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Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced attendees who wish to learn and use basic machine learning algorithms and concepts. Students should have skills at least equivalent to the Python for Data Science courses we offer. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to Understand the main concepts and principles of predictive analytics Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Explore advanced predictive modeling algorithms w with an emphasis on theory with intuitive explanations Learn to deploy a predictive model's results as an interactive application Learn about the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into the dataset Learn to build regression and classification models using scikit-learn Use Keras to build powerful neural network models that produce accurate predictions Learn to serve a model's predictions as a web application Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This course provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. Hands-on Predictive Analytics with Python is a three-day, hands-on course that guides students through a step-by-step approach to defining problems and identifying relevant data. Students will learn how to perform data preparation, explore and visualize relationships, as well as build models, tune, evaluate, and deploy models. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seabor, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. The Predictive Analytics Process Technical requirements What is predictive analytics? Reviewing important concepts of predictive analytics The predictive analytics process A quick tour of Python's data science stack Problem Understanding and Data Preparation Technical requirements Understanding the business problem and proposing a solution Practical project ? diamond prices Practical project ? credit card default Dataset Understanding ? Exploratory Data Analysis Technical requirements What is EDA? Univariate EDA Bivariate EDA Introduction to graphical multivariate EDA Predicting Numerical Values with Machine Learning Technical requirements Introduction to ML Practical considerations before modeling MLR Lasso regression KNN Training versus testing error Predicting Categories with Machine Learning Technical requirements Classification tasks Credit card default dataset Logistic regression Classification trees Random forests Training versus testing error Multiclass classification Naive Bayes classifiers Introducing Neural Nets for Predictive Analytics Technical requirements Introducing neural network models Introducing TensorFlow and Keras Regressing with neural networks Classification with neural networks The dark art of training neural networks Model Evaluation Technical requirements Evaluation of regression models Evaluation for classification models The k-fold cross-validation Model Tuning and Improving Performance Technical requirements Hyperparameter tuning Improving performance Implementing a Model with Dash Technical requirements Model communication and/or deployment phase Introducing Dash Implementing a predictive model as a web application Additional course details: Nexus Humans Hands-on Predicitive Analytics with Python (TTPS4879) 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 Hands-on Predicitive Analytics with Python (TTPS4879) 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.

Identifying, attracting and shortlisting candidates for the recruitment process to fulfil the requirements of the business brief.

This Business English tutoring course is designed to help adult learners improve their English language skills within a professional context. Participants will focus on developing their communication skills, vocabulary, and cultural understanding necessary for success in the business world. Through practical exercises, role-plays, and industry-specific materials, learners will enhance their ability to effectively communicate in English within various business situations.  Course Duration: 12 weeks (48 sessions) Course Objectives: By the end of this course, participants will: 1. Communicate confidently and effectively in English within a business setting. 2. Expand business-related vocabulary and improve language accuracy. 3. Develop listening skills to understand business conversations and presentations. 4. Enhance reading comprehension skills for business-related texts. 5. Write accurately and coherently for business correspondence. Course Outline: Week 1: Introduction to Business English - Introduction to course objectives, expectations, and methodology - Assessment of participants' current language proficiency and individual learning goals - Overview of key business English skills and areas of focus Week 2: Business Communication Skills - Developing effective oral communication skills for business settings - Role-plays and discussions related to common business scenarios - Enhancing fluency, clarity, and confidence in expressing ideas and opinions Week 3: Business Vocabulary Expansion - Expanding business-related vocabulary and terminology - Exercises and activities to reinforce and practice key business terms - Incorporating industry-specific jargon into oral and written communication Week 4: Business Writing Skills - Improving writing skills for business correspondence - Practice exercises for emails, reports, memos, and other business documents - Enhancing clarity, coherence, and professional tone in written communication Week 5: Listening and Comprehension in Business Contexts - Developing listening skills to understand business conversations, presentations, and meetings - Authentic listening materials related to various business topics - Strategies for note-taking, understanding accents, and extracting key information Week 6: Reading and Comprehension for Business - Developing reading skills for business-related texts - Strategies for skimming, scanning, and understanding complex business documents - Identifying main ideas, supporting details, and summarising key information Week 7: Business Presentation Skills - Developing effective presentation skills for business contexts - Techniques for organising content, engaging the audience, and delivering impactful presentations - Practice sessions with feedback and guidance Week 8: Business Negotiation Skills - Enhancing negotiation skills for business interactions - Role-plays and practical exercises for successful negotiations - Polishing language and strategies for effective business communication Week 9: Business Etiquette and Cultural Understanding - Understanding business etiquette and cultural nuances in professional settings - Developing intercultural communication skills for international business contexts - Practicing effective communication in diverse and multicultural environments Week 10: Business Networking and Socialising - Developing language skills for networking and socialising in business contexts - Role-plays and exercises for effective communication at conferences, events, etc. - Polishing conversational skills, small talk, and building professional relationships Week 11: Business Grammar and Language Accuracy - Reviewing and reinforcing essential grammar rules and structures in a business context - Identification and correction of common errors in business writing and speaking - Exercises and activities to improve language accuracy Week 12: Review and Final Evaluation - Reviewing course content and addressing individual needs - Comprehensive review exercises for all language skills in a business context - Final evaluation and feedback session Note: This syllabus serves as a guideline and can be customised based on the specific needs, interests, and proficiency levels of the participants. The course may also include guest speakers or industry-specific case studies to provide further immersion and practical application of language skills.

Attracting candidates and matching them to temporary or permanent job positions with client companies.

Conversation with........................... June O' Sullivan & Mona Sakr.

Duration 2 Days 12 CPD hours This course is intended for Network analysts Network investigators Cisco integrators and partners Overview After taking this course, you should be able to: Describe the stages of the network attack lifecycle and identify ITD solution platform placement based on a given stage Detail how to locate and mitigate email malware attacks Describe email phishing attacks and the steps taken to locate and mitigate them on the network Identify and mitigate data exfiltration threats on the network Identify malware threats on the network and mitigate those threats after investigation The Cisco Integrated Threat Defense Investigation and Mitigation (SECUR202) v1.0 course shows you how to identify, isolate, and mitigate network threats using the Cisco© Integrated Threat Defense solution platform. Through expert instruction and lab-based scenarios, you will be introduced to network threat investigation, and learn how to identify relationships between Cisco products and the stages of the attack lifecycle. This course is the second in a pair of courses (SECUR201) covering the Cisco Integrated Threat Defense (ITD) solution. Network Threat Investigation Introduction Network Attack Introduction Hunting Network Threats in the Enterprise Investigation and Mitigation of Email Malware Threats Examining Email Malware Threats Investigating and Verifying Email Malware Threat Mitigation Investigation and Mitigation of Email Phishing Threats Examining Email Phishing Attacks Configuring Cisco Email Security Appliance (ESA) for URL and Content Filtering Investigating and Verifying Email Phishing Threat Mitigation Investigation and Mitigation of Data Exfiltration Threats Exploiting Vulnerable Network Servers Investigating Data Exfiltration Threats Mitigating and Verifying Data Exfiltration Threats nvestigation and Mitigation of Malware Threats Examining Endpoint Malware Protection Investigating and Mitigating Endpoint Malware Threats

Are your sales people too stressed, running on adrenalin, perhaps driving towards burnout, struggling to reach targets? Wouldn't you rather they delivered consistently good performance, sustainable over longer periods of time, with less stress (for both them and you)? This uniquely empowering workshop will help your team develop naturally high levels of focus, energy and motivation. They will attain a sense of grounded euphoria, giving them a very distinct and ethical edge in selling. A one-day programme, it gives salespeople an introduction to the 'Natural Superheroes' concepts and resources, tools and techniques, to help them improve their sales performance - realising greater sales potential, developing deeper and more profitable client relationships, winning more business. Through this experience, sales teams gain: Information about profiling clients to instantly understand more about their deepest drives and true needs so they can be genuinely met and, where possible, exceeded Insights into deep, honest and very 'real' reasons for sales procrastination - participants are given specific workable strategies they can easily apply to overcome sales resistance, by tapping their natural motivational styles An understanding of communicating at the very highest levels with different people so they truly understand your sales message and have a significantly more positive sales experience A realisation of their very specific natural sales talents as individuals and as a team A deeper level of experience and understanding of what specifically drives their own behaviour and the behaviour of their clients - these unique insights explain not only how but exactly why people behave the way they do An experience of what it takes to be unshakeable under pressure and manage the sales processes and relationships to a positive outcome for all Brand-new insights into working with and handling difficult people across all levels of authority An understanding of the pitfalls and the psychological traps we set ourselves which cause unnecessary stress, anxiety and frustration on a daily basis and, in turn, limit our sales performance Access to very simple and practical tools that massively increase self-awareness, engender accountability and responsibility and develop emotional sales mastery 1 Introducing 'Natural Superheroes' for sales What is a 'Natural Superhero'? Defining emotional intelligence in the context of sales and why it is so important Knowing yourself - why most people don't know themselves at all and how we can understand exactly what drives our behaviour for the purpose of improving sales performance specifically Knowing exactly why others, and specifically clients and team members, behave the way they do - understanding the real motives behind people's good and bad behaviour in a sales meeting Simple steps to freeing yourself of any anxiety, pressure and false sense of limitation when selling Being yourself in sales - why this is not as easy as it sounds but how you can make it effortless How to take control of achieving the sales performance you really need and want for yourself and others Strategies that raise your self-awareness, increase an authentic and sustainable sense of self-confidence, in difficult situations and in moments of crisis 2 Understanding yourself, your team members and your customers - using the Enneagram Introducing the Enneagram and why it is so valuable to sales people and their clients Exploring the 9 types of motivational drives and why people have different reasons for buying from you Core types and wings - understanding the influence of other motivations either side of the core Enneagram type How to confirm the profile of your client - using celebrities from the world of politics, cinema, sports - we explore how to identify each type - what are their core drives, why have they arisen and how can we use these insights to help you in improving your sales performance The 3 levels of behaviour within your personal profile and that of your clients Lookalike Enneagram types - mistaken identities - how to avoid these traps when profiling your clients and your team How to communicate effectively in a sales environment with each of the different Enneagram types - communication strategies for positive impact on morale, performance and, ultimately, sales results How to interpret and make use of the results of your online personal profile - participants complete an online profile before the event and have the opportunity to analyse their results with a view to improving their sales performance How sales teams sabotage their own performance and that of other people within the team - and how to stop it Uncovering your particular edge in a sales role - what unconsciously trips you up as a sales person? How the Enneagram helps us in sustaining a truly great sales performance over time 3 Why positive thinking alone doesn't work in sales Why 'PMA' does not stand for positive mental attitude when selling - learn its alternative meaning that can serve you even more effectively in a sales role 3 steps and exercises that naturally increase PMA The value of making unconscious thinking conscious and how to do this without any pain or discomfort in a sales meeting Why each Enneagram type has a different experience of PMA in terms of their outward behaviour and how to know when you are maximising your sales performance 4 Measuring success How to measure the development of your individual profile as a sales person Development planning and review Into the future - how to continue your Natural Superhero development

Leading end-to-end sales interaction with customers and managing sales internally within an organisation.

Duration 2 Days 12 CPD hours This course is intended for Storage and virtual infrastructure administrators who want to be able to perform initial troubleshooting on their software-defined storage with vSAN Overview By the end of the course, you should be able to meet the following objectives: Describe the software components of vSAN and their roles Diagram how the components relate to each other Use Skyline Health to investigate and help determine failure conditions Use the command-line tools to help determine failure conditions In this two-day course, you focus on learning the tools and skills necessary to troubleshoot VMware vSAN? 7 implementations. You gain practical experience with vSAN troubleshooting concepts through the completion of instructor-led activities and hands-on lab exercises. Course Introduction Introductions and course logistics Course objectives vSAN Architecture Describe the vSAN architecture and components Describe the policy-driven, object-based vSAN storage environment Describe the vSAN software components: CLOM, DOM, LSOM, CMMDS, and RDT Explain the relationships between the vSAN software components Explain the relationship between objects and components Determine how specific storage policies affect components Describe component placement Troubleshooting Methodology Use a structured approach to solve configuration and operational problems Apply troubleshooting methodology to logically diagnose faults and optimize troubleshooting efficiency Troubleshooting Tools Discuss the improvements and added capabilities in Skyline Health for vSAN Use Skyline Health for vSAN to identify and correct issues in vSAN Discuss the ways to run various command-line tools Discuss the ways to access VMware vSphere© ESXi? Shell Use commands to view, configure, and manage your vSphere environment Discuss the esxcli vsan namespace commands Discuss when to use Ruby vSphere Console (RVC) commands Explain which log files are useful for vSAN troubleshooting Use log files to help troubleshoot vSAN problems

Learn how to work with and connect multiple data sets to effectively analyse and report on data. Course overview Duration: 1 day (6.5 hours) Within Excel you have some powerful features to enable you to connect and analyse multiple data sources. Power Query enables you to import and manipulate your data, Power Pivot enables you to connect multiple data sources and create pivot tables and pivot charts from them. This course is an introduction to Power Query and Power Pivot in Excel to get you started on creating a powerful reporting capability. Knowledge of working with Excel workbooks and relational databases would be an advantage. Objectives By the end of the course you will be able to: Import data from multiple data sources Edit and transform data before importing Add extra columns of data Append data Merge data from other tables Create data models Build data relationships Build Pivot Tables Build Pivot Charts Use Slicers and Timeline Filters Content Importing data Data sources Importing data Transforming data Editing your data Setting data types Removing columns/rows Choosing columns to keep Setting header rows Splitting columns Appending queries Appending data from other tables Adding text Columns from example Custom columns Conditional columns Merge queries Setting up and using merge queries Merging in columns of data Creating a data model The data model Multiple data tables Connecting tables Building relationships Relationship types Building visuals from multiple tables Analysing information using pivot tables Creating and modifying a Pivot Table Recalculating the Pivot Table Filtering the Pivot Table Searching the Pivot Table Drilling down to underlying data Customising field names Changing field formatting Pivot charts, slices and timelines Creating Pivot Charts Adding and using Slicers