2814 Administrator courses delivered Online

Sure, here's a more succinct and focused description: --- Are you passionate about fostering a culture of attendance and student success? Join our comprehensive course, "Working Together to Improve School Attendance," designed for educators, administrators, and community stakeholders. Explore key topics including the importance of attendance, factors affecting student participation, effective policies and systems, engaging families and communities, building positive school culture, supporting student engagement, and implementing interventions. Gain practical strategies and collaborative approaches to make a lasting impact on student attendance and well-being. Enroll now to empower your school community and create a supportive environment where every student thrives.

The Professional Certificate Course in Organization and Management of Public Health covers key aspects of public health, including its organization and the role of government in its provision. The course also explores the various services offered in public health, including those provided by the U.S. Centers for Disease Control and Prevention and the Federal Public Health Service department. Additionally, the course delves into public health infrastructure in Europe and the importance of public health research agencies. The Professional Certificate Course in Organization and Management of Public Health covers the organization and various services of public health, including the role of government and the U.S. Centers for Disease Control and Prevention. After the successful completion of the course, you will be able to learn about the following, The organisation of Public Health Who offers services in public health? Federal Public Health Service department Health care reforms Various services in public health The U.S. Centres for Disease Control and Prevention (CDC) Role of Government in Public Health Public Health research agency Public health infrastructure in Europe Various public health departments The Professional Certificate Course in Organization and Management of Public Health covers key aspects of public health, including its organization and the role of government in its provision. The course also explores the various services offered in public health, including those provided by the U.S. Centers for Disease Control and Prevention and the Federal Public Health Service department. Additionally, the course delves into public health infrastructure in Europe and the importance of public health research agencies. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Organization and Management of Public Health Self-paced pre-recorded learning content on this topic. Organization and Management of Public Health Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. Public Health Professionals Healthcare Administrators Aspiring Public Health Managers Individuals Seeking Professional Development Opportunities Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Our Professional Certificate Course in Project Procurement Risk Management offers in-depth knowledge and skills to effectively manage procurement risks in projects. The course covers the concept of procurement risk and its various types, including e-procurement risks and their causes and types. Participants will also gain practical knowledge on risk probability framework, risk scoring, and risk impact ranges, along with an understanding of the procurement risk cycle. By the end of the course, participants will be equipped with the necessary expertise to identify, assess, and mitigate procurement risks to ensure project success. Project procurement involves risks that can affect project success. Our Professional Certificate Course in Project Procurement Risk Management provides practical skills to identify, assess, and mitigate these risks.After the successful completion of the course, you will be able to learn about the following, The concept of procurement risk and its various types. The meaning of e-procurement risks, its causes and types. Risk probability framework, risk scoring, and risk impact ranges. You will also learn about the procurement risk cycle. Our Professional Certificate Course in Project Procurement Risk Management offers in-depth knowledge and skills to effectively manage procurement risks in projects. The course covers the concept of procurement risk and its various types, including e-procurement risks and their causes and types. Participants will also gain practical knowledge on risk probability framework, risk scoring, and risk impact ranges, along with an understanding of the procurement risk cycle. By the end of the course, participants will be equipped with the necessary expertise to identify, assess, and mitigate procurement risks to ensure project success. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Project Procurement Risk Management Self-paced pre-recorded learning content on this topic. Project Procurement Risk Management Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience, Project Managers Procurement Managers Risk Management Professionals Contract Administrators Supply Chain Managers Purchasing Managers Operations Managers Quality Assurance Managers Business Owners Anyone Involved in Project Procurement Processes. Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

This course aims to provide learners with an in-depth understanding of Information Systems and their various components. The course covers the evolution, types, and components of Information Systems, including databases, database management systems, computer networking, and network architecture. It also explores key concepts and types of database management systems and database languages, information systems software, and the distinction between information systems and information technology. Additionally, the course covers enterprise resource planning (ERP), process mapping, implementation management, cloud computing, and artificial intelligence in Management Information Systems (MIS).After the successful completion of the course, you will be able to learn about the following, Information System, its evolution, types and components. Database and Database Management System. Key Concepts and Types of Database Management Systems and Database Languages. Computer Networking and Its Key Components and Types. What is Network Architecture? Information Systems Software. Information Systems V/s Information Technology. ERP, process mapping, Implementation Management and its components. Cloud Computing in Management Information Systems. Artificial Intelligence and Information Systems. This course provides learners with a comprehensive overview of Information Systems and their components. It begins by introducing the concept of Information Systems, their evolution, types, and components. It then covers databases and database management systems, including the types of database management systems, database languages, and the role of databases in managing information. This course provides learners with a comprehensive overview of Information Systems and their components. It begins by introducing the concept of Information Systems, its evolution, types, and components. It then covers databases and database management systems, including the types of database management systems, database languages, and the role of databases in managing information. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Identifying Information Systems and Information Technology Self-paced pre-recorded learning content on this topic. Identifying Information Systems and Information Technology Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. IT & Operations &Project Managers Business & Data Analysts Database Administrators & Network Engineers Systems Analysts & Software Developers Enterprise Architects, CIOs and CTOs Information Security Managers & IT Consultants Management Consultants & Business Owners Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

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 Professional Certificate Course in Introduction to Intercultural Management aims to provide participants with a foundational understanding of key concepts and theories in intercultural management. It delves into the evolution of intercultural management as a critical discipline in global business, emphasizing its significance. Participants will analyze the pivotal role of intercultural management for companies operating internationally, exploring both the potential benefits and challenges involved. The course also covers cultural dimensions shaping intercultural management, including communication styles, values, attitudes, and business etiquette, while addressing the evolving impact of technology and digitalization on cross-cultural communication. After the successful completion of the course, you will be able to learn about the following: Define intercultural management and its underlying theories and concepts. Discuss the evolution of intercultural management as a discipline in business administration and its significance in the globalized world. Analyze the role and importance of intercultural management for companies operating in an international environment, including its potential benefits and challenges. Explore the cultural dimensions that shape intercultural management, including communication styles, values, attitudes, and business etiquette. Discuss the impact of technology and digitalization on intercultural management and cross-cultural communication. The objective of this course is to provide participants with a comprehensive understanding of intercultural management, covering foundational theories and concepts. Participants will explore the historical evolution of intercultural management as a discipline in business administration, understanding its critical significance in the globalized world. The curriculum will delve into the role and importance of intercultural management for international companies, addressing potential benefits and challenges. Additionally, participants will analyze cultural dimensions influencing intercultural management, including communication styles, values, attitudes, and business etiquette, while also examining the impact of technology and digitalization on cross-cultural communication. The objective of this course is to provide participants with a foundational understanding of intercultural management, encompassing the definition and theories of the discipline. Participants will delve into the evolution of intercultural management, evaluating its crucial role in global business administration. The curriculum analyzes the significance of intercultural management for international companies, exploring potential benefits and challenges. Additionally, participants will explore cultural dimensions, including communication styles and values, and examine the transformative impact of technology on intercultural management and cross-cultural communication. Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Introduction to Intercultural Management Self-paced pre-recorded learning content on this topic. Introduction To Intercultural Management Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course.The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience, Professionals Seeking Global Competence Business Administrators and Managers International Business Students Cross-Cultural Communication Enthusiasts Marketing and Sales Professionals Human Resources Personnel Individuals Engaged in Global Collaborations Entrepreneurial Ventures in International Markets Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

In this course, you will learn to create effective visualizations for different stakeholders with the Splunk web framework, utilize tokens and event handlers, explore SDKs, interact with REST APIs, and build a test lab for log analysis and incident response.

Transform your role as a Midday Supervisor with our comprehensive Masterclass: Playtime Pro & Safety Leader. Gain expertise in safeguarding, positive behavior promotion, managing challenging situations, creating engaging environments, and supporting students with SEND. Elevate your skills to ensure a safe, inclusive, and thriving playtime experience. Enroll now for a transformative learning journey!

This course will help you learn the fundamentals of OpenShift with the help of interesting assignments. In no time, you will be able to develop, deploy, and manage multi-services applications using OpenShift.

The Professional Certificate Course in Leadership, Performance and Assessment in Public Health equip participants with the skills and knowledge needed to lead public health initiatives effectively. The course covers topics such as performance management, leadership principles, and assessment strategies specific to public health. The Professional Certificate Course in Leadership, Performance and Assessment in Public Health is designed to provide participants with the skills and knowledge necessary to lead and manage public health initiatives effectively. After the successful completion of the course, you will be able to learn about the following, Leadership in Public Health Enhancing workers performance Training and development of workers in Public Health Skills required in Public Health and role of leadership Geographic Information System (GIS) in Public Health Assessment in Public Health Various assessment methodologies Evaluation in Public Health Role of technology Computer applications in public health The Professional Certificate Course in Leadership, Performance and Assessment in Public Health equips participants with the skills and knowledge needed to lead public health initiatives effectively. The course covers topics such as performance management, leadership principles, and assessment strategies specific to the field of public health. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Leadership, Performance and Assessment in Public Health Self-paced pre-recorded learning content on this topic. Professional Certificate Course in Leadership, Performance and Assessment in Public Health Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. Public health professionals seeking to enhance their leadership and management skills Individuals interested in pursuing a career in public health leadership or management Health policymakers and administrators looking to improve public health outcomes in their communities Students and recent graduates interested in gaining a deeper understanding of leadership and performance management in public health. Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.