28444 Development courses in Bristol delivered Online

Overview This comprehensive course on Data Science 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 with Python comes with accredited certification, 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 with Python. It is available to all students, of all academic backgrounds. Requirements Our Data Science 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 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 3 sections • 6 lectures • 01:15:00 total length •Module 01: Introduction to Python Data Science: 00:03:00 •Module 02: Environment Setup: 00:10:00 •Module 01: Numpy package for calculations: 00:16:00 •Module 02: Panda package for Data cleaning: 00:19:00 •Module 01: Matplotlib Data Visualization Part 1: 00:16:00 •Module 02: Matplotlib Data Visualization Part 2: 00:11:00

Overview Make a massive difference to someone's quality of life and boost your potential in an exciting new career path. This innovative course is designed to train anyone to become an effective and qualified Life Coach, helping people to achieve their personal goals. The Coaching & Mentoringcourse will teach you much more than just people management. You will learn to develop excellent communication skills, understand neuro-linguistic programming, read body language, provide motivation and emotional support, and recognise success. Alongside this, you will be taught how to seize business opportunities with this skill, and thrive in a growing industry. 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 in this Coaching & Mentoring. It is available to all students, of all academic backgrounds. Requirements Our Coaching & Mentoring 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 1 sections • 8 lectures • 04:33:00 total length •Module 1: Introduction to Coaching and Mentoring: 00:28:00 •Module 2: Coaching and Mentoring: Objectives & Processes: 00:33:00 •Module 3: Ethical Aspects of Coaching and Mentoring: 00:35:00 •Module 4: Coaching and Mentoring Models: 01:01:00 •Module 5: Effective Communication Skills: 00:28:00 •Module 6: Personal Skills: 00:27:00 •Module 7: Management Skills: 00:26:00 •Module 8: Functional Skills: 00:35:00

Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join 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? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 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: 00:04:00 •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: 00:06:00 •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

Overview This comprehensive course on English Literature will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This English Literature 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 English Literature. It is available to all students, of all academic backgrounds. Requirements Our English Literature course 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 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 14 sections • 83 lectures • 11:07:00 total length •The History of Drama: 00:10:00 •Elizabethan Drama: 00:12:00 •William Shakespeare: 00:06:00 •Hamlet: A Synopsis of the Play: 00:04:00 •Hamlet: An Anlaysis of the Play: 00:19:00 •Hamlet's Soliloquies: 00:05:00 •Jacobean Literature Poetry and Prose: 00:12:00 •Puritanism & The English Civil War: 00:11:00 •Metaphysical Poetry: 00:08:00 •Metaphysical Poetry: 00:08:00 •George Herbert: 00:05:00 •Andrew Marvell: 00:07:00 •John Milton: 00:08:00 •The Restoration & Glorious Revolution: 00:06:00 •The Novel: 00:08:00 •Early Novelists: Defoe, Richardson, and Fielding: 00:11:00 •English Satire: John Dryden & Alexander Pope: 00:06:00 •Jonathan Swift & Gulliver's Travels: 00:10:00 •Swift's A Modest Proposal: 00:08:00 •Colonialism & John Smith: 00:07:00 •Pilgrim Writers: 00:10:00 •The Revolutionary Period Writers: 00:07:00 •The Knickerbocker Era: Washington Irving: 00:14:00 •Frontier Fiction: James Fenimore Cooper: 00:10:00 •The Westward Expansion: 00:04:00 •Transcendentalism: Ralph Waldo Emerson: 00:10:00 •Transcendentalism: Henry David Thoreau: 00:08:00 •Anti-Transcendentalism: Nathaniel Hawthorne: 00:05:00 •Nathaniel Hawthorne and The Scarlet Letter: 00:08:00 •Herman Melville: 00:05:00 •Edgar Allan Poe: 00:06:00 •Poe's 'The Cask of Amontillado': 00:05:00 •Poe's 'The Raven': 00:07:00 •The American Civil War Era & Harriet Beecher Stowe: 00:07:00 •Walt Whitman: 00:09:00 •Whitman's 'Drum Taps': 00:06:00 •Emily Dickinson: 00:09:00 •The Gilded Age: 00:07:00 •Local Color Writing: Mark Twain: 00:08:00 •Tom Sawyer & Huck Finn: 00:11:00 •A Connecticut Yankee in King Arthur's Court: 00:07:00 •Female Writers & The French Revolution: 00:12:00 •Mary Wollstonecraft: 00:09:00 •Helen Maria Williams: 00:08:00 •Unitarianism: 00:04:00 •Harriet Martineau: 00:12:00 •Anna Laetitia Barbauld: 00:06:00 •Lucy Aikin: 00:05:00 •The Napoleonic Wars: 00:08:00 •The Romantic Period: 00:05:00 •William Blake: 00:08:00 •William Wordsworth: 00:08:00 •Samuel Taylor Coleridge: 00:08:00 •Percy Bysshe Shelley: 00:08:00 •John Keats: 00:09:00 •Lord George Gordon Byron: 00:07:00 •Gothic Novels: 00:10:00 •Jane Austin's Pride and Prejudice: 00:14:00 •Victorian Novels: 00:09:00 •Emily Brontë and Wuthering Heights: 00:11:00 •Charles Dickens and Great Expectations: 00:15:00 •Anti-Victorianism & Edwardian England: 00:05:00 •Imagism & Gertruid Stein: 00:05:00 •Post War Literature & Ezra Pound: 00:10:00 •T.S. Eliot: 00:13:00 •William Carlos Williams: 00:05:00 •Archibald MacLeish: 00:05:00 •Modernist Fiction: 00:07:00 •Henry James: 00:07:00 •James Joyce: 00:07:00 •Joyce's 'Araby': 00:19:00 •Joyce's Ulysses: 00:07:00 •Virginia Woolf: 00:06:00 •Virgina Woolf's To the Lighthouse: 00:12:00 •Ernest Hemingway and the Lost Generation: 00:05:00 •Hemingway's The Sun Also Rises: 00:10:00 •F. Scott Fitzgerald: 00:04:00 •Fitzgerald's The Great Gatsby: 00:08:00 •ee cummings: 00:06:00 •Robert Lowell: 00:05:00 •The Beat Generation & Allen Ginsberg: 00:11:00 •Resources - English Literature: 00:00:00 •Assignment - English Literature: 00:00:00

Overview This comprehensive course on Spatial Data Visualization and Machine Learning in Python Level 4 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Spatial Data Visualization and Machine Learning in Python Level 4 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? After successfully completing the course you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Spatial Data Visualization and Machine Learning in Python Level 4. It is available to all students, of all academic backgrounds. Requirements Our Spatial Data Visualization and Machine Learning in Python Level 4 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 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 8 sections • 21 lectures • 04:40:00 total length •Introduction: 00:14:00 •Python Installation: 00:03:00 •Installing Bokeh: 00:04:00 •Data Preparation: 00:24:00 •Creating a Bar Chart: 00:18:00 •Creating a Line Chart: 00:12:00 •Creating a Doughnut Chart: 00:22:00 •Creating a Magnitude Plot: 00:31:00 •Creating a Geo Map Plot: 00:20:00 •Creating a Grid Plot: 00:12:00 •Data Pre-processing: 00:21:00 •Building a Predictive Model: 00:21:00 •Building a Prediction Dataset: 00:07:00 •Adding predicted data to our plots - Part 1: 00:13:00 •Adding predicted data to our plots - Part 2: 00:14:00 •Adding predicted data to our plots - Part 3: 00:15:00 •Adding the Grid Plot: 00:08:00 •Installing Visual Studio Code: 00:01:00 •Creating the Project and Virtual Environment: 00:08:00 •Building and Running the Server: 00:12:00 •Resources: 00:00:00

Overview This comprehensive course on Testing using SOAP UI will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Testing using SOAP UI 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? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Testing using SOAP UI. It is available to all students, of all academic backgrounds. Requirements Our Testing using SOAP UI 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 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 2 sections • 9 lectures • 04:07:00 total length •Module 01: Introduction to SOAP UI: 00:15:00 •Module 02: Installation instructions for SOAP UI: 00:22:00 •Module 03: Various Components in SOAP UI: 00:30:00 •Module 04: WSDL Testing in SOAP UI: 00:44:00 •Module 05: Load Testing in SOAP UI: 00:34:00 •Module 06: Security Testing in SOAP UI: 00:34:00 •Module 07: REST Testing in SOAP U: 00:42:00 •Module 08: Functional Testing in SOAP UI: 00:26:00 •Assignment - Testing using SOAP UI: 00:00:00

Delve into the world of Python programming paired seamlessly with MySQL database management in this thoughtfully designed course. Whether you’re a complete beginner or someone keen to refresh your coding foundations, this course guides you through the essentials of Python—from understanding syntax and control structures to working with functions and modules. Alongside, you will become acquainted with MySQL, mastering the basics of database creation, queries, and data manipulation, ensuring a smooth integration between programming logic and data storage. This online course offers a clear and engaging pathway to developing your coding knowledge and database skills without the need for physical attendance. It balances technical depth with accessible explanations, making complex concepts approachable and even enjoyable. Ideal for individuals aiming to boost their programming portfolio or enhance their career prospects in software development and data handling, this course is designed to fit your schedule and learning pace with clarity and professionalism. Expert Support Dedicated tutor support and 24/7 customer support are available to all students with this premium quality course. Key Benefits Learning materials of the Design course contain engaging voiceover and visual elements for your comfort. Get 24/7 access to all content for a full year. Each of our students gets full tutor support on weekdays (Monday to Friday) Course Curriculum: Here is a curriculum breakdown of the Python Programming from Scratch with My SQL Database course: Section 01: Getting Started Section 02: HTML Section 03: HTML Basic Section 04: HTML Intermediate Section 05: HTML Advanced Section 06:Python Introduction Section 07: Python Basic Section 08: Python Strings Section 09: Python Operators Section 10: Python Data Structures And much more... Course Assessment To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%. When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). Who is this course for? This Python Programming from Scratch with My SQL Database course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge. Requirements This Python Programming from Scratch with My SQL Database course is open to all, with no formal entry requirements. Career path Upon successful completion of the Python Programming from Scratch with My SQL Database Course, learners will be equipped with many indispensable skills and have the opportunity to grab.

Boost Your Career By Enrolling In This Salon Management Bundle To Overcome Your Challenges! 10 in 1 Salon Management Bundle Improve your knowledge and enhance your skills to succeed with this Salon Management bundle. This Salon Management bundle is designed to build your competent skill set and enable the best possible outcome for your future. Our bundle is ideal for those who aim to be the best in their fields and are always looking to grow. This Salon Management Bundle Contains 10 of Our Premium Courses for One Discounted Price: Course 01: Salon Management Course 02: Hair & Beard Barber Training Course 03: Waxing and Hair Removal Course 04: Hair Extensions Course Course 05: Beauty Skincare Treatment Course 06: Beauty Care and Acne Treatment Course Course 07: Fashion and Lifestyle Blogger Course Course 08: Advanced Makeup Artist Course 09: Eyelash Training - CPD Accredited Course 10: Personal Hygiene Course All the courses under this Salon Management bundle are split into a number of expertly created modules to provide you with an in-depth and comprehensive learning experience. Upon successful completion of the Salon Management bundle, an instant e-certificate will be exhibited in your profile that you can order as proof of your new skills and knowledge. Stand out from the crowd and get trained for the job you want. With this comprehensive Salon Management bundle, you can achieve your dreams and train for your ideal career. This Salon Management bundle covers essential aspects in order to progress in your chosen career. Why Prefer Us? All-in-one package of 10 premium courses' Salon Management bundle Earn a certificate accredited by CPD QS. Get a free student ID card! (£10 postal charges will be applicable for international delivery) Globally accepted standard lesson planning Free Assessments 24/7 tutor support. Start your learning journey straightaway! *** Course Curriculum *** Salon Management Course Module 01: Ask Yourself: Do you have what Salon Management demands? Module 02: What is Salon? Module 03: The Salon Management Part 01 Module 04: The Salon Management Part 02 Module 05: Training & Skill Module 06: Staff & Employment Module 07: All About Clients Module 08: Treatments Module 09: Types of equipment and Its Uses Module 10: Business management Part 01 Module 11: Business management Part 02 Module 12: Business Management 03 Module 13: Finance Money & Accounts Module 14: Marketing, Advertising & Promotion Module 15: Being Successful Assessment Process Once you have completed all the courses in the bundle, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. CPD 115 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This bundle is suitable for everyone. Requirements You will not need any prior background or expertise. Career path This bundle will allow you to kickstart or take your career in the related sector to the next stage. Certificates Accredited Certificate by CPD QS Digital certificate - £10 Upon passing the Bundle, you need to order to receive a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS Accredited Certificate by CPD QS Hard copy certificate - £29 Upon passing the Bundle, you need to order to receive a Hard copy Certificate for each of the courses inside this bundle. If you are an international student, then you have to pay an additional 10 GBP as an international delivery charge.

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Description Make your communication speed up with the communication and teamwork hub Microsoft Team which is considered as the best hub for every type of teamwork. Microsoft Teams Essential Training course teaches you how to use Microsoft Teams to collaborate more flawlessly. Microsoft Teams is the digital hub that brings together colleagues, conversations, content, assignments, and apps in one place. Microsoft Teams can be used by anyone including businessmen, educational instructor, or more. Students can use it for group projects while the teacher can use it for the collaborative classroom. The course shows you how to enable the app, sign in on a computer or mobile device. Then you will learn how to connect with team members, initiate new conversations, organize video and audio conferences with the Meetings feature. Finally, the course shows you the techniques of sharing files with Microsoft Teams. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Microsoft Teams Essential Training is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Microsoft Teams Essential Training is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. LESSON: 01 TOPIC A Getting Started with Microsoft Teams 00:15:00 TOPIC B Using Channels 00:15:00 TOPIC C Posting Messages 00:15:00 TOPIC D Getting Help with Microsoft Teams 00:15:00 LESSON: 02 TOPIC A Managing Messages 00:15:00 TOPIC B Doing More with Messages 00:15:00 TOPIC C Managing Files in a Channel 00:15:00 TOPIC D Using the Wiki 00:15:00 LESSON: 03 TOPIC A Using Chat (Part 1) 00:15:00 TOPIC B Using Chat (Part 2) 00:15:00 TOPIC C Managing Meetings 00:15:00 Topic D Managing Files in Teams 00:15:00 LESSON: 04 TOPIC A Customizing Channels 00:15:00 TOPIC B Adding Tabs to a Channel 00:15:00 TOPIC C Adding Connectors to a Channel 00:15:00 LESSON: 05 TOPIC A Managing Your Teams Profile 00:15:00 TOPIC B Managing Teams 00:15:00 TOPIC C Adding Apps and Bots 00:15:00 LESSON LABS 00:15:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00