2945 Courses

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 Course Overview Course Overview 00:04:00 Building Your Virtual Lab Environment Video and Lab - Creating a Virtual Install of Kali Linux Using VirtualBox 00:12:00 Video - Lab Preparation for CTF Toppo 00:04:00 Capture the Flag Walkthrough - Toppo Video - Lab Preparation for CTF Lampiao 00:06:00 Video - Recon, Enumeration, Gaining access - Lampiao 00:14:00 Video - Exploitation, Privilege Elevation - Lampiao 00:13:00 Capture the Flag Walkthrough - Lampiao Video - Lab Preparation 00:02:00 Video - Recon, Enumeration, Gaining access - DC-1 00:08:00 Video - Exploitation, Privilege Elevation - DC-1 00:07:00 Capture the Flag Walkthrough - DC-1 Video - Lab Preparation - SickOS 1.1 00:05:00 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

Discover the power of data science and machine learning with Python! Learn essential techniques, algorithms, and tools to analyze data, build predictive models, and unlock insights. Dive into hands-on projects, from data manipulation to advanced machine learning applications. Elevate your skills and unleash the potential of Python for data-driven decision-making.

To complete this qualification learners should expect to undertake approximately 46-hours of learning. The SIA stipulates a minimum of 12 contact hours for the Physical Intervention Skills Within the Private Security Industry unit. Please refer to Highfield’s qualification specification for further details on suitable methods of distance learning.

Level 1 health and safety in a construction environment Preparation to CSCS Green Card Are you excited to learn informative knowledge essential for working safely in construction? Then, our level 1 health and safety in a construction environment Preparation to CSCS Green Card course will be very helpful for you. This level 1 health and safety in a construction environment course includes risk assessment, hazard identification, and safe working practices. Participants in this level 1 health and safety in a construction environment Preparation to CSCS Green Card course learn about personal protective equipment (PPE) and accident prevention. Also, the level 1 health and safety in a construction environment Preparation to CSCS Green Card course is perfect to learn about risk assessment and emergency procedures. Moreover, this level 1 health and safety in a construction environment Preparation to CSCS Green Card course equips learners with the skills to maintain a safe work environment. Enrol in our level 1 health and safety in a construction environment Preparation to CSCS Green Card course to ensure compliance with health and safety regulations in construction settings. Learning outcome of level 1 health and safety in a construction environment Preparation to CSCS Green Card course Upon completion of this level 1 health and safety in a construction environment Preparation to CSCS Green Card course, you will learn: Overview of safety in construction, plumbing, and safeguarding. This level 1 health and safety in a construction environment Preparation to CSCS Green Card course teaches identifying risks. Building codes and regulations for construction are part of this level 1 health and safety in a construction environment Preparation to CSCS Green Card course. Our level 1 health and safety in a construction environment Preparation to CSCS Green Card course is also ideal for learning first aid basics and HVAC industry's safety. How to follow safety protocols for fire, electrical, and gas is described in this level 1 health and safety in a construction environment Preparation to CSCS Green Card course. Also, this level 1 health and safety in a construction environment Preparation to CSCS Green Card course explains chemicals and other onsite hazards. Vehicles, personal protective equipment (PPE), and general safety are also included in this level 1 health and safety in a construction environment course. After finishing this level 1 health and safety in a construction environment course, you will be fully prepared for CSCS. Special Offers of this CSCS - Health and Safety in a Construction Environment - Preparation to CSCS Green Card Course This Health and Safety in a Construction Environment - Preparation to CSCS Green Card Course includes a FREE PDF Certificate. Lifetime access to this Health and Safety in a Construction Environment - Preparation to CSCS Green Card Course Instant access to this Health and Safety in a Construction Environment - Preparation to CSCS Green Card Course Get FREE Tutor Support to this Health and Safety in a Construction Environment - Preparation to CSCS Green Card Course Level 1 health and safety in a construction environment Preparation to CSCS Green Card Through this Level 1 health and safety in a construction environment Preparation to CSCS Green Card course, you can learn the fundamentals of the HVAC sector and how to adhere to safety regulations for gas, electricity, and fire. Moreover, the Level 1 health and safety in a construction environment Preparation to CSCS Green Card course explains vehicles, personal protective equipment (PPE), and general safety. Who is this course for? Health and Safety in a Construction Environment - Preparation to CSCS Green Card This Level 1 health and safety in a construction environment Preparation to CSCS Green Card certified course is required if you intend to begin working in the construction business in the United Kingdom. Special Note: Our Health and Safety in a Construction Environment - Preparation to CSCS Green Card Course is not a regulated course. If You want to get qualified, you can consider following options: Level 1 Award in the Principles of Health and Safety within the Workplace (RQF) NEBOSH National Certificate in Construction Health and Safety Level 1 Award in Health and Safety at Work (RQF) Health and Safety Management for Construction (UK) Level 1 Award in Health and Safety in a Construction Environment - Health and Safety in Construction - for the CSCS Green Card Level 1 Award in Health and Safety in a Construction Environment (RQF) Health and Safety Management for Construction (UK) Level 1 Award in Health and Safety in a Construction Environment (RQF) Level 1 Award in Health and Safety in a Construction Environment - Health and Safety in Construction - for the CSCS Green Card Requirements Health and Safety in a Construction Environment - Preparation to CSCS Green Card To enrol in this Preparation to CSCS Green Card Course, students must fulfil the following requirements. To join in our Preparation to CSCS Green Card Course, you must have a strong command of the English language. To successfully complete our Preparation to CSCS Green Card Course, you must be self driven. To complete our Preparation to CSCS Green Card Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Preparation to CSCS Green Card Course. Career path Health and Safety in a Construction Environment - Preparation to CSCS Green Card This Level 1 health and safety in a construction environment Preparation to CSCS Green Card course paves the way for entry-level positions in construction, such as labourer, apprentice, or construction site assistant.

LED Light Therapy is a non-invasive treatment which can address skin problems such as: sun damage, acne, fine line and wrinkles. LED Facials are extremely popular and effective treatments which can treat a variety of skin concerns. They can easily be added onto any facial for extra income with minimal extra time and preparation required. The LED light absorbed by the skin energises cells to give beneficial improvement by: Produce & stimulate collagen, elastin and brighten the skin rejuvenation Improve Skin Elasticity, texture and tone Increase Blood Circulation Increase Oxygen Levels Increase collagen synthesis Help reduce fine lines and wrinkles Improve blood circulation Increase hydration naturally Calming redness & healing the skin after other aesthetic treatments Reduce breakouts and problem skin & prevent future breakouts killing bacteria Regulate the sebum production in the skin Target multiple skin conditions such as acne, pigmentation, rosacea, scaring Helps improve the sun damage/photo-ageing of the skin Course prerequisites We accept students aged 18 and over. Students must have good written and spoken English. No qualifications or certifications are required for this course. Students must have good written and spoken English. Course agenda This intensive course includes 4 hours of theory study via our e-learning portal and 5 practical hours delivering treatments to model clients. All courses are kept intimate with a maximum of 6 learners to a class. Areas covered in this course: Industry regulation Insurance Client care/consultation Contra-indications and precautions Application of brow lamination products Aftercare Maintenance Further treatment advice Promotion of this exciting treatment Practical demonstration Practice sessions Practical on-going assessments Health and Safety Be ready to treat your clients by upgrading your training with an exclusively discounted starter kit including LED Light Therapy machine with a 50% saving at 150.

In this self-paced course, you will learn how to use TensorFlow 2 to build convolutional neural networks (CNNs). You will learn how to apply CNNs to several practical image recognition datasets and learn about techniques that help improve performance, such as batch normalization, data augmentation, and transfer learning.

Overview of Data Science & Machine Learning with Python Join our Data Science & Machine Learning with Python course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Science & Machine Learning with Python course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Data Science & Machine Learning with Python course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Data Science & Machine Learning with Python Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Science & Machine Learning with Python. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Data Science & Machine Learning with Python course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Data Science & Machine Learning with Python is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  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 You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python 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 course. Career Path The certification and skills you get from this Data Science & Machine Learning with Python Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. 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 00:04:00 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 Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 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 00:06:00 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 - Data Science & Machine Learning with Python 00:00:00

Gain comprehensive knowledge and practical skills for safe and effective oropharyngeal suctioning with our course. Learn techniques, equipment, and considerations for this critical procedure.

The purpose of this qualification is to enable learners to develop the knowledge and skills so they can engage, facilitate, educate and support clients in a gym or health club environment. Completing this qualification allows learners to access Gym Instructor jobs.

Overview   With the ever-increasing demand for Online Meeting in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Online Meeting may be.   Learning about Online Meeting or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Online Meeting. That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Online Meeting is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates.   The self-paced online learning methodology by Compete High in this Online Meeting Management course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course!   Instead of searching for hours, enrol right away on this Online Meeting Management course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run.   Who is this course for?   While we refrain from discouraging anyone wanting to do this Online Meeting Management course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of Online Meeting, Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Online Meeting, Anyone looking for a certificate of completion on doing an online training on this topic, Students of Online Meeting, or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity   Career Path   This Online Meeting Management course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams. Course Curriculum Module 01 - Planning & Preparation Planning & Preparation 00:00 Module 02 - Online Meeting Platforms Online Meeting Platforms 00:00 Module 03 - Meeting Etiquette Meeting Etiquette 00:00 Module 04 - Meeting Roles and Responsibilities Meeting Roles and Responsibilities 00:00 Module 05 - Selecting The Right Meeting Attendees Selecting The Right Meeting Attendees 00:00 Module 06 - Preparation for a Business Meeting Preparation for a Business Meeting 00:00 Module 07 - How To Professionally Deal With Personality Conflicts How To Professionally Deal With Personality Conflicts 00:00 Module 08 - Powerful Tips for Highly Productive Online Meetings Powerful Tips for Highly Productive Online Meetings 00:00