27570 Development courses in Nottingham delivered Online

Pop-tastic Potions - a set of three science experiments for children aged 5-11 based around this exciting theme. Brought to you by Carrie Ann Booth, science teacher and edu-tainer! Instructional videos for each experiment and a worksheet alongside with step-by-step, clear instructions. Plus ideas to take it further. It’s like having me in your own kitchen!

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Accountancy provides an excellent opportunity to gain the skills and knowledge you'll need to advance in your career. Take this course anywhere and at any time. Don't let your lifestyle limit your learning or your potential. Accountancy will provide you with the right CPD Accredited qualifications that you'll need to succeed. Gain experience online and interact with experts. This can prove to be the perfect way to get noticed by a prospective employer and stand out from the crowd. Accountancy has been rated and reviewed highly by our learners and professionals alike. We have a passion for teaching, and it shows. All of our courses have interactive online modules that allow studying to take place where and when you want it to. The only thing you need to take Accountancy is Wi-Fi and a screen. You'll never be late for class again. Experienced tutors and mentors will be there for you whenever you need them, and solve all your queries through email and chat boxes. Why Choose Accountancy Training? Opportunity to earn a certificate accredited by CPD after completing this Accountancy Training course Student ID card with amazing discounts - completely for FREE! (£10 postal charges will be applicable for international delivery) Globally accepted standard structured lesson planning Innovative and engaging content and activities Assessments that measure higher-level thinking and skills Complete the Accountancy Training program in your own time, at your own pace Each of our students gets full 24/7 tutor support ****Course Curriculum**** Here are the topics you will cover in the Accountancy Training Course: ***Accounting and Finance*** Module 01: Introduction to Accounting What Is Accounting? Accounting and Bookkeeping Who Uses Accounting Information? Financial Statements How Different Business Entities Present Accounting Information Module 02: The Role of an Accountant What Is an Accountant? Roles and Responsibilities Important Skills Transparency and Security Data Analysis Module 03: Accounting Concepts and Standards Introduction to Accounting Concepts Standards International Accounting Standards International Financial Reporting Standards Module 04: Double-Entry Bookkeeping Introduction of Double-Entry Bookkeeping What Does the Account Show? Rules for Double-Entry Transactions Accounting for Inventory Double-Entry Transactions for Inventory Returns of Inventory Drawings Income and Expenses How Many Different Expense Accounts Should Be Opened? Balancing Accounts Module 05: Balance Sheet Introduction of Balance Sheet The Components of a Balance Sheet The Accounting Equation Understanding the Balance Sheet What Does the Date on the Balance Sheet Mean? Module 06: Income statement Understanding the Income Statement The Accrual Concept Revenue Expenses Net Income Interest and Income Taxes Bad Debt Expense Module 07: Financial statements Introduction of Financial Statements Trial Balance Statement of Comprehensive Income Calculation of Profit Difference between Gross and Net Profits Trading Account Profit and Loss Account Statement of Financial Position Module 08: Cash Flow Statements What Is a Statement of Cash Flows? What Is the Purpose of the Cash Flow Statement? Cash and Cash Equivalents Operating Activities Investing Activities Financing Activities Module 09: Understanding Profit and Loss Statement Introduction of Profit and Loss Account Measurement of Income Relation Between Profit and Loss Account and Balance Sheet Preparation of Profit and Loss Account Module 10: Financial Budgeting and Planning What Is a Budget? Planning and Control Advantages of Budgeting Developing the Profit Strategy and Budgeted Profit and Loss Statement Budgeting Cash Flow from Profit for the Coming Year Capital Budgeting Module 11: Auditing What Is an Audit? Types of Audits Why Audits? Who's Who in the World of Audits What's in an Auditor's Report Assessment Process Once you have finished the learning stages in the Accountancy Training course, your abilities will be assessed by an automated multiple-choice question session, after which you will receive the results immediately. Showcase Your Accomplishment of New Skills: Get a Certification of Completion The learners have to successfully complete the assessment of this Accountancy Training course to achieve the CPD accredited certificate. Digital certificates can be ordered for only £10. The learner can purchase printed hard copies inside the UK for £29, and international students can purchase printed hard copies for £39. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this course. This course is open to everybody. Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this course, you are to start your career or begin the next phase of your career.

The MOST DEMANDED PATHWAY are WAITING for YOU. Every day, hundreds of houses get sold in the UK. And at the heart of all these transactions, there's one person who ensures that the transfer of ownership of the properties is as smooth as possible, a - CONVEYANCER. Do you think so many houses would get sold every day if the ownership transfer process was complicated and convoluted? Probably not. Conveyancers make life easier for property buyers and sellers, and thus they are always in demand. This Course is a quick and easy way to learn the essentials of Conveyancing. With its step by step lessons and no fluff method of content delivery, the course saves you time and money as it's available at a discounted price at the moment. Get 11 CPD Accredited Courses: Course 01: Conveyancing Course 02: Property Law Course 03: Conveyancing Law Course 04: Conveyancing Transactions Course 5: Conveyancing Documentation & Taxation Course 6: Fundamentals of Real Estate and Property Investment Course 7: Residential Property Sales Course 8: Influencing and Negotiation Skills Course 9: Social Housing Management Course 10: Wills and Probate Law Course 11: Property Law: License, Mortgage & Security If you are planning on becoming a conveyancer in the future, then the skills you learn here are going to be really useful. Enrol now and quickly learn Conveyancing. This Course has been designed and developed by Conveyancing industry specialists who have been in the business for years. You'll get easy to understand lessons, and you will gain valuable insights into the world of Conveyancing. Key Highlights for the Recruitment Course: 11 CPD Accredited Course Unlimited Retake Exam & Tutor Support Easy Accessibility to the Course Materials 100% Learning Satisfaction Guarantee Lifetime Access & 24/7 Support Self-paced online course Modules These bundle course will cover following topics: Topic 01: Introduction to Conveyancing Topic 02: Key Conveyancing Fundamentals Topic 03: Landlord and Tenant Topic 04: Land Registry Updates and Law Topic 05: Law of Contract Topic 06: Property Law & Conveyancing Practice Topic 07: Standard Conveyancing Transactions Topic 08: Understanding Accounting Procedures for Conveyancing Transactions Topic 09: Preparing Legal Documents Topic 10: Taxation Issues for Conveyancers Each topic has been designed to deliver more information in a shorter amount of time. This makes it simple for the learners to understand the fundamental idea and apply it to diverse situations. CPD 110 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this course. Requirements To enrol in this course, all you need is a basic understanding of the English Language and an internet connection. Career path After completing this course, you can explore trendy and in-demand jobs, such as- Bookkeeper/Accounting Assistant Agency Advisor Real Estate Agent Projects Area Supervisor Settlement Processor Licensed Transaction Coordinator Associate Attorney Legal Assistant Certificates CPD Accredited PDF Certificate Digital certificate - Included After successfully completing this course, you can get 11 CPD accredited digital PDF certificate for free. Certificate of completion Hard copy certificate - £9.99 After successfully completing this course, you can get CPD accredited hardcopy certificate for £9.99 each. The delivery charge for the hardcopy certificate inside the UK is free, and international students need to pay £9.99 to get their hardcopy certificate.

Discover Life’s A Dance: A Ballroom Metaphor by Evan Jeposa – an inspiring self-help guide that blends ballroom dancing with personal development. Learn how to overcome life’s challenges, build confidence, and unlock your potential using the transformative power of rhythm, balance, and connection. Explore practical tools like NLP to achieve success in life and relationships. Start your journey today! 💃 Life’s A Dance: A Ballroom Metaphor by Evan Jeposa is more than a book—it’s your guide to living with confidence, purpose, and rhythm! 🌟 Learn to overcome challenges, build meaningful connections, and break through life’s plateaus using the art of ballroom dancing and NLP techniques. Whether you’re a dancer or seeking personal growth, this book will inspire and empower you. Ready to lead your life’s dance? 💪📚 📖 Grab your copy now! 🎯 #LifesADance #SelfHelpBooks #PersonalGrowth #BallroomDancing #Motivation

Discover Life’s A Dance: A Ballroom Metaphor by Evan Jeposa – an inspiring self-help guide that blends ballroom dancing with personal development. Learn how to overcome life’s challenges, build confidence, and unlock your potential using the transformative power of rhythm, balance, and connection. Explore practical tools like NLP to achieve success in life and relationships. Start your journey today! 💃 Life’s A Dance: A Ballroom Metaphor by Evan Jeposa is more than a book—it’s your guide to living with confidence, purpose, and rhythm! 🌟 Learn to overcome challenges, build meaningful connections, and break through life’s plateaus using the art of ballroom dancing and NLP techniques. Whether you’re a dancer or seeking personal growth, this book will inspire and empower you. Ready to lead your life’s dance? 💪📚 📖 Grab your copy now! 🎯 #LifesADance #SelfHelpBooks #PersonalGrowth #BallroomDancing #Motivation

Overview This comprehensive course on Data Science & Machine Learning with R will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science & Machine Learning with R 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 Data Science & Machine Learning with R. It is available to all students, of all academic backgrounds. Requirements Our Data Science & Machine Learning with R 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 10 sections • 69 lectures • 22:07:00 total length •Data Science and Machine Learning Introduction: 00:03:00 •What is Data Science: 00:10:00 •Machine Learning Overview: 00:05:00 •Who is This Course for: 00:03:00 •Data Science and Machine Learning Marketplace: 00:05:00 •Data Science and Machine Learning Job Opportunities: 00:03:00 •Getting Started: 00:11:00 •Basics: 00:06:00 •Files: 00:11:00 •RStudio: 00:07:00 •Tidyverse: 00:05:00 •Resources: 00:04:00 •Unit Introduction: 00:30:00 •Basic Type: 00:09:00 •Vector Part One: 00:20:00 •Vectors Part Two: 00:25:00 •Vectors - Missing Values: 00:16:00 •Vectors - Coercion: 00:14:00 •Vectors - Naming: 00:10:00 •Vectors - Misc: 00:06:00 •Creating Matrics: 00:31:00 •List: 00:32:00 •Introduction to Data Frames: 00:19:00 •Creating Data Frames: 00:20:00 •Data Frames: Helper Functions: 00:31:00 •Data Frames Tibbles: 00:39:00 •Intermediate Introduction: 00:47:00 •Relational Operations: 00:11:00 •Conditional Statements: 00:11:00 •Loops: 00:08:00 •Functions: 00:14:00 •Packages: 00:11:00 •Factors: 00:28:00 •Dates and Times: 00:30:00 •Functional Programming: 00:37:00 •Data Import or Export: 00:22:00 •Database: 00:27:00 •Data Manipulation in R Introduction: 00:36:00 •Tidy Data: 00:11:00 •The Pipe Operator: 00:15:00 •The Filter Verb: 00:22:00 •The Select Verb: 00:46:00 •The Mutate Verb: 00:32:00 •The Arrange Verb: 00:10:00 •The Summarize Verb: 00:23:00 •Data Pivoting: 00:43:00 •JSON Parsing: 00:11:00 •String Manipulation: 00:33:00 •Web Scraping: 00:59:00 •Data Visualization in R Section Intro: 00:17:00 •Getting Started: 00:16:00 •Aesthetics Mappings: 00:25:00 •Single Variable Plots: 00:37:00 •Two Variable Plots: 00:21:00 •Facets, Layering, and Coordinate Systems: 00:18:00 •Styling and Saving: 00:12:00 •Creating with R Markdown: 00:29:00 •Introduction to R Shiny: 00:26:00 •A Basic R Shiny App: 00:31:00 •Other Examples with R Shiny: 00:34:00 •Machine Learning Part 1: 00:22:00 •Machine Learning Part 2: 00:47:00 •Starting a Data Science Career Section Overview: 00:03:00 •Data Science Resume: 00:04:00 •Getting Started with Freelancing: 00:05:00 •Top Freelance Websites: 00:05:00 •Personal Branding: 00:05:00 •Importance of Website and Blo: 00:04:00 •Networking Do's and Don'ts: 00:04:00

Overview This comprehensive course on Improve your Financial Intelligence will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Improve your Financial Intelligence comes with accredited certification from CPD, 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 Improve your Financial Intelligence. It is available to all students, of all academic backgrounds. Requirements Our Improve your Financial Intelligence 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 9 sections • 28 lectures • 01:28:00 total length •Introduction - Don't be Afraid: 00:04:00 •Key Financial Statements - Introduction: 00:01:00 •The Balance Sheet - Introduction: 00:03:00 •The Balance Sheet - Assets, Liabilities, Owners Equity: 00:04:00 •The Balance Sheet - How it relates to you: 00:06:00 •The Income Statement - Introduction: 00:04:00 •The Income Statement - How it relates to you: 00:03:00 •The Cashflow Statement - Introduction: 00:04:00 •The Cashflow Statement - How it relates to you: 00:01:00 •Key Financial Statements - Summary: 00:01:00 •The Money Making Metrics: 00:03:00 •Ratio Analysis: 00:02:00 •Profitability Ratios: 00:03:00 •Operating Ratios: 00:02:00 •Liquidity and Leverage Ratios: 00:03:00 •How Ratio Analysis Impacts you: 00:03:00 •Profit ≠Cash: 00:03:00 •Profit but No Cash: 00:04:00 •Cash but no Profit: 00:05:00 •Why understanding the Cashflow statement matters: 00:04:00 •Managing Days Sales Outstanding: 00:04:00 •Managing Inventory: 00:03:00 •Working Capital - Case Study: 00:05:00 •Return on Investments: 00:04:00 •Return on Investments - Calculations: 00:04:00 •Five Traps: 00:04:00 •Course Completion: 00:01:00 •Assignment - Improve your Financial Intelligence: 00:00:00

Overview In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing.  Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol today! 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? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush.   Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:17:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method.: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00