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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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The course will be delivered through 9 online virtual classroom sessions. The 10th and last session will involve the additional practical work for the course as well as the written examination (multiple choice for City & Guilds and written for Hi-Tech Training) which will take place at our training centre at 43 North Great Georges Street, Dublin 1 (completed online for non ROI learners). During the virtual classroom sessions, trainees will have a live video feed with their instructor talking to them, doing practical live demonstrations on equipment being involved actively in the learning. We will send out a practical kit so that trainees can complete assignments and practical work at home. The kit is the property of Hi-Tech Training and will be returned to Hi-Tech Training on the last day of the course. (The kits may also be purchased by the learner….see the Kits Page Link for more details). The kit consists of power supply unit breadboard, multimeter, cables, The kit consists of breadboard, multimeter, oscilloscope, battery and connectors, components including resistors, LEDs and ICs (AND, NAND, OR, NOR, X-OR, X-NOR, Inverter, Buffer, Latches, Flip-Flops, Timers, etc). Trainees will build various projects as part of the course. The kit forms an integral part of the course, so full course fees need to be paid at least 7 days prior to course commencement to allow time to ship the kit in time for the course.

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

IASSC lean six sigma green belt course. Online, 24/7 access to content and exam. Fee includes learning content, live webinars, tutor support, and official IASSC exam.

Learn AutoCAD Evening Training Course. Clickhere for info This Autodesk AutoCAD 2D Introduction Evening Course is ideal for students who are completely new to the software and for those looking to produce advanced 2D plans, elevations and sections, as well as understanding all key tools in AutoCAD 2D. Call 02077202581 or WhatsApp 07970325184. Duration: 10 hrs. Method: 1-on-1, Personalized attention Schedule: Tailor your own slots, available from Mon to Sat between 9 am and 7 pm. Flexible Evening Sessions: Learn at your pace with evening classes. Comprehensive Skill Development: Master 2D Plans, Sections and Elevations. Industry-Standard Knowledge: Gain proficiency sought by employers. Practical Application: Apply skills to real-world design scenarios. Recorded Lessons for Review: Revisit course material anytime. Lifetime Email Support: Get ongoing assistance even after course completion. Course Duration: 10 hours Course Overview: AutoCAD 2D Training Course Designed for beginners, this course teaches the fundamentals of AutoCAD 2D software. Participants will learn essential tools and features to create, edit, and annotate 2D drawings. By course completion, students will confidently produce their own 2D drawings using AutoCAD. Introduction to AutoCAD 2D Overview of AutoCAD 2D software Understanding the user interface Navigating the drawing area Setting up drawing units and limits Creating basic shapes and lines Drawing Tools Utilizing Line, Circle, and Arc tools Implementing Polyline and Spline tools Adding dimensions and annotations Understanding layers and object properties Creating and inserting blocks into drawings Editing Tools Using Erase, Move, and Copy tools Implementing Rotate and Scale tools Understanding grips and grip editing Utilizing Trim and Extend tools Exploring fillets and chamfers Advanced Drawing Tools Utilizing Offset and Mirror tools Implementing Array and Divide tools Understanding hatching and gradient fills Adding text and multiline text Incorporating tables and fields into drawings Final Project Completing a final project using all learned tools and features Instructor-guided process to create a personal 2D drawing with AutoCAD Q&A and review of course material Assessment: Submission of the final project Active participation in class exercises and discussions Requirements: AutoCAD 2D software installed on the student's computer Basic computer skills and familiarity with the Windows operating system A laptop or desktop computer with a minimum of 4GB RAM and a 64-bit operating system.

Are you a customs agent/ Importer ? Or does your company use customs agents and intermediaries to help you trade with the EU and the Rest of the World? If so, you need to know how to meet customs requirements fast and efficiently now the new customs declaration system CDS is in place. We can help.

Course Objectives At the end of this course you will be able to: Record and edit a Macro Assign macros to keyboard shortcuts, Quick Access Toolbar, Buttons and Shape objects. Use the Visual Basic Editor; change the properties of an object; add a module to a project; write the code for a procedure and then run it; and use the Object Browser to search procedures Manipulate data by declaring variables of different data types; combine data by using expressions; use functions to accept input and display output; and declare variables and procedures with the appropriate scope Use decision structures to create procedures that make decisions; and use loop structures to perform repetitive tasks Create an error handling routine in case things go wrong with VBA code ' 1 year email support service Take a closer look at the consistent excellent feedback from our growing corporate clients visiting our site ms-officetraining co uk Customer Feedback Best Training Ever! Just finished a bespoke 1-1 training course in Excel Advanced, Macros & VBA. Pedro is an excellent trainer, imparting his skills and knowledge in the best way - appropriately to audience skills, knowledge and ability. Pedro is always approachable, encouraging and supportive, giving delegates the optimum learning environment. I would not hesitate to recommend Pedro as a trainer, whatever your level of ability. Amanda Morris - Treasury & Systems Accountant at Reall - Real Equity for All The trainer was very knowledgeable, kept everyone involved and was enthusiastic. A great experience.. Simon Harper - Lloyd's of London My learning experience was awesome. Perdinand Reagan - Subsea7 Very nice and relaxed approach to teaching. Was definitely a good learning experience. Jerome Pupe - S5 Agency World The Trainer – Very positive + patient + helpful + thorough Agnes Souza - Direct Wines ' With more than 20 years experience, we deliver courses on all levels of the Desktop version of Microsoft Office and Office 365; ranging from Beginner, Intermediate, Advanced to the VBA level. Our trainers are Microsoft certified professionals with a proven track record with several years experience in delivering public, one to one, tailored and bespoke courses. Our competitive rates start from £550.00 per day of training Tailored training courses: You can choose to run the course exactly as they are outlined by us or we can customise it so that it meets your specific needs. A tailored or bespoke course will follow the standard outline but may be adapted to your specific organisational needs. Introduction to Macros and VBA Introducing Visual Basic for Applications Recording a Macro Naming conventions for Macro Procedures Running a Macro Absolute or Relative Cell Referencing Saving and Opening Files with Macros Making macros always available Adding Macros to Keyboard Shortcuts, Quick Access Toolbar, Buttons and Shapes Editing a Macro in the Visual Basic Editor Understanding the Development Environment Customising the Editor Tips for General Typing in VBA Using Visual Basic Help Working with Procedures Program Design Understanding Modules Naming Rules Creating a Module Understanding Procedures Programming Macro Concepts Creating a Subroutine Creating a Function Understanding Arguments Exiting Procedures Calling Procedures Objects, Properties, Methods and Events Understanding Objects Properties, Methods, and Events Navigating the Object Hierarchy Understanding Collections Accessing a Member of a Collection Understanding Hierarchy Using the Object Browser Using the With Statement Working with Properties Working with Methods Creating an Event Procedure Reserved Macro Names Using Expressions, Variables and Intrinsic Functions Understanding Expressions and Statements Declaring Variables Understanding Data Types Determining the Value of Variables Working with Variable Scope Using Built-in VBA Functions Understanding Constants Using Message Boxes Controlling the Answer to a Message Box Using Input Boxes Declaring and Using Object Variables Controlling Program Execution Understanding Control-of-Flow Structures Using the If...End If Decision Structures Nested If Statements Using the Select Case ... End Select Structure Using the Do ... Loop Structure Using the For ... Next Structure Using the For Each ... Next Structure Guidelines for Use of Control-of-Flow Structures Debugging and Handling Errors Understanding Errors Using Debugging Tools Setting Breakpoints and Using Break Mode Stepping Through Code Trapping Errors with the On Error Statement Understanding the Err Object Working with Inline Error Handling Writing an Error-Handling Routine Working with Forms and Controls Understanding UserForms Creating a Form Displaying and Removing a Form Aligning and Sizing Controls Using the Toolbox Working with a Form's Properties, Methods, and Events Working with Form and Control Properties, Methods and Event Setting the Tab Order Populating a Control Who is this course for? Who is this course for? This course is designed to give proficiency in the Visual Basic Editor (VBE), predominantly making use of Excel objects, understanding Object's Properties, Events and Methods, basic VBA Object oriented programming, event handling, control structures, and debugging tools. Requirements Requirements Preferably, delegates should have attended the Excel Advanced course. Certificates Certificates Certificate of completion Digital certificate - Included

Enhance your ability to apply a range of techniques and tools to help improve management of emotions under stress, make more effective decisions in difficult scenarios and manage your energy more effectively in stressful situations.

Arm yourself with a robust research toolkit that will help you uncover deep behavioural insights on user needs and motivations so you can design better experiences.