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Dive into the realm of effective management with our course, 'Essentials of Becoming a Manager and Managing Teams'. Navigate the challenges of stepping into a managerial role in 'New Manager Mastery'. Discover the art of selecting the perfect candidate for your team in 'A Masterclass in Hiring For Your Teams' and foster an environment that promotes continuous growth with 'Creating a Culture of Learning in Your Organisation'. Equip yourself with top-tier interview techniques, manage stress, lead with conviction, conduct impactful meetings, and delve into the intricacies of advanced team management. Learning Outcomes Understand the transition intricacies and best practices of becoming a new manager. Master the strategies to effectively hire and onboard team members. Establish and nurture a growth-oriented learning culture within the organisation. Acquire techniques to proficiently manage stress, ensuring personal and team well-being. Lead meetings effectively and gain insights into advanced aspects of team leadership. Why buy this Essentials of Becoming a Manager and Managing Teams course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Essentials of Becoming a Manager and Managing Teams there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Essentials of Becoming a Manager and Managing Teams course for? Aspiring managers looking to transition into leadership roles seamlessly. Team leaders seeking to refine their hiring and team-building strategies. Organisational heads aiming to instil a robust learning culture. Professionals wanting to enhance their interview conduction skills. Individuals eager to develop leadership attributes and manage workplace stress. Prerequisites This Essentials of Becoming a Manager and Managing Teams does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Essentials of Becoming a Manager and Managing Teams 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. Career path Manager: £30,000 - £45,000 Team Leader: £25,000 - £35,000 HR Specialist: £28,000 - £40,000 Training and Development Officer: £27,000 - £37,000 Stress Management Consultant: £35,000 - £50,000 Meetings Coordinator: £22,000 - £30,000 Course Curriculum Section 01: New Manager Mastery What to Expect & About Me 00:02:00 Well Done! 00:02:00 It's a Different Job 00:03:00 You're Scared? Good! 00:02:00 The Manager Mindset 00:03:00 Set Expectations 00:04:00 Get Learning Leadership! 00:03:00 What is Culture? 00:02:00 Culture of Fairness 00:08:00 People Are Crazy 00:02:00 Mastering One To One Meetings 00:05:00 Manager to Coach 00:07:00 Me? A Psychologist? 00:02:00 Emotional Intelligence 00:05:00 Mastering Performance Evaluations 00:07:00 Welcoming New Starters 00:07:00 How to Hire a Diverse Workforce 00:06:00 Get the Basics Right Every Time 00:02:00 Conclusion 00:02:00 Section 02: A Masterclass In Hiring For Your Teams Introduction 00:02:00 The Importance of the Interview Process 00:03:00 What's Wrong With The Interview Process 00:07:00 Human Vs. Algorithm 1 00:02:00 Unconscious Interviewer Biases 00:03:00 Be Data Driven 00:03:00 Let's See You In Action 00:02:00 Keep it Relevant 00:02:00 Seriously Avoid These Topics 00:03:00 Benefits of a Diverse Workforce 00:03:00 How to Hire a Diverse Workforce 00:06:00 Hunger and Desire Over Skills 00:03:00 Culture Addition, Not Culture Fit 00:03:00 Compliment, Backup or Add To The Team 00:05:00 Hiring The Right Rank 00:04:00 What Are Your Location Restrictions 00:01:00 The Risk Of Delivering Less 00:02:00 The Risk Of Burnout 00:02:00 The Risk Of Losing The Headcount 00:02:00 Confirm The Job Is What They Think It Is 00:02:00 Sell Yourself, The Team & The Company 00:03:00 Don't Be A Jerk 00:02:00 It's Not About Making You Look Good 00:02:00 Managing Recruitment Agencies 00:04:00 Communications With The Candidate 00:03:00 Be Ready 00:03:00 Assign A Buddy 00:02:00 You Got It Wrong! 00:02:00 Conclusion 00:03:00 Section 03: Creating a Culture Of Learning In Your Organization What To Expect From The Course 00:02:00 Why Even Bother? 00:07:00 What Learning Used To Be Like 00:02:00 Individual Learner 00:01:00 Everyone Says They Are A Self-Learner 00:10:00 Online Communities 00:02:00 Embedding Learning Into Daily Life 00:03:00 Teach It To Learn It 00:02:00 Learning New Vs Becoming Expert 00:01:00 Listen Faster 00:01:00 Tom's Approach 00:02:00 The Paid Training Course Is History 00:03:00 Develop The Right Mental Habits 00:06:00 Make It Easier On Yourself 00:02:00 Manager Responsibilities 00:01:00 Are You Really A Centre Of Excellence? 00:02:00 Learning As Part Of Performance Evaluation 00:02:00 Don't Worry If People Leave 00:01:00 The Benefits Of A Skilled User Base 00:02:00 Push It, Push It, Push It 00:01:00 The Golden Hour 00:09:00 Internal Mobility 00:03:00 Team Secondment 00:02:00 Make People Good Enough To Quit 00:03:00 Lunch & Learns 00:02:00 Personalised Learning Plans 00:02:00 Use It Or Lose It 00:02:00 Certifiably Great 00:02:00 Get A Learning Buddy 00:02:00 Senior Leaders Responsibilities 00:01:00 Walk It From The Top 00:02:00 Learning Wherever, Whenever 00:02:00 Show Us The Data 00:02:00 Create Learning Champions 00:02:00 Gamification 00:02:00 Sell, Sell, Sell 00:03:00 Don't Block The Useful Sites 00:03:00 Create A Varied Library Of Resources 00:02:00 Encourage Conferences And Seminars 00:04:00 The Feedback Loop 00:02:00 Learning Is Expensive 00:03:00 Learning Takes Time 00:02:00 Concluding Remarks 00:04:00 Section 04: Job Interview Practicals: Complete Interview Skills Training Interview Masterclass - Maximize Your Chances of Success 00:03:00 Get Yourself Game Ready! 00:08:00 Final Prep Tips! 1-2 Days Before Interview 00:03:00 It's Interview Day! How to ACE the interview! 00:07:00 Positive Personality Traits Interviewers Are Desperate For 00:07:00 How to Engage & Impress in Conversation 00:05:00 The Art of Asking Questions 00:08:00 How to Answer Questions Using Skill & Psychological Tricks 00:10:00 After Interview - Still More You Can Do 00:05:00 Staying Professional 00:02:00 That Wasn't What You Expected!! 00:03:00 Waiting For The Answer 00:02:00 Let's Review The Tips - So Much To Consider 00:04:00 Section 05: Beating Burnout - Practical & Complete Stress Management Introduction to Overcoming Burnout 00:03:00 The Problem of Burnout in Modern Workplaces 00:06:00 Symptoms of Burnout - Do You Have It? 00:03:00 How Individuals Can Fight Back Against Burnout 00:12:00 How Leaders Can Create A Burnout Free Culture 00:10:00 Let's Review The Advice - What's Important? 00:03:00 Section 06: Practical Leadership: Complete Guide To Great Leadership Characteristics of Great Leaders - Introduction 00:02:00 Honesty, Coaching & The Mission 00:08:00 Empathy, Togetherness & Feedback 00:06:00 Change, Authenticity & Enablement 00:05:00 Perspective, Empowerment & Emotional Intelligence 00:05:00 My Favourite Tips & Bonus! 00:05:00 Section 07: Mastering Meetings - A Complete Practical Guide To Meetings What to Expect 00:04:00 What & Why? 00:03:00 The Cost of Meetings 00:02:00 Red Amber & Green Meetings 00:06:00 Do You Need A Meeting? 00:04:00 Timing Considerations 00:07:00 Contents of the Invite 00:03:00 Scheduling Etiquette 00:07:00 Considerations for Externals 00:05:00 The Meeting as an Opportunity 00:02:00 Chairing Meetings 00:01:00 Your Agenda 00:08:00 Kicking Off 00:06:00 During The Meeting 00:08:00 After Meeting Minutes 00:06:00 Considerations 00:06:00 Concluding Remarks 00:02:00 Section 08: Advanced People Management - What They Don't Tell You About Team Leading! What To Expect & About Me 00:02:00 Management Vs. Coaching 00:07:00 What Is Culture? 00:02:00 Culture of Fairness 00:08:00 How To Be A Great Listener 00:05:00 Mastering Performance Evaluations 00:07:00 Welcoming New Starters 00:07:00 Stupid Things NOT To Say To Your Team 00:07:00 Your Team Made A Mistake 00:06:00 Mastering Crucial Conversations 00:05:00 When to Fire Someone 00:06:00
Duration 2 Days 12 CPD hours This course is intended for This introductory-level course is intended for Business Analysts and Data Analysts (or anyone else in the data science realm) who are already comfortable working with numerical data in Excel or other spreadsheet environments. No prior programming experience is required, and a browser is the only tool necessary for the course. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Throughout the hands-on course students, will learn to leverage Python scripting for data science (to a basic level) using the most current and efficient skills and techniques. Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore (to a basic level): How to work with Python interactively in web notebooks The essentials of Python scripting Key concepts necessary to enter the world of Data Science via Python This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it?s often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. An Overview of Python Why Python? Python in the Shell Python in Web Notebooks (iPython, Jupyter, Zeppelin) Demo: Python, Notebooks, and Data Science Getting Started Using variables Builtin functions Strings Numbers Converting among types Writing to the screen Command line parameters Flow Control About flow control White space Conditional expressions Relational and Boolean operators While loops Alternate loop exits Sequences, Arrays, Dictionaries and Sets About sequences Lists and list methods Tuples Indexing and slicing Iterating through a sequence Sequence functions, keywords, and operators List comprehensions Generator Expressions Nested sequences Working with Dictionaries Working with Sets Working with files File overview Opening a text file Reading a text file Writing to a text file Reading and writing raw (binary) data Functions Defining functions Parameters Global and local scope Nested functions Returning values Essential Demos Sorting Exceptions Importing Modules Classes Regular Expressions The standard library Math functions The string module Dates and times Working with dates and times Translating timestamps Parsing dates from text Formatting dates Calendar data Python and Data Science Data Science Essentials Pandas Overview NumPy Overview SciKit Overview MatPlotLib Overview Working with Python in Data Science Additional course details: Nexus Humans Python for Data Science: Hands-on Technical Overview (TTPS4873) 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 Python for Data Science: Hands-on Technical Overview (TTPS4873) 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 Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques.Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course.This skills-focused ccombines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Applied AI: Building Recommendation Systems with Python (TTAI2360) 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 Applied AI: Building Recommendation Systems with Python (TTAI2360) 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 This is a basic-level programming course designed for attendees with prior development experience in another language, such as COBOL, 4GL, Mainframe or other non-object oriented languages. This course is not geared for non-developers. Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in core OO coding and Java development skills, coupling the most current, effective techniques with the soundest industry practices. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working within in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand what OO programming is and what the advantages of OO are in today's world Work with objects, classes, and OO implementations Understand the basic concepts of OO such as encapsulation, inheritance, polymorphism, and abstraction Understand not only the fundamentals of the Java language, but also its importance, uses, strengths and weaknesses Understand the basics of the Java language and how it relates to OO programming and the Object Model Work with the Modular system (Project Jigsaw) Understand and use classes, inheritance and polymorphism Understand and use collections, generics, autoboxing, and enumerations Process large amount of data using Lambda expressions and the Stream API Abstract, static and private methods in interfaces Take advantage of the Java tooling that is available with the programming environment being used in the class Java 11 features covered: Using the Local Variable Type in Lambda expressions; Updates made to the String API This course provides hands-on Java 11 training for developers who have little or no prior working knowledge of object-oriented programming languages such as C, COBOL, and 4GL. You will learn the best practices for writing great object-oriented programs in Java 11, using sound development techniques, new improved features for better performance, and new capabilities for addressing rapid application development. Special emphasis is placed on object oriented concepts and best practices. A First Look The Java Platform Using the JDK The Eclipse Paradigm Getting Started with Java Writing a Simple Class Adding Methods to the Class OO Concepts Object-Oriented Programming Inheritance, Abstraction, and Polymorphism Essential Java Programming Language Statements Using Strings Specializing in a Subclass Fields and Variables Using Arrays Local-Variable Type Inference Java Packages and Visibility Object Oriented Development Inheritance and Polymorphism Interfaces and Abstract Classes Introduction to Exception Handling Exceptions Java Developer's Toolboxÿ Utility Classes Java Date/Time Advanced Java Programming Introduction to Generics Lambda Expressions and Functional Interface Working with Collections Collections Using Collections Stream APIÿ Streams Collectors The Java Module System Introduction to the Module System Time Permitting Formatting Strings Introduction to Annotations Java 12 and beyond Additional course details: Nexus Humans Basic Java 11 and OO Programming for Developers New to OO (TT2120-J11) 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 Basic Java 11 and OO Programming for Developers New to OO (TT2120-J11) 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 Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview This skills-focused combines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques. Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Building Recommendation Systems with Python (TTAI2360) 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 Building Recommendation Systems with Python (TTAI2360) 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.