538 Data Analyst courses delivered Online

Level 7 QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

For those interested in the field of genetics and computational biology, who want to gain a deep understanding of the tools and algorithms used in bioinformatics, we have this Bioinformatics & Computational Genomics: Algorithms & Tools course. With the explosion of data in the field of genomics, it can be overwhelming to keep up with the latest tools and techniques in bioinformatics. Without a strong foundation in this field, it can be difficult to navigate the complex algorithms and tools required to make meaningful contributions. Our Bioinformatics & Computational Genomics course provides a comprehensive introduction to the most important algorithms and tools in the field, as well as the latest research in computational genomics. Learning Outcomes: Gain a thorough understanding of the fundamental principles and concepts in bioinformatics and computational genomics. Develop the ability to analyse and interpret genomic data using advanced algorithms and computational tools. Explore the structure and function of proteins, and understand their significance in biological systems. Acquire knowledge of the latest advancements in computational genomics and their application in various research areas. Develop critical thinking skills to tackle complex problems in bioinformatics and propose innovative solutions. Unlock the world of Bioinformatics & Computational Genomics with our comprehensive course. Delve into the fascinating realm of genetic data analysis, algorithms, and tools, and discover how they shape our understanding of complex biological systems. Throughout this immersive learning experience, you will explore diverse topics, including computational genomics, protein structure and function, and applied bioinformatics. With a strong focus on theoretical concepts, this course equips you with the essential knowledge to navigate the vast landscape of bioinformatics research. Embark on a transformative journey as you unravel the mysteries hidden within the genomes. Our carefully designed curriculum covers the key principles, algorithms, and tools that drive breakthroughs in bioinformatics. By delving into the intricacies of genomic data analysis, you will gain valuable insights into the structure and function of proteins, enabling you to decipher the language of life at a molecular level. Immerse yourself in the world of computational genomics and embrace the power of algorithms in unlocking the secrets of genetic information. This course is tailored for individuals passionate about genomics and computational biology. Whether you're an aspiring researcher, a healthcare professional, or a biology enthusiast, this course will ignite your curiosity and expand your horizons. No prior knowledge of bioinformatics is required, as we provide a solid foundation to help you navigate this captivating field. Enrol in the course right now! Certification Upon completion of the Bioinformatics & Computational Genomics: Algorithms & Tools course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The target audience for the course is: Researchers looking to enhance their knowledge and expertise in bioinformatics and computational genomics. Healthcare professionals interested in understanding the computational aspects of genomics and its applications. Biology students seeking to explore the intersection of biology and computer science. Enthusiasts eager to unravel the mysteries of genomics and gain a deeper understanding of the computational tools used in bioinformatics. Career path Some of the career paths related to this field are: Bioinformatics Analyst: £30,000 - £50,000 per annum Computational Genomics Researcher: £35,000 - £60,000 per annum Data Scientist (Genomics) £40,000 - £70,000 per annum Genomic Data Analyst: £35,000 - £55,000 per annum Bioinformatics Software Developer: £40,000 - £65,000 per annum Academic Researcher (Bioinformatics): £35,000 - £70,000 per annum

48-Hour Knowledge Knockdown! Prices Reduced Like Never Before! Have you ever looked at a map and wondered how it was created? Have you ever wanted to gain the skills to analyse spatial data? Look no further than our Spatial Analysis in ArcGIS bundle. With our QLS-endorsed Spatial Analysis in ArcGIS course, you'll gain a deep understanding of geographic information systems and how to utilise ArcGIS software for spatial data analysis. Plus, receive a free QLS hardcopy certificate upon completion, an essential addition to your credentials. But the learning doesn't stop there. Our bundle includes ten more relevant courses, all CPD-QS accredited. From ArcGIS for Hydrology to Web Scraping and Mapping Dam Levels in Python and Leaflet, you'll gain a comprehensive skill set in the field of spatial analysis. Don't just take our word for it. Our courses have been meticulously designed by experienced people to provide you with a theoretical understanding of the subject matter. And with our user-friendly platform, you can learn at your own pace and convenience. Unlock the power of spatial analysis with our bundle today. Enrol now and start your journey towards becoming a skilled spatial analyst. This Spatial Analysis in ArcGIS Bundle Package includes: Course 01: Award in Spatial Analysis in ArcGIS at QLS Level 2 10 Premium Additional CPD QS Accredited Courses - Course 01: ArcGIS for Hydrology Course 02: Remote Sensing in ArcGIS Course 03: QGIS Cartography Course 04: Business Intelligence and Data Mining Diploma Course 05: Python Data Science Course 06: Spatial Data Visualization and Machine Learning in Python Level 4 Course 07: Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4 Course 08: Learn to Use Python for Spatial Analysis in ArcGIS Course 09: Maps in R Shiny and Leaflet Course 10: The Basics of ArcGIS for Hydrology Why Prefer This Spatial Analysis in ArcGIS Bundle? You will receive a completely free certificate from the Quality Licence Scheme Option to purchase 10 additional certificates accredited by CPD Get a free Student ID Card - (£10 postal charges will be applicable for international delivery) Free assessments and immediate success results 24/7 Tutor Support After taking this Spatial Analysis in ArcGIS bundle courses, you will be able to learn: Develop a comprehensive understanding of spatial analysis and its applications in the industry. Gain practical experience using ArcGIS software for spatial data analysis and hydrology. Learn to use remote sensing techniques in ArcGIS for data collection and analysis. Master the art of cartography using QGIS software. Gain expertise in business intelligence, data mining, and data science using Python. Explore spatial data visualisation and machine learning using Python. Learn how to use R Shiny and Leaflet for creating interactive maps. ***Curriculum breakdown of Spatial Analysis in ArcGIS*** Module 01: Point Density Analysis Module 02: Raster Calculator and Vector Isolation Module 03: Raster to Topography Module 04: Raster Reclassification Module 05: Raster Overlay Module 06: Slope Analysis and Hydrology tools Module 07: Introduction to TIFF Files Module 08: Introduction to 3D Surfaces Module 09: Satellite Images and TIN Surfaces Module 10: Exercise How is the Spatial Analysis in ArcGIS Bundle Assessment Process? You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you successfully pass the exams CPD 160 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Professionals looking to expand their skill set in the field of spatial analysis. Graduates seeking to enhance their employability in the GIS industry. Individuals seeking to understand spatial data analysis for research purposes. Students pursuing a degree in GIS or a related field. Career path This bundle will be beneficial for anyone looking to pursue a career as: GIS Analyst: £22,000 - £35,000 per annum. GIS Developer: £30,000 - £50,000 per annum. Spatial Data Scientist: £30,000 - £70,000 per annum. Data Analyst: £25,000 - £40,000 per annum. Business Intelligence Analyst: £35,000 - £60,000 per annum. Hydrologist: £25,000 - £40,000 per annum. Certificates Award in Spatial Analysis in ArcGIS at QLS Level 2 Hard copy certificate - Included After successfully completing the course, you can order an original hardcopy Certificate of Achievement endorsed by the Quality Licence Scheme. This certificate will be delivered to your home, free of charge. To obtain the additional Quality Licence Scheme Endorsed Certificate, you will need to pay the corresponding fee based on the level of the courses: Level 1: £59 Level 2: £79 Level 3: £89 Level 4: £99 Level 5: £119 Level 6: £129 Level 7: £139 CPD QS Accredited Certificate Digital certificate - £10 Upon successfully completing the Bundle, you will need to place an order to receive a PDF Certificate for each course within the bundle. These certificates serve as proof of your newly acquired skills, accredited by CPD QS and will cost you £10 for each course. Also, the certificates are recognised throughout the UK and internationally. CPD QS Accredited Certificate Hard copy certificate - £29 International students are subject to a £10 delivery fee for their orders, based on their location.

Harness the unlimited power of Microsoft Access by creating and maintaining your own basic database system, as well as learning how to develop user-friendly programs. Microsoft Access is a well-known and widely used data-management software application. This Microsoft Access course will teach you how to make the most of this versatile and useful programme, so sign Microsoft Access course up today to quickly gain a valuable new skill that will broaden your portfolio and advance your career. After completing this Microsoft Access course, you will have mastered the most commonly used Access tools and will be able to complete any access task with efficiency and grace. So why wait any longer? Enrol now and become a Microsoft Access guru! Upon completion of this Microsoft Access course, you will be able to: Fully understand tables, queries, reports, and forms Make useful database tables and effective reports Build dynamic user data forms Effectively retrieve data using access queries Automate access database tasks with Macros and VBA And more Why Prefer This Microsoft Access Course? Opportunity to earn a certificate accredited by CPDQS. Get a free student ID card! (£10 postal charge will be applicable for international delivery) Innovative and Engaging Content. Free Assessments 24/7 Tutor Support. *** Course Curriculum *** Here is the curriculum breakdown of the Microsoft Access course: Microsoft Access for Beginners Module 01 Orientation to Microsoft Access Create a Simple Access Database Get Help and Configure Options in Microsoft Access Module 02 Modify Table Data Sort and Filter Records Module 03 Create Basic Queries Sort and Filter Data in a Query Perform Calculations in a Query Module 04 Create Basic Access Forms Work with Data on Access Forms Module 05 Create a Report Add Controls to a Report Enhance the Appearance of a Report Prepare a Report for Print Organize Report Information Format Reports Assessment Process Once you have completed all the modules in the Microsoft Access course, you can assess your skills and knowledge with an optional assignment. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Microsoft Access Course is for: Users wishing to advance their understanding of Microsoft Access from beginner to advanced Those who have used Access but want to learn some little-known tips, tricks, and shortcuts in order to become more efficient. This Microsoft Access course is also appropriate for students who have prior experience with Access and want to learn more about it. Entrepreneurs, office workers, teachers, and students interested in database work Requirements You will not need any prior background or expertise to enrol in this Microsoft Access Course. Career path Upon completion of this Microsoft Access course, learners will be able to add their new skills to their CV and take the very first step towards the following careers: Database Administrator: £37,000 Data Analyst: £32,000 Office Manager: £28,000 Administrative Assistant: £22,000 Business Analyst: £40,000 Project Coordinator: £27,000 Certificates CPDQS Accredited Certificate Digital certificate - £10 CPDQS Accredited Certificate Hard copy certificate - £29 If you are an international student, then you have to pay an additional 10 GBP as an international delivery charge.

Overview We live in an era where data, data and data surround us. You need to share something one way or another to use most of the services around you; just name it. Whether it is about reading a blog post, visiting a website, surveying for a service, seeing any social media post, or looking for offers, you must share some data, if not anything, and your email, at least.But do you ever realise why, in all these situations, you need to share your data? Because your data is oxygen in this world. Companies want to know what you are thinking or what you are about to do before you even think or are about to do it. Sounds crazy, right? Don't be.It is a new branch of knowledge and profession. A data analyst gathers, cleans, and evaluates data sets to find an explanation or resolve an issue. The most common tool for doing these is Microsoft Excel. Our Data Analysis in Microsoft Excel Complete Training course will prepare you to use Microsft Excel in data analysis. What Can You Expect To Achieve By Completing This Course? Proficiency in modifying and organising data within Excel worksheets. Skills in working with lists and effectively analysing data. Ability to create visual representations of data using charts and graphs. Competence in using PivotTables and PivotCharts for data summarisation and analysis. Command in managing multiple worksheets, workbooks, and advanced Excel functions for data manipulation and forecasting. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Data Analysis in Microsoft Excel Complete Training. It is available to all students, of all academic backgrounds. Requirements Our Data Analysis in Microsoft Excel Complete Training is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G.There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 11 sections • 31 lectures • 04:46:00 total length •Insert, Delete, and Adjust Cells, Columns, and Rows: 00:10:00 •Search for and Replace Data: 00:09:00 •Use Proofing and Research Tools: 00:07:00 •Sort Data: 00:10:00 •Filter Data: 00:10:00 •Query Data with Database Functions: 00:09:00 •Outline and Subtotal Data: 00:09:00 •Apply Intermediate Conditional Formatting: 00:07:00 •Apply Advanced Conditional Formatting: 00:05:00 •Create Charts: 00:13:00 •Modify and Format Charts: 00:12:00 •Use Advanced Chart Features: 00:12:00 •Create a PivotTable: 00:13:00 •Analyze PivotTable Data: 00:12:00 •Present Data with PivotCharts: 00:07:00 •Filter Data by Using Timelines and Slicers: 00:11:00 •Use Links and External References: 00:12:00 •Use 3-D References: 00:06:00 •Consolidate Data: 00:10:00 •Use Lookup Functions: 00:12:00 •Trace Cells: 00:05:00 •Watch and Evaluate Formulas: 00:10:00 •Apply Data Validation: 00:13:00 •Search for Invalid Data and Formulas with Errors: 00:04:00 •Work with Macros: 00:18:00 •Create Sparklines: 00:07:00 •MapData: 00:07:00 •Determine Potential Outcomes Using Data Tables: 00:08:00 •Determine Potential Outcomes Using Scenarios: 00:09:00 •Use the Goal Seek Feature: 00:04:00 •Forecasting Data Trends: 00:05:00

Navigating a job loss in the technology field requires specialized strategies. This course focuses on helping individuals recover from job loss, exploring technology trends, and preparing for a successful career change. Delve into modules covering job-market insights, emotional recovery, technological advancements, and effective job hunting in the tech industry. Learning Outcomes: Understand the intersection of job loss and the technology industry. Emotionally cope with the challenges of job loss and recovery. Explore emerging technology trends and their impact on the job market. Strategize a successful career change within the technology sector. Develop effective job-hunting techniques tailored to the technology field. Enhance your resume and online professional presence. Leverage networking opportunities in the technology industry. Prepare for tech-focused interviews and assessments. Why buy this Recovering from a Job Loss in Technology?  Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Recovering from a Job Loss in Technology you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Recovering from a Job Loss in Technology course is ideal for Technology professionals who have experienced job loss. Individuals seeking to transition their careers within the technology sector. Recent graduates looking to enter the tech job market. Tech enthusiasts interested in staying updated on industry trends. Prerequisites This Recovering from a Job Loss in Technology was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path IT Support Specialist - Average Salary: £20,000 - £30,000 per year. Software Developer - Average Salary: £30,000 - £50,000 per year. Network Engineer - Average Salary: £30,000 - £45,000 per year. Data Analyst - Average Salary: £25,000 - £40,000 per year. IT Project Manager - Average Salary: £40,000 - £60,000 per year. Course Curriculum Module 01: Job and Technology Job and Technology 00:18:00 Module 02: Getting Over Getting Over 00:11:00 Module 03: Technology Trends Technology Trends 00:14:00 Module 04: Career Change Career Change 00:14:00 Module 05: Job Hunting Job Hunting 00:19:00 Assignment Assignment - Recovering from a Job Loss in Technology 00:00:00

Boost your advanced analytics skills by choosing our excellent course. We are providing one of the best online data analytics programs!

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.

Dive deep into the 'Study Skills for Healthcare' course, a comprehensive guide designed specifically for healthcare aspirants. This tailored curriculum offers insights into vital topics ranging from mastering study techniques to effectively presenting one's work. With dedicated modules on primary research, questionnaire surveying, and methods of evaluating one's work, learners are equipped to conquer challenges in their educational journey. Moreover, the course touches upon unique barriers faced by health workers, ensuring that every student emerges with a clear strategy for academic success. Learning Outcomes Gain proficiency in advanced study techniques tailored for healthcare disciplines. Acquire skills in presenting and reviewing academic work effectively. Understand and employ both primary and secondary research methodologies. Design and conduct efficient questionnaire surveys. Recognise and navigate potential barriers faced by healthcare workers. Why buy this Study Skills for Healthcare course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Study Skills for Healthcare there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Study Skills for Healthcare course for? Individuals aspiring to join the healthcare sector. Current healthcare students looking to enhance their study techniques. Health workers aiming to deepen their research skills. Anyone desiring to effectively plan and review academic work. Those keen on understanding challenges specific to health workers. Prerequisites This Study Skills for Healthcare does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Study Skills for Healthcare was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Healthcare Research Analyst: £28,000 - £45,000 Health Services Manager: £30,000 - £55,000 Clinical Data Analyst: £27,000 - £50,000 Medical Writer: £25,000 - £48,000 Healthcare Consultant: £35,000 - £60,000 Health Policy Advisor: £32,000 - £58,000 Course Curriculum Module 01: Study Skills Study Skills 00:16:00 Module 02: Presenting Your Work Presenting Your Work 00:14:00 Module 03: Primary Research Methods Primary Research Methods 00:16:00 Module 04: Questionnaire Surveying & Secondary Research Questionnaire Surveying & Secondary Research 00:14:00 Module 05: Study Skills Benefits & Planning Study Skills Benefits & Planning 00:13:00 Module 06: Reviewing Work & Evaluation Methodology Reviewing Work & Evaluation Methodology 00:16:00 Module 07: Barriers for Health Workers Barriers for Health Workers 00:14:00

24-Hour Knowledge Knockdown! Prices Reduced Like Never Before Thinking about a career in healthcare? Did you know that over 1.5 million people are employed in the NHS in England alone? With an ever-growing demand for qualified professionals, there's no better time to enter the field. But where do you start? This comprehensive bundle provides the foundational knowledge and practical skills you need to kickstart your healthcare journey. This Clinical Coding, Terminology and Jargons bundle equips you with a Diploma in Clinical Governance, the cornerstone of effective healthcare delivery. You'll delve into clinical coding, a vital skill for accurate health record keeping and resource allocation. Additionally, you'll gain hands-on experience in essential procedures like phlebotomy and catheterization, alongside core knowledge of anatomy, physiology, and infection control. Courses included in this package: Course 01: Clinical Coding Course 02: Medical Clinical Coding Inpatient Training Course 03: Medical Terminology Course 04: Medical & Clinical Administration Diploma Course 05: Diploma in Clinical Governance Course 06: Medical Terminology Course 07: Learn Medical Clinical Coding Using 3M Software Course 08: Control and Administration of Medicines Course 09: Medical Law Course 10: Healthcare GDPR Course 11: Clinical Observations Skills By mastering clinical coding, terminology, and best practices, you'll unlock a world of career opportunities and contribute significantly to patient care. Enrol today and embark on your rewarding journey in healthcare! Learning Outcomes of Clinical Coding, Terminology and Jargons Explain the principles of clinical governance and its importance in healthcare. Apply accurate clinical coding practices based on relevant classification systems. Demonstrate proficiency in performing clinical observations and documenting findings. Describe the anatomy and physiology of the human body in relation to healthcare. Implement effective infection control measures to ensure patient safety. Perform phlebotomy procedures and catheterisation techniques following best practices. Why Choose Us? Get a Free CPD Accredited Certificate upon completion of Clinical Coding Get a free student ID card with Clinical Coding Training program (£10 postal charge will be applicable for international delivery) The Clinical Coding is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Get Lifetime access to the Clinical Coding course materials The Clinical Coding comes with 24/7 tutor support Start your learning journey straightaway! *** Course Curriculum *** Course 01: Clinical Coding Module 01: Introduction to Clinical Coding Module 02: Introduction to Clinical Records Its Confidentiality Module 03: Clinical Terminology and Jargon Module 04: Introduction to ICD-10 Coding Module 05: General Coding Standards of ICD-10 Module 06: ICD-10 5th Edition Codes (Chapters 1 to 4) Module 07: ICD-10 5th Edition Codes (Chapters 5 to 10) Module 08: ICD-10 5th Edition Codes (Chapters 11 to 15) Module 09: ICD-10 5th Edition Codes (Chapters 16 to 22) Module 10: Introduction to OPCS-4 Module 11: Introduction to SNOMED CT Module 12: Other Types of Clinical Coding Module 13: Legal and Ethical Aspects of Working in a Clinical Environment Course 02: Medical Clinical Coding Inpatient Training IP DRG Introduction IP DRG PDx IP DRG SDx Inpatient MS DRG DRG DD DRG POA DRG Query SOI ROM DRG 3T Technique Course 03: Medical Terminology Module 01: Human Body Vocabulary With Pictures Module 02: Equipment, Instruments And Lab Tests Module 03: Acronyms And Abbreviation Module 04: Digestive System Module 05: Cardiovascular System Module 06: Blood And Immunity System Module 07: Respiratory System Module 08: Musculoskeletal System Module 09: Central Nervous System =========>>>>> And 8 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*11 = £143) CPD Hard Copy Certificate: £29.99 CPD 110 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Aspiring coders Medical staff Healthcare administrators Data analysts GDPR specialists Requirements You will not need any prior background or expertise to enrol in this bundle. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Medical coder Clinical data analyst Healthcare compliance officer Medical practice manager Coding educator Certificates CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. CPD Accredited Hard Copy Certificate Hard copy certificate - £29.99 Please note that International students have to pay an additional £10 as a shipment fee.