5248 Writing courses in St Helens delivered Online

Getting Started OTHM Level 3 Diploma in Business Studies equips the learner with the abilities and data to work the business and this course change the learner to grasp the connected problems to business and business environment. And this qualification helps the learner to urge full knowledge concerning the business functions and its role in our society. when completion of this course the learner will qualify the following level. Qualification awarded by OTHM RQF Level 3 represents sensible knowledge, skills, capabilities, and competencies that are assessed in tutorial terms as being like GCE AS/A Levels. Key Benefits Understand different learning styles. Learn IT skills for business writing Understand different learning styles. Understand different types of businesses and their functions. Understand the principles of people management Key Highlights Wishing to Empower yourself to contribute to the world in future? Then, SBTL delivers OTHM Level 3 Diploma in Business Studies, an in-depth understanding of the operations and structure of businesses. OTHM qualifications Level 3 represent practical knowledge, skills, capabilities and competences that are assessed in academic terms as being equivalent to GCE AS/A Levels. 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 OTHM approved tutors who would 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 you with 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 The OTHM Level 3 Diploma in Business Studies can open many career pathways including, but not limited to: Claims Handler (Entry Level); with an estimated average salary of £18,000 per annum Customer Support Assistant (Entry Level); with an estimated average salary of £20,593 per annum Administration Assistant (Entry Level); with an estimated average salary of £22,675 per annum Trainee Payroll Executive (Entry Level); with an estimated average salary of £21,000 per annum Marketing Assistant (Entry Level); with an estimated average salary of £22,500 per annum About Awarding Body OTHM is an established and recognised Awarding Organisation (Certification Body) launched in 2003. OTHM has already made a mark in the UK and global online education scenario by creating and maintaining a user-friendly and skill based learning environment. OTHM has both local and international recognition which aids OTHM graduates to enhance their employability skills as well as allowing them to join degree and/or Master top-up programmes. OTHM qualifications has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through SBTL Support Desk Portal. Access to our cutting-edge learning management platform where you will be able to access vital learning resources and communicate with support desk team. Quality learning materials such as 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. Formative assessment feedback will be provided by the tutors to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through online learning platform. This facilitates SBTL in providing learners with course materials directly through smartphone, laptop, tablets or desktop offering students' opportunity to study as per their convenience. Live Classes (for Blended Learning Students only). Assessment Time-constrained scenario-based assignments No examinations Entry Requirements Learners must be 18 years of demonstrate the ability to undertake the learning and Assessment A learner not from a majority English-speaking country must provide evidence of English language competency. Progression OTHM Level 4 diplomas Direct entry into the first year of a 3-year UK Bachelor's degree Direct entry into a range of their Bachelor's degree programmes. Why gain a OTHM Qualification? Quality, Standards and Recognitions- OTHM qualifications are approved and regulated by Ofqual (Office of the Qualifications and Examinations Regulation) hence the learners can be very confident about the quality of the qualifications as well. Career Development to increase credibility with employers- All OTHM qualifications are developed to equip learners with the skills and knowledge that every employer is looking for. The learners pursuing an OTHM qualification will obtain an opportunity to enhance knowledge and grow key competencies to tackle situations and work projects more effectively which will in turn gives learners the potential to get promotion within workplace. Alternatively, it allows them to progress onto a MBA top-up/ Bachelor degree / Master degree programmes around the World. Flexible study options- All OTHM qualifications has a credit value which tells you how many credits are awarded when a unit is completed. The credit value will give an indication of how long it will normally take you to prepare for a unit or qualification. Three different types of qualification are: Award is achieved with 1 - 12 credits Certificate is achieved with 13 - 36 credits Diploma is achieved with at least 37 credits The Level 3 Diploma in Business Studies qualification consists of 4 mandatory units plus 2 optional units for a combined total of 60 credits, 600 hours Total Qualification Time (TQT) and 360 Guided Learning Hours (GLH) for the completed qualification. 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- Introduction to Research and Academic Skills Reference No : R/616/0686 Credit : 10 || TQT : 100 This unit aims to supply learners with a grounding within the key analysis and tutorial skills needed for winning study at this level and later employment and/or more study. UNIT2- Using IT for Business Reference No : J/616/2712 Credit : 10 || TQT : 100 The aim of this unit is to introduce learner with the importance of IT in business development in current business world UNIT3- Introduction to Economics and Accounting Reference No : D/616/0691 Credit : 10 || TQT : 100 This unit aims to provide learners deep understanding of the role of economics and accounting in a business environment. UNIT4- Managing Business Events Reference No : R/616/2714 Credit : 10 || TQT : 100 This unit aims to develop learners' to know about the principles that apply to the planning and management of events in different business sectors UNIT5- Introduction to Marketing Reference No : D/616/2716 Credit : 10 || TQT : 100 The aim of this unit is to develop the learnersto know the principles that apply to marketing in a business environment, including marketing models, sales principles, and marketing planning. UNIT6- Introduction to the Business Environment Reference No : L/616/2713 Credit : 100 || TQT : 100 The goal of this unit is to make the learner aware of different type of business, their function, and structures, as well as understanding basic marketing principles. 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.

Tired of browsing and searching for a Data Analysis and Data Science course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this extensive bundle that has everything you need to succeed. After surveying thousands of learners just like you and considering their valuable feedback, this all-in-one Data Analysis and Data Science bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Data Analysis and Data Science course that will enhance your skills and prepare you for the competitive job market. Also, our experts are available for answering your queries on Data Analysis and Data Science and help you along your learning journey. Advanced audio-visual learning modules of these Data Analysis and Data Science courses are broken down into little chunks so that you can learn at your own pace without being overwhelmed by too much material at once. Furthermore, to help you showcase your expertise in Data Analysis and Data Science, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest. This Data Analysis and Data Science Bundle Consists of the following Premium courses: Course 01: Introduction to Data Analysis Course 02: Python for Data Analysis Course 03: Statistical Analysis Course 04: SQL NoSQL Big Data and Hadoop Course 05: Complete Microsoft Power BI 2021 Course 06: Data Analysis in Excel Level 3 Course Course 07: Data Analytics with Tableau Course 08: Basic Google Data Studio Course 09: Business Analytics Course 10: Complete Introduction to Business Data Analysis Level 3 Course 11: Business Intelligence and Data Mining Masterclass Course 12: Research Methods in Business Course 13: Computer Science: Graph Theory Algorithms Course 14: Data Protection and Data Security Level 2 Enrol now in Data Analysis and Data Science to advance your career, and use the premium study materials from Apex Learning. How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (For The Title Course) Hard Copy Certificate: Free (For The Title Course) The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Analysis and Data Science expertise and essential knowledge, which will assist you in reaching your goal. Curriculum of Bundle Course 01: Introduction to Data Analysis Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding Course 02: Python for Data Analysis Welcome, Course Introduction & overview, and Environment set-up Python Essentials Python for Data Analysis using NumPy Python for Data Analysis using Pandas Python for Data Visualization using matplotlib Python for Data Visualization using Seaborn Python for Data Visualization using pandas Python for interactive & geographical plotting using Plotly and Cufflinks Capstone Project - Python for Data Analysis & Visualization Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Python for Machine Learning - scikit-learn - Logistic Regression Model Python for Machine Learning - scikit-learn - K Nearest Neighbors Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Python for Machine Learning - scikit-learn - K Means Clustering Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Recommender Systems with Python - (Additional Topic) Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Course 03: Statistical Analysis Module 01: The Realm of Statistics Module 02: Basic Statistical Terms Module 03: The Center of the Data Module 04: Data Variability Module 05: Binomial and Normal Distributions Module 06: Introduction to Probability Module 07: Estimates and Intervals Module 08: Hypothesis Testing Module 09: Regression Analysis Module 10: Algorithms, Analytics and Predictions Module 11: Learning From Experience: The Bayesian Way Module 12: Doing Statistics: The Wrong Way Module 13: How We Can Do Statistics Better Course 04: SQL NoSQL Big Data and Hadoop Module 01: Introduction Module 02: Relational Database Systems Module 03: Database Classification Module 04: Key-Value Store Module 05: Document-Oriented Databases Module 06: Search Engines Module 07: Wide Column Store Module 08: Time Series Databases Module 09: Graph Databases Module 10: Hadoop Platform Module 11: Big Data SQL Engines Module 12: Distributed Commit Log Module 13: Summary Course 05: Complete Microsoft Power BI 2021 Module 01: Introduction Module 02: Preparing our Project Module 03: Data Transformation - The Query Editor Module 04: Data Transformation - Advanced Module 05: Creating a Data Model Module 06: Data Visualization Module 07: Power BI & Python Module 08: Storytelling with Data Module 09: DAX - The Essentials Module 10: DAX - The CALCULATE function Module 11: Power BI Service - Power BI Cloud Module 12: Row-Level Security Module 13: More data sources Module 14: Next steps to improve & stay up to date Course 06: Data Analysis in Excel Level 3 Course Modifying a Worksheet Working with Lists Analyzing Data Visualizing Data with Charts Using PivotTables and PivotCharts Working with Multiple Worksheets and Workbooks Using Lookup Functions and Formula Auditing Automating Workbook Functionality Creating Sparklines and Mapping Data Forecasting Data Course 07: Data Analytics with Tableau Module 01: Introduction to the Course Module 02: Project 1: Discount Mart (Sales and Profit Analytics) Module 03: Project 2: Green Destinations (HR Analytics) Module 04: Project 3: Superstore (Sales Agent Tracker) Module 05: Northwind Trade (Shipping Analytics) Module 06: Project 5: Tesla (Stock Price Analytics) Module 07: Bonus: Introduction to Database Concepts Module 08: Tableau Stories Course 08: Basic Google Data Studio Module 01: Introduction to GDS Module 02: Data Visualization Module 03: Geo-visualization Module 04: A Socio-Economic Case Study Course 09: Business Analytics Module 01: What is business analysis? Module 02: Strategy analysis Module 03: Collaboration Module 04: Requirements analysis and Design definition Module 05: Requirements lifecycle management Module 06: Solution quality Module 07: Stakeholder management Module 08: BA Governance Module 09: Legal notes and Copyright information Course 10: Complete Introduction to Business Data Analysis Level 3 Module 1: Statistics Fundamentals Module 2: Data Analysis Module 3: Probability Module 4: Random Variables and Discrete Distributions Module 5: Continuous Distributions Module 6: Sampling Distributions Module 7: Confidence Interval Module 8: Hypothesis Testing with One Sample Module 9: Hypothesis Testing with Two Samples Module 10: The Chi-Square Distribution Module 11: F Distribution and One-Way ANOVA Module 12: Correlation analysis Module 13: Simple Linear Regression Analysis Course 11: Business Intelligence and Data Mining Masterclass Module 01: What is Business Intelligence? Module 02: Starting Case in understanding BI needs in diff phase of business Module 03: Decision Making Process and Need of IT systems Module 04: Problem Structure and Decision Support System Module 05: Introduction to BI Applications Module 06: Dashboard presentation systems Module 07: Different Types of Charts used in 131 Dashboards Module 08: Good Dashboard and BSC Module 09: Examples of Bad Dashboards 1 Module 10: Examples of Bad Dashboards 2 And much more... Course 12: Research Methods in Business Section 01: Applied Project & Research Methods in Business Section 02: Writing a Purpose / Quantitative and Qualitative Research Approaches Section 03: Mixed Method Research Approaches, Ethical Considerations & Writing Effectively Written Methodology Part 3 !@@ Section 04: Writing Data Collection Tools, Qualitative & Quantitative Data Analysis Section 05: Comparing Findings to Literature and Writing the Final Paper Course 13: Computer Science: Graph Theory Algorithms Module 00: Promo Module 01: Introduction Module 02: Common Problem Module 03: Depth First Search Module 04: Breadth First Search Module 05: Breadth First Search Shortest Path on a Grid And much more... Course 14: Data Protection and Data Security Level 2 GDPR Basics GDPR Explained Lawful Basis for Preparation Rights and Breaches Responsibilities and Obligations CPD 165 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Data Analysis and Data Science bundle. Requirements Our Data Analysis and Data Science course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. Career path Having this Data Analysis and Data Science expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included You will get the PDF Certificate for the title course (Introduction to Data Analysis) absolutely Free! Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Introduction to Data Analysis) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Contribute towards your RICS CPD requirements for the year with online webinars from Property Elite. This package contains over 30 hours of online webinars (formal CPD), which you can top up with your own informal CPD via structured reading after you watch each recorded session. Perfect for qualified AssocRICS surveyors and Chartered Surveyors, as well as RICS APC and AssocRICS candidates. Our CPD webinars cover topics relevant to most pathways, including both technical and mandatory competencies and current hot topics.

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Level 5 & 7 Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 5 CPD Courses | Lifetime Access

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

This course will help you learn about the basic and advanced topics for automating tests with Selenium and Python. Without any prior knowledge of Python or automation testing, you will be able to perform automation testing with this practical course.

Introduction to Entrepreneurship Course provides a comprehensive understanding of the entrepreneurial landscape in the modern world. In today's dynamic economy, Entrepreneurship plays a pivotal role in driving innovation, creating job opportunities, and fostering economic growth. Learning this skill is crucial as it equips individuals with the knowledge and tools needed to identify opportunities, develop innovative solutions, and successfully launch and manage businesses. In the UK job market, proficiency in Entrepreneurship significantly enhances one's employability, with job roles ranging from startup founders to corporate innovators. According to recent data, professionals with Entrepreneurship expertise in the UK command salaries averaging £40,000 to £60,000 per annum. Moreover, the advantages of undertaking this Introduction to Entrepreneurship course are manifold, with an increasing demand for entrepreneurial skills across various sectors. Studies indicate a rise in entrepreneurial activity, with the percentage of startups increasing by 10% annually, highlighting the growing importance of Entrepreneurship education in today's world. Key Features: This Introduction to Entrepreneurship Course Includes: CPD Certified Entrepreneurship Course Free Certificate from Reed CIQ Approved Entrepreneurship Course Developed by Specialist Lifetime Access Course Curriculum of This Introduction to Entrepreneurship Course Module 01: Introduction To Entrepreneurship Module 02: Entrepreneurship And Innovation Module 03: The Entrepreneurial Mindset Module 04: Introduction To Idea Generation Module 05: Business Models Module 06: Writing And Evaluating Business Plan Module 07: Fundraising Module 08: The Reasons Why New Businesses Fail Learning Outcomes: Introduction to Entrepreneurship Course Understand entrepreneurship fundamentals and its role in modern economies. Explore the relationship between entrepreneurship and innovation for business success. Cultivate an entrepreneurial mindset to identify opportunities and navigate challenges. Learn techniques for idea generation and evaluating business feasibility. Analyze various business models to determine their suitability for ventures. Develop skills in writing and evaluating business plans for startups. CPD 10 CPD hours / points Accredited by CPD Quality Standards Introduction to Entrepreneurship 1:37:01 1: Module 01: Introduction To Entrepreneurship Preview 13:45 2: Module 02: Entrepreneurship And Innovation 12:09 3: Module 03: The Entrepreneurial Mindset 07:17 4: Module 04: Introduction To Idea Generation 10:30 5: Module 05: Business Models 11:44 6: Module 06: Writing And Evaluating Business Plan 13:25 7: Module 07: Fundraising 09:10 8: Module 08: The Reasons Why New Businesses Fail 17:01 9: CPD Certificate - Free 01:00 10: Leave A Review 01:00 Who is this course for? This Introduction to Entrepreneurship course is accessible to anyone eager to learn more about this topic. Through this Introduction to Entrepreneurship course, you'll gain a solid understanding of Introduction to Entrepreneurship . Moreover, this course is ideal for: Aspiring entrepreneurs seeking foundational knowledge in business creation. Students interested in understanding entrepreneurial concepts for future ventures. Professionals exploring entrepreneurship as a career change or side project. Individuals with innovative ideas looking to transform them into viable businesses. Anyone curious about the process of starting and running a business. Requirements There are no requirements needed to enrol into this Introduction to Entrepreneurship course. We welcome individuals from all backgrounds and levels of experience to enrol into this Introduction to Entrepreneurship course. Career path After finishing this Introduction to Entrepreneurship course you will have multiple job opportunities waiting for you. Some of the the following Job sectors of Introduction to Entrepreneurship are: Entrepreneur - £25K to 100K/year. Business Consultant - £30K to 70K/year. Venture Capital Analyst - £40K to 80K/year. Innovation Manager - £35K to 70K/year. Small Business Owner - £20K to 60K/year. Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Unleash your culinary creativity with 'Sophisticated Baking 101: Crafting Elegant Treats and Delicacies.' Master the art of baking fundamentals, cake decorating, and French pastries. Elevate your skills in frosting, icing, and piping techniques. Join us to transform ordinary ingredients into extraordinary, visually stunning, and delicious creations. Explore the world of gourmet baking with precision and flair. Discover the joy of crafting sophisticated desserts that are as pleasing to the eyes as they are to the palate. Enroll now and embark on a delectable journey of culinary craftsmanship.

This is a comprehensive course for using HashiCorp Packer in your organization. The course teaches you about using HCL2 to create your Packer templates, the new standard moving forward. Explore the core HashiCorp Packer components and access hands-on labs you can perform in your environment.