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Overview of Data Science & Machine Learning with Python Join our Data Science & Machine Learning with Python course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Science & Machine Learning with Python course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Data Science & Machine Learning with Python course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Data Science & Machine Learning with Python Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Science & Machine Learning with Python. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Data Science & Machine Learning with Python course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Data Science & Machine Learning with Python is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Data Science & Machine Learning with Python Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:04:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:06:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Data Science & Machine Learning with Python 00:00:00

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Overview This comprehensive course on Enterprise Resource Planning will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Enterprise Resource Planning 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 Enterprise Resource Planning. It is available to all students, of all academic backgrounds. Requirements Our Enterprise Resource Planning 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 6 sections • 42 lectures • 01:55:00 total length •Operations of an Economic Entity: Enterprise Resource Planning: 00:03:00 •The Hierarchical Perspective: 00:02:00 •Enterprise Resource Planning ERP: 00:01:00 •Technology's Role in Business: 00:03:00 •Types of Information Systems: 00:03:00 •Interrelations between Systems: 00:01:00 •Functional IT Systems: 00:01:00 •Enterprise Resource Planning: External Priorities: 00:02:00 •Why ERP?: 00:02:00 •Overall Implementation Requisites for ERP: 00:02:00 •Challenges of ERP Implementation in Business: 00:02:00 •Senior and Project Management: 00:03:00 •Critical Factors for Successful ERP Implementation: 00:07:00 •Implementation Steps: 00:03:00 •ERP: Integration and Supply Chain Support: 00:02:00 •Web Services Integration Options: 00:02:00 •Market Information and Sales Orders: 00:02:00 •Benefits of the Marketing Information System: 00:02:00 •Customer Relationship Management: 00:02:00 •Customer Relationship Management Functions: 00:02:00 •ERP: HR Planning and Utilization: 00:03:00 •What is an HRIS?: 00:05:00 •ERP: Electronic Commerce - Accounting System Interface: 00:04:00 •E-Commerce Supply Chain Management Solutions: 00:04:00 •Problems in ERP and E-Commerce Integration: 00:01:00 •Operational Indicator, KPI's and Metrics: 00:03:00 •What is Metrics?: 00:01:00 •Need for Metrics in Testing and Quality Analysis: 00:01:00 •Metrics Continued: 00:04:00 •What are Quality Metrics?: 00:03:00 •Tips of Selection of Quality Metrics: 00:02:00 •Lead, Spot & Lagged Indicators - Drive, Monitor & Report Indicators: 00:05:00 •Lean Manufacturing and Agility: 00:05:00 •Quantitative vs. Qualitative Indicators and Measurement Scope: 00:02:00 •Measurement and Presentation Tools: 00:02:00 •Mechanisms of Success: 00:03:00 •Monitoring, Evaluation and Reporting: 00:05:00 •Balanced Scorecard Perspectives: 00:04:00 •Strategy Mapping: 00:03:00 •Balanced Scorecards vs. Dashboards: 00:04:00 •Metrics Measurements: IT Systems in ERP: 00:04:00 •Assignment -Operations Management: Enterprise Resource Planning: 00:00:00

Overview This comprehensive course on Digital Marketing will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Digital Marketing comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Digital Marketing. It is available to all students, of all academic backgrounds. Requirements Our Digital Marketing is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 6 sections • 37 lectures • 03:35:00 total length •Unit 1: What You Will Learn in This Course: 00:02:00 •Unit 2: What Is the Potential of Selling Online: 00:12:00 •Unit 3: What Are the Most Popular Activities When on Internet: 00:03:00 •Unit 1: The Internet Marketing Process for Sales Maximisation: 00:08:00 •Unit 2: How to Apply the Internet Marketing Process: 00:07:00 •Unit 3: How to Apply the List Building Process: 00:04:00 •Unit 4: How Much Money Should We Invest on Digital Marketing: 00:04:00 •Unit 1: Introduction to the Internet Marketing Principles: 00:01:00 •Unit 2: Internet Marketing Principle No:1: 00:14:00 •Unit 3: Examples of Internet Marketing Principle No.1: 00:07:00 •Unit 4: How to Apply The 1st Internet Marketing Principle: 00:06:00 •Unit 5: Internet Marketing Principle No.2: 00:04:00 •Unit 6: Internet Marketing Principle No.3: 00:09:00 •Unit 7: Internet Marketing Principle No.4: 00:12:00 •Unit 8: Internet Marketing Principle No. 5: 00:05:00 •Unit 9: Internet Marketing Principle No. 6: 00:09:00 •Unit 10: Internet Marketing Principle No.7: 00:05:00 •Unit 11: Internet Marketing Principle No.8: 00:12:00 •Unit 1: Introduction to The Creation of an Internet Marketing Strategy: 00:01:00 •Unit 2: Step 1- Creating an Internet Marketing Strategy: 00:03:00 •Unit 3: Step 2 - Creating an Internet Marketing Strategy: 00:04:00 •Unit 4: Step 3 - Creating an Internet Marketing Strategy: 00:03:00 •Unit 5: Step 4 - Creating an Internet Marketing Strategy: 00:07:00 •Unit 6: Step 4b - Examples of Successful Opt-In Pages: 00:07:00 •Unit 7: Step 5 - Creating an Internet Marketing Strategy: 00:05:00 •Unit 8: Step 5b - Examples of Successful Opt-In Pages: 00:03:00 •Unit 9: Step 6 - Creating an Internet Marketing Strategy: 00:02:00 •Unit 10: Step 7 - Creating an Internet Marketing Strategy: 00:05:00 •Unit 11: Step 8 - Creating an Internet Marketing Strategy: 00:04:00 •Unit 12: Step 9 - Creating an Internet Marketing Strategy: 00:04:00 •Unit 13: Step 10 - Creating an Internet Marketing Strategy: 00:03:00 •Unit 14: Step 11 - Creating an Internet Marketing Strategy: 00:05:00 •Unit 1: How to Structure Your Website: 00:13:00 •Unit 2: How to Turn Your Sales Pages into Money Making Machines: 00:08:00 •Unit 3: Additional Tips for E-Shops: 00:09:00 •Unit 4: How to Do a Website Audit: 00:05:00 •Assignment - Digital Marketing: 00:00:00

Overview This comprehensive course on Process Mapping : Toolkit will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Process Mapping : Toolkit 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 Process Mapping : Toolkit. It is available to all students, of all academic backgrounds. Requirements Our Process Mapping : Toolkit 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 5 sections • 21 lectures • 01:12:00 total length •Introduction: 00:01:00 •What is the purpose of this course?: 00:02:00 •What is Lean Six Sigma?: 00:03:00 •DMAIC: 00:04:00 •What are the benefits of LSS & the toolkit?: 00:02:00 •Scenario to be used to explore the tools: 00:02:00 •Introduction to process mapping: 00:03:00 •Swim Lane: 00:04:00 •Swim Lane: Demonstration: 00:07:00 •Value Stream Map: 00:05:00 •Value Stream Map: Demonstration: 00:07:00 •SIPOC: 00:03:00 •SIPOC: Demonstration: 00:04:00 •Time Value Map: 00:03:00 •Time Value Map: Demonstration: 00:03:00 •Value Add Chart: 00:04:00 •Value Add Chart: Demonstration@@: 00:02:00 •Spaghetti Diagram: 00:04:00 •Spaghetti Diagram: Demonstration: 00:05:00 •Close out: 00:04:00 •Assignment - Process Mapping: Toolkit: 00:00:00

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PowerPoint Designed Blue Print: Game Changing PowerPoint Presentation Skills Instructor-Led PowerPoint Presentation Skills Course Powerpoint Presentation Skills is considered a classic and easy-to-use presentation tool. Professionals use PowerPoint on all levels to communicate important information through a simple slide presentation. In fact, a study states that over 500 million users use PowerPoint, and 30 million PowerPoint presentations are created daily around the world. Do you want to take your PowerPoint Presentation Skills to the next level and create visually stunning and engaging presentations? Look no further! Our PowerPoint Presentation Skills course is here to help you do just that. We are offering this high-quality, learner-focused Online PowerPoint Presentation Skills: Slide Creation course to increase your skills and confidence. In this PowerPoint Presentation Skills course, you will learn how to effectively use all of the features and tools within PowerPoint to create professional-grade presentations. We will cover everything from design principles and layout techniques to animating slides and incorporating multimedia. You will learn how to create custom templates, work with shapes and images, and use advanced formatting options. We will also delve into more advanced topics such as creating charts and diagrams, using action buttons and triggers, and integrating PowerPoint with other Microsoft Office tools. Throughout the PowerPoint Presentation Skills course, you can practice what you've learned through hands-on exercises and projects. By the end of the course, you will have the skills and confidence to create dynamic and effective presentations that will impress your audience and help you stand out in the professional world. Moreover, you can achieve a certificate for free to showcase your achievement in professional life after the successful completion of the Online PowerPoint Presentation Skills Training course. Key Features: Accredited by CPD Premium quality learning content Instant e-certificate Fully online, interactive PowerPoint Presentation Skills Course Self-paced learning and laptop, tablet, and smartphone-friendly 24/7 Learning Assistance Enrol now and join our community of like-minded individuals who are passionate about improving their PowerPoint Presentation skills. With our comprehensive lessons and helpful resources, you'll be creating professional-grade presentations in no time! Free Gifts Life Coaching Course Our Game-Changing PowerPoint Presentation Skills course materials are developed by industry experts, and all related content is updated regularly to ensure learners stay caught up on recent developments in the related field. This course is designed in a well-paced manner to assist learners in quick learning. Whether you're a student, business person, teacher, or other job holder, this Game-changingPowerPoint Presentation Skills course can help you to learn PowerPoint slide creation and effectively communicate your message and engage your audience through it. Keeping this in mind, we've tried to cover the following in this Effective Presentation Skills course: Mapping out message Introduction Preparing opening slides Preparing core content slides Preparing closing slides Adding verity to the visual intro Using illustrations to slides Moreover, we're offering Life Coaching Course as a gift with our PowerPoint Presentation Skills: Slide Creation course, which we believe will help to improve your self-confidence and discover your best self. Course Curriculum of PowerPoint Presentation Skills Training Unit 01 - Introduction and Welcome Unit 02 - Map Out Your Message Unit 03 - Add Variety to Your Visuals Unit 04 - Additional Material Accreditation All of our courses are fully accredited, including this Microsoft PowerPoint Presentation Skills course, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certification Once you've successfully completed your PowerPoint Presentation Skills course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is ideal for all employees or anyone who genuinely wishes to learn more about Microsoft PowerPoint Presentation Skills: Slide Creation basics. Requirements There are no specific prerequisites to enrol in this course. Anyone from any academic background can take this course. Access to any smart device that is internet enabled. Growth mindset Learning enthusiastic Career path Presentation Skills Specialist CEO Business Planning Presenter Public Speaker Motivational Speaker Youtube Presenter Social Media Influencer Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the hard copy certificates for Free! The delivery charge of the hard copy certificate inside the UK is £3.99 each.

Greenhouse growing becomes very popular all over the world. At present, it is cultivating commercially. Anyone can start this greenhouse growing commercially or as part of hobbies. Before doing that, it would be better if they have some basic knowledge about this field However, for mitigating the quest of greenhouse grower, we designed the Greenhouse Growing Course course. The ultimate course assists them to learn further regarding all effective issues of the field. The course instructs the learner some crucial tips regarding greenhouse growing such as how to select a place, prepare seed beds, seed seasonal starting seeds, ensure light sources, control temperature, water into the plants, make ventilation, and many more things. Besides, the course instructs you to different composts, fertilizer, and ingredients of greenhouse growing for getting the utmost profit. Who is this course for? Greenhouse Growing Course is suitable for anyone who wants to gain extensive knowledge, potential experience, and professional skills in the related field. This course is CPD accredited so you don't have to worry about the quality. Requirements Our Greenhouse Growing Course is open to all from all academic backgrounds and there is no specific requirements to attend this course. It is compatible and accessible from any device including Windows, Mac, Android, iOS, Tablets etc. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Greenhouse Growing Course Introduction 00:30:00 A Peek into a Greenhouse: a Primer What is a greenhouse? 00:30:00 Types of Greenhouses 01:00:00 Tools and Materials for Your Greenhouse 01:00:00 Tips for Your Greenhouse 01:00:00 Greenhouse Resources / References for Hobbyists 00:30:00 Your Wonderland 01:00:00 Growing Chillies & Peppers 00:30:00 Growing Tomatoes 01:00:00 Conclusion 00:30:00 Recommended Reading Recommended Reading: Greenhouse Growing Course 00:00:00 Mock Exam Mock Exam- Greenhouse Growing Course 00:20:00 Final Exam Final Exam- Greenhouse Growing Course 00:20:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Math is one of the most essential skills in all aspects of our lives. However, it can be one of the most difficult for many of us to master. Learning math can be a daunting task when you do not have the right tools or the right materials, especially if you grew up believing that math is hard and that you will never understand it. The Mathematics for Beginners is designed to teach the elementary skills necessary to manipulate algebraic expressions and equations, and also places a strong emphasis on conceptual understanding. You will learn the connection between everyday life problems and the abstract world of mathematics. Using applied examples from a wide variety of topics ranging from finance to physics and life sciences, you will gain the ability to transform problems from a verbal description into the language of mathematics and solve them confidently by applying the rules of algebra. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Mathematics for Beginners is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Mathematics for Beginners is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Course Curriculum Integers ( Directed Numbers) Lecture 1 Introduction 00:02:00 Lecture 2 Multiplying any digit number by 11, 22, and 33 00:09:00 Lecture 3 Integers and ordering of integers 00:06:00 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 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 Fraction 00:04:00 Lecture 18 Comparing Fractions after converting to like fractions 00:09:00 Lecture 19 Reducing a fraction to lowest term 00:04:00 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 00:05:00 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 00:06:00 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 00:07:00 Lecture 51To divide a given quantity into a given Ratio 00:11:00 Lecture 52 Proportion 00:04:00 Lecture 53 Practice problems on Proportion 00:06:00 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 Resources Resources - Mathematics for Beginners 00:00:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00