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The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. 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This Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:08:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:07:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Python Machine Learning & Data Science Fundamentals 00:00:00
Step into the captivating world of persuasive communication with 'The Art of Persuasive Communication'. This course deciphers the delicate art of swaying opinions and moving audiences, offering a nuanced dive into tailoring messages for specific listeners and bolstering your credibility as a speaker. By delving into emotional appeal, rational logic, and potent storytelling, learners will unravel the intricacies of impactful communication. By the end, participants will be poised to captivate, convince, and convey with unparalleled efficacy. Learning Outcomes Differentiate between informative and persuasive messaging strategies. Adapt communication techniques to resonate with distinct audiences. Develop a robust understanding of ethos, pathos, and logos in crafting compelling narratives. Design persuasive messages that maintain ethical standards and bolster credibility. Implement a comprehensive approach to persuasive communication, from hooking listeners to presenting solutions. Why buy this The Art of Persuasive Communication course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the The Art of Persuasive Communication 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 The Art of Persuasive Communication course for? Individuals aiming to enhance their persuasive speaking capabilities. Marketers and salespeople wishing to strengthen their pitch and presentation skills. Leaders and managers seeking to influence team members or stakeholders. Teachers and trainers looking to make their content more engaging and impactful. Anyone desiring to become a more persuasive communicator in both professional and personal settings. Prerequisites This The Art of Persuasive Communication does not require you to have any prior qualifications or experience. You can just enrol and start learning.This The Art of Persuasive Communication 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 Public Relations Specialist: £25,000 - £50,000 Marketing Manager: £30,000 - £60,000 Corporate Trainer: £30,000 - £55,000 Sales Manager: £28,000 - £58,000 Speechwriter: £30,000 - £60,000 Communication Consultant: £35,000 - £65,000 Course Curriculum Section 1: Introduction Welcome & Course Overview 00:03:00 Section 2: Lessons on Persuasive Communication Moving from an Informative to Persuasive Message 00:04:00 Tailoring Your Message to Specific Listeners 00:04:00 Increasing Your Identification with Listeners 00:06:00 Your Credibility as a Speaker (Ethos) 00:03:00 How to Communicating Your Competence 00:06:00 How to Communicate Your Character 00:03:00 How to Communicate Your Goodwill 00:04:00 Appealing to Listeners' Emotions (Pathos) 00:02:00 How to Tell Stories to Appeal to Listeners' Emotions 00:06:00 How to Use Creative Language to Add Impact 00:07:00 How to Use Your Emotions: Emotional Contagion 00:03:00 Appealing to Listeners' Minds (Logos) 00:02:00 Practical Ways to Appeal to Listeners' Minds 00:08:00 How to Design Your Overall Message for Maximum Persuasion 00:06:00 How to Hook Your Listeners 00:04:00 How to Show Listeners the Real Problem that Needs to be Fixed 00:04:00 How to Explain Your Solution Clearly 00:05:00 How to Help Listeners Visualize the Benefits of Your Solution 00:05:00 How to Explain the Potential Downside to Stay Ethical & Maintain Credibility 00:05:00 How to Make Your 'Ask' the Easy Way 00:07:00 Putting it All Into Practice (Application, Review, and Template Walk-Through) 00:07:00 Wrap Up & Next Steps 00:01:00 Assignment Assignment - The Art of Persuasive Communication 00:00:00
Free Level 5 QLS Endorsed Certificate | CPD Accredited | 150 CPD Points | Advanced Learning Materials | Lifetime Access
Overview This AutoCAD Programming using VB.NET course will unlock your full potential and will show you how to excel in a career in AutoCAD Programming using VB.NET. So upskill now and reach your full potential. Everything you need to get started in AutoCAD Programming using VB.NET is available in this course. Learning and progressing are the hallmarks of personal development. This AutoCAD Programming using VB.NET will quickly teach you the must-have skills needed to start in the relevant industry. In This AutoCAD Programming using VB.NET Course, You Will: Learn strategies to boost your workplace efficiency. Hone your AutoCAD Programming using VB.NET skills to help you advance your career. Acquire a comprehensive understanding of various AutoCAD Programming using VB.NET topics and tips from industry experts. Learn in-demand AutoCAD Programming using VB.NET skills that are in high demand among UK employers, which will help you to kickstart your career. This AutoCAD Programming using VB.NET course covers everything you must know to stand against the tough competition in the AutoCAD Programming using VB.NET field. The future is truly yours to seize with this AutoCAD Programming using VB.NET. Enrol today and complete the course to achieve a AutoCAD Programming using VB.NET certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the AutoCAD Programming using VB.NET course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the AutoCAD Programming using VB.NET course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate. Certificate of Achievement Upon successfully completing the AutoCAD Programming using VB.NET course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This AutoCAD Programming using VB.NET is suitable for anyone aspiring to start a career in AutoCAD Programming using VB.NET; even if you are new to this and have no prior knowledge on AutoCAD Programming using VB.NET, this course is going to be very easy for you to understand. And if you are already working in the AutoCAD Programming using VB.NET field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. Taking this AutoCAD Programming using VB.NET course is a win-win for you in all aspects. This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This AutoCAD Programming using VB.NET course has no prerequisite. You don't need any educational qualification or experience to enrol in the AutoCAD Programming using VB.NET course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online AutoCAD Programming using VB.NET course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Unit 01: Introduction Module 01: Course Outline 00:03:00 Module 02: Introduction 00:05:00 Module 03: Who is this course for? 00:04:00 Module 04: Tools Needed for this Course 00:01:00 Unit 02: What will you learn from this Course? Module 01: What will you learn from this Course - Overview 00:06:00 Unit 03: Windows Form and Controls Module 01: Windows Form and Controls - Overview 00:04:00 Module 02: ControlsDemo Project - Overview 00:03:00 Module 03: ControlsDemo Project - Creating the Project 00:04:00 Module 04: Controls Demo Project - Designing the Form 00:19:00 Module 05: ControlsDemo Project - Creating the Utility Class 00:10:00 Module 06: ControlsDemo Project - Coding the Combobox Control 00:15:00 Module 07: ControlsDemo Project - Coding the Textbox Control 00:10:00 Module 08: ControlsDemo Project - Coding the Radiobutton Control 00:08:00 Module 09: ControlsDemo Project - Coding the Checkbox Control 00:17:00 Unit 04: Developing Projects Module 01: Draw Rectangle Project - Overview 00:03:00 Module 02: Creating the DrawRectangle Project 00:04:00 Module 03: DrawRectangle Project - Creating the Utility Class 00:20:00 Module 04: DrawRectangle Project - Designing the Form 00:15:00 Module 05: DrawRectangle Project - Coding the User Interface Part 1 00:24:00 Module 06: DrawRectangle Project - Coding the User Interface Part 2 00:18:00 Module 07: DrawRectangle Project - Running the Program 00:06:00 Module 08: Automate Update Layer Project - Overview 00:02:00 Module 09: Creating the AutomateUpdateLayer Project 00:03:00 Module 10: Automate Update Layer Project - Creating the Utility Class 00:17:00 Module 11: AutomateUpdateLayer Project - Designing the User Interface 00:07:00 Module 12: AutomateUpdateLayer Project - Coding the Form 00:18:00 Module 13: AutomateUpdateLayer Project - Running the Program 00:07:00 Module 14: Automatic Block Extractor Project - Overview 00:03:00 Module 15: AutomaticBlockExtractor Project - Creating the Project 00:03:00 Module 16: AutomaticBlockExtractor Project - Creating the User Interface 00:09:00 Module 17: AutomaticBlockExtractor Project - Coding the Form 00:27:00 Module 18: AutomaticBlockExtractor Project - Creating the Utility Class 00:27:00 Module 19: AutomaticBlockExtractor Project - Running the Program 00:10:00 Module 20: AutomateUpdateTextStyles Project - Overview 00:03:00 Module 21: AutomateUpdateTextStyle Project - Creating the Project 00:02:00 Module 22: AutomateUpdateTextStyle Project - Creating the User Interface 00:09:00 Module 23: AutomateUpdateTextStyle Project - Coding the Form 00:20:00 Module 24: AutomateUpdateTextStyle Project - Coding the Utility Class 00:16:00 Module 25: AutomateUpdateTextStyle Project - Running the Program 00:08:00 Module 26: Multiple Plot DWG to PDF Project - Overview 00:03:00 Module 27: MultiplePlotDWGtoPDF Project - Creating the Project 00:04:00 Module 28: MultiplePlotDWGtoPDF Project - Creating the User Interface 00:09:00 Module 29: MultiplePlotDWGtoPDF Project - Coding the Form 00:20:00 Module 30: MultiplePlotDWGtoPDF Project - Creating the Utility Class 00:30:00 Module 31: MultiplePlotDWGtoPDF Project - Running the Program 00:13:00 Module 32: Multiple Object Extractor Project - Overview 00:03:00 Module 33: MultipleObjectExtractor Project - Creating the Project 00:02:00 Module 34: MultipleObjectExtractor Project - Creating the User Interface 00:15:00 Module 35: MultipleObjectExtractor Project - Coding the Form Load Event 00:05:00 Module 36: MultipleObjectExtractor Project - Coding the Browse Buttons 00:10:00 Module 37: MultipleObjectExtractor Project - Coding the Extract Button 00:20:00 Module 38: MultipleObjectExtractor Project - Coding the ProcessDrawing Method 00:09:00 Module 39: MultipleObjectExtractor Project - Coding the ProcessObjectExtraction Method 00:11:00 Module 40: MultipleObjectExtractor Project - Coding the ExtractLine Method 00:09:00 Module 41: MultipleObjectExtractor Project - Coding the ExtractCircle Method 00:03:00 Module 42: MultipleObjectExtractor Project - Coding the ExtractPolyline Method 00:09:00 Module 43: MultipleObjectExtractor Project - Coding the ExtractMText Method 00:05:00 Module 44: MultipleObjectExtractor Project - Coding the ExtractBlock Method 00:05:00 Module 45: MultipleObjectExtractor Project - Running the Program 00:15:00 Unit 05: Conclusion Module 01: Conclusion 00:01:00
Overview Gain the ultimate leadership and management skills and become a qualified leader by enrolling in the advanced Complete Leadership and Management Diploma - Level 4 course. This comprehensive Complete Leadership and Management Diploma - Level 4 aims to equip you with a solid understanding of leadership and management,along with the skills, expertise and confidenceto drive your career forward. You'll learn about professional skill development essentials, time management, delegation, dealing with poor performance, defining team values and goals, project management, and many more. Throughout the course, you'll discover many reasons for being unable to achieve goals and credibility that will help your personal development. Boost your career opportunities as a leader by enrolling today! 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 Complete Leadership and Management Diploma - Level 4. It is available to all students, of all academic backgrounds. Requirements Our Complete Leadership and Management Diploma - Level 4 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 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 Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 21 sections • 21 lectures • 08:46:00 total length •Introduction to the Course: 00:03:00 •Understanding Management and Leadership: 00:40:00 •Leadership Theories: 00:25:00 •Improving Management and Leadership Performance: 00:15:00 •High Performance Teams: 00:32:00 •Motivating Employees: 00:26:00 •Organisational Skills: 00:26:00 •Talent Management: 00:37:00 •Succession Planning: 00:24:00 •Business Process Management: 00:28:00 •Communication Skills: 00:27:00 •Negotiation Techniques: 00:15:00 •Managing Meetings and Giving Feedback: 00:21:00 •Managing Change: 00:22:00 •Time Management: 00:37:00 •Stress Management: 00:15:00 •Emotional Intelligence in Leadership: 00:32:00 •Managing Conflict: 00:14:00 •Dealing with Office Politics: 00:34:00 •Risk Management: 00:37:00 •Corporate Responsibility and Ethics: 00:16:00