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Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents, and interests with our special Advanced Mathematics Training Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides the professional training that employers are looking for in today's workplaces. The Advanced Mathematics Training Course is one of the most prestigious training offered at Skillwise and is highly valued by employers for good reason. This Advanced Mathematics Training Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Advanced Mathematics Training Course, like every one of Skillwise's courses, is meticulously developed and well-researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At Skillwise, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from Skillwise, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Advanced Mathematics Training ? Lifetime access to the course forever Digital Certificate, Transcript, and student ID are all included in the price Absolutely no hidden fees Directly receive CPD Quality Standard-accredited qualifications after course completion Receive one-to-one assistance 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 Advanced Mathematics Training 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 free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Who is this course for? This Advanced Mathematics Training course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already work in relevant fields and want to polish their knowledge and skills. Prerequisites This Advanced Mathematics Training does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Advanced Mathematics Training was made by professionals and it is compatible with all PCs, Macs, 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 As this course comes with multiple courses included as a bonus, you will be able to pursue multiple occupations. This Advanced Mathematics Training is a great way for you to gain multiple skills from the comfort of your home. Introduction Introduction 00:01:00 Mathematical Logic Introduction to Mathematical Logic, What is Sentence,Statements and their Types 00:02:00 Intro to Logical Connectivity,Tautology,Contradiction,Contingency,Pattern 00:06:00 Quantitative and Quantified Statement and types and example 00:03:00 Dual : Replacing of Connections and Symbols 00:02:00 Negations of Compound Statement , Converse, Inverse , & Contrapositive 00:03:00 Algebra of Statements and Law 00:05:00 Real Life application of Logic to Switching Electric Circuit 00:05:00 Matrices Intro to Matrices , Multiplication and Addition using Matrix 00:06:00 Inverse of Matrix Uniqueness of Inverse,Elementary Transformation 00:08:00 Method of REDUCTION AND INVERSION with real life example how we can implement 00:17:00 Trigonometric Functions Introduction to Trigonometric Function 00:03:00 General Solutions And Theorem 00:10:00 Solution of Triangle : Polar Co-ordinates 00:21:00 Rules and Theorems of SIn Cosine and TAN 00:22:00 Inverse Trigonometric Function 00:25:00 Pair Of Straight Line Introduction & Combined Equations 00:07:00 Degrees and Types 00:12:00 Some Theorem 00:17:00 Lines & Planes Introduction - vector cartesian theorem 00:02:00 Cartesian Equation & 2 Point Theorem 00:03:00 Theorems & Problem Solving 00:05:00 Distance of Point Line 00:05:00 Skew Lines 00:01:00 Distance of skew lines 00:03:00 Distance between parallel lines 00:02:00 Equation of Plane and Cartesian Form 00:10:00 Linear Programming Linear Programming Introduction 00:08:00 Introduction to LPP (Linear Programming Problem) 00:05:00 LPP PROBLEM SOLVING 00:07:00 Order Your Certificate Order Your Certificate QLS

Jalupro is used to regenerate the Extra Cellular Matrix (ECM) by stimulating the fibroblasts in the skin to produce a complete mix of collagen and elastin. These products are an excellent option for clients who wish to maintain a more natural look or those who do not want or need Botulinum Toxin or Dermal Fillers. Additional course details Course Prerequisites Be a medical professional registered to a medical body (NMC, GMC, GDC, GPhC, etc.) Have Level 3 NVQ in Beauty Therapy Previous Dermal Filler or Botox training Have six months of experience in SPMU, Microblading, and Microneedling) and six months of Anatomy & Physiology Level 3 Have 12 months of experience in advanced beauty treatments (e.g. SPMU, Microblading, Microneedling) Course Contents Health & Safety Infection Control Sharps disposal Facial Skin Anatomy Skin Ageing Jalupro classic, HMW, Super Hydro Injection Techniques Jalupro Procedure - Video Demonstration Contra action Contraindications Aftercare This course was designed for learners to refresh their subject knowledge and practical skill; with prior skin booster injection experience, we suggest you attend our onsite training course for learners without previous training. Course Features CPD Accredited CourseVetted accredited trainingFully Online TrainingTrain your way on any deviceFull DemonstrationComplete end to end treatment demonstrationImmediate CertificationDelivered immediately after completion Frequently Asked Questions How long do I have to complete the training course? Once you have logged in and started your training course you will have 3 months to complete your training. Can I train straight away after making payment? Yes. Once you have completed payment our system will automatically enrol you onto the training course. You will then receive an email with instructions and a direct link to login and start your course. Can I get insurance once I have completed this training? Our online training courses are CPD accredited. Acquiring insurance based on completion and accreditation from our online training courses is insurer specific and as with most cases also takes into account your personal background and status. We advise that you contact your insurance to ensure your prerequisites meets their requirements and that this training course meets their specific criteria for insurance. We have a relationship with Insync Insurance which we recommend. Is this course accredited? Yes. This training course is accredited by the CPD group. Where is the Cosmetic College The Cosmetic College is located at: 3 Locks Court, 429 Crofton Road, Orpington, BR6 8NL Do you offer in-person training? Yes, we perform in-person training at our training academy in Orpington, Kent. You can find out more details of our in-person Microneedling training here

Delve into the world of data analysis with 'R Programming for Data Science,' a course designed to guide learners through the intricacies of R, a premier programming language in the data science domain. The course opens with a broad perspective on data science, illuminating the pivotal role of R in this field. Learners are then introduced to R and RStudio, equipping them with the foundational tools and interfaces essential for R programming. The curriculum progresses with an introduction to the basics of R, ensuring learners grasp the core principles that underpin more complex operations. A highlight of this course is its in-depth exploration of R's versatile data structures, including vectors, matrices, factors, and data frames. Each unit is crafted to provide learners with a comprehensive understanding of these structures, pivotal for effective data handling and manipulation. The course also emphasizes the importance of relational and logical operators in R, key elements for executing data operations. As the course advances, learners will engage with the nuances of conditional statements and loops, essential for writing efficient and dynamic R scripts. Moving into more advanced territories, the course delves into the creation and usage of functions, an integral part of R programming, and the exploration of various R packages that extend the language's capabilities. Learners will also gain expertise in the 'apply' family of functions, crucial for streamlined data processing. Further units cover regular expressions and effective strategies for managing dates and times in data sets. The course concludes with practical applications in data acquisition, cleaning, visualization, and manipulation, ensuring learners are well-prepared to tackle real-world data science challenges using R. Learning Outcomes Develop a foundational understanding of R's role in data science and proficiency in RStudio. Gain fluency in R programming basics, enabling the handling of complex data tasks. Acquire skills in managing various R data structures for efficient data analysis. Master relational and logical operations for advanced data manipulation in R. Learn to create functions and utilize R packages for expanded analytical capabilities. Why choose this R Programming for Data Science course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this R Programming for Data Science course for? Beginners in data science eager to learn R programming. Data analysts and scientists looking to enhance their skills in R. Researchers in various fields requiring advanced data analysis tools. Statisticians seeking to adopt R for more sophisticated data manipulations. Professionals in finance, healthcare, and other sectors needing data-driven insights. Career path Data Scientist (R Expertise): £30,000 - £70,000 Data Analyst (R Programming Skills): £27,000 - £55,000 Bioinformatics Scientist (R Proficiency): £35,000 - £60,000 Quantitative Analyst (R Knowledge): £40,000 - £80,000 Research Analyst (R Usage): £25,000 - £50,000 Business Intelligence Developer (R Familiarity): £32,000 - £65,000 Prerequisites This R Programming for Data Science does not require you to have any prior qualifications or experience. You can just enrol and start learning.This R Programming for Data Science 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Unit 01: Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science? 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's next? 00:02:00 Unit 02: R and RStudio Engine and coding environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A quick tour 00:04:00 Unit 03: Introduction to Basics Arithmetic with R 00:03:00 Variable assignment 00:04:00 Basic data types in R 00:03:00 Unit 04: Vectors Creating a vector 00:05:00 Naming a vector 00:04:00 Arithmetic calculations on vectors 00:07:00 Vector selection 00:06:00 Selection by comparison 00:04:00 Unit 05: Matrices What's a Matrix? 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding columns and rows to a matrix 00:06:00 Selection of matrix elements 00:03:00 Arithmetic with matrices 00:07:00 Additional Materials 00:00:00 Unit 06: Factors What's a Factor? 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Unit 07: Data Frames What's a Data Frame? 00:03:00 Creating Data Frames 00:20:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Additional Materials 00:00:00 Unit 08: Lists Why would you need lists? 00:01:00 Creating a List 00:06:00 Selecting elements from a list 00:03:00 Adding more data to the list 00:02:00 Additional Materials 00:00:00 Unit 09: Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Additional Materials 00:00:00 Unit 10: Logical Operators AND, OR, NOT Operators 00:04:00 Logical operators with vectors and matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators together 00:06:00 Additional Materials 00:00:00 Unit 11: Conditional Statements The IF statement 00:04:00 IFELSE 00:03:00 The ELSEIF statement 00:05:00 Full Exercise 00:03:00 Additional Materials 00:00:00 Unit 12: Loops Write a While loop 00:04:00 Looping with more conditions 00:04:00 Break: stop the While Loop 00:04:00 What's a For loop? 00:02:00 Loop over a vector 00:02:00 Loop over a list 00:03:00 Loop over a matrix 00:04:00 For loop with conditionals 00:01:00 Using Next and Break with For loop 00:03:00 Additional Materials 00:00:00 Unit 13: Functions What is a Function? 00:02:00 Arguments matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing own functions 00:03:00 Functions with no arguments 00:02:00 Defining default arguments in functions 00:04:00 Function scoping 00:02:00 Control flow in functions 00:03:00 Additional Materials 00:00:00 Unit 14: R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different ways to load a package 00:02:00 Additional Materials 00:00:00 Unit 15: The Apply Family - lapply What is lapply and when is used? 00:04:00 Use lapply with user-defined functions 00:03:00 lapply and anonymous functions 00:01:00 Use lapply with additional arguments 00:04:00 Additional Materials 00:00:00 Unit 16: The apply Family - sapply & vapply What is sapply? 00:02:00 How to use sapply 00:02:00 sapply with your own function 00:02:00 sapply with a function returning a vector 00:02:00 When can't sapply simplify? 00:02:00 What is vapply and why is it used? 00:04:00 Additional Materials 00:00:00 Unit 17: Useful Functions Mathematical functions 00:05:00 Data Utilities 00:08:00 Additional Materials 00:00:00 Unit 18: Regular Expressions grepl & grep 00:04:00 Metacharacters 00:05:00 sub & gsub 00:02:00 More metacharacters 00:04:00 Additional Materials 00:00:00 Unit 19: Dates and Times Today and Now 00:02:00 Create and format dates 00:06:00 Create and format times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Additional Materials 00:00:00 Unit 20: Getting and Cleaning Data Get and set current directory 00:04:00 Get data from the web 00:04:00 Loading flat files 00:03:00 Loading Excel files 00:05:00 Additional Materials 00:00:00 Unit 21: Plotting Data in R Base plotting system 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Unit 22: Data Manipulation with dplyr Introduction to dplyr package 00:04:00 Using the pipe operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns component: mutate() 00:02:00 Columns component: relocate() 00:02:00 Rows component: filter() 00:01:00 Rows component: slice() 00:04:00 Rows component: arrange() 00:01:00 Rows component: rowwise() 00:02:00 Grouping of rows: summarise() 00:03:00 Grouping of rows: across() 00:02:00 COVID-19 Analysis Task 00:08:00 Additional Materials 00:00:00 Assignment Assignment - R Programming for Data Science 00:00:00

Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Introduction Introduction 00:05:00 Lean Six Sigma: An Introduction 00:02:00 DMAIC 00:03:00 The Benefits of Lean Six Sigma & the Toolkit 00:02:00 Scenario for this Course 00:02:00 Cause and Effect Introduction to Cause and Effect 00:02:00 Ishikawa Diagram 00:05:00 Ishikawa Diagram: Demonstration 00:05:00 5 Whys 00:02:00 5 Whys: Demonstration 00:03:00 Pareto Chart 00:03:00 Pareto Chart: Demonstration 00:03:00 C&E Matrix 00:03:00 C&E Matrix: Demonstration 00:05:00 Working With Ideas tools Working With Ideas Introduction 00:01:00 Brainstorming 00:06:00 Brainstorming: Demonstration 00:02:00 Affinity Diagram 00:03:00 Affinity Diagram: Demonstration 00:02:00 Multivoting 00:03:00 Multivoting: Demonstration 00:03:00 Process Mapping Tools Introduction to Process Maps 00:03:00 Swim lane 00:04:00 Swim lane: Demonstration 00:07:00 SIPOC 00:03:00 SIPOC: Demonstration 00:04:00 Value Stream Map 00:04:00 Value Stream Map: Demonstration 00:07:00 Time Value Map 00:03:00 Time Value Map: Demonstration 00:02:00 Value Add Chart 00:03:00 Value add chart: Demonstration 00:02:00 Spaghetti Diagram 00:03:00 Spaghetti Diagram: Demonstration 00:04:00 Voice of the Customer Introduction to the Voice of the Customer 00:02:00 Customer Segmentation 00:03:00 Types and Sources of Customer Data 00:05:00 Interviews 00:06:00 Point of Use Observations 00:05:00 Focus Groups 00:05:00 Surveys 00:05:00 Kano Analysis 00:03:00 Kano Analysis: Demonstration 00:03:00 Critical to Quality Tree 00:03:00 Critical to Quality Tree: Demonstration 00:02:00 Close out Close Out 00:03:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Leadership and Management development, Leadership training, management training, Leadership development

This programme has a simple objective: to help a sales team create and implementa comprehensive account development plan. If you want to earn strategic partner or preferred supplier status with your clients and customers then you need to add value to their business, consistently, and you can only do this if you have a plan - a key account management plan. This programme will help participants: Discover opportunities - through a deeper understanding of the customer's business Develop partnership - through a better 'value proposition' for the customer Increase repeat business - based on higher customer satisfaction Improve synergy - by getting everyone to 'sing from the same hymn sheet' Develop a collaborative account plan - validated by the customer and their own management Secure resources - management will align resources to execute soundly based account plans Win an increased share of 'customer wallet' - through systematic account development 1 The six principles of strategic account development Introduction to the PROFIT account development model:- Performance- Relationships- Objectives and goals- Feedback- Integration- Teamwork Practical account development strategies: overview and case studies 2 Performance Use practical tools to help you manage and measure account performance and success Design and build a monthly account dashboard for all sizes of account Prioritise and manage accounts and customers pro-actively and successfully, using proven planning tools Develop a cross-selling strategy to integrate products or solutions into the customer's business as closely as possible 3 Relationships How to build and manage key relationships within an account Qualifying and managing key influencers accurately Producing a 'relationship matrix' for each account quickly and easily Approaching and developing new contacts strategically Tools and techniques for successful tracking of contacts and call-backs Developing a coach or advocate in every customer organisation pro-actively 4 Objectives and goals Where are you now? - how to establish your competitive position within an account Know how to set, monitor and track key objectives for accounts over the short, medium and long term Selling against the competition - developing both long- and short-term sales strategies 5 Feedback - building loyal and satisfied customers The correct way to manage customer expectations and create listening loops within an account How to monitor and track your customer's perception and satisfaction with your organisation Building a personalised satisfaction matrix for each account Customer review meetings - best practice in building loyalty by regular joint planning events Understanding the concept of long-term customer value and the importance of adapting a customer-focused attitude 6 Integration How to integrate your products or solutions with the customer's business needs and processes Spot and react to early warning signals that may cause an account's loyalty to fade, reduce revenue or switch to a competitor Developing a loyalty strategy for key accounts or groups of smaller accounts Getting your message and strategy across to C-level contacts 7 Teamwork Working with others to achieve your account goals Gaining internal commitment from your organisation Managing and working with a virtual team Creating cross-departmental communication loops 8 Putting it all together Personal account reviews Personal learning summary and action plans

Learn to build a complete Arduino project using a keypad, LCD, ultrasonic sensor, LDR sensor, and a buzzer

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The course explores the nature and utility of tools and models in the development of organizational strategy. The learner will be able to strategise based on the theoretical perspectives offered in this programme and utilise the power of strategic analysis tools. After the successful completion of this lecture, you will be able to understand the following: What are strategic models? Strategic Models & Tools. Mintzberg Model of Strategy Ansoff Matrix Balanced Mandatory Card Analysis Sensitivity Analysis Organisational Integration Merger And Acquisition Gap Analysis Product Portfolio VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Understanding Strategic Models & Tools Quiz: Understanding Strategic Models & Tools Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the knowledge of the learner in the field. This certificate is for everyone eager to know more and gets updated on current ideas in their respective field. We recommend this certificate for the following audience. CEO, Director, Manager, Supervisor Learning and Development Manager Strategy Manager Change Manager Organizational Behaviour Specialist Operations Manager Team Lead Average Completion Time 2 Weeks Accreditation 1 CPD Hour Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.