42791 Learning courses in Bradford delivered Online

Duration 2 Days 12 CPD hours This course is intended for The target audience for the CASM course is Anyone interested in learning about Agile and Scrum from a products and process perspective Process owners and process designers Developers who are interested in helping make processes more agile Managers who are looking to bridge multiple practices into a DevOps environment Employees and managers responsible for designing, re-engineering or improving process Consultants guiding their clients through process improvement and DevOps initiatives Internal and external suppliers Process stakeholders Overview The learning objectives for Certified Agile Service Manager (CASM) include an understanding of: What does it mean to 'be agile?' The Agile Manifesto, its core values, and principles Agile concepts and practices including ITSM, Kanban, Lean and DevOps Learn about SCRUM from a product and process perspective Agile thinking and values into service management Scrum roles, artifacts, and events as it applies to both products and processes The two aspects of Agile Service Management: Agile Process Improvement-ensuring processes are lean and deliver 'just enough' control Agile Process Design-applying Agile practices to process design projects This course provides an introduction to Agile Service Management, the application, and integration of agile thinking into service management processes and process design projects. Agile thinking improves IT?s effectiveness and efficiency and enables IT to continue to deliver value in the face of changing requirements. This course prepares you for the Certified Agile Service Manager (CASM) certification. Why Agile Service Management? Challenges Today What is IT Service Management? What is Agile? Agile Manifesto and Principles What Does It Take To Be Agile? Agile Service Management What is Agile Service Management? Agile Service Management Goals, Objectives and Benefits Two Aspects: Agile Process Engineering & Agile Process Improvement Leveraging Related Guidance DevOps ITIL Site Reliability Engineering Lean Scrum Agile Service Management Roles Relationship to Scrum roles Agile Practice Owner Agile Service Management Team Agile Service Manager Agile Process Engineering Agile Processes How Processes Deliver Value Waterfall vs Agile Process Engineering Relationship to Scrum Events & Artifacts Minimum Viable Process Microprocess Architectures Service Management Architecture Agile Service Management Artifacts Practice Backlog Spring Backlog Increment Agile Service Management Events Planning The Sprint Sprint Planning Process Standups Sprint Review Sprint Retrospective Agile Process Improvement Why Process Improvement is Important Process Improvement Goals Process Improvement Reviews Sustaining Improvements Automation

Are you looking to enhance your Line Management skills? If yes, then you have come to the right place. Our comprehensive course on Line Management will assist you in producing the best possible outcome by mastering the Line Management skills. The Line Management course is for those who want to be successful. In the Line Management course, you will learn the essential knowledge needed to become well versed in Line Management. Our course starts with the basics of Line Management and gradually progresses towards advanced topics. Therefore, each lesson of this Line Management course is intuitive and easy to understand. Why would you choose the Line Management course from Compliance Central: Lifetime access to Line Management course materials Full tutor support is available from Monday to Friday with the Line Management course Learn Line Management skills at your own pace from the comfort of your home Gain a complete understanding of Line Management course Accessible, informative Line Management learning modules designed by experts Get 24/7 help or advice from our email and live chat teams with the Line Management Study Line Management in your own time through your computer, tablet or mobile device A 100% learning satisfaction guarantee with your Line Management course Curriculum Breakdown of the Line Management Course Module 01: Introduction to Line Management Module 02: Coaching and Mentoring Module 03: Supervising, Motivating and Counselling Module 04: Talent Management Module 05: Effective Communication Skills Module 06: Performance Appraisal Management Module 07: Stress Management Module 08: Prioritising and Time Management Module 09: Employee Relations Module 10: Handling Conflict Module 11: Employment Law for Line Managers CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Line Management course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Line Management. It is also great for professionals who are already working in Line Management and want to get promoted at work. Requirements To enrol in this Line Management course, all you need is a basic understanding of the English Language and an internet connection. Career path The Line Management course will enhance your knowledge and improve your confidence in exploring opportunities in various sectors related to Line Management. Human Resources Manager: £40,000 to £65,000 per year Operations Manager: £45,000 to £70,000 per year Project Manager: £38,000 to £60,000 per year Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

Talent Management is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Talent Management and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills. Consisting of several modules, the course teaches you everything you need to succeed in this profession. The course can be studied part-time. You can become accredited within 02 hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website. Why Choose Teachers Training Some of our website features are: This is a dedicated website for teaching 24/7 tutor support Interactive Content Affordable price Courses accredited by the UK's top awarding bodies 100% online Flexible deadline Entry Requirements No formal entry requirements. You need to have: Passion for learning A good understanding of the English language Be motivated and hard-working Over the age of 16. Certification CPD Certification from The Teachers Training Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish. You can get your digital certificate (PDF) for £4.99 only Hard copy certificates are also available, and you can get one for only £10.99 You can get both PDF and Hard copy certificates for just £12.99! The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs. Section 1: Introduction Unit 1: Welcome to the Course 00:05:00 Unit 2: Highlights of this Course 00:02:00 Unit 3: Little Activity Before We Begin 00:01:00 Section 2: Core Concepts of Talent Management Unit 1: What is Talent Management 00:03:00 Unit 2: Responsibilities of Talent Management Manager & Professionals 00:02:00 Unit 3: Talent Management - The Pillar of Successful Business 00:03:00 Unit 4: Benefits of Talent Management: How Your Business Can Benefit From it 00:02:00 Section 3: Top Reasons Why Employees Leave an Organisation Unit 1: Top 5 Reasons Why Employees Leave an Organisation 00:04:00 Unit 2: Reasons of Employee Resignation 00:03:00 Section 4: Understanding the Needs and Mindset of Employee Unit 1: The Most Useful Technique to Understand Employee's Needs 00:04:00 Unit 2: Practical, Real Life Example of Retaining Top Employees & Keeping Them Engaged 00:06:00 Section 5: Steps to Create an Effective Talent Management Plan Unit 1: Steps in Talent Management Process 00:02:00 Section 6: Talent Acquisition Unit 1: What is Talent Acquisition and How it is Different from Recruitment 00:02:00 Unit 2: Steps for Talent Acquisition 00:05:00 Unit 3: Top Selection Tests to Check Candidate's Potential 00:04:00 Unit 4: Manpower Estimation Template 00:01:00 Section 7: How to Develop High Potential Employees Unit 1: Creating a High Performance Workforce 00:05:00 Unit 2: Understanding the Difference Between Training & Development 00:02:00 Unit 3: Why Talent Development Process is Important for Employees 00:02:00 Unit 4: How Talent Development Helps in Running the Business Smoothly 00:03:00 Unit 5: Steps in Developing the Talent 00:02:00 Section 8: Evaluating Performance Unit 1: Performance Management 00:02:00 Unit 2: Performance Appraisal 00:01:00 Unit 3: Tools for Performance Appraisal 00:06:00 Section 9: "SMR" - How You Can Retain the Employees Using This Formula Unit 1: 'SMR' - How You Can Retain the Employees Using This Formula 00:04:00 Section 10: How to Retain High Potential Employees Unit 1: Employee Retention Programs 00:02:00 Unit 2: Onboarding Correctly 00:06:00 Unit 3: Career Planning & Development 00:04:00 Unit 4: Job Promotions 00:05:00 Unit 5: Using Motivators (Financial & Non- Financial Incentives) 00:05:00 Unit 6: Maintaining Work-Life Balance 00:02:00 Section 11: Bonus Section: Achieving Business Goals with Talent Management Strategy Unit 1: Return on Investment (ROI) on Talent Management 00:03:00 Unit 2: Achieving Business Goals with The Help of Talented Workforce 00:04:00 Unit 3: Little Activity Before We Began - Here's What You Learnt 00:02:00 Section 12: Conclusion Unit 1: Conclusion 00:01:00 Resources Resources - Talent Management Level 3 00:00:00

About this Virtual Instructor Led Training (VILT) The objective of this 4-half-day Virtual Instructor Led Training (VILT) course is to equip participants with the required knowledge so that they can define and implement an effective oil analysis programme, monitor the condition of transformers and understand oil analysis reports as part of their maintenance strategy. This VILT course is delivered in partnership with ENGIE Laborelec. Training Objectives Participants will be able to go through the following areas during the VILT course: Condition monitoring of power transformers through oil analyses: Transformer Health Index, Transformer Fleet Condition Assessment, Risk Matrix Best practices Which oil analyses/how frequent DGA: focus on partial discharges, sparking, stray gassing, catalytic effects / interpretation systems. Interpretation of results Why and when to perform electrical measurements? International standards: IEEE, IEC, Duval, ASTM, etc Maintenance guidelines Trending and reporting Sampling techniques Use of online monitoring for DGA/water: implementation and real-case advantages etc: New developments: importance of methanol as ageing marker, temperature correction of ageing markers, stray gassing of oils in service etc REX, case studies and real-case exercises concerning power transformers within generation and high-voltage grids Discussion of reports on power transformers Use of unused insulating transformer oils Market trends in the use of inhibited and uninhibited oils Differences, advantages and drawbacks of uninhibited compared with inhibited oils Importance of additives, oxidation stability tests, stray gassing, etc Target Audience The VILT course is intended for a wide audience, including professionals who are maintenance staff, electrical engineers and asset managers responsible for transformers. Typical industries are powerplants, high voltage grids or large industrial sites. Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 4 half-day sessions comprising 4 hours per day, with 2 x 10 minutes break per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 4 half-day sessions, 4 hours per session (16 hours in total). This VILT course is delivered in partnership with ENGIE Laborelec. Trainer Your expert course leader is a senior expert in the field of insulating and lubricating oils and of condition monitoring of power transformers and turbines. He has 20 years of experience within power industry and since 2010 Key Expert within the ENGIE group. He has worked on various international projects such as the Al Dur power plant in Bahrain, Shuweihat II power plant in UAE, PP11 and Jubail Marafiq power plants in Saudi Arabia and Sohar II and Barka III power plants in Oman. He has also been involved in consulting work in Malaysia for Hyrax Oil. Other assignments include Shell, Nynas, Total, ABB, Alstom, CG Pauwels in Europe. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

Learning Outcomes After completing this course, learners will be able to: Learn Python for data analysis using NumPy and Pandas Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks Understand Python for data science and machine learning Get acquainted with Recommender Systems with Python Enhance your understanding of Python for Natural Language Processing (NLP) Description Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career Path After completing this course, you can explore various career options such as Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions. Course Content Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Machine Learning using Python : A Bootcamp 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

This Coaching Program is unlike any other Coaching certification in the Market, It gives you the exclusive opportunity to be qualified as an Executive & Life Coach, as well as learn the NLP tools and the business building aspect.

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

This practitioner-level 4 award encourages individuals in IT and technical roles to explore the many teams, ideas, and functions within an organisation and maximise their contribution. You will achieve this by learning the key concepts and considering behaviour and response in different scenarios.

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

From Cowardly Lion to Lion-Hearted Leader! It takes courage to deliver heartfelt and authentic acknowledgment-even when, and especially if, it makes you feel vulnerable. When you summon up the necessary courage to do this, you will inspire all of your stakeholders to perform their best and reach their highest levels of engagement. People simply can't do enough to get the job done when they feel valued and appreciated. They become loyal to the organization and committed to their jobs and to their vision of what they can accomplish. Learn how to generate this transformation and see the amazing results! This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.