- Professional Development
- Medicine & Nursing
- Arts & Crafts
- Health & Wellbeing
- Personal Development
Description: In the current day and age, you must stand out and intrigue recruitment managers, such that your enhanced skills inspires them to show curiosity in your personality. What better way to improve your skill set and put yourself in the shoes of an HR manager than with this CPD certified HR and Payroll Management course. This simple and easy course is divided into two sections each focusing on human resources management and payroll management respectively. First, you learn about human resources management as you explore its development in the modern day. Following that, you will read about subjects such as recruitment, interview, retention, health & safety, disciplining employees and terminating them. In the next section, payroll management is discussed by learning basic terminologies, accounting methods, understanding balance sheets, other financial statements and so much more. This is a great tool if used correctly as you can easily gain more knowledge about the recruitment process and utilize it to your advantage. So, take this course now for the double feature of improving your payroll management skills as well. Who is the course for? People who want to work in human resources People looking to be successful in interviews by learning how interviewers think Professionals wanting to improve their skills in Payroll management Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: HR and Payroll Management is a useful qualification to possess and would be beneficial for any professions or career from any industry you are in such as: Payroll Administer HR Manager Recruitment Consultant Office Manger Human Resource Management Module One - Getting Started 00:30:00 Module Two - Human Resources Today 01:00:00 Module Three - Recruiting and Interviewing 01:00:00 Module Four - Retention and Orientation 01:00:00 Module Five - Following Up With New Employees 01:00:00 Module Six - Workplace Health & Safety 01:00:00 Module Seven - Workplace Bullying, Harassment, and Violence 01:00:00 Module Eight - Workplace Wellness 01:00:00 Module Nine - Providing Feedback to Employees 01:00:00 Module Ten - Disciplining Employees 01:00:00 Module Eleven - Terminating Employees 01:00:00 Module Twelve - Wrapping Up 00:30:00 Activities - Advanced Diploma in Human Resource Management 00:00:00 Bookkeeping & Payroll Basics Module One - Introduction 00:30:00 Module Two - Basic Terminology 01:00:00 Module Three - Basic Terminology (II) 01:00:00 Module Four - Accounting Methods 01:00:00 Module Five - Keeping Track of Your Business 01:00:00 Module Six - Understanding the Balance Sheet 01:00:00 Module Seven - Other Financial Statements 01:00:00 Module Eight - Payroll Accounting Terminology 01:00:00 Module Nine - End of Period Procedures 01:00:00 Module Ten - Financial Planning, Budgeting and Control 01:00:00 Module Eleven - Auditing 01:00:00 Module Twelve - Wrapping Up 00:30:00 Managing Payroll What Is Payroll? 00:30:00 Principles Of Payroll Systems 01:00:00 Confidentiality And Security Of Information 00:30:00 Effective Payroll Processing 01:00:00 Increasing Payroll Efficiency 01:00:00 Risk Management in Payroll 00:30:00 Time Management 00:30:00 Personnel Filing 00:30:00 When Workers Leave Employment 01:00:00 Hiring Employees 00:30:00 Paye and Payroll for Employers 01:00:00 Tell HMRC about a New Employee 01:00:00 Net And Gross Pay 00:30:00 Statutory Sick Pay 00:30:00 Minimum Wage for Different types of Work 01:00:00 Recommended Reading Recommended Reading: HR and Payroll Management 00:00:00 Refer A Friend Refer A Friend 00:00:00 Mock Exam Mock Exam- HR and Payroll Management 00:30:00 Final Exam Final Exam- HR and Payroll Management 00:30:00
Description: If you are engaging and hiring employees, you need to know how to manage them safely. Through this course, you will learn about employee management, recruitment and recognition. Learning the effective ways and strategies of employee management, recruitment and recognition will help in the harmony of the business that will lead to the success of your human resources and business. In this course you will learn the necessary skills, knowledge and information about employee management, recruitment and recognition . Who is the course for? Human resource managers or training specialists who want to become an expert in managing contractors and temporary employees People who have an interest in learning about employee recognition and training. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Advanced Diploma in Recruitment Management course is a useful qualification to possess, and would be beneficial for the following careers: Businessmen Entrepreneur Human Resource Manager Training Specialist Supervisor Recruitment Introduction to Recruitment 00:15:00 Recruitment 01:00:00 Shortlisting 00:15:00 Selection 01:00:00 Definitions of Training and Development 00:15:00 Considerations in the Design of Training Programmes 00:15:00 Implementing Training 00:15:00 Learning Methods 00:30:00 Employee Management Module One - Getting Started 00:30:00 Module Two - Purpose of Onboarding 01:00:00 Module Three - Introduction 01:00:00 Module Four - Millennials and Onboarding 01:00:00 Module Five - Onboarding Checklist 01:00:00 Module Six - Engaging the Millennial Employee 01:00:00 Module Seven - Following Up With the Millennial Employee 01:00:00 Module Eight - Setting Expectations with the Millennial Employee 01:00:00 Module Nine - Mentoring the Millennial 01:00:00 Module Ten - Assigning Work to the Millennial Employe 01:00:00 Module Eleven - Providing Feedback 01:00:00 Module Twelve - Wrapping Up 00:30:00 Employee Management Course: Millennial Onboarding- Activities 00:00:00 Employee Recruitment Module One - Getting Started 00:30:00 Module Two - Defining and Knowing the Position 01:00:00 Module Three - Hiring Strategy 01:00:00 Module Four - Lure in Great Candidates 01:30:00 Module Five - Filtering Applicants to Interview 01:00:00 Module Six - The Interview (I) 01:00:00 Module Seven - The Interview (II) 01:00:00 Module Eight - Selection Process (I) 01:00:00 Module Nine - Selection Process (II) 01:00:00 Module Ten - Making an Offer 01:00:00 Module Eleven - Onboarding 01:00:00 Module Twelve - Wrapping Up 00:30:00 Diploma in Recruitment Management- Activities 00:00:00 Employee Recognition Module One - Getting Started 00:30:00 Module Two - The Many Types of Incentive 01:00:00 Module Three - Designing Employee Recognition Programs 01:00:00 Module Four - How To Get The Buzz Out 01:00:00 Module Five - It Starts From The Top! 01:00:00 Module Six - Creating a Culture of Recognition 01:00:00 Module Seven - The Best Things In Life Are Free! 01:00:00 Module Eight - A Small Gesture Goes A Long Way 01:00:00 Module Nine - Pulling Out The Red Carpets 01:00:00 Module Ten - The Don'ts of Employee Recognition 01:00:00 Module Eleven - Maintaining Employee Recognition Programs 01:00:00 Module Twelve - Wrapping Up 00:30:00 Employee Recognition Training Course- Activities 00:00:00 Mock Exam Mock Exam- Advanced Diploma in Recruitment Management 00:30:00 Final Exam Final Exam- Advanced Diploma in Recruitment Management 00:30:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00
Description: Leadership is one of the important factors that separates outstanding organisations from the chasing pack. It is the spark that differentiates expert managers from their associates; the factor that motivates teams to give their best. Strong leadership is widely recognised as the single most important factor in determining whether a certain organisation will survive and grow out of the recession or not. Our diploma in leadership for workplace aims to enhance your practical leadership skills, awareness, impact and judgement. After completing this course you will become a more confident and inspirational leader, capable of handling the challenges that could occur within an organisation. Who is the course for? Individuals experiencing their first position of authority. Individuals hoping to show to others they have the fundamental leadership knowledge. Leaders hoping to enhance their performance. Anybody hoping to understand and learn the essential skills of leadership. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: General Manager Area Manager Department Manager Regional Manager. Leadership Basics Introduction 00:30:00 Understanding the Dark Sides of Leadership & workplace 00:15:00 How to Lead and Influence People 00:45:00 Getting the Most from Your Team 01:00:00 10 Ways to Be a Better Leader 00:45:00 Conclusion 00:15:00 Leadership The Leadership Gene of HR Management 01:00:00 Becoming a Great Leader 01:00:00 Emotional Intelligence in Leadership Management 01:00:00 Build Successful Teams & Relationships 01:00:00 Handle Hard Times & Conflicts Effectively 01:00:00 Managing People Introduction 00:30:00 The Opposite Side of the Coin 01:00:00 How to Lead and Influence People 01:00:00 Getting the Most from Your Team 01:00:00 Extraordinary Ways to Be a Better Leader 00:30:00 Conclusion 00:15:00 Management Management 00:30:00 Definition of Management 00:30:00 Characteristics of Management 00:30:00 Management Functions/Process of Management 00:30:00 Nature of Management 00:30:00 Levels of Management 00:30:00 Characteristics of Professional Managers 00:30:00 Principles of Management 00:30:00 Leadership and People Management Module One - Getting Started 00:30:00 Module Two - The Evolution of Leadership 01:00:00 Module Three - Situational Leadership 01:00:00 Module Four - A Personal Inventory 01:00:00 Module Five - Modeling the Way 01:00:00 Module Six - Inspiring a Shared Vision 01:00:00 Module Seven - Challenging the Process 01:00:00 Module Eight - Enabling Others to Act 01:00:00 Module Nine - Encouraging the Heart 01:00:00 Module Ten - Basic Influencing Skills 01:00:00 Module Eleven - Setting Goals 01:00:00 Module Twelve - Wrapping Up 00:30:00 Women & Leadership Module One - Getting Started 01:00:00 Module Two - Women and the Workforce 01:00:00 Module Three - The Leadership Gap 01:00:00 Module Four - Barriers to Women's Leadership 01:00:00 Module Five - Traits of Women's Management 01:00:00 Module Six - Benefits of Women's Leadership 01:00:00 Module Seven - Nurture Women's Leadership 01:00:00 Module Eight - Actively Recruit Women 01:00:00 Module Nine - Encourage Networking Opportunities 01:00:00 Module Ten - Pair Women with Mentors 01:00:00 Module Eleven - Create Educational Opportunities 01:00:00 Module Twelve - Wrapping Up 01:00:00 Mock Exam Mock Exam- Diploma in Leadership for Workplace 00:20:00 Final Exam Final Exam- Diploma in Leadership for Workplace 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00
Description: The 70-646 - Windows Server 2008 Administration course will prepare you for Exam 70-646: Pro: Windows Server 2008, Server Administrator. Throughout the course, you will learn everything that you need to know about passing the exam. The course starts with the installation system of Windows 2008. After that, the course will teach you how to configure the change plan and how to prepare the server for 2008 migration. The course will teach you the ways of monitoring Windows server, the Windows Server Security, Server backup and restore, Maintenance Plan and Windows Server Troubleshooting. In short, the course will teach about the planning for server deployment and management, application and data provisioning, business continuity and high availability, and monitoring and maintain servers. 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? 70-646 - Windows Server 2008 Administration 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 70-646 - Windows Server 2008 Administration 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. Preparing for Windows 2008 Installation Overview of Windows Server 2008 Deployment FREE 00:15:00 Making a Deployment Plan for Windows 2008 Server 00:08:00 Planning Migration 00:08:00 Configuration Change Plan Developing a Change Control Process 00:17:00 Developing Configuration Changes 00:13:00 Reviewing Configuration Changes 00:07:00 Preparing for Server 2008 Migration Server Migration 00:16:00 How to Plan for the Server Decommissioning Process 00:14:00 Planning an Example of Commissioning a Windows Server 2008 File Server 00:32:00 Server Migration and Planning for Roles Planning for Windows Server 2008 Hardware 00:15:00 Planning for Windows Server 2008 Core 00:19:00 Combining Windows Server 2008 Server Roles 00:19:00 Planning for Windows Server 2008 File Servers 00:15:00 Understanding Application Server Role Requirements 00:11:00 Overview of the Application Server Role Components 00:06:00 Supporting the .NET Framework 00:07:00 Distributed File System What's Required for DFS 00:08:00 Planning for High Availability in DFS 00:13:00 Managing DFS 00:20:00 Windows Server 2008 High Availability Network Load Balancing 00:13:00 Understanding Failover Clustering in Windows Server 2008 00:11:00 Creating Clusters in Windows Server 2008 00:05:00 Monitoring Windows Server Setting Up Monitoring 00:18:00 Measuring Performance Objects 00:04:00 Calculating a Server Baseline 00:12:00 Which Monitoring Tools to Use 00:07:00 Planning Notification Methods 00:25:00 Windows Server Security Designing a Multi-Layer Defense 00:22:00 Network-Based Security for Windows Server 2008 00:42:00 Host-Based Security for Windows Server 2008 00:20:00 Windows Server Backup and Restore Backup Strategies with Windows Server 2008 00:48:00 Planning a Server Restore Policy 00:16:00 Verifying Restored Data 00:16:00 Planning an EFS Restore Policy 00:07:00 Windows Server Maintenance Plan Planning for Security Update Management 00:22:00 Basic Windows Server 2008 Management Tasks 00:20:00 Automating Windows Server 2008 Maintenance 00:08:00 Planning for Business Continuity Planning for Business Continuity 00:20:00 Reviewing Core Operating System Components 00:07:00 Reviewing Log Files 00:04:00 Evaluating Security Issues 00:10:00 Windows Server Troubleshooting Discovering Hardware Support Issues 00:12:00 Handling Device Driver Failures 00:07:00 Handling Hardware Component Failures 00:05:00 Determining the Scale of Network Issues 00:13:00 Name Resolution in Windows Server 2008 00:12:00 Fixing IP Connectivity Issues 00:09:00 Mock Exam Mock Exam- 70-646 - Windows Server 2008 Administration 00:20:00 Final Exam Final Exam- 70-646 - Windows Server 2008 Administration 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00
Data Science & Machine Learning with Python
By IOMH - Institute of Mental Health
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
This Diploma in Computer Science and Programming is designed to prepare you for a career as a computer programmer/programmer analyst. The course emphasises programming skills, program design techniques as well as database and systems analysis skills. You will learn the process of program design to solve real-world problems and the fundamental building blocks of a computer program. By the end of this course, you will be able to develop computer programs in a high-level computer programming language (such as Python). Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £99. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment In order to ensure the Quality Licensing scheme endorsed and CPD acknowledged certificate, learners need to score at least 60% pass marks on the assessment process. After submitting assignments, our expert tutors will evaluate the assignments and give feedback based on the performance. After passing the assessment, one can apply for a certificate. Who is this course for? Diploma in Computer Science and Programming is suitable for anyone who wants to gain extensive knowledge, potential experience and expert skills in the related field. This is a great opportunity for all students from any academic backgrounds to learn more on this subject.
