. Master financial planning, ensuring effective resource management for sustainable growth. Navigate legalities and choose optimal business structures for long-term viability. Excel in sales, marketing, and branding strategies to drive business visibility. Cultivate operational efficiency, build strong teams, and lead with effective leadership. Accreditation This Entrepreneurship and Business Start-Up course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this Entrepreneurship and Business Start-Up course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring entrepreneurs can enroll this Entrepreneurship and Business Start-Up course Individuals seeking comprehensive knowledge on Entrepreneurship and Business Start-Up. Professionals interested in mastering legal aspects and optimal business and entrepreneurship structures. Marketing enthusiasts aiming to excel in sales, entrepreneurship, and brand development. Leaders and team builders eager to strengthen team dynamics, leadership and entrepreneurship skills. Career path Entrepreneur or Business Owner Marketing and Sales Manager Financial Analyst or Manager Operations Manager Legal Consultant for Businesses Sustainability and Social Entrepreneurship Consultant 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.

Money talks—and in this Finance & Investment Course, it actually makes sense. Whether you're someone who reads the financial pages for fun or someone who still confuses stocks with socks, this course is tailored to give you a clearer understanding of how money works, grows, and flows. From basic budgeting and personal finance principles to the strategic side of investing, we break down the world of finance without turning it into a sleep-inducing spreadsheet session. It’s structured for those who want to make sharper financial choices, without needing a maths degree or a tie. The Finance & Investment Course also explores investment strategies, market movements, risk factors, and portfolio planning—minus the waffle. You’ll gain insights into stocks, bonds, funds, and more, in plain English. There’s no need to dress up for class or fight traffic to a lecture hall—everything is online, smartly written, and designed to suit your pace. If you’ve ever wondered where your money goes, or better yet, how to make it go further, this is your chance to learn with confidence and a few light chuckles along the way. Learning Outcomes By the end of the course, learners will be able to: Gain a thorough understanding of the financial industry and financial concepts Know the roles and responsibilities and gain the skills required to become a financial advisor Know how private wealth management is different from wealth management Learn about financial risks, financial risk management and the process of managing financial risks Gain in-depth knowledge on financial planning, its importance and objectives Become familiar with divorce financial planning, how to divide the money and property from splitting divorce costs and settlements Understand the basic principles of investing and how to build an investment portfolio Find out about Google Analytics, its features and uses Key Features of this Course : Instant e-certificate and hard copy dispatch by next working day 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 Discounts on bulk purchases *** Additional Gifts *** Free Life coaching Course *** (Offer Ends Soon) *** Course Curriculum The detailed curriculum outline of our Finance & Investment course is as follows: ***Finance & Investment*** Module 01: Introduction to Finance Module 02: Essential Skill for Financial Advisor Module 03: Financial Planning Module 04: Wealth Management and Guide to Make Personal Financial Statements Module 05: Financial Risk Management and Assessment Module 06: Investment Planning Module 07: Divorce Planning Module 08: Google Analytics for Financial Advisors Accreditation All of our courses, including this course, are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certification Once you've successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we do recommend that you renew them every 12 months. Assessment At the end of the course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven't, there's no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself. Who is this course for? Anyone with a knack for learning new skills can take this course. While this comprehensive training is popular for preparing people for job opportunities in the relevant fields, it also helps to advance your career for promotions. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the hard copy certificates for Free! The delivery charge of the hard copy certificate inside the UK is £3.99 each.

Every workplace incident tells a story—and knowing how to read it makes all the difference. This CPD Accredited Accident Investigation Course is tailored for individuals who want to confidently understand the causes behind accidents and near misses, helping to reduce future risks and improve organisational safety culture. Delivered in a structured, self-paced format, it’s designed to sharpen your awareness and guide you through the full investigation process—from initial response to root cause analysis and corrective measures. Whether you're responsible for health and safety, part of a management team, or simply want to add valuable knowledge to your professional toolkit, this course ensures you’re equipped with the theory and insight needed to handle accident investigations with confidence. With a focus on clarity, critical thinking, and accountability, it takes the complexity out of incident analysis while maintaining a serious tone where it matters. Enrol today and gain the knowledge that speaks volumes in boardrooms, risk assessments, and safety briefings alike. Still not convinced? Take a glimpse of the key benefits you'll get with - Lessons prepared in collaboration with Professionals User-friendly Learner Management System (LMS) Syllabus designed in line with the standards of the UK Education System Updated Study Materials focusing both on Knowledge and Skill based training Guidance to expand in 'a' territory and move forward with Accident Investigator profession Free Assessment to test learners' knowledge and skills Accredited learning and widely recognised certificate from reputed CPD Accreditation Bodies Key Features of this Accident Investigation Course: CPD Accredited Accident Investigation Course Instant 2 PDF certificate Fully online, interactive Accident Investigation Course. Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum: Module 01: Understanding the Investigation Module 02: Why Investigate? Module 03: Accident Investigation Procedure Module 04: Documenting The Accident Scene Module 05: Conducting Effective Interviews Module 06: Investigation and Cause Analysis Module 07: Developing Solutions Module 08: Report Documentation and Communication Accredited Certificate After successfully completing this Accident Investigation - CPD Accredited course, you will qualify for the CPD Quality Standards (CPD QS) certified certificate from Training Express. CPD 10 CPD hours / points Accredited by The CPD Quality Standards Who is this course for? This Accident Investigation Course can be taken by anyone who wants to understand more about the topic. With the aid of this Accident Investigation course, you will be able to grasp the fundamental knowledge and ideas. Additionally, this Accident Investigation Course is ideal for: Health and safety professionals seeking enhanced investigation skills. Managers responsible for workplace safety and compliance. Employees designated as safety representatives. Individuals pursuing careers in accident investigation. Organisations aiming to improve their safety protocols. Requirements Learners do not require any prior qualifications to enrol on this Accident Investigation Course. You just need to have an interest in Accident Investigation Course. Career path After completing this Accident Investigation Course you will have a variety of careers to choose from. The following job sectors of Accident Investigation Course are: Health and Safety Manager - £35K to 60K/year. Accident Investigator - £30K to 50K/year. Compliance Officer - £25K to 45K/year. Risk Assessment Consultant - £28K to 55K/year. Safety Trainer - £30K to 48K/year. 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

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.

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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 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