20269 Business courses delivered On Demand

Unlock your potential and elevate your business acumen with our comprehensive course on Strategic Planning: Marketing, External and Internal Analysis. Designed for professionals seeking to master the intricacies of strategic planning, this course delves into the core elements of marketing, internal, and external analysis, equipping you with the tools and knowledge to drive your organization toward sustained success. Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access This course on Strategic Planning teaches you how to create effective plans for business success. You will learn the basics of strategic planning and how it applies to marketing. The course covers analyzing both internal and external factors that affect a business. You will learn how to assess your company's strengths and weaknesses, as well as understand the market and competition. The course also teaches how to develop a strategic plan, focusing on customer needs and competitor strategies. You will learn about market segmentation, targeting, and positioning to effectively reach your desired audience. By the end of the course, you will have the skills to create and implement a strategic plan that helps your business grow and succeed. Course Curriculum Module 01: An Introduction to Strategic Planning Module 02: Strategic Planning for Marketing Module 03: Strategic and Marketing Analysis Module 04: Internal Analysis Module 05: External Analysis Module 06: Development of a Strategic Plan Module 07: Approaches to Customer Analysis Module 08: Approaches to Competitor Analysis Module 09: Market Segmentation, Targeting and Positioning Learning Outcomes: Understand fundamental principles of strategic planning and marketing strategies. Conduct comprehensive strategic and marketing analysis for business growth. Evaluate internal factors impacting organisational performance and strategic planning. Analyse external factors influencing business strategies and market positioning. Develop effective strategic plans aligned with business objectives and market conditions. Implement customer and competitor analysis techniques for market segmentation. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Marketing managers aiming to improve strategic planning skills. Business analysts focusing on internal and external business analysis. Entrepreneurs developing effective business strategies. Consultants advising clients on market positioning. Students pursuing careers in strategic marketing. Career path Marketing Manager Business Analyst Strategic Planner Market Research Analyst Business Consultant Brand Manager Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Writing Sales Proposals Certification Strong sales proposals are a key element of the sales process. A good proposal outlines the nature and benefits of the product or service on offer and how it can solve the prospective client's problems. It should inspire confidence and answer a client's questions and objections. However, writing sales proposals is not easy. Many salespeople feel more confident presenting information verbally rather than writing out a proposal. In this course, you will learn the role of a proposal in sealing a deal, the key pieces of information you need to include and what you must avoid when putting together a winning proposal.   You Will Learn: Why sales proposals are important, why you must tailor a proposal to suit a client or situation and points to bear in mind when attempting to appeal to a prospective client How to structure your proposals so that they strike the right tone, communicate key pieces of information and persuade the client that what you are offering will meet their needs The common mistakes people make when writing sales proposals and how to avoid them   Benefits of Taking This Course: If you have to write sales proposals as part of your job, this course will help you approach the task with confidence If you manage or supervise a sales team, this course will provide you with a framework for teaching this important skill If you write strong proposals, you are much more likely to succeed in gaining business and, as a result, increase your business' profits

Level 5 QLS Endorsed Course | Endorsed Certificate Included | Plus 5 Career Guided Courses | CPD Accredited

24 Hour Flash Deal **25-in-1 Managing Professional (MP) Transition Mega Bundle** Managing Professional (MP) Transition Enrolment Gifts **FREE PDF Certificate**FREE PDF Transcript ** FREE Exam** FREE Student ID ** Lifetime Access **FREE Enrolment Letter ** Take the initial steps toward a successful long-term career by studying the Managing Professional (MP) Transition package online with Studyhub through our online learning platform. The Managing Professional (MP) Transition bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass. This Managing Professional (MP) Transition course provides complete 360-degree training on Managing Professional (MP) Transition. You'll get not one, not two, not three, but twenty-five Managing Professional (MP) Transition courses included in this course. Plus Studyhub's signature Forever Access is given as always, meaning these Managing Professional (MP) Transition courses are yours for as long as you want them once you enrol in this course This Managing Professional (MP) Transition Bundle consists the following career oriented courses: Course 01: Essentials of Becoming a Manager and Managing Teams Course 02: Leadership and Management Essential Skill Course 03: Strategic Planning and Analysis for Marketing Course 04: Diploma in Sales and Strategic Marketing Certificate Course 05: Corporate Relationship Goals for Success Course 06: Financial Modelling Course 07: Business Management Course 08: Operations and Time Management Course 09: Project Management Course 10: Corporate Risk And Crisis Management Course 11: Six Sigma Green Belt Diploma Course 12: Six Sigma Black Belt - Advance Diploma Course 13: Agile Project Management Diploma Course 14: Lean Leadership, Culture and Management - Online Diploma Course 15: Team Management Course 16: Quality Management and Strategic Training - ISO 9001 Course 17: Change Management Course 18: Stakeholder Management Course 19: Governance and Risk Management: Navigating Corporate Strategies Course 20: Understanding Retail and Operations Management Strategies Course 21: Organizational Behaviour, HR and Leadership Course 22: Business Strategy Planning Course 23: Performance Management Course 24: Conflict Resolution Course 25: Decision Making and Critical Thinking Online Course The Managing Professional (MP) Transition course has been prepared by focusing largely on Managing Professional (MP) Transition career readiness. It has been designed by our Managing Professional (MP) Transition specialists in a manner that you will be likely to find yourself head and shoulders above the others. For better learning, one to one assistance will also be provided if it's required by any learners. The Managing Professional (MP) Transition Bundle is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Managing Professional (MP) Transition bundle course has been created with twenty-five premium courses to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Managing Professional (MP) Transition Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into Managing Professional (MP) Transition Elementary modules, allowing our students to grasp each lesson quickly. The Managing Professional (MP) Transition course is self-paced and can be taken from the comfort of your home, office, or on the go! With our Student ID card you will get discounts on things like music, food, travel and clothes etc. In this exclusive Managing Professional (MP) Transition bundle, you really hit the jackpot. Here's what you get: Step by step Managing Professional (MP) Transition lessons One to one assistance from Managing Professional (MP) Transition Professionals if you need it Innovative exams to test your knowledge after the Managing Professional (MP) Transition Course 24/7 customer support should you encounter any hiccups Top-class learning portal Unlimited lifetime access to all twenty-five Managing Professional (MP) Transition courses Digital Certificate, Transcript and student ID are all included in the price PDF certificate immediately after passing Original copies of your Managing Professional (MP) Transition certificate and transcript on the next working day Easily learn the Managing Professional (MP) Transition skills and knowledge you want from the comfort of your home CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Managing Professional (MP) Transition training is suitable for - Students Recent graduates Job Seekers Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise in Managing Professional (MP) Transition Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Requirements To participate in this Managing Professional (MP) Transition course, all you need is - A smart device A secure internet connection And a keen interest in Managing Professional (MP) Transition Career path You will be able to kickstart your Managing Professional (MP) Transition career because this course includes various courses as a bonus. This Managing Professional (MP) Transition is an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore Managing Professional (MP) Transition career opportunities. Certificates CPD Accredited Certificate Digital certificate - Included CPD Accredited e-Certificate - Free CPD Accredited Hardcopy Certificate - Free Enrolment Letter - Free Student ID Card - Free

This course aims to provide a comprehensive understanding of decision-making processes and dynamics at the managerial level. The course aims to equip learners with knowledge and skills to apply various decision-making models, including decision support systems (DSS) and system modelling, to support effective organisational decision-making. Additionally, the course will enable learners to identify and prepare for trends in decision support and business intelligence and understand how management information systems can aid in decision-making. After the successful completion of the course, you will be able to learn about the following, Understand Decision-Making dynamics and process Types of decision-making, especially at the managerial level. Understanding and applying the decision-making models, including the decision support system (DSS) and its components. Analysing the Information Requirements of Key Decision-making Groups in a Firm. Identifying and preparing for trends in Decision Support and Business Intelligence. Understanding System Modelling and its Types. Learn about how Management Information Systems help in Decision Making. This course covers the fundamentals of decision-making processes and dynamics, including the types of decision-making at the managerial level. Learners will explore various decision-making models and their applications, focusing on decision support systems (DSS) and system modelling. They will gain an understanding of the components of DSS and their role in supporting effective decision-making. This course covers the fundamentals of decision-making processes and dynamics, including the types of decision-making at the managerial level. Learners will explore various decision-making models and their applications, with a particular focus on decision support systems (DSS) and system modeling. They will gain an understanding of the components of DSS and their role in supporting effective decision-making. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Understanding the Role of MIS in Decision Making, System Design, and Modeling Self-paced pre-recorded learning content on this topic. Understanding the Role of MIS in Decision Making and Modeling Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. Managers at all levels Business analysts Decision support specialists IT professionals. Consultants & Project managers Entrepreneurs and business owners Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Overview This comprehensive course on Start A T-Shirt Business | Merch By Amazon, Teespring & More will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Start A T-Shirt Business | Merch By Amazon, Teespring & More comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Start A T-Shirt Business | Merch By Amazon, Teespring & More. It is available to all students, of all academic backgrounds. Requirements Our Start A T-Shirt Business | Merch By Amazon, Teespring & More is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 12 sections • 61 lectures • 05:07:00 total length •Welcome to the Course!: 00:05:00 •Start A T-Shirt Business | Course Overview: 00:04:00 •Purchasing T-Shirt Designs | Section Overview: 00:02:00 •The Cheapest & Fastest Place to Purchase Shirt Designs!: 00:08:00 •Get Pre-Vetted Freelancers to Create Your Shirt Designs: 00:04:00 •Hold a Contest for Freelancers to Create Your T-Shirt Design: 00:05:00 •How to Create T-Shirt Designs | Section Overview: 00:02:00 •Download This FREE Photo Editor to Create & Edit Designs: 00:04:00 •Get Text & Font For Your DesignsFor Free!: 00:04:00 •My Favorite Place to Get Royalty Free Images: 00:02:00 •Become a Member Here to Access Thousands of Images for Your Designs: 00:03:00 •Create & Export Your First Completed T-Shirt Design!: 00:05:00 •Placeit T-shirt Design Maker | Access 5000+ Design Templates: 00:08:00 •Canva T-shirt Designer | Access T-Shirt Design Templates, Images, Fonts & More!: 00:07:00 •Market Research, Keywords & Trademarks | Section Overview: 00:02:00 •Selecting A Niche | Create Your Niche List: 00:02:00 •Market Research | Check Market Trends & Demand: 00:04:00 •Market Research | What Is Already Selling?: 00:06:00 •Create A Keyword List | Keyword Research for SEO: 00:04:00 •Spy on Your Competitors Keywords | What Is Already Working?: 00:03:00 •How to Search 'Buyer' Keywords from Amazon: 00:02:00 •Trademarks & Copyright Research | Avoid Future Issues: 00:05:00 •Getting Started on Merch by Amazon: 00:02:00 •Merch by Amazon | Platform Overview: 00:04:00 •Applying For Merch by Amazon | Request Invitation: 00:09:00 •Uploading Designs to Merch by Amazon: 00:08:00 •GIMP 2.10 for Merch by Amazon (Updated 2021): 00:09:00 •Tiering Up on Merch by Amazon: 00:10:00 •Getting Started on Teespring | Section Overview: 00:02:00 •Create Your Teespring Account | Signup & Settings: 00:04:00 •Teespring Dashboard | Platform Overview: 00:04:00 •Build Your Teespring Storefront | Banner, Avatar & More: 00:12:00 •Upload Designs to Teespring | Edit Products & Publish Listings: 00:06:00 •6 Ways to Optimize Your Product Listings on Teespring: 00:16:00 •Teespring Analytics Tracking | Connect Google Analytics: 00:06:00 •Teespring Conversion Tracking | Facebook Pixel Example: 00:10:00 •Create Discount Codes | Teespring Promotions: 00:08:00 •Getting Started on Redbubble | Section Overview: 00:02:00 •Build Your Redbubble Shop | Banner, Avatar & Artist Bio: 00:06:00 •Redbubble | Upload Your First Design & Publish Your Product Listing: 00:06:00 •Tags & Keywords | Optimize Your Redbubble Listings: 00:06:00 •Create Collections | Organize Your Redbubble Shop: 00:04:00 •How to Select Default Product Views On Redbubble: 00:07:00 •Redbubble Markups | Edit Your Product Pricing: 00:04:00 •Connect Google Analytics to Redbubble: 00:05:00 •CafePress | Getting Started on CafePress: 00:05:00 •TeePublic | Getting Started on TeePublic: 00:02:00 •Zazzle | Getting Started on Zazzle: 00:03:00 •Spreadshirt | Getting Started on Spreadshirt: 00:03:00 •FunnyShirts | Getting Started on FunnyShirts: 00:03:00 •Free Marketing Strategies | Section Overview: 00:01:00 •Listing Optimization | SEO, Keywords & Quality: 00:01:00 •Facebook Marketing | Strategies to Promote for Free on Facebook: 00:08:00 •Instagram Marketing | Building Your Instagram Brand Page: 00:04:00 •Pinterest Marketing | Marketing Your Brand with Pinterest: 00:03:00 •Paid Promotion Strategies | Section Overview: 00:02:00 •Create Mock-Ups for Your Ads | Get High Quality Photo or Video Mockups: 00:06:00 •Facebook Post Boost | Boost Your Facebook Post to Increase Engagement: 00:04:00 •Facebook Targeted Ads | Custom Audience & Targeted Ads: 00:13:00 •Google Ads | Create Targeted Ads on Google & YouTube: 00:05:00 •Bonus Lecture: 00:03:00

Getting Started The QUALIFI Level 3 Diploma in Data Science aims to offer learners a comprehensive introduction to data science. This Level 3 Diploma provides a modern and all-encompassing overview of data science, artificial intelligence, and machine learning. It covers the evolution of artificial intelligence and machine learning from their beginnings in the late 1950s to the emergence of the "big data" era in the early 2000s. It extends to the current AI and machine learning applications, including the associated challenges. In addition to covering standard machine learning models like linear and logistic regression, decision trees, and k-means clustering, this diploma introduces learners to two emerging areas of data science: synthetic data and graph data science. Moreover, the diploma familiarizes learners with the landscape of data analysis and the relevant analytical tools. It includes introducing Python programming so learners can effectively analyse, explore, and visualize data and implement fundamental data science models. Key Benefits Acquire the essential mathematical and statistical knowledge necessary for conducting fundamental data analysis. Cultivate analytical and machine learning proficiency using Python. Foster a solid grasp of data and its related processes, encompassing data cleaning, data structuring, and data preparation for analysis and visualisation. Gain insight into the expansive data science landscape and ecosystem, including relational databases, graph databases, programming languages like Python, visualisation tools, and various analytical instruments. Develop expertise in comprehending the machine learning procedures, including the ability to discern which algorithms are suited for distinct problems and to navigate the steps involved in constructing, testing, and validating a model. Attain an understanding of contemporary and emerging facets of data science and their applicability to modern challenges Key Highlights This course module prepares learners for higher-level Data science positions through personal and professional development. 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 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 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 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 Upon completing the QUALIFI Level 3 Diploma in Data Science, learners can advance their studies or pursue employment opportunities. Data Analyst with an estimated average salary of £39,445 per annum Business Intelligence Analyst with an estimated average salary of £40,000 per annum Data entry specialist with an estimated average salary of £22,425 per annum Database Administrator with an estimated average salary of £44,185 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 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 The qualification has been intentionally designed to ensure accessibility without imposing artificial barriers that limit entry. To enrol in this qualification, applicants must be 18 years of age or older. Admittance to the qualification will be managed through centre-led registration processes, which may involve interviews or other appropriate procedures. Despite the presence of advanced mathematics and statistics in higher-level data science courses, encompassing subjects such as linear algebra and differential calculus, this Level 3 Diploma only requires learners to be comfortable with mathematics at the GCSE level. The diploma's mathematical and statistical concepts are based on standard mathematical operations like addition, multiplication, and division. Before commencing the Level 3 Diploma in Data Science, learners are expected to meet the following minimum requirements: i) GCSE Mathematics with a grade of B or higher (equivalent to the new level 6 or above); and ii) GCSE English with a grade of C or higher (equivalent to the new level 4 or above). Furthermore, prior coding experience is not mandatory, although learners should be willing and comfortable with learning Python. Python has been selected for its user-friendly and easily learnable nature. In exceptional circumstances, applicants with substantial experience but lacking formal qualifications may be considered for admission, contingent upon completing an interview and demonstrating their ability to meet the demands of the capability. Progression Upon successful completion of the QUALIFI Level 3 Diploma in Data Science, learners will have several opportunities: Progress to QUALIFI Level 4 Diploma in Data Science: Graduates can advance their education and skills by enrolling in the QUALIFI Level 4 Diploma in Data Science, which offers a more advanced and comprehensive study of the field. Apply for Entry to a UK University for an Undergraduate Degree: This qualification opens doors to higher education, allowing learners to apply for entry to a UK university to pursue an undergraduate degree in a related field, such as data science, computer science, or a related discipline. Progress to Employment in an Associated Profession: Graduates of this program can enter the workforce and seek employment opportunities in professions related to data science, artificial intelligence, machine learning, data analysis, and other relevant fields. These progression options provide learners with a diverse range of opportunities for further education, career advancement, and professional development in the dynamic and rapidly evolving field of data science 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 acquire the ability 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 problems 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- The Field of Data Science Reference No : H/650/4951 Credit : 6 || TQT : 60 This unit provides learners with an introduction to the field of data science, tracing its origins from the emergence of artificial intelligence and machine learning in the late 1950s, through the advent of the "big data" era in the early 2000s, to its contemporary applications in AI, machine learning, and deep learning, along with the associated challenges. UNIT2- Python for Data Science Reference No : J/650/4952 Credit : 9 || TQT : 90 This unit offers learners an introductory approach to Python programming tailored for data science. It begins by assuming no prior coding knowledge or familiarity with Python and proceeds to elucidate Python's fundamentals, including its design philosophy, syntax, naming conventions, and coding standards. UNIT3- Creating and Interpreting Visualisations in Data Science Reference No : K/650/4953 Credit : 3 || TQT : 30 This unit initiates learners into the realm of fundamental charts and visualisations, teaching them the art of creating and comprehending these graphical representations. It commences by elucidating the significance of visualisations in data comprehension and discerns the characteristics distinguishing effective visualisations from subpar ones. UNIT4- Data and Descriptive Statistics in Data Science Reference No : L/650/4954 Credit : 6 || TQT : 60 The primary objective of this unit is to acquaint learners with the foundational concepts of descriptive statistics and essential methods crucial for data analysis and data science. UNIT5- Fundamentals of Data Analytics Reference No : M/650/4955 Credit : 3 || TQT : 30 This unit will enable learners to distinguish between the roles of a Data Analyst, Data Scientist, and Data Engineer. Additionally, learners can provide an overview of the data ecosystem, encompassing databases and data warehouses, and gain familiarity with prominent vendors and diverse tools within this data ecosystem. UNIT6- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT7- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT8- Machine Learning Methods and Models in Data Science Reference No : T/650/4957 Credit : 3 || TQT : 30 This unit explores the practical applications of various methods in addressing real-world problems. It provides a summary of the key features of these different methods and highlights the challenges associated with each of them. UNIT9- The Machine Learning Process Reference No : Y/650/4958 Credit : 3 || TQT : 30 This unit provides an introduction to the numerous steps and procedures integral to the construction and assessment of machine learning models. UNIT10- Linear Regression in Data Science Reference No : A/650/4959 Credit : 3 || TQT : 30 This unit offers a foundational understanding of simple linear regression models, a crucial concept for predicting the value of one continuous variable based on another. Learners will gain the capability to estimate the best-fit line by computing regression parameters and comprehend the accuracy associated with this line of best-fit. UNIT11- Logistic Regression in Data Science Reference No : H/650/4960 Credit : 3 || TQT : 30 This unit introduces logistic regression, emphasizing its role as a classification algorithm. It delves into the fundamentals of binary logistic regression, covering essential concepts such as the logistic function, Odds ratio, and the Logit function. UNIT12- Decision Trees in Data Science Reference No : J/650/4961 Credit : 3 || TQT : 30 This unit offers an introductory exploration of decision trees' fundamental theory and practical application. It elucidates the process of constructing basic classification trees employing the standard ID3 decision-tree construction algorithm, including the node-splitting criteria based on information theory principles such as Entropy and Information Gain. Additionally, learners will gain hands-on experience in building and assessing decision tree models using Python. UNIT13- K-means clustering in Data Science Reference No : K/650/4962 Credit : 3 || TQT : 30 This unit initiates learners into unsupervised machine learning, focusing on the k-means clustering algorithm. It aims to give learners an intuitive understanding of the k-means clustering method and equip them with the skills to determine the optimal number of clusters. UNIT14- Synthetic Data for Privacy and Security in Data Science Reference No : L/650/4963 Credit : 6 || TQT : 60 This unit is designed to introduce learners to the emerging field of data science, specifically focusing on synthetic data and its applications in enhancing data privacy and security. UNIT15- Graphs and Graph Data Science Reference No : M/650/4964 Credit : 6 || TQT : 60 This unit offers a beginner-friendly introduction to graph theory, a foundational concept that underlies modern graph databases and graph analytics. 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.

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