2439 Programming courses

Duration 3 Days 18 CPD hours This course is intended for Application Consultant Business Analyst Business Process Architect Business Process Owner/Team Lead/Power User Developer Development Consultant Program/Project Manager Solution Architect Technology Consultant Overview This course will prepare you to: Understand the SAP Cloud Solution Understand the SAP Cloud Strategy Understand Java Development Understand development in SAP Cloud Classify and use the various Cloud Platform services Understand the various CP Services Explore the Internet of things Get an overview of SAP Cloud Platform, integration Service Understand Extensions of SAP Cloud Solutions This course will introduce and inform you about the vast potential of SAP Cloud Platform with hands-on exercises to dive into this open platform. SAP Cloud Platform, Introduction Introduce SAP Cloud Platform (SAP CP) Explain Landscape Architecture-Relevant Terms Learn about typical Use cases Explore What is in it: Product Capabilities and Services Platform Concepts Understand Basic Platform Concepts Explore Datacenters Understand Security Digital Transformation - Java Development Introduce Digital Transformation, Java Development Explore 12 Factor Microservices Use the Supported Java Development Environment Explain Supported Java Programming Models by CF Operate Java Applications on SAP Cloud Platform NEO Digital Transformation ? SAP HANA Development Understand SAP HANA Development Understand the SAP HANA XSA Development on CF Digital Transformation ? HTML5/SAPUI5/Fiori Development Introduce HTML5, SAPUI5, and Fiori Development Use SAP UI5 Use SAP Fiori Agile Business ? Extend Application Introduce Agile Business Understand the Application Frontend x-tend the Application: Backend Explore SAP Cloud Platform Data and Storage Services Enterprise Optimization ? Integration Services Introduce Enterprise Optimization, Integration Services Explore Available Integration Services Enterprise Optimization ? Process Integration Introduce SAP Cloud Platform, Integration Service Implement iFlows Enterprise Optimization ? API Explain API Management Build and Publish APIs Internet of Things Services (IoT) Explore the Internet of Things (IoT) Other Interesting Services and Features Explain SAP Cloud Platform SaaS Extensions Explore SAP Cloud Platform Business Services Explain Cloud Platform Data and Storage Understand SAP Cloud Platform Security

This interactive Angular Project course will enable you to build dynamic, responsive,& interactive web applications.

Overview This comprehensive course on Clinical Data Analysis with SAS will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Clinical Data Analysis with SAS comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Clinical Data Analysis with SAS. It is available to all students, of all academic backgrounds. Requirements Our Clinical Data Analysis with SAS is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 5 sections • 30 lectures • 01:54:00 total length •Course Promo: 00:01:00 •1.1 Components of the Pharma Industry: 00:05:00 •1.2 Phases of Clinical Trials: 00:06:00 •1.3 Data and Reports in Clinical Trials: 00:04:00 •1.4 Types of Data: 00:05:00 •2.1 Clinical Study Protocol: 00:02:00 •2.2 Ethical Consent: 00:01:00 •2.3 Inclusion-Exclusion Criteria: 00:01:00 •2.4 Statistical Analysis Plan: SAP, Mockshell and CRF: 00:04:00 •3.1 General SAS Programming Steps: 00:02:00 •3.2 One Search Report: Demographics Table: 00:04:00 •3.3 Understanding the Demographics Table: 00:03:00 •3.4 Programming the Demographics Table: 00:05:00 •3.5 Importing Raw Demographic Data into the SAS: 00:04:00 •3.6 Deciding what Procedure to Use: 00:02:00 •3.7 Deriving the AGE variable: 00:10:00 •3.8 Obtaining Summary Statistics for AGE: 00:04:00 •3.9 Adding the 3rd Treatment Group using Explicit Output: 00:05:00 •3.10 Deriving the SEX variable: 00:03:00 •3.11 Obtaining Summary Statistics for SEX: 00:03:00 •3.12 Concatenating the COUNT and PERCENT Variables: 00:03:00 •3.13 Deriving the RACE Variable: 00:03:00 •3.14 Obtaining Summary Statistics for RACE: 00:03:00 •3.15 Stacking All the 3 Summary Statistics Together: 00:06:00 •3.16 Fixing the Precision Points: 00:04:00 •3.17 Transposing Data: 00:03:00 •3.18 Fixing the Order of Statistical Parameters: 00:05:00 •3.19 Building the Final Report: 00:02:00 •3.20 Putting the Final Touches to the Report: 00:11:00 •Resources - Clinical Data Analysis with SAS: 00:00:00

Duration 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization including: Business Analysts, Data Analysts, Reporting and BI professionals Analytics professionals and Data Scientists who would like to learn Python Overview This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualization in Python. Mastery of these techniques and how to apply them to business problems will allow delegates to immediately add value in their workplace by extracting valuable insight from company data to allow better, data-driven decisions. Outcome: After attending this course, delegates will: Be able to write effective Python code Know how to access their data from a variety of sources using Python Know how to identify and fix data quality using Python Know how to manipulate data to create analysis ready data Know how to analyze and visualize data to drive data driven decisioning across your organization Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. From business questions to data analytics, and beyond For data analytics tasks to affect business decisions they must be driven by a business question. This section will formally outline how to move an analytics project through key phases of development from business question to business solution. Delegates will be able: to describe and understand the general analytics process. to describe and understand the different types of analytics can be used to derive data driven solutions to business to apply that knowledge to their business context Basic Python Programming Conventions This section will cover the basics of writing R programs. Topics covered will include: What is Python? Using Anaconda Writing Python programs Expressions and objects Functions and arguments Basic Python programming conventions Data Structures in Python This section will look at the basic data structures that Python uses and accessing data in Python. Topics covered will include: Vectors Arrays and matrices Factors Lists Data frames Loading .csv files into Python Connecting to External Data This section will look at loading data from other sources into Python. Topics covered will include: Loading .csv files into a pandas data frame Connecting to and loading data from a database into a panda data frame Data Manipulation in Python This section will look at how Python can be used to perform data manipulation operations to prepare datasets for analytics projects. Topics covered will include: Filtering data Deriving new fields Aggregating data Joining data sources Connecting to external data sources Descriptive Analytics and Basic Reporting in Python This section will explain how Python can be used to perform basic descriptive. Topics covered will include: Summary statistics Grouped summary statistics Using descriptive analytics to assess data quality Using descriptive analytics to created business report Using descriptive analytics to conduct exploratory analysis Statistical Analysis in Python This section will explain how Python can be used to created more interesting statistical analysis. Topics covered will include: Significance tests Correlation Linear regressions Using statistical output to create better business decisions. Data Visualisation in Python This section will explain how Python can be used to create effective charts and visualizations. Topics covered will include: Creating different chart types such as bar charts, box plots, histograms and line plots Formatting charts Best Practices Hints and Tips This section will go through some best practice considerations that should be adopted of you are applying Python in a business context.

Start Your Journey to Becoming a coder Today, and Make Up to •100,000 yearly The Future is Coding. The world is changing. The way we work is changing. And the skills we need to succeed are changing. In the future, coding will be essential. Whether you want to work in tech, business, or any other field, coding skills will give you a competitive edge. That's why we created the Coding Training - Career Mentoring & Support with Job Opportunity program. This program will teach you the skills you need to become a successful software developer. But it's not just about the coding. We also offer career mentoring and support. We'll help you develop your career goals, build your CV, and land your dream job. So what are you waiting for? The future is coding. And the future starts with us. Enrol Today! Our mission is simple: to be your trusted partner and assist you every step of the way until you land the job of your dreams. Why Choose Us Here's what makes our Coding Training Program stand out from the crowd: Personalised Job Search Assistance: We're in this together! Our dedicated team will work tirelessly to support your entire job searching process. From crafting a standout resume to submitting it to top companies, we'll ensure you have a compelling application that gets noticed. Expertly Crafted CV: Your resume is your ticket to the interview room. Our professional resume writers will create a customised CV highlighting your unique skills and experiences. This will maximise your chances of standing out among the competition. Strategic Placement: We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Coding field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and finesse. Comprehensive Skill Development: Our program is designed to equip you with the most sought-after skills in the coding sector. From mastering cutting-edge tools to honing your coding prowess, we'll ensure you have the knowledge and expertise to excel in any coding-driven environment. Ongoing Support: We understand that the journey to landing your dream job doesn't end with placement. That's why our commitment to your success extends well beyond your initial training. Our support team will be available to answer your questions, provide guidance, and assist you as you progress in your career. Here are the 6 courses we will provide once you enrol in the program: Course 01: Python 3 Programming Course 02: Coding with Scratch Course 03: Basic C# Coding Course 04: C++ Coding Masterclass Course 05: Introduction to Data Analysis Course 06: HTML and CSS Coding for Beginners and Kids These courses will help you to develop your knowledge and skills to become a successful coder. The Program is completed in 5 easy steps: Step 1 - Enrol in the program and start learning from the courses we provide After you enrol in this Coding Training Program, you will get lifetime access to 6 premium courses related to coding. These courses will teach you the knowledge and skills required to become a successful coding expert. Our customer service team will help you and keep in contact with you every step of the way. Step 2 - Complete your courses and get certifications After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks for the first course and 80% for the rest relevant courses. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject. Step 3 - Get a consultation session from a professional coder Take your coding skills to new heights with a one-on-one consultation session led by a seasoned professional. Gain invaluable insights, expert tips, and tailored advice that will propel your career forward. Step 4 - Complete the CV and attend the interview Once you've successfully obtained the certifications, our team of professionals will build you a compelling CV and LinkedIn profile. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. Kickstart your coding career with a starting salary ranging from •30,000 to •50,000 annually. Step into the coding industry with the assurance of a promising future. Step 5 - We will not leave you until you find a job Our commitment to your success goes above and beyond. We won't stop until you land that dream job. With personalised support, expert guidance, and unwavering dedication, we'll be by your side until you secure the perfect opportunity. Your job search becomes our mission, ensuring you have the best chance at a successful career in coding. Don't let your dream career as a coder remain out of reach. You just have to learn and gain knowledge and skills. Finding a job is our task! We will remove most of your worries and help you focus on only developing your skills. So join our Coding Training Program today, and let us be your trusted partner on your journey to success. CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Coding Training program is ideal for the following: Aspiring Coders: Individuals who have a passion for coding and are eager to embark on a career in the tech industry. Career Changers: Professionals from diverse backgrounds looking to transition into the world of coding and explore new opportunities. Recent Graduates: Graduates who want to enhance their job prospects and develop in-demand coding skills to kick-start their careers. Job Seekers: Individuals actively searching for employment in the tech sector and seeking the necessary training and support to secure a job. Tech Enthusiasts: Individuals with a strong interest in technology who want to expand their knowledge and skills in coding for personal or professional growth. NCFE LEVEL 3 CERTIFICATE IN CODING PRACTICES Requirements No experience required. Just enrol & start learning. Career path Our program paves the way for a successful career in coding. From beginner to professional, you'll gain essential skills, receive personalised mentoring, build a standout CV, and access exclusive job opportunities. Let us guide you towards a fulfilling and lucrative path in the ever-expanding tech industry. Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included Student ID Card Digital certificate - Included

The Oracle 11g PL/SQL Part 1 course will focus on giving you the best knowledge of coding and designing PL/SQL and SQL scripts. Initially, you'll learn how to start programming in Oracle PL/SQL. You'll understand the history of PL/SQL, installing Oracle Express Edition, connecting to Database, Relational Database, Oracle SQL in an easy-to-grasp method. This course includes mostly practical examples with explanations which makes it more valuable. Upon successful completion of this course, you can have the pleasure to code in PL/SQL which further help to boost your career. From beginners to expert learner can benefit from this course. So enrol today and see what else is in the Oracle 11g PL/SQL Part 1 course. What Will I Learn? Prepare your environment Work with Oracle database tools Understand and work with language features Work with the DECLARE clause Work with the BEGIN clause Work with the EXCEPTION clause Use explicit cursors Understand and use nested blocks Understand the difference between nested blocks and subprograms Requirements Familiarity with database and programming principles Who is the target audience? Application designers and developers Database administrators Business users and non-technical senior end users Introduction Introduction FREE 00:03:00 Preparing Your Environment Course Setup 00:37:00 Working with Oracle Database Tools Selecting the Appropriate Database Tool 00:31:00 Language Features Understanding PL/SQL 00:18:00 PL/SQL Blocks 00:15:00 Working with SQL Plus 00:11:00 The DECLARE Clause DECLARE Clause Objects 00:16:00 PL/SQL Available Data Types 00:17:00 Declaring Simple Data Types and Assignments 00:12:00 Declaring Complex Data Types and Assignments 00:11:00 Declaring Complex RowTypes and Assignments 00:07:00 Declaring Complex Tables 00:08:00 Declaring Complex Records 00:08:00 Creating and Declaring User-Defined Types 00:09:00 The BEGIN Clause What Can Be Included in the BEGIN Clause 00:07:00 Working with CHAR and VARCHAR2 Variables 00:08:00 Handling String Literals 00:08:00 Working with Numeric Variables 00:07:00 Working with Date Variables 00:06:00 Assigning and Using Boolean Variables 00:08:00 Using Comparison Operators 00:07:00 Using SQL Functions 00:06:00 SQL DML within PL/SQL 00:15:00 Using SELECT 00:07:00 Exceptions and Embedded SQL 00:11:00 Using Sequences 00:14:00 Logic Control and Branching 00:07:00 Using GOTO 00:06:00 Working with LOOPS 00:19:00 Creating and Using the Indefinite Loop 00:07:00 Creating and Using the Conditional Loop 00:08:00 Using Nested Loops 00:12:00 Using the If-Then-Else 00:19:00 Using the CASE Statement 00:18:00 The EXCEPTION Clause What Are the Types of Exceptions 00:06:00 Trapping Exceptions 00:06:00 Identify Exception Details 00:11:00 Creating User-Defined Exceptions 00:11:00 Using SQLCODE and SQLERRM Objects 00:09:00 Understand the Implicit Cursor 00:15:00 Creating User-Defined Events 00:12:00 Explicit Cursors Understanding the Concept and Purpose of Explicit Cursors 00:18:00 Learn about Cursor Attributes 00:10:00 Using the Continue Statement 00:06:00 Working with Updateable Cursors 00:19:00 Creating and Using Cursor Parameters 00:15:00 FOR...LOOP Cursors 00:07:00 Nested Blocks Understanding Nested Blocks 00:11:00 Difference between Global vs Local Objects and Exceptions 00:13:00 Declared Subprograms Subprograms: How They Differ from Nested Blocks 00:18:00 Conclusion Conclusion 00:04:00 Course Certification

Civil Engineering & Construction Management Training Package Details: Number of Courses: 30 Courses Accreditation: CPD Quality Standards Free Certificates:PDF: 30Hardcopy: 30 (Delivery Charge Applicable) Courses Access: Lifetime Instalment Payment Available --------------***------------- Civil Engineering Course 01: Read Construction & Structural Drawing Like Expert Course 02: Diploma in Construction Management Course 03: Quantity Surveyor Diploma Course 04: Building Surveyor Course 05: Land Surveying Course 06: Bricklaying Course 07: Construction Cost Estimation Diploma Course 08: Construction Estimation using RSMeans Course 09: Construction Cost Estimation Using Xactimate Course 10: Cost Estimation for Multiplex Building Using Xactimate Course 11: Property Law and Legislation Course 12: Construction Industry Scheme (CIS) Course 13: WELL Building Standard Course 14: LEED V4: Building Design and Construction Course 15: LEED V4 - Building Design and Construction Architecture & AutoCAD Course 01: Architectural Studies Course 02: AutoCAD Programming using C# with Windows Forms Course 03: CAD Design Course: Assemblies, Modelling And Civil Drawings Course 04: Autocad Electrical Design Course 05: Intermediate Solidworks Course Course 06: Solidworks Foundation Training Course 07: Interior Design Professional Diploma Course 08: Professional Interior Design & Construction Constraction Course 01: Construction Safety Course 02: Fire Safety | Online Course Course 03: Emergency First Aid and Incident Management at Work Course 04: RIDDOR Training Course 05: LOLER Training Course 06: COSHH Training and Safety - Level 2 Course 07: DSEAR Training Benefits you'll get from choosing Apex Learning for this Civil Engineering & Construction Management training: Pay once and get lifetime access Free e-Learning App for engaging reading materials & helpful assistance Certificates, student ID included in a one-time fee Free up your time - don't waste time and money travelling for classes Accessible, informative Civil Engineering & Construction Management modules designed by expert instructors Learn anytime, from anywhere Study from your computer, tablet or mobile device CPD accredited Civil Engineering & Construction Management courses - improve the chance of gaining professional skills CPD 305 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Civil Engineering & Construction Management bundle including- Students Graduates Job Seekers Job Holders Requirements No requirements to enrol this Civil Engineering & Construction Management course. Career path This Civil Engineering & Construction Management bundle will help you learn the necessary skills to explore opportunities such as- Structural Engineer £36,000 - £38,000 per annum Engineer £27,000 - £45,000 per annum Construction Engineer £3,000 - £45,000 per annum Engineer Surveyor £28,000 - £32,500 per annum Civil Engineer £29,000 - £38,000 per annum

The demand for structural engineers has increased in the UK in recent years. This is because millions of structures are being built worldwide every day. And these numbers will never decrease as we constantly need buildings like offices, houses, bridges, and schools; this list will continue. For those thinking of embarking upon a career in structural engineering, this ultimate career bundle will fill you in on everything you need to know about this buoyant industry and provide the necessary knowledge on how to gain your first big break. In the UK, on average, Structural Engineers earn around £38,000 - £55,000 per annum. So enrol in this course and take your next step towards a successful career! Package Details: Number of Courses: 30 Courses Accreditation: CPD Quality Standards Free Certificates:PDF: 30Hardcopy: 30 (Delivery Charge Applicable) Courses Access: Lifetime Instalment Payment Available Structural Engineering Related Courses Course 01: Read Construction & Structural Drawing Like Expert Course 02: Diploma in Construction Management Course 03: Quantity Surveyor Diploma Course 04: Building Surveyor Course 05: Land Surveying Course 06: Bricklaying Course 07: Construction Cost Estimation Diploma Course 08: Construction Estimation using RSMeans Course 09: Construction Cost Estimation Using Xactimate Course 10: Cost Estimation for Multiplex Building Using Xactimate Course 11: Property Law and Legislation Course 12: Construction Industry Scheme (CIS) Course 13: WELL Building Standard Course 14: LEED V4: Building Design and Construction Course 15: LEED V4 - Building Design and Construction Architecture & AutoCAD Related Courses Course 01: Architectural Studies Course 02: AutoCAD Programming using C# with Windows Forms Course 03: CAD Design Course: Assemblies, Modelling And Civil Drawings Course 04: Autocad Electrical Design Course 05: Intermediate Solidworks Course Course 06: Solidworks Foundation Training Course 07: Interior Design Professional Diploma Course 08: Professional Interior Design & Construction Constraction Safety Related Courses Course 01: Construction Safety Course 02: Fire Safety | Online Course Course 03: Emergency First Aid and Incident Management at Work Course 04: RIDDOR Training Course 05: LOLER Training Course 06: COSHH Training and Safety - Level 2 Course 07: DSEAR Training Benefits you'll get from choosing Apex Learning for this training: Pay once and get lifetime access Free e-Learning App for engaging reading materials & helpful assistance Certificates, student ID included in a one-time fee Free up your time - don't waste time and money travelling for classes Accessible, informative modules designed by expert instructors Learn anytime, from anywhere Study from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills CPD 305 CPD hours / points Accredited by CPD Quality Standards Career path This bundle will help you learn the necessary skills to explore opportunities such as- Structural Engineer £36,000 - £38,000 per annum Engineer £27,000 - £45,000 per annum Construction Engineer £3,000 - £45,000 per annum Engineer Surveyor £28,000 - £32,500 per annum Civil Engineer £29,000 - £38,000 per annum

Getting Started The QUALIFI Level 3 Diploma in Data Science aims to offer learners a comprehensive introduction to data science. This Level 3 Diploma provides a modern and all-encompassing overview of data science, artificial intelligence, and machine learning. It covers the evolution of artificial intelligence and machine learning from their beginnings in the late 1950s to the emergence of the "big data" era in the early 2000s. It extends to the current AI and machine learning applications, including the associated challenges. In addition to covering standard machine learning models like linear and logistic regression, decision trees, and k-means clustering, this diploma introduces learners to two emerging areas of data science: synthetic data and graph data science. Moreover, the diploma familiarizes learners with the landscape of data analysis and the relevant analytical tools. It includes introducing Python programming so learners can effectively analyse, explore, and visualize data and implement fundamental data science models. Key Benefits Acquire the essential mathematical and statistical knowledge necessary for conducting fundamental data analysis. Cultivate analytical and machine learning proficiency using Python. Foster a solid grasp of data and its related processes, encompassing data cleaning, data structuring, and data preparation for analysis and visualisation. Gain insight into the expansive data science landscape and ecosystem, including relational databases, graph databases, programming languages like Python, visualisation tools, and various analytical instruments. Develop expertise in comprehending the machine learning procedures, including the ability to discern which algorithms are suited for distinct problems and to navigate the steps involved in constructing, testing, and validating a model. Attain an understanding of contemporary and emerging facets of data science and their applicability to modern challenges Key Highlights This course module prepares learners for higher-level Data science positions through personal and professional development. We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximize future opportunities. Remember! The assessment for the Qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the Qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our qualified tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Upon completing the QUALIFI Level 3 Diploma in Data Science, learners can advance their studies or pursue employment opportunities. Data Analyst with an estimated average salary of £39,445 per annum Business Intelligence Analyst with an estimated average salary of £40,000 per annum Data entry specialist with an estimated average salary of £22,425 per annum Database Administrator with an estimated average salary of £44,185 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Time-constrained scenario-based assignments No examinations Entry Requirements The qualification has been intentionally designed to ensure accessibility without imposing artificial barriers that limit entry. To enrol in this qualification, applicants must be 18 years of age or older. Admittance to the qualification will be managed through centre-led registration processes, which may involve interviews or other appropriate procedures. Despite the presence of advanced mathematics and statistics in higher-level data science courses, encompassing subjects such as linear algebra and differential calculus, this Level 3 Diploma only requires learners to be comfortable with mathematics at the GCSE level. The diploma's mathematical and statistical concepts are based on standard mathematical operations like addition, multiplication, and division. Before commencing the Level 3 Diploma in Data Science, learners are expected to meet the following minimum requirements: i) GCSE Mathematics with a grade of B or higher (equivalent to the new level 6 or above); and ii) GCSE English with a grade of C or higher (equivalent to the new level 4 or above). Furthermore, prior coding experience is not mandatory, although learners should be willing and comfortable with learning Python. Python has been selected for its user-friendly and easily learnable nature. In exceptional circumstances, applicants with substantial experience but lacking formal qualifications may be considered for admission, contingent upon completing an interview and demonstrating their ability to meet the demands of the capability. Progression Upon successful completion of the QUALIFI Level 3 Diploma in Data Science, learners will have several opportunities: Progress to QUALIFI Level 4 Diploma in Data Science: Graduates can advance their education and skills by enrolling in the QUALIFI Level 4 Diploma in Data Science, which offers a more advanced and comprehensive study of the field. Apply for Entry to a UK University for an Undergraduate Degree: This qualification opens doors to higher education, allowing learners to apply for entry to a UK university to pursue an undergraduate degree in a related field, such as data science, computer science, or a related discipline. Progress to Employment in an Associated Profession: Graduates of this program can enter the workforce and seek employment opportunities in professions related to data science, artificial intelligence, machine learning, data analysis, and other relevant fields. These progression options provide learners with a diverse range of opportunities for further education, career advancement, and professional development in the dynamic and rapidly evolving field of data science Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- The Field of Data Science Reference No : H/650/4951 Credit : 6 || TQT : 60 This unit provides learners with an introduction to the field of data science, tracing its origins from the emergence of artificial intelligence and machine learning in the late 1950s, through the advent of the "big data" era in the early 2000s, to its contemporary applications in AI, machine learning, and deep learning, along with the associated challenges. UNIT2- Python for Data Science Reference No : J/650/4952 Credit : 9 || TQT : 90 This unit offers learners an introductory approach to Python programming tailored for data science. It begins by assuming no prior coding knowledge or familiarity with Python and proceeds to elucidate Python's fundamentals, including its design philosophy, syntax, naming conventions, and coding standards. UNIT3- Creating and Interpreting Visualisations in Data Science Reference No : K/650/4953 Credit : 3 || TQT : 30 This unit initiates learners into the realm of fundamental charts and visualisations, teaching them the art of creating and comprehending these graphical representations. It commences by elucidating the significance of visualisations in data comprehension and discerns the characteristics distinguishing effective visualisations from subpar ones. UNIT4- Data and Descriptive Statistics in Data Science Reference No : L/650/4954 Credit : 6 || TQT : 60 The primary objective of this unit is to acquaint learners with the foundational concepts of descriptive statistics and essential methods crucial for data analysis and data science. UNIT5- Fundamentals of Data Analytics Reference No : M/650/4955 Credit : 3 || TQT : 30 This unit will enable learners to distinguish between the roles of a Data Analyst, Data Scientist, and Data Engineer. Additionally, learners can provide an overview of the data ecosystem, encompassing databases and data warehouses, and gain familiarity with prominent vendors and diverse tools within this data ecosystem. UNIT6- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT7- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT8- Machine Learning Methods and Models in Data Science Reference No : T/650/4957 Credit : 3 || TQT : 30 This unit explores the practical applications of various methods in addressing real-world problems. It provides a summary of the key features of these different methods and highlights the challenges associated with each of them. UNIT9- The Machine Learning Process Reference No : Y/650/4958 Credit : 3 || TQT : 30 This unit provides an introduction to the numerous steps and procedures integral to the construction and assessment of machine learning models. UNIT10- Linear Regression in Data Science Reference No : A/650/4959 Credit : 3 || TQT : 30 This unit offers a foundational understanding of simple linear regression models, a crucial concept for predicting the value of one continuous variable based on another. Learners will gain the capability to estimate the best-fit line by computing regression parameters and comprehend the accuracy associated with this line of best-fit. UNIT11- Logistic Regression in Data Science Reference No : H/650/4960 Credit : 3 || TQT : 30 This unit introduces logistic regression, emphasizing its role as a classification algorithm. It delves into the fundamentals of binary logistic regression, covering essential concepts such as the logistic function, Odds ratio, and the Logit function. UNIT12- Decision Trees in Data Science Reference No : J/650/4961 Credit : 3 || TQT : 30 This unit offers an introductory exploration of decision trees' fundamental theory and practical application. It elucidates the process of constructing basic classification trees employing the standard ID3 decision-tree construction algorithm, including the node-splitting criteria based on information theory principles such as Entropy and Information Gain. Additionally, learners will gain hands-on experience in building and assessing decision tree models using Python. UNIT13- K-means clustering in Data Science Reference No : K/650/4962 Credit : 3 || TQT : 30 This unit initiates learners into unsupervised machine learning, focusing on the k-means clustering algorithm. It aims to give learners an intuitive understanding of the k-means clustering method and equip them with the skills to determine the optimal number of clusters. UNIT14- Synthetic Data for Privacy and Security in Data Science Reference No : L/650/4963 Credit : 6 || TQT : 60 This unit is designed to introduce learners to the emerging field of data science, specifically focusing on synthetic data and its applications in enhancing data privacy and security. UNIT15- Graphs and Graph Data Science Reference No : M/650/4964 Credit : 6 || TQT : 60 This unit offers a beginner-friendly introduction to graph theory, a foundational concept that underlies modern graph databases and graph analytics. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

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