31467 TEC courses

Overview The growing global health and wellness industry, valued at $4.5 trillion, has witnessed an increased demand for professionals trained in the ancient art and science of baby massage. This course, Baby Massage, is meticulously designed to meet industry demands and equip learners with the knowledge and skills necessary to excel in this rewarding profession. The course curriculum includes Meridian Theory, Pediatric Massage, various massage techniques, acupoints for babies and children, and much more. It comprises modules such as 'Introduction to Pediatric Massage,' 'Meridian Theory Introduction,' and various techniques and protocols in Traditional Chinese Medicine (TCM) Pediatric Massage.Transform your passion into a profession. Enrol now in the Baby Massage course and take the first step towards a fulfilling career in the health and wellness 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 on this Baby Massage. It is available to all students, of all academic backgrounds. Requirements Our Baby Massage 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 • 53 lectures • 01:23:00 total length •01 - EAMFC - Baby Massage Marketing final: 00:03:00 •02 - EAMFC - Meridian Theory Introduction 2020: 00:04:00 •03 - EAMFC - Introduction to Pediatric Massage 2020: 00:01:00 •03 - 1 - EAMFC - TCM Paediatric Massage Protocol 2020: 00:01:00 •03 - 2 - EAMFC - Massage For Immunity Strengthening 2020: 00:03:00 •03 - 3 - EAMFC - Massage For Night Sweating 2020: 00:03:00 •03 - 4 - EAMFC - Massage For Stomach-ache 2020: 00:03:00 •03 - 5 - EAMFC - Massage For Constipation 2020: 00:02:00 •03 - 6 - EAMFC - Massage For Sinusitis 2020: 00:03:00 •03 - 7 - EAMFC - Massage for Imsomnia 2020: 00:04:00 •04 - EAMFC - Meridian Flows 2020: 00:07:00 •04 - 1 - EAMFC - Pushing Manipulation Technique 2020: 00:03:00 •04 - 2 - EAMFC - Arc Manipulation Technique 2020: 00:01:00 •04 - 3 - EAMFC - Kneeding Manipulation Technique 2020: 00:02:00 •04 - 4 - EAMFC - Pinching Manipulation Technique 2020: 00:02:00 •04 - 5 - EAMFC - Pressure Manipulation Technique 2020: 00:01:00 •04 - 6 - EAMFC - Rubbing Manipulation Technique 2020: 00:01:00 •04 - 7 - EAMFC - Stroking Manipulation Technique 2020: 00:02:00 •04 - 8 - EAMFC - Wiping Manipulation Technique 2020: 00:01:00 •05 - 0 - EAMFC - Introduction to Baby and Child Acupoints 2020: 00:01:00 •05 - 1 - EAMFC - Da zhui GV14 2020: 00:01:00 •05 - 2 - EAMFC - Lung Shu BL13 2020: 00:01:00 •05 - 3 - EAMFC - Spleen shu BL20 2020: 00:01:00 •05 - 4 - EAMFC - Kidney Shu BL 23 2020: 00:01:00 •05 - 5 - EAMFC - Spinal Column 2020: 00:02:00 •05 - 6 - EAMFC - QI Jie Gu2020 - Copy: 00:01:00 •05 - 7 - EAMFC - Stomach 2020: 00:01:00 •05 - 8 - EAMFC - Shan zhong CV17 2020: 00:01:00 •05 - 9 - EAMFC - Zhongwan CV 12 2020: 00:01:00 •05 - 10 - EAMFC - Tianshu ST 25 2020: 00:01:00 •05 - 11 - EAMFC - Xue hai (Bai chong) SP10 2020: 00:01:00 •05 - 12 - EAMFC - Zu San Li ST 36 2020: 00:01:00 •05 - 13 - EAMFC - San yin jiao SP 6 2020: 00:01:00 •05 - 14 - EAMFC - Yong quan KI 1 2020: 00:01:00 •05 - 15 - EAMFC - Liver Channel 2020: 00:01:00 •05 - 16 - EAMFC - Heart Channel 2020: 00:01:00 •05 - 17 - EAMFC - Spleen Channel 2020: 00:01:00 •05 - 18 - EAMFC - Lung Channel 2020: 00:01:00 •05 - 19 - EAMFC - Kidney Channel 2020: 00:01:00 •05 - 20 - EAMFC - Shen Ding - Tip of Kidney 2020: 00:01:00 •05 - 21 - EAMFC - Large intestine Channel 2020: 00:01:00 •05 - 22 - EAMFC - Ban men 2020: 00:01:00 •05 - 23 - EAMFC - Tianheshui - The Milky Way 2020: 00:01:00 •05 - 24 - EAMFC - Liu Fu - The Six Fu Visceral 2020: 00:01:00 •05 - 25 - EAMFC - Baihui GV 20 2020: 00:01:00 •05 - 26 - EAMFC - Yintang EX HN 3 2020: 00:01:00 •05 - 27 - EAMFC - Kan Gon 020: 00:01:00 •05 - 28 - EAMFC - Tianmen - Heaven Gate 2020: 00:01:00 •05 - 29 - EAMFC - Taiyang 2020: 00:01:00 •05 - 30 - EAMFC - Yingxiang LI 20 2020: 00:01:00 •05 - 31 - EAMFC - Ren zhong - The Philtrum GV 26 2020: 00:01:00 •05 -32 - EAMFC - Stomach Rubbing 2020: 00:01:00 •06 - 1 - EAMFC - Do and Don't 2020: 00:02:00

Overview This comprehensive course on Public Speaking and Presentation Skill Course will deepen your understanding on this topic .After successful completion of this course you can acquire the required skills in this sector. This Public Speaking and Presentation Skill Course 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 Public Speaking and Presentation Skill Course. It is available to all students, of all academic backgrounds. Requirements Our Public Speaking and Presentation Skill 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 10 sections • 45 lectures • 02:30:00 total length •Welcome to the Course: 00:03:00 •How to Talk Effectively?: 00:03:00 •Understand the Key Elements of Course: 00:04:00 •Why Don't People Learn Presentation Skills OR Public Speaking Skills?: 00:02:00 •#1 Unlearn Excuses, Kill this Unlearning First: 00:03:00 •#2 Unlearn Excuses, Stage Fear is like any other Fear: 00:01:00 •#3 Unlearn Excuses, My English is not Good?: 00:02:00 •#4 Unlearn Excuses, Going Blank!!!: 00:01:00 •#5 Unlearn Excuses, Feeling Nervous: 00:02:00 •#6 Unlearn Excuses, Inconsistency?: 00:03:00 •#7 Unlearn Excuses, WHY I need to LEARN??: 00:03:00 •#8 Unlearn Excuses, Background: 00:04:00 •Is this happened with you?: 00:05:00 •When was the Last Time You Invested Money for Self Development?: 00:05:00 •When was the last time you got an opportunity to talk in front of people?: 00:05:00 •#1 HOOKING, Pause and Pan Technique: 00:03:00 •#2 HOOKING, Smile Technique: 00:05:00 •#1 How to Start any Speech or Presentation? 'I Remember': 00:03:00 •#2 How to Start any Speech or Presentation? 'Appreciate': 00:02:00 •#3 How to Start any Speech or Presentation? 'You Focus': 00:01:00 •#4 How to Start any Speech or Presentation? 'Imagine': 00:02:00 •#5 How to Start any Speech or Presentation? 'Common': 00:02:00 •#6 How to Start any Speech or Presentation? 'Numbers': 00:02:00 •Body Language Introduction: 00:02:00 •Which Body part included for Body Language: 00:03:00 •#1 Body Language, 'EYES': 00:05:00 •#2 Body Language, 'LIPS': 00:02:00 •#3 Body Language, 'NECK': 00:03:00 •#4 Body Language, 'SHOULDERS': 00:02:00 •#5 Body Language, 'HANDS': 00:10:00 •#6 Body Language, 'LEGS': 00:06:00 •Body Language Brief Summary: 00:05:00 •Vocal Variety Technique Unlearn: 00:03:00 •Vocal Variety VST Technique, 'VOLUME': 00:02:00 •Vocal Variety VST Technique, 'SPEED': 00:05:00 •Vocal Variety VST Technique, 'TONE': 00:05:00 •Vocal Variety VST Technique, 'QUICK SUMMARY': 00:05:00 •End of Presentation: 00:06:00 •Closing Message: 00:02:00 •No Skill is Natural: 00:09:00 •Speak Up To the Ears: 00:01:00 •Do Not Use I Hope: 00:01:00 •When was the Last Time You Got Opportunity to Talk Infront of People?: 00:02:00 •When was the Last Time You Invested Money for Self Development?: 00:05:00 •Assignment - Public Speaking and Presentation Skill Course: 00:00:00

Our beloved world is going through the most difficult situation ever. We are facing the harsh side of

Course Overview: The importance of cleaning, decontamination and waste management in healthcare settings cannot be overstated. If you are interested in learning how to perform cleaning, decontamination and waste management tasks effectively and efficiently, or if you want to enhance your existing knowledge and skills in this area, this Cleaning, Decontamination and Waste Management course is designed for you. This course will provide you with a comprehensive overview of the principles and practices of cleaning, decontamination and waste management in care services, covering topics such as cleaning methods and equipment, decontamination and disinfection techniques, hygiene standards and procedures, environmental cleaning and sanitisation, sterilisation methods, waste management systems and policies, and health and safety responsibilities. By completing this course, you will gain solid knowledge and skills to prepare you for a successful career in cleaning, decontamination, waste management, or related fields. Enrol today and start your journey to becoming a qualified cleaner, decontamination technician, or waste management technician! Key Features of the Course: Obtain a prestigious CPD certificate upon successful completion. Enjoy the flexibility of 24/7 learning assistance, ensuring your questions are answered promptly. Access exciting and engaging learning materials that make the learning experience enjoyable and effective. Who is This Course For? This Cleaning, Decontamination and Waste Management course is ideally suited for professionals working in various sectors, including healthcare, hospitality, housekeeping, and anyone seeking to enhance their understanding of cleaning, decontamination, and waste management practices. It's also beneficial for those pursuing a career in fields requiring expertise in maintaining a hygienic and sanitised environment. What You Will Learn: In this course, you will gain valuable insights into: The essential principles and practices of cleaning in care services. Effective decontamination and disinfection techniques to ensure safety and infection control. Hygiene best practices in care services for promoting health and well-being. Environmental cleaning and sanitisation methods to create a safe living and working environment. Sterilisation techniques to maintain the highest levels of cleanliness. Understanding the significance of waste management and its impact on the environment. Health and safety responsibilities in maintaining a clean and hazard-free setting. Why Enrol in This Course: By enrolling in this Cleaning, Decontamination and Waste Management course, you will develop invaluable cleaning, decontamination, and waste management skills, making you highly sought-after in various industries. This top-reviewed course has been recently updated to meet industry standards and trends, ensuring you stay ahead of the evolving field. Requirements: There are no specific prerequisites for taking this course. All you need is a passion for maintaining clean and safe environments and a willingness to learn. Career Path: Upon completing this Cleaning, Decontamination and Waste Management course, you'll be equipped to pursue various course-related professions, such as: Healthcare Facility Cleaner - £18,000 per year. Housekeeping Supervisor - £22,000 per year. Waste Management Technician - £25,000 per year. Environmental Services Coordinator - £27,000 per year. Infection Control Assistant - £20,000 per year. Hospitality Hygiene Specialist - £24,000 per year. Facility Maintenance Manager - £30,000 per year. Certification: Upon completing the course, you will receive a CPD certificate, validating your expertise and dedication to maintaining cleanliness, decontamination, and effective waste management practices. So, don't miss this opportunity to excel in your career and contribute to a healthier and safer world. Enrol now and embark on this rewarding learning journey! Course Curriculum 7 sections • 7 lectures • 01:34:00 total length •Cleaning in Care Services: 00:14:00 •Decontamination and Disinfection: 00:15:00 •Hygiene in Care Services: 00:12:00 •Environmental Cleaning and Sanitisation: 00:15:00 •Sterilisation Techniques: 00:13:00 •Understanding Waste Management: 00:11:00 •Health & Safety Responsibilities: 00:14:00

Overview Information Technology forms the backbone of modern industries, driving innovation, optimising processes, and connecting the global community. Our comprehensive "Functional Skills IT" course serves as your gateway to this dynamic and highly rewarding field. The Functional Skills IT course is also for beginners and individuals looking to bolster their IT knowledge. This course thoroughly explores IT essentials, encompassing hardware, software, networking, and virtualisation. With expert guidance and engaging learning materials, you'll acquire the functional skills necessary to thrive in the IT industry.Recent statistics reveal that the global IT sector is experiencing unprecedented growth, with an annual expansion rate of 5.2%, resulting in a worldwide surge in IT job opportunities.Take advantage of this chance to future-proof your career in Information Technology. 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 Functional Skills - IT. It is available to all students, of all academic backgrounds. Requirements Our Functional Skills - IT 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 14 sections • 38 lectures • 01:59:00 total length •Unit 1: Introduction: 00:01:00 •Unit 2: Course Outline: 00:06:00 •Unit 1: Facts about Information Technology (IT): 00:05:00 •Unit 2: What is Information Technology & How IT Works: 00:02:00 •Unit 1: IT Components: 00:02:00 •Unit 1: What is Hardware: 00:02:00 •Unit 2: Examples of Computer: 00:02:00 •Unit 3: Computer Hardware Manufacturers: 00:04:00 •Unit 4: Hardware Jobs: 00:05:00 •Unit 1: What is Operating System: 00:02:00 •Unit 2: Examples of Operating System: 00:08:00 •Unit 3: Operating System Jobs: 00:10:00 •Unit 4: OS Tools Related Jobs: 00:02:00 •Unit 1: What is Application/Software: 00:03:00 •Unit 2: Software Building Tools and Languages: 00:03:00 •Unit 3: Software/Application Building Jobs: 00:03:00 •Unit 4: Software/Application User Jobs: 00:03:00 •Unit 1: What is Computer Networking: 00:02:00 •Unit 2: Computer Network Companies: 00:02:00 •Unit 3: Network Jobs: 00:04:00 •Unit 1: What is Computer Security: 00:02:00 •Unit 2: Security Companies: 00:01:00 •Unit 3: Security Jobs: 00:03:00 •Unit 1: How Information Flow within IT: 00:02:00 •Unit 2: Enterprise Level IT Components: 00:02:00 •Unit 1: What is Storage: 00:05:00 •Unit 2: Storage Companies and Technologies: 00:02:00 •Unit 3: Jobs in Storage: 00:02:00 •Unit 1: What is Database: 00:02:00 •Unit 2: Database Type and Technologies: 00:04:00 •Unit 3: Database Jobs: 00:02:00 •Unit 1: What is Virtualisation: 00:03:00 •Unit 2: What is Cloud Technology: 00:02:00 •Unit 3: Virtualisation and Cloud Companies: 00:02:00 •Unit 4: Virtualisation and Cloud Jobs: 00:02:00 •Unit 1: IT Management Jobs: 00:03:00 •Unit 2: Other IT Jobs: 00:09:00 •Assignment - Functional Skills - IT: 00:00:00

Overview Boost your career opportunities within the IT industry and learn new abilities with the latest technology and software. Today's businesses rely on IT systems to support them, so this course will quickly upgrade your skills and allow you to apply for the latest roles. The Essential IT Skills Level 3 course provides you with all the knowledge needed to master every primary IT process. You will be explicitly taught how to produce professional spreadsheets and presentations with the standard Microsoft software. All this will be accompanied by varied tips and recommendations on approaching IT assignments and how to make the best impressions at work. 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 Essential IT Skills Level 3. It is available to all students, of all academic backgrounds. Requirements Our Essential IT Skills Level 3 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 2 sections • 12 lectures • 04:00:00 total length •Module 01: Introduction: A Transforming Technology: 00:30:00 •Module 02: Importance of Information Technology: 00:10:00 •Module 03: Communication and Network: 00:30:00 •Module 04: Future Skills Required in Information Technology: 00:15:00 •Module 05: Technology as a Foundation Skill Area: 00:10:00 •Module 06: Word Processing Software: 00:30:00 •Module 07: Presentation Software: 00:30:00 •Module 08: Creating and Editing Spreadsheet (Part 1: The Basics of Spreadsheets): 00:15:00 •Module 09: Creating and Editing Spreadsheet (Part 2: Navigation and Edit): 00:25:00 •Module 10: Storing Database: 00:25:00 •Module 11: Information Technology Project Management: 00:20:00 •Assignment - Essential IT Skills Level 3: 00:00:00

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

Get in-depth knowledge of neurology through our exclusive Neurology online course. You will get the know-how of the

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

Overview Having a foundational understanding of IT components is essential. Did you know that by 2023, an estimated 2.5 million new IT positions will be available globally? The CompTIA A+ (220-1001) course offers a comprehensive dive into the world of computer technology.  Designed to shape the professionals of tomorrow, this course meticulously covers the gamut of fundamental IT knowledge. Ranging from RAM technology to the vast world of cloud computing, the curriculum is structured to foster a comprehensive understanding. With modules such as 'Inside the PC' and 'Understanding Virtualization', learners will be adept at navigating the complex terrains of the modern IT environment. Ready to steer your career into the future of IT? Enrol now and become a part of the technological revolution! 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 CompTIA A+ (220-1001). It is available to all students, of all academic backgrounds. Requirements Our CompTIA A+ (220-1001) is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 24 sections • 132 lectures • 17:30:00 total length •CompTIA A+ 2019 Core 1 (220-1001) Course Introduction: 00:02:00 •What is the CompTIA A+?: 00:02:00 •Why Get A+ Certified?: 00:03:00 •What is on the CompTIA A+ Core 1 (220-1001) Exam?: 00:09:00 •How to Pass the A+ Exam: 00:04:00 •How to Use This Video Course: 00:03:00 •Tools of the Trade: 00:06:00 •Troubleshooting Theory: 00:10:00 •Primary PC Connections: 00:05:00 •External Connections: 00:11:00 •Inside the PC: 00:08:00 •What is a Computer?: 00:07:00 •What is a CPU?: 00:15:00 •CPU Speeds and Cores: 00:12:00 •Caching: 00:07:00 •CPU Sockets: 00:12:00 •Installing a CPU: 00:11:00 •Liquid Cooling: 00:04:00 •RAM Technology: 00:11:00 •RAM Capacity: 00:08:00 •RAM Features: 00:07:00 •Installing RAM: 00:07:00 •What is the BIOS?: 00:06:00 •POST: 00:09:00 •System Setup: 00:09:00 •Troubleshooting Firmware: 00:12:00 •Form Factors: 00:06:00 •Chipsets: 00:05:00 •Touring the Motherboard: 00:14:00 •Touring the Case: 00:07:00 •Installing a Motherboard: 00:09:00 •The Power Supply: 00:09:00 •Mounting a Power Supply: 00:05:00 •Choosing a Power Supply: 00:08:00 •Cooling Your PC: 00:11:00 •Troubleshooting Power Supplies: 00:09:00 •Troubleshooting Core Components: 00:14:00 •Introduction to Mass Storage: 00:13:00 •Magnetic Disk Drives: 00:08:00 •Solid State Drives: 00:08:00 •SCSI: 00:03:00 •Boot Order: 00:07:00 •New Installation - First Drive: 00:05:00 •RAID: 00:11:00 •Hardware RAID: 00:07:00 •Mass Storage Troubleshooting: 00:08:00 •Optical Media: 00:10:00 •USB Standards: 00:10:00 •Understanding USB: 00:11:00 •Configuring USB: 00:07:00 •Thunder and Lightning: 00:06:00 •Keyboards and Mice: 00:08:00 •Sight and Sound: 00:07:00 •Readers and Scanners: 00:08:00 •Using Expansion Cards: 00:08:00 •The Right PC for the Job: 00:13:00 •Monitor Technologies: 00:08:00 •LCD Breakdown: 00:04:00 •Graphics Cards and Connections: 00:13:00 •Installing a Graphics Card: 00:07:00 •Projectors: 00:05:00 •Troubleshooting Monitors: 00:06:00 •Introduction to Networking: 00:08:00 •Hubs vs. Switches: 00:05:00 •Hexadecimal: 00:07:00 •WANs and Routers: 00:09:00 •Cables and Connectors: 00:11:00 •Crimping Cables: 00:10:00 •Structured Cabling: 00:11:00 •Introduction to TCP/IP: 00:14:00 •Network IDs and Subnet Masks: 00:05:00 •Special IP Addresses: 00:09:00 •NAT: 00:07:00 •Dynamic IP Addressing: 00:10:00 •IPv6: 00:07:00 •Port Numbers: 00:12:00 •TCP, UDP, and ICMP: 00:06:00 •Understanding DNS: 00:09:00 •Working with DNS: 00:07:00 •Windows Naming: 00:08:00 •Routers: 00:12:00 •Basic Router Configuration: 00:12:00 •Advanced Router Configuration: 00:06:00 •VLANs: 00:07:00 •Network Troubleshooting: 00:05:00 •Wireless Network Hardware: 00:11:00 •Wi-Fi Standards: 00:10:00 •Basic WAP Setup: 00:11:00 •Connecting to a Wi-Fi Network: 00:09:00 •It's a Huge Mesh: 00:04:00 •Beyond Wi-Fi: 00:07:00 •Troubleshooting Wireless Connections: 00:07:00 •Beyond the LAN: 00:03:00 •Internet Tiers: 00:06:00 •Dial-up Connections: 00:08:00 •Broadband Connections: 00:10:00 •Firewalls and Servers: 00:06:00 •FTP: 00:07:00 •E-Mail: 00:08:00 •Proxy Servers: 00:06:00 •Virtual Private Networks (VPNs): 00:08:00 •Internet of Things (IoT): 00:04:00 •Understanding Virtualization: 00:10:00 •Your First Virtual Machine: 00:11:00 •Advanced Virtualization Setup: 00:10:00 •Cloud Computing: 00:08:00 •Cloud Ownership: 00:03:00 •Cloud-Based Applications: 00:06:00 •Laptop Features: 00:08:00 •Laptop Hardware Troubleshooting - The Tools: 00:05:00 •Laptop Hardware - Core Hardware: 00:04:00 •Laptop Hardware - CPU and Motherboard: 00:07:00 •Touring Your Laptop Display: 00:04:00 •What is a Mobile Device?: 00:09:00 •Mobile Connections: 00:10:00 •Touring Android: 00:10:00 •Touring iOS: 00:08:00 •Virtual Reality: 00:03:00 •Maintaining Mobile Devices: 00:11:00 •Mobile Devices and E-mail: 00:10:00 •Mobile Synchronization: 00:08:00 •Laser Printers: 00:13:00 •Inkjet Printers: 00:08:00 •Impact Printers: 00:04:00 •Thermal Printers: 00:04:00 •Installing a Local Printer: 00:14:00 •Sharing Printers: 00:08:00 •Installing Wireless and Cloud Printers: 00:10:00 •Troubleshooting Printers: 00:10:00 •3D Printing: 00:07:00 •Dealing with Threats: 00:07:00 •Assignment - CompTIA A+ (220-1001): 00:00:00