1071 Data Analysis courses in Cardiff delivered Online

This course offers you the exact skills and principles you need to deliver a project using Python along with the tools you can use to create solid Python code. Master the language constructs, tools, and terminology with this carefully designed course for beginners.

Buy Big. Save Big! Save: £403! Offer Ends Soon; Hurry Up!! Want to learn Accountancy? This course will guide you in the right direction in the field of Accounting. Enrol in this comprehensive course and make yourself one step closer to achieving your career goal. This course includes: Introduction to Accounting The Role of an Accountant Accounting Concepts and Standards Double-Entry Bookkeeping Balance Sheet Expand your expertise with high-quality training - study the and get an expertly designed, great value training experience. Learn from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career through this online training course. This course is endorsed by The Quality Licence Scheme and accredited by CPD (with 150 CPD points) to make your skill development and career progression related to Accountancy substantial and easier than ever! This course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. Upon successful completion of this course, you will receive an instant e-certificate as proof of the comprehensive skill development and competency. Add these amazing new skills to your resume and boost your employability by simply enrolling on this course. You will fulfil your dreams and prepare for your ideal career by taking this intensive this course. This course offers students an in-depth learning experience that they can work through at their own pace to advance their careers. This same course will teach you everything you need to know to advance in your chosen field. You'll get a free Student ID card by enrolling in this course. This ID card entitles you to discounts on bus tickets, movie tickets, and library cards. Enrolling in this course will help you find your dream career sooner than you ever imagined. With this program, you will stand out from the crowd and prepare for the career you want. Experts created this course to provide a rich and in-depth training experience for all students who enrol in it. Enrol in this course right now, and you'll have immediate access to all of the course materials. Then, from any internet-enabled device, access this course materials and learn when it's convenient for you. Start your learning journey straight away with this course and take a step toward a brighter future! Why Prefer this Course? Opportunity to earn a certificate endorsed by the Quality Licence Scheme and another certificate accredited by CPD after completing this course. Student ID card with amazing discounts - completely for FREE! (£10 postal charges will be applicable for international delivery) Standard-aligned lesson planning Innovative and engaging content and activities Assessments that measure higher-level thinking and skills Complete the program in your own time, at your own pace Each of our students gets full tutor support on weekdays (Monday to Friday) Diploma in Accountancy at QLS Level 5 Module 01: Introduction to Accounting What Is Accounting? Accounting and Bookkeeping Who Uses Accounting Information? Accountability in Accounting Financial Statements How Different Business Entities Present Accounting Information Module 02: The Role of an Accountant What Is an Accountant? Roles and Responsibilities Important Skills Accounting Automation Transparency and Security Data Analysis Module 03: Accounting Concepts and Standards Introduction to Accounting Concepts Introduction to Accounting Standards Accounting Standards in the UK International Standards International Financial Reporting Standards Module 04: Double-Entry Bookkeeping Introduction of Double-Entry Bookkeeping What Does the Account Show? Account NameDebits and CreditsAccount Details Rules for Double-Entry Transactions Inventory Double-Entry Transactions for Inventory Returns of Inventory Drawings Income and Expenses How Many Different Expense Accounts Should Be Opened? Balancing Accounts General Rules for Balancing Accounts Module 05: Balance Sheet Introduction of Balance Sheet The Components of a Balance Sheet AssetsLiabilitiesNet Worth or Equity The Equation Understanding the Balance Sheet What Does the Date on the Balance Sheet Mean? Module 06: Income statement Understanding the Income Statement The Accrual Concept Revenue Expenses Net Income Interest and Income Taxes Bad Debt Expense Module 07: Financial Statements Introduction of Financial Statements Trial Balance Statement of Comprehensive Income Calculation of Profit Difference between Gross and Net Profits Trading Account Profit and Loss Account Statement of Financial Position Non-Current AssetsCurrent AssetsCurrent LiabilitiesNon-Current LiabilitiesCapital Module 08: Cash Flow Statements What Is a Statement of Cash Flows? What Is the Purpose of the Cash Flow Statement? Cash and Cash Equivalents Operating Activities Investing Activities Financing Activities Module 09: Understanding Profit and Loss Statement Introduction of Profit and Loss Account Measurement of Income Relation Between Profit and Loss Account and Balance Sheet Preparation of Profit and Loss Account Module 10: Financial Budgeting and Planning What Is a Budget? Planning and Control Advantages of Budgeting Developing the Profit Strategy and Budgeted Profit and Loss Statement Budgeting Cash Flow from Profit for the Coming Year Capital Budgeting Module 11: Auditing What Is an Audit? Types of Audits External AuditsInternal AuditsInternal Revenue Service (IRS) Audits Why Audits? Who's Who in the World of Audits What's in an Auditor's Report Assessment Process We offer an integrated assessment framework to make the process of evaluation and accreditation for learners easier. You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the exams. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Is This Course Right for You? Anyone interested in learning more about this subject should take this course. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. All are welcome to take this course. There are no prerequisites for enrollment, and you can access the course materials from any location in the world. This course is preferable for people who want to pursue a career in Aspiring Accountant Recent Graduates Individuals interested in building a career in this sector Individuals working in the relevant field Professionals who have rooms to improve skills and knowledge Requirements This course does not require any prior knowledge; everyone may participate! This course is open to anyone who is interested in learning from anywhere in the world. Every student must be over the age of 16 and have a passion for learning and literacy. This 100% online course can be accessed from any internet-connected device, such as a computer, tablet, or smartphone. This course allows you to study at your own speed while earning an industry-recognized certification. Career path This course will allow you to kickstart or take your career in the related sector to the next stage. Our whole course will assist you in achieving a position of respect and dignity, as well as allowing you to gain an advantage over your competitors. The certificate will strengthen your CV and assist you in finding work in the related industry. Certificates CPD Accredited Certificate Digital certificate - £10 Diploma in Accountancy at QLS Level 5 Hard copy certificate - £119 After successfully completing the Diploma in Accountancy at QLS Level 5 course, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 119 GBP inside the UK 129 GBP (including postal fees) for international delivery CPD Accredited Certificate 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (international delivery)

Deal Price is Active Now; Save £401! Offer Ends Soon, Hurry Up!! Have you ever wondered how illegally embezzled money finances significant projects? Did you ever think about how luxury properties are purchased by using illegal money? And how organisations can prevent money laundering systematically? Then, this course is your ultimate guide to Anti Money Laundering (AML). So enrol today, accomplish the knowledge that will drive your career forward and get ahead of the curve! This Anti-Money Laundering course encompasses discrete topics from terrorist financing framework to customer due diligence checks and processes, demonstrating your understanding of the characteristics of a money laundering reporting officer. Through this course, you will explore how illegal activities affect the economic and social aspects and the different methods of money laundering. In addition, after completing this course, you will be able to plan and execute a risk-based approach to minimise financial crimes in organisations. Again, this course prepares you to apply the policy and procedures for reporting suspicious activity. Furthermore, the course will equip you with the ability to inspect the structures of a non-bank financial institution, insurance companies, financial statements, record keeping, and many more. That's not all though, after completing this course, you will illustrate perception on problem-solving, data analysis, and decision making, which will help you to master the related job responsibilities. With 24/7 student support offered to you on the course , you can be sure of quick and comprehensive assistance whenever you need it. You'll get a Free Student ID card by enrolling in thiscourse. This ID card entitles you to discounts on bus tickets, movie tickets, and library cards. What will I learn from this Anti Money Laundering course? An overview of the money laundering framework Acknowledge the proceeds of crime act 2002 Understand the principles of anti-money laundering regulations Demonstrate knowledge on the role of a money-laundering report officer How to assess and conduct an assessment of client's financial information The elements of customer due to diligence programme AML record-keeping standards in the UK Techniques to identify the risk associated with the financial transaction On top of everything, you will get a certificate which will help make a mark for yourself in the competitive job market. This certificate will also help you create an impression of self-reliance and dedication that will surely attract prospective employers to prioritise your job application. Enrol in this course today and open doors to enchanting career opportunities ahead. Why should you choose Anti-Money Laundering Course with Academy for Health & Fitness? Opportunity to earn a certificate accredited by CPD after completing this course Student ID card with amazing discounts - completely for FREE! (£10 postal charges will be applicable for international delivery) Globally accepted standard structured lesson planning Innovative and engaging content and activities Assessments that measure higher-level thinking and skills Complete the program in your own time, at your own pace Each of our students gets full 24/7 tutor support Experts created the Anti-Money Laundering? course to provide a rich and in-depth training experience for all students who enrol in it. Enrol in the course right now and you'll have immediate access to all of the Anti-Money Laundering? course materials. Then, from any internet-enabled device, access the Anti-Money Laundering? course materials and learn when it's convenient for you. Start your learning journey straight away with this Anti-Money Laundering? course and take a step toward a brighter future! *** Course Curriculum *** Here are the topics you will cover on the Course: >> Anti Money Laundering (AML) Course << Module 01: Introduction to Money Laundering Module 02: Proceeds of Crime Act 2002 Module 03: Development of Anti-Money Laundering Regulation Module 04: Responsibility of the Money Laundering Reporting Officer Module 05: Risk-based Approach Module 06: Customer Due Diligence Module 07: Record Keeping Module 08: Suspicious Conduct and Transactions Module 09: Awareness and Training Here is the module breakdown of Anti Money Laundering (AML) Course ----------- Module 01: Introduction to Money Laundering What Is Money Laundering? Turning 'Bad' Money into 'Legitimate' Money How Is Money Laundered? Why Are AML Efforts Important? The Three Stages of Money Laundering Module 02: Proceeds of Crime Act 2002 Introduction The Principal Offences Contained in Part 7 of POCA 2002 The Notion of Criminal Property Elements of Criminal Property The Concept of Knowledge The Notion of Suspicion Module 03: Development of Anti-Money Laundering Regulation Introduction The First Money Laundering Directive Terrorism legislation The Proceeds of Crime Act 2002 and Serious Organised Crime and money laundering offences under the Police Act 2005 The Second Money Laundering Directive The Third Money Laundering Directive The Fourth Money Laundering Directive The Fifth Money Laundering Directive Module 04: Responsibility of the Money Laundering Reporting Officer What Is a Money Laundering Reporting Officer? Who Can be Appointed as an MLRO? The Role of The Money Laundering Reporting Officer Module 05: Risk-based Approach Introduction What Is a Risk-Based Approach (RBA)? A Risk-Based Approach to Customer Due Diligence (CDD) How to Assess the Risk Profile of The Entity How to Assess Client Risk Conducting the Client Risk Assessment Module 06: Customer Due Diligence What is Customer Due Diligence? Main Elements of a Customer Due Diligence Program Enhanced Due Diligence Enhanced Due Diligence for Higher-Risk Customers Account Opening, Customer Identification and Verification Consolidated Customer Due Diligence Module 07: Record Keeping The Purpose of Record-Keeping What Records Have to be Kept? Customer Identification In What Form Should Records be Kept? Failure to Keep Records Module 08: Suspicious Conduct and Transactions What Is Suspicious Activity? What Is a Suspicious Transaction? Avoiding a National Reporting or Record-Keeping Requirement Wire or Fund Transfers Insufficient or Suspicious Information by a Customer Other Suspicious Customer Activity The Identification of Unusual Transactions The Types of Events That Might Cause Suspicion Module 09: Awareness and Training The Importance of Staff Awareness and Training The Core Obligations of Training Legal and Regulatory Obligations Staff Responsibilities Internal Training Procedures Assessment Process Once you have completed all the modules in the Anti Money Laundering course, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. Showcase Your Accomplishment of New Skills: Get a Certification of Completion The learners have to successfully complete the assessment of this Anti Money Laundering course to achieve the CPD accredited certificate. Digital certificates can be ordered for only £10. The learner can purchase printed hard copies inside the UK for £29, and international students can purchase printed hard copies for £39. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Is This Anti Money Laundering (AML) Course Right for You? This Anti Money Laundering course has a practical focus and is open to anyone interested in the subject. However, the course is preferable by: Individuals with specific anti-money laundering duties Individuals working in financial services who want a thorough understanding of anti-money laundering Anyone who aspires to a career in anti-money laundering or fraud prevention Requirements Enrol on the Anti Money Laundering with no formal entry requirements! If you have a passion for knowledge and want to learn something new, register on the Anti Money Laundering without any delay. We only ask that all students have a passion for learning and literacy, and be over the age of 16. Complete the Anti Money Laundering online from your computer, tablet, or smartphone, and learn in a way that suits you. Career path Enrolling on this Anti Money Laundering Course can lead you to the following career paths: Ethics & Compliance Officer Lawyer Entrepreneur AML Analyst Accountant Bookkeeper Chartered Accountant Money Laundering Reporting Officer AML Officer Business Analyst Compliance Manager And many more!

Duration 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.

Highlights of the Course Course Type: Online Learning Duration: 8 Hours Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about psychology Understand the core competencies and principles of psychology Explore the various areas of psychology Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert psychologist Psychology - Advance Training Course Online Course Master the skills you need to propel your career forward in child psychology. This course will equip you with the essential knowledge and skillset that will make you a confident psychologist and take your career to the next level. This comprehensive psychology course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this psychology course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective child psychology practice and equip you with the essential skills, confidence and competence to assist you in the child psychology industry. You'll gain a solid understanding of the core competencies required to drive a successful career in child psychology. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for psychologist or for people who are aspiring to specialise in child psychology. Enrol in this psychology course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive psychology course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this child psychology can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence and open your doors to a wide number of professions within your chosen sector. Entry Requirements This psychology course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This psychology course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This psychology course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Perspectives in Psychology What Is Psychology 00:07:00 The Biological Approach 00:10:00 Behaviourist And Cognitive Approaches 00:09:00 Person-Centred Approaches 00:08:00 Debates In Psychology 00:12:00 Social Psychology Social Influence: Compliance, Obedience and Conformity 00:10:00 Social Cognition 00:08:00 Applied Social Psychology 00:09:00 Cognitive Psychology and Its Applications Perception 00:09:00 Attention 00:07:00 Remembering (Memory) 00:09:00 Research Methods In Psychology 00:12:00 Forgetting (Memory) 00:07:00 Language 00:10:00 Thinking (Cognition) 00:07:00 Attitudes 00:09:00 Problem-Solving And Artificial Intelligence 00:09:00 Child Development Issues In Child Development 00:05:00 Cognitive Development 00:06:00 The Development Of Language And Communication 00:06:00 Social Perception (Interpersonal Perception) 00:05:00 Moral Development 00:09:00 The Psychology of Atypical (Abnormal) Behaviour The Definition And Diagnosis Of Atypical (Abnormal) Behaviour 00:06:00 Treatments Of Atypical (Abnormal) Behaviour 00:07:00 Emotional Disorders 00:05:00 Research Methods Research Methods 00:06:00 Research Issues 00:06:00 Data Analysis 00:06:00 Thank You and Good Bye! 00:02:00 Child Psychology Introduction About your tutor 00:01:00 About the course 00:02:00 Child Psychology - Applied What is 'Child Psychology'? 00:08:00 The Role of Child Psychologist 00:06:00 Where do Child Psychologists Work 00:06:00 Child Psychology - Theoretical Approach Why do we need to learn theories? 00:08:00 Developmental Theories: What we are born with 00:09:00 Developmental Theories: How environment impacts us 00:09:00 Environmental & Socio-Cultural Factors in Development 'Attachment' factor in newborns 00:08:00 Socio-Cultural Factors in Child's Development 00:07:00 Family & Schooling Factors in Development The Role of Parenting in Child's Development 00:10:00 Relationship Breakdown in the Family 00:07:00 Schooling Environment 00:08:00 Counselling Young Children 00:08:00 Cognitive and Emotional Development Language & Cognitive Development 00:07:00 Emotions & Feelings 00:06:00 Socialising with others 00:04:00 Thank You and Good Bye!44 00:01:00 Addiction Psychology Introduction: About instructor & the course 00:02:00 Theories of Addiction The Moral Model 00:05:00 The Psychological Model 00:06:00 The Medical / Disease Model 00:09:00 The Socio-Cultural Model 00:05:00 Addiction Treatments Pharmacotherapy 00:03:00 The Minnesota Model 00:04:00 Counselling and Therapy 00:07:00 Harm Reduction Model 00:04:00 Treatments in Practice 00:05:00 Addiction in Society Drug policies, Legislation and Decriminalisation 00:08:00 Community change, Outreach, Harm Reduction or Abstinence 00:06:00 Alcohol and Drug education 00:05:00 Alcohol- and drug related issues in the workplace 00:06:00 Addiction in Families Codependency, Children of alcoholic families, parenting styles, family factors 00:08:00 Relapse for families, 'letting go', dependent attitudes and dependent behaviours 00:04:00 Al-Anon 00:04:00 The Intervention Approach3 00:04:00 Working with Addiction Why be a 'helper' 00:03:00 'Helper' qualities and attitudes 00:03:00 Counselling / 'helping' skills 00:04:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Overview This comprehensive course on SQL NoSQL Big Data and Hadoop will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This SQL NoSQL Big Data and Hadoop comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this SQL NoSQL Big Data and Hadoop. It is available to all students, of all academic backgrounds. Requirements Our SQL NoSQL Big Data and Hadoop is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 14 sections • 130 lectures • 22:34:00 total length •Introduction: 00:07:00 •Building a Data-driven Organization - Introduction: 00:04:00 •Data Engineering: 00:06:00 •Learning Environment & Course Material: 00:04:00 •Movielens Dataset: 00:03:00 •Introduction to Relational Databases: 00:09:00 •SQL: 00:05:00 •Movielens Relational Model: 00:15:00 •Movielens Relational Model: Normalization vs Denormalization: 00:16:00 •MySQL: 00:05:00 •Movielens in MySQL: Database import: 00:06:00 •OLTP in RDBMS: CRUD Applications: 00:17:00 •Indexes: 00:16:00 •Data Warehousing: 00:15:00 •Analytical Processing: 00:17:00 •Transaction Logs: 00:06:00 •Relational Databases - Wrap Up: 00:03:00 •Distributed Databases: 00:07:00 •CAP Theorem: 00:10:00 •BASE: 00:07:00 •Other Classifications: 00:07:00 •Introduction to KV Stores: 00:02:00 •Redis: 00:04:00 •Install Redis: 00:07:00 •Time Complexity of Algorithm: 00:05:00 •Data Structures in Redis : Key & String: 00:20:00 •Data Structures in Redis II : Hash & List: 00:18:00 •Data structures in Redis III : Set & Sorted Set: 00:21:00 •Data structures in Redis IV : Geo & HyperLogLog: 00:11:00 •Data structures in Redis V : Pubsub & Transaction: 00:08:00 •Modelling Movielens in Redis: 00:11:00 •Redis Example in Application: 00:29:00 •KV Stores: Wrap Up: 00:02:00 •Introduction to Document-Oriented Databases: 00:05:00 •MongoDB: 00:04:00 •MongoDB Installation: 00:02:00 •Movielens in MongoDB: 00:13:00 •Movielens in MongoDB: Normalization vs Denormalization: 00:11:00 •Movielens in MongoDB: Implementation: 00:10:00 •CRUD Operations in MongoDB: 00:13:00 •Indexes: 00:16:00 •MongoDB Aggregation Query - MapReduce function: 00:09:00 •MongoDB Aggregation Query - Aggregation Framework: 00:16:00 •Demo: MySQL vs MongoDB. Modeling with Spark: 00:02:00 •Document Stores: Wrap Up: 00:03:00 •Introduction to Search Engine Stores: 00:05:00 •Elasticsearch: 00:09:00 •Basic Terms Concepts and Description: 00:13:00 •Movielens in Elastisearch: 00:12:00 •CRUD in Elasticsearch: 00:15:00 •Search Queries in Elasticsearch: 00:23:00 •Aggregation Queries in Elasticsearch: 00:23:00 •The Elastic Stack (ELK): 00:12:00 •Use case: UFO Sighting in ElasticSearch: 00:29:00 •Search Engines: Wrap Up: 00:04:00 •Introduction to Columnar databases: 00:06:00 •HBase: 00:07:00 •HBase Architecture: 00:09:00 •HBase Installation: 00:09:00 •Apache Zookeeper: 00:06:00 •Movielens Data in HBase: 00:17:00 •Performing CRUD in HBase: 00:24:00 •SQL on HBase - Apache Phoenix: 00:14:00 •SQL on HBase - Apache Phoenix - Movielens: 00:10:00 •Demo : GeoLife GPS Trajectories: 00:02:00 •Wide Column Store: Wrap Up: 00:05:00 •Introduction to Time Series: 00:09:00 •InfluxDB: 00:03:00 •InfluxDB Installation: 00:07:00 •InfluxDB Data Model: 00:07:00 •Data manipulation in InfluxDB: 00:17:00 •TICK Stack I: 00:12:00 •TICK Stack II: 00:23:00 •Time Series Databases: Wrap Up: 00:04:00 •Introduction to Graph Databases: 00:05:00 •Modelling in Graph: 00:14:00 •Modelling Movielens as a Graph: 00:10:00 •Neo4J: 00:04:00 •Neo4J installation: 00:08:00 •Cypher: 00:12:00 •Cypher II: 00:19:00 •Movielens in Neo4J: Data Import: 00:17:00 •Movielens in Neo4J: Spring Application: 00:12:00 •Data Analysis in Graph Databases: 00:05:00 •Examples of Graph Algorithms in Neo4J: 00:18:00 •Graph Databases: Wrap Up: 00:07:00 •Introduction to Big Data With Apache Hadoop: 00:06:00 •Big Data Storage in Hadoop (HDFS): 00:16:00 •Big Data Processing : YARN: 00:11:00 •Installation: 00:13:00 •Data Processing in Hadoop (MapReduce): 00:14:00 •Examples in MapReduce: 00:25:00 •Data Processing in Hadoop (Pig): 00:12:00 •Examples in Pig: 00:21:00 •Data Processing in Hadoop (Spark): 00:23:00 •Examples in Spark: 00:23:00 •Data Analytics with Apache Spark: 00:09:00 •Data Compression: 00:06:00 •Data serialization and storage formats: 00:20:00 •Hadoop: Wrap Up: 00:07:00 •Introduction Big Data SQL Engines: 00:03:00 •Apache Hive: 00:10:00 •Apache Hive : Demonstration: 00:20:00 •MPP SQL-on-Hadoop: Introduction: 00:03:00 •Impala: 00:06:00 •Impala : Demonstration: 00:18:00 •PrestoDB: 00:13:00 •PrestoDB : Demonstration: 00:14:00 •SQL-on-Hadoop: Wrap Up: 00:02:00 •Data Architectures: 00:05:00 •Introduction to Distributed Commit Logs: 00:07:00 •Apache Kafka: 00:03:00 •Confluent Platform Installation: 00:10:00 •Data Modeling in Kafka I: 00:13:00 •Data Modeling in Kafka II: 00:15:00 •Data Generation for Testing: 00:09:00 •Use case: Toll fee Collection: 00:04:00 •Stream processing: 00:11:00 •Stream Processing II with Stream + Connect APIs: 00:19:00 •Example: Kafka Streams: 00:15:00 •KSQL : Streaming Processing in SQL: 00:04:00 •KSQL: Example: 00:14:00 •Demonstration: NYC Taxi and Fares: 00:01:00 •Streaming: Wrap Up: 00:02:00 •Database Polyglot: 00:04:00 •Extending your knowledge: 00:08:00 •Data Visualization: 00:11:00 •Building a Data-driven Organization - Conclusion: 00:07:00 •Conclusion: 00:03:00 •Assignment -SQL NoSQL Big Data and Hadoop: 00:00:00

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

Course Overview Learn the Latest Skills | Acknowledged by CPD & QLS | MCQ Based Exam & Tutor Support | Interactive Video Training  The popular Counselling and Psychology Course will guide you through psychology’s core concepts, critical viewpoints, and applications. In addition, it offers comprehensive details on child cognitive development, how to handle abnormal behaviour, psychology research methodologies, and psychological approaches. You will have a variety of skills necessary to work in the health and social care sector, such as in hospitals, health centres, and child mental health services, by completing the Counselling and Psychology Course. Please note that this course does not entitle you to join the HCPC register or be acknowledged as a psychologist. However, through this course, you will come across all the basic guidelines of psychology to boost and shine your knowledge in this particular field of Psychology, which will add to your CPD points. What Will You Learn? Demonstrate knowledge of the major perspectives in psychology Recognize the major theories used in contemporary psychology Apply social psychological theories, principles and research findings to gain a better understanding of social issues Understand the cognitive development of children Recognize prevalent mental illnesses in both children and adults. Treatment for abnormal behaviour and knowledge of abnormal behaviour's diagnosis Apply data analysis in psychology and expert research techniques. What classes are included in this package? Earn a digital certificate upon successful completion acknowledged by UK and internationally acknowledged lesson There are no set schedules, so you can work at your own pace. Our email and live chat specialists are available to assist you 24 hours a day, 7 days a week. On weekdays, you’ll have access to a full-time tutor. Learn in a user-friendly, cutting-edge online learning environment. High-quality e-learning study materials Benefit from instant feedback through mock exams and multiple-choice assessments Who Should Take This Course? This course is an essential learning exercise for anybody considering a career in counselling, and the welfare or healthcare sectors, where communication and empathy are valued commodities. No formal lesson is required before enrolling on the course. Career Path Training offered by Counselling and Psychology could potentially benefit a range of roles, but would particularly enhance careers in: SEN Teacher Counselling Psychologist Life Coach Social Care Worker Psychotherapist Clinical Psychologist Child Psychologist School Counsellor 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 Video lessons Online study materials Mock exams Multiple-choice assessments Assignment Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. 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. 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 On successful completion of the Counselling and Psychology, you will be required to sit an online multiple-choice assessment. You will need to score 60% or above to pass the course. After successfully passing the exam, you will be able to apply for a Quality Licence Scheme endorsed certificate of achievement. The assessment will be evaluated automatically and the results will be given to you immediately. Retake fee If you do not pass the exam first time, you can purchase the Retake Exam for £1.99 and try again. Course Contents Perspectives in Psychology Social Psychology Cognitive Psychology and Its Applications Child Development The Psychology of Atypical (Abnormal) Behaviour Research Methods

Follow your dreams by enrolling on the Counselling, Psychology and Cognitive Development course today and develop the experience, skills and knowledge you need to enhance your professional development. Counselling, Psychology and Cognitive Development will help you arm yourself with the qualities you need to work towards your dream job. Study the Counselling, Psychology and Cognitive Development training course online with Janets through our online learning platform and take the first steps towards a successful long-term career. The Counselling, Psychology and Cognitive Development course will allow you to enhance your CV, impress potential employers, and stand out from the crowd.  This Counselling, Psychology and Cognitive Development course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Study the Counselling, Psychology and Cognitive Development course through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the Counselling, Psychology and Cognitive Development course, to ensure you are supported every step of the way. Get a digital certificate as proof of your Counselling, Psychology and Cognitive Development course completion. Janets is one of the top online training course providers in the UK, and we want to make education accessible to everyone! Learn the essential skills you need to succeed and build a better future for yourself with the Counselling, Psychology and Cognitive Development course. The Counselling, Psychology and Cognitive Development course is designed by industry experts and is tailored to help you learn new skills with ease.  The Counselling, Psychology and Cognitive Development is incredibly great value and allows you to study at your own pace. With full course access for one year, you can complete the Counselling, Psychology and Cognitive Development when it suits you. Access the Counselling, Psychology and Cognitive Development course modules from any internet-enabled device, including computers, tablets, and smartphones. The Counselling, Psychology and Cognitive Development course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the Counselling, Psychology and Cognitive Development now and start learning instantly! Please note that this course does not entitle you to join the HCPC register or recognised as psychologist. Through this course you will come across all the basic guidelines of psychology to boost and shine your knowledge in this particular field of Psychology and it will add your CPD points. What You Get Out Of Studying Counselling, Psychology and Cognitive Development With Janets: Receive a digital Certificate upon successful completion of the Counselling, Psychology and Cognitive Development course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Description The Counselling, Psychology and Cognitive Development training course is delivered through Janets' online learning platform. Access the Counselling, Psychology and Cognitive Development content from any internet-enabled device whenever or wherever you want to. The Counselling, Psychology and Cognitive Development course has no formal teaching deadlines, meaning you are free to complete the course at your own pace. Method of Assessment  To successfully complete the Counselling, Psychology and Cognitive Development 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 Counselling, Psychology and Cognitive Development course. After successfully passing the Counselling, Psychology and Cognitive Development course exam, you will be able to apply for a CPD-accredited certificate as proof of your Counselling, Psychology and Cognitive Development qualification. Certification All students who successfully complete the Counselling, Psychology and Cognitive Development course can instantly download their digital certificate. You can also purchase a hard copy of the Counselling, Psychology and Cognitive Development course certificate, which will be delivered by post for £9.99. Who Is This Course For: The Counselling, Psychology and Cognitive Development is ideal for those who already work in this sector or are an aspiring professional. This Counselling, Psychology and Cognitive Development course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The Counselling, Psychology and Cognitive Development is open to all students and has no formal entry requirements. To study the Counselling, Psychology and Cognitive Development course, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Career Path: The Counselling, Psychology and Cognitive Development is ideal for anyone who wants to pursue their dream career in a relevant industry. Learn the skills you need to boost your CV and go after the job you want. Complete the Counselling, Psychology and Cognitive Development and gain an industry-recognised qualification that will help you excel in finding your ideal job. Course Content Perspectives in Psychology What is Psychology 00:08:00 The Biological Approach 00:10:00 Behaviourist and Cognitive Approaches 00:10:00 Person-Centred Approaches 00:09:00 Research Methods in Psychology 00:12:00 Debates in Psychology 00:13:00 Social Psychology Social Influence: Compliance, Obedience and Conformity 00:10:00 Social Cognition 00:09:00 Applied Social Psychology 00:10:00 Cognitive Psychology and Its Applications Perception 00:10:00 Attention 00:07:00 Remembering (Memory) 00:10:00 Forgetting (Memory) 00:07:00 Language 00:10:00 Thinking (Cognition) 00:07:00 Attitudes 00:10:00 Problem-Solving and Artificial Intelligence 00:09:00 Child Development Issues in Child Development 00:05:00 Cognitive Development 00:07:00 The Development of Language and Communication 00:06:00 Social Perception (Interpersonal Perception) 00:06:00 Moral Development 00:09:00 The Psychology of Atypical (Abnormal) Behaviour The definition and Diagnosis of Atypical (Abnormal) Behaviour 00:07:00 Treatments of atypical (abnormal) behaviour 00:07:00 Emotional disorders 00:05:00 Research Methods Research Methods 00:06:00 Research Issues 00:06:00 Data Analysis 00:07:00 Thank You and Good Bye! 00:02:00 Resources Resources - Psychology Diploma 00:00:00 Mock Exam Mock Exam- Counselling, Psychology and Cognitive Development 00:20:00 Final Exam Final Exam- Counselling, Psychology and Cognitive Development 00:20:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

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