264 Matrix courses

Take your first step toward Natural Language Processing with this beginner-to-pro course. Gain an in-depth understanding of deep learning models for NLP with the help of examples. Learn the essential concepts from the absolute beginning with complete unraveling along with examples in Python.

Work Breakdown Structures It's amazing how often project managers begin the project planning process by making an outlined list of every task they believe will be required to complete a project and then proclaim they have created the work breakdown structure (WBS) for the project. The result is a list of hundreds, or even thousands of tasks, many of them having durations of a few days or a few hours. Essentially, what they have done is create a 'to do' list, which they then use as a 'checklist' to measure progress. This approach leads to, and even encourages, micromanagement of the resources working on the project without consideration of more critical aspects of project management such as: requirements management, risk management, procurement management, estimating, scheduling, executing, and controlling. Further, it makes it impossible to see the big picture, at levels of detail, in keeping with the needs of sponsors, clients, project and functional managers, team leaders, and project performers. Join us for this exciting program and learn how to use the WBS to make better-informed business decisions. What You Will Learn You will learn how to: Describe the need for a project WBS Describe the WBS role in the project Gain practical experience in the development, decomposition, and use of the WBS Determine the appropriate level of detail in the WBS. Explain how the WBS integrates with project requirements, risk, procurement, estimating, scheduling, and overall project execution. Provide the basic tools to enhance efficient re-use of key information in your future projects Foundation Concepts Key definitions History of the WBS Importance of the WBS Overall structure Terminology Other breakdown structures WBS tools WBS & Scope Project scope management processes Specification of the project objectives WBS design based on project deliverable WBS decomposition process and 'The 100% rule' Work Packages and Control Accounts WBS & Risk Risk management planning and WBS Risk identification to enhance the WBS Risk analysis and the WBS Risk responses and updating the WBS Implementing risk response and Monitoring risks and the WBS WBS & Estimating Use of WBS in the estimating process Components and work packages Sizing and algorithmic estimates WBS & Scheduling Component Scheduling - High-Level Milestones WBS activity decomposition WBS elements dependencies Work Package Level Schedules Responsibility assignment matrix WBS & Execution and Control Earned Value Management and tracking of work performance Progress reports, forecasts, and corrective and preventive actions used to manage work performance Necessary information to close out a project

The course is crafted to help you understand not only the role and impact of recommender systems in real-world applications but also provide hands-on experience in developing complete recommender systems engines for your customized dataset using projects. This learning-by-doing course will help you master the concepts and methodology of Python.

Overview This comprehensive course on R Programming for Data Science will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This R Programming for Data Science comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. 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 R Programming for Data Science. It is available to all students, of all academic backgrounds. Requirements Our R Programming for Data Science is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 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 23 sections • 129 lectures • 06:25:00 total length •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?: 00:01:00 •Engine and coding environment: 00:03:00 •Installing R and RStudio: 00:04:00 •RStudio: A quick tour: 00:04:00 •Arithmetic with R: 00:03:00 •Variable assignment: 00:04:00 •Basic data types in R: 00:03:00 •Creating a vector: 00:05:00 •Naming a vector: 00:04:00 •Vector selection: 00:06:00 •Selection by comparison: 00:04:00 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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 •Mathematical functions: 00:05:00 •Data Utilities: 00:08:00 •Additional Materials: 00:00:00 •grepl & grep: 00:04:00 •Metacharacters: 00:05:00 •sub & gsub: 00:02:00 •More metacharacters: 00:04:00 •Additional Materials: 00:00:00 •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 •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 •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 •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 - R Programming for Data Science: 00:00:00

Duration 1 Days 6 CPD hours This course is intended for This course is intended for individuals who desire to supervise others more effectively. Overview Upon successful completion of this course, students will be equipped to supervise others more effectively and efficiently, contributing to job satisfaction and productivity. In this course, students will develop the skills required to be more efficient and proficient supervisors. 1 - GETTING STARTED Icebreaker Housekeeping Items The Parking Lot Workshop Objectives 2 - SETTING EXPECTATIONS Defining the Requirements Identifying Opportunities for Improvement and Growth Setting Verbal Expectations Putting Expectations in Writing 3 - SETTING GOALS Understanding Cascading Goals The SMART Way Helping Others Set Goals 4 - ASSIGNING WORK General Principles The Dictatorial Approach The Apple-Picking Approach The Collaborative Approach 5 - DEGREES OF DELEGATION Level One: Complete Supervision Level Two: Partial Supervision Level Three: Complete Independence 6 - IMPLEMENT DELEGATION Deciding to Delegate To Whom Should You Delegate? Providing Instructions Monitoring the Results Troubleshooting Delegation 7 - PROVIDING FEEDBACK Characteristics of Good Feedback Feedback Delivery Tools Informal Feedback Formal Feedback 8 - MANAGING YOUR TIME The 80/20 Rule Prioritizing with the Urgent-Important Matrix Using a Productivity Journal Using Routines and Rituals to Simplify Your Workday 9 - RESOLVING CONFLICT Using a conflict Resolution Process Maintaining Fairness Seeking help from Within the Team Seeking Help for Outside the Team 10 - TIPS FOR SPECIAL SITUATIONS What to Do If You?ve Been Promoted from within the Team What to Do If You're Leading a Brand New Team What to Do if You're Taking on an Established Team 11 - A SURVIVAL GUIDE FOR THE NEW SUPERVISOR Ask the Right Questions of the Right People Go to Gemba Keep Learning 12 - WRAPPING UP Words from the Wise Review of Parking Lot Lessons Learned Completion of Action Plans and Evaluations

In this course, you will learn how to create vehicles using 100% blueprints and ready-to-use Unreal Engine 5 assets. You will see how you can import your own assets from Blender, Maya, or Max and set them up. This course is meant for intermediate and expert users of Unreal Engine 5 as the basics of Unreal Engine 5 won't be covered.

This course teaches you data analysis and visualisation using the versatile R language. From understanding data structures to performing advanced statistical analysis, this course equips you with the skills to extract meaningful insights from complex datasets. This Course At A Glance Accredited by CPD UK Endorsed by Quality Licence Scheme Get a deep understanding of data science, the process and the toolbox Learn about R and Rstudio Get an introduction to the basic data types in R Learn to perform arithmetic calculations on vectors Understand what is a matrix and how to analyse it Know what is factors and how to summarise it Recognise how to create a data frame Get an understanding of the relational and logical operators Learn what is a conditional statement and how to implement the same Learn about loops, functions and R packages Understand data manipulation with dplyr Data Science Course with R Programming Course Overview This comprehensive data science with R programming course is specially designed for those who are willing to get a better understanding of R programming and data science to gain proficiency in the same. This online course will help you strengthen your knowledge of data science, R and Rstudio, basics, vectors and much more. This online data science with R programming course will also help you acquire knowledge about the Matrices, factors, data frame, list, logical and relational operations and conditional statements. You will also gain an understanding of the advanced features like loops, functions R packages, regular expressions, etc., to master R language and data science. By the end of the course, you will be able to write R programmes efficiently and be able to analyse data. You will also develop the skills to become a successful data scientist or data analyst after completing this course. Who should take this course? This comprehensive data science with R programming course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of R programming. Entry Requirements There are no academic entry requirements for this data science with r programming course, and it is open to students of all academic backgrounds. However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection. Assessment Method This data science with r programming course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner can grasp from each section. In the assessment pass mark is 60%. Course Curriculum Data Science Overview Introduction to Data Science Data Science Career of the Future What is Data Science Data Science As a Process Data Science Toolbox Data Science Process Explained What's Next R and RStudio Engine and Coding Environment Installing R and RStudio RStudio a Quick Tour Introduction to Basics Arithmetic With R Variable Assignment Basic Data Types in R Vectors Creating a Vector Naming a Vector Arithmetic Calculations on Vectors Vector Selection Selection by Comparison Matrices What's a Matrix Analyzing Matrices Naming a Matrix Adding Columns and Rows to a Matrix Selection of Matrix Elements Arithmetic with Matrices Factors What's a Factor Categorical Variables and Factor Levels Summarizing a Factor Ordered Factors Data Frames What's a Data Frame Creating a Data Frame Selection of Data Frame Elements Conditional Selection Sorting a Data Frame Lists Why Would You Need Lists Creating a List Selecting Elements From a List Adding More Data to The List Relational Operators Equality Greater and Less Than Compare Vectors Compare Matrices Logical Operators AND, OR, NOT Operators Logical Operators with Vectors and Matrices Reverse The Result Relational and Logical Operators Together Conditional Statements The IF Statement IF…ELSE The ELSEIF Statement Loops Write a While Loop Looping with More Conditions Break Stop The While Loop What's a For Loop. Loop Over a Vector Loop Over a List Loop Over a Matrix For Loop with Conditionals Using Next and Break with For Loop Functions What Is a Function. Arguments Matching Required and Optional Arguments Nested Functions Writing Own Functions Functions with No Arguments Defining Default Arguments in Functions Function Scoping Control Flow in Functions R Packages Installing R Packages Loading R Packages Different Ways to Load a Package The Apply Family - Lapply What Is Lapply and When Is Used. Use Lapply with User-Defined Functions Lapply and Anonymous Functions Use Lapply with Additional Arguments The Apply Family - Sapply & Vapply What Is Sapply. How to Use Sapply. Sapply with Your Own Function Sapply with a Function Returning a Vector When Can't Sapply Simplify. What Is Vapply and Why Is It Used. Useful Functions Mathematical Functions Data Utilities Regular Expressions Grepl & Grep Metacharacters Sub & Gsub More Metacharacters Dates And Times Today and Now Create and Format Dates Create and Format Times Calculations with Dates Calculations with Times Getting and Cleaning Data Get and Set Current Directory Get Data From The Web Loading Flat Files Loading Excel Files Plotting Data in R Base Plotting System Base Plots Histograms Base Plots Scatterplots Base Plots Regression Line Base Plots Boxplot Data Manipulation With dplyr Introduction to dplyr Package Using The Pipe Operator (%>%) Columns Component Select() Columns Component Rename() and Rename_with() Columns Component Mutate() Columns Component Relocate() Rows Component Filter() Rows Component Slice() Rows Component Arrange() Rows Component Rowwise() Grouping of Rows Summarise() Grouping of Rows Across() Covid-19 Analysis Task Assessment Assessment - Data Science Course with R Programming Recognised Accreditation CPD Certification Service 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. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. Quality Licence Scheme Endorsed 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. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees.     Certificate of Achievement Endorsed Certificate from Quality Licence Scheme After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. 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. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

Work Breakdown Structures: In-House Training It's amazing how often project managers begin the project planning process by making an outlined list of every task they believe will be required to complete a project and then proclaim they have created the work breakdown structure (WBS) for the project. The result is a list of hundreds, or even thousands of tasks, many of them having durations of a few days or a few hours. Essentially, what they have done is create a 'to do' list, which they then use as a 'checklist' to measure progress. This approach leads to, and even encourages, micromanagement of the resources working on the project without consideration of more critical aspects of project management such as: requirements management, risk management, procurement management, estimating, scheduling, executing, and controlling. Further, it makes it impossible to see the big picture, at levels of detail, in keeping with the needs of sponsors, clients, project and functional managers, team leaders, and project performers. Join us for this exciting program and learn how to use the WBS to make better-informed business decisions. What You Will Learn You will learn how to: Describe the need for a project WBS Describe the WBS role in the project Gain practical experience in the development, decomposition, and use of the WBS Determine the appropriate level of detail in the WBS. Explain how the WBS integrates with project requirements, risk, procurement, estimating, scheduling, and overall project execution. Provide the basic tools to enhance efficient re-use of key information in your future projects Foundation Concepts Key definitions History of the WBS Importance of the WBS Overall structure Terminology Other breakdown structures WBS tools WBS & Scope Project scope management processes Specification of the project objectives WBS design based on project deliverable WBS decomposition process and 'The 100% rule' Work Packages and Control Accounts WBS & Risk Risk management planning and WBS Risk identification to enhance the WBS Risk analysis and the WBS Risk responses and updating the WBS Implementing risk response and Monitoring risks and the WBS WBS & Estimating Use of WBS in the estimating process Components and work packages Sizing and algorithmic estimates WBS & Scheduling Component Scheduling - High-Level Milestones WBS activity decomposition WBS elements dependencies Work Package Level Schedules Responsibility assignment matrix WBS & Execution and Control Earned Value Management and tracking of work performance Progress reports, forecasts, and corrective and preventive actions used to manage work performance Necessary information to close out a project

Our students will learn how to rejuvenate the face using Profhilo, Sunekos and Jalupro. Course Structure Online study Virtual lecture Practical on-site training COURSE PREREQUISITES Be a medical professional registered to a medical body (NMC, GMC, GDC, GPhC, etc.) Have Level 3 NVQ in Beauty Therapy Have 6 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) SKIN BOOSTER TRAINING COURSE STRUCTURE: Product History Extracellular matrix Ageing process Patient consultation & expectations Delivery method- Bolus, Liner, Micro bolus & Bap technique demonstration on a live model Practical training on a live model Complications and how to resolve problems PRACTICAL: Tutor Demonstration of Profhilo Tutor Demonstration of Sunekos / Jalupro Practical session for students to carry out skin treatments SKIN BOOSTER PROFHILO FACE Profhilo is a new anti-ageing treatment which involves injecting hyaluronic acid into the skin. It is ideal for patients whose skin has started losing its natural firmness and elasticity, normally due to the ageing process, but smoking, stress and environmental factors may also be factors. JALUPRO CLASSIC JALUPRO is a sterile absorbable injectable solution which acts as a dermal biorevitaliser and is used for improving skin texture, brightening the skin and minimising evidence of fine lines & wrinkles. It is considered effective and safe: SUNEKOS 200 and 1200 SuneKos 200 is used to treat around the eyes, face, neck, chest and hands and is perfect for earlier signs of ageing. SuneKos 1200 is used in conjunction with SuneKos 200 if your skin needs extra structural support to improve sagging skin or if you have deeper, more advanced wrinkles. Lumi Eyes (New From October 2023) Lumi Eyes is a premium injectable product infused with polynucleotides, renowned for their tissue-regenerating capabilities. It effectively erases dark circles, moisturizes, and combats fine wrinkles, all while lifting and smoothing the skin around the eyes." Seventy Hyal 2000 (New From October 2023) Seventy Hyal 2000 is an innovative injectable hyaluronic acid (HA) skin booster designed to enhance skin hydration significantly. This bio-stimulating product goes beyond mere hydration, actively promoting the synthesis of fresh collagen and elastin fibers, resulting in improved skin texture and elasticity.

This course provides a holistic perspective on market planning by examining both external and internal environments. From dissecting industry competitiveness using Porter's Five Forces to strategic analysis with McKinsey's Seven S Model, participants will gain insights into the intricacies of effective marketing strategies. After the successful completion of the course, you will be able to learn about the following, Develop the ability to define and understand the components of the marketing environment. Acquire knowledge and skills related to implementing innovation in marketing strategies. Gain proficiency in conducting PESTLE analysis to assess external factors influencing business environments. Understand and apply the BCG matrix for strategic analysis of a product or business portfolio. Develop a comprehensive understanding of Porter's Five Forces model for analyzing industry competitiveness. Explore the role of marketing in Corporate Social Responsibility (CSR) initiatives. Familiarize yourself with McKinsey's Seven S Model for organizational analysis and strategic planning. Discover the nuances of the marketing environment with a focus on PESTLE analysis and strategic innovation. Dive into tools like the BCG matrix for product portfolio evaluation and explore the role of marketing in Corporate Social Responsibility (CSR). This course ensures a well-rounded understanding of essential frameworks for designing impactful marketing plans. This course empowers participants to navigate the complexities of marketing by examining external and internal dynamics. From mastering PESTLE analysis for environmental assessment to leveraging McKinsey's Seven S Model for strategic planning, participants will acquire the expertise needed for diverse roles, including Marketing Strategist, CSR Manager, and Market Analyst. 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 External and Internal Environment for designing a market plan Self-paced pre-recorded learning content on this topic. External and Internal Environment for Designing a Market Plan 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 learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. Marketing Strategist Market Analyst Corporate Social Responsibility Manager Strategic Planner Innovation Specialist Product Portfolio Manager Industry Analyst Marketing Environment Analyst Average Completion Time 2 Weeks Accreditation 3 CPD Hours 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.