ð Unlock Your Potential with the Medical Receptionist Course! ð Are you ready to embark on a rewarding career in the healthcare industry? Look no further! Our comprehensive Medical Receptionist Course equips you with the essential skills and knowledge needed to thrive in this dynamic field. Whether you're a seasoned professional looking to enhance your expertise or a newcomer eager to break into the healthcare sector, this course is your gateway to success. Why Choose the Medical Receptionist Course? ð©âï¸ In-Demand Skills: Medical receptionists play a crucial role in healthcare facilities, serving as the first point of contact for patients and visitors. By enrolling in our course, you'll learn how to effectively manage front desk operations, handle patient inquiries, schedule appointments, and maintain organized medical records. ð¼ Career Advancement: With healthcare facilities continually seeking skilled professionals to manage their administrative tasks, completing our Medical Receptionist Course opens up a world of opportunities. Whether you aspire to work in hospitals, clinics, or specialized medical practices, this course provides you with the credentials and confidence to excel in your career. ð Comprehensive Curriculum: Our course covers a wide range of topics, including medical terminology, appointment scheduling software, patient confidentiality laws, and customer service best practices. Taught by industry experts, you'll gain practical insights and real-world experience that are invaluable in the healthcare field. ð¡ Flexible Learning Options: We understand that balancing work, family, and education can be challenging. That's why our Medical Receptionist Course offers flexible learning options, allowing you to study at your own pace and from the comfort of your own home. Whether you prefer to learn through interactive modules, video lectures, or written assignments, we've got you covered. ð Industry-Recognized Certification: Upon successful completion of the course, you'll receive a prestigious certificate that demonstrates your proficiency as a medical receptionist. This credential not only enhances your credibility but also increases your chances of landing your dream job in the healthcare industry. Who is this for? Our Medical Receptionist Course is perfect for individuals who are passionate about healthcare and possess strong interpersonal and organizational skills. Whether you're a recent high school graduate exploring career options or a professional seeking a career change, this course provides you with the necessary foundation to thrive in the medical field. Career Path Upon completing the Medical Receptionist Course, you'll be well-equipped to pursue various career paths within the healthcare industry. Some potential roles include: ð¥ Medical Receptionist: Work in hospitals, clinics, or medical offices, where you'll greet patients, schedule appointments, and manage administrative tasks. ð¼ Medical Administrative Assistant: Assist healthcare professionals with administrative duties, such as billing, coding, and insurance processing. ð©âð¼ Patient Services Representative: Serve as a liaison between patients and healthcare providers, ensuring their needs are met and concerns addressed. ð Medical Records Technician: Maintain accurate and confidential medical records, ensuring compliance with regulatory standards and privacy laws. With the demand for skilled medical receptionists on the rise, now is the perfect time to invest in your future and embark on a rewarding career in healthcare. Enroll in our Medical Receptionist Course today and take the first step towards a brighter tomorrow! FAQs Q: Is previous experience required to enroll in the Medical Receptionist course? A: No prior experience is necessary to enroll in the course. Our program is designed to cater to individuals at all skill levels, from beginners to experienced professionals. Q: How long does it take to complete the course? A: The duration of the course may vary depending on the learning format and individual pace. Typically, students can complete the program within a few months with full-time study or opt for part-time options to fit their schedule. Q: Will I receive a certification upon completion of the course? A: Yes, upon successfully completing the Medical Receptionist course, you will receive a certification that demonstrates your proficiency in medical office procedures, patient management, and healthcare administration. Q: Can I pursue further education after completing the Medical Receptionist course? A: Absolutely! Our course provides a solid foundation for those interested in advancing their career in healthcare administration. Many students choose to pursue additional certifications or degrees to enhance their skills and qualifications. Course Curriculum Module 1 Understanding the Role of a Medical Receptionist Understanding the Role of a Medical Receptionist 00:00 Module 2 Medical Terminology and Anatomy Medical Terminology and Anatomy 00:00 Module 3 Patient Data Management and Confidentiality Patient Data Management and Confidentiality 00:00 Module 4 Customer Service and Patient Care Customer Service and Patient Care 00:00 Module 5 Interpersonal Skills and Communication Interpersonal Skills and Communication 00:00
The Perfect your Mathematics Fundamentals is intended to introduce you to the basics of the number system and provide in-depth knowledge of all the methods that performed on them. This course primarily incorporates Integers, Fractions, Decimals, Factors & Multiples (HCF, LCM), BOD-MAS rules of brackets, Rational numbers, figures and required decimal places. You will also learn how to write big or small numbers in scientific notation or standard style and work with numbers when they are in standard form, and Estimation, Percentage and Ratio-Proportion, Unitary method, Direct and Inverse proportion, Multiple ratios, Profit, Loss, Discount and Tax also included in this course. Moreover, the basic facts, concepts, terms, principles and application of different Math concept combined with every topic. To sum up, this course covers almost all essential Mathematics topics required for GMAT, GRE, and Math Olympiad. What Will I Learn? You will become perfect in addition, subtraction, multiplication, division, and comparison of Integers, fractions, and decimals. Able to apply BOD-MAS rules on simplification problems without making mistakes. Finding H.C.F, LCM and prime factorization will become faster and accurate by applying different methods By applying divisibility tests , you will be easily reduced fraction to lowest terms. Solve real life word problems based on fractions, H.C.F and LCM with full understanding. Locate Rational numbers on number line and write in decimal form using shortcut methods Solve problems easily by applying Estimation and writing numbers in Scientific Notation Will be able to write rounded off answers accurately to 1/2/3 d.p. or to given significant digits Percentage will become very easy for you and you will be able to solve all problems related to percentage easily. Able to solve problems on Ratio and proportion topic Able to solve difficult problems of direct and inverse variations You will be able to solve all kind of word problems on Profit, Loss, Discount, and Tax. Requirements knowledge of Maths up to 5th grade Who is the target audience? GMAT, GRE and MBA entrance exams students looking for revision of Math fundamentals Current IGCSE students because course is designed to cover many Math topics of this board. Middle school and junior school students of all boards High school students who are having trouble keeping up Studying for competitive exams and wants to revise basics Wants to brush up basics of Mathematics Parents looking for extra support with the fundamentals of Maths Integers ( Directed Numbers) Lecture 1 Introduction FREE 00:00:00 Lecture 2 Quick glance at number system FREE 00:05:00 Lecture 3 Integers and ordering of integers 00:06:00 Lecture 4 Addition and Subtractions of Integers 00:07:00 Lecture 5 Operations on Integers 00:04:00 Lecture 6 Multiplication and Division of Integers 00:04:00 Lecture 7 Powers of Integers (Exponents) 00:04:00 Factors and Multiples Lecture 8 Complete knowledge about factors and multiples 00:06:00 Lecture 9 Divisibility tests for 2,3,4,5,6 00:07:00 Lecture 10 Divisibility rules 7,8,9,10,11 00:06:00 Lecture 11 Prime Factorization 00:06:00 Lecture 12 Highest Common Factor HCF 00:10:00 Lecture 13 Least Common Multiple LCM FREE 00:16:00 Lecture 14 Relation between LCM and HCF 00:04:00 Fractions Lecture 15 Classification of Fractions 00:04:00 Lecture 16 Convert mixed to improper and improper to mixed fractions 00:03:00 Lecture 17 Equivalent Fractions 00:04:00 Lecture 18 Comparing Fractions after converting to like fractions 00:09:00 Lecture 19 Reducing a fraction to lowest term 00:03:00 Lecture 20 Addition and subtraction OF fractions 00:08:00 Lecture 21 Multiplication and division of fractions 00:11:00 Lecture 22 Word problems on fractions 00:16:00 Simplification Rule : BODMAS Lecture 23 BODMAS and rules to remove brackets 00:03:00 Lecture 24 Simplify expressions using BODMAS rules 00:05:00 Lecture 25 Simplify expressions involving fractions using BODMAS 00:07:00 Decimal numbers Lecture 26 Decimal numbers in relation to fractions 00:08:00 Lecture 27 Like and unlike Decimals 00:05:00 Lecture 28 Ordering of Decimal numbers 00:10:00 Lecture 29 Addition and subtraction of Decimal 00:07:00 Lecture 30 Multiplication of Decimal 00:03:00 Lecture 31 Division of Decimal 00:00:00 Rational Numbers Lecture 32 Rational number 00:02:00 Lecture 33 Representation of Rational Numbers on Number line 00:04:00 Lecture 34 Determining which fraction is terminating or non terminating 00:05:00 Lecture 35 shortcut method of writing decimal expansion of fraction to decimal 00:08:00 Approximation Lecture 36 Rounding to whole number 00:06:00 Lecture 37 Rounding to required number of decimals (1 d.p. ) 00:05:00 Lecture 38 rounding to significant digits 00:07:00 Lecture 39 Practice question on three methods of approximation 00:05:00 Estimation and Scientific Notation or Standard form Lecture 40 Estimation 00:05:00 Lecture 41 Scientific Notation 00:07:00 Lecture 42 Operation on numbers when they are in scientific notation 00:06:00 Percentage Lecture 43 Percentage to fraction and fraction to percentage 00:06:00 Lecture 44 Percentage of a quantity and conversation to decimal 00:05:00 Lecture 45 Expressing one quantity as percentage of another quantity 00:06:00 Lecture 46 Finding increase decrease percent 00:05:00 Lecture 47 Uses of percentages-Word Problems 00:09:00 Ratio and Proportion Lecture 48 Ratio- How to express as simple ratio 00:09:00 Lecture 49 How to compare Ratios 00:04:00 Lecture 50 Word problems on finding ratios FREE 00:07:00 Lecture 51 To divide a given quantity into a given Ratio 00:11:00 Lecture 52 Proportion 00:04:00 Lecture 53 Practice problems on Proportion 00:00:00 Lecture 54 Continued proportion 00:06:00 Unitary Method and its Applications Lecture 55 Direct Variation ( or proportion) 00:04:00 Lecture 56 Problems based on Direct proportion 00:10:00 Lecture 57 Inverse Variation ( or proportion) 00:10:00 Lecture 58 Multiple Ratios 00:10:00 Profit , Loss, discount and Tax Lecture 59 Basics - Profit and Loss 00:04:00 Lecture 60 More practice problems on Profit & Loss 00:06:00 Lecture 61 Selling price formula and Problems 00:04:00 Lecture 62 Cost price formula and Problems 00:03:00 Lecture 63 Higher problems on Profit and Loss 00:08:00 Lecture 64 Basics - Discount 00:05:00 Lecture 65 Practice problems on Discount 00:04:00 Lecture 66 Tax 00:06:00
The Advanced Guide to Workplace Management Workplace management is the key to making yourself more efficient and increasing your productivity through organizing the things surrounding you in your working space. If you are interested in improving your workplace then sign up for this Advanced Diploma in Workplace Management. Increased efficiency in managing workplace means that you become more productive when doing daily operations, following schedules, making communications, and collaborating with colleagues and the management. Moreover, efficient workplace management is a great way to save a significant amount of money and time. Obviously every person who wants to achieve excellence in daily planning and management should learn to manage the workplace and keep everything organized. Whether it's the management of a single desk or the management of complex real estate portfolios spread-out around the globe, workplace management encompasses all the processes to make your workplaces work. This course will greatly improve your workplace environment and help you and your co workers increase their productivity, Without further delay, consider enrolling into this course. Course Highlights Advanced Diploma in Workplace Management is an award winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Advanced Diploma in Workplace Management into 65 modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 2 days and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Advanced Diploma in Workplace Management Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Advanced Diploma in Workplace Management is CPD certified and IAO accredited. 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 backgrounds. Requirements Our Advanced Diploma in Workplace Management 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 You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Managing Health and Wellness in Workplace Module One - Getting Started FREE 00:30:00 Module Two - Definition of a Health and Wellness Program FREE 00:30:00 Module Three - Types of Health and Wellness Programs 00:30:00 Module Four - Health Behavior Programs 01:00:00 Module Five - Health Screenings and Maintenance Programs 00:30:00 Module Six - Mental Health Programs 01:00:00 Module Seven - Evaluate the Need 01:00:00 Module Eight - Planning Process 01:00:00 Module Nine - Implementation 01:00:00 Module Ten - Create a Culture of Wellness 01:00:00 Module Eleven - Evaluate Results 00:30:00 Module Twelve - Wrapping Up 00:30:00 Level 2 Certificate In Health and Wellness at Workplace- Activities 00:00:00 Team Networking Module One - Getting Started 01:00:00 Module Two - The Benefits of Networking at Work 00:15:00 Module Three - Networking Obstacles 00:30:00 Module Four - Networking Principles 01:00:00 Module Five - How to Build Networks 00:30:00 Module Six - Recognize Networking Opportunities 00:30:00 Module Seven - Common Networking Mistakes 01:00:00 Module Eight - Develop Interpersonal Relationships 01:00:00 Module Nine - Online Networking Tools 01:00:00 Module Ten - Time Management 00:30:00 Module Eleven - Maintaining Relationships Over Time 00:30:00 Module Twelve - Wrapping Up 01:00:00 Accredited Diploma in Workplace Team Networking- Activities 00:00:00 Managing Civility Module One - Getting Started FREE 00:30:00 Module Two - Introduction FREE 01:00:00 Module Three - Effective Work Etiquette 01:00:00 Module Four - Costs and Rewards 01:00:00 Module Five - Conflict Resolution 00:30:00 Module Six - Getting to the Cause 01:00:00 Module Seven - Communication 01:00:00 Module Eight - Negotiation 00:30:00 Module Nine - Identifying Your Need 01:00:00 Module Ten - Writing a Civility Policy 01:00:00 Module Eleven - Implementing the Policy 01:00:00 Module Twelve - Wrapping Up 00:30:00 Activities 00:00:00 Managing Harassment Module One - Getting Started FREE 01:00:00 Module Two - The Background FREE 01:00:00 Module Three - Developing an Anti-Harassment Policy 01:00:00 Module Four - Policies in the Workplace 01:00:00 Module Five - Proper Procedures in the Workplace 01:00:00 Module Six - False Allegations 01:00:00 Module Seven - Other Options 00:30:00 Module Eight - Sexual Harassment 01:00:00 Module Nine - Mediation 01:00:00 Module Ten - Conflict Resolution 00:30:00 Module Eleven - The Aftermath 00:30:00 Module Twelve - Wrapping Up 01:00:00 Activities 00:00:00 Managing Violence Module One - Getting Started 00:30:00 Module Two - What Is Workplace Harassment 01:00:00 Module Three - Identifying the Bully 00:30:00 Module Four - How to Handle Workplace Violence 01:00:00 Module Five - Risk Assessment (I) 00:30:00 Module Six - Risk Assessment (II) 00:30:00 Module Seven - Being the Victim 02:00:00 Module Eight - Checklist for Employers 00:30:00 Module Nine - Interview Process 01:00:00 Module Ten - Investigation Process 00:30:00 Module Eleven - Developing a Workplace Harassment Policy 02:00:00 Module Twelve - Wrapping Up 00:30:00 Activities 00:00:00
Overview With the ever-increasing demand for Virtual Assistant 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 Virtual Assistant may be. Learning about Virtual Assistant 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 Virtual Assistant. 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 Virtual Assistant 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 Virtual Assistant Training 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 Virtual Assistant Training 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 Virtual Assistant Training 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 Virtual Assistant, Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Virtual Assistant, Anyone looking for a certificate of completion on doing an online training on this topic, Students of Virtual Assistant, or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity Career Path This Virtual Assistant Training 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 1 - Introduction to Virtual Assistant Introduction to Virtual Assistant 00:00 Module 2 - Different Types of Virtual Assistants Different Types of Virtual Assistants 00:00 Module 3 - Be a Virtual Assistant Be a Virtual Assistant 00:00 Module 4 - Must-Have Skills for Virtual Assistants Must-Have Skills for Virtual Assistants 00:00 Module 5 - Essential Tools for a Virtual Assistant Essential Tools for a Virtual Assistant 00:00 Module 6 - Finding Your Niche Finding Your Niche 00:00 Module 7 - How to Set VA Business How to Set VA Business 00:00 Module 8 - How to Manage Clients How to Manage Clients 00:00
Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights. Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00
Duration 5 Days 30 CPD hours This course is intended for This course is for professionals who need knowledge about implementing various Service Provider core technologies and advanced routing technologies. Network administrators System engineers Project managers Network designers Overview After taking this course, you should be able to: Describe the main characteristics of routing protocols that are used in Service provider environments Implement advanced features of multiarea Open Shortest Path First (OSPFv2) running in Service Provider networks Implement advanced features of multilevel Intermediate System to Intermediate System (ISIS) running in Service Provider networks Configure route redistribution Configure Border Gateway Protocol (BGP) in order to successfully connect the Service Provider network to the customer or upstream Service Provider Configure BGP scalability in Service Provider networks Implement BGP security options Implement advanced features in order to improve convergence in BGP networks Troubleshoot OSPF, ISIS, and BGP Implement and verify MPLS Implement and troubleshoot MPLS traffic engineering Implement and verify segment routing technology within an interior gateway protocol Describe how traffic engineering is used in segment routing networks Implement IPv6 tunneling mechanisms Describe and compare core multicast concepts Implement and verifying the PIM-SM protocol Implement enhanced Protocol-Independent Multicast - Sparse Mode (PIM-SM) features Implement Multicast Source Discovery Protocol (MSDP) in the interdomain environment Implement mechanisms for dynamic Rendezvous Point (RP) distribution The Implementing Cisco Service Provider Advanced Routing Solutions (SPRI) 5-day course teaches you theories and practices to integrate advanced routing technologies including routing protocols, multicast routing, policy language, Multiprotocol Label Switching (MPLS), and segment routing, expanding your knowledge and skills in service provider core networks. This course prepares you for the 300-510 Implementing Cisco© Service Provider Advanced Routing Solutions (SPRI) exam. The course qualifies for 40 Cisco Continuing Education credits (CE) towards recertification. This course will help you: Gain the high-demand skills to maintain and operate advanced technologies related to Service Provider core networks Increase your knowledge and skills for implementing Service Provider core advanced technologies though hands-on application and practical instruction Prepare to take the 300-510 SPRI exam Course Outline Implementing and Verifying Open Shortest Path First Multiarea Networks Implementing and Verifying Intermediate System to Intermediate System Multilevel Networks Introducing Routing Protocol Tools, Route Maps, and Routing Policy Language Implementing Route Redistribution Influencing Border Gateway Protocol Route Selection Scaling BGP in Service Provider Networks Securing BGP in Service Provider Networks Improving BGP Convergence and Implementing Advanced Operations Troubleshooting Routing Protocols Implementing and Verifying MPLS Implementing Cisco MPLS Traffic Engineering Implementing Segment Routing Describing Segment Routing Traffic Engineering (SR TE) Deploying IPv6 Tunneling Mechanisms Implementing IP Multicast Concepts and Technologies Implementing PIM-SM Protocol Implementing PIM-SM Enhancements Implementing Interdomain IP Multicast Implementing Distributed Rendezvous Point Solution in Multicast Network
Duration 2 Days 12 CPD hours This course is intended for This course is intended for software testers, architects, engineers, or other related roles, who wish to apply AI to software testing practices within their enterprise. While there are no specific pre-requisites for this course, it would be helpful is the attendee has familiarity with basic scripting (Python preferred) and be comfortable with working from the command line (for courses that add the optional hands-on labs). Attendees without basic scripting skills can follow along with the hands-on labs or demos. Overview This course introduces AI and related technologies from a practical applied software testing perspective. Through engaging lecture and demonstrations presented by our expert facilitator, students will explore: Exploring AI Introduction to Machine Learning Introduction to Deep Learning Introduction to Data Science Artificial Intelligence (AI) in Software Testing Implementing AI in Test Automation Innovative AI Test Automation Tools for the Future Implementing AI in Software Testing / AI in Test Automation is an introductory-level course for attendees new to AI, Machine Learning or Deep Learning who wish to automate software testing tasks leveraging AI. The course explores the essentials of AI, ML and DL and how the integrate into IT business operations and initiatives. Then the course moves to specifics about the skills, techniques and tools used to apply AI to common software testing requirements. Exploring AI AI-Initiatives The Priority: Excellence AI- Intelligence Types The Machine Learning Types The Quality Learning Initiative The Inception in Academics AI - Importance & Applications The Re-visit Learning Re-visited via AI Teaching in the world of AI Exploring AI for Self-Development AI In Academics Beyond Academics Introduction to Machine Learning What is Machine Learning? Why Machine Learning? Examples - Algorithms behind Machine Learning Introduction to Deep Learning What is Deep Learning? Why Deep Learning? Example - Deep Learning Vs Machine Learning Introduction to Data Science What is Data Science? Why Data Science? Examples - Use Cases of Data Science Artificial Intelligence (AI) in Software Testing What is AI in Software Testing? The Role of AI Testing Why do we Need AI in Software Testing? Pros and Cons of AI in Software Testing Applications of AI in Software Testing Is it time for Testers or QA Teams to worry about AI? Automated Testing with Artificial Intelligence Implementing AI in Test Automation Training the AI Bots Challenges with AI-powered Applications Examples - Real World use cases using Artificial Intelligence Demo - Facial Emotion Detection Using Artificial Intelligence Demo - Text Analysis API Using Artificial Intelligence Demo - EYE SPY Mobile App Using Artificial Intelligence Innovative AI Test Automation Tools for the Future Tools used for Implementing AI in Automation Testing What is NEXT? AI Test Automation Demo using Testim
Duration 2 Days 12 CPD hours This course is intended for This course is intended for network engineers, network support personnel, and reseller support. Overview After successfully completing this course, you should be able to:Configure LAN-to-LAN IP Security (IPsec) VPNs in various configurations. Configure VPN redundancy. Configure dynamic routing using IPsec VPNs. Configure remote access IPsec connectivity including group Internet Key Exchange (IKE) and shared IKE. Configure generic routing encapsulation (GRE) tunnels. This intermediate-level course focuses on the wide range of options available when configuring virtual private networks (VPNs) using Juniper Networks firewall/VPN products. Students attending the course will learn these various deployments through detailed lectures and hands-on lab exercises. Chapter 1: Course IntroductionChapter 2: ScreenOS VPN Basics Review VPN Review Verifying Operations VPN Monitor Lab: VPN Review Chapter 3: VPN Variations Dynamic Peers Transparent Mode Overlapping Addresses Lab: VPN Variations Chapter 4: Hub-and-Spoke VPNs Concepts Policy-Based Hub-and-Spoke VPNs Route-Based Hub-and-Spoke VPNs with No Policy and NHTB Route-Based Hub-and_Spoke VPNS with Policy Centralized Control Hub-and-Spoke VPNs ACVPNs Lab: Hub-and-Spoke VPNs Chapter 5: Routing over VPNs Routing Overview Configuring RIP Configuring OSPF Case Studies Lab: Dynamic Routing Chapter 6: Using Certificates Concepts and Terminology Configuring Certificates and Certificate Support Configuring VPNs with Certificates Lab: Using Certificates Chapter 7: Redundant VPN Gateways (Optional) Redundant VPN Gateways Other Options Demonstration: Redundant VPN Gateways Chapter 8: Generic Routing Encapsulation (Optional) Configuring GRE Chapter 9: Dial-Up IPsec VPNs (Optional) Basic Dial-Up Configuration Group IKE ID XAUTH and Shared IKE ID Additional course details: Nexus Humans Advanced Juniper Networks VPN Implementations training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Advanced Juniper Networks VPN Implementations course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.
Duration 4 Days 24 CPD hours This course is intended for Security-operations (SecOps), or security, orchestration, automation, and response (SOAR) engineers, managed security service providers (MSSPs), service delivery partners, system integrators, and professional services engineers Overview This training is designed to enable a SOC, CERT, CSIRT, or SOAR engineer to start working with Cortex XSOAR integrations, playbooks, incident-page layouts, and other system features to facilitate resource orchestration, process automation, case management, and analyst workflow. The course includes coverage of a complete playbook-development process for automating a typical analyst workflow to address phishing incidents. This end-to-end view of the development process provides a framework for more focused discussions of individual topics that are covered in the course. The Cortex? XSOAR 6.8: Automation and Orchestration (EDU-380) course is four days of instructor-led training that will help you: Configure integrations, create tasks, and develop playbooks Build incident layouts that enable analysts to triage and investigate incidents efficiently Identify how to categorize event information and map that information to display fields Develop automations, manage content, indicator data, and artifact stores, schedule jobs, organize users and user roles, oversee case management, and foster collaboration This class is powered by Cloud Harmonics. Course Outline Module 1 - Core Functionality and Feature Sets Module 2 - Enabling and Configuring Integrations Module 3 - Playbook Development Module 4 - Classification and Mapping Module 5 - Layout Builder Module 6 - Solution Architecture Module 7 - Docker Module 8 - Automation Development and Debugging Module 9 - The Marketplace and Content Management Module 10 - Indicators and Threat Intelligence Management Module 11 - Jobs and Job Scheduling Module 12 - Users and Role-Based Access Controls (RBAC) Module 13 - Integration Development Additional course details: Nexus Humans Palo Alto Networks: Cortex XSOAR 6.8: Automation and Orchestration(EDU-380) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Palo Alto Networks: Cortex XSOAR 6.8: Automation and Orchestration(EDU-380) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.
Duration 4 Days 24 CPD hours This course is intended for Systems Administrators and EngineersTechnical Solutions ArchitectsSystems IntegratorsChannel PartnersValue-Added Resellers Overview Understand the B-Series and C-Series product line similarities and differencesDescribe the C-Series standalone and UCS managed architectures Understand the process for upgrading B-Series and C-Series FirmwareAdministering service profiles, pools, and policiesUnderstanding RBAC with Active Directory integrationAdministering backup and restores in UCS ManagerLearn and discuss the various management tools for Cisco UCSPerform basic troubleshooting of B-Series and C-Series in normal operations Using real-world scenarios and examples, this course will explore all of the components of the UCS B-Series and C-Series solutions from a day to day administrative point of view. UCS Infrastructure Components Cisco UCS Servers and Components Exploring Cisco UCS User Interfaces Cisco UCS Management Framework and Features Administering Cisco C-Series Servers Describing Cisco UCS C-Series Servers Cisco UCS C-Series Integrated Management Controller Provisioning Monitoring and Logging on the Cisco UCS C-Series Server Provisioning Cisco UCS C-Series Server Integration in UCS Manager Updating Cisco UCS C-Series Firmware with the Host Upgrade Utility Troubleshooting C-Series Standalone and UCS Managed Environments Administering Cisco B-Series Servers RBAC, Organizations, and Active Directory Integration Configuring Compute Node LAN Connectivity Configuring Compute Node SAN Connectivity Creating Identity and Resource Pools Creating Service Profiles Creating Templates and Cloning Service Profiles Managing Service Profiles Operating System Installation Options Backing Up and Restoring UCSM Database Upgrading UCS B-Series Firmware Troubleshooting Cisco UCS B-Series Configuration Troubleshooting Cisco UCS B-Series Operation UCS Management Tools UCS Management Tool Overview Integrating UCS Manager with UCS Central Managing UCS Using the Cisco UCS PowerTool Additional course details: Nexus Humans Cisco Administering Cisco Data Center Unified Computing System (DCUCA) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Administering Cisco Data Center Unified Computing System (DCUCA) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.