2519 Evaluation courses delivered Online

Masterclasses? Refreshers? Introductions? It depends what you're looking for and where you want to pitch them, but here are six tried-and-tested highly focused sessions that organisations can take individually or as a series, to help develop their teams' project management capabilities one topic at a time. Objectives for each individual session are set out below, as part of the session outlines. Taken together, as a series, however, these modules are an ideal opportunity to develop your team's levels of project management capability maturity, whether that's by introducing them to the basic principles, refreshing them on best practice, or giving them the opportunity to really drill down into a specific area of challenge in your particular operating environment. Session outlines 1 Stakeholder management Session objectives This session will help participants: Understand why stakeholders matter to projects Be able to identify and engage stakeholders Be able to categorise stakeholders by their significance 1 Key principles What does 'stakeholder' mean - in theory? What does this mean in practice? Why stakeholders matter Consequences of missing stakeholders The stakeholder management process:IdentifyAssessPlanEngage 2 Identifying stakeholders Rapid listing CPIG analysis PESTLE analysis Drawing on the knowledge and experience of others Other ways to identify stakeholders 3 Assessing stakeholders Which stakeholders are significant? Stakeholder radar Power-interest maps Power-attitude maps 4 Planning The adoption curve Dealing with obstacles Who should engage which stakeholder? How should the project's organisation be structured? How will communication happen? 5 Engaging Seven principles of stakeholder engagement 2 Requirements and prioritisation Session objectives This session will help participants: Understand how clarity of requirements contributes to project success Use different techniques for prioritising requirements Agree requirements with stakeholders Manage changes to requirements 1 Understanding and managing stakeholder needs and expectations What are 'requirements'? What is 'requirements management'? Sources of requirements - and the role of stakeholders Are stakeholders sufficiently expert to specify their needs? Do they understand the detail of what they want, or do they need help to tease that out? What do stakeholders want to achieve? Working within constraints Prioritising requirements - three techniques 2 MoSCoW prioritisation 'Must have', should have', 'could have, 'won't have this time' When to use MoSCoW 3 The Kano Model Customer satisfaction - 'attractive' and 'must-be' qualities When to use Kano 4 Value-based prioritisation Understanding risk v value Using risk v value to prioritise features and schedules 5 Agreeing requirements Perfect v 'good enough' Establishing acceptance criteria Requirements traceability Agreeing project scope 6 Changing requirements Why requirements change Why change control matters Impact on projects A formal change control process Paying for change - managing change for different types of project 3 Estimating Session objectives This session will help participants: Understand the different purposes estimates satisfy Be able to use different estimating techniques Understand how to achieve different levels of accuracy 1 Key principles What's an estimate? Informed guesswork What needs to be estimated? Costs, resources, effort, duration Tolerances Precision v accuracy 2 Estimating through the lifecycle Start Plan Do 3 Early estimates Comparative ('analogous') estimating Parametric estimating Using multiple estimating techniques 4 Bottom-up estimating Bottom-up ('analytical') estimating Pros Cons 5 Three-point estimating Three-point ('PERT': Programme Evaluation and Review Technique) estimating Uncertainty and the range of estimates Calculating a weighted average Three-point with bottom-up 4 Scheduling Session objectives This session will help participants: Understand how to create a viable schedule Be able to use different forms of schedule Understand the concept of the critical path 1 Key principles The planning horizon Rolling wave planning Release planning 2 Viable scheduling Creating a viable schedule Define the scope Sequence the work Identify the risks and build in mitigations Identify the resources Estimate the effort and durations Check resource availability Refine until a workable schedule is produced 3 Critical path analysis The critical path Network diagrams Sequence logic Practical application:Network diagram with estimated durationsThe 'forward pass'The 'backward pass'Calculating total floatIdentifying the critical pathCalculating free float Gantt charts 5 Risk and issue management Session objectives This session will help participants: Understand the difference between risks and issues Be able to identify and assess risks Understand ways of mitigating risks Manage issues 1 Key principles Understanding risk Threats and opportunities The risk management processPreparation - proactive risk managementThe process - identify, assess, plan, implementStakeholder communication Roles and responsibilities Risk management strategy The risk register Risk appetite 2 Risk identification Brainstorming Interviews Assumption analysis Checklists 3 Risk assessment and prioritisation Probability, impact and proximity Triggers Qualitative risk assessment Qualitative impact assessment Qualitative probability assessment Probability / impact grid Bubble charts Risk tolerance 4 Planning countermeasures To mitigate or not to mitigate? Categories of risk response Avoid and exploit Reduce and enhance Transfer Share Accept Contingency Secondary risks 5 Issue management What is an issue? Tolerances Issues and tolerances The PRINCE2 view of issues Ownership of issues An issue management process Issue register 6 Budgeting and cost control Session objectives This session will help participants: Understand what to include in a budget - and why Choose - and use - the appropriate estimating technique Align the budget with the schedule Understand how to monitor spend and control costs Trouble-shoot effectively to get projects back within budget Session format Flexible. The session can be tailored to the participants' average level of project management maturity - a 60-minute session (delivered virtually) is an effective introduction. A 90-minute session allows for more in-depth treatment. A half-day session (face-to-face or virtual) gives time for a more challenging workshop, particularly to discuss specific cost control issues with any of the participants' current projects. 1 Where is the money coming from? Can we pay from revenue? Do we need to borrow? How long will the project take to pay back? The lifecycle of the budget Through-life costs Stakeholder involvement 2 Estimating costs Reminder: the relationship between estimates Reminder: possible estimating techniques What do we need to estimate?PeopleEquipmentMaterialsFacilities and operating costsWork package estimateEstimated project costs Estimating agile projects 3 Aligning budget and schedule Scheduling and financial periods Spreading the budget 4 Reserves and agreeing the budget Contingency reserve Management reserve Agreeing the budget 5 Cost control Planned spend over time Actual spend over time Work completed over time Evaluating different scenarios: delivery v spend 6 Trouble-shooting Why are we where we are? What has caused the project to spend at the rate it is? Why is it delivering at the rate it is? What are the root causes? What can we do about it?

Introduction to Project Management: Virtual In-House Training This course provides practical insights into what is project management and how it is performed in a structured manner. This course provides practical insights into what is project management and how it is performed in a structured manner. You will learn how projects are selected, initiated, planned, executed, monitored and control, as well as closed, which could serve you ubiquitously. The goal of this course is to provide a minimally essential orientation to practical project management concepts, tools, and techniques. You will be provided with enough of these that can be applied from both a project manager and a key stakeholder perspective. What you Will Learn You will learn how to: Articulate on the basics of the project management profession Explain project management terms and concepts in practice Speak on how projects originate in mature organizations Employ a disciplined approach to initiating, planning, and managing projects to closure Identify and describe the roles and responsibilities of key project stakeholders Consider standard project processes to implement based upon the PMBOK® Guide Getting Started Introductions Course orientation Participants' expectations Foundation Concepts Key terms and concepts Organizational framework Leadership framework Originating and Initiating Originating projects Initiating projects Planning Planning overview Scope and quality planning Resources and risk planning Schedule and cost planning Project baselining Executing and Controlling Executing Monitoring and Controlling Closing Project closing overview Closing administratively Closing financially Summary and Next Steps Review of goals, objectives, key concepts, and expectations Evaluations

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Getting Started The University of Lancashire offers a comprehensive Master of Laws (LLM) Top-Up programme meticulously designed to provide a deep and specialised legal education. Renowned for its rigorous curriculum and distinguished faculty, this programme is the preferred choice for experienced professionals and aspiring lawyers seeking to enhance their expertise. Law is a fast-changing and increasingly complex area impacting most professional, commercial and regulatory work aspects. You also don't need a legal background to study the (LLM) Master of Laws. The programme is designed for professionals seeking to expand their knowledge and advance their careers. You'll critically evaluate areas of law and the way they operate in the domestic, European, and international contexts. Through your dissertation, you'll develop critical analytical and research skills that will serve you well in any legal setting. The extensive e-law library facility of UCLAN offers you access to many legal and academic sources from within and outside the jurisdiction, providing you with the resources you need to succeed in your studies. Additionally, you'll be able to enhance your employability skills by gaining additional qualifications in alternative dispute resolution, specifically international arbitration and mediation. With a graduation ceremony held on campus grounds, you'll have the opportunity to celebrate your achievements with your peers, professors, and family members. Don't miss out on this exciting opportunity to take your legal career to the next level. The Master of Laws (LLM) Top-Up, awarded and delivered by the University of Central Lancashire through distance learning. School of Business and Technology London partners with Chestnut Education Group to promote this programme. About Awarding Body Founded in 1828, the University of Central Lancashire is a public university based in Preston, Lancashire, England. Today, UCLAN is one of the largest in the United Kingdom, with a student and staff community of nearly 38,000. At present, the University has academic partners in all regions of the globe, and it is on a world stage that the first-class quality of its education was first recognised. In 2010, UCLAN became the first UK modern Higher Education institution to appear in the QS World University Rankings. In 2018, the Centre for World University Rankings estimated Central Lancashire to be in the top 3.7 per cent of all global universities, highlighting the growth the University has made in offering students real-world learning experiences and reflecting the University's extensive pool of academic talent. Ranked in the top 7% of universities worldwide. Student Communities from more than 100 countries WES Recognised Qualifi is a UK Government (Ofqual.gov.uk) regulated awarding organisation and has developed a reputation for supporting relevant skills in a range of job roles and industries, including Leadership, Enterprise and Management, Hospitality and catering, Health and Social Care, Business Process Outsourcing and Public Services. Qualifi is also a signatory to BIS international commitments of quality. The following are the key facts about Qualifi. Regulated by Ofqual.gov.uk World Education Services (WES) Recognised Assessment Major Project No examinations Entry Requirements Level 7 Postgraduate Diploma in Law or equivalent Aspiring candidates who do not fulfil the above criterion but have sufficient managerial experience can undergo evaluation for an Advanced Entry. If English is not your first language, you will be expected to demonstrate a certificated level of proficiency of at least IELTS 6.5 (Academic level) or equivalent English Language qualification. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. Structure Master of Laws (LLM) Top-Up Programme Structure Dissertation Module Delivery Methods The Master of Laws (LLM) Top-Up, awarded and delivered by the University of Central Lancashire through distance learning. The University of Central Lancashire (UCLan) offers a range of distance learning options for students who require the flexibility to study remotely. These options include online courses, blended learning, and supported distance learning. UCLan's distance learning courses are designed to provide students with the same high-quality education as on-campus courses, with access to resources such as video lectures, online discussion forums, and interactive assessments. The University also provides a range of support services for distance learning students, including academic support, technical support, and access to the University's library and online resources. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Picture yourself on a fascinating journey in the world of education. You can do this by taking the Level 4 Certificate in Education and Training (RQF) qualification. It's a special qualification given by Focus Awards, and it's approved by Ofqual, a trusted organization. Here's the thing: teaching and training can be a bit tricky, but this course helps you become really good at it. You'll learn how to welcome new students, make useful materials, and teach in a way that includes everyone. This course has four parts, and it's great for people who want to be teachers, those who already teach and want to get even better, and folks switching to teaching. There's also an extra part you can take about being inclusive, which means teaching everyone no matter who they are. By taking this course, you'll become a confident and respected educator. Plus, you'll get a special certificate that shows you know your stuff. And remember, Focus Awards and Ofqual make sure your qualification is top-notch and respected in the education world. Learning Outcomes Develop effective induction and registration procedures for educational settings. Create engaging information materials, presentations, and handouts for diverse learners. Demonstrate proficiency in designing and delivering unit-specific content and assessments. Apply inclusive teaching practices and templates to promote diversity and accessibility. Submit assignments demonstrating a comprehensive understanding of course content. Why choose Focus Awards Choosing Focus Awards for your educational and training programs offers several key advantages. As an Ofqual-governed accrediting body, their qualifications enjoy wide recognition, both nationally and internationally, ensuring you're held to the highest educational standards. Focus Awards' commitment to professionalism, rapid growth, and diverse qualification offerings makes them a dynamic choice for a relevant and exceptional learning experience. Opting for Focus Awards elevates your career prospects, personal development, and educational achievements. Benefits you will enjoy include: Exceptional customer service. Recognised qualification. Compliance with standards. User-friendly online platform. 24/7 module access. High-quality virtual learning materials. Guided Learning Hours "Guided Learning Hours" includes all direct teaching and support given to a learner by educators, trainers, or supervisors. For this qualification, there are a total of 140 Guided Learning Hours provided. Total Qualification Time Total Qualification Time (TQT) combines guided learning hours (GLH) and the hours students are expected to spend on independent learning, study, and assessments, all under the guidance of educational staff but without direct supervision. Qualification credit values are based on TQT, where one credit equals 10 learning hours. This particular qualification has a Total Qualification Time of 360 hours. Method of Assessment Assessment involves a series of short assignments. Assignments require demonstrating general reading and incorporating references. Submission of all assignments is done through the online portal. To pass, students must meet all learning outcomes; there's no grading system. Progression Progression after completing the Level 4 Certificate in Education and Training (RQF) offers individuals various career advancement avenues in education and training. Here are some common options: QTLS (Qualified Teacher Learning and Skills): Achieve QTLS status, recognizing you as a fully qualified teacher in post-compulsory education. Level 5 Diploma in Education and Training (RQF): Elevate your qualifications with comprehensive training in teaching and training principles. Higher Education: Consider pursuing a bachelor's degree or further academic studies in education or related fields. Specialised Courses: Explore subject-specific or specialized teaching courses to deepen expertise in your chosen area. Advanced Teaching Methods: Enhance your teaching skills through advanced methods, instructional design, or technology integration courses. Leadership and Management: Prepare for leadership roles with educational administration and management courses. Special Education: Focus on specialized courses in special education for a career in teaching students with special needs. Assessment and Evaluation: Learn advanced techniques for effective teaching through assessment and evaluation courses. Language and Communication Skills: Develop language and communication skills, particularly beneficial for language or communication-focused subjects. Professional Development: Stay updated with the latest teaching trends through ongoing professional development courses and workshops. Qualification Purpose The Focus Awards Level 4 Certificate in Education and Training (RQF) provides students with a thorough understanding of education and training delivery, learner assessment, resource management, and relevant role responsibilities. Who is this course for? Aspiring educators and trainers Teachers looking to enhance their skills Professionals transitioning to teaching roles Anyone passionate about inclusive education Requirements To enrol in the Focus Awards Level 3 Award in Supporting Teaching and Learning (RQF) course Age: Learners must be at least 19 years old. Foundational Skills: Basic proficiency in literacy, language, numeracy, and ICT is expected. Practical Experience: Successful completion of this qualification entails practical work or industry placement. Minimum Practice Hours: A minimum of 30 hours of hands-on practice is required. Career path Further Education (FE) Lecturer/Instructor - £30,000 - £40,000 per year Training and Development Specialist - £35,000 - £45,000 per year Adult Education Teacher - £25,000 - £35,000 per year Training Coordinator/Manager - £30,000 - £45,000 per year Assessor/Internal Verifier - £25,000 - £35,000 per year Educational Consultant - £35,000 - £55,000 per year Note: There is No Registration, Assessment, Certification fee included with this price.

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum 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 Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Course Overview The Payroll Management Course provides a comprehensive introduction to the critical processes involved in managing employee compensation and workforce planning. Designed to equip learners with both theoretical knowledge and practical frameworks, this course explores essential aspects such as resourcing, talent management, job analysis, and employer branding. Through a structured learning experience, learners will develop an in-depth understanding of how effective payroll and talent strategies contribute to organisational success. Whether advancing within an existing role or preparing for a new career, participants will emerge with the confidence to manage payroll processes in alignment with broader human resource strategies. By the end of the course, learners will have a strong foundation to support organisational compliance, drive employee engagement, and contribute to business objectives through proficient payroll and resource planning. Course Description This Payroll Management Course delves into key areas vital to successful HR and payroll operations, from resourcing and talent management to performance evaluation and employer branding. Throughout the modules, learners will engage with topics such as talent planning, coaching and development, job analysis and design, and the identification of improvement opportunities within talent management systems. The course promotes a thorough understanding of how payroll intersects with broader human resources functions, providing learners with critical insights into creating effective workforce plans. Skills in workforce strategy, talent retention, and employer branding are emphasised, enabling participants to approach payroll management with a strategic and analytical mindset. Designed with clear progression and accessible learning materials, the course prepares learners to apply industry-relevant knowledge confidently in organisational settings, strengthening their professional development and career prospects. Course Modules Module 01: Introduction to Resourcing and Talent Management Module 02: Resourcing and Talent Planning Module 03: Talent Management and The Role of Recruiting Module 04: Coaching, Training and Development Module 05: Performance Management Module 06: Benefits of Talent Management Module 07: Planning Human Resources Module 08: Job Analysis and Design Module 09: Employer Branding Module 10: Improvement Opportunities of Talent Management System (See full curriculum) Who is this course for? Individuals seeking to build expertise in payroll and workforce planning. Professionals aiming to enhance their career prospects within human resources or payroll departments. Beginners with an interest in employee management and compensation processes. Business owners and managers wishing to strengthen their internal HR practices. Career Path Payroll Administrator HR Officer Talent Acquisition Specialist Workforce Planning Coordinator Human Resources Manager Compensation and Benefits Analyst Employer Branding Specialist HR Strategy Consultant

Course Overview: This Investment course offers learners a comprehensive understanding of investment strategies and financial markets. The course covers a range of essential topics, including different investment types, portfolio management, and risk assessment. Learners will gain valuable insights into bond and stock markets, enabling them to make informed decisions in diverse investment environments. The course is designed for those looking to enhance their investment knowledge, regardless of their current financial expertise, providing a solid foundation in the principles of investing. Course Description: In this course, learners will explore various investment methods, from bonds to stocks, and gain an understanding of core financial concepts such as portfolio diversification and risk management. The course delves into investment theory, focusing on how markets function, the evaluation of potential returns, and the identification of risk factors. With an emphasis on building a structured investment strategy, learners will also gain an understanding of how to manage and optimise their portfolios. By the end, learners will have the tools and knowledge to evaluate different investment opportunities, supporting their financial growth and decision-making processes. Course Modules: Module 01: Introduction to Investment Overview of investment basics The role of investments in personal finance Understanding risk and return Module 02: Types and Techniques of Investment Stock market, bonds, and real estate investments Active vs passive investing Introduction to alternative investments Module 03: Key Concepts in Investment Compound interest and time value of money Diversification and asset allocation Financial instruments overview Module 04: Understanding the Finance Basics of financial statements Financial ratios and metrics Introduction to valuation techniques Module 05: Investing in Bond Market Types of bonds and their characteristics Bond pricing and yields Understanding interest rates and bond durations Module 06: Investing in Stock Market Stock market indices and trading Analysis of stock performance Fundamentals of stock picking Module 07: Risk and Portfolio Management Measuring and managing investment risk Portfolio construction and diversification strategies Evaluating portfolio performance (See full curriculum) Who is this course for? Individuals seeking to develop investment skills for personal financial growth. Professionals aiming to enhance their understanding of financial markets. Beginners with an interest in investing and financial markets. Anyone interested in building a solid foundation in investment strategies. Career Path: Investment Analyst Financial Planner Portfolio Manager Stock Broker Risk Manager Wealth Manager Financial Consultant

We Deliver Neonatal, Paediatric & Adult Intensive Care Nurse Training Programmes Face to face clinical skills training is supported by our platform which provides relatable and impactful content that helps nurses develop their leadership skills, embed their learning and earn certified CPD. See course content. Available World-Wide Delivered by prominent nurse educators and senior current ICU doctors with global experience in public and private healthcare We take pride in uplifting capabilities, inspiring the nursing workforce and improving patient care Overview Theoretical knowledge, clinical skills & competencies NICU Intensive Care Nurse Training This course will provide: Development of foundation to deeper theoretical knowledge and skills within various topics in critical care Demonstration of application of knowledge and understanding in practice Problem solving through critical analysis and evaluation of complex situations Maintaining quality care and positive patient experience Proactively manage problems, issues and challenges as they present Workforce management Risk management skills Decision making skills Course Structure: On the first day the participants will be allocated to groups in order to facilitate the practical skills teaching. The participants are encouraged to utilise this group for study purposes throughout this course. Each group will be allocated a senior nurse coach who will be their point of contact for queries and provide support throughout the course and for a period after the course has finished, until the participants have achieved their competencies in their respective place of work. Each participant will be given a workbook populated with competencies for each of the 7 topics within NICU. This workbook will provide guidance and it is intended for the participants to use it in their clinical practice. The participants will require a senior nurse allocated to them locally in their respective hospital who can oversee the application of the gained knowledge in practice. The participants will be assessed throughout the course via: Active participation Simulation in applying knowledge during workshops and practical sessions Completion of workbook and record achievements Reflective practice Contact us for a full training schedule 2. PICU Intensive Care Nurse Training This course will provide: Development of foundation to deeper theoretical knowledge and skills within various topics in critical care Demonstration of application of knowledge and understanding in practice Problem solving through critical analysis and evaluation of complex situations Maintaining quality care and positive patient experience Proactively manage problems, issues and challenges as they present Workforce management Risk management skills Decision making skills Course Structure: On the first day the participants will be allocated to groups in order to facilitate the practical skills teaching. The participants are encouraged to utilise this group for study purposes throughout this course. Each group will be allocated a senior nurse coach who will be their point of contact for queries and provide support throughout the course and for a period after the course has finished, until the participants have achieved their competencies in their respective place of work. Each participant will be given a workbook populated with competencies for each of the 12 topics within PICU. This workbook will provide guidance and it is intended for the participants to use it in their clinical practice. The participants will require a senior nurse allocated to them locally in their respective hospital who can oversee the application of the gained knowledge in practice The participants will be assessed throughout the course via: Active participation Simulation in applying knowledge during workshops and practical sessions Completion of workbook and record achievements Reflective practice Contact us for a full training schedule 3. AICU Intensive Care Nurse Training This course will provide: Development of foundation to deeper theoretical knowledge and skills within various topics in critical care Demonstration of application of knowledge and understanding in practice Problem solving through critical analysis and evaluation of complex situations Maintaining quality care and positive patient experience Proactively manage problems, issues and challenges as they present Workforce management: safe staffing levels, utilising skill mix, safe and effective patient care Ability to assess the complex patient in the ICU Rehabilitation and recovery planning for ICU patients Risk management skills Decision making skills Course Structure: On the first day the participants will be allocated to groups in order to facilitate the practical skills teaching. The participants are encouraged to utilise this group for study purposes throughout this course. Each group will be allocated a senior nurse coach who will be their point of contact for queries and provide support throughout the course and for a period after the course has finished, until the participants have achieved their competencies in their respective place of work. Each participant will be given a workbook populated with competencies for each of the 13 topics within adult critical care. This workbook will provide guidance and it is intended for the participants to use it in their clinical practice. The participants will require a senior nurse allocated to them locally in their respective hospital who can oversee the application of the gained knowledge in practice. Course Content The content helps nurses succeed in gaining essential skills to excel in day-to-day work activities, such as; communicating with colleagues and patients, conducting difficult conversations, knowing how to lead and motivate teams and problem solving. The content is mapped to the leadership requirements as stated by the UK Royal Colleges, including the Royal College of Nursing What is the role of leader? Building and Leading Successful teams CPDwatch Building and Leading Successful teams Building and Leading Successful teams Leading with Values and Ethics CPDwatch Leading with Values and Ethics Leading with Values and Ethics watch Leadership Insights on Leading with Executive Presence Leadership Insights on Leading with Executive Presence watch Leadership Insights on Building & Leading Teams Leadership Insights on Building & Leading Teams watch Leadership Toolkit: Facilitating a Workshop Leadership Toolkit: Facilitating a Workshop watch Leadership Toolkit: Facilitating a Brainstorming Session Leadership Toolkit: Facilitating a Brainstorming Session watch Leadership Toolkit: Running a Team Debrief Leadership Toolkit: Running a Team Debrief watch The Characteristics of an Accountable Leader The Characteristics of an Accountable Leader Leading through Shared Vision CPDwatch Leading through Shared Vision Leading through Shared Vision watch Evaluating Your Management Style Evaluating Your Management Style watch The Adaptive Leader: Be an Iceberg The Adaptive Leader: Be an Iceberg The Collaborative Leader CPDwatch The Collaborative Leader The Collaborative Leader Leading through Problem Solving and Decision Making CPDwatch Leading through Problem Solving and Decision Making Leading through Problem Solving and Decision Making watch Leadership Insights on Leading Diversity Leadership Insights on Leading Diversity watch Leadership Insights on Judgment and Decisiveness Leadership Insights on Judgment and Decisiveness Leading with Judgment and Decisiveness CPDwatch Leading with Judgment and Decisiveness Leading with Judgment and Decisiveness Accountable Leadership CPDwatch Accountable Leadership Accountable Leadership watch Leadership Insights on Being Accountable Leadership Insights on Being Accountable watch Expert Insights on Networking & Building Relationships Expert Insights on Networking & Building Relationships watch Building Your Professional Network Building Your Professional Network watch Leadership Insights on Networking with your Peers Leadership Insights on Networking with your Peers watch Networking to Improve Leadership Effectiveness Networking to Improve Leadership Effectiveness watch Empowering Employees Empowering Employees read MIT Sloan Management Review on New Leader Transitions MIT Sloan Management Review on New Leader Transitions read All the Leader You Can Be: The Science of Achieving Extraordinary Executive Presence All the Leader You Can Be: The Science of Achieving Extraordinary Executive Presence read MIT Sloan Management Review on The Adaptive Leader MIT Sloan Management Review on The Adaptive Leader read MIT Sloan Management Review Article on Looking for Opportunity in the Midst of Crisis MIT Sloan Management Review Article on Looking for Opportunity in the Midst of Crisis read Executive Presence: The Art of Commanding Respect like a CEO, Second Edition Executive Presence: The Art of Commanding Respect like a CEO, Second Edition read MIT Sloan Management Review on Leader as Motivator MIT Sloan Management Review on Leader as Motivator listen The Accountable Leader: Developing Effective Leadership Through Managerial Accountability The Accountable Leader: Developing Effective Leadership Through Managerial Accountability listen From Bud to Boss: Secrets to a Successful Transition to Remarkable Leadership From Bud to Boss: Secrets to a Successful Transition to Remarkable Leadership listen Strategic Connections: The New Face of Networking in a Collaborative World Strategic Connections: The New Face of Networking in a Collaborative World listen The Courage Way: Leading and Living with Integrity The Courage Way: Leading and Living with Integrity listen Executive Presence: The Art of Commanding Respect Like a CEO Executive Presence: The Art of Commanding Respect Like a CEO The importance of skillful communication Leading across Cultures CPDwatch Leading across Cultures Leading across Cultures watch Leadership Insights on Setting and Managing Priorities Leadership Insights on Setting and Managing Priorities watch Expert Insights on Collaboration Expert Insights on Collaboration Becoming a Successful Collaborator CPDwatch Becoming a Successful Collaborator Becoming a Successful Collaborator Leading with Judgment and Decisiveness CPDwatch Leading with Judgment and Decisiveness Leading with Judgment and Decisiveness watch Managing Conflict across Cultures Managing Conflict across Cultures watch Managing Conflict in High Performance Teams Managing Conflict in High Performance Teams watch Leadership Insights on Conflict Management Leadership Insights on Conflict Management The Collaborative Leader CPDwatch The Collaborative Leader The Collaborative Leader watch Leadership Insights on Leading Across Cultures Leadership Insights on Leading Across Cultures Leading Diversity CPDwatch Leading Diversity Leading Diversity Encouraging Team Communication and Collaboration CPDwatch Encouraging Team Communication and Collaboration Encouraging Team Communication and Collaboration Navigating Challenging Situations with Diplomacy and Tact CPDwatch Navigating Challenging Situations with Diplomacy and Tact Navigating Challenging Situations with Diplomacy and Tact Facing Virtual Team Challenges CPDwatch Facing Virtual Team Challenges Facing Virtual Team Challenges watch Leadership Insights on Problem Solving & Decision Making Leadership Insights on Problem Solving & Decision Making watch Leadership Insights on Leading through Disruption Leadership Insights on Leading through Disruption watch Leadership Insights on Leading through Motivation Leadership Insights on Leading through Motivation Leading Others through Conflict CPDwatch Leading Others through Conflict Leading Others through Conflict Cultivating Cross-functional Team Collaboration CPDwatch Cultivating Cross-functional Team Collaboration Cultivating Cross-functional Team Collaboration watch Running a Team Debrief Running a Team Debrief watch Leaders Have to Be Human Leaders Have to Be Human watch Collaborating Beyond the Team Collaborating Beyond the Team watch How the Power of Listening Can Reveal Your Team's Motivating Tensions How the Power of Listening Can Reveal Your Team's Motivating Tensions read Successful Time Management: How to be Organized, Productive and Get Things Done Successful Time Management: How to be Organized, Productive and Get Things Done read Managing Conflict at Work: Understanding and Resolving Conflict for Productive Working Relationships Managing Conflict at Work: Understanding and Resolving Conflict for Productive Working Relationships read Conflict Management Conflict Management read Committed Teams: Three Steps to Inspiring Passion and Performance Committed Teams: Three Steps to Inspiring Passion and Performance read Building the Team Organisation: How to Open Minds, Resolve Conflict, and Ensure Cooperation Building the Team Organisation: How to Open Minds, Resolve Conflict, and Ensure Cooperation read MIT Sloan Management Review on Problem Solving and Decision Making MIT Sloan Management Review on Problem Solving and Decision Making read Communicate Like a Leader: Connecting Strategically to Coach, Inspire, and Get Things Done Communicate Like a Leader: Connecting Strategically to Coach, Inspire, and Get Things Done read MIT Sloan Management Review on Negotiation MIT Sloan Management Review on Negotiation read 5 Critical Conversations to Talent Development: Tips, Tools & Intelligence for Developing Talent 5 Critical Conversations to Talent Development: Tips, Tools & Intelligence for Developing Talent read MIT Sloan Management Review on Developing People MIT Sloan Management Review on Developing People read MIT Sloan Management Review on Cross-Functional Collaboration MIT Sloan Management Review on Cross-Functional Collaboration listen Opening Doors to Teamwork and Collaboration: 4 Keys That Change Everything Opening Doors to Teamwork and Collaboration: 4 Keys That Change Everything How to create and lead change Contributing as a Virtual Team Member CPDwatch Contributing as a Virtual Team Member Contributing as a Virtual Team Member Leading Innovation CPDwatch Leading Innovation Leading Innovation Leading with Strategic Thinking CPDwatch Leading with Strategic Thinking Leading with Strategic Thinking watch Leadership Insights on Strategic Thinking Leadership Insights on Strategic Thinking Building and Leading Successful Teams CPDwatch Building and Leading Successful Teams Building and Leading Successful Teams watch Leadership Insights on Building & Leading Teams Leadership Insights on Building & Leading Teams Creating a Successful Business Execution Culture CPDwatch Creating a Successful Business Execution Culture Creating a Successful Business Execution Culture watch How to Build Trust in a Team How to Build Trust in a Team watch Leadership Insights on Leading Innovation Leadership Insights on Leading Innovation watch Leadership Insights on Leading a Culture of Execution Leadership Insights on Leading a Culture of Execution watch Leadership Insights on Leading through Change Leadership Insights on Leading through Change Leading through the Challenge of Change CPDwatch Leading through the Challenge of Change Leading through the Challenge of Change watch Leadership Insights on Leading Collaboratively Leadership Insights on Leading Collaboratively Facilitating Sustainable Change CPDwatch Facilitating Sustainable Change Facilitating Sustainable Change watch Disruptive Leadership Disruptive Leadership read Learning to Think Strategically Learning to Think Strategically read Leading with Strategic Thinking: Four Ways Effective Leaders Gain Insight, Drive Change, and Get Results Leading with Strategic Thinking: Four Ways Effective Leaders Gain Insight, Drive Change, and Get Results read Demystifying Strategic Thinking: Lessons from Leading CEOs Demystifying Strategic Thinking: Lessons from Leading CEOs read MIT Sloan Management Review on Building and Leading Teams MIT Sloan Management Review on Building and Leading Teams read Virtual Leadership: Practical Strategies for Getting the Best Out of Virtual Work and Virtual Teams Virtual Leadership: Practical Strategies for Getting the Best Out of Virtual Work and Virtual Teams read Managing and Leading People through Organizational Change: The Theory and Practice of Sustaining Change through People Managing and Leading People through Organizational Change: The Theory and Practice of Sustaining Change through People read The Effective Change Manager's Handbook: Essential Guidance to the Change Management Body of Knowledge The Effective Change Manager's Handbook: Essential Guidance to the Change Management Body of Knowledge read Choosing to Change: An Alternative Understanding of Change Management Choosing to Change: An Alternative Understanding of Change Management Why leaders should possess emotional intelligence Leading by Developing People CPDwatch Leading by Developing People Leading by Developing People watch Leadership Insights on Critical Thinking Leadership Insights on Critical Thinking watch Knowing When to Think Critically Knowing When to Think Critically Developing Your Critical Thinking and Cognitive Flexibility CPDwatch Developing Your Critical Thinking and Cognitive Flexibility Developing Your Critical Thinking and Cognitive Flexibility Leading through Setting and Managing Priorities CPDwatch Leading through Setting and Managing Priorities Leading through Setting and Managing Priorities watch Managing Priorities Managing Priorities watch Leadership Insights on Leading with Values & Ethics Leadership Insights on Leading with Values & Ethics The Collaborative Leader CPDwatch The Collaborative Leader The Collaborative Leader The Agile Leader CPDwatch The Agile Leader The Agile Leader watch Disruptive Leadership Disruptive Leadership Make The Time You Need: Get Organised CPDwatch Make The Time You Need: Get Organised Make The Time You Need: Get Organised watch Leadership Insights on Emotional Intelligence Leadership Insights on Emotional Intelligence Becoming an Emotionally Intelligent Leader CPDwatch Becoming an Emotionally Intelligent Leader Becoming an Emotionally Intelligent Leader Managing in a Crisis CPDwatch Managing in a Crisis Managing in a Crisis watch Planning Crisis Communications Planning Crisis Communications watch Crisis Management for Leaders Crisis Management for Leaders watch Take a Deep Breath and Manage Your Stress Take a Deep Breath and Manage Your Stress watch Being a Mindful Leader Being a Mindful Leader watch Overcome Emotional Feelings Overcome Emotional Feelings Managing Pressure and Stress to Optimise Your Performance CPDwatch Managing Pressure and Stress to Optimise Your Performance Managing Pressure and Stress to Optimise Your Performance watch Expert Insights on Managing Stress Expert Insights on Managing Stress watch Emotional Intelligence and Effective Leadership Emotional Intelligence and Effective Leadership watch Helping Your Team Work Helping Your Team Work watch Fair and Just Decision Making Fair and Just Decision Making read MIT Sloan Management Review on Setting and Managing Priorities MIT Sloan Management Review on Setting and Managing Priorities read Advances in Authentic and Ethical Leadership Advances in Authentic and Ethical Leadership read Resilient Organisations: How to Survive, Thrive and Create Opportunities Through Crisis and Change Resilient Organisations: How to Survive, Thrive and Create Opportunities Through Crisis and Change read 50 Activities For Managing Stress 50 Activities For Managing Stress read Emotional Intelligence Pocketbook: Little Exercises for an Intuitive Life Emotional Intelligence Pocketbook: Little Exercises for an Intuitive Life read Mindful Leadership: The 9 Ways to Self-Awareness, Transforming Yourself, and Inspiring Others Mindful Leadership: The 9 Ways to Self-Awareness, Transforming Yourself, and Inspiring Others The significance of coaching in your career Developing Successful Coaching Relationships CPDwatch Developing Successful Coaching Relationships Developing Successful Coaching Relationships watch Working on Shared Goals through Teaming Working on Shared Goals through Teaming watch Initiating a Coaching Relationship Initiating a Coaching Relationship watch Coaches Build Self-Confidence Coaches Build Self-Confidence watch Be a Better Coach Be a Better Coach watch Coaching Team Members Coaching Team Members Leading by Developing People CPDwatch Leading by Developing People Leading by Developing People watch Delivering Results While Developing People Delivering Results While Developing People watch How to Increase Engagement How to Increase Engagement watch Leadership Insights on Coaching Leadership Insights on Coaching watch Leadership Insights on Developing Women Leaders Leadership Insights on Developing Women Leaders watch Leadership Insights on Leading Collaboratively Leadership Insights on Leading Collaboratively watch Creating a Vision Creating a Vision watch Becoming A More Effective Delegator Becoming A More Effective Delegator read MIT Sloan Management Review on Leader as Coach Special Collection MIT Sloan Management Review on Leader as Coach Special Collection read Anytime Coaching: Unleashing Employee Performance, Second Edition Anytime Coaching: Unleashing Employee Performance, Second Edition read Coaching and Mentoring: Practical Techniques for Developing Learning and Performance, Third Edition Coaching and Mentoring: Practical Techniques for Developing Learning and Performance, Third Edition read The Extraordinary Coach: How the Best Leaders Help Others Grow The Extraordinary Coach: How the Best Leaders Help Others Grow read Leading the Unleadable: How to Manage Mavericks, Cynics, Divas, and Other Difficult People Leading the Unleadable: How to Manage Mavericks, Cynics, Divas, and Other Difficult People read 100 Ways to Motivate Others: How Great Leaders Can Produce Insane Results without Driving People Crazy, Third Edition 100 Ways to Motivate Others: How Great Leaders Can Produce Insane Results without Driving People Crazy, Third Edition read Communicate Like a Leader: Connecting Strategically to Coach, Inspire, and Get Things Done Communicate Like a Leader: Connecting Strategically to Coach, Inspire, and Get Things Done listen 50 Top Tools for Coaching: A Complete Toolkit for Developing and Empowering People, Third Edition 50 Top Tools for Coaching: A Complete Toolkit for Developing and Empowering People, Third Edition

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. 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