6223 Courses delivered Online

The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Complete Python Machine Learning & Data Science Fundamentals there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Complete Python Machine Learning & Data Science Fundamentals course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. 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 00:08:00 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 Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 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 00:07:00 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 - Python Machine Learning & Data Science Fundamentals 00:00:00

Boost your business with social media marketing strategies. Learn about content creation, campaigns, analytics, and more. Begin today!

Hone your operational leadership skills and ensure a streamlined business process to increase productivity. Gain mastery of Negotiation Techniques, Supply Chain Management.

In this course, you will learn how to author machine learning models in Python without the aid of frameworks or libraries from scratch. Discover the process of loading data, evaluating models, and implementing machine learning algorithms.

Our ISO 9001:2015 QMS Clauses Awareness course is a comprehensive program covering all ten clauses of the standard.

Getting Started The OTHM Level 6 Diploma in Tourism and Hospitality Management is designed to enhance learners' managerial capabilities in the tourism and hospitality industry. Learners will engage in in-depth analysis of current theories and knowledge, using them to provide solutions to complex management issues. Upon program completion, they will be equipped with specialised skills and knowledge essential for effectively planning and supervising their respective areas of work. Additionally, they will have the ability to make informed decisions and adapt skillfully to meet the diverse needs of different tourism and hospitality organisations. Key Benefits Acquires advanced management competencies tailored to the specific requirements of the tourism and hospitality industry. Develops the ability to propose practical solutions to complex management challenges in the field. Gains insight into the importance of technology in the tourism and hospitality sector. Learns to apply theories of global development in the context of tourism. Refines learners' communication and decision-making abilities, enabling them to make informed decisions in dynamic and intricate industry contexts. Presents opportunities for career progression, leading to elevated management positions. Key Highlights The Level 6 Diploma in Tourism and Hospitality Management is well-suited for individuals aspiring to advance their careers in the tourism and hospitality industry. We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximize future opportunities. Remember! The assessment for the qualification is based on assignments only, so you do not need to worry about taking any exams. With the School of Business and Technology London, you can complete the qualification at your own pace by choosing online or blended learning from the comfort of your home. Learning materials, pathway materials, and study guides developed by our qualified tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide you with comprehensive tutor support through our dedicated support desk. If you choose the blended learning option, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. About Awarding Body OTHM is an established and recognised Awarding Organisation (Certification Body) launched in 2003. OTHM has already made a mark in the UK and global online education scenario by creating and maintaining a user-friendly and skill based learning environment. OTHM has both local and international recognition which aids OTHM graduates to enhance their employability skills as well as allowing them to join degree and/or Master top-up programmes. OTHM qualifications has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Internally assessed by the centre and externally verified by OTHM. Assignment-based assessment. No exams. Entry Requirements A relevant NQF/QCF/RQF Level 5 diploma or an equivalent recognized qualification. Learners must be 18 years or older to enrol at the beginning of the course. Learners over 21 years with management experience. English language requirements: Must provide evidence of English language competency for learners from non-English-speaking countries Progression Relevant OTHM Level 7 Diplomas Direct employment This qualification is approved and regulated by Ofqual (Office of the Qualifications and Examinations Regulation). Therefore, learners are also qualified to pursue higher-level qualifications in their field. Why gain a OTHM Qualification? Quality, Standards and Recognitions- OTHM qualifications are approved and regulated by Ofqual (Office of the Qualifications and Examinations Regulation); hence, the learners can be very confident about the quality of the qualifications as well. Career Development to increase credibility with employers- All OTHM qualifications are developed to equip learners with the skills and knowledge every employer seeks. The learners pursuing an OTHM qualification will obtain an opportunity to enhance their knowledge and grow key competencies to tackle situations and work on projects more effectively, which will, in turn, give learners the potential to get promotions within the workplace. Alternatively, it allows them to progress onto an MBA top-up/Bachelor's degree / Master's degree programme around the World. Flexible study options- All OTHM qualifications have a credit value, which tells you how many credits are awarded when a unit is completed. The credit value will indicate how long it will normally take you to prepare for a unit or qualification. Three different types of qualification are: The award is achieved with 1 - 12 credits The certificate is completed with 13 - 36 credits The diploma is completed with at least 37 credits Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- Strategic Marketing Reference No : J/616/2676 Credit : 20 || TQT : 200 The goal of this unit is to enhance learners' ability to conduct critical analysis and apply strategic marketing tactics within the framework of tourism and hospitality entities. This includes the creation of strategic marketing blueprints and the evaluation of innovative offerings. Learners are expected to excel in sourcing pertinent information from academic and industry sources. UNIT2- Tourism Policy and Planning Reference No : D/616/2683 Credit : 20 || TQT : 200 This unit enhances learners' comprehension of the basics of tourism policy and planning. Learners will explore theories and concepts derived from public policy, tourism management, and planning. They will also formulate tourism plans that acknowledge the engagement of multiple stakeholders and investigate potential actions to be implemented in a destination. UNIT3- Organisational Behaviour and Performance Reference No : L/616/2677 Credit : 20 || TQT : 200 The objective of this unit is to improve learners' comprehension of the dynamics related to behavior, performance, leadership, and management within tourism and hospitality organisations. UNIT4- Technology in the Tourism and Hospitality Industry Reference No : L/616/2680 Credit : 20 || TQT : 200 The main goal of this unit is to cultivate a deep comprehension in learners regarding the importance of technology within the tourism and hospitality sector. This includes the evaluation of the impact of emerging technologies on organizational operations, as well as the role of the internet and social media in shaping consumer behavior and marketing within the tourism and hospitality industry. UNIT5- Tourism and International Development Reference No : R/616/2681 Credit : 20 || TQT : 200 In this unit, learners will establish an appreciation of the relationship between tourism and international development. They will evaluate theories of international development and apply them within the context of tourism. Furthermore, they will utilize development metrics to measure the extent to which tourism contributes to sustainable development. UNIT6- Researching Tourism and Hospitality Management Reference No : Y/616/2682 Credit : 20 || TQT : 200 The key goal of this unit is to improve learners' skills in developing and carrying out research projects that offer valuable insights for the management of tourism and hospitality organizations. Learners will evaluate methodologies for collecting and analyzing data pertaining to management challenges and, based on this data, draw conclusions to guide future decision-making. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Getting Started The ILM Level 3 Leadership and Management course is perfect for individuals who have management responsibilities but lack formal training and are committed to enhancing their skills. The course is especially beneficial for team leaders looking to advance to the next management level and managers who must guide their teams through organisational changes, budget reductions, or other challenging situations. With this ILM Level 3 Leadership and Management course, you will develop leadership skills, improve decision-making capabilities, hone management techniques, enhance team performance, and gain a deeper understanding of organisational behaviour. The course will also provide opportunities for practical application of skills in real-world scenarios and open doors to further career advancement. You will have the flexibility to tailor your learning experience to align with your career aspirations and professional development goals through an extensive selection of units. Key Benefits For Learners Acquire a range of management skills and apply them in your current role Strengthen your leadership capabilities to inspire and empower teams, and skilfully navigate relationships Elevate your leadership and management proficiency by leveraging your personal knowledge, values, and driving force For Organisations Effective and confident First line managers Better relationships and healthy communication within teams Proven skills: Managers will demonstrate the ability to apply their new skills to drive success in your organisation Equip your managers with the tools to continuously develop their own skills and abilities Career Pathways The ILM Level 3 Leadership and Management can open many career pathways including, but not limited to: Team Leader, with an estimated average salary of £30,051 per annum Supervisor, with an estimated average salary of £33,000 per annum Shift Manager, with an estimated average salary of £35,216 per annum Project Officer, with an estimated average salary of £36,451 per annum About Awarding Body Institute of Leadership & Management (ILM) is a professional body that helps people worldwide improve their leadership capabilities and advance their careers. All ILM qualifications are awarded by The City and Guilds of London Institute, founded in 1878 and incorporated into the Royal Charter. ILM qualifications are regulated and approved by Ofqual, the governing body for qualifications in the UK. What is included? Learn 100% online at your own pace Dedicated support from expert tutors Dedicated Support Desk Portal: You can raise queries, request tutor support and ask for a call back whenever you need guidance and assistance. Elevate Knowledge: Your tutors will provide formative assessment feedback for each module, helping you improve your achievements throughout the program Schedule online personal tutor meetings whenever you want, which will help you get the most out of your studies and provide guidance, support and encouragement 12 months support period 24-hour access to the online learning platform 'MyLearnDirect' Schedule live online classes for each module at your convenience. (Blended learning only) Quality learning resources and study guides developed by ILM-approved tutors. All assessment materials are conveniently accessible through the online learning platform 'MyLearnDirect' Induction: We offer online and flexible learning induction to help you settle in and prepare for your online studies ILM Membership - You will receive 12 months of the Institute of Leadership & Management membership, bringing access to a wealth of resources to support your leadership development. ILM Digital credentials - Validate your skills and share achievements anywhere, anytime using Digital Credentials Assessment For each module you study, you will complete a written assignment of 2000 to 2500 words and submit it online at your MyLearnDirect learning portal. The submitted assignments will be assessed by your ILM-approved tutor. Entry Requirements The ILM Level 3 Diploma in Leadership and Management course is aimed at practising team leaders seeking to move up to the next management level and managers who need to lead people through organisational change. To be eligible for this course, you must: Be 18 years of age and over Have some work experience as a team leader or supervisor or a similar role Possess the ability to complete the Level 3 course Our friendly admissions advisors will provide the best advice, considering your needs and goals.  Progression Successful learners can progress to a range of qualifications including: ILM Level 3 Certificate in Coaching and/or Mentoring ILM Level 3 Certificate or Diploma in Facilities Management ILM Level 3 Certificate in Enterprise and Entrepreneurship ILM Level 4 Award, Certificate or Diploma in Leadership and Management Why gain a ILM Qualification? The Level 3 Diploma in Leadership and Management course is ideal for individuals with management responsibilities who need formal training and are serious about developing their abilities. The course covers a wide range of units covering core management skills - such as understanding how to organise and delegate - plus skills in communication, team leadership, change, innovation and managing people and relationships. This flexibility in unit choice allows the qualification to be tailored to meet the needs of the individual and employer. Successful completion of the course could lead you to progression to a range of qualifications including: ILM Level 3 Diploma in Leadership and Management ILM Level 3 Certificate in Coaching and Mentoring ILM Level 4 Award, Certificate or Diploma in Leadership and Management ILM graduates achieve remarkable things: An impressive 70,000 people take ILM qualifications every year, with 93% of employers agreeing that their managers improved after completion. ILM Membership - All ILM learners receive a minimum of 12 months membership of the Institute of Leadership & Management, bringing access to a wealth of resources to support their leadership development ILM Digital credentials - Validate skills and share achievements anywhere, anytime using Digital Credentials Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- Leading and Motivating a Team Effectively Reference No : 8600-341 Credit : 2 || TQT : 20 UNIT2- Developing Own Leadership Capability Using Action Learning (Diploma only) Reference No : 8600-342 Credit : 10 || TQT : 100 UNIT3- Understanding Change in the Workplace Reference No : 8600-209 Credit : 2 || TQT : 20 UNIT4- Developing Yourself as an Effective Team Member Reference No : 8600-230 Credit : 3 || TQT : 30 UNIT5- Planning Change in the Workplace Reference No : 8600-302 Credit : 2 || TQT : 20 UNIT6- Giving Briefings and Making Presentations Reference No : 8600-307 Credit : 2 || TQT : 20 UNIT7- Understanding Performance Management Reference No : 8600-323 Credit : 2 || TQT : 20 UNIT8- Understand How to Lead Effective Meetings Reference No : 8600-328 Credit : 2 || TQT : 20 UNIT9- Understanding Innovation and Change in an Organisation Reference No : 8600-301 Credit : 2 || TQT : 20 UNIT10- Managing Equality and Diversity in Own Area Reference No : 8600-402 Credit : 4 || TQT : 40 UNIT11- Managing Equality and Diversity in Own Area Reference No : 8600-402 Credit : 4 || TQT : 40 UNIT12- Managing Equality and Diversity in Own Area Reference No : 8600-402 Credit : 4 || TQT : 40 UNIT13- Managing Risk in the Workplace Reference No : 8600-403 Credit : 3 || TQT : 30 UNIT14- Developing People in the Workplace Reference No : 8600-405 Credit : 5 || TQT : 50 Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

This Diploma in Business Administration course will help you understand teamwork concepts, dispute resolution strategies and provide support and constructive feedback to coworkers. You will be responsible for planning and managing personal and professional performance, workloads, and priorities and utilising time management tools and strategies to assist the company in meeting its operational goals. The Diploma in Business Administration course covers communication in a business environment, principles of providing administrative services, managing personal performance and development, preparing text from notes using touch typing, maintaining and issuing stationery and supplies, administering the recruitment and selection process, and contributing to the development and implementation of an information system. Learning Outcomes After completing this Diploma in Business Administration course, the learner will be able to: Know how to communicate in a business environment. Gain a solid understanding of principles of business document production and information management. Gain extensive skills in developing working relationships with colleagues. Gain an in-depth understanding of employer organisations. Enhance communication and performance skills in a business environment. Manage personal and professional development. Know how to work safely in a business environment. Why Choose Diploma in Business Administration Course from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. Diploma in Business Administration Course developed by industry experts. MCQ quiz after each module to assess your learning. Automated and instant assessment results. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as completing the course. ***Course Included*** Main Course: Level 2 Diploma in Business Administration **Free Courses** Course 01: Level 1 Business Management Course 02: Level 3 Business Administration [ Note: Free PDF certificate will provide as soon as completing the Diploma in Business Administration course] Course Curriculum *** Diploma in Business Administration *** Module 1: Communication in a Business Environment Module 2: Principles of Providing Administrative Services Module 3: Principles of Business Document Production and Information Management Module 4: Understand Employer Organisations Module 5: Manage Personal Performance and Development Module 6: Develop Working Relationships with Colleagues Module 7: Manage Diary Systems Module 8: Produce Business Documents Module 9: Health and Safety in a Business Environment Module 10: Handle Mail Module 11: Principles of Digital Marketing Module 12: Administer Finance Module 13: Understand Working in a Customer Service Environment Module 14: Principles of Team Leading Module 15: Principles of Equality and Diversity in the Workplace Module 16: Exploring Social Media Module 17: Understand the Safe Use of Online and Social Media Platforms Assessment Method After completing each module of the Diploma in Business Administration Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Certification After completing the MCQ/Assignment assessment for this Diploma in Business Administration course, you will be entitled to a Certificate of Completion from Training Tale. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? This Diploma in Business Administration course is ideal for learners who work in business and administration and want to improve their knowledge and skills in various work environments and sectors. It forms the knowledge and competency requirements of the Intermediate Apprenticeship Framework in Business Administration. Requirements There are no specific requirements for this Diploma in Business Administration course because it does not require any advanced knowledge or skills. Students who intend to enrol in this course must meet the following requirements: Good command of the English language Must be vivacious and self-driven Basic computer knowledge A minimum of 16 years of age is required Career path This Diploma in Business Administration qualification will increase your chances of obtaining long-term employment and progressing to the following job roles: Administration Assistant Business Support team member Junior/Apprentice Secretary Junior/Apprentice Personal Assistant Certificates Certificate of completion Digital certificate - Included

This Business Administration Diploma course will help you understand teamwork concepts, dispute resolution strategies and provide support and constructive feedback to coworkers. You will be responsible for planning and managing personal and professional performance, workloads, and priorities and utilising time management tools and strategies to assist the company in meeting its operational goals. The Business Administration Diplomacourse covers communication in a business environment, principles of providing administrative services, managing personal performance and development, preparing text from notes using touch typing, maintaining and issuing stationery and supplies, administering the recruitment and selection process, and contributing to the development and implementation of an information system. Learning Outcomes After completing this Business Administration Diploma course, the learner will be able to: Know how to communicate in a business environment. Gain a solid understanding of principles of business document production and information management. Gain extensive skills in developing working relationships with colleagues. Gain an in-depth understanding of employer organisations. Enhance communication and performance skills in a business environment. Manage personal and professional development. Know how to work safely in a business environment. Why Choose Diploma in Business Administration Diploma Course from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. Diploma in Business Administration Course developed by industry experts. MCQ quiz after each module to assess your learning. Automated and instant assessment results. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as completing the course. **Courses are included in this Business Administration Diploma Course** Main Course: Level 2 Diploma in Business Administration GIFT COURSES Course 01: Level 5 Diploma in Business Analysis Course 02: Level 3 Business Administration **Others Benefits of Business Administration Diploma** Free 3 PDF Certificate Lifetime Access Free Retake Exam Tutor Support [ Note: Free PDF certificate as soon as completing the Business Administration Diploma course] Course Curriculum *** Business Administration Diploma *** Course Curriculum Module 1: Communication in a Business Environment Module 2: Principles of Providing Administrative Services Module 3: Principles of Business Document Production and Information Management Module 4: Understand Employer Organisations Module 5: Manage Personal Performance and Development Module 6: Develop Working Relationships with Colleagues Module 7: Manage Diary Systems Module 8: Produce Business Documents Module 9: Health and Safety in a Business Environment Module 10: Handle Mail Module 11: Principles of Digital Marketing Module 12: Administer Finance Module 13: Understand Working in a Customer Service Environment Module 14: Principles of Team Leading Module 15: Principles of Equality and Diversity in the Workplace Module 16: Exploring Social Media Module 17: Understand the Safe Use of Online and Social Media Platforms Assessment Method After completing each module of the Business Administration Diploma Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Certification After completing the MCQ/Assignment assessment for this Business Administration Diploma course, you will be entitled to a Certificate of Completion from Training Tale. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? This Business Administration Diploma course is ideal for learners who work in business and administration and want to improve their knowledge and skills in various work environments and sectors. It forms the knowledge and competency Requirements There are no specific requirements for this Business Administration Diploma course because it does not require any advanced knowledge or skills. Career path This Business Administration Diploma qualification will increase your chances of obtaining long-term employment and progressing to the following job roles: Administration Assistant Business Support team member Junior/Apprentice Secretary Junior/Apprentice Personal Assistant Certificates Certificate of completion Digital certificate - Included

Data is the lifeblood of any business, and data administrators are responsible for ensuring that it is accurate, secure, and accessible. With the rise of big data, the demand for skilled data administrators in the UK is skyrocketing, with an impressive growth rate of 15% in job demand over the past year alone. What's more, professionals in this domain command handsome salaries, ranging between £50,000 to £85,000 annually. If you're interested in a career in data administration, or if you're looking to advance your existing career, our Data Administration Processes course is the perfect place to start. This comprehensive course will teach you everything you need to know about data administration, from the basics of data modeling and database design to more advanced topics such as data security and disaster recovery. Embracing this course can be a pivotal stepping stone in solidifying your career as a top-tier data administrator. Why would you choose the Data Administration Processes course from Compliance Central: Lifetime access to Data Administration Processes course materials Full tutor support is available from Monday to Friday with the Data Administration Processes course Learn Data Administration Processes skills at your own pace from the comfort of your home Gain a complete understanding of Data Administration Processes course Accessible, informative Data Administration Processes learning modules designed by experts Get 24/7 help or advice from our email and live chat teams with the Data Administration Processes Study Data Administration Processes in your own time through your computer, tablet or mobile device A 100% learning satisfaction guarantee with your Data Administration Processes Course Data Administration Processes Curriculum Breakdown of the Data Administration Processes Course Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding Data Administration Processes Course Learning Outcomes: Grasp foundational principles of data administration processes. Analyse and interpret various data visualisation tools. Understand and implement effective performance measurement structures. Recognize and address data variations strategically. Employ techniques to drive improvement through data. Present performance data with clarity and precision. Apply theoretical knowledge in real-world scenarios. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Data Administration Processes course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Data Administration Processes. It is also great for professionals who are already working in Data Administration Processes and want to get promoted at work. Requirements To enrol in this Data Administration Processes course, all you need is a basic understanding of the English Language and an internet connection. Career path The Data Administration Processes course will enhance your knowledge and improve your confidence. Data Analyst: £25,000 to £60,000 per year Data Entry Specialist: £18,000 to £30,000 per year Database Administrator: £30,000 to £65,000 per year Data Quality Manager: £35,000 to £70,000 per year Business Intelligence Analyst: £30,000 to £60,000 per year Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each