370 Courses

>> 12-Hour Knowledge Knockdown! Prices Reduced Like Never Before << In the era of big data, the demand for skilled data science professionals has skyrocketed in the UK. According to a recent report, the data science job market in the UK is expected to grow by over 25% by 2026. Aside from that, Candidates with data science skills have a 96% employment rate and can earn on average £40,000 per year. Our Complete Data Science bundle is about to take you on a tour starting from the beginning. This CCTV Operator Training Bundle Contains 4 of Our Premium Courses for One Discounted Price: Course 01: Complete Data Science Course 02: Data Science with Python Course 03: Information Management Course 04: GDPR Data Protection Take our Complete Data Science Bundle to learn how to maximise your potential and climb your chosen professional ladder. By participating in these popular courses, you can learn the fundamentals of Python. Discover Python data types. Loops, list comprehension, functions, lambda expressions, maps, and filters should all be taught. Learn about the numpy. Indexing, slicing, broadcasting, and boolean masking are all covered in our Complete Data Science course. Recognise arithmetic and universal functions. Discover everything there is to know about pandas. Learn how to use Python to become an expert in data analysis and visualisation. Learning Outcomes of Data Science Develop a comprehensive understanding of the data science lifecycle. Master data analysis techniques and Python programming for data manipulation. Gain proficiency in information management and data organization strategies. Understand data protection regulations, including GDPR, and their implications. Learn to build robust data-driven applications and predictive models. Enhance data visualization skills for effective communication of insights. Invest in your future by enrolling today and gain a competitive edge in the rapidly evolving field of data science. Why Choose Our Data Science bund;e? Get a Free CPD Accredited Certificate upon completion of Data Science Get a free student ID card with Data Science Training The Data Science is affordable and simple to understand Lifetime access to the Data Science course materials The Data Science comes with 24/7 tutor support Start your learning journey straightaway! *** Course Curriculum *** Course 01: Complete Data Science Welcome, Course Introduction & overview, and Environment set-up Python Essentials Python for Data Analysis using NumPy Python for Data Analysis using Pandas Python for Data Visualization using matplotlib Python for Data Visualization using Seaborn Python for Data Visualization using pandas Python for interactive & geographical plotting using Plotly and Cufflinks Capstone Project - Python for Data Analysis & Visualization Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Python for Machine Learning - scikit-learn - Logistic Regression Model Python for Machine Learning - scikit-learn - K Nearest Neighbors Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Python for Machine Learning - scikit-learn - Support Vector Machines (SVMs) Python for Machine Learning - scikit-learn - K Means Clustering Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Recommender Systems - (Additional Topic) Natural Language Processing (NLP) - NLTK - (Additional Topic) Course 02: Data Science with Python Unit 01: Introduction To Python Data Science Unit 02: Data Cleaning Packages Unit 03: Data Visualization Packages Course 03: Information Management Module 01: Introduction To Information Management Module 02: Information Management Strategy Module 03: Databases And Information Management Module 04: Management Information Systems (MIS) Module 05: Auditing Information Systems Module 06: Ethical And Social Issues And Data Protection Course 04: GDPR Data Protection Module 01: Basics Of GDPR Module 02: Principles Of GDPR Module 03: Legal Foundation For Processing Module 04: Rights Of Individuals Module 05: Accountability And Governance Module 06: Data Protection Officer Module 07: Security Of Data Module 08: Personal Data Breaches Module 09: International Data Transfers After The Brexit Module 10: Exemptions - Part One and much more... How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*4 = £51) CPD Hard Copy Certificate: £29.99 (Each) CPD 40 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Data Science bundle is suitable for everyone. This bundle is ideal for: Data scientist Data analyst-statistician CSE Students Interns App Developer Coders' Requirements You will not need any prior background or expertise to enrol in this Data Science bundle. Career path This Data Science Training bundle will allow you to kickstart or take your career in the related sector to the next stage. Data Analyst Data Scientist Business Analyst Marketing Analyst Data Engineer Certificates CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. CPD Accredited Hard Copy Certificate Hard copy certificate - £29 Please note that International students have to pay an additional £10 as a shipment fee.

Learning Outcomes Learn the basics of Python and the simple Python syntax Acquire in-depth knowledge of different data types Know more about various number types Enhance your understanding of functions objects and variadic functions Increase your skills in lambda, generators, classes and many more Equip yourself with the necessary skills in Python and launch your career as a programmer Description Python is one of the most popular programming languages all over the globe, including in the UK. So, whether you want to be a web developer or a software engineer, without having excellent expertise in Python you can not thrive in your respective field. Are you worried to start from the beginning? Then don't worry, the Python 3 for Beginners course will educate you on basic-level Python programming. This course will provide you with a detailed understanding of Python language. In this comprehensive training, you will learn about different data types and simple Python syntax. The course will also educate you on functions objects and variadic functions. Furthermore, you will grasp a clear understanding of object initialization, lambda and much more. Therefore, sign up for our most user-friendly, easy-to-digest and flexible course and complete it to get the CPD- certificate of achievement. This certificate will help you grab the attention of employers. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post. Method of Assessment When you are done with your learning, you will get some assessment questions that need to pass with a score of 60%. After submitting the assessment, you will immediately receive feedback from our experts.  Career path After completing this course, you will get the chance to explore jobs in the following fields: Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst

Unlock the power of data-driven decision-making with our Business Intelligence Analyst Course. Gain essential skills in data analysis, visualization, and interpretation to extract valuable insights for business growth. Whether you're a seasoned professional or new to the field, this course provides comprehensive training in business intelligence tools and techniques. Enroll now and become proficient in transforming raw data into actionable intelligence, empowering organizations to make informed strategic decisions.

The popularity of Augmented Reality (AR) technology has escalated due to its use by market leaders like Microsoft, Apple, Google, Facebook, and Amazon. It is now a billion pounds worth of market and is considered to be the next big thing in technological evolution. Want to learn how to meld the real with the virtual? Then take a step toward developing knowledge and skills that will drive your career forward and get ahead of the curve! This Diploma In Augmented Reality at QLS Level 4 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 120 CPD points) to make your skill development & career progression more accessible than ever! This course is designed to break the complex AR concepts while also teaching the various scopes of Augmented Reality in education, business, medicine, military, scientific, industrial, and governmental policies. This course incorporates the use of Augmented Reality (AR) technologies to improve the education system and provide the experience of hands-on learning. In the same way, with the help of this Augmented Reality (AR) course, you will demonstrate an understanding of the possibilities of AR in business to fast-paced business operations as well as improve customer interactions to make better purchase decisions. Likewise, this Augmented Reality (AR) course will develop your perception of the applications of technology in the medical field as well as how governments can use such engineering for the welfare of the country and economy. Last but not least, this Augmented Reality (AR) course will prepare you to assess the future of AR and various career paths relating to it. This Augmented Reality (AR) training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence! What will you learn? An Overview of Augmented Reality The scope of AR in education and business The Application of AR in the medical field Military, Scientific, Industrial, and Government purposes How to plan and create projects Analyse and evaluate the future Nano-scale technology Uses of AR in the human body Get Additional Courses as Gifts Diploma in Python Programming Take a step toward a brighter future! Why Prefer This Augmented Reality (AR) Course? Opportunity to earn certificate a certificate endorsed by the Quality Licence Scheme & another accredited by CPDQS. Get a free student ID card! (£10 postal charge will be applicable for international delivery) Innovative and engaging content. Free assessments 24/7 tutor support. *** Course Curriculum *** Here is the curriculum breakdown of the course: Module 01: Introduction Module 02: Application in Education Module 03: Application in Business Module 04: Application in Medicine Module 05: Other Key Applications Module 06: Assessing the Future Assessment Process You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. After passing the Diploma In Augmented Reality at QLS Level 4 exam, you will be able to request a certificate at an additional cost that has been endorsed by the Quality Licence Scheme. CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is open to everyone of all academic backgrounds. However, this Augmented Reality course is mostly preferable by: Computer programming students interested in C# programming Anyone who wants to develop Applications Anyone interested to learn about new skills to comply with the evolving industry Career path Enrolling on this course can lead you to the following career paths: Content Developer Content Strategist User Experience Designer Designer, Animator or Sound Artist AR Community Manager AR Project Manager And many more! Certificates Certificate Accredited by CPDQS Digital certificate - £10 Diploma in Augmented Reality at QLS Level 4 Hard copy certificate - £99 Show off Your New Skills With a Certificate of Completion After completing the Diploma in Augmented Reality at QLS Level 4, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 99 GBP inside the UK 109 GBP (including postal fees) for international delivery Certificate Accredited by CPDQS Upon finishing the Augmented Reality course, you need to order to receive a Certificate Accredited by CPDQS that is recognised all over the UK and also internationally. The pricing schemes are - 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (international delivery)

In this course, you will be learning one of the widely used deep learning frameworks, that is, PyTorch, and learn the basics of convolutional neural networks in PyTorch. We will also cover the basics of Python and understand how to implement different Python libraries.

CPD Certified | 17-in-1 Diploma Bundle | 170 CPD Points | Free PDF & Transcript Certificate | Lifetime Access

Transform Your Career with Our IT: Data Analysis, Data Science & Data Protection Program - an all-in-one Program Designed for Mastery! Do you know the demand for IT professionals with expertise in data science is skyrocketing? This Ultimate IT: Data Analysis, Data Science & Data Protection Program is your gateway to a thriving career in this dynamic industry. This program is meticulously designed to equip you with the knowledge and skills demanded by hiring managers across various sectors. By enrolling in this IT: Data Analysis, Data Science & Data Protection program, you'll embark on a journey that opens doors to exciting opportunities and empowers you to shape your future in the IT industry. Our IT: Data Analysis, Data Science & Data Protection program will give you a comprehensive understanding of data analysis, from data collection and preparation to data visualisation and communication. You will be equipped with the necessary skills and guidance to uncover insights from data, solve real-world problems, and make informed decisions. Also, you will discover the ethical and legal implications of data handling, how to protect sensitive information & develop a career in this sector. Moreover, we're your dedicated partners on this exciting journey. Our goal isn't just to teach you; it's to support you 24/7 so you can get closer to your dream job. We're so confident with our program that we offer a 100% money-back guarantee, ensuring your complete satisfaction. Learning Outcomes By completing this IT: Data Analysis, Data Science & Data Protection program, you will gain expertise in the following: Data analysis techniques and methodologies. Python programming for data analysis. Business intelligence and data mining. Advanced Excel techniques, including VBA and Power Query. SQL programming and big data technologies. Data Science & Data Protection, Machine Learning with Python and R. Data visualisation with tools like Tableau and Power BI. Statistics and probability for data science. Effective career development and job-seeking skills. Design an engaging resume and excel in the job search. Succeed in interviews, including video interviews. Build a strong LinkedIn profile to connect with professionals and enhance your online visibility in IT: Data Analysis- Data Science & Data Protection field. Courses Included in the Program You get 25 in-demand courses once you enrol in our IT: Data Analysis, Data Science & Data Protection program. => Course 01: Introduction to Data Analysis => Course 02: Data Analytics => Course 03: Python for Data Analysis => Course 04: Basic Google Data Studio => Course 05: Business Intelligence and Data Mining Masterclass => Course 06: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query => Course 07: SQL Programming Masterclass => Course 08: SQL NoSQL Big Data and Hadoop => Course 09: Data Science & Machine Learning with Python => Course 10: Machine Learning with Python => Course 11: Data Science & Machine Learning with R => Course 12: Data Analytics with Tableau => Course 13: Develop Big Data Pipelines with R & Sparklyr & Tableau => Course 14: Complete Introduction to Business Data Analysis Level 3 => Course 15: Data Analysis in Microsoft Excel Complete Training => Course 16: Excel Data Analysis for Beginner => Course 17: GDPR Data Protection Level 5 => Course 18: Master JavaScript with Data Visualization => Course 19: Data Visualization and Reporting with Power BI => Course 20: Statistics & Probability for Data Science & Machine Learning => Course 21: Career Development Plan Fundamentals => Course 22: CV Writing and Job Searching => Course 23: Interview Skills: Ace the Interview => Course 24: Video Job Interview for Job Seekers => Course 25: How to Create a Professional LinkedIn Profile Enrol in our highly regarded IT: Data Analysis, Data Science & Data Protection program, featuring a job-relevant curriculum that ensures your skills align with employer expectations across various sectors. Don't miss this opportunity - your success story starts now! Our IT: Data Analysis, Data Science & Data Protection Program is a comprehensive and industry-relevant journey through data analysis, data science, and IT analytics. With a focus on providing theoretical knowledge and academic depth, this program is your gateway to a promising career in IT: Data Analysis, Data Science & Data Protection sector. Why Choose Us? We take great pride in offering you a great learning experience that stands out. When you consider enrolling in our IT: Data Analysis, Data Science & Data Protection program, you're making a decision that will positively impact your career and knowledge in various aspects related to IT: Data Analysis, Data Science & Data Protection. Here's why choosing us is a smart choice: Updated Materials: We're committed to providing the most up-to-date learning materials. Our dedicated team continuously reviews and updates our content, ensuring you're always learning from the latest sources. When you choose us, you select the most current and relevant information, giving you the edge in your IT career. Flexible Timing: We understand that life can get busy, and you may have existing commitments that can make pursuing further education challenging. That's why we offer flexibility in your study schedule. With our courses, you can learn at your own pace, on your terms. You're in control and can adjust your learning to fit your life. No Hidden Cost: When choosing our program, you won't incur additional expenses. The certification and course materials are all-inclusive within the program's price. You can focus on your studies without worrying about hidden fees. Money-Back Guarantee: Your satisfaction is our top priority. We're so confident in the quality of our courses that we back them up with a 14-day money-back guarantee. We'll refund your investment if you're unsatisfied with your learning experience. Lifetime Access: When you choose to learn with us, you gain access to a course and a lifetime of knowledge. We offer lifetime access to our course materials, allowing you to revisit and refresh your knowledge whenever you need. 24/7 Support: Learning doesn't just happen during traditional working hours; neither should support. Our commitment to your success extends beyond the classroom. We provide 24/7 support, so you can contact us with your questions and concerns anytime. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This IT: Data Analysis, Data Science & Data Protection program is suitable for: Aspiring IT: Data Analysis, Data Science & Data Protection professionals. Students and recent graduates looking to enter the field. Career changers interested in data analytics. Security professionals seeking to upskill in data security. Anyone interested in learning about IT: Data Analysis, Data Science & Data Protection. Requirements No prior experience is required in our IT: Data Analysis, Data Science & Data Protection program. Career path Upon completing the program, you'll get edges in various IT: Data Analysis, data science & data protection-related jobs including: Data Analyst: £25,000 - £45,000 Business Intelligence Analyst: £30,000 - £50,000 Data Scientist: £35,000 - £60,000 Machine Learning Engineer: £40,000 - £70,000 SQL Developer: £30,000 - £55,000 Tableau Developer: £35,000 - £60,000 Power BI Developer: £35,000 - £60,000 Certificates CPD Accredited (e-Certificate) Digital certificate - Included CPD Accredited (Hard Copy Certificate) Hard copy certificate - Included e-Transcript Digital certificate - Included Hard Copy Transcript Hard copy certificate - Included Student ID Card Digital certificate - Included

[vc_row][vc_column][vc_column_text] Description: With the world reaching higher level digitisation day by day, object-oriented (OO) programming is very much on the rise. One of the most highly used OO programming languages is Python. With this Python 3 for Beginners course, you will delve into the world of OO coding and fast-track your career in computer science. This Python 3 course is a guide on how to get started in learning Python, illustrating the benefits of learning Python 3 and how it can be utilised for data science. Web developers love Python because the syntax of the language is clean, and Python code length is relatively short. Working in Python allows you to analyse data rather than focus on the syntax and make the most of its user-friendly data structures.Master programming in Python and discover the fastest and most effective way to learn Python programming language, with this introductory online course. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Python 3 for Beginners is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Python 3 for Beginners is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.[/vc_column_text][/vc_column][/vc_row] Module :01 Installing Python FREE 00:17:00 Documentation 00:30:00 Command Line 00:17:00 Variables 00:29:00 Simple Python Syntax 00:15:00 Keywords 00:18:00 Import Module 00:17:00 Additional Topics 00:23:00 Module :02 If Elif Else 00:31:00 Iterable 00:10:00 For 00:11:00 Loops 00:20:00 Execute 00:05:00 Exceptions 00:18:00 Data Types 00:24:00 Module :03 Number Types 00:28:00 More Number Types 00:13:00 Strings 00:20:00 More Strings 00:11:00 Files 00:08:00 Lists 00:15:00 Dictionaries 00:04:00 Tuples 00:07:00 Sets 00:09:00 Module :04 Comprehensions 00:10:00 Definitions 00:02:00 Functions 00:06:00 Default Arguments 00:06:00 Doc Strings 00:06:00 Variadic Functions 00:07:00 Factorial 00:07:00 Function Objects 00:07:00 Module :05 Lambda 00:11:00 Generators 00:06:00 Closures 00:10:00 Classes 00:09:00 Object Initialization 00:05:00 Class Static Members 00:07:00 Classic Inheritance 00:10:00 Data Hiding 00:07:00 Mock Exam Mock Exam- Python 3 for Beginners 00:20:00 Final Exam Final Exam- Python 3 for Beginners 00:20:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00

This course will teach you how to work with object recognition using a predefined dataset and how to create a custom dataset. The course will also teach you to train the You Only Look Once (YOLO) model to build a coronavirus detection model.

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.