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 Excel Analytics 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 Excel Analytics Course is one of the most prestigious training offered at Skillwise and is highly valued by employers for good reason. This Advanced Excel Analytics 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 Excel Analytics 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 Excel Analytics? Unlimited access to the course forever Digital Certificate, Transcript, and student ID are all included in the price Absolutely no hidden fees Directly receive CPD-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 Excel Analytics 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 Excel Analytics course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skills. Prerequisites This Advanced Excel Analytics does not require you to have any prior qualifications or experience. You can just enroll and start learning. This Advanced Excel Analytics 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 Excel Analytics is a great way for you to gain multiple skills from the comfort of your home. Advanced Excel Analytics Module 01: Introduction 00:05:00 Module 02: How to Benefit from the Course 00:02:00 Module 03: Download Project Files 00:07:00 Module 04: Exploring Project Data 00:05:00 Module 05: Data Cleaning and Customization 00:03:00 Module 06: Understanding Data Values 00:04:00 Module 07: Date and Time Categorized 00:07:00 Module 08: Combine Date and Time Field 00:05:00 Module 09: Categorize Weather Conditions by Logical Operation 00:09:00 Module 10: Advanced Percentile Calculation 00:11:00 Module 11: Joining Data from Multiple Sources 00:08:00 Module 12: Joining Data by VLOOKUP and MATCH Function 00:09:00 Module 13: Analyzing Trends by COUNTIF Function 00:09:00 Module 14: Create Real Time Data Feed by Free API 00:06:00 Module 15: Extract Realtime Data by Filter XML Function 00:11:00 Module 16: Categorize Realtime Data by VLOOKUP & Conditional Formatting Part 01 00:06:00 Module 17: Categorize Realtime Data by VLOOKUP & Conditional Formatting Part 02 00:06:00 Module 18: Generate Dynamic Source Data by INDEX and MATCH Function 00:06:00 Module 19: Build Chart Visualization by TRIGONMETRY Function 00:07:00 Module 20: Formatting Combo Chart Visualization 00:05:00 Module 21: Formatting and Customization Technique Part 1 00:07:00 Module 22: Formatting and Customization Technique Part 2 00:06:00 Module 23: Advanced Formatting and Dashboard Design 00:06:00 Module 24: Course Wrap up 00:06:00 Resources Resources - Advanced Excel Analytics Assignment Assignment - Advanced Excel Analytics
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Description: A business process is a set of activities that will help to accomplish a specific organizational goal. It makes an organization's workflow more effective and efficient. It also helps companies leverage processes to achieve your purposes successfully. Business Process Management & Improvement explains the fundamentals of business process management and business process lifecycle. You will also learn about vision, design, modeling and execution phase. To be successful in business, you need to learn about leadership such as setting goals, lighting a path, and convincing others to follow. Besides, you will be exploring the gap analysis tools, which can help you define problems, find solutions and improve the process to boost your business. Following that, you will learn about lean process improvement. It helps in generating more value for customers with fewer resources. Additionally, you will also be able to deal with a sudden emergency situation. Learn business improvement techniques, methods and all the efficient matters that you need to get success in your business. So register now! Learning Outcomes: Provide definition for business process management as well as associated ideas Identify the crucial methods that play in a business Understand the role of technology for process management Improvise an outlook for directing process management Realise how to design or develop the current system by applying the business process lifecycle Build a process map Execute a what-if analysis to advance your procedures Apply and look out process changes Figure out how Lean and six sigma terminologies can help manage and developing the systems Implement a range of contents as well as techniques to get rid of waste and avoidable items Know defining the term 'gap analysis' Recognise various kinds of gap analyses Learning to perform all phases of the gap analysis process Produce a gap analysis report Provide a definition to Lean as well as its major terminologies Relate the Toyota Production Process and the TPS house Analyse the five crucial progress concept Apply the Kano model Recognise as well as decrease different kinds of waste Generate a strategy for a more atmospherically Lean organisation Apply the PDSA and R-DMAIC-S models Execute Lean thinking frameworks, involving 5W-2H, Genchi Genbutsu as well as Gemba Make a preparation for at the same time, complete a basic 5-S Narrate the prime components of Kaizen incidents, particularly a Kaizen blitz Assemble, analyse, as well as explain data through applying flow charts, Ishikawa (fishbone) diagrams, and value stream maps Return to their organisation with a strategy to commence incorporating Lean for their corporate norms Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Business Process Management & Improvement is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Business Process Management & Improvement is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Module : 1 The Fundamentals of Business Process Management 00:30:00 Defining Business Process Management 00:30:00 The Business Process Life Cycle 00:15:00 The Vision Phase 00:15:00 The Design Phase 01:00:00 The Modeling Phase 00:30:00 The Execution Phase 01:00:00 The Monitoring Phase 00:30:00 The Optimizing Phase 01:00:00 Module : 2 What is Gap Analysis? 00:30:00 The Gap Analysis Process 00:30:00 Supporting Tools 00:30:00 Creating a Gap Analysis Report 00:15:00 Module : 3 Understanding Lean 00:30:00 The Toyota Production System 00:30:00 The Toyota Production System House 00:15:00 The Five Critical Improvement Concepts 00:15:00 Understanding Value with the Kano Model 00:15:00 Types of Waste 00:15:00 Creating a Lean Enterprise 00:15:00 The Plan, Do, Study, Act (PDSA) Cycle 00:15:00 Using the R-DMAIC-S Model 00:15:00 Lean Thinking Tools 00:15:00 Kaizen Events 00:00:00 Data Gathering and Mapping 00:30:00 A Plan to Take Home 00:15:00 Mock Exam Mock Exam- Business Process Management & Improvement 00:30:00 Final Exam Final Exam- Business Process Management & Improvement 00:30:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00
Delving into the essentials of business analysis, this CPD-accredited course offers learners a structured pathway to understand how organisations operate, make decisions, and adapt to change. It introduces time-tested concepts in stakeholder engagement, requirements gathering, process modelling, and effective communication within business environments. Whether you're new to the subject or looking to build upon existing knowledge, the course provides clarity on the core principles that shape strategic and operational decision-making. Designed for flexibility, the course is accessible entirely online—no seminar rooms or boardrooms in sight. Each module is arranged with clarity and intention, helping learners navigate key topics with ease. With a focus on relevance and usability, this training supports those aiming to understand the analytical side of business without wading through overhyped jargon. Learn at your pace, from anywhere, and take your understanding of business processes to a more confident level. Course Curriculum: Module 01: An Introduction to Business Analysis Module 02: The Necessity of a Business Analyst Module 03: Addressing Requirements Module 04: Needs Assessment Module 05: Business Analysis Planning Module 06: Strategy Analysis Module 07: Stakeholder Analysis Module 08: Requirements Elicitation Module 09: Requirements Analysis Module 10: Traceability and Monitoring Module 11: Solution Evaluation Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%. CPD 10 CPD hours / points Accredited by The CPD Certification Service Who is this course for? The Business Analysis - CPD Accredited training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Business Analysis - CPD Accredited training.
Business analysis has become a core part of today's competitive market. It is impossible to shine like star without proper planning and analysis is a must if you are willing to create a winning strategy. Whether you want to start your own business or want to help your company to grow more, you will eventually feel the necessity of our Business Planning Diploma course. It can provide you adequate knowledge and techniques for business analysis and successfully plan for your business. This may sound complex in the beginning, but it will become easier over the passage of time. This course will deliver your resource like business planning, evaluating different situations in the market, competitor analysis, defining goals, set objectives, preparing strategy to fulfill those objectives, scheduling, budgeting, mistakes that are common in this field etc. Moreover, you will go through every possible aspect and key points required to master business planning and analysis. Course Highlights Business Planning Diploma is an award winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Business Planning Diploma into 7 modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 5 hours, 40 minutes and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Business Planning Diploma Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Business Planning Diploma is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Business Planning Diploma is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Business Planning Basics FREE 01:00:00 Market Evaluation FREE 01:00:00 Analyse Competition 01:00:00 Determine A Marketing Strategy 01:00:00 Decide What Extras You May Need Like Staff etc 00:30:00 The Dangers In Not Making A Business Plan 00:15:00 Wrapping Up 00:15:00 Mock Exam Mock Exam- Business Planning Diploma 00:20:00 Final Exam Final Exam- Business Planning Diploma 00:20:00
Business Leadership & Management Training Masterclass Step into the world of effective leadership with our Business Leadership & Management Training Masterclass. This all-in-one course teaches you how to lead teams, manage change, and build a strong work environment. You'll explore leadership models, develop personal mastery, and learn practical skills like delegation, feedback, and strategic planning. With easy-to-follow lessons and real-world tips, this course will help you grow into the confident leader every organisation needs. Course Curriculum About the Learning Organization Achieving Personal Mastery Analyzing Our Mental Models Achieving a Shared Vision Team Learning Systems Thinking Understanding Leadership Five Practices Building Trust Managing Change The Four Room Apartment Time Management Tips and Tricks Managers vs. Leaders Types of Thinking Influence Strategies Managing Relationships Strategic Planning Doing Delegation Right Criteria for Useful Feedback Feedback Techniques Mastering Your Body Language Meeting Management Pumping up a Presentation What’s Your Type? How About Mine? Understanding Leadership Manage Your Time and Your Energy Employee Development Models Dealing with Conflict and Difficult Issues What Successful Leaders Do What’s In A Word? Fundamental Elements The Four-I Model of Organizational Conversation The Conversational Leadership Framework World Cafe What is Self-Leadership? Knowing Who You Are Knowing What You Do Motivation for Optimists Using What You Know Women and the Workforce Barriers and Benefits to Women’s Leadership Social and Emotional Intelligence Self-Awareness Developing Leadership Awareness and Brand Leadership Skills Making Good Decisions Creating Your Workplace Philosophy (Learn more about this online course)
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