2659 Exercises courses in Belfast delivered Online

Do you want to master the essential mathematical skills for data science and machine learning? Do you want to learn how to apply statistics and probability to real-world problems and scenarios? If yes, then this course is for you! In this course, you will learn the advanced concepts and techniques of statistics and probability that are widely used in data science and machine learning. You will learn how to describe and analyse data using descriptive statistics, distributions, and probability theory. You will also learn how to perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data. You will gain hands-on experience with practical exercises and projects using Python and R. Learning Outcomes By the end of this course, you will be able to: Apply descriptive statistics, distributions, and probability theory to summarise and visualise data Perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data Use Python and R to implement statistical and machine learning methods Interpret and communicate the results of your analysis using appropriate metrics and visualisations Solve real-world problems and scenarios using statistics and probability Why choose this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course for? This course is for anyone who wants to learn the advanced concepts and techniques of statistics and probability for data science and machine learning. This course is suitable for: Data scientists, machine learning engineers, and analysts who want to enhance their skills and knowledge Students and researchers who want to learn the mathematical foundations of data science and machine learning Professionals and managers who want to understand and apply data-driven decision making Hobbyists and enthusiasts who want to explore and learn from data Anyone who loves statistics and probability and wants to challenge themselves Career path Data Scientist (£35,000 - £55,000) Machine Learning Engineer (£40,000 - £60,000) Statistician (£35,000 - £55,000) Data Analyst (£40,000 - £60,000) Business Intelligence Analyst (£45,000 - £65,000) Senior Data Analyst (£50,000 - £70,000) Prerequisites This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £135 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Section 01: Let's get started Welcome! 00:02:00 What will you learn in this course? 00:06:00 How can you get the most out of it? 00:06:00 Section 02: Descriptive statistics Intro 00:03:00 Mean 00:06:00 Median 00:05:00 Mode 00:04:00 Mean or Median? 00:08:00 Skewness 00:08:00 Practice: Skewness 00:01:00 Solution: Skewness 00:03:00 Range & IQR 00:10:00 Sample vs. Population 00:05:00 Variance & Standard deviation 00:11:00 Impact of Scaling & Shifting 00:19:00 Statistical moments 00:06:00 Section 03: Distributions What is a distribution? 00:10:00 Normal distribution 00:09:00 Z-Scores 00:13:00 Practice: Normal distribution 00:04:00 Solution: Normal distribution 00:07:00 Section 04: Probability theory Intro 00:01:00 Probability Basics 00:10:00 Calculating simple Probabilities 00:05:00 Practice: Simple Probabilities 00:01:00 Quick solution: Simple Probabilities 00:01:00 Detailed solution: Simple Probabilities 00:06:00 Rule of addition 00:13:00 Practice: Rule of addition 00:02:00 Quick solution: Rule of addition 00:01:00 Detailed solution: Rule of addition 00:07:00 Rule of multiplication 00:11:00 Practice: Rule of multiplication 00:01:00 Solution: Rule of multiplication 00:03:00 Bayes Theorem 00:10:00 Bayes Theorem - Practical example 00:07:00 Expected value 00:11:00 Practice: Expected value 00:01:00 Solution: Expected value 00:03:00 Law of Large Numbers 00:08:00 Central Limit Theorem - Theory 00:10:00 Central Limit Theorem - Intuition 00:08:00 Central Limit Theorem - Challenge 00:11:00 Central Limit Theorem - Exercise 00:02:00 Central Limit Theorem - Solution 00:14:00 Binomial distribution 00:16:00 Poisson distribution 00:17:00 Real life problems 00:15:00 Section 05: Hypothesis testing Intro 00:01:00 What is a hypothesis? 00:19:00 Significance level and p-value 00:06:00 Type I and Type II errors 00:05:00 Confidence intervals and margin of error 00:15:00 Excursion: Calculating sample size & power 00:11:00 Performing the hypothesis test 00:20:00 Practice: Hypothesis test 00:01:00 Solution: Hypothesis test 00:06:00 T-test and t-distribution 00:13:00 Proportion testing 00:10:00 Important p-z pairs 00:08:00 Section 06: Regressions Intro 00:02:00 Linear Regression 00:11:00 Correlation coefficient 00:10:00 Practice: Correlation 00:02:00 Solution: Correlation 00:08:00 Practice: Linear Regression 00:01:00 Solution: Linear Regression 00:07:00 Residual, MSE & MAE 00:08:00 Practice: MSE & MAE 00:01:00 Solution: MSE & MAE 00:03:00 Coefficient of determination 00:12:00 Root Mean Square Error 00:06:00 Practice: RMSE 00:01:00 Solution: RMSE 00:02:00 Section 07: Advanced regression & machine learning algorithms Multiple Linear Regression 00:16:00 Overfitting 00:05:00 Polynomial Regression 00:13:00 Logistic Regression 00:09:00 Decision Trees 00:21:00 Regression Trees 00:14:00 Random Forests 00:13:00 Dealing with missing data 00:10:00 Section 08: ANOVA (Analysis of Variance) ANOVA - Basics & Assumptions 00:06:00 One-way ANOVA 00:12:00 F-Distribution 00:10:00 Two-way ANOVA - Sum of Squares 00:16:00 Two-way ANOVA - F-ratio & conclusions 00:11:00 Section 09: Wrap up Wrap up 00:01:00 Assignment Assignment - Statistics & Probability for Data Science & Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

The Sales Negotiation Training Course is designed to equip learners with the skills to negotiate, influence and communicate effectively in a business setting. Through this course, learners will develop their emotional intelligence, master the art of persuasion, and learn techniques for creating win-win solutions. This course is ideal for sales professionals and business owners who wish to develop the practical skills and knowledge to secure trust and commitment from their clients and customers. Learning Objectives: Develop the skills to communicate effectively with your clients Discover a wide range of sales techniques and strategies for negotiating Understand the universal laws of success and how they can be applied in business Build your emotional intelligence with our practical training exercises Who is this Retail Assistant Training Course for? Sales Negotiation Training Course is perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. CPD Certificate from Course Gate  At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Prepare The Train Driver - Self Development For The Sales Consultant The Mind Of A Consultant 00:03:00 Mastering Sales Is Mastering Life Skills 00:03:00 The Continuous Journey 00:02:00 Universal Laws Of Success 00:01:00 The Three Pillars Of Success 00:04:00 Personal Honesty 00:01:00 Diligence 00:02:00 Deferred Gratification 00:04:00 Suppression Of Principle 00:03:00 Emotional Intelligence 00:02:00 Core Principles Of Emotional Intelligence 00:04:00 The Problem Is Internal 00:02:00 The Two Motivational Forces 00:05:00 Product Confidence 00:03:00 Sales Consultant Activities To Complete 00:01:00 Negotiation Station - How To Negotiate Successfully The Negotiation Station 00:02:00 Core Principles Of Negotiation 00:01:00 Focusing On Them 00:02:00 Everyone Has To Win 00:04:00 Matching Values 00:03:00 The Path Of Least Resistance 00:02:00 Shifting The Weight 00:06:00 The Persuasion Secret 00:01:00 How To Persuade Someone 00:01:00 The Electric Car 00:02:00 The Fashionable Trainers 00:02:00 Competency Levels 00:03:00 Assessing Competency Levels 00:04:00 Features Benefits And Values 00:02:00 The Christmas Tree Negotiation 00:04:00 B2B Value Propositions 00:03:00 Deepening The Value 00:02:00 Over Decorating The Tree 00:03:00 The Big 12 00:01:00 Authority 00:04:00 Social Proof 00:03:00 Group Identity 00:02:00 Deflecting Fault 00:02:00 Ask For Advice 00:02:00 Compliment Their Negotiations 00:02:00 Reciprocity 00:02:00 Scarcity 00:02:00 Off Set Values 00:02:00 Stepped Commitments 00:02:00 Fear And Hope 00:02:00 Ranked Priorities 00:07:00 Negotiating A Price 00:01:00 The Market Price 00:02:00 The Anchor Price 00:02:00 The Walk Away Price 00:02:00 The First Offer 00:03:00 The Counter Offer 00:04:00 Activities To Complete Negotiation Skills 00:01:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

A 7 day self-paced online course for siblings in neurodiverse families to look after their wellbeing and develop their emotional literacy.

Microsoft Access online course

Let’s face it—decisions don’t make themselves, and critical thinking isn’t just for solving crossword puzzles. This CPD-accredited bundle is designed for those who want to sharpen their judgement, challenge assumptions with flair, and make decisions that don't leave everyone scratching their heads. Whether you're guiding a team, managing projects, or simply trying to avoid another meeting that could've been an email, these courses will help you approach challenges with clarity and confidence. This triple-course package dives into structured thinking, logic-based analysis, and effective decision-making strategies that apply across a wide range of professional settings. It offers thought-provoking content tailored for those who appreciate the fine art of choosing wisely—without overcomplicating things. No whiteboards or awkward group exercises required—just straight-talking, insightful learning delivered entirely online. It's professional development with purpose, precision, and just enough dry wit to keep you awake during the process. These comprehensive courses are available in this Decision Making and Critical Thinking - CPD Accredited 3 Courses Bundle Course 01: Decision Making and Critical Thinking Course 02: Problem Solving Skills Course 03: Resilience Training ** Special Offer: Free PDF and Hard Copy Certificates** Key Benefits Get instant PDF and Hard Copy certificate Fully online courses Developed by qualified professionals Self-paced learning and laptop, tablet, and smartphone-friendly 24/7 Learning Assistance Course Curriculum: Decision Making and Critical Thinking Module 01: Introduction to Critical Thinking Module 02: Critical Thinking and the Judgment of Claims Module 03: Benefits and Barriers of Critical Thinking Module 04: Importance of Critical Thinking Module 05: Recognising a Critical Thinker Module 06: What Are the Critical Thinking Steps? Module 07: Critical Thinking Strategies Module 08: Problem-Solving Through Critical Thinking Module 09: Decision Making with Critical Thinking Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing each Decision Making and Critical Thinking - CPD Accredited 3 Courses Bundle bundle course. For each test, the pass mark will be set to 60%. Accredited Certificate After successfully completing this Decision Making and Critical Thinking - CPD Accredited 3 Courses Bundle course, you will qualify for the CPD Quality Standards (CPD QS) certified certificate from Training Express. CPD 30 CPD hours / points Accredited by The CPD Quality Standards (CPD QS) Who is this course for? The Decision Making and Critical Thinking - CPD Accredited 3 Courses Bundle training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Decision Making and Critical Thinking - CPD Accredited 3 Courses Bundle training.

Mindfulness Meditation for Daily Life Course Overview: This course introduces mindfulness meditation techniques that can be integrated into daily life to cultivate a deeper sense of peace, awareness, and presence. Learners will explore a series of meditative practices, each designed to enhance mental clarity, emotional resilience, and physical well-being. By applying mindfulness to everyday activities, participants can expect to improve their ability to manage stress, enhance focus, and foster a deeper connection to themselves and others. This course provides a valuable toolkit for anyone seeking to live more mindfully and in tune with the present moment. Course Description: "Mindfulness Meditation for Daily Life" offers a comprehensive guide to incorporating mindfulness practices into everyday routines. This course covers a range of meditative exercises, from breathwork to sensation tracking, each designed to deepen awareness and increase emotional and mental clarity. Learners will be guided through a series of exercises that encourage self-reflection, self-love, and inner peace. The course also includes practical techniques for aligning speech with integrity, cultivating mindfulness in relationships, and embracing the present moment. Upon completion, participants will have developed skills to manage stress, enhance focus, and live with greater emotional balance and awareness. Mindfulness Meditation for Daily Life Curriculum: Module 01: Introduction: Let’s begin the journey to true love! Module 02: Mindfulness Practice 01: Breath – a doorway to freedom! Module 03: Meditation 02: Are you ready to fall in love with your body as a sacred temple? Module 04: Practice 03: Discover the mystery of the present through sensation tracking Module 05: Practice 04: If you like freedom this practice is for you! Module 06: Practice 05: Opening to the Secret of the Magical Pause Module 07: Practice 06: Lining Up Your Speech with Integrity Module 08: Practice 07: Dropping Down Into the Mystery of the Golden Realms Module 09: Practice 08: A Return to the Bliss of Self-Love Module 10: Now You’re Ready to Dive Into Practice – A Review of it All Module 11: Bonus – Relating to Family In Present Time – Yes you can do it! Module 12: Guided Meditation: ‘Open Your Heart & Experience Unconditional Love’ Module 13: Guided Meditation: ‘The Awakened Body’ (See full curriculum) Who is this course for? Individuals seeking to cultivate mindfulness in their daily lives. Professionals aiming to enhance focus and emotional well-being. Beginners with an interest in meditation and mindfulness. Anyone interested in managing stress and improving mental clarity. Career Path: Mindfulness Coach Meditation Practitioner Wellness Consultant Stress Management Specialist Personal Development Coach Corporate Wellness Coordinator

Gain, all the relevant skills and fundamental knowledge to run the HR department of any organisation successfully, with the HR Management course. In this comprehensive training course, you will gain an in-depth understanding of the role and responsibilities of the HR department, developing the key skills to work in this field along the way. You will learn about organisational culture, the recruitment process, how to motivate employees and much more. Our expert instructor will take you through fundamental practices such as employee onboarding, induction, training and development. This course includes practical exercises and case studies, as well as step-by-step guidance designed to take your career to the next level. Learning Objectives Demonstrate an understanding of the roles and functions of the human resources department Understand the key practices and principles of HR management Familiarise with the recruitment process, from HR planning to evaluation and control Learn about the importance of onboarding and how to welcome new hires Explore the definition of induction and the induction, training and development process Develop your communication skills to build strong and trusting relationships with clients and colleagues Broaden your knowledge of organisational culture and the factors that influence it Learn how to conduct a performance appraisal and what should be included in it Be able to manage conflict in the workplace and champion equality and inclusion Gain a comprehensive understanding of goal setting and motivation in the workplace Who is this Course for? This introductory HR Management training course is suitable for aspiring HR professionals and those who work in human resources, who are looking to take their career to the next level in a management role. Our online courses are specially designed for distance learning, offering flexible virtual classroom modules that you can study at your own convenience. Increase your chances of working for a top organisation, with this formal qualification. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Endorsement This course has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course 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. Certificate of Achievement Endorsed Certificate of Achievement At the successful completion of the course, the learners can order an endorsed certificate of achievement by paying the fee of £108. There is an additional £10 delivery charge for international students. Certificate of Completion from Course Gate At the successful completion of the course, the learners may order the Certificate of Completion from Course Gate (soft copy) by paying only £2. For the Printed hard copy of the certificate, the learners have to pay £9. There is an additional £10 delivery charge for international students. Career path On successful completion, learners will be equipped with the fundamental skills and knowledge to manage the HR department of any organisation successfully. Related professions in this field include: HR Manager HR Advisor Payroll & HR Coordinator Head of HR HR Business Partner HR Analyst HR Administrator Course Curriculum Module 01: Introduction to Human Resource Management Human Resource Management 00:15:00 Assessment Module 01 Module 01 Final Quiz Exam - HR Management 00:10:00 Module 02: HR Planning, Recruitment and Selection HR Planning, Recruitment and Selection 00:15:00 Assessment Module 02 Module 02 Final Quiz Exam - HR Management 00:10:00 Module 03: Employee Onboarding Employee Onboarding 00:15:00 Assessment Module 03 Module 03 Final Quiz Exam - HR Management 00:10:00 Module 04: Induction, Training and Development Induction, Training and Development 00:10:00 Assessment Module 04 Module 04 Final Quiz Exam - HR Management 00:10:00 Module 05: Responsibilities of the HR Department's Responsibilities of the HR Department's 00:10:00 Assessment Module 05 Module 05 Final Quiz Exam - HR Management 00:10:00 Module 06: Organisational Culture Organisational Culture 00:10:00 Assessment Module 06 Module 06 Final Quiz Exam - HR Management 00:10:00 Module 07: Motivation, Counseling, Resignations and Retirement Motivation, Counseling, Resignations and Retirement 00:15:00 Assessment Module 07 Module 07 Final Quiz Exam - HR Management 00:10:00 Module 08: Performance Appraisal Performance Appraisal 00:15:00 Assessment Module 08 Module 08 Final Quiz Exam - HR Management 00:10:00 Module 09: Remuneration Policy and Industrial Relations Remuneration Policy and Industrial Relations 00:10:00 Assessment Module 09 Module 09 Final Quiz Exam - HR Management 00:10:00 Module 10: Records and Statistics Records and Statistics 00:30:00 Assessment Module 10 Module 10 Final Quiz Exam - HR Management 00:10:00 Module 11: Employee Motivation Theories Employee Motivation Theories 00:15:00 Assessment Module 11 Module 11 Final Quiz Exam - HR Management 00:10:00 Module 12: Goals and Motivation Goals and Motivation 00:30:00 Assessment Module 12 Module 12 Final Quiz Exam - HR Management 00:10:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Duration 3 Days 18 CPD hours This course is intended for The ideal audience for this course includes database enthusiasts, IT professionals, and developers who are eager to expand their knowledge and skill set in database management and optimization. Roles that would greatly benefit from attending this course include: Database Developers: Those who design, implement, and maintain databases as part of their primary responsibilities and want to improve their expertise in schema design, query optimization, and advanced database features. Backend Developers: Professionals who work on server-side application logic and require a strong understanding of database management to integrate data storage and retrieval processes into their applications. Overview Upon completing this course, database developers will be able to: Design and implement efficient database schemas by employing normalization techniques, appropriate indexing strategies, and partitioning methods to optimize data storage and retrieval processes. Develop advanced SQL queries, including joining multiple tables, utilizing subqueries, and aggregating data, to extract valuable insights and facilitate decision-making processes. Implement stored procedures, functions, and triggers to automate common database tasks, enforce data integrity, and improve overall application performance. Apply database performance tuning techniques, such as query optimization, index management, and transaction control, to ensure optimal resource usage and enhanced system responsiveness. Integrate databases with various programming languages and platforms, enabling seamless data access and manipulation for web, mobile, and desktop applications. PostgreSQL is a powerful, open-source object-relational database management system that emphasizes extensibility, data integrity, and high performance. Its versatility and robust feature set make it an ideal choice for developers working on projects of all sizes, from small-scale applications to enterprise-level systems. By learning PostgreSQL, developers can tap into its advanced capabilities, such as full-text search, spatial data support, and customizable data types, allowing them to create efficient and scalable solutions tailored to their unique needs. PostgreSQL for Database Developers is a three-day hands-on course that explores the fundamentals of database management, covering everything from installation and management to advanced SQL functions. Designed for beginners and enthusiasts alike, this course will equip you with the knowledge and skills required to effectively harness the power of PostgreSQL in today's data-driven landscape. Throughout the course you?ll be immersed in a variety of essential topics, such as understanding data types, creating and managing indexes, working with array values, and optimizing queries for improved performance. You?ll gain valuable hands-on experience with real-world exercises, including the use of the psql client, writing triggers and stored procedures with PL/pgSQL, and exploring advanced SQL functions like Common Table Expressions (CTE), Window Functions, and Recursive Queries. You?ll exit this course with a solid foundation in PostgreSQL, enabling you to confidently navigate and manage your databases with ease and efficiency. Installing & Managing PostgreSQL PostgreSQL installation process Optimal configuration settings User and role management Database backup and restoration Overview of PostgreSQL Database PostgreSQL architecture overview Understanding database objects Efficient data storage Transaction management basics Using the psql client Introduction to psql Essential psql commands Executing queries effectively Managing databases with psql Understanding PostgreSQL data types Numeric data types explored Character and binary types Date, time, and boolean values Array and other types Understanding sequences Sequence creation and usage Customizing sequence behavior Implementing auto-increment columns Sequence manipulation and control Creating & managing indexes PostgreSQL index fundamentals Designing partial indexes Utilizing expression-based indexes Index management techniques Using COPY to load data COPY command overview Importing and exporting data Handling CSV and binary formats Performance considerations Working with Array Values Array value basics Array manipulation functions Querying arrays efficiently Multidimensional array handling Advanced SQL Functions Mastering Common Table Expressions Utilizing Window Functions Regular Expressions in SQL Crafting Recursive Queries Writing triggers & stored procedures with PL/pgSQL PL/pgSQL variables usage Implementing loop operations PERFORM and EXECUTE statements Developing PostgreSQL triggers Using the PostgreSQL query optimizer Query analysis and optimization EXPLAIN command insights PostgreSQL query operators Identifying performance bottlenecks Improving query performance Query performance tuning Index optimization strategies Efficient database partitioning Connection and resource management Wrap Up & Additional Resources Further learning opportunities Staying up-to-date with PostgreSQL Community engagement and support Additional course details: Nexus Humans PostgreSQL for Database Developers (TTDB7024) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the PostgreSQL for Database Developers (TTDB7024) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Machine Learning Essentials with Python (TTML5506-P) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is as follows: Network Video Engineer Voice/UC/Collaboration/Communications Engineer Collaboration Tools Engineer Collaboration Sales/Systems Engineer Overview Implement and Configure Cisco Endpoints Implement and Configure Cisco Unified Communications Manager for Video Endpoints Implement and Configure Cisco IMP for Jabber Implement and Configure Cisco Expressway Implement and Configure Cisco Video Communications Server (VCS) Control Implement and Configure Cisco Video Communications Server (VCS) Expressway Implement and Configure connectivity between a Cisco VCS and Cisco UCM Implement and Configure a Cisco Conductor Implement, Configure, and Operate Cisco TelePresence Management Suite (TMS) and provision devices using Cisco TMS Provisioning Extension (TMSPE) Implement and Configure Cisco Meeting Server This one of kind Cisco Collaboration in-depth course takes student from initial endpoint configuration to a full solution deployment using all of the Cisco Collaboration Components. Students will have extensive labs in which they will configure and troubleshoot a full Cisco Telepresence Deployment. Participants will gain in-depth practical knowledge with exercises on installing, configuring, maintaining and troubleshooting of all Cisco Telepresence Components.The software applications that are covered in this course include:Cisco Unified Communications Manager (CUCM)Cisco Unified Communications Manager IM and PresenceCisco ExpresswayCisco Video Communication Server (VCS)Cisco ConductorCisco Telepresence Server (TS)Cisco Meeting Server (CMS)Cisco Telepresence Management Suite (TMS)Cisco TMS Extensions Understanding Cisco TelePresence Endpoints Cisco TelePresence Endpoint Solutions Overview Cisco DX Series Endpoint Characteristics Cisco TelePresence TC Software-Based Endpoint Characteristics Cisco TelePresence EX60 and EX90 Cisco TelePresence MX Series Cisco TelePresence SX Series Endpoints Cisco TelePresence Room Kits Cisco Intelligent Proximity Cisco TelePresence TC Software-Based Endpoint Peripherals Cisco TelePresence TC Software-Based Endpoint Deployments Cisco TelePresence Integrator C Series-Based Endpoints Cisco Jabber Video for TelePresence Characteristics Cisco Jabber Understanding the Cisco Video Network Network Overview H323 Overview SIP Overview VCS vs Unified Communications Manager Internetworking QOS Overview Implementing and Configuring Unified Communication Manager Unified Communications Manager Initial Settings Service Activation Enterprise and Service Parameters SIP Domains Configure IMP for Jabber Configure Jabber Settings Registering Endpoints Verifying Network Registration Cisco VCS / Expressway Overview and Configuration Configuring Initial VCS Setting Configuring Authentication Registration Conflict Policy Registration Restriction Policy Local Zone Components Membership Rules Transforms Purpose of Zones Search Priority Neighbor Zones Creating Neighbor Zones Need for Traversal Zones H.460 and Assent Protocols Traversal Zone Configuration Domain Name System Dialing E.164 Number Mapping Bandwidth Management Pipes Subzones and Zones Subzone Call Failure Call Processing Order Certificates Certificate Installation Clustering and the Cisco VCS Clustering Configuration Collecting Information Log Files Search History Connecting VCS-C to CUCM Connect VCS-C to VCS-E Connecting CUCM to VCS-C Understanding the Cisco TelePresence Conductor What is Conductor? Conductor ? How it works Installing Cisco Conductor Configuring Conductor Network Settings Configuring Conductor for a CUCM Configuration MCU Configuration Telepresence Server Telepresence Conductor Server Configuration Configuring TelePresence Conductor for ad hoc conferences Configuring TelePresence Conductor for rendezvous conferences Configuring Unified CM Configuring general settings on Unified CM Locations in Unified CM Unified CM trusts TelePresence Conductor's server certificate SIP trunk security profile Configuring Unified CM for rendezvous conferences Sip Trunk Configuration Conference Bridge Configuration MRG and MRGL Configuration Unified CM normalization scripts Configuring Unified CM for ad hoc conferences Sip Trunk Configuration Route pattern to match the SIP Trunk Configuration Unified CM normalization scripts Configuring the Cisco VCS with TelePresence Conductor Designing a Dial Plan MCU Configuration Telepresence Server Configuring the Cisco VCS Telepresence Conductor Server Configuration Backing Up Conductor Troubleshooting Conductor Overview of Cisco Telepresence Management Server (TMS) Windows Server Installation SQL Server Installation Server Pre-requisites and configuration Installing TMS Installing TMS Provisioning Extensions Initial Configuration Endpoint Configuration Adding Systems to TMS Configuration Templates Setting Configuration VCS Configuration for TMS Direct Endpoint Management VCS/TMS CUCM Configuration for TMS Direct Endpoint Management?CUCM Phonebooks & Phonebook Sources Conference Creation Advanced Conference Settings Booking & Scheduling Participant Types Methods Conference Monitoring Dial Plans, Configuration Templates Scheduler/Smart Scheduler Managing and Troubleshooting Cisco TMS Using the Logs Cisco TMS Ticketing System Troubleshooting VCS Registrations Troubleshooting CUCM Registrations System Maintenance Configuring Cisco Meeting Server (formerly Acano) Setting up CMS Installing Certificates Configuring CUCM with CMS Provision the RTC Client Configuring Meeting Spaces Additional course details: Nexus Humans Advanced TP-CT - Implementing and Configuring Cisco TelePresence Video Suite training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Advanced TP-CT - Implementing and Configuring Cisco TelePresence Video Suite course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.