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This ultimate course to kickstart your Python journey from scratch. This comprehensive course covers all the essential concepts of Python, providing explanations, examples, and practical implementations. Designed with beginners in mind, our goal is to help you learn and master Python by building a variety of projects.

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.

Business Etiquette course will make you learn advanced strategies and tips to sharpen your communication skills and professional image using best etiquette practices.

Duration 4 Days 24 CPD hours This course is intended for This course is intended for: Network administrators Network engineers with little or no programming or Python experience Network managers Systems engineers Overview After taking this course, you should be able to: Create a Python script Describe data types commonly used in Python coding Describe Python strings and their use cases Describe Python loops, conditionals, operators, and their purposes and use cases Describe Python classes, methods, functions, namespaces, and scopes Describe the options for Python data manipulation and storage Describe Python modules and packages, their uses, and their benefits Explain how to manipulate user input in Python Describe error and exception management in Python Describe Python code debugging methods The Programming for Network Engineers (PRNE) v2.0 course is designed to equip you with fundamental skills in Python programming. Through a combination of lectures and lab experience in simulated network environments, you will learn to use Python basics to create useful and practical scripts with Netmiko to retrieve data and configure network devices. Upon completion of this course, you should have a basic understanding of Python, including the knowledge to create, apply, and troubleshoot simple network automation scripts. Course Outline Introducing Programmability and Python for Network Engineers Scripting with Python Examining Python Data Types Manipulating Strings Describing Conditionals, Loops, and Operators Exploring Classes, Methods, Functions, Namespaces, and Scopes Exploring Data Storage Options Exploring Python Modules and Packages Gathering and Validating User Input Analyzing Exceptions and Error Management Examining Debugging Methods

Duration 2 Days 12 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 This is a two day instructor-led course that focuses on the skills and knowledge needed to implement and configure a Cisco TelePresence Management Suite and Cisco TelePresence Management Suite Extensions. Students will configure TMS, TMSPE, TMSXE, VCS and UCM for management of endpoints. Students will also learn to Configure and Schedule Conferencing, Administrative Tasks, Set up Microsoft Active Directory Users, Manage Conferences and Provision Devices. Installing Cisco Telepresence Management Server Windows Server Installation SQL Server Installation Server Pre-requisites and configuration Installing TMS Installing TMS Provisioning Extensions Release and Option Keys Upgrading TMS Backup TMS Configuring Cisco TelePresence Management Suite (TMS) Initial Configuration Endpoint Configuration Adding User Accounts and Profiles Groups and Permissions Active Directory Lookup Configuration Templates Setting Configuration VCS Configuration for TMS Direct Endpoint Management VCS/TMS Direct Managed Endpoint Features CUCM Configuration for TMS Direct Endpoint Management ? CUCM TMS Responsibilities CUCM Responsibilities Findme Configuration Phonebooks & Phonebook Sources Booking Conferencing Conference Creation Advanced Conference Settings Booking & Scheduling Conference Monitoring Dial Plans, Configuration Templates Scheduler/Smart Scheduler Reporting on TMS Reporting Basics Creating a Report Using Reporting Templates Bridge Utilization Call Detail Records Billing Code Statistics Conferences System Managing and Troubleshooting TMS Using the Logs Cisco TMS Ticketing System Troubleshooting VCS Registrations Troubleshooting CUCM Registrations System Maintenance

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With this course, you will learn the bare-bone basics of C# by building console applications from scratch. You will first develop the application and then test it to gain a solid understanding of C# fundamentals. You will also explore the latest features released in C# 7.

Our Aim Is Your Satisfaction! Offer Ends Soon; Hurry Up!! Are you looking to improve your current abilities or make a career move? Our unique Microsoft Excel course might help you get there! Expand your expertise with high-quality training - study the Microsoft Excel course 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 the Microsoft Excel online training course. The Microsoft Excel 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 the Microsoft Excel course, an instant e-certificate will be exhibited in your profile that you can order as proof of your skills and knowledge. Add these amazing new skills to your resume and boost your employability by simply enrolling in this course. This Microsoft Excel training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence! Why Prefer Us? Opportunity to earn a certificate accredited by CPDQS. Get a free student ID card!(£10 postal charge will be applicable for international delivery) Innovative and Engaging Content. Free Assessments 24/7 Tutor Support. Take a step toward a brighter future! *** Course Curriculum *** Here are the topics you will cover in the Course: >> Microsoft Excel - Beginner, Intermediate & Advanced << Unit 01: Excel from A-Z Course Introduction Unit 02: Getting Started With Excel Unit 03: Values, Referencing and Formulas Unit 04: Intro to Excel Functions Unit 05: Adjusting Excel Worksheets Unit 06: Visually Pleasing Cell Formatting Unit 07: How to Insert Images and Shapes! Unit 08: Visualize Data with Charts Unit 09: Excel's Printing Options Unit 10: Benefits of Using Excel Templates Unit 11: Working with Excel Datasets Unit 12: Excel Database Functions Unit 13: Excel Data Validation Unit 14: Excel PivotTables Unit 15: Excel's PowerPivot Add-In Unit 16: Excel's Conditional Functions Unit 17: Excel's Lookup Function Unit 18: Text Based Functions in Excel Unit 19: Auditing Formulas and Views in Excel Unit 20: Excel's 'what If?' Tools Unit 21: Welcome to Excel VBA Unit 22: The VBA Language Unit 23: Writing VBA Code Unit 24: Important VBA Tools and Logic Unit 25: Excel VBA Lopps Unit 26: Triggering Macros Unit 27: Excel User Forms Unit 28: Starting a Career in Excel Tutor Support Once you enrol in our Microsoft Excel Course with the Academy for Health & Fitness, you are allocated your tutor. The tutor's guidance and assistance will be available throughout your studies with the college. He/ she will evaluate your work and will provide you with regular feedback on your progress. CPD 15 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this Microsoft Excel course. This course is open to everybody. Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this course, you are to start your career or begin the next phase of your career. Certificates CPD Accredited Certificate Digital certificate - £10 CPD Accredited Certificate Hard copy certificate - £29 If you are an international student, then you have to pay an additional 10 GBP as an international delivery charge.

Without committed deliverers, the job, supplies, resources, and gifts would never reach their target. From delivering items to completing transactions, drivers are essential points of contact for clients and frequently serve as brand ambassadors. This Delivery Driving course will introduce you to the world of delivery driving. Transporting parcels and other items from a mail facility to a residential or commercial address is the responsibility of a delivery driver. Their responsibilities include loading cargo, using navigational aids to reach the correct place, and delivering packages. A delivery driver's tasks and duties include packing, loading, and unloading delivery vehicles and delivering packages along predetermined paths to customers. Keeping in constant contact with route dispatchers is also important. This Delivery Driving course will focus on a certain aspect of delivery characteristics and will walk you through the fundamentals from scratch. You will be shown the typical delivery and collecting guidelines. Along with mapping out routes, recording information, scheduling tasks according to traffic regulations, maintaining your vehicle in good shape, and many other activities. Even "zero-touch" delivery during the pandemic and for homes infected with Covid-19 or other infectious diseases are covered in the course. Enrol in the Delivery Driving course now and learn to carry stock to any given area. Learning Outcomes: Know how to handle and move various materials and objects. Be able to understand the importance of route planning and record maintenance. Acquire the skills to drive safely in large vehicles and obey the Highway Code. Learn how to stay well and keep vehicles in good condition at all times. Get to know about safety regulations and hygiene. Why Prefer Us? Opportunity to earn a certificate accredited by CPDQS. Get a free student ID card!(£10 postal charge will be applicable for international delivery) Innovative and Engaging Content. Free Assessments 24/7 Tutor Support. Take a step toward a brighter future! *** Course Curriculum *** Here is the curriculum breakdown of the Delivery Driving course: Module 01: Introduction to the Delivery Driving Module 02: Delivery and Collection Module 03: Maintaining Records Module 04: Effective Route Planning Module 05: Stress Management Module 06: Driver CPC Module 07: Maintain Traffic Laws Module 08: Parking and Reversing Module 09: Driving in Adverse Weather Condition Module 10: Safety Regulations and Hygiene Module 11: Vehicle Maintenance and Safety Module 12: Zero Contact Delivery Methods Assessment Process Once you have completed all the modules in the Delivery Driving course, you can assess your skills and knowledge with an optional assignment. Certificate of Completion The learners have to complete the assessment of this Delivery Driving course to achieve the CPDQS accredited certificate. Digital Certificate: £10 Hard Copy Certificate: £29 (Inside UK) Hard Copy Certificate: £39 (for international students) CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this Delivery Driving course. This course is open to everybody. Requirements You will not need any prior background or expertise to enrol in this course. Career path By enrolling in this Delivery Driving programme, you will gain a thorough understanding of the knowledge and skills required to succeed in this line of work. For organisations and neighbourhood companies, this may make it easier for job seekers to find and apply for driving and delivery positions Certificates Certificate of completion Digital certificate - £10