1203 Coding courses

Code Your Own Drawing Application in Android Studio is an innovative course designed for aspiring developers and tech enthusiasts. This educational journey begins with an engaging introduction to creating a user interface (UI) and Paint View in Android Studio, setting the stage for a hands-on experience in app development. The course is structured to ignite your creativity and technical prowess, guiding you through the intricacies of building a functional drawing application from scratch. As you progress, you'll be immersed in the practical aspects of app design, learning to integrate key features that enhance user interaction and experience. This course offers a unique blend of artistic expression and technical skill, making it an ideal choice for those looking to combine their creative flair with coding expertise. Moving on to Module 02, the focus shifts to refining the Paint View Class, where you'll delve into the more technical aspects of application development. You'll learn how to seamlessly incorporate features like brush size and colour adjustments, essential for a comprehensive drawing app. Module 03 brings an exciting challenge: adding functionality to clear drawings and customize brush features, ensuring a user-friendly and versatile application. This course is not just about coding; it's about bringing an idea to life, culminating in a fully functional drawing application that you can proudly showcase in your portfolio. Learning Outcomes Master the basics of Android Studio, focusing on UI and Paint View development. Gain expertise in refining and managing the Paint View Class. Learn to implement essential features like brush size and colour adjustments. Develop skills to incorporate clear drawing functionality in the app. Complete a fully functional drawing application for a professional portfolio. Why choose this Code Your Own Drawing Application in Android Studio course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Code Your Own Drawing Application in Android Studio course for? Budding app developers keen on learning Android Studio. Creative individuals interested in combining art with technology. Computer science students looking to expand their programming skills. Hobbyists seeking to create their own digital drawing tools. Tech enthusiasts eager to explore app development in a hands-on manner. Career path Android App Developer - £25,000 to £50,000 Mobile Application Designer - £22,000 to £40,000 UI/UX Designer - £24,000 to £45,000 Software Engineer - £30,000 to £60,000 Creative Technologist - £28,000 to £50,000 Application Development Consultant - £35,000 to £55,000 Prerequisites This Code Your Own Drawing Application in Android Studio does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Drawing Application in Android Studio Module 01: Android Studio Drawing App Course, Creating UI and Paint View 00:32:00 Module 02: Finishing the Paint View Class 00:26:00 Module 03: Clear Drawing, Brush Size and Brush Colour Features 00:29:00 Assignment Assignment - Code Your Own Drawing Application in Android Studio 00:00:00

This course is a perfect supplement for ML enthusiasts. If you are only just beginning your adventures in machine learning and want to know the basics of statistics and regression used for machine learning, then go for it. Discover how you can level up and gain confidence to implement statistical methods and regression in machine learning with Python.

Overview Learn how to speak the language of computers and become a coding expert, with the Diploma in Front-End Web Development (HTML, CSS, & Bootstrap) course. This introductory coding course will help you save time and money by learning how to build your own website from scratch, without professional help. You will learn how to create apps and games, step into the mind of a web developer, and speak the language that powers the web! Build your expertise and proficiency in HTML, CSS and JavaScript and go from beginner to expert in no time, with this complete step-by-step coding course. Why buy this Diploma in Front-End Web Development (HTML, CSS, & Bootstrap)? 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 Diploma in Front-End Web Development (HTML, CSS, & Bootstrap) you will be able to take the MCQ test that will assess your knowledge. 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 Diploma in Front-End Web Development (HTML, CSS, & Bootstrap) does not require you to have any prior qualifications or experience. You can just enrol and start learning.  Prerequisites This Diploma in Front-End Web Development (HTML, CSS, & Bootstrap) 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 Diploma in Front-End Web Development (HTML, CSS, & Bootstrap) is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Diploma in Front-End Web Development (HTML, CSS, & Bootstrap) Welcome 1.1 Intro 00:03:00 1.2 Install the Tools and Get Started 00:05:00 HTML 5 2.1 Intro to HTML 00:01:00 2.2 What is HTML 00:11:00 2.3 Start a New HTML File & Use Tags 00:12:00 2.4 Header Tags 00:05:00 2.5 Edit Text 00:09:00 2.6 Links 00:09:00 2.7 Images 00:10:00 2.8 Lists 00:04:00 2.9 Challenge 00:16:00 2.10 HTML Outro 00:01:00 CSS 3 3.1 CSS Intro 00:04:00 3.2 Add CSS Styles 00:16:00 3.3 Classes and IDs 00:07:00 3.4 Borders 00:06:00 3.5 Sizing 00:04:00 3.6 Padding and Margin 00:07:00 3.7 Text Styles 00:04:00 3.8 DIVs 00:08:00 3.9 Postioning 00:08:00 3.10 Hover 00:03:00 3.11 Easily Center Elements 00:02:00 3.12 Fonts 00:06:00 3.13 Challenge 00:23:00 3.14 CSS Outro 00:01:00 Bootstrap 4.1 Intro to Bootstrap 00:02:00 4.2 Install Bootstrap 00:10:00 4.3 Indenting and Containers 00:07:00 4.4 The Grid System 00:16:00 4.5 Images 00:07:00 4.6 Buttons 00:06:00 4.7 Challenge 00:11:00 4.8 Bootstrap Outro 00:01:00 Project 1 - Design a Landing Page 5.1 Landing Page Intro 00:01:00 5.2 Sketch Your Landing Page 00:05:00 5.3 The Top Section 00:16:00 5.4 Polish the Top Section 00:06:00 5.5 Adding Images 00:11:00 5.6 The Main Points Section 00:14:00 5.7 Collecting Emails With an Opt-In Form 00:11:00 5.8 Challenge 00:03:00 5.9 Landing Page Outro 00:02:00 6.1 Business Site Intro 00:01:00 6.2 Sketch Up 00:03:00 6.3 Using Fancy Font Logo 00:07:00 6.4 Carousel Basics 00:10:00 6.5 Carousel Extras 00:09:00 6.6 Text on Images 00:15:00 6.7 Phone Number Icon 00:04:00 6.8 Google Maps 00:13:00 6.9 Font Awesome 00:09:00 6.10 Challenge 00:08:00 6.11 Business Site Outro 00:01:00 Project 2 - Business Website 7.1 Intro 00:01:00 7.2 Portfolio Sketch 00:08:00 7.3 Jumbotron 00:10:00 7.4 Nav Bar 00:24:00 7.5 Panels 00:11:00 7.6 Challenge 00:13:00 7.7 Portfolio Outre 00:01:00 Project 3 - Portfolio 8.1 Hosting 00:01:00 8.2 Bluehost 00:06:00 8.3 Uploading 00:05:00 8.4 Tips 00:11:00 8.5 Hosting Outro 00:01:00

Get started with Neural networks and understand the underlying concepts of Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks. This hands-on course will help you understand deep learning in detail with no prior coding or programming experience required.

Take the initial steps toward a successful long-term career by studying the IT package online with StudyHub through our online learning platform. After completing extensive research, we designed this customised IT course to ease your journey toward your goal. The IT course covers all of the latest information to keep you ahead of the job market and prepare you for the next step. The IT bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass. This IT Training Bundle consists the following career oriented courses: Course 01: IT Support Technician Course 02: Network Security and Risk Management Course 03: CompTIA Network Course 04: Information Management Course 05: Web Application Penetration Testing Course Course 06: CompTIA Cloud+ (CV0-002) Course 07: Learn Ethical Hacking From A-Z: Beginner To Expert Course 08: Computer Operating System and Troubleshooting Course 09: Building Your Own Computer Course Course 10: It: Ethical Hacking, IT Security and IT Cyber Attacking Course 11: SQL Database Administrator Course 12: MS Word Essentials - The Complete Word Course - Level 3 Course 13: Data Protection (GDPR) Practitioner Course 14: Website Hacking From Scratch Course 15: Diploma in Front-End Web Development (HTML, CSS, & Bootstrap) Course 16: Data Science and Visualisation with Machine Learning Course 17: SQL For Data Analytics & Database Development Course 18: PLC Programming Diploma Course 19: Cyber Security Incident Handling and Incident Response Course 20: Cyber Security Law Course 21: C# (C-Sharp) Course 22: Web Design (HTML, CSS, Bootstrap) Complete Course Course 23: Python Course Course 24: JavaScript Course 25: ASP.Net MVC and Entity Framework Course Course 26: Learn Spring & Angular Material with a Full Web Application Course 27: Coding Essentials - Javascript, ASP. Net, C# - Bonus HTML Course 28: Project on Deep Learning - Artificial Neural Network (ANNs) Course 29: Build Progressive Web Apps with Angular Course 30: Microsoft SQL Server Development for Everyone! Course 31: Building Big Data Pipelines with PySpark MongoDB and Bokeh Course 32: Microsoft Azure Machine Learning Course 33: Linux Basics Course 34: Linux File Management System Course 35: C Programming Language for Beginners on Linux Course 36: Linux Security and Hardening Course 37: Linux Shell Scripting Course 38: Learn Ethical Hacking From A-Z: Beginner To Expert Course 39: Securing an Ubuntu Linux Server against Hackers Masterclass Course 40: Python 3 Programming The IT Training Bundle has been prepared by focusing largely on career readiness. The IT course has been prepared by focusing largely on career readiness. It has been designed by our IT 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 with IT, if it's required by any learners. Certification After studying the complete training, you will be able to participate in the course assessment, which is included in the course. After completing the assessment, you can claim all courses pdf certificates for free. Hard Copy certificates need to be ordered at an additional cost of •8. CPD 400 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This IT Training course is suitable for - Students Recent graduates Job Seekers further progress towards NCFE Level 3 Diploma in Skills for Business: IT Requirements There is no formal qualification needed for this IT Training course. Career path You will be able to achieve a lucrative career because this IT Training Bundle includes various courses as a bonus. Certificates Certificate of completion Digital certificate - Included

Get ready for an exceptional online learning experience with the Python, Data Science, Machine Learning, Data Mining & Cyber Security bundle! This carefully curated collection of 20 premium courses is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations. This Python, Data Science, Machine Learning, Data Mining & Cyber Security is a dynamic package, blending the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. Whether you're looking to break into a new field or deepen your existing knowledge, the Python & Data Science package has something for everyone. As part of the Python, Data Science, Machine Learning, Data Mining & Cyber Security package, you will receive complimentary PDF certificates for all courses in Python & Data Science bundle at no extra cost. Equip yourself with the Python & Data Science bundle to confidently navigate your career path or personal development journey. Enrol our Python & Data Science bundletoday and start your career growth! ThisBundle Comprises the Following CPD Accredited Courses: Python Programming: Beginner To Expert Data Science & Machine Learning with Python Coding with Python 3 Introduction to Coding With HTML, CSS, & Javascript Python for Spatial Analysis in ArcGIS Python Programming Bible | Networking, GUI, Email, XML, CGI Business Intelligence and Data Mining SQL for Data Science, Data Analytics and Data Visualization Python Data Science with Numpy, Pandas and Matplotlib Cloud Computing / CompTIA Cloud+ (CV0-002) Cyber Security Awareness Training Learn Ethical Hacking From A-Z: Beginner To Expert Easy to Advanced Data Structures R Programming for Data Science GDPR UK Training Career Development Plan Fundamentals CV Writing and Job Searching Learn to Level Up Your Leadership Networking Skills for Personal Success Ace Your Presentations: Public Speaking Masterclass Learning Outcome: By completing the course, you will: Gain comprehensive insights into multiple fields. Foster critical thinking and problem-solving skills across various disciplines. Understand industry trends and best practices through the Python & Data Science Bundle. Develop practical skills applicable to real-world situations. Enhance personal and professional growth with the Python & Data Science Bundle. Build a strong knowledge base in your chosen course via the Python & Data Science Bundle. Benefit from the flexibility and convenience of online learning. With the Python & Data Science package, validate your learning with a CPD certificate. Each course in this bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. Embrace the future of learning with the Python, Data Science, Machine Learning, Data Mining & Cyber Security , a rich anthology of 15 diverse courses. Each course in the Python & Data Science bundle is handpicked by our experts to ensure a wide spectrum of learning opportunities. This Python, Data Science, Machine Learning, Data Mining & Cyber Security bundle will take you on a unique and enriching educational journey. The bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the Python, Data Science, Machine Learning, Data Mining & Cyber Security bundle offers you the flexibility and convenience to learn at your own pace. Make the Python & Data Science package your trusted companion in your lifelong learning journey. CPD 200 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Python, Data Science, Machine Learning, Data Mining & Cyber Security bundle is perfect for: Lifelong learners looking to expand their knowledge and skills. Professionals seeking to enhance their career with CPD certification. Individuals wanting to explore new fields and disciplines. Anyone who values flexible, self-paced learning from the comfort of home. Requirements Without any formal requirements, you can delightfully enrol this Python, Data Science, Machine Learning, Data Mining & Cyber Security course. Career path Unleash your potential with the Python, Data Science, Machine Learning, Data Mining & Cyber Security bundle. Acquire versatile skills across multiple fields, foster problem-solving abilities, and stay ahead of industry trends. Ideal for those seeking career advancement, a new professional path, or personal growth. Embrace the journey with the Python & Data Science bundle package. Certificates Certificate Of Completion Hard copy certificate - Included You will get a complimentary Hard Copy Certificate. Certificate Of Completion Digital certificate - Included

Highlights of the Course Course Type: Online Learning Duration: 1 to 2 hours Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about PCB design Understand the core competencies and principles of PCB design Explore the various areas of PCB design Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert PCB designer PIC Microcontroller: Make an Electronic Door Lock System Course Online Master the skills you need to propel your career forward in electronic door lock system making. This course will equip you with the essential knowledge and skillset that will make you a confident electronic engineer and take your career to the next level. This comprehensive PIC microcontroller course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this PIC microcontroller course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective electronic door lock system making practice and equip you with the essential skills, confidence and competence to assist you in the electronic door lock system making industry. You'll gain a solid understanding of the core competencies required to drive a successful career in electronic door lock system making. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for electronic engineer or for people who are aspiring to specialise in electronic door lock system making. Enrol in this PIC microcontroller course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive PIC microcontroller course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this electronic door lock system making can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This PIC microcontroller course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This PIC microcontroller course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This PIC microcontroller course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Introduction Introduction 00:03:00 Who We Are 00:05:00 Very Important Note: Review Process 00:03:00 Quick Overview 00:06:00 Software For Coding and Simulation Software For Coding and Simulation 00:07:00 Serial Communication Serial Port On PIC Microcontroller 00:02:00 Schematic Diagram Schematic Diagram 00:05:00 More about Schematics Diagram 00:03:00 Programming Code Programming Code 00:03:00 Programming Code Explained 00:09:00 The End The End 00:01:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

This course gives you an introduction to Node.js in a practical way. You'll quickly learn the basics of Node.js and understand how to write Node code for faster development.

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.

Embark on a transformative journey into the realm of app creation with our course, 'Master the Basics of Microsoft Power Apps.' Unleash your creativity and empower yourself to build dynamic, functional apps without the need for complex coding. The course begins with a seamless introduction to Power Apps, guiding you through the process of creating a data source in Excel and crafting your very own app. Dive into the intricacies of app previewing, tree view navigation, and property editing, gaining the confidence to shape your digital ideas into reality. With lessons on actions, screen insertion, and app distribution, this course ensures you master the fundamentals of Power Apps effortlessly. Whether you're a budding entrepreneur, a tech enthusiast, or someone with a passion for innovation, this course is your gateway to app development excellence. Learning Outcomes Gain a solid understanding of Microsoft Power Apps, from setup to app creation. Create and manage data sources seamlessly using Excel, enhancing your app's functionality. Navigate through the app creation process, mastering features like tree view and property editing. Develop the skills to insert new items, screens, and define actions for a dynamic user experience. Learn how to save, distribute, and even adapt your app for mobile usage, ensuring its accessibility across platforms. Why choose this Master the Basics of Microsoft Power Apps course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Master the Basics of Microsoft Power Apps course for? Aspiring entrepreneurs looking to create their own apps without extensive coding. Individuals interested in exploring the world of app development in a user-friendly environment. Small business owners seeking cost-effective solutions for digital tools. Students and beginners in tech eager to delve into app creation. Innovators and dreamers with ideas waiting to be turned into functional applications. Career path App Developer: £30,000 - £50,000 Business Solutions Analyst: £35,000 - £55,000 Entrepreneur/Startup Founder: Earnings vary based on business success Digital Innovation Specialist: £35,000 - £55,000 IT Consultant: £40,000 - £60,000 Technology Solutions Architect: £45,000 - £70,000 Prerequisites This Master the Basics of Microsoft Power Apps does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Master the Basics of Microsoft Power Apps 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Master The Basics Of Microsoft Power Apps Lesson 01: Get Power Apps 00:05:00 Lesson 02: Create Excel Data Source 00:02:00 Lesson 03: Creating the App 00:02:00 Lesson 04: Previewing the App 00:06:00 Lesson 05: Tree View 00:03:00 Lesson 06: Edit Properties 00:04:00 Lesson 07: Insert New Item 00:03:00 Lesson 08: Insert New Screen 00:04:00 Lesson 09: Actions 00:08:00 Lesson 10: Additional Options 00:01:00 Lesson 11: Save and Distribute the App 00:04:00 Lesson 12: Mobile App 00:02:00