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14 in 1 "IT and Analytics Training Training" Bundle only at £ 79 Get Hard Copy + PDF Certificates + Transcript + Student ID Card + e-Learning App as a Gift - Enrol Now Tired of browsing and searching for a IT and Analytics Training course you are looking for? Can't find the complete Training package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this 14-in-1 extensive IT and Analytics Training bundle that has everything you need to succeed in IT and Analytics Training and other relevant fields! After surveying thousands of learners just like you and considering their valuable feedback, this all-in-one Training bundle has been designed by industry experts. We prioritised what learners were looking for in a complete IT and Analytics Training package and developed this in-demand Training course that will enhance your skills and prepare you for the competitive job market. Furthermore, to help you showcase your expertise in this Training, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These Training certificates will enhance your credibility and encourage possible employers to pick you over the rest. This Bundle Consists of the following Premium courses: Course 01: Introduction to Data Analysis Course 02: Quick Data Science Approach from Scratch Course 03: Excel Pivot Tables Course 04: Google Data Studio: Data Analytics Course 05: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines Course 06: Business Intelligence and Data Mining Masterclass Course 07: Statistics & Probability for Data Science & Machine Learning Course 08: RCA: Root Cause Analysis Course 09: Master JavaScript with Data Visualization Course 10: CompTIA CySA+ Cybersecurity Analyst (CS0-002) Course 11: Electronic Document Management System Step Course 12: IT For Recruiters Enrol now to advance your career, and use the premium study materials from Apex Learning. Benefits you'll get from choosing Apex Learning for this training: Pay once and get lifetime access to 14 CPD courses Free e-Learning App for engaging reading materials & helpful assistance Certificates, student ID included in a one-time fee Free up your time - don't waste time and money travelling for classes Accessible, informative modules designed by expert instructors Learn anytime, from anywhere Study from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (For The Title Course) Hard Copy Certificate: Free (For The Title Course) Curriculum Course 01: Introduction to Data Analysis 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 --------Other Courses Are-------- Course 02: Quick Data Science Approach from Scratch Course 03: Excel Pivot Tables Course 04: Google Data Studio: Data Analytics Course 05: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines Course 06: Business Intelligence and Data Mining Masterclass Course 07: Statistics & Probability for Data Science & Machine Learning Course 08: RCA: Root Cause Analysis Course 09: Master JavaScript with Data Visualization Course 10: CompTIA CySA+ Cybersecurity Analyst (CS0-002) Course 11: Electronic Document Management System Step Course 12: IT For Recruiters CPD 130 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this IT and Analytics Training bundle including- Students Graduates Job Seekers Job Holders Requirements Our Training is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. This Training course has been designed to be fully compatible with tablets and smartphones, so you can access your course on Wi-Fi, 3G or 4G. Career path Having this Training expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included You will get the PDF Certificate for the title course (Introduction to Data Analysis) absolutely Free! Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Introduction to Data Analysis) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Level 5 QLS Endorsed | 150 CPD Points| +Gifts: QLS Certificate + PDF Certificate | Lifetime Access| 24/7 Learner Support

Overview Gain the ultimate leadership and management skills and become a qualified leader by enrolling in the advanced Complete Leadership and Management Diploma - Level 4 course. This comprehensive Complete Leadership and Management Diploma - Level 4 aims to equip you with a solid understanding of leadership and management,along with the skills, expertise and confidenceto drive your career forward. You'll learn about professional skill development essentials, time management, delegation, dealing with poor performance, defining team values and goals, project management, and many more. Throughout the course, you'll discover many reasons for being unable to achieve goals and credibility that will help your personal development. Boost your career opportunities as a leader by enrolling today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Complete Leadership and Management Diploma - Level 4. It is available to all students, of all academic backgrounds. Requirements Our Complete Leadership and Management Diploma - Level 4 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G.There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 21 sections • 21 lectures • 08:46:00 total length •Introduction to the Course: 00:03:00 •Understanding Management and Leadership: 00:40:00 •Leadership Theories: 00:25:00 •Improving Management and Leadership Performance: 00:15:00 •High Performance Teams: 00:32:00 •Motivating Employees: 00:26:00 •Organisational Skills: 00:26:00 •Talent Management: 00:37:00 •Succession Planning: 00:24:00 •Business Process Management: 00:28:00 •Communication Skills: 00:27:00 •Negotiation Techniques: 00:15:00 •Managing Meetings and Giving Feedback: 00:21:00 •Managing Change: 00:22:00 •Time Management: 00:37:00 •Stress Management: 00:15:00 •Emotional Intelligence in Leadership: 00:32:00 •Managing Conflict: 00:14:00 •Dealing with Office Politics: 00:34:00 •Risk Management: 00:37:00 •Corporate Responsibility and Ethics: 00:16:00

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

In today’s fast-paced business environment, the role of a Telesales Executive has become more crucial than ever. With a focus on driving sales through phone conversations, this course is designed to equip you with the core knowledge and skills needed to succeed in the telesales industry. From mastering effective communication techniques to understanding the key principles of customer persuasion, this course covers everything you need to know to start excelling in telesales. Throughout the course, you’ll learn the strategies that top telesales professionals use to build rapport, overcome objections, and close deals. You’ll also explore how to handle difficult conversations with ease and use your voice as a powerful tool to influence potential clients. Whether you’re new to telesales or looking to enhance your existing skills, this course offers valuable insights and strategies that will help you drive results, increase customer engagement, and boost your sales performance. Prepare yourself for a rewarding career in telesales with the knowledge and confidence to succeed. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 01: Introduction to Telesales Module 02: Prospecting and Lead Generation Module 03: Sales Techniques and Strategies Module 04: Call Preparation Module 05: Call Response Module 06: Staging the Call Module 07: Dealing with Difficult Situations Module 08: Closing the Call Module 09: Telephone Etiquette Module 10: Sales Metrics and Performance Management Learning Outcomes Enhance your telesales skills and techniques. Master prospecting and lead generation strategies. Develop effective call preparation and response strategies. Successfully navigate and overcome challenging situations. Perfect the art of closing sales calls. Understand the importance of telephone etiquette and sales performance metrics. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Sales professionals aiming to sharpen their telesales skills. Individuals looking to enter the telesales industry. Customer service representatives seeking to transition into telesales. Small business owners interested in improving their sales abilities. Graduates seeking a career in sales. Anyone eager to boost their sales performance and career prospects. Career path Telesales Executive Inside Sales Representative Business Development Executive Sales Coordinator Account Executive Customer Relationship Manager Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

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.

The Level 5 qualifications in Management and Leadership are aimed at those who are working as middle managers and those who are aspiring to be senior managers. This qualification is mainly focused on the improvement of the student’s capabilities and core management skills such as resource management, recruitment, and information management. The Level 5 Diploma in Management and Leadership has been devised for developing the key skills of middle managers and those who are striving to be senior managers. This diploma is a benchmark qualification for full CMI membership which will take you one step closer to the status of a Chartered Manager. We have a 100% pass rate due to the high levels of support delivered through our online learning platform and individual coaches/assessors are assigned to all students. Our speed of response is second to none and our 5-star rating from our students speaks for itself. We are delighted to have supported students to unleash their potential from a diverse range of organisations both within the UK and internationally from organisations that have most recently included: Michelin Barclays Firstsource Mercedes Benz Shangrila Hotels and Resorts Virgin Money UK Person College London North Norfolk District Council G&L Scientific Coca Cola New Balance PureGym As a CMI accredited Chartered Manager Centre, many of our students go on to achieve recognition as Chartered Managers through our centre. Study method Online, self-paced Duration 6months Access to content Access until course completion Qualification Level 5 Diploma in Management and Leadership (RQF) CPD 370 CPD hours / points Additional info Exam(s) / assessment(s) is included in price Tutor is available to students CPD 370 CPD hours / points Accredited by Chartered Management Institute Key Benefits Latest and emerging as well as classical leadership and management concepts, theories and models. Practical guidance and support from our coaches and assessors who are all CMI Chartered Managers or Fellows. An internationally – recognised professional qualification. The credits earned at this course can be transferred to other courses if the students want to pursue MBA or any other Masters. On successful completion of the programme, students will be able to demonstrate their understanding and ability to apply leadership and management good practice which will improve their attractiveness to employers. The programme covers a choice of the following Units to a Total Qualification Time of 540 hours: CMI 502 Developing, Managing and Leading Individuals and Teams to Achieve Success (60 Hours TUT) CMI 504 Managing Performance (50 Hours TUT) CMI 506 Managing Equality, Diversity and Inclusion (50 Hours TUT) CMI 514 Managing Change (50 Hours TUT) CMI 513 Managing Projects to Achieve Results (60 Hours TUT) CMI 515 Creating and Delivering Operational Plans (60 Hours TUT) CMI 517 Principles of innovation (50 Hours TUT) CMI 520 Managing finance (60 Hours TUT) CMI 523 Principles of marketing products and services (60 Hours TUT) CMI 524 Conducting a Management Project (100 Hours TUT) CMI 525 Using Reflective Practice to Inform Personal and Professional Development (50 Hours TUT) We also provide students with access to the full CMI syllabus and support them if they wish to choose alternative Units. What the programme offers Level 5 Diploma in Leadership & Management from Chartered Management Institute (CMI) Student membership of the Chartered Management Institute Full learning support and all course materials All registration and assessment fees (We don't believe in hidden costs) Unrivalled one-to-one tutor support throughout the entire learning journey. A dedicated Chartered Manager as your programme coach/assessor 24-7 access to our extensive online Academy and CMI's Management Direct learning platform. All assessment and support materials are accessible through our online learning platform Assessment feedback within 48 hours to keep students motivated and on track The opportunity to progress to become recognised as a Chartered Manager upon successful completion Who is this course for? Middle Managers, potential middle managers and senior managers/business owners who want to consolidate their understanding of leadership and management good practice and gain formal recognition of their leadership and management abilities from the Chartered Management Institute – the only worldwide Chartered leadership and management professional body. Requirements None - we offer an inclusive and welcoming learning environment to all our students and there are no barriers to entry. Prospective students should be aware this CMI level 5 qualification is approximately equivalent to an academic degree level. Students will be required to submit assignments to this level. Career path A career in leadership and management. A possible progression route on successful completion of a Level 5 qualification in Strategic Management and Leadership would be to, Progress to other qualifications at the next level (e.g. from Level 5 Certificate to Level 6 or 7 Certificate)

The Value Driven Project Manager This presentation addresses how core values are formed at the individual level and at the organizational level. It will also address how these values drive personal performance and influence the effectiveness of the professional project manager. Is project management a profession or simply a methodology? While the debate continues, there is no doubt that a well-trained, experienced, professional project manager will make a meaningful addition to any organization. The career-minded project manager is an authority on achieving success, and continually practices and develops the skills necessary to overcome any challenges encountered during the process. This video offers keen insight into how core values are formed at the individual level and at the organizational level, and how these values drive personal performance and influence the effectiveness of the professional project manager. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

The Value Driven Project Manager This presentation addresses how core values are formed at the individual level and at the organizational level. It will also address how these values drive personal performance and influence the effectiveness of the professional project manager. Is project management a profession or simply a methodology? While the debate continues, there is no doubt that a well-trained, experienced, professional project manager will make a meaningful addition to any organization. The career-minded project manager is an authority on achieving success, and continually practices and develops the skills necessary to overcome any challenges encountered during the process. This video offers keen insight into how core values are formed at the individual level and at the organizational level, and how these values drive personal performance and influence the effectiveness of the professional project manager. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

Getting Started The research technique taken for the cybersecurity course program is designed to guide learners interested in enhancing their key capabilities in cybersecurity. The outcome of the Cyber Security Diploma, an accepted UK qualification, is that aspirants learn the abilities that organizations worldwide need. All programs are intended to provide learning based on ideas and practical insights that current and future businesses need. In addition, we look forward to developing effective team leaders, executives and leaders through creating and distributing industry-required learning. The qualification will identify and assess practical methods to safeguard individuals and data from cyber-attacks and related impacts safely and securely. Key Benefits   This qualification will benefit the learner: Understand fundamental cryptographic principles and modes and the standards, regulations, and laws applicable to business and government organisations concerning encryption. Understand the core principles of digital investigations. Apply the types of tools that support professional digital investigations at a strategic level. Plan for investigations and forensics teams. Understand the physical and human resources required to manage a suspected cyber security incident. Apply Business Continuity Management to significant incident planning and response. Understand the role of senior leaders and strategic leadership. Evaluate the management streams and performance monitoring mechanisms that relate to information security. Understand how data protection legislation impacts considerations of strategy-setting and strategic leadership. Learners can progress to Level 6 University Degree (Top-Up) course or directly into employment in an associated profession.   Key Highlights How do you keep your Business safe from cyber-attacks? To understand more about this, the Qualifi Level 5 Diploma in Cyber Security is the ideal starting point for your career journey. The program offers a semi-technical qualification and a unique course about cyber security as a workplace management discipline. The programme utilises many case studies from business organisations and embeds isomorphic learning into its technical education. Remember! The assessment for the qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our Qualifi-approved 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 comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways The Qualifi Level 5 Level Diploma in Cyber Security can open many career pathways including, but not limited to: Security Consultant, with an estimated average salary of £46,568 per annum IT Security Analyst with an estimated average salary of £45,723 per annum Health Care Assistant with an estimated average salary of £44,033 per annum Ethical Hackers with an estimated average salary of £63,600 per annum Forensic Computer Analyst with an estimated average salary of £66,548 per annum Penetration Tester with an estimated average salary of £65,000 per annum Security Systems Administrator, with an estimated average salary of £ 60,100per annum Cyber Security Architect with an estimated average salary of £75,330 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. 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. This 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 Time-constrained scenario-based assignments No examinations Entry Requirements   This qualification has been designed to be accessible without artificial barriers restricting access and progression. Entry to the qualification will be through a centre application form or interview, and the candidates will be expected to hold the following: Learners who possess qualifications at Level 4 and Learners who have some technical and risk management work experience in a computing or security business environment and demonstrate ambition with clear career goals; Learners with a Level 5 qualification in another discipline want to develop their careers in cyber security and risk management. In certain circumstances, learners with considerable experience but no formal qualifications may be considered, subject to interview and demonstrating their ability to cope with the programme's demands. In the case of applicants whose first language is not English, then IELTS 5 (or equivalent) is required. International Qualifications will be checked for appropriate matriculation to UK higher education post-graduate programmes. The applicants are required to produce two supporting references, at least one of which should be academic. Progression Learners completing the QUALIFI Level 5 Diploma will progress to: (Pending a successful application to our Partner institution) a Level 6 University Degree (TopUp) course. Directly into employment in an associated profession. Why gain a QUALIFI Qualification?   This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also learn to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle issues and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills.   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- Cryptography Reference No : DCS01 Credit : 30 || TQT : 300 Cryptography, the unit will develop knowledge, enhance skills and qualities. You can understand key cryptographic principles and modes.And provides to give a good knowledge of some commonly used cryptographic primitives and protocols. UNIT2- Digital Investigations and Forensics Reference No : DCS02 Credit : 30 || TQT : 300 Digital Investigations and Forensics in the unit will understand the core principles of digital investigations and how to apply types of tool that support professional digital studies at a strategic level. UNIT3- Communications and Incident Management Reference No : DCS03 Credit : 30 || TQT : 300 The Communications and Incident Management unit helps you to know more about the physical and human resources required to manage a major suspected cybersecurity incident. And this unit will provide how to apply Business Continuity Management to major incident planning and response also. UNIT4- Strategic Leadership Reference No : DCS04 Credit : 30 || TQT : 300 The unit will develop and implement leadership skills, and it will shape the future of your organization. It helps to understand the role of senior leaders and strategic leadership and evaluate the management streams and performance monitoring mechanisms that relate to information security. 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.