35880 BA courses delivered Online

The objective of fast track Level 5 Diploma in Business Management qualification (accredited by OTHM) is to provide learners with an excellent foundation for a career in a range of organisations. It is designed to ensure that each learner is 'business ready': a confident, independent thinker with a detailed knowledge of business and management, and equipped with the skills to adapt rapidly to change.The content of the qualification is focused on people management, managing projects, marketing, finance for managers, business law, business ethics and social responsibility. The qualification is ideal for those who have started, or are planning to move into, a career in private or public sector business. Successful completion of the fast track Level 5 Diploma in Business Management qualification will provide learners with the opportunity to progress to further study or employment. Program Overview Key Highlights Program Duration: 6 Months (Regular duration mode available) Program Credits: 120 Designed for working Professionals Format: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Direct entry into Year 1 of a three-year UK Bachelor's degree LSBR Alumni Status No Cost EMI Option Top Skills You Will Learn You will get knowledge and skills required by a middle manager who is involved in people management, managing projects, marketing, finance, business law, business ethics and social responsibility. Who is this course for? Working Professionals, A-Level / Level 4 / Year 1 of a three-year UK Bachelor's degree holders or learners who are looking for Career Progression and a formal undergraduate qualification leading to award of degrees in future.

LOOKING FOR: PICTURE BOOKS, MG, YA, ADULT FICTION Clare Wallace joined the Darley Anderson Agency in January 2011 and is building both the Darley Anderson Children’s Agency and the Darley Anderson Illustration Agency lists as well as taking on adult fiction for debut authors. Clare is particularly looking for funny chapter books for younger readers at the moment, as well as contemporary MG, YA fantasy, romance, and rom coms, especially with underrepresented protagonists. For picture books she has the widest taste, from daft to lyrical, rhyming to prose. As well as being busy with the children’s and illustration agencies, Clare is open to debut adult fiction submissions that could be described as book club, rom-com, romance, saga, reading group, fantasy or historical fiction. She often doesn’t know what she’s looking for until she finds it (although she is not the person for steampunk or space opera). She represents picture books, middle-grade, teenage and YA and debut adult fiction. The clients Clare represents include Perdita & Honor Cargill, Caroline Crowe, Tom Ellen, Martyn Ford, Stewart Foster, Olivia Hope, A M Howell, Polly Ho-Yen, Rachel Ip, Beth Reekles, J.P. Rose, Lindsay Galvin, Dave Rudden, Deirdre Sullivan and Efua Traoré. Whatever the age range, Clare loves a big hook, a lot of heart, and a standout voice. She loves to discover memorable new characters, bold and unique voices, strong concepts and gripping storytelling. This list gives a good indication of Clare's taste but if your submission doesn’t fit a description here, it doesn’t mean Clare doesn’t want to receive it. Clare would like you to send a covering letter, a one page synopsis and the first three chapters (Max 5000 words) of your manuscript. For picture books, please submit a covering letter and up to three completed texts. Please send EITHER picture books OR another genre, not both in one submission. (In addition to the paid sessions, Clare is kindly offering one free session for low income/underrepresented writers. Please email agent121@iaminprint.co.uk to apply, outlining your case for this option which is offered at the discretion of I Am In Print).  By booking you understand you need to conduct an internet connection test with I Am In Print prior to the event. You also agree to email your material in one document to reach I Am In Print by the stated submission deadline and note that I Am In Print take no responsibility for the advice received during your agent meeting. The submission deadline is: Thursday 12 December 2024

The objective of Level 5 Diploma in Tourism and Hospitality Management (fast track) qualification (accredited by Othm) is to enable learners' development as managers within the tourism and hospitality industry, with a lifelong-learning orientation. This fast track Diploma in Tourism and Hospitality Management - Level 5 course enables learners to critically apply contemporary knowledge and theories to the management of complex problems. Successful completion of this qualification will equip learners with the specialist skills and technical terminology to develop their management skills and to progress to further study or employment. Level 5 Diploma in Tourism and Hospitality Management Key Highlights Program Duration: 6 Months (Regular mode also available) Program Credits: 120 Credits Designed for working Professionals Format: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Become eligible to gain direct entry into relevant Master's degree programme. LSBR Alumni Status No Cost EMI Option This Level 5 Diploma in Tourism and Hospitality Management (fast track) programme will equip you with the specialist skills and technical terminology to develop your management skills in Tourism and Hospitality sector Upon completion of you Level 5 Diploma in Tourism and Hospitality Management in fast track mode you can look forward to middle management role in Tourism and Hospitality sector. Upon successful completion of the programme, you will also become eligible to gain direct entry into Final Year of a three-year UK Bachelor's degree programme. Mandatory units (Total Credits: 120) The OTHM Level 5 Diploma in Tourism and Hospitality Management consists of 6 mandatory units for a combined total of 120 credits Contemporary Issues in Tourism and Hospitality (20 credits) Marketing Management (20 credits) Customer Relations Management (20 credits) Operations Management (20 credits) Finance Management (20 credits) Human Resource Management (20 credits) Who is this course for? Working Professionals, A-Level / Level 4 / Year 1 of a three-year UK Bachelor's degree holders or learners who are looking for Career Progression and a formal undergraduate qualification leading to award of degrees in future. Requirements Open Entry. No formal qualification is required from mature learners (over 21 years) who have relevant management experience. For others, the learners should have relevant NQF / QCF / RQF Level 4 Award / Diploma or at the level of GCE / GCSE or equivalent qualification. Please speak to the Admission Counsellors for waiver information. Career path After completion of Level 5 Diploma in Tourism and Hospitality Management (fast track) Progress to: Year 3 of a Three-year UK Bachelor's degree Completion of your Level 5 Diploma in Tourism and Hospitality Management (fast track) qualification will meet the University standard academic entry requirements.

The objective of Level 5 Diploma in Tourism and Hospitality Management qualification (accredited by Othm) is to enable learners' development as managers within the tourism and hospitality industry, with a lifelong-learning orientation. This Diploma in Tourism and Hospitality Management - Level 5 enables learners to critically apply contemporary knowledge and theories to the management of complex problems. Successful completion of this qualification will equip learners with the specialist skills and technical terminology to develop their management skills and to progress to further study or employment. Program Overview: Diploma in Tourism and Hospitality Management - Level 5 Key Highlights of Diploma in Tourism and Hospitality Management - Level 5 are: Program Duration: 9 Months (Can be Fast tracked) Program Credits: 120 Designed for working Professionals Format: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Direct entry into Final Year of a three-year UK Bachelor's degree LSBR Alumni Status No Cost EMI Option Who is this course for? Working Professionals, A-Level / Level 4 / Year 1 of a three-year UK Bachelor's degree holders or learners who are looking for Career Progression and a formal undergraduate qualification leading to award of degrees in future.

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.

Monthly online ekphrastic writing workshops exploring contemporary artworks for story inspiration.

By completing this qualification, learners will meet industry requirements to: - Plan, deliver and evaluate Pilates reformer sessions and programmes, including: - Pilates-based group reformer sessions (6+) - One-to-one Pilates reformer sessions and programmes

FAA Level 1 Award In Awareness Of Safeguarding (RQF) Face-to-Face Classroom: Half-day course Virtual Classroom: 2 sessions of 2 ½ hours For those who work with children, young people and vulnerable adults Promotes awareness of safeguarding, enabling learners to identify problems and show where to report these to Course Contents: Safeguarding legislation and guidance Key safeguarding roles Different types of abuse Signs and indicators of abuse and neglect Actions to take when a safeguarding concern arises Benefits of this course: In 2018/2019, 415,050 concerns of abuse were raised In 2018/2019, there were nearly 400,000 children in need 52,300 children were subject to a child protection plan 63% of adult safeguarding concerns are for people over 65 1 in every 42 adults aged 85+ have required safeguarding enquires... Child abuse often goes unreported and unrecorded - till it is picked up on by someone who then does something about it. This Level 1 Safeguarding Awareness course gives people the knowledge to make a real difference to a person's life! This basic Safeguarding course is a nationally recognised, Ofqual regulated qualifications accredited by First Aid Awards Ltd. This means that you can be rest assured that your Level 1 in Safeguarding Certificate provides information for best practice to make a real difference to protect the health and wellbeing of the most vulnerable in our society. The Ofqual Register number for this course is 603/5635/2

CRRUK equips professionals with the concepts, skills and tools to build conscious, intentional relationships, and to coach relationship systems of any size.

This qualification is aimed at learners who wish to work in an unsupervised capacity; planning, instructing and evaluating a safe and effective Pilates session.