104 Natural Language Processing (NLP) courses

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Certification After studying the complete training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and 1 hardcopy certificate for the Title Course completely free. Other Hard Copy certificates need to be ordered at an additional cost of •8. CPD 400 CPD hours / points Accredited by CPD Quality Standards WHO IS THIS COURSE FOR? Ambitious learners who want to strengthen their CV for their desired job should take advantage of the IT Support Technical Skills Bootcamp bundle! This bundle is also ideal for professionals looking for career advancement. REQUIREMENTS To participate in this course, all you need is - * A smart device * A secure internet connection * And a keen interest in IT Support Technical Skills Bootcamp CAREER PATH Upon completing this essential Bundle, you will discover a new world of endless possibilities. These courses will help you to get a cut above the rest and allow you to be more efficient in the relevant fields.

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Certification After studying the complete training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and 1 hardcopy certificate for the Title Course completely free. Other Hard Copy certificates need to be ordered at an additional cost of •8. CPD 330 CPD hours / points Accredited by CPD Quality Standards WHO IS THIS COURSE FOR? Ambitious learners who want to strengthen their CV for their desired job should take advantage of the IT and Data Protection (GDPR) Practitioner bundle! 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CERTIFICATES QUALITY LICENCE SCHEME ENDORSED CERTIFICATE OF ACHIEVEMENT Hard copy certificate - Included Upon successful completion of the course, you will be eligible to order QLS Endorsed Hardcopy Certificate titled ' Data Protection (GDPR) Practitioner at QLS Level 3 ' Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses.

OVERVIEW With the advancement of AI technologies NLP or Natural Language Processing has become a highly valuable skill in the IT industry. Learn the fundamentals of NLP and get a step closer to building your dream career in the AI industry with our Online NLP Practitioner Training course. The course will help you develop a solid foundation in NLP. The course will provide you with detailed lessons on the pillars and principles of NLP. You will be able to learn about the communication and coaching models of NLP. In addition, you will get the chance to learn advanced techniques used in the communication and application process. At the end of the course, you will receive a certificate of achievement. This certificate will demonstrate your expertise in this area and increase your career potential. Join now! COURSE PREVIEW LEARNING OUTCOMES * Learn about the key principles of NLP * Familairse yourself with NLP communication model * Understand the different stages of NLP coaching model * Grasp effective strategies for NLP communication * Build your expertise in NLP application  WHY TAKE THIS COURSE FROM JOHN ACADEMY? * Affordable, well-structured and high-quality e-learning study materials * Meticulously crafted engaging and informative tutorial videos and materials * Efficient exam systems for the assessment and instant result * Earn UK & internationally recognised accredited qualification * Easily access the course content on mobile, tablet, or desktop from anywhere, anytime * Excellent career advancement opportunities * Get 24/7 student support via email WHAT SKILLS WILL YOU LEARN FROM THIS COURSE? * NLP communication * NLP application WHO SHOULD TAKE THIS ONLINE NLP PRACTITIONER TRAINING? Whether you're an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge. ARE THERE ANY ENTRY REQUIREMENTS? This Online NLP Practitioner Training is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful. CERTIFICATE OF ACHIEVEMENT After completing this course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates & Transcripts can be obtained either in Hardcopy at £14.99 or in PDF format at £11.99. CAREER PATH€‹ This exclusive Online NLP Practitioner Training will equip you with effective skills and abilities and help you explore career paths such as  * NLP Engineer * Data Scientist * NLP Product Manager * Consultant Module 1: Introduction to NLP Introduction to NLP 00:17:00 Module 2: NLP Communication Model NLP Communication Model 00:20:00 Module 3: NLP Coaching Model NLP Coaching Model 00:26:00 Module 4: NLP Presuppositions and Beliefs NLP Presuppositions and Beliefs 00:21:00 Module 5: NLP Techniques for Personal Change NLP Techniques for Personal Change 00:26:00 Module 6: NLP Strategies for Effective Communication NLP Strategies for Effective Communication 00:28:00 Module 7: Advanced NLP Techniques Advanced NLP Techniques 00:21:00 Module 8: NLP Applications NLP Applications 00:17:00 Module 9: NLP Practitioner Certification NLP Practitioner Certification 00:15:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

LEARNING OUTCOMES After completing this course, learners will be able to: * Learn Python for data analysis using NumPy and Pandas * Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas * Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks * Understand Python for data science and machine learning  * Get acquainted with Recommender Systems with Python * Enhance your understanding of Python for Natural Language Processing (NLP) DESCRIPTION Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. CERTIFICATE OF ACHIEVEMENT After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  METHOD OF ASSESSMENT After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. CAREER PATH After completing this course, you can explore various career options such as * Web Developer * Software Engineer * Data Scientist * Machine Learning Engineer * Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions. COURSE CONTENT 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 Machine Learning using Python : A Bootcamp 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 FREQUENTLY ASKED QUESTIONS Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

In this course, you will learn how to build a lifelike voice assistant or sales chatbot using Eleven Labs and ChatGPT AI technology. You will discover how to create a fully functional web application with advanced features such as voice-to-text conversion, AI-powered chat responses, and more, all in a language of your choice.

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Experienced tutors and mentors will be there for you whenever you need them, and solve all your queries through email and chat boxes. Benefits you'll get choosing Apex Learning for this Course: * One payment, but lifetime access to 11 CPD courses * Certificates, student ID for the title course included in a one-time fee * Full tutor support available from Monday to Friday * Free up your time - don't waste time and money travelling for classes * Accessible, informative modules taught by expert instructors * Learn at your ease - anytime, from anywhere * Study the course from your computer, tablet or mobile device * CPD accredited course - improve the chance of gaining professional skills * Gain valuable knowledge without leaving your home What other courses are included with this Course? 1. Level 2 Microsoft Office Essentials 2. Microsoft Teams 3. Leadership & Management Diploma 4. Working from Home Essentials 5. Mental Health and Working from Home 6. Online Meeting Management 7. Effective Communication Skills 8. Time Management 9. Report Writing 10. Emotional Intelligence and Human Behaviour Curriculum ***Data Science Course Bundle 2022*** Welcome, Course Introduction & overview, and Environment set-up * Welcome & Course Overview * Set-up the Environment for the Course (lecture 1) * Set-up the Environment for the Course (lecture 2) * Two other options to setup environment Python Essentials * Python data types Part 1 * Python Data Types Part 2 * Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) * Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) * Python Essentials Exercises Overview * Python Essentials Exercises Solutions Python for Data Analysis using NumPy * What is Numpy? A brief introduction and installation instructions. * NumPy arrays, built-in methods, array methods and attributes. * Indexing, slicing, broadcasting & boolean masking * Arithmetic Operations & Universal Functions * Exercises Overview * Exercises Solutions Python for Data Analysis using Pandas * What is pandas? A brief introduction and installation instructions. * Pandas Introduction * Pandas Data Structures - Series * Pandas Data Structures - DataFrame * Handling Missing Data * Data Wrangling - Combining, merging, joining * Groupby * Useful Methods and Operations * Project 1 (Overview) Customer Purchases Data * Project 1 (Solutions) Customer Purchases Data * Project 2 (Overview) Chicago Payroll Data * Project 2 (Solutions Part 1) Chicago Payroll Data Python for Data Visualization using matplotlib * Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach * Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach * Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach * Matplotlib Essentials - Exercises Overview * Matplotlib Essentials - Exercises Solutions Python for Data Visualization using Seaborn * Introduction & Installation * Distribution Plots * Categorical Plots (Part 1) * Categorical Plots (Part 2) * Axis Grids * Matrix Plots * Regression Plots * Controlling Figure Aesthetics * Exercises Overview * Exercise Solutions Python for Data Visualization using pandas * Pandas Built-in Data Visualization * Pandas Data Visualization Exercises Overview * Panda Data Visualization Exercises Solutions Python for interactive & geographical plotting using Plotly and Cufflinks * Interactive & Geographical Plotting (Part 1) * Interactive & Geographical Plotting (Part 2) * Interactive & Geographical Plotting Exercises (Overview) * Interactive & Geographical Plotting Exercises (Solutions) Capstone Project - Python for Data Analysis & Visualization * Project 1 - Oil vs Banks Stock Price during recession (Overview) * Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) * Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) * Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) * Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) Python for Machine Learning (ML) - scikit-learn - Linear Regression Model * Introduction to ML - What, Why and Types….. * Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff * Linear Regression Model - Hands-on (Part 1) * Linear Regression Model Hands-on (Part 2) * Good to know! How to save and load your trained Machine Learning Model! * Linear Regression Model (Insurance Data Project Overview) * Linear Regression Model (Insurance Data Project Solutions) Python for Machine Learning - scikit-learn - Logistic Regression Model * Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificity…etc. * Logistic Regression Model - Hands-on (Part 1) * Logistic Regression Model - Hands-on (Part 2) * Logistic Regression Model - Hands-on (Part 3) * Logistic Regression Model - Hands-on (Project Overview) * Logistic Regression Model - Hands-on (Project Solutions) Python for Machine Learning - scikit-learn - K Nearest Neighbors * Theory: K Nearest Neighbors, Curse of dimensionality …. * K Nearest Neighbors - Hands-on * K Nearest Neighbors (Project Overview) * K Nearest Neighbors (Project Solutions) Python for Machine Learning - scikit-learn - Decision Tree and Random Forests * Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging…. * Decision Tree and Random Forests - Hands-on (Part 1) * Decision Tree and Random Forests (Project Overview) * Decision Tree and Random Forests (Project Solutions) Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) * Support Vector Machines (SVMs) - (Theory Lecture) * Support Vector Machines - Hands-on (SVMs) * Support Vector Machines (Project 1 Overview) * Support Vector Machines (Project 1 Solutions) * Support Vector Machines (Optional Project 2 - Overview) Python for Machine Learning - scikit-learn - K Means Clustering * Theory: K Means Clustering, Elbow method ….. * K Means Clustering - Hands-on * K Means Clustering (Project Overview) * K Means Clustering (Project Solutions) Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) * Theory: Principal Component Analysis (PCA) * Principal Component Analysis (PCA) - Hands-on * Principal Component Analysis (PCA) - (Project Overview) * Principal Component Analysis (PCA) - (Project Solutions) Recommender Systems with Python - (Additional Topic) * Theory: Recommender Systems their Types and Importance * Python for Recommender Systems - Hands-on (Part 1) * Python for Recommender Systems - - Hands-on (Part 2) Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) * Natural Language Processing (NLP) - (Theory Lecture) * NLP-Challenges, Data Sources, Data Processing ….. * Feature Engineering and Text Preprocessing in Natural Language Processing * NLP - Tokenization, Text Normalization, Vectorization, BoW…. * BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes … * Pipeline feature to assemble several steps for cross-validation… How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. * PDF Certificate: Free (Previously it was £10 * 11 = £110) * Hard Copy Certificate: Free (For The Title Course) If you want to get hardcopy certificates for other courses, generally you have to pay £20 for each. But this Fall, Apex Learning is offering a Flat 50% discount on hard copy certificates, and you can get each for just £10! P.S. The delivery charge inside the U.K. is £3.99 and the international students have to pay £9.99. CPD 20 CPD hours / points Accredited by CPD Quality Standards WHO IS THIS COURSE FOR? There is no experience or previous qualifications required for enrolment on this Data Science Course Bundle 2022. It is available to all students, of all academic backgrounds. REQUIREMENTS Our Data Science Course Bundle 2022 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 this CPD certificate 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. CERTIFICATES CERTIFICATE OF COMPLETION Digital certificate - Included

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