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The goal of this course is to use Python machine learning to create algorithms that you can use in the real world. You'll start with the basics of machine learning. You'll learn how to create, train, and optimize models and use these models in real-world applications.

Learn how to become an effective primary school teacher through the Primary Teaching Course. Explore essential topics, teaching strategies, and EYFS Framework. Gain insights into Importance of Early Years in Development, child development, EYFS Teaching Techniques and fostering a positive learning environment. Kickstart your teaching career with this comprehensive course!

Quality Guarantee: Promising training excellence, satisfaction gurantee Accredited by: CPD UK & Quality License Scheme Tutor Support Unlimited support via email, till you complete the course Recognised Certification: Accepted by thousands of professional bodies Start Anytime: With 1 year access to the course materials Online Learning: Learn from anywhere, whenever you want This course will help you gain the essential skills for precision and accuracy in the medical field. You will learn Pharmaceutical mathematics, mastering dosage calculations, conversions and medication preparations to proficiently handle crucial medical calculations and medication administration. This course at a glance Accredited by CPD UK Learn household to metric conversions of weight ( pounds(lbs) - Kilograms (kg)) Understand kilograms-grams-milligrams-micrograms conversions Learn days supply, quantity to be dispatched, single-dose, single day, and total volume Understand percentages, strengths, and concentration Know allegation and dilution Get acquainted with the application of percentage, allegation, and dilution Learn hospital maths - flow rate and drip rate Learn how to find R, T, and V in the hospital maths Know dosage calculation based on weight and age Understand what is dosage calculation Learn business maths terminologies, markup and discount, and retail business maths Why Medical Math and Pharmacy Calculations Course right for you? This extensive Medical Math and Pharmacy Calculations Course is beneficial for those who want to understand the nuances of medical maths and learn how to convert time in military/international standard time and learn how to convert Roman numerals and temperatures into Celsius - Fahrenheit. This online Medical Math and Pharmacy Calculations Course will give you an overview of proportion or dimensional analysis, such as household to metric conversions of weight and length, pharmacy maths, business maths. In addition, you will have a basic idea of concepts such as percentages, strengths, and concentration, hospital and compounding maths such as allegation and dilution, and much more. By the end of the course, you will gain theoretical knowledge about hospital maths, dosage calculation, business maths, and pharmacy maths. Medical Math and Pharmacy Calculations Course Details Accredited by International Practitioners of Holistic Medicine (IPHM) is a leading accredited organisation that certifies and regulates alternative therapists, healers, and training providers around the world. After completing the IPHM accredited course you will be eligible to apply for the insurance.   CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. Course Curriculum Introduction to The Course Introduction to The Course Conversions Conversions: Time (Military/international - Standard Time) Conversions: Roman Numerals Conversions: Temperature (Celsius - Fahrenheit) Conversions Using Ratio - Proportion or Dimensional Analysis Household to Metric Conversions of Weight: Pounds (Lbs) - Kilograms (Kg) Household to Metric Conversions of Length: Inches (in) - Centimeters (Cm) Conversions: Kilograms-grams-milligrams-micrograms Conversions: Milligrams & Grains Household to Metric Conversions of Volume: Fl Oz, Tbsp, Tsp - Ml Pharmacy Math Days Supply Quantity to Be Dispensed Single Dose, Single Day, Total Volume Business Math Business Math: Terminologies Business Math: Mark-up / Discount Retail Business Math: Mark-up Amount & Mark-up Percentage Retail Business Math: Discount Amount & Discount Percentage Pharmacy Business Math: Purchase Price, Discount, and Discount Percentage Pharmacy Business Math: Percentage Markup Rate Pharmacy Business Math: Gross Profit / Net Profit Understanding Percentages, Strengths & Concentration Percentages, Strengths & Concentration % W/v, % W/w, % V/v Hospital and Compounding Math: Alligation & Dilution Review of Percentages, Strengths & Concentration Alligation & Dilution Application of Percentage, Alligation & Dilution Practice Problems More Practice Problems Hospital Math: Flow Rate & Drip Rate Flow Rate Vs Drip Rate Finding the R Finding the T Finding the V Dosage Calculation Dosage Calculation Based on Weight & Age Dosage Calculation Based on Body Surface Area (Bsa) Bsa Practice Problems Therapeutic Dose Versus Lethal Dose Therapeutic Range: Minimum and Maximum Dose Dosage Calculation Based on Weight: Mg/kg/day & Mg/kg/dose Pediatric Daily Rate Who should take this course? This online course is suitable for those who want to pursue their career in the medical and pharmacy industry or anyone who wants to enhance their theoretical knowledge in pharmacy and medical maths. Entry Requirements There are no academic entry requirements for this course, and it is open to students of all academic backgrounds. However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection. Assessment Method This medical math and Ppharmacy calculations course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner can grasp from each section. In the assessment pass mark is 60%. Join the Health Coach Training Course Online and learn how to help others achieve their wellness goals. Certification Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

Our expert-designed Functional Skills Maths Level 2 Course has smart learning options that provide the necessary Level 2 numeracy knowledge and skills to excel in Functional Skills Maths. Level 2 Maths Course Highlights: This qualification is equivalent to GCSE grade C or 4 Take the Exam from Home – Guaranteed Fast Track Results Exam Booking within 2 Working Days of Enrolment Remote Exam Online or Paper based both options available Course Duration: 55 hours Unlimited Access to Course Materials Get Free Mock Tests & Free Past Papers Extra 25% Time for people with Learning Difficulties NCFE, Pearson Edexcel, Open Awards and TQUK are all OFQUAL-regulated and nationally recognised The Level 2 Maths Course Online Overview Our course is tailored to meet your specific needs and help you achieve your academic and career goals from the comfort of your home. You also get the opportunity to book Live 1:1 tutor support via Microsoft Teams. With interactive lessons, FREE mock tests, personalised feedback and remote exams, our Maths Level 2 Course ensures a comprehensive and engaging learning experience. Christmas Holiday Information For our remote invigilation service of Functional Skills qualifications, the last accepted booking will be on 19th December 2024. We will reopen for bookings from 3rd January 2025. Results Release For Open Awards: Any results from assessments taken after 30th November 2024 will be published after 2nd January 2025. For NCFE Exams: Results from assessments taken after 11th December 2024 will also be published after 2nd January 2025. Additionally, the period between 20th December 2024 and 2nd January 2025 will not be counted as “working days” for the result release timeframes. Please plan your assessment bookings accordingly. Our last results release prior to Christmas will be on 20th December 2024, with the next results release taking place on 3rd January 2025. Functional Maths Level 2 Course & Exam Details Exam Details Exam slots are available 24*7 from Monday to Sunday. If you are in a rush and would like to book your exam sooner, then you can book your remote online exam within 3 working days for Open Awards, 1 working day of enrolment for NCFE, 2 working days of enrolment for TQUK and within 7 working days for Pearson Edexcel. Please note the exam price advertised on the website for the Open Awards remote invigilation exam is applicable for weekdays (Monday to Friday between 9 am to 5 pm). If you would like to book the Open Awards remote invigilation exam at the weekend then there is an additional £25+Vat applicable. EXAM Booking & Results Details You can decide the exam date and place according to your convenience. Awarding Body Paper-Based Exam in Centre On-Screen Exam in Centre Remote Online Exam – From Home Results Edexcel Book within 15 days Book within 24 Hours Book within 7 working days Get results in 20 working days NCFE Book within 10 working days Book within 24 Hours Book within 2 working days Get results in only 7 days Open Awards N/A N/A Book within 2 working days Get results in only 16 working days TQUK Book within 7 working days Book within 24 Hours Book within 2 working days Get results in only 6 working days *Offline examinations will be held at our Swindon and London centres. Please get in touch with us for more information. The new assessment and result dates by NCFE are: (Only applicable if you are attending the exam in between the following assessment date). Delivery mode: On-screen and RI Assessment date to and from: 16/09/2024 – 25/10/2024 Results release: 01/11/2024 The new assessment and result dates by Open Awards is: (Only applicable if you are attending the exam in between the following assessment date). Delivery mode: Remote Assessment date to and from: 02/09/2024 – 13/09/2024 Results release: 11/10/2024 Delivery mode: Remote Assessment date to and from: 04/11/2024 – 15/11/2024 Results release: 13/12/2024 (Note that this only applies to the mentioned exam type and if you book the exam during the dates mentioned above. Also, this will not affect the schedule of the other exam types and results.) Difference between NCFE, Pearson Edexcel, Open Awards and TQUK NCFE, TQUK, Pearson Edexcel and Open Awards are OFQUAL-regulated and nationally recognised; however, the only difference lies in the exam booking and result turn-around time. You can book your remote online exam within 2 working days of enrolment for NCFE, within 7 working days for Pearson Edexcel, 2 working days of enrolment for TQUK and within 3 working days for Open Awards. You can get your NCFE results in 7 days, your Edexcel results in 20 working days, your TQUK results in 6 working days and your Open Awards results within 16 working days. Universities and apprenticeships accept all of the awarding bodies. This distinction allows learners to choose the awarding body that aligns best with their educational and career goals. How This Course Will Work? This Level 2 Functional Skills Maths course will help you build a solid foundation in mathematics. Throughout the course, it will provide you with various learning materials and activities to enhance your understanding of these subjects. Initial Assessment: To identify the current level of a student's abilities and recommend the appropriate course to enrol in upon completion. Diagnostic Assessment: Identifies skill gaps and produces an individual learning plan Learning Resources: Comprehensive video tutorials, practice quizzes & topic-based tests Progress Tracker: To record your progress in the course Free Mock Test: Access our free mock test facility for professional feedback and to prepare for the final exam. Entry Requirement This level 2 maths qualification is available to all students of all academic backgrounds; no experience or previous qualifications are required. However, you will require a laptop/desktop computer and a good internet connection. Exam Structure The Functional Skills NCFE, Pearson Edexcel, TQUK and Open Awards Qualification in Mathematics Level 2 consist of one externally assessed assessment that comprises two sections- a non-calculator section (calculator prohibited) and a calculator section (calculator permitted). The assessments are available as paper-based and onscreen, on-demand assessments. Section A (Non-calculator) Awarding Body Exam Duration Total Marks Questions Cover Edexcel 25 minutes 16 25% NCFE / Open Awards / TQUK 30 minutes 15 25% Section B (Calculator) Awarding Body Exam Duration Total Marks Questions Cover Edexcel 1 hour 30 minutes 48 75% NCFE / Open Awards / TQUK 1 hour 30 minutes 45 75% Pass Mark (Edexcel): Learners are required to achieve an overall (from sections A and B) (59%) mark to pass the exam. Pass Mark (NCFE): Learners are required to achieve an overall (from sections A and B) (57% – 62%) mark to pass the exam. Please note that the marks vary for individual exam papers, so for all the exam papers, the pass marks are not fixed for the NCFE exam. Pass Mark (Open Awards): Pass Marks for L 2 functional skills maths assessments vary per assessment version and are set following standardisation and awarding activities. Each Maths assessment is designed to enable a minimally competent learner to achieve a pass mark of 36 out of 60. However, the awarding process will determine specifically where the pass mark sits for each assessment version. Therefore, the pass mark may vary between assessments. Pass Mark (TQUK): Pass Marks for level 2 functional skills maths assessments vary per assessment version and are set following standardisation and awarding activities. Recognised Accreditation This Functional Skills Maths Level 2 has been independently accredited by Pearson Edexcel, NCFE, TQUK and Open Awards, also regulated by Ofqual. The Office of Qualifications and Examinations Regulation (Ofqual) is responsible for regulating qualifications, assessments, and examinations in England. Pearson Edexcel is the most prestigious awarding body, for an academic and vocational qualifications. Pearson Edexcel qualifications are regulated by Ofqual and recognised by universities and employers across the world. NCFE is a charity and awarding organisation that provides qualifications in England, Wales, and Northern Ireland. It is regulated by Ofqual in England and recognised in Wales and Northern Ireland. Open Awards is an awarding organisation that offers a wide range of qualifications across various sectors, including education, health and social care, and business. Their qualifications are regulated by Ofqual and are designed to meet the needs of learners and employers. Open Awards also works closely with educational institutions and employers to ensure their qualifications are relevant and up-to-date. TQUK is an awarding organisation approved by Ofqual and offers RQF courses in a variety of sectors. RQF courses have different credit values that can be applied to the National Credit Transfer System. TQUK accredits courses developed by industry experts and collaborates with organisations to ensure the quality and value of the courses provided. Additional Features  Access to On-Demand Classes Opportunity to Book 1:1 Live Tutor Support via Zoom Enrol in Our Course and Prepare for the Exam from Home Get a Free Mock Test with Professional Feedback Course Curriculum Unit 1: Number Lesson 1.1: Numbers and the Number System The number system gives you a general insight into the mathematical operations regarding the given numbers. You will acquire skills in division, multiplication, addition and subtraction, which require steps in real-life contexts. Lesson 1.2: Fractions and Decimals You will be learning many types of fractions, including improper fractions, proper fractions, equivalent fractions and more. Along with this, you will learn Ordering Decimal Numbers, Subtracting Decimals, multiplying and dividing decimals and more, which enables you to apply real-world problem-solving. Lesson 1.3: Percentages You will learn to calculate the Percentage and how to express a Number as a Percentage of Another. Interpreting the Original Value, Calculating Percent Increase and Decrease, and so on. This learning you can easily apply in real-life counting issues along with increasing your rational thinking. Lesson 1.4: Ratio and Proportion You will be learning to calculate the Total Amounts using Ratios, direct Proportion, Inverse Proportion and many more things, which help you in doing comparisons, learning science and engineering and more. Lesson 1.5: Formula You will learn the definition of formulas Formula Using Words, Multi-Step Formulas, Formula Using Letters and so on. Learning formulas has a large impact on real life as these formulas are used extensively in measuring, building infrastructure and more. Unit 2: Measures, Shapes and Space Lesson 2.1: Money Math You will be mastering Solving Money Related Questions, including percentage-based discounts, discounts Related to Fractions, Profit and Percentage, etc. This money math learning will help you to understand money-earning and saving-related issues that you face in daily activities. Lesson 2.2: Units You will learn units and Types of Units, Units of Weight, Units of Length, Units of Capacity, etc. Also, you will gain knowledge about steps to convert between Metric Units, Imperial to Imperial Conversions, and Other Unit Conversions will help pursue a higher university degree. Lesson 2.3: Speed and Density You will be clearing the concept of speed, calculations to find out distance and time, density, Relation between Density, Weight and Volume. Lesson 2.4: Perimeter You will learn to find perimeter and area, Circle, perimeter of triangle etc. which require in measurement, design and planning and so on. Lesson 2.5: Area and Shapes You will gain skills in formulas for calculating area, finding areas of complex shapes, applying area calculations in complex questions, different Types of 3D Shapes, surface area, finding the surface area of complex 3D Shapes, using nets, plans and elevations, etc. learning about area and shapes will certainly help you in building your dream home and more. Lesson 2.6: Volume In the volume classes, you will learn Formulas for calculating volume, Questions based on volumes of different 3D Shapes, finding the Scale in a Diagram, Making Scale Drawings, which are required in building critical thinking skills and more. Lesson 2.7: Coordinates & Angles You will be learning necessary things about the coordinate Grid, How to Read Coordinates on a Grid? Plotting Points on a Grid and more which extensively requires in making video games, medical imaging, physics and more. Unit 3: Handling Data and Information Lesson 3.1: Median and Mode You will be learning about median and mode, which is one of the most interesting mathematical chapters. As you will know how to find the median and mode from the sets of numbers, you can easily implement such learning in household work and other places as well. Lesson 3.2: Mean and Range You will be able to find the mean, median and mode. Knowing how to find these is highly important in all aspects of life. Lesson 3.3: Probability You will learn Probability: Definition and Meaning, Calculating Probabilities, Probability of Something Happening and Something Not Happening, etc. Once you know how to find probability, you can easily detect business profit loss and implement other parts of your life. FAQs The Functional Maths level 2 Course is equivalent to? The functional skills Math level 2 is equivalent to GSCE Maths pass grade. Which one is more difficult between Functional and GCSE Maths courses? The functional skills Maths course is more flexible than the GCSE math course since you have to sit for the official exam in the GCSE courses. Why should I take the Functional Skills Maths instead of the GCSE Maths? The functional maths course is comparatively easier than the GCSE math and additionally the value of it is also more than the GCSE math course. However, you should select the course that suits your needs, as both courses provide different values for different people. How will I purchase this course? First, select your desired course plan among the multiple existing course plans on the right side of your screen, then select the payment type, and once you made the payment, you can access the course any time you want. How will I access the functional skills level 2 course after payment? A confirmation email will be sent to your registered email after payment. Hereafter anytime, you can start your learning journey with Lead Academy. Will I get access to the Course if my location is outside the UK? Yes, you can. Since it is an e-learning course, anyone from anywhere can enrol in our courses. What is an Accredited course? The professional body approves the procedures if any e-learning platform claims its courses are accredited. What is the benefit of doing an accredited course? You will only realize the benefit of having an accredited certificate once you face the corporate world. As employees, job places, and more value the accredited certificate, you must own this certificate by doing the course with us. What is an Edexcel accredited course? Exdexcel is a British multinational education and examination body. If any functional skills training providers claim the course is Edexcel accredited, that means the course has been approved by the governor body of Edexcel. Their certificates have been valued in the UK and worldwide. Is functional skills level 2 maths equivalent to gcse? Functional Skills Level 2 of Maths is equivalent to a GCSE at grade 4 (C) or above. This means that achieving a Level 2 qualification in Functional Skills Maths demonstrates the same level of knowledge and maths skills as attaining a Grade 4 or higher in GCSE Maths. For further information, do give a read to our blog, 'What is Functional Skills Maths Level 2 Equivalent To?' Is this qualification hard? The difficulty may vary depending on the individual's prior knowledge and skill level in maths. However, it is generally considered equivalent in difficulty to a GCSE Grade 4/C, a standard proficiency level in maths. However, with adequate preparation and practice, many individuals find it manageable to achieve a pass. What are the system requirements for remote exam? For Pearson Edexcel and NCFE: To sit your assessment, you’ll need: A laptop/desktop with webcam and microphone; you can’t sit the assessment on a tablet or smartphone a good Wi-Fi connection – recommended minimum 1Mbit/s Upload, minimum 10Mbit/s Download. You MUST use google chrome browser for the exam, as this is recommended by the awarding body. A smartphone or tablet (Apple iOS 8.0 / Android 4.1 or higher) - this will be used to record you taking the assessment. A suitable environment - quiet room with no distractions The link for the assessment sent to your email; remember to check your spam/junk folder. You must activate Airplane mode on your smartphone however you need to be connected to Wi-Fi, so turn on Airplane mode then reactivate your Wi-Fi. Please familiarise yourself with the potential violations as these can potentially lead to the assessment being voided. Ensure ALL equipment is plugged in (including phone for the recording of sessions). Loss of power at any point could lead to the assessment being voided. You must brief other members of your household/workplace that you’re sitting an assessment, and they must not enter the room at any point. There is a 24-hour live chat function within the assessment software for technical support should you need it at any time. For Open Awards: In order to take your exam, you need to have the following equipment: A good quality laptop or PC with a minimum screen size of approx. 14” and minimum resolution of 1024 x 768. A stable internet connection with at least 3mbps. An integrated (i.e., fixed) webcam on your PC/ laptop or a portable webcam. If using a PC/ laptop with an integrated webcam, a reflective surface (e.g., a mirror) must be available. This will be used to show the invigilator the space immediately surrounding your screen and keyboard. A basic (non-scientific) calculator for maths assessments. You will have access to an on-screen calculator but may feel more comfortable using a separate calculator. Please note that all workings need to be added to the assessment platform if you use a separate calculator so that your workings can be marked. Plain paper. You will need to show this to your invigilator at the beginning of the exam to assure them that you do not have access to notes. A dictionary (where allowed). Supported Browsers Chrome: 34.0.1847 or above Microsoft Edge: Version 88.0.705.81 or newer Firefox: 31.0 or above Safari: 6.2 or above Safe Exam Browser 2.0.2 or above Please note: Chromebooks are not compatible with the Safe Exam Browser Browser settings Popups must be allowed. Guidance on how to do this below: Chrome Edge Firefox Safari For TQUK: Exam conditions All remote exams must take place in a controlled environment. Training Qualifications UK (TQUK) defines a controlled environment as a quiet, appropriate space conducive to the undertaking of a remotely invigilated exam. The environment must be: populated only by you, the learner, and no other parties well-lit to allow maximum webcam visibility free from distractions that may cause you to divert your attention away from the computer screen or move outside of the webcam’s viewing range free from notes and posters on the wall free from noise free from personal or sensitive material free from visual or physical access to supporting materials (such as educational texts) free from electronic devices, other than the computer used to undertake the exam. The space, as described above, must meet these requirements throughout the entire duration of the exam. If the exam conditions requirements are not met, the exam may be voided. If, for any reason, you are unable to undertake the exam in a space that meets these requirements, you should inform your training provider/recognised centre at the earliest opportunity and arrange your exam at a time when these conditions can be met. You must have a desktop or laptop computer that is equipped with a working webcam, a stable internet connection, and the Google Chrome web browser (available here). Requirements and guidance for materials: The following relates to materials within the controlled environment and must be followed to ensure compliance: Mobile phones and electronic devices, except for the computer you are using to undertake the exam, must be switched off and stored in an inaccessible location. Smartwatches and other wearable technological devices must be switched off and removed. Headphones must not be worn. Water must be stored in a clear glass or a clear bottle with the labels removed. No other food or drink is permitted. Second monitors are not permitted. Identification must be clearly presented to the camera at the start of an exam. If identification is not provided, or is unclear, at the start of the exam, this will result in the exam being voided. A room sweep must be completed at the start of an exam. If a room sweep is not completed, the exam will be voided. has context menu

The Statistical Analysis Training Course is pivotal in the modern world, offering essential skills that are increasingly demanded across various industries. As businesses and organizations generate vast amounts of data, the ability to analyze and interpret this data becomes crucial. Learning from The Statistical Analysis Training Course equips individuals with expertise in key areas such as probability, hypothesis testing, regression analysis, and predictive analytics, enhancing their employability. In the UK, proficiency gained from this Statistical Analysis Training course can significantly boost job opportunities, with data analysts and statisticians earning an average salary of £35,000 to £50,000 annually. The demand for statistical analysis skills is on the rise, with the sector experiencing a growth rate of 33% over the past five years. Advantages of the Statistical Analysis Training course include a comprehensive understanding of both foundational and advanced statistical concepts, which are integral in roles across finance, healthcare, marketing, and technology. The Statistical Analysis Training Course ensures that learners are well-versed in modern analytical techniques, making them valuable assets in a data-driven economy. As the importance of data analytics continues to grow, so does the value of this training, making it an indispensable tool for career advancement. Key Features: CPD Certified Statistical Analysis Course Free Certificate Developed by Specialist Lifetime Access Course Curriculum: Statistical Analysis Training 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 Learning Outcomes: Grasp fundamental statistical concepts for data analysis proficiency. Understand measures of central tendency and dispersion in datasets. Apply probability theory to make informed statistical decisions. Utilize hypothesis testing techniques to draw meaningful conclusions. Master regression analysis for predictive modelling and trend identification. Embrace Bayesian methods and enhance statistical inference capabilities. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Statistical Analysis Training course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Statistical Analysis Training. Moreover, this course is ideal for: Aspiring data analysts seeking statistical foundations for career advancement. Professionals in research roles aiming to refine statistical analysis skills. Students pursuing degrees in mathematics, economics, or related disciplines. Business professionals looking to leverage data-driven insights for strategic decisions. Anyone interested in enhancing statistical literacy and analytical reasoning abilities. Requirements There are no requirements needed to enrol into this Statistical Analysis Training course. We welcome individuals from all backgrounds and levels of experience to enrol into this Statistical Analysis Training course. Career path After finishing this Statistical Analysis Training course you will have multiple job opportunities waiting for you. Some of the following Job sectors of Statistical Analysis Training are: Data Analyst - £30K to £45K/year. Statistician - £35K to £50K/year. Market Research Analyst - £25K to £40K/year. Business Intelligence Analyst - £35K to £55K/year. Healthcare Data Analyst - £30K to £50K/year. Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Embark on a journey into the world of technology with Spark Generation! Learn the fundamentals of computer science, coding languages, and algorithmic thinking. Discover the logic behind programs and explore the creative potential of digital innovation.

Embark on a journey into the world of technology with Spark Generation and our Cambridge self-paced courses! Learn the fundamentals of computer science, coding languages, and algorithmic thinking. Discover the logic behind programs and explore the creative potential of digital innovation.

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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Overview Help others overcome their fear of mathematics and teach students how to reach their career potentials with numerology. This unique course will train you to become an accomplished mathematical teacher and advance the knowledge of pupils in this area. The Functional Skills Maths course is packed with information regarding Functional Maths and uses varied educational methods to embed the knowledge. You will find that you will quickly attain the ability to teach Maths in a lively and personal way, giving you a genuine advantage in the UK education system. From integers to fractions, and percentages, enrol now and learn to make maths easy. 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 Functional Skills Maths. It is available to all students, of all academic backgrounds. Requirements Our Functional Skills Maths is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 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 13 sections • 67 lectures • 06:56:00 total length •Lecture 1 Introduction: 00:02:00 •Lecture 2 Multiplying any digit number by 11, 22, and 33: 00:09:00 •Lecture 3 Integers and ordering of integers: 00:06:00 •Lecture 4 Addition and Subtractions of Integers: 00:07:00 •Lecture 5 Operations on Integers: 00:04:00 •Lecture 6 Multiplication and Division of Integers: 00:04:00 •Lecture 7 Powers of Integers (Exponents): 00:04:00 •Lecture 8 Complete knowledge about factors and multiples: 00:06:00 •Lecture 9 Divisibility tests for 2,3,4,5,6: 00:07:00 •Lecture 10 Divisibility rules 7,8,9,10,11: 00:06:00 •Lecture 11 Prime Factorization: 00:06:00 •Lecture 12 Highest Common Factor HCF: 00:10:00 •Lecture 13 Least Common Multiple LCM: 00:16:00 •Lecture 14 Relation between LCM and HCF: 00:04:00 •Lecture 15 Classification of Fractions: 00:04:00 •Lecture 16 Convert mixed to improper and improper to mixed fractions: 00:03:00 •Lecture 17 Equivalent Fractions: 00:04:00 •Lecture 18 Comparing Fractions after converting to like fractions: 00:09:00 •Lecture 19 Reducing a fraction to lowest term: 00:04:00 •Lecture 20 Addition and subtraction OF fractions: 00:08:00 •Lecture 21 Multiplication and division of fractions: 00:11:00 •Lecture 22 Word problems on fractions: 00:16:00 •Lecture 23 BODMAS and rules to remove brackets: 00:03:00 •Lecture 24 Simplify expressions using BODMAS rules: 00:05:00 •Lecture 25 Simplify expressions involving fractions using BODMAS: 00:07:00 •Lecture 26 Decimal numbers in relation to fractions: 00:08:00 •Lecture 27 Like and unlike Decimals: 00:05:00 •Lecture 28 Ordering of Decimal numbers: 00:10:00 •Lecture 29 Addition and subtraction of Decimal: 00:07:00 •Lecture 30 Multiplication of Decimal: 00:03:00 •Lecture 31 Division of Decimal: 00:05:00 •Lecture 32 Rational number: 00:02:00 •Lecture 33 Representation of Rational Numbers on Number line: 00:04:00 •Lecture 34 Determining which fraction is terminating or non terminating: 00:05:00 •Lecture 35 shortcut method of writing decimal expansion of fraction to decimal: 00:08:00 •Lecture 36 Rounding to whole number: 00:06:00 •Lecture 37 Rounding to required number of decimals (1 d.p. ): 00:05:00 •Lecture 38 rounding to significant digits: 00:07:00 •Lecture 39 Practice question on three methods of approximation: 00:05:00 •Lecture 40 Estimation: 00:05:00 •Lecture 41 Scientific Notation: 00:07:00 •Lecture 42 Operation on numbers when they are in scientific notation: 00:06:00 •Lecture 43 Percentage to fraction and fraction to percentage: 00:06:00 •Lecture 44 Percentage of a quantity and conversation to decimal: 00:06:00 •Lecture 45 Expressing one quantity as percentage of another quantity: 00:06:00 •Lecture 46 Finding increase decrease percent: 00:05:00 •Lecture 47 Uses of percentages-Word Problems: 00:09:00 •Lecture 48 Ratio- How to express as simple ratio: 00:09:00 •Lecture 49 How to compare Ratios: 00:04:00 •Lecture 50 Word problems on finding ratios: 00:07:00 •Lecture 51To divide a given quantity into a given Ratio: 00:11:00 •Lecture 52 Proportion: 00:04:00 •Lecture 53 Practice problems on Proportion: 00:06:00 •Lecture 54 Continued proportion: 00:06:00 •Lecture 55 Direct Variation ( or proportion): 00:04:00 •Lecture 56 Problems based on Direct proportion: 00:10:00 •Lecture 57 Inverse Variation ( or proportion): 00:10:00 •Lecture 58 Multiple Ratios: 00:10:00 •Lecture 59 Basics - Profit and Loss: 00:04:00 •Lecture 60 More practice problems on Profit & Loss: 00:06:00 •Lecture 61 Selling price formula and Problems: 00:04:00 •Lecture 62 Cost price formula and Problems: 00:03:00 •Lecture 63 Higher problems on Profit and Loss: 00:08:00 •Lecture 64 Basics - Discount.mp4: 00:05:00 •Lecture 65 Practice problems on Discount: 00:04:00 •Lecture 66 Tax: 00:06:00 •Assignment - Functional Skills Maths - Level 2: 00:00:00