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Duration 3 Days 18 CPD hours This course is intended for Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary. Overview By the end of this course, you will be able to build your own marketing reporting and interactive dashboard solutions. The course starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation.As you make your way through the course, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding sections, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. Data Preparation and Cleaning Data Models and Structured Data pandas Data Manipulation Data Exploration and Visualization Identifying the Right Attributes Generating Targeted Insights Visualizing Data Unsupervised Learning: Customer Segmentation Customer Segmentation Methods Similarity and Data Standardization k-means Clustering Choosing the Best Segmentation Approach Choosing the Number of Clusters Different Methods of Clustering Evaluating Clustering Predicting Customer Revenue Using Linear Regression Understanding Regression Feature Engineering for Regression Performing and Interpreting Linear Regression Other Regression Techniques and Tools for Evaluation Evaluating the Accuracy of a Regression Model Using Regularization for Feature Selection Tree-Based Regression Models Supervised Learning: Predicting Customer Churn Classification Problems Understanding Logistic Regression Creating a Data Science Pipeline Fine-Tuning Classification Algorithms Support Vector Machine Decision Trees Random Forest Preprocessing Data for Machine Learning Models Model Evaluation Performance Metrics Modeling Customer Choice Understanding Multiclass Classification Class Imbalanced Data Additional course details: Nexus Humans Data Science for Marketing Analytics 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 Data Science for Marketing Analytics 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 4 Days 24 CPD hours This course is intended for Network administrators Network operators Network architects System installers System integrators System administrators Overview After taking this course, you should be able to: Explain the advantages of CNC for service lifecycle functions Describe the architecture of the Cisco Crosswork Network Controller and its components Describe the main operations features and capabilities of CNC Perform the installation and initial configuration of the Cisco Crosswork Network Controller Onboard network devices in CNC Enable data collection in CNC using Crosswork Data Gateway Provision traffic engineering policies to be used by network services Explore network topology and inventory details by using the available visualizing tools Optimize a network service instance for bandwidth utilization during the lifetime of service instances Bind newly provisioned Layer 2 and Layer 3 VPN service instances to traffic engineering policies Develop custom Layer 2 and Layer 3 Multiprotocol Label Switching (MPLS) VPN service definitions Configure Key Performance Indicators (KPIs) to monitor the health of devices Develop plays and playbooks for closed loop automation Automate network operations and maintenance tasks Explore closed loop workflows Use northbound application programing interfaces to integrate other systems with CNC Send alerts to northbound systems Configure the collection and exporting of data to external endpoints Manage the Crosswork cluster Deploy CNC for optimal availability, scalability, and performance Troubleshoot CNC issues The Implementing Cisco Crosswork Network Controller (SPCNCI) v1.0 course introduces you to the Cisco© Crosswork Network Controller (CNC) and its installation. Through a series of lectures and labs you will learn to use Cisco CNC to streamline, manage, and automate service lifecycle functions spanning across service provisioning, visualization, monitoring, and optimization. You will also get an overview of Cisco CNC as an IP transport network controller platform, of its components, and of its utility in various use-cases such as boosting operational agility, improving intent-based service delivery, and reducing the cost of operations.This course will also teach you about creating custom service definitions, tactical traffic engineering policies, automated provisioning of services, and real-time traffic optimization. Additionally, you will learn about implementing closed loop automation workflows for remediation, optimization, and maintenance. Finally, this course will teach you to understand APIs to help interface with other systems, as well as best practices, including sizing guidelines across components of the CNC meant to meet scalability and high-availability requirements. Course Outline Introducing Cisco CNC Exploring Cisco CNC Architecture Describing Cisco CNC Unified Functions Installing and Configuring Cisco CNC Onboarding Network Devices Setting Up Data Collection Provisioning Traffic Engineering Policies Visualizing and Exploring Network Topology and Inventory Details Optimizing Networks Using Closed-Loop Automation Orchestrating VPN Services Developing Custom L2VPN and L3VPN Service Definitions Configuring KPIs to Monitor Device Health Automating Maintenance and Closed Loop Remediation Automating Network Maintenance Tasks Exploring Closed Loop Workflows Exploring Northbound APIs for External System Integration Managing System Alerts Collecting and Exporting Data to External Endpoints Operating a Cisco Crosswork Cluster Implementing CNC for High Availability, Scalability, and Performance Troubleshooting Cisco CNC Additional course details: Nexus Humans Cisco Implementing Cisco Crosswork Network Controller v1.0 (SPCNCI) 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 Cisco Implementing Cisco Crosswork Network Controller v1.0 (SPCNCI) 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.

DOG BEHAVIOUR At Cheshire Dog Services, emphasis is placed on modification of the dog’s behaviour through non-coercive and non-aversive methods. While basic training is a component of any behaviour modification program, it is likely you require assistance in devising a course of action that will help you and your dog successfully overcome any problems that arise during your dogs’ lifetime. Plenty of the problem behaviours that dogs’ develop can be a result of an owner’s misunderstanding of their dogs’ behaviour and can make matters worse when responding in an inappropriate way. Harsh methods can deteriorate your relationship with your dog and build distrust on both sides so using aggression to cure aggression does not work. Many nuisance behaviours or aggression problems are often very normal dog behaviours, therefore using harsh or aversive tactics to remove these undesirable actions are unwarranted and only delay in “fixing” the problem in the first place. Helping you understand dog psychology can give you the foundation to a happier life together! Glyn has a diploma (merit pass) in Advanced Canine Behaviour from the esteemed British College of Canine Studies. Are you experiencing problems with your dog such as: Jumping up Object guarding or stealing Aggression to other dogs, children & strangers Over guarding of you or your house Fear / nervousness / anxiety Excessive barking Getting into the car Barking at people or cars Behaviour Modification takes into account: Ensuring the Health & physical wellbeing of your dog. (physical health – diet, rest, exercise, medical illness ) & emotional wellbeing. Setting the dog up for Success – Avoiding putting the dog in a situation where he/she is likely to fail. Desensitisation & Counter Conditioning – presenting less threatening versions of the triggering stimulus & pairing it with things the dog enjoys. Positive Reinforcement / Differential reinforcement of Alternative Behaviour – teaching other skills the dog can do instead of the unwanted behaviour. Please contact us with the behaviour problems you are encountering and we’ll review what’s involved to help you. We would normally like to carry out a visit to your home, discuss the issue on full, meet your dog and set out what we need to do to help you. At this stage, we’ll set out costs involved as I’m sure you can understand that some behavioural issues can take longer to resolve than others. We would normally like to carry out at least one follow up visit and will provide you with a written report too. Please contact us for prices (they vary depending on what’s required)

Duration 3 Days 18 CPD hours This course is intended for Blockchain Architects Blockchain DevelopersApplication Developers Blockchain System AdministratorsNetwork Security Architects Cyber Security ExpertsIT Professionals w/cyber security experience Overview Those who attend the Security for Blockchain Professionals course and pass the exam certification will have a demonstrated knowledge of:Identifying and differentiating between security threats and attacks on a Blockchain network.Blockchain security methods, best practices, risk mitigation, and more.All known (to date) cyber-attack vectors on the Blockchain.Performing Blockchain network security risk analysis.A complete understanding of Blockchain?s inherent security features and risks.An excellent knowledge of best security practices for Blockchain System/Network Administrators.Demonstrating appropriate Blockchain data safeguarding techniques. This course covers all known aspects of Blockchain security that exist in the Blockchain environment today and provides a detailed overview of all Blockchain security issues, including threats, risk mitigation, node security integrity, confidentiality, best security practices, advanced Blockchain security and more. Fundamental Blockchain Security Cryptography for the Blockchain Hash Functions Public Key Cryptography Elliptic Curve Cryptography A Brief Introduction to Blockchain The Blocks The Chains The Network Promises of the Blockchain Blockchain Security Assumptions Digital Signature Security Hash Function Security Limitations of Basic Blockchain Security Public Key Cryptography Review Real-Life Public Key Protection Cryptography and Quantum Computers Lab 1 (Tentative) Finding Hash Function Collisions Reversible hash function Hash function with poor non-locality Hash function with small search space Breaking Public Key Cryptography Brute Forcing a Short Private Key Brute Forcing a Poorly-Chosen Private Key Consensus in the Blockchain Blockchain Consensus and Byzantine Generals Blockchain Networking Review Byzantine Generals Problem Relation to Blockchain Byzantine Fault Tolerance Introduction to Blockchain Consensus Security Blockchain Consensus Breakthrough Proof of Work What is Proof of Work? How does Proof of Work Solve BGP? Proof of Work Security Assumptions Attacking Proof of Work Proof of Stake What is Proof of Stake? How does Proof of Stake Solve BGP? Proof of Stake Security Assumptions Attacking Proof of Stake General Attacks on Blockchain Consensus Other Blockchain Consensus Algorithms Lab 2 (Tentative) Attacking Proof of Work Performing a 51% Attack Performing a Selfish Mining Attack Attacking Proof of Stake Performing a XX% Attack Performing a Long-Range Attack Malleable Transaction Attacks Advanced Blockchain Security Mechanisms Architectural Security Measures Permissioned Blockchains Checkpointing Advanced Cryptographic Solutions Multiparty Signatures Zero-Knowledge Proofs Stealth Addresses Ring Signatures Confidential Transactions Lab 3 (Tentative) Permissioned Blockchains 51% on a Checkpointed Blockchain Data mining on a blockchain with/without stealth addresses Zero-Knowledge Proof Simulation Trying to fake knowledge of a ZKP Module 4: Blockchain for Business Introduction to Ethereum Security What is Ethereum Consensus in Ethereum Smart Contracts in Ethereum Ethereum Security Pros and Cons of Ethereum Blockchains Introduction to Hyperledger Security What is Hyperledger Consensus in Hyperledger Smart Contracts in Hyperledger Hyperledger Security Pros and Cons of Hyperledger Blockchains Introduction to Corda Security What is Corda Consensus in Corda Smart Contracts in Corda Corda Security Pros and Cons of Corda Blockchains Lab 4 Blockchain Risk Assessment What are the Risks of the Blockchain? Information Security Information Sensitivity Data being placed on blockchain Risks of disclosure Regulatory Requirements Data encryption Data control PII protection Blockchain Architectural Design Public and Private Blockchains Open and Permissioned Blockchains Choosing a Blockchain Architecture Lab 5 Exploring public/private open/permissioned blockchains? Basic Blockchain Security Blockchain Architecture User Security Protecting Private Keys Malware Update Node Security Configuring MSPs Network Security Lab 6 (TBD) Smart Contract Security Introduction to Smart Contracts Smart Contract Security Considerations Turing-Complete Lifetime External Software Smart Contract Code Auditing Difficulties Techniques Tools Lab 7 (Tentative) Try a couple of smart contract code auditing tool against different contracts with built-in vulnerabilities Module 8: Security Implementing Business Blockchains Ethereum Best Practices Hyperledger Best Practices Corda Best Practices Lab 8 Network-Level Vulnerabilities and Attacks Introduction to Blockchain Network Attacks 51% Attacks Denial of Service Attacks Eclipse Attacks Routing Attacks Sybil Attacks Lab 9 Perform different network-level attacks System-Level Vulnerabilities and Attacks Introduction to Blockchain System Vulnerabilities The Bitcoin Hack The Verge Hack The EOS Vulnerability Lab 10 Smart Contract Vulnerabilities and Attacks Introduction to Common Smart Contract Vulnerabilities Reentrancy Access Control Arithmetic Unchecked Return Values Denial of Service Bad Randomness Race Conditions Timestamp Dependence Short Addresses Lab 11 Exploiting vulnerable smart contracts Security of Alternative DLT Architectures What Are Alternative DLT Architectures? Introduction to Directed Acyclic Graphs (DAGs) DAGs vs. Blockchains Advantages of DAGs DAG Vulnerabilities and Security Lab 12 Exploring a DAG network

journey for the planetary alignment and channelling for the collective.