3670 Model courses delivered On Demand

Appreciative Inquiry is a process of asking positive questions and envisioning the future that uncovers the best in people and organizations and enabling positive change. Understand the seven core principles of Appreciative Inquiry and you will be able to apply the five stage model to consider conditions necessary for success using appreciative inquiry. Learning Objectives Apply a process that enables faster, positive change, Implement the core principles of appreciative inquiry Target Audience Managers, Team Leaders, Young Professionals, Sales Professionals, Customer Service Teams

Highlights of the Course Course Type: Online Learning Duration: 6 hours 43 minutes Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about business administration and business management Understand the core competencies and principles of business administration and business management Explore the various areas of business administration and business management Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert business administrator or business manager Business Strategy Consulting Foundations - Mini MBA Program Course Master the skills you need to propel your career forward in business administration and business management. This course will equip you with the essential knowledge and skillset that will make you a confident business administrator or business manager and take your career to the next level. This comprehensive business strategy consulting foundations - mini MBA program course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this business strategy consulting foundations - mini MBA program course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective business administration and business management practice and equip you with the essential skills, confidence and competence to assist you in the business administration and business management industry. You'll gain a solid understanding of the core competencies required to drive a successful career in business administration and business management. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for business administrator or business manager or for people who are aspiring to specialise in business administration and business management. Enrol in this business strategy consulting foundations - mini MBA program course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive business strategy consulting foundations - mini MBA program course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this business administration and business management can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This business strategy consulting foundations - mini MBA program course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This business strategy consulting foundations - mini MBA program course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This business strategy consulting foundations - mini MBA program course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. 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. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Welcome to this Mini MBA Business Strategy Consulting Course Welcome To This Mini MBA Business Strategy Consulting Course 00:03:00 Mini MBA Business Strategy - Executive Summary - What you will learn 00:10:00 What is MBA Level Business Strategy? What is Business Strategy 00:05:00 Business Vision and the Mission Statement 00:04:00 The Strategy Hierarchy Within a Firm 00:06:00 Mini MBA: Designing Your Business Strategy - Startup or CEO! Introduction to Business Strategy Design 00:02:00 Business Model Design With The Business Model Canvas 00:13:00 Business Model Canvas Template 00:01:00 Lafley and Martin's Five-Step Strategy Model 00:05:00 Hambrick and Fredrickson's Strategy Diamond 00:06:00 Mini MBA; Business Strategy Over Time: Life Cycle Models Understanding Life Cycles 00:02:00 The Industry Life Cycle 00:07:00 The Business Life Cycle 00:06:00 The Corporate Funding Life Cycle 00:04:00 Mini MBA: External Strategic Environment Of The Firm: PEST and PESTEL Analysis Section Introduction: External Analysis Using Broad Factors 00:02:00 PEST Analysis 00:08:00 PESTEL Analysis 00:05:00 PESTEL Analysis Template 00:01:00 CASE STUDY EXERCISE: PESTEL Analysis of Starbucks 00:02:00 CASE STUDY SOLUTION: PESTEL Analysis of Starbucks 00:07:00 CASE STUDY EXERCISE: PESTEL Analysis Of The Global Aviation Industry 00:02:00 CASE STUDY SOLUTION: PESTEL Analysis of the Global Aviation Industry 00:07:00 Strategic Options Arising Internal and External Analysis: SWOT, TOWS and SOAR SWOT Analysis 00:05:00 Conducting a SWOT Analysis 00:04:00 SWOT Analysis Template 00:02:00 TOWS Matrix Analysis 00:05:00 SOAR 00:04:00 SOAR Analysis Template 00:01:00 CASE STUDY EXERCISE: SWOT Analysis - Amazon 00:02:00 CASE STUDY SOLUTION: SWOT ANALYSIS - Amazon 00:09:00 Michael Porter - Industry Analysis, Generic Strategies and Competitive Advantage Michael Porter and Business Strategy Analysis 00:02:00 Industry Analysis and Introducing Michael Porter 00:10:00 Competitive Forces Model - Porter's Five Forces 00:12:00 Full List of Porter's Five Forces Factors 00:02:00 Michael Porter's Five Forces Template 00:01:00 Case Study Exercise Porters Five Forces Global Aviation Industry 00:02:00 CASE STUDY SOLUTION: Porter's Five Forces - Global Airline Industry 00:15:00 Generic Strategies and Industry Forces 00:10:00 Michael Porter's Value Chain Analysis 00:07:00 Value Chain Analysis Template 00:02:00 Strategic Prioritisation: Boston Consulting Group (BCG) Growth Share Matrix Boston Consulting Group (BCG) Matrix 00:07:00 BCG Matrix And The Life Cycle 00:03:00 BCG Matrix Advantages and Disadvantages 00:03:00 Adapting the BCG Matrix 00:05:00 Boston Consulting Group (BCG) Matrix Template 00:03:00 Case Study Exercise: BCG Matrix - Facebook 00:02:00 CASE STUDY SOLUTION: BCG Matrix - Facebook 00:04:00 Case Study Exercise: BCG Matrix - Apple 00:02:00 CASE STUDY SOLUTION: BCG Matrix - Apple 00:04:00 Case Study Exercise: BCG Matrix - Unilever 00:02:00 CASE STUDY SOLUTION: BCG Matrix - Unilever 00:05:00 MBA Strategy: Building Sustainable Competitive Advantage Competitive Advantage - Deriving Strategy from Inside the Firm 00:03:00 Core Competency 00:05:00 VRIO - Resources to Competitive Advantage 00:06:00 Case Study Exercise: Core Competency - Apple 00:02:00 CASE STUDY SOLUTION: Core Competency - Apple 00:05:00 Defining the Unique Selling Proposition 00:05:00 ADL Matrix - Understanding Your Competitive Position 00:07:00 ADL Matrix Template 00:02:00 Strategy MBA: Growth Strategy Options Ansoff Product Market Matrix - How to Grow Your Business 00:05:00 Organic vs Inorganic Growth 00:02:00 Internal and External Growth Strategies Expanded 00:11:00 Case Study Exercise: Amazon's Growth Strategy 00:02:00 CASE STUDY SOLUTION - Amazon's Growth Strategy 00:06:00 Strategic Responses To Mature and Declining Markets Blue Ocean Strategy 00:05:00 Blue Ocean Case Study - Apple 00:05:00 Comparing Red Ocean and Blue Ocean Strategies 00:04:00 How to Survive in an Over Fished Ocean 00:05:00 How to Create a Comparative Competitive Analysis On a Page How to Create a Comparative Competitive Analysis on a Page 00:04:00 Connecting MBA Strategy and Finance with financial Modelling Making The Connection Between Strategy And Finance 00:04:00 What is an Integrated Financial Model 00:06:00 Key Drivers Of An Integrated Financial Model 00:08:00 Model Structure 00:03:00 Detailed Model Schedules 00:07:00 Chart of Accounts 00:02:00 Financial Statement Inputs and Outputs 00:03:00 10 Steps to Building an Integrated Financial Model 00:05:00 Strategy MBA Implementation: Understanding The Strategic Planning Process Summary of the Strategic Analysis Process 00:03:00 Understanding The Strategic Planning Process 00:06:00 Four Step Strategic Management Process 00:03:00 Strategy Formulation in Six Steps 00:07:00 Mintzberg's Five Configurations 00:05:00 Summary and Wrap Up - Congratulations On Completing This Strategy MBA Course! Course Summary and Wrap Up 00:05:00 Supplementary Resources Supplementary Resources - Mini MBA - Foundations of Business Strategy Consulting 00:00:00 Final Assessment Assessment - Mini MBA - Foundations of Business Strategy Consulting 00:10:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Managing Multiple Projects: On-Demand Succeeding in today's competitive marketplace often requires cycle time reduction - reducing the duration of projects and getting results faster. This workshop will address managing multiple projects within the context of program or product management. Are your projects taking longer and longer to complete? Are results less than optimal because of time pressures on resources? Would you like to increase project 'throughout'? Succeeding in today's competitive marketplace often requires cycle time reduction - reducing the duration of projects and getting results faster. This workshop will address managing multiple projects within the context of program or product management. Planning and managing individual projects is challenging. When introducing the real-life limitation of resources and other outside influences into the multi-project environment, those challenges are magnified, and new challenges are introduced. This interactive workshop will position you for immediate action. The goal of this course is to equip you with the necessary knowledge, skills, and techniques so that you can effectively and productively manage multiple projects. What you Will Learn You'll learn how to: Manage stakeholder relationships and expectations Prioritize and sequence multiple projects Manage time and stress within a multiple project environment Effectively manage logical dependencies among projects Optimize the use of resources across multiple projects using concepts from Critical Chain methods Manage risk and communications in a multiple project environment Getting Started Introductions Course structure Course goals and objectives Foundation Concepts Portfolio, program, and project management principles The multiple project environment The MMP Process Model Developing the Multiple Project List Multiple project portfolio management Project selection Project categories and types The multiple project list Multiple Project Logical Dependencies Project dependencies Types of multiple project portfolios Categories of logical dependencies across multiple projects Project priorities in the multiple project schedule Multiple Project Resource Management Multiple project resources and resource management concepts Multiple project resource loading Resource pool and resource database Multiple project resource issues and outsourcing Critical chain resource management, including drum resources and multi-tasking Managing Risk Across Multiple Projects Multiple project risk management process Identifying, assessing, and responding to multiple project risks Critical chain and multiple project risks Risk interrelationship management methods Creating and Executing the Multiple Project Plan The multiple project plan Multiple project scheduling Multiple project budgeting Executing and maintaining the multiple project plan Controlling in the multiple project environment Tools in multiple project management Multiple Project Communications Effective communication in the multiple project environment Common communication barriers Multiple project communications plan Resolving multiple project conflicts Summary and Next Steps What did we learn, and how can we implement this in our work environments?

Use deep learning, Computer Vision, and machine learning techniques to build an autonomous car with Python

Description Would You Like More Success In Your Life? Have you ever wished you could have more happiness, have more success, have more influence, and handle your finances? Success is a skill that can be learnt. In this course, I want to show you the rules for success in your personal and professional life. You'll learn how to master your wealth, your finance, your happiness, your influence, your self-mastery and so much more so you can have the success you deserve! This is a course that everyone should enroll in to get a better life! This is what you'll learn in this course: What The Success Mindset Is & How They Can Have It The Secrets To Have More Wealth & Be Financially Free - Finance Tips The Keys To Lasting Happiness - Happiness Secrets The Formula To Influence Anyone Instantly - Influence Model How To Be A Great Leader The Keys To Self-Mastery The Habits For Success How To Brand Yourself For Success This course is for people who would like to experience more success in their personal and professional life. Go ahead enroll in this course now. There is a 30 day money back guarantee so you can try this course risk-free! What you'll learn What The Success Mindset Is & How They Can Have It The Secrets To Have More Wealth & Be Financially Free - Finance Tips The Keys To Lasting Happiness - Happiness Secrets The Formula To Influence Anyone Instantly - Influence Model How To Be A Great Leader The Keys To Self-Mastery The Habits For Success How To Brand Yourself For Success Requirements  A willingness to apply the world's best success techniques Who is the target audience ? People who would like to take their life to the next level People who would like to have more wealth, have more personal success, a better mindset, be happier, etc People who would like to have success in their personal and professional life People who want to learn the principles of success Success: The 7 Skills To Success, Confidence & Achievement Welcome + What You Will Learn FREE 00:04:00 Discover The Mindset For Success & How You Can Implement It For Your Success 00:28:00 The Secrets To Have More Wealth & Be Financially Free 00:22:00 Discover The Keys To Lasting & Real Happiness 00:14:00 How To Influence Anyone Anywhere: The Most Powerful Influence Model Explained! 00:19:00 Become An Outstanding Leader: Real Leadership Secrets Revealed! 00:17:00 Self-Mastery: Learn How To Master Yourself To Welcome Success To Your Life 00:12:00 Powerful Habits For Success: Leant The Habits That WIll Fast Track Your Success 00:13:00 Branding Yourself: Be & Appear As Your Stronger Self 00:10:00

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

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

The aim of the Managing and Improving Quality in Health and Social Care course is to provide learners with an understanding of the principles and practices of quality management in health and social care settings. The course aims to equip learners with the necessary knowledge and skills to manage and improve the quality of care provided to service users. By the end of the course, learners should be able to understand the importance of quality management, identify and implement quality improvement initiatives, and evaluate the effectiveness of quality management systems. After the successful completion of the course, you will be able to: Understand the concept and importance of stakeholders in Quality Improvement Learn about the duties and responsibilities of the stakeholders in healthcare Appreciate the stakeholder's perspectives and analysis Comprehend the four and nine-sector table analysis Understand the concept of the synergy model in health and social care Look into the quality measurement and its framework This course covers the fundamental principles of quality improvement in health and social care. Students will learn about the key stakeholders involved in quality improvement, their responsibilities and perspectives. The course will also explore various models and frameworks for quality improvement, such as the four and nine-sector table analysis and the synergy model. In addition, students will gain an understanding of the process of measuring and evaluating quality in healthcare. By the end of the course, students will have the knowledge and skills necessary to manage and improve quality in health and social care settings. This course covers the fundamental principles of quality improvement in health and social care. Students will learn about the key stakeholders involved in quality improvement, their responsibilities and perspectives. The course will also explore various models and frameworks for quality improvement, such as the four and nine-sector table analysis and the synergy model. In addition, students will gain an understanding of the process of measuring and evaluating quality in healthcare. By the end of the course, students will have the knowledge and skills necessary to manage and improve quality in health and social care settings. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Managing and Improving Quality in Health and Social Care - N Self-paced pre-recorded learning content on this topic. Managing and Improving Quality in Health and Social Care Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. Healthcare Manager Social Care Manager Equality, Diversity and Inclusion (EDI) Manager HR Manager or HR Business Partner Healthcare Professional Social Care Professional Nurse or Caregiver Medical or Allied Health Professional Diversity and Inclusion (D&I) Consultant Employee Relations Specialist Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

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

This course comes bundled with basic to advanced level knowledge on Spring and Spring Boot with 200+ questions and answers. With REST API, JPA, Hibernate, and Spring Data JPA, you have the upper hand in your interviews for sure.