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Level 2 Maths & English 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: 110 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 all are OFQUAL-regulated and nationally recognised 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, 2 working days of enrolment for NCFE 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. The new assessment and result dates by NCFE is- Delivery mode: Paper-based Assessment date to and from: 17/06/2024 – 19/07/2024 Results release: 26/07/2024 Delivery mode: On-screen and RI Assessment date to and from: 20/05/2024 – 27/06/2024 Results release: 04/07/2024 (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.) Why is this course right for you? Our expert-designed Functional Skills Maths & English Level 2 Course has smart learning options that provide the necessary numeracy knowledge and skills to excel in Functional Skills Maths and English. 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 Zoom. Course Details for Functional Skills Math & English Level 2 You can decide the exam date and place according to your convenience. Functional Skills Maths Level 2  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 to 32 working days Functional Skills English Level 2  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 to 32 working days *Offline examinations will be held at our Swindon and London centres. Please contact us for more information.  How This Course Will Work? This Level 2 Functional Skills Maths and English 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. You can also check out our GCSE courses. We offer Pearson Edexcel and AQA-accredited GCSE online courses that are widely accepted by universities across the globe. Entry Requirement This level 2 Maths and English 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 Functional Skills Maths Level 2  The Functional Skills NCFE, Pearson Edexcel 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 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 1 hour 30 minutes 45 75% 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 varies 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 Level 2 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.  Functional Skills English Level 2  The Pearson Edexcel, NCFE and Open Awards Functional Skills Qualification in English at Level 2 consist of 3 exams, these are Reading, Writing and Speaking, Listening and Communicating.  Speaking, Listening and Communicating (SLC) Exam Awarding Body Duration Number of Marks Pearson Edexcel / NCFE / Open Awards Up to 25 minutes Pass/Fail SLS Exam Pearson Edexcel / NCFE: Speaking, listening and communicating are assessed through one 5-minute presentation and linked question and answer session in groups of three to five and one 15-minute formal discussion together in groups of three to five learners. This exam will be conducted via Microsoft Teams.  SLS Exam Open Awards: Speaking, listening and communicating are assessed through one 10-minute presentation and linked question and answer session in groups of three to four and one 10-minute formal discussion together in groups of three to five learners. This exam will be conducted via Microsoft Teams.  Reading Exam Awarding Body Duration Number of Marks Pass Mark Pearson Edexcel 75 minutes 35 65% NCFE 60 minutes 30 53% – 57% Open Awards 60 minutes 30 18 out of 30 Reading is assessed through a test consisting of multiple-choice, short open-response and medium open-response questions.  Writing Exam Awarding Body Duration Number of Marks Pass Mark Pearson Edexcel 60 minutes 36 63% NCFE 60 minutes 44 57% – 61% Open Awards 60 minutes 60 36 out of 60. Reading/Writing Exam Pass Mark: Learners are required to achieve an overall percentage of marks mentioned in the above table to pass the English reading exam. However, the awarding process will determine specifically where the pass mark sits for each assessment version. Therefore, the pass mark may vary between assessments.  Recognised Accreditation This Functional Skills English Level 2 has been independently accredited by Pearson Edexcel, NCFE 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. Difference between NCFE and Pearson Edexcel and Open Awards NCFE, 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 and within 3 working days for Open Awards. You can get your NCFE results in 7 days, your Edexcel results in 20 working days and your Open Awards results within 16 to 32 working days. All of the awarding bodies are accepted by universities and apprenticeships. This distinction allows learners to choose the awarding body that aligns best with their educational and career goals. 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 English Level 2: Unit 1 - Speaking and Listening The speaking and listening section entails comprehensive learning and activities, including presenting and narrating skills, argument presentation techniques, and more. Math Level 2: 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 also 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. English Level 2: Unit 2: Reading  Learn to read a text with the help of scanning, skimming, and detailed reading, and also, learn how to find organisational features’ purpose from the text. Maths Level 2: 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 also 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, and Relation between Density, Weight and Volume. Lesson 2.4: Perimeter You will learn to find the perimeter and area, Circle, perimeter of a triangle etc. which require in measurement, design 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 areas 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 is extensively required in making video games, medical imaging, physics and more. English Level 2: Unit 3: Writing The writing part will cover English grammar, including punctuation, spelling, syntax, etc. enabling you to avoid all the writing errors and mistakes. Maths Level 2: 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 What is a functional skills level 2 equivalent to? It is a recognised alternative qualification to GCSEs, and achieving it is equivalent to obtaining a GCSE grade C or level 4. It's often used as a prerequisite for higher education, apprenticeships, and employment in England, Wales, and Northern Ireland.  What is the difference between a Functional skills course and a GCSE course? Both the functional course and GCSE course provide the same skills, but one of the differences is that functional classes are developed for the learner who wants to acquire the skills quickly. Still, GCSE is a lengthy process, and it takes time to end as you have to sit for the test that will be held on an official day.  Do Universities Approve the Functional Courses Certificate? Yes, many universities accept the functional course certificate, but it is better to check whether your desired university approves the functional certificate. The University of Sheffield, the University of Brighton, and the University of East Anglia approved the functional skills Level 2 certificate in the past. So, stay updated with current information.  Why should I get into this combined English and Math course? You should get into this course if you want to learn English and math side by side. You can learn both at a low price. English and math both courses are required at every step of your life. Thus, learn these through the functional skills course quickly and at an affordable price. 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.  I made my payment. How will I get access to the Functional course? A confirmation email will be sent to your registered email after payment. Hereafter anytime, you can start your learning journey with StudyPlex.  I am from outside the UK. Will I get access to the Course? Yes, you can. Since it is an e-learning course, anyone from anywhere can enrol in our courses. 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. Will I get a Job after doing the functional course? Yes, any not. You always need fundamental English, Math and ICT skills wherever you go. These skills are as crucial as your basic needs like food and more. The company wants its employees to have these skills before joining any organization. English is my second language. Can I learn it through a Functional English skill course? Yes, you can. Whether English is your first language or second language, both types of learners can start their learning journey in the Functional Skills Level 1 course. This course is designed so that every kind of learner can learn.  How safe is it to purchase a course over the Internet? StudyPlex has been providing courses over the internet for years, and all our learners' info is safe with us. We have implemented robust security measures to protect our learners' personal and financial information. Additionally, we use secure payment gateways to ensure safe transactions for course purchases.  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

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.

Start your career in Data Science and earn up to £90,000 per month. Are you eager to dive into the high-speed world of Data Science powered by Python? In the UK alone, Data Scientist job postings witnessed a dramatic increase of 67% in 2022, emphasising the burgeoning demand for proficient Python programmers. Amid such a dynamic job market, our online course - Data Science with Python, serves as your stepping-stone to a universe of opportunities. Whether you're taking your first step into the realm of Data Science or aiming to augment your existing skills, our program offers peerless support, ensuring you're industry-ready by the time you complete our course. Our mission is simple - to be your trusted partner every step of the way, from training to employment. In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Scientists, so we can help you get your foot in the door. If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist! If you have any questions, you can contact us. We will be happy to provide you with all the information you need. Why Choose Us? So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python: Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in both Data Science and Python. One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise. Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere. Interview Preparation: No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress. Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee. If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. We believe in the value we provide and want you to feel completely satisfied with your decision to join us. Continuous Career Support: Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. Here are the courses we will provide once you enrol in the program: Course 01: Business and Data Analytics for Beginners Course 02: Quick Data Science Approach from Scratch Course 03: Learn MySQL from Scratch for Data Science and Analytics Course 04: SQL for Data Science, Data Analytics and Data Visualization Course 05: Statistics & Probability for Data Science & Machine Learning Course 06: R Programming for Data Science Course 07: Python Data Science with Numpy, Pandas and Matplotlib Course 08: Complete Python Machine Learning & Data Science Fundamentals Course 09: 2021 Data Science & Machine Learning with R from A-Z Course 10: Python Programming from Scratch with My SQL Database Course 11: Level 2 Python Course Course 12: Machine Learning for Predictive Maps in Python and Leaflet Course 13: Python Programming Bible | Networking, GUI, Email, XML, CGI Course 14: Python for Spatial Analysis in ArcGIS Course 15: Ultimate Python Training for Beginners Course 16: PyScript Fundamentals Training How Can We Offer Job Guarantees? HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector. The Data Scientist with Python Program is completed in 9 easy steps: Step 1: Enrol in the Programme Begin your exciting journey with us by enrolling in the Data Science with Python Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied. After you enrol in the Program, you will get lifetime access to 16 premium courses related to Data Science with Python. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing! Step 2: Initial One-On-One Counselling Session Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path. Step 3 - Certification upon Course Completion After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject. Step 4: CV Revamping Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Science with Python industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. Step 5: Building Network and Submitting CV We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile. Step 6: Interview Preparation With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills. Step 7: Securing Job Interviews Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want. Step 8: Post-Interview Support Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job. Step 9: Celebrate Your New Job! Once you've secured your dream job in Data Science with Python, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role. We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Science with Python begins with us. CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Beginners with an interest in Data Science and Python programming. Programmers and Software Engineers looking to transition into Data Science. Business Analysts and Project Managers aiming to leverage Data Science in their domains. Researchers and Academics who wish to utilise Python for complex data analysis. Requirements No experience required. Just enrol & start learning. Career path Data Scientist: £60,000 - £90,000 Machine Learning Engineer: £65,000 - £100,000 Data Analyst: £40,000 - £60,000 Business Intelligence Analyst: £45,000 - £70,000 Data Engineer: £50,000 - £80,000 Big Data Architect: £70,000 - £120,000 Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included QLS Endorsed Hard Copy Certificate Hard copy certificate - Included Student ID Card Digital certificate - Included

Start your career in Data Science and earn up to £90,000 per month. Are you eager to dive into the high-speed world of Data Science powered by Python? In the UK alone, Data Scientist job postings witnessed a dramatic increase of 67% in 2022, emphasising the burgeoning demand for proficient Python programmers. Amid such a dynamic job market, our online course - Data Science with Python, serves as your stepping-stone to a universe of opportunities. Whether you're taking your first step into the realm of Data Science or aiming to augment your existing skills, our program offers peerless support, ensuring you're industry-ready by the time you complete our course. Our mission is simple - to be your trusted partner every step of the way, from training to employment. In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Scientists, so we can help you get your foot in the door. If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist! If you have any questions, you can contact us. We will be happy to provide you with all the information you need. Why Choose Us? So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python: Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in both Data Science and Python. One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise. Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere. Our aim is to maximise your employment prospects and provide you with a range of exciting opportunities to choose from. Interview Preparation: No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress. Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee. If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. We believe in the value we provide and want you to feel completely satisfied with your decision to join us. Continuous Career Support: Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. Whether you need advice on career advancement, assistance with new projects, or simply a friendly ear to share your achievements, we'll be your trusted partner for long-term success. Here are the courses we will provide once you enrol in the program: Course 01: Business and Data Analytics for Beginners Course 02: Quick Data Science Approach from Scratch Course 03: Learn MySQL from Scratch for Data Science and Analytics Course 04: SQL for Data Science, Data Analytics and Data Visualization Course 05: Statistics & Probability for Data Science & Machine Learning Course 06: R Programming for Data Science Course 07: Python Data Science with Numpy, Pandas and Matplotlib Course 08: Complete Python Machine Learning & Data Science Fundamentals Course 09: 2021 Data Science & Machine Learning with R from A-Z Course 10: Python Programming from Scratch with My SQL Database Course 11: Level 2 Python Course Course 12: Machine Learning for Predictive Maps in Python and Leaflet Course 13: Python Programming Bible | Networking, GUI, Email, XML, CGI Course 14: Python for Spatial Analysis in ArcGIS Course 15: Ultimate Python Training for Beginners Course 16: PyScript Fundamentals Training These courses will help you to develop your knowledge and skills to become a successful Cyber Security Expert. The Data Scientist with Python Program is completed in 9 easy steps: Step 1: Enrol in the Programme Begin your exciting journey with us by enrolling in the Data Science with Python Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied. After you enrol in the Program, you will get lifetime access to 16 premium courses related to Data Science with Python. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing! Step 2: Initial One-On-One Counselling Session Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path. Step 3 - Certification upon Course Completion After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject. Step 4: CV Revamping Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Science with Python industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. Step 5: Building Network and Submitting CV We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile. Step 6: Interview Preparation With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills. Step 7: Securing Job Interviews Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want. Step 8: Post-Interview Support Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job. Step 9: Celebrate Your New Job! Once you've secured your dream job in Data Science with Python, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role. We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Science with Python begins with us. CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Beginners with an interest in Data Science and Python programming. Programmers and Software Engineers looking to transition into Data Science. Business Analysts and Project Managers aiming to leverage Data Science in their domains. Researchers and Academics who wish to utilise Python for complex data analysis. Requirements No experience required. Just enrol & start learning. Career path Data Scientist: £60,000 - £90,000 Machine Learning Engineer: £65,000 - £100,000 Data Analyst: £40,000 - £60,000 Business Intelligence Analyst: £45,000 - £70,000 Data Engineer: £50,000 - £80,000 Big Data Architect: £70,000 - £120,000 Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included QLS Endorsed Hard Copy Certificate Hard copy certificate - Included Student ID Card Digital certificate - Included

Start your career as a Data Analyst and earn upto £35,000/ Month Have you ever imagined commanding a six-figure salary with the power of Python? Welcome to the "Data Analyst with Python - Job Ready Program with Career Support", where the world of big data is at your fingertips, and the only limit is your own curiosity. Explore the revolutionary journey that is geared towards turning raw data into insightful decisions. Our comprehensive program paves the way to becoming a sought-after Data Analyst, unlocking the door to a thriving career field as Python continues to spearhead the data revolution. Our mission is simple - to be your trusted partner every step of the way, from training to employment. In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Analysts with Python expertise, so we can help you get your foot in the door. If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Analyst with Python - Job Ready Program today and start your journey to becoming a successful Data Analyst! Why Choose Us? So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Analyst with Python Job Ready Program: Personalised Guidance: Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some experience, we will guide you towards honing your skills and developing a strong foundation in Data Analysis with Python. One-On-One Consultation Sessions with Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Analyst field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise. Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking IT Helpdesk Support. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere. Interview Preparation: We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress. Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee. Continuous Career Support: Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. . If you have any questions, you can contact us. We will be happy to provide you with all the information you need. Here are the courses we will provide once you enrol in the program: Course 01: Business and Data Analytics for Beginners Course 02: Quick Data Science Approach from Scratch Course 03: Learn MySQL from Scratch for Data Science and Analytics Course 04: SQL for Data Science, Data Analytics and Data Visualization Course 05: Statistics & Probability for Data Science & Machine Learning Course 06: R Programming for Data Science Course 07: Python Data Science with Numpy, Pandas and Matplotlib Course 08: Complete Python Machine Learning & Data Science Fundamentals Course 09: 2021 Data Science & Machine Learning with R from A-Z Course 10: Python from Scratch Course 11: Level 2 Python Course Course 12: Machine Learning for Predictive Maps in Python and Leaflet Course 13: Python Programming Bible | Networking, GUI, Email, XML, CGI Course 14: Python for Spatial Analysis in ArcGIS Course 15: Ultimate Python Training for Beginners Course 16: Python Level 1 Crash Course Course 17: Python Programming from Scratch with My SQL Database These courses will help you to develop your knowledge and skills to become a successful Data Analyst. How Can We Offer Job Guarantees? HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector. The Data Analyst with Python Program is completed in 9 easy steps: Step 1: Enrol in the Programme Begin your exciting journey with us by enrolling in the Data Analyst with Python program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied. After you enrol in the Program, you will get lifetime access to 17 premium courses related to Data Analysis with Python. These courses will teach you the knowledge and skills required to become a successful Data Analyst with Python Programmer. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing! Step 2: Initial One-On-One Counselling Session Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path. Step 3: Certification upon Course Completion After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject. Step 4: CV Revamping Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Finance industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. Step 5: Building Network and Submitting CV We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile. Step 6: Interview Preparation With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills. Step 7: Securing Job Interviews Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want. Step 8: Post-Interview Support Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job. Step 9: Celebrate Your New Job! Once you've secured your dream job in Data Analysis with Python, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role. We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Analysis with Python begins with us. CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is tailored to suit a broad spectrum of learners, including: Aspiring Data Analysts who want to launch a new career in data analytics. Current analysts or professionals from similar fields looking to hone their Python skills and modernise their toolset. Business and IT students or recent graduates desiring a competitive edge in the job market. Career shifters interested in a more dynamic and high-paying field. Any individual who loves working with numbers, solving problems, and has a curiosity for uncovering insights in data. Requirements No experience required. Just enrol & start learning. Career path Data Analyst: £27,000 - £60,000 Senior Data Analyst: £40,000 - £75,000 Data Scientist: £50,000 - £100,000 Data Engineer: £45,000 - £90,000 Analytics Manager: £60,000 - £120,000 Director of Data Science: £90,000 - £150,000 Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included QLS Endorsed Hard Copy Certificate Hard copy certificate - Included Student ID Card Digital certificate - Included

Global Project Management: On-Demand In this course, you will dig deeper-and differently-into project management processes, tools, and techniques, developing the ability to see them through the lens of global and cultural project impacts. In today's increasingly global environment, managing a project with customers and support organizations spread across multiple countries and continents is a major challenge. From identifying stakeholders and gathering requirements, to planning, controlling, and executing the project, the basic logistics of a global project present their own standard challenges. However, with additional cultural, language-based, and regional elements, global projects involve more complexities than teams often realize. There are unique communication needs, cultural awareness elements, varying customs and work expectations, and critical legal differences to consider. In this course, you will dig deeper-and differently-into project management processes, tools, and techniques, developing the ability to see them through the lens of global and cultural project impacts. This will leverage you to problem solve differently on global projects, prevent problems, and ensure success. The goal is for you to effectively navigate the challenges of leading projects with multi-regional footprints and globally diverse sets of stakeholders. What you Will Learn At the end of this program, you will be able to: Determine when a project meets the criteria of being a true global one Articulate global project needs based on the project grid and framework Identify and analyze global project stakeholders Recognize cultural differences and articulate how they impact project work Determine global project estimating, scheduling, and staffing challenges Assess global project risks and develop problem-solving responses Analyze complex cultural situations and align optimal project communication and negotiation tools and techniques Apply best practices for conducting virtual team work and mitigating virtual challenges Evaluate ways to control for global project scope, cost, and procurement Align customer management best practices with global customer needs Implement key global project closing activities Foundation Concepts What is a global project? What makes a global project different? A global project management framework Initiating the Global Project Launching a global project Respecting cultural differences Identifying and analyzing stakeholders Developing the communications plan Defining the ideal global project manager Crafting a global project charter Planning the Global Project Gathering requirements for a global project Defining the scope, region by region Estimating and scheduling for global projects Staffing the global project Developing the global risk management plan Executing the Global Project Managing global stakeholder expectations Embracing cultural diversity Honing global negotiation techniques Procuring goods and services on a global basis Managing global legal and regulatory issues at the micro and macro level Monitoring and Controlling the Global Project Status reporting Virtual communication Cost control Schedule control Scope control Customer satisfaction Closing the Global Project Contract closure at the macro and micro levels Administrative closure with global reach Lessons learned

Age and gravity effects on our skin are offset by non-invasive HIFU treatment using the body's own recuperative powers to lift the skin of the face, neck, under the chin, and décolleté, lift eyebrows and smooth wrinkles and lines. It is safe and effective. HIFU treats tissue otherwise only reached by surgery. HIFU can go beneath the surface of the skin without breaking the outer skin and reach into the dermis and SMAS layer. It is suitable for men as well as women. This training course for HIFU Non-Surgical Facial Therapy is specially developed for the more experienced facial specialist who wants to offer HIFU Non-Surgical Facial Therapy as a new treatment on their menu. Course prerequisites This course is suitable for both medics and non-medics.  Level 3 in Beauty Therapy or equivalent is desirable Good command of English A minimum of 18 years Previous skin and facial training are desirable we suggest that learners new to the industry enrol on our facial and skincare course prior to enrolling on our ClinicCare skin peel course. Course structure A mixture of online study, virtual lectures and an onsite practical session. All courses are intimate with four learners in class 2-1 ratio. Areas covered within the course: Health and safety Anatomy and Physiology Fat types Fat Distribution Role of fat in the body The science behind HIFU for Fat Reduction The science behind HIFU for skin laxity Stages of skin laxity Collage Elastin Fibroblasts Wound healing process Selecting different equipment and the benefits associated Cartridge type Areas suitable for treatment Treatment duration Protocols including frequency, intensity etc Benefits for the client and clinic Contra indications and actions Client suitability and assessment for treatment Risks and side effects Training is complimentary when you purchase the Beautier 4D HIFU machine. Contact us for the course and machine package prices.

Getting Started The OTHM Level 5 Diploma in Project Management aims to enhance learners' practical project management abilities and prepare them for diverse professional environments. Learners have the chance to: 1. Develop expertise in operations management. 2. Enhance skills in project quality management. 3. Gain knowledge of business strategy. 4. Explore responsible business practices. 5. Master project planning and execution. 6. Acquire proficiency in digital business practices. Upon completing this qualification, learners will possess industry-specific and hands-on skills, empowering them to effectively apply their knowledge professionally. This accomplishment will boost their career opportunities and open doors for further educational advancement. Key Benefits Examine the role of management information and systems in facilitating operational management. Demonstrate the capability to utilise various tools, techniques, and information for project control. Develop the capacity to assess an organisation's internal environment and its capabilities. Gain the ability to evaluate how responsible business practices affect business performance. Demonstrate the ability to launch a project and formulate a project plan. Comprehend the diverse roles of digital technologies in both B2B (business-to-business) and B2C (business-to-consumer) markets. Key Highlights Are you worried about the recent changes in Project management? Then, the OTHM Level 5 Diploma in Project Management is the ideal starting point for your career journey. The course will ensure access to the first-class education needed to achieve your goals and dreams and maximise 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 OTHM-approved 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 After completing a Level 5 Diploma in Project Management, individuals can explore various career opportunities in the legal field and related professions. Here are some potential career paths:  Portfolio Manager, with an average salary of £46,439 per year Business analyst with an average salary of £54,398 per year Risk Manager, with an average salary of £79,202 per year Healthcare Project Manager with an average salary of £51,749 per year About Awarding Body OTHM is an established and recognised Awarding Organisation (Certification Body) launched in 2003. OTHM has already made a mark in the UK and global online education scenario by creating and maintaining a user-friendly and skill based learning environment. OTHM has both local and international recognition which aids OTHM graduates to enhance their employability skills as well as allowing them to join degree and/or Master top-up programmes. OTHM qualifications has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through 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 Assignment-based Assessment (Formative and Summative) No exam Entry Requirements These qualifications are intended for learners typically 18 years and older. Learners' entry profiles are expected to encompass at least one of the following criteria:  A relevant Level 4 Diploma qualification or its equivalent credential. Completion of GCE Advanced level courses in three subjects or an equivalent qualification. Mature learners aged over 21 with pertinent management experience (prior experience verification required from the delivery centre before registration) International students whose first language is not English will need to have a score of 5.5 or above in IELTS (International English Language Testing System) Progression Successful completion of the OTHM Level 5 Diploma in Project Management provides learners the opportunity to: Option for OTHM Level 6 Diploma in Project Management; or Approved qualification for Year 3 entry to UK Bachelor's degree. Why gain a OTHM Qualification? Quality, Standards and Recognitions- OTHM qualifications are approved and regulated by Ofqual (Office of the Qualifications and Examinations Regulation); hence, the learners can be very confident about the quality of the qualifications as well. Career Development to increase credibility with employers- All OTHM qualifications are developed to equip learners with the skills and knowledge every employer seeks. The learners pursuing an OTHM qualification will obtain an opportunity to enhance their knowledge and grow key competencies to tackle situations and work on projects more effectively, which will, in turn, give learners the potential to get promotions within the workplace. Alternatively, it allows them to progress onto an MBA top-up/Bachelor's degree / Master's degree programme around the World. Flexible study options- All OTHM qualifications have a credit value, which tells you how many credits are awarded when a unit is completed. The credit value will indicate how long it will normally take you to prepare for a unit or qualification. Three different types of qualification are: The award is achieved with 1 - 12 credits The certificate is completed with 13 - 36 credits The diploma is completed with at least 37 credits 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- Operations Management in Projects Reference No : J/650/4871 Credit : 20 || TQT : 200 This unit aims to foster learners' knowledge and comprehension of operations management across diverse organisational contexts. It scrutinises various facets of operations management about formulating, strategising, overseeing, and enhancing business operations. UNIT2- PROJECT QUALITY MANAGEMENT Reference No : K/650/4872 Credit : 20 || TQT : 200 This unit will explore the notion of quality, the procedures for managing quality, and their implications within projects and project management. UNIT3- BUSINESS STRATEGY AND SUSTAINABILITY Reference No : L/650/4873 Credit : 20 || TQT : 200 This unit aims to empower learners with insights into the intersection of business and society, equipping them with the skills needed to exercise responsible leadership for organisational sustainability. Learners will develop competencies in stakeholder engagement, macro-environment analysis, and offering evidence-based solutions for addressing business challenges. UNIT4- RESPONSIBLE BUSINESS PRACTICES Reference No : M/650/4874 Credit : 20 || TQT : 200 This unit enables learners to acquire the knowledge and competencies needed to critically assess the intricate role of business practices within global systems and to comprehend the challenges linked to responsible business transformation. UNIT5- PROJECT PLANNING, EXECUTION AND EVALUATION Reference No : R/650/4875 Credit : 20 || TQT : 200 In this hands-on unit, learners will implement project management strategies within a real-world business project. They will engage in self-directed and proactive study, initiate and formulate a client brief, and create efficient solutions. Learners will also have the chance to oversee a client project from its inception to conclusion, adhering to industry-standard methodologies. UNIT6- DIGITAL BUSINESS PRACTICES Reference No : T/650/4876 Credit : 20 || TQT : 200 In this unit, learners will grasp the influence of digital technologies on business operations. They will explore how these technologies align with business goals, foster customer engagement, enhance sales, and elevate customer service standards. This unit equips learners with practical insights into effectively utilising relevant technologies and applying modern digital approaches in business. 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.

Getting Started The OTHM Level 4 Diploma in Accounting and Business aims to include fundamental business accounting and financial management expertise. This allows the learner to develop the skills required to boost company growth regarding budgets and cash flows. This qualification is intended to help accountants advance their careers. After completing this course, the learner can qualify for the next level. The qualification awarded by OTHM at RQF Level 3 represents practical knowledge, skills, capabilities, and competencies that are assessed in academic terms as equivalent to GCE AS/A Levels.  Key Benefits The qualification will benefit learners to: The interface between the general economic environment and business activity. Understand and apply the principles of financial accounting in a business setting. Develop quantitative skills to apply business concepts in accounting, finance, and human resource management. Understand the functions of management accounting in business. Completing the OTHM Level 4 Diploma in Accounting and Business provides learners with the opportunity for a wide range of academic progressions, including progression to relevant OTHM Level 5 Diplomas. Ofqual (Office of the Qualifications and Examinations Regulation) approves and regulates the qualification. Key Highlights Do you wish to place yourself in a career in accounting that adapts to business? Then, the OTHM Level 4 Diploma in Accounting and Business is the ideal starting point for your career journey. The qualification gives learners an understanding of accounting and business in the broader business context. It offers industry-focused skills to manage business finances, budgets and cash flow effectively, thereby playing a vital role in the growth of the business. Remember! The assessment for the qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our OTHM approved tutors, who would be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways The OTHM Level 4 Diploma in Accounting and Business can open many career pathways including, but not limited to: Junior Accountant with an estimated average salary of £26,308 per annum Accounting Officer with an estimated average salary of £29,048 per annum Accounting Clerk, with an estimated average salary of £32,073 per annum Accounting secretary with an estimated average salary of £24,107 per annum   About Awarding Body OTHM is an established and recognised Awarding Organisation (Certification Body) launched in 2003. OTHM has already made a mark in the UK and global online education scenario by creating and maintaining a user-friendly and skill based learning environment. OTHM has both local and international recognition which aids OTHM graduates to enhance their employability skills as well as allowing them to join degree and/or Master top-up programmes. OTHM qualifications has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through 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. This 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 Learners must be 18 years old or older. Relevant NQF/QCF/RQF Level 3 Award/Diploma or at the level of GCE/GCSE or equivalent qualification Learners over 21 with relevant management experience International students whose first language is not English must score 5.5 or above in the IELTS Examination or equivalent. Progression Learners completing the OTHM Level 4 Diploma in Accounting and Business will progress to: Wide range of academic progressions, including the Level 5 Diploma in Accounting and Business qualification. Progression to career development. Why gain a OTHM Qualification? Quality, Standards and Recognitions- OTHM qualifications are approved and regulated by Ofqual (Office of the Qualifications and Examinations Regulation); hence, the learners can be very confident about the quality of the qualifications as well. Career Development to increase credibility with employers- All OTHM qualifications are developed to equip learners with the skills and knowledge every employer seeks. The learners pursuing an OTHM qualification will obtain an opportunity to enhance learning and grow key competencies to tackle situations and work on projects more effectively, which will, in turn, give learners the potential to get promotions within the workplace. Alternatively, it allows them to progress onto an MBA top-up/Bachelor's degree / Master's degree programme around the World. Flexible study options- All OTHM qualifications have a credit value, which tells you how many credits are awarded when a unit is completed. The credit value will indicate how long it will normally take you to prepare for a unit or qualification. Three different types of qualification are: The award is achieved with 1 - 12 credits The certificate is completed with 13 - 36 credits The diploma is completed with at least 37 credits The OTHM Level 4 Diploma in Accounting and Business consists of 6 mandatory units for a combined total of 120 credits, 1200 hours Total Qualification Time (TQT) and 480 Guided Learning Hours (GLH) for the completed qualification. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- The Accountant's Environment Reference No : R/617/3292 Credit : 20 || TQT : 200 The aim of this unit is to familiarise learners with the accountant's environment in relation to different organisation structures, environmental factors, professional ethics and regulation. UNIT2- Quantitative Methods Reference No : L/617/3291 Credit : 20 || TQT : 200 The aim of the unit is to develop learners' skills in using quantitative methods including representing information to inform decision making in an organisation, and using statistical methods to provide meaningful financial and accounting information, applying these skills to a real world case study. UNIT3- Financial Accounting Reference No : J/617/3290 Credit : 20 || TQT : 200 The aim of this unit is for the learner to develop their skills in financial accounting, including value inventory, year-end adjustments, and final accounts, applying these to real world case studies. UNIT4- Management Accounting Reference No : R/617/3289 Credit : 20 || TQT : 200 The aim of the unit is for learners to develop their skills in management accounting, including preparation of budgets, costing, capital expenditure appraisal, and to apply these skills to a real world case or case study UNIT5- Management Concepts and Practice Reference No : L/617/3288 Credit : 20 || TQT : 200 The aims of the unit are to provide learners with a thorough grounding in theories of leadership and management, and specifically the dynamics of motivation and team work as applied to teams and organisations. UNIT6- Business Economics Reference No : J/617/3287 Credit : 20 || TQT : 200 The aim of the unit is for learners to understand the macro- and micro-economic factors that impact on businesses and the international environment as a whole. 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.

"Start your career as a Business Intelligence Analyst and earn up to £70,000 per Year." Looking to capitalise on the 27% surge in demand for Data and Business Intelligence Analysts in the UK? Our 'Data and Business Intelligence Analyst Job Ready Program' packs 5 powerful courses into one complete package, guaranteeing real-world job readiness. With comprehensive career support and a money-back promise, your success isn't just anticipated - it's assured! Our mission is simple - to be your trusted partner every step of the way, from training to employment. In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data and Business Intelligence Analysts, so we can help you get your foot in the door. If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data and Business Intelligence Analyst Job Ready Program today and start your journey to becoming a successful Data and Business Intelligence Analyst! If you have any questions, you can contact us. We will be happy to provide you with all the information you need. Learning Outcomes: Master the art of transforming raw data into meaningful insights. Gain proficiency in industry-standard BI and data analysis tools. Develop strong SQL, Python, and data visualisation skills. Understand predictive analytics and machine learning concepts. Learn to create interactive dashboards and reports. Hone critical thinking for effective data-driven decision-making. Gain hands-on experience through real-world projects. Achieve competency in data governance and management best practices. Here are the courses we will provide once you enrol in the program: Course 01: Business Intelligence Analyst Course Course 02: Business Intelligence and Data Mining Course 03: Raising Money & Valuations Course 04: Uniform System of Accounting for Lodging Industries Part 1 Course 05: Business Performance Management Course 06: Business Studies Course 07: Advanced Excel Analytics Course 08: Data Science & Machine Learning with R Course 09: Quick Data Science Approach from Scratch Course 10: SQL for Data Science, Data Analytics and Data Visualization Course 11: Python Data Science with Numpy, Pandas and Matplotlib Course 12: Complete Python Machine Learning & Data Science Fundamentals Course 13: Set Menu Prices for your restaurant using data Course 14: Data Analysis In Excel Course 15: Reporting and Data Course 16: Excel Pivot Tables for Data Reporting How Can We Offer Job Guarantees? HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector. The Data and Business Intelligence AnalystJob Ready Program is completed in 9 easy steps: Step 1: Enrol in the Programme Begin your exciting journey with us by enrolling in the Data and Business Intelligence Analyst Job Ready Program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied. After you enrol in the Program, you will get lifetime access to 6 premium courses related to Web Development. These courses will teach you the knowledge and skills required to become a successful Data and Business Intelligence Analyst. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing! Step 2: Initial One-On-One Counselling Session Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path. Step 3: Certification upon Course Completion After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject. Step 4: CV Revamping Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the finance industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. Step 5: Building Network and Submitting CV We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile. Step 6: Interview Preparation With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills. Step 7: Securing Job Interviews Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want. Step 8: Post-Interview Support Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job. Step 9: Celebrate Your New Job! Once you've secured your dream job in web development, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role. We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful Data and Business Intelligence Analyst career begins with us. CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Data and Business Intelligence Analyst Job Ready Program is ideal for: Aspiring Data and Business Intelligence Analyst seeking comprehensive training and industry-specific career guidance. Individuals looking to transition into a data-based role and require personalised mentorship. Graduates wanting to enhance their employability with tailored CV building and interview preparation. Career changers looking for an all-in-one solution to securing a job in the finance industry. Data Analysis enthusiasts desiring to leverage industry connections for job opportunities in business development. Career path Junior Data Analyst: £26,000 - £35,000 Data Analyst: £35,000 - £50,000 Senior Data Analyst: £50,000 - £70,000 Business Intelligence Analyst: £40,000 - £60,000 Senior Business Intelligence Analyst: £60,000 - £80,000 Data Scientist: £70,000 - £100,000 Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included QLS Endorsed Hard Copy Certificate Hard copy certificate - Included Student ID Card Digital certificate - Included