4758 Model courses delivered Online

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Introduction Why Start An Online Business 00:05:00 Choose The Right Online Business Model 00:10:00 Choose The Right Online Business Model 00:10:00 Setting Goals For Your Online Business 00:04:00 Traffic Generation 00:02:00 Marketing Your Online Business 00:09:00 Your 30-Day Plan 00:04:00 Scaling Your Online Business 00:02:00 Best Practices For Your 6 Figure Online Business 00:02:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

DASA DevOps Professional: Enable and Scale: Virtual In-House Training DevOps embodies both cultural changes and practices through which organizations can facilitate the IT functions of software development (Dev) and software operation (Ops). The DevOps movement advocates automation and phase-based monitoring practices. Its objectives include: Decreasing development cycles · Increasing deployment frequency Improving the reliability of releases Developing a closer alignment with business objectives The DASA DevOps Professional: Enable and Scale course (formerly known as DevOps Practitioner) is designed to provide individuals with the core education necessary to put DevOps into practice. With the help of DevOps theory, pragmatic examples and exercises, and interactive group discussions, the course will help you understand how to apply the necessary skills to practice DevOps. Building on the knowledge learned on theFundamentals course (the 'why'), you will learn the 'how'. The DevOps Professional: Enable and Scale course focuses on improving the skill set of the DASA competency model, which includes competencies like Courage, Teambuilding, DevOps Leadership, and Continuous Improvement. On completion of the DASA DevOps Professional: Enable and Scale training and passing the exam, the certification is awarded. What you will Learn At the end of this program, you will be able to: Explain the importance of DevOps culture and the aspects that can influence it Explain why courage, teambuilding, leadership, and continuous improvement are required in a DevOps environment Explain why courage is essential to enable trust, honesty, and experimentation Identify and evaluate different types of behavior in a DevOps environment Recognize the signals indicating impediments and/or team dysfunctions Describe how to form good DevOps teams and assess their maturity List the effects of happiness and motivation on team performance Identify how leaders encourage feedback and transparency Discuss the factors that leaders can influence to build trust Explain how and why leaders promote a 'safe to fail' environment Analyze value streams to improve throughput and flow Facilitate the tools for continuous improvement: structured problem-solving workshops, Story Mapping sessions, and retrospectives TEAMBUILDING Teambuilding is about understanding the other's point of view, collaboration, mutual accountability, common purpose, and the ability to integrally support the service/product. Design Teams Characteristics of a DevOps team Skills of a DevOps Team Self-organization and autonomy Rules to consider when designing DevOps teams Build Teams Effects of happiness and motivation on performance Feedback Creating high-performance teams Governance Governance within teams and between multiple teams Governance between organizations DevOps contracts DEVOPS LEADERSHIP This module describes how to facilitate teams to high performance, DevOps behavior, transparency, and a service lifecycle mindset. Build Culture Creating the right environment and providing vision and purpose Stimulating the right behavior Servant leadership: giving control, supporting, and inspiring Create Purpose Defining and aligning purpose Purpose of having a purpose Alignment versus autonomy Be a Servant Leader Give control to the team Inspire and support the team Focus on Success Output versus outcome Measuring and steering COURAGE The Courage module is about coaching courageous behavior, proactivity, reflection, trust, open discussions, experimentation, fail fast, and the courage to change. Build Courage The importance of courage Courage in relationship with leadership and feedback Enabling courage at the team level Dealing with failure Think Different Courage day to day Encourage critical thinking Techniques to promote courageous behavior VALUE CUSTOMER-CENTRIC ACTION This module describes the important aspects that are relevant to identify and deliver the required and expected value for all relevant stakeholders. Aspects of Value and Managing Expectations The different aspects of value Stakeholder management Customer collaboration and using customer feedback How to do prioritization CONTINUOUS IMPROVEMENT Continuous improvement describes the importance of a Kaizen mindset, quality at the source, first time right, knowledge-sharing, and the ability to adapt. Build Flow Understanding the importance of flow Using Lean to optimize flow Kaizen as a mindset Radical change versus Kaizen Using Pull to optimize flow Continuous Improvement Tools Kaizen Event Value Stream Mapping Visual Management Retrospective Daily Standup Five Times Why

The Actuary Online Course offers a comprehensive exploration of these scientific foundations, delving into deterministic and stochastic models, life insurance, annuities, and the complex interplay between taxation, inflation, and risk.

This course does not require any prior knowledge of Apache Spark or Hadoop. The author explains Spark architecture and fundamental concepts to help you come up to speed and grasp the content of this course. The course will help you understand Spark programming and apply that knowledge to build data engineering solutions.

Managing Complex Projects: On-Demand As knowledge and technology expand exponentially, organizations are finding that the tools, processes, and methods used to select, plan, and manage their projects are insufficient for the challenges posed by them. The goal of this course is to provide participants with a working knowledge of project complexities and a framework for managing the ambiguities involved in today's fast-changing, competitive, and technology-based environment As knowledge and technology expand exponentially, organizations are finding that the tools, processes, and methods used to select, plan, and manage their projects are insufficient for the challenges posed by them. Complex projects don't necessarily follow the rules of traditional projects - in many instances the projects' end-products, and the methods by which they will be produced, are not easily defined. Stakeholder diversity and geographical dispersion contribute to the difficulties project managers face in their efforts to gain acceptance of project goals, objectives, and changes. Additionally, hierarchic leadership styles, traditional lifecycle approaches, and traditional project manager competencies may no longer maximize the efficiencies that need to be realized on complex projects. The goal of this course is to provide participants with a working knowledge of project complexities and a framework for managing the ambiguities involved in today's fast-changing, competitive, and technology-based environments. What you Will Learn The learning objectives of this workshop are to enable participants to: Appreciate complexity and its impact on the management of projects Describe the differences among traditional, complicated, and complex projects Explain the effects of complexity on the PMBOK® Guide's process groups Apply a high-level model in the management of real- world projects Complexity and Projects Some characteristics of complex systems Important models/characteristics of complex projects Major players in project complexity Landscapes and project typologies A supplemental framework for complex projects Framing Framing overview Potential pitfalls in framing complex projects Possible solutions Inception Centrality of risk management PM competencies, selection Stakeholder identification, analysis Blueprint Collaborative planning Stakeholder engagements Alternative methodologies/life cycles Collaborative scheduling Procurement management Oversight, Navigation, and Adjustment Leadership and the project team Stakeholder management Networks Close and Continuous Improvement Transition/support Post-project evaluations Rewards/Recognition

Duration 3 Days 18 CPD hours This course is intended for Delegates attending this course must have successfully achieved the ITIL 4 Foundation Qualification; your certificate must be presented as documentary evidence to gain admission to this course. Although there is no mandatory requirement, ideally candidates should have at least two years professional experience working in IT Service Management. The ITIL 4 DPI Qualification would most likely suit the following delegates: Individuals continuing of their journey in service management ITSM managers and aspiring ITSM managers Managers of all levels involved in shaping direction and strategy or developing a continually improving team Existing ITIL qualification holders wishing to develop their knowledge The above list is a suggestion only; individuals may wish to attend based on their own career aspirations, personal goals or objectives. Delegates may take as few or as many Intermediate qualifications as they require, and to suit their needs. Overview The purpose of the ITIL 4 Direct Plan and Improve Qualification is: To provide the candidate with the practical skills necessary to create a ?learning and improving? IT organization, with a strong and effective strategic direction To provide practitioners with a practical and strategic method for planning and delivering continual improvement with the necessary agility The objectives of this course are to: Understand the Key Concepts of Direct, Plan & Improve Understand the scope of what is to be directed and/or planned, and know how to use key principles and methods of direction and planning in that context Understand the role of GRC (Governance, Risk & Compliance) and know how to integrate the principles and methods into the service value system Understand and know how to use the key principles and methods of continual improvement for all types of improvements Understand and know how to use the key principles and methods of Organizational Change Management to direction, planning and improvement Understand and know how to use the key principles and methods of measurement and reporting in directing, planning and improvement Understand and know how to direct, plan and improve value streams and practices This unique and central course covers requirements in both the ITIL Managing Professional and ITIL Strategic Leader designations. As such, this course is a must-have in any ITIL 4 professional development plan. You will gain the practical skills needed to establish a ?learning and improving? IT organization that possess a strong and targeted strategic direction. This class includes an exam voucher. Prerequisites ITIL© 4 Foundation 1 - KEY CONCEPTS OF DIRECT, PLAN AND IMPROVE Knowing key terms Differentiating between principle concepts Defining the relationship of Values, Outcomes, Costs and Risks 2 - SCOPING WHAT IS TO BE DIRECTED Cascading goals and requirements Deciphering effective policies, controls and guidelines Placing decision-making authority at the correct level 3 - THE ROLE OF GRC IN THE SERVICE VALUE SYSTEM The role of risk management How governance impacts DPI Ensuring that controls are sufficient but not excessive 4 - PRINCIPLES AND METHODS FOR CONTINUAL IMPROVEMENT Leverage the ITIL CI model Identify assessment objectives and outputs Select the appropriate assessment method Prioritize desired outcomes Build, justify and advocate your business case Conduct improvement reviews and lessons learned sessions Embed CI at all levels of the service value stream 5 - APPLYING COMMUNICATION AND ORGANIZATIONAL CHANGE MANAGEMENT The nature and benefits of OCM Manage, communicate effectively, and influence stakeholders Establish valuable interfaces across the value chain 6 - EFFECTIVE MEASURING AND REPORTING Defining indicators and metrics to support objectives 7 - DIRECT, PLAN AND IMPROVE VALUE STREAMS Recognizing the differences between value streams and practices Choosing the right methods and techniques to direct, plan and improve value streams Additional course details:Notes New Horizons is an Authorised Training Organisation (ATO) for Peoplecert for ITIL4 Nexus Humans ITIL 4 Strategist Direct Plan and Improve (DPI) with Exam training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the ITIL 4 Strategist Direct Plan and Improve (DPI) with Exam course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Venturing into the intricate labyrinth of risk and finance, our course, 'Actuary Certification: Navigating the Complex World of Risk and Finance' serves as your guiding beacon. Through this comprehensive journey, participants will unravel the multifaceted role of actuaries and their symbiotic relationship with their environment. Delve deep into the valuation of cash flows, deterministic models, and the life table's myriad intricacies. Embrace an in-depth understanding of life annuities, insurance structures, and the enthralling world of stochastic life contingencies. Furthermore, this course equips learners with the expertise to tackle taxation, inflation, and the nuances of premium calculation, ensuring a holistic approach to the actuarial realm. Learning Outcomes Understand the foundational principles and role of actuarial science in risk and finance. Analyse and interpret life tables, annuities, and insurance models. Apply stochastic methodologies to insurance and annuities. Evaluate the implications of taxation and inflation on financial models. Design and assess various risk models, focusing on uncertain payment and profit testing. Why buy this Actuary Certification: Navigating the Complex World of Risk and Finance? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Actuary Certification: Navigating the Complex World of Risk and Finance there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Actuary Certification: Navigating the Complex World of Risk and Finance course for? This Actuary Certification: Navigating the Complex World of Risk and Finance does not require you to have any prior qualifications or experience. You can just enrol and start learning. Individuals keen to dive into the actuarial sector. Finance and risk management graduates aspiring for a deeper understanding. Professionals in the insurance sector aiming to upscale their knowledge. Mathematics enthusiasts wishing to channel their skills in a finance-oriented domain. Corporate strategists seeking to enhance risk management techniques. Prerequisites This Actuary Certification: Navigating the Complex World of Risk and Finance does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Actuary Certification: Navigating the Complex World of Risk and Finance was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Actuarial Analyst: £30,000 - £50,000 Risk Management Specialist: £40,000 - £65,000 Insurance Underwriter: £25,000 - £50,000 Financial Planner: £35,000 - £60,000 Actuarial Consultant: £50,000 - £90,000 Portfolio Manager: £55,000 - £120,000 Course Curriculum Module 01: Introduction to Actuary Introduction to Actuary 00:12:00 Module 02: Actuaries and Their Environment Actuaries and Their Environment 00:14:00 Module 03: The Valuation of Cash Flows The Valuation of Cash Flows 00:12:00 Module 04: The Basic Deterministic Model The Basic Deterministic Model 00:11:00 Module 05: The Life Table The Life Table 00:11:00 Module 06: Life Annuities Life Annuities 00:14:00 Module 07: Life Insurance Life Insurance 00:12:00 Module 08: The Stochastic Life Contingencies Model The Stochastic Life Contingencies Model 00:11:00 Module 09: The Stochastic Approach to Insurance and Annuities The Stochastic Approach to Insurance and Annuities 00:11:00 Module 10: Taxation and Inflation Taxation and Inflation 00:08:00 Module 11: Probabilistic Models, Uncertain Payment and Profit Testing Probabilistic Models, Uncertain Payment and Profit Testing 00:08:00 Model 12: Individual Risk Models Individual Risk Models 00:07:00 Module 13: Principles of Premium Calculation Principles of Premium Calculation 00:10:00 Module 14: Multiple Decrement Theory Multiple Decrement Theory 00:09:00

Embark on a transformative journey with 'Demystifying Depreciation Accounting: Financial Insights'. This course unravels the intricate world of depreciation accounting, offering a comprehensive understanding from its foundational concepts to its real-world applications. Dive deep into the depreciation model, explore enlightening case studies, and stay ahead with insights on emerging trends and future developments. By the end of this course, you'll possess a robust knowledge of depreciation reporting and compliance, positioning you at the forefront of financial expertise. Learning Outcomes Understand the fundamental principles of depreciation accounting. Analyse and interpret the depreciation model in-depth. Evaluate real-world scenarios through case studies. Master the nuances of depreciation reporting and compliance. Stay updated with the latest trends and anticipated shifts in depreciation accounting. Why buy this Demystifying Depreciation Accounting: Financial Insights? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Demystifying Depreciation Accounting: Financial Insights for? Finance and accounting students seeking a deeper understanding of depreciation. Business owners aiming to enhance their financial literacy. Accountants looking to refresh or expand their knowledge. Financial analysts aiming to strengthen their analytical skills. Professionals transitioning into finance or accounting roles. Career path Financial Accountant: £40,000 - £55,000 Management Accountant: £45,000 - £60,000 Financial Analyst: £35,000 - £50,000 Finance Manager: £50,000 - £70,000 Compliance Officer: £30,000 - £45,000 Financial Consultant: £45,000 - £65,000 Prerequisites This Demystifying Depreciation Accounting: Financial Insights does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course 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. Course Curriculum Module 1: Introduction to Depreciation Accounting Introduction to Depreciation Accounting 00:20:00 Module 2: Accounting for Depreciation Accounting for Depreciation 00:22:00 Module 3: Deep Dive into the Depreciation Model Deep Dive into the Depreciation Model 00:14:00 Module 4: Case Studies and Real-World Applications Case Studies and Real-World Applications 00:11:00 Module 5: Depreciation Reporting and Compliance Depreciation Reporting and Compliance 00:13:00 Module 6: Emerging Trends and Future Developments Emerging Trends and Future Developments 00:18:00

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Overview This comprehensive course on Data Science & Machine Learning with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science & Machine Learning with Python comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Data Science & Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our Data Science & Machine Learning with Python is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 2 sections • 90 lectures • 10:24:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:08:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:07:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00