1872 Summary courses

Duration 3 Days 18 CPD hours This course is intended for The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises. This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Prerequisites Understanding core data concepts. Knowledge of working with relational data in the cloud. Knowledge of working with non-relational data in the cloud. Knowledge of data analysis and visualization concepts. DP-900T00 Microsoft Azure Data Fundamentals is recommended 1 - Discover data analysis Overview of data analysis Roles in data Tasks of a data analyst 2 - Get started building with Power BI Use Power BI Building blocks of Power BI Tour and use the Power BI service 3 - Get data in Power BI Get data from files Get data from relational data sources Create dynamic reports with parameters Get data from a NoSQL database Get data from online services Select a storage mode Get data from Azure Analysis Services Fix performance issues Resolve data import errors 4 - Clean, transform, and load data in Power BI Shape the initial data Simplify the data structure Evaluate and change column data types Combine multiple tables into a single table Profile data in Power BI Use Advanced Editor to modify M code 5 - Design a semantic model in Power BI Work with tables Create a date table Work with dimensions Define data granularity Work with relationships and cardinality Resolve modeling challenges 6 - Add measures to Power BI Desktop models Create simple measures Create compound measures Create quick measures Compare calculated columns with measures 7 - Add calculated tables and columns to Power BI Desktop models Create calculated columns Learn about row context Choose a technique to add a column 8 - Use DAX time intelligence functions in Power BI Desktop models Use DAX time intelligence functions Additional time intelligence calculations 9 - Optimize a model for performance in Power BI Review performance of measures, relationships, and visuals Use variables to improve performance and troubleshooting Reduce cardinality Optimize DirectQuery models with table level storage Create and manage aggregations 10 - Design Power BI reports Design the analytical report layout Design visually appealing reports Report objects Select report visuals Select report visuals to suit the report layout Format and configure visualizations Work with key performance indicators 11 - Configure Power BI report filters Apply filters to the report structure Apply filters with slicers Design reports with advanced filtering techniques Consumption-time filtering Select report filter techniques Case study - Configure report filters based on feedback 12 - Enhance Power BI report designs for the user experience Design reports to show details Design reports to highlight values Design reports that behave like apps Work with bookmarks Design reports for navigation Work with visual headers Design reports with built-in assistance Tune report performance Optimize reports for mobile use 13 - Perform analytics in Power BI Explore statistical summary Identify outliers with Power BI visuals Group and bin data for analysis Apply clustering techniques Conduct time series analysis Use the Analyze feature Create what-if parameters Use specialized visuals 14 - Create and manage workspaces in Power BI Distribute a report or dashboard Monitor usage and performance Recommend a development life cycle strategy Troubleshoot data by viewing its lineage Configure data protection 15 - Manage semantic models in Power BI Use a Power BI gateway to connect to on-premises data sources Configure a semantic model scheduled refresh Configure incremental refresh settings Manage and promote semantic models Troubleshoot service connectivity Boost performance with query caching (Premium) 16 - Create dashboards in Power BI Configure data alerts Explore data by asking questions Review Quick insights Add a dashboard theme Pin a live report page to a dashboard Configure a real-time dashboard Set mobile view 17 - Implement row-level security Configure row-level security with the static method Configure row-level security with the dynamic method Additional course details: Nexus Humans PL-300T00: Microsoft Power BI Data Analyst training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the PL-300T00: Microsoft Power BI Data Analyst course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

  The CIPT is the first and only certification of its kind worldwide. It was launched by the IAPP in 2014 and updated in early 2023 to meet the growing need that only tech pros can fill-securing data privacy at all stages of IT product and service lifecycles.  Whether you work in the public or private sector, data privacy skills are quickly becoming a must-have-and that's a great opportunity for you.  The CIPT certification also holds accreditation under ISO 17024: 2012 About This Course   What will you learn?   Critical data protection concepts and practices that impact IT Consumer data protection expectations and responsibility How to bake privacy into early stages of IT products and services for cost control, accuracy and speed-to-market How to establish data protection practices for data collection and transfer How to pre-empt data protection issues in the Internet of Things How to factor data protection into data classification and emerging tech such as cloud computing, facial recognition and surveillance How to communicate data protection issues with partners such as management, development, marketing and legal.   This course has two programmatic modules, the first four areas focus on the fundamentals of data protection. The second module takes the fundamentals and puts it into practice.   MODULE 1: Fundamentals of Information Privacy   Unit 1: Common Principles and Approaches to Privacy This unit includes a brief discussion of the modern history of privacy, an introduction to types of information, an overview of information risk management and a summary of modern privacy principles.   Unit 2: Jurisdiction and Industries This unit introduces the major privacy models employed around the globe and provides an overview of privacy and data protection regulation by jurisdictions and industry sectors.   Unit 3: Information Security: Safeguarding Personal Information This unit presents introductions to information security, including definitions, elements, standards and threats/vulnerabilities, as well as introductions to information security management and governance, including frameworks, controls, cryptography and identity and access management (IAM).   Unit 4: Online Privacy: Using Personal Information on Websites and with Other Internet-related Technologies This unit examines the web as a platform, as well as privacy considerations for sensitive online information, including policies and notices, access, security, authentication and data collection. Additional topics include children's online privacy, email, searches, online marketing and advertising, social media, online assurance, cloud computing and mobile devices.    MODULE 2: Privacy in Technology   Unit 1: Understanding the Need for Privacy in the IT Environment This unit highlights the impact that regulatory activities, security threats, advances in technology and the increasing proliferation of social networks have on IT departments.   Unit 2: Core Privacy Concepts This unit reveals how privacy compliance becomes more attainable through developing information lifecycle plans, data identification and classification systems and data flow diagrams.   Unit 3: Regulations and Standards Impacting Privacy in IT This unit introduces privacy laws, regulations and standards that can help IT professionals design better privacy programmes and systems to handle personal information throughout the data lifecycle.   Unit 4: Privacy in Systems and Applications This unit develops an understanding of the risks inherent in the IT environment and how to address them.   Unit 5: Online Privacy Issues This unit presents information about online threats, threat prevention and the role of IT professionals in ensuring proper handling of user data.   Unit 6: De-identifying and Anonymizing Personally Identifiable Information This unit reveals the importance of personally identifiable information and methods for ensuring its protection.   Unit 7: Cloud Computing This unit evaluates privacy and security concerns associated with cloud services, and standards that exist to advise on their use. Prerequisites   There are no prerequisites for this course but attendees would benefit from a review of the materials on the IAPP site. What's Included?   1 years membership of the IAPP  Refreshments & Lunch (Classroom courses only) Participant Guide Official Study Guides Official Practice Exam Official Q&A The Exam Fees Who Should Attend?   The CIPT credential shows you've got the knowledge to build your organisation's data protection structures from the ground up. With regulators worldwide calling for tech professionals to factor data protection into their products and services, the job market for privacy-trained IT pros has never been stronger. As a result, the CIPT is targeted towards; Data Protection Officers IT Managers and Administrators Records Managers System Developers IT Security specialists Accreditation Our Guarantee   We are an approved IAPP Training Partner. You can learn wherever and whenever you want with our robust classroom and interactive online training courses. Our courses are taught by qualified practitioners with a minimum of 25 years commercial experience. We strive to give our delegates the hands-on experience. Our courses are all-inclusive with no hidden extras.  The one-off cost covers the training, all course materials, and exam voucher. Our aim: To achieve a 100% first time pass rate on all our instructor-led courses. Our Promise: Pass first time or 'train' again for FREE. *FREE training offered for retakes - come back within a year and only pay for the exam.

Have you learned Korean language from standard Korean text books? Are you struggling to memorize many Korean words but can't you remember all the words that you've learned? Please don't panic. It is no wonder that learning a new language like Korean is difficult for beginners. In this course, you will learn Korean language in fun and easy ways with a popular Korean trot music titled as 'Jjiniya' sung by the trot singer 'Young-tak'. He is known as 'jin jin jin man' after singing the song 'Jjiniya' in the award festival held in 2020. 'Korean Trot 'Jjiniya' Lyrics Breakdown' class focuses on teaching spoken Korean language step by step. First, you will learn how to pronounce the Korean lyrics of the trot song and guess the meaning of the lyrics by looking at some pictures. Then, you will compare English lyrics with Korean lyrics in the first verse of the song 'Jjiniya' and be taught some implied meanings in the lyrics. Final lesson is about the review of the Korean trot music 'Jjiniya' with the second verse of the song. I will slowly read the Korean language in the song, so I believe that you can pronounce the Korean words in the Korean music as accurately as possible. Be sure to print the downloadable lesson materials that are attached to the section four and seven of the course. I made some blanks in the material to help you easily remember some key words in the Ktrot song. I hope you will enjoy the 'Jjinya' lesson. :) '(Icon made by Freepik from flaticon) (Icon made by iconixar from flaticon)' 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. Course Curriculum Korean Trot Music ' Jjiniya ' Introduction Introduction 00:01:00 Korean Alphabet ' Hangeut ' Summary Korean Alphabet Summary with Jjiniya 00:11:00 Korean Trot Music ' Jjiniya ' Vocabularies Word Building 00:02:00 Korean Trot Music ' Jjiniya ' Korean Lyrics Pronunciation Korean Lyrics Reading 00:04:00 Korean Trot Music ' Jjiniya ' First Verse Analysis First Verse: English+ Korean 1 00:03:00 First Verse: English+ Korean 2 00:04:00 First Verse: English+ Korean 3 00:03:00 Korean Trot Music ' Jjiniya ' Second Verse Reading +Review Second Verse: English Reading+Review 00:02:00 Supplementary Resources Supplementary Resources - Learn Korean with Song Korean Trot 'Jjiniya' Breakdown 00:00:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join today! 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? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:04:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:06:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

Listening is a conscious activity which requires attention. Rather than waiting to speak, you need to listen attentively to fully understand the other person. Remember, there is no point in asking a question if you do not intend to listen carefully to the answer! The Communication: The Ultimate Guide to Questioning & Listening is designed to help you think about how you communicate verbally. The course includes information on the processes involved and the steps you can take to help ensure that verbal or spoken messages are received as intended. Through this course you will learn, examine and be able to apply; what questions are, what they can do and why we ask them. As well as examining and practicing active listening and common body language cues. In additional you will be able to recognize and respond to both positive and negative question responses. What you'll learn Answer - 'what is questioning?' Understands and can apply what questions can do Unpick why we ask questions Examine what active listening is Undertake an active listening exercise Appreciate the role of body language Recognize the main body language cues and signs as they relate to questions & answers Use, understand and appreciate 12 question types recognize, appreciate and use 12 different types of questions - including; the pros and cons, examples and interpersonal implications Appreciate and respond appropriately to possible question responses Appreciate the role of emotional intelligence Download a series of 'Top Ten Questions' Requirements Some method of jotting down thoughts, notes and quiz answers The 8th question type video (Socratic) has a supporting document Introduction to The Ultimate Guide to Questioning Course Introduction FREE 00:05:00 The Fundamentals - What & Why What is questioning? 00:02:00 What can questions do? 00:10:00 Why do we ask questions? 00:04:00 Active listening Are you listening? 00:09:00 Active Listening Exercise 00:09:00 Body language Body language 00:13:00 The 12 Different Types of Questions Introduction to the 12 question types 00:03:00 Closed questions 00:03:00 Tag or tail questions 00:02:00 Open questions 00:02:00 Imagine questions 00:02:00 Funnel questions 00:02:00 Probing questions 00:06:00 Recall & process questions 00:02:00 Socratic questions - 6 types 00:04:00 Leading Questions 00:02:00 Loaded questions 00:02:00 Rhetorical questions 00:01:00 Empathetic questions 00:03:00 How can people respond to questions? 8 possible question responses 00:06:00 Summary Summary of Ultimate Guide To Questioning 00:04:00 Course Certification

Overview This comprehensive course on Building a TodoMVC Application in Vue, React and Angular Masterclass will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Building a TodoMVC Application in Vue, React and Angular Masterclass 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 Building a TodoMVC Application in Vue, React and Angular Masterclass. It is available to all students, of all academic backgrounds. Requirements Our Building a TodoMVC Application in Vue, React and Angular Masterclass 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 5 sections • 14 lectures • 02:24:00 total length •Module 01: Introduction: 00:07:00 •Module 01: Scaffolding a Vue TodoMVC Application: 00:15:00 •Module 02: Programming a Vue TodoMVC Application: 00:17:00 •Module 03: Styling a Vue TodoMVC Application: 00:06:00 •Module 04: Vue TodoMVC Application Summary: 00:01:00 •Module 01: Scaffolding a React TodoMVC Application: 00:10:00 •Module 02: Programming a React TodoMVC Application's Views: 00:13:00 •Module 03: Adding Interactivity to a React TodoMVC Application: 00:20:00 •Module 04: React TodoMVC Summary: 00:02:00 •Module 01: Scaffolding an Angular TodoMVC Application: 00:21:00 •Module 02: Displaying Components in an Angular TodoMVC Application: 00:11:00 •Module 03: Adding Interactivity to an Angular TodoMVC Application: 00:16:00 •Module 04: Angular TodoMVC Summ-A-ry: 00:04:00 •Module 01: Conclusion: 00:01:00

This course covers key topics such as Strategy, Finance, Marketing, Leadership and more. Those who are looking to enhance their managerial skills, our Mini MBA course offers insights and tools to make strategic decisions, lead teams effectively, and drive organisational success. This Course At A Glance Understand the business vision and the mission statement Master the strategy hierarchy within a firm Learn how to design a business strategy for a startup or CEO Master the life cycle models Understand the external strategic environment of the firm - PEST and PESTLE analysis Know industry analysis, generic strategies, and competitive advantage Master strategic prioritisation - Boston Consulting Group Growth-Share matrix Learn how to connect MBA strategy and finance with financial modelling Know how to create a comparative competitive analysis on a page Mini MBA Course Overview This comprehensive course is perfect for those interested in understanding business strategy, business vision, the mission statement, and the strategy hierarchy within a firm. This online course will teach you business strategy design, business model canvas template, and Lafley and Martin's five-step strategy model. You will have a thorough understanding of Hambrick and Fredrickson's diamond strategy, life cycle, and external strategic environment of the firm - PEST and PEST analysis. By the end of the course, you will gain extensive knowledge around MBA level business strategy, the strategic planning process, and steps to create a comparative competitive analysis on a page. Who should take this course? This comprehensive mini MBA course is suitable for those who want to learn how to create a business strategy over time, understand PEST and PESTEL analysis, SWOT, TOES, and SOAR. Entry Requirements There are no academic entry requirements for this mini MBA 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 mini MBA course for diet 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 could grasp from each section. In the assessment pass mark is 60%. Course Curriculum Welcome to This Mini MBA Business Strategy Consulting Course Welcome to This Mini MBA Business Strategy Consulting Course Mini MBA Business Strategy - Executive Summary - What you will learn What is MBA Level Business Strategy? What is Business Strategy Business Vision and the Mission Statement The Strategy Hierarchy within a Firm Mini MBA: Designing Your Business Strategy - Startup or CEO Introduction to Business Strategy Design Business Model Design with The Business Model Canvas Business Model Canvas Template Lafley and Martin's Five-Step Strategy Model Hambrick and Fredrickson's Strategy Diamond Mini MBA: Business Strategy Over Time: Life Cycle Models Understanding Life Cycles The Industry Life Cycle The Business Life Cycle The Product Life Cycle The Corporate Funding Life Cycle Mini MBA: External Strategic Environment of the Firm; PEST and PESTEL Analysis Section Introduction: External Analysis Using Broad Factors PEST Analysis PESTEL Analysis PESTEL Analysis Template CASE STUDY EXERCISE: PESTEL Analysis of Starbucks CASE STUDY SOLUTION: PESTEL Analysis of Starbucks CASE STUDY EXERCISE: PESTEL Analysis Of The Global Aviation Industry CASE STUDY SOLUTION: PESTEL Analysis Of The Global Aviation Industry Strategic Options Arising Internal and External Analysis: SWOT, TOWS and SOAR SWOT Analysis Conducting a SWOT Analysis SWOT Analysis Template TOWS Matrix Analysis SOAR SOAR Analysis Template CASE STUDY EXERCISE: SWOT Analysis - Amazon CASE STUDY SOLUTION: SWOT ANALYSIS - Amazon Michael Porter - Industry Analysis, Generic Strategies and Competitive Advantage Michael Porter and Business Strategy Analysis Industry Analysis and Introducing Michael Porter Competitive Forces Model - Porter's Five Forces Full List of Porter's Five Forces Factors Michael Porter's Five Forces Template CASE STUDY EXERCISE PORTERS FIVE FORCES Global Aviation Industry CASE STUDY SOLUTION: Porter's Five Forces - Global Airline Industry Generic Strategies and Industry Forces Michael Porter's Value Chain Analysis Value Chain Analysis Template Strategic Prioritisation: Boston Consulting Group (BCG) Growth Share Matrix Boston Consulting Group (BCG) Matrix BCG Matrix and The Life Cycle BCG Matrix Advantages and Disadvantages Adapting The BCG Matrix Boston Consulting Group (BCG) Matrix Template CASE STUDY EXERCISE: BCG Matrix - Facebook CASE STUDY SOLUTION: BCG Matrix - Facebook CASE STUDY EXERCISE: BCG Matrix - Apple CASE STUDY SOLUTION: BCG Matrix - Apple CASE STUDY EXERCISE: BCG Matrix - Unilever CASE STUDY SOLUTION: BCG Matrix - Unilever MBA Strategy: Building Sustainable Competitive Advantage Competitive Advantage - Deriving Strategy from Inside the Firm Core Competency VRIO - Resources to Competitive Advantage CASE STUDY EXERCISE: Core Competency - Apple CASE STUDY SOLUTION: Core Competency - Apple Defining The Unique Selling Proposition ADL Matrix - Understanding Your Competitive Position ADL Matrix Template Strategy MBA: Growth Strategy Options Ansoff Product Market Matrix - How to Grow Your Business Organic vs Inorganic Growth Internal and External Growth Strategies Expanded CASE STUDY EXERCISE: Amazon's Growth Strategy CASE STUDY SOLUTION - Amazon's Growth Strategy Strategic Responses to Mature and Declining Markets Blue Ocean Strategy Blue Ocean Case Study - Apple Comparing Red Ocean and Blue Ocean Strategies How to Survive in an Over Fished Ocean How to Create a Comparative Competitive Analysis on a Page How to Create a Comparative Competitive Analysis on a Page Connecting MBA Strategy and Finance With Financial Modelling Making The Connection Between Strategy and Finance What is an Integrated Financial Model. Key Drivers of an Integrated Financial Model Model Structure Detailed Model Schedules Chart of Accounts Financial Statement Inputs and Outputs 10 Steps to Building an Integrated Financial Model Strategy MBA Implementation: Understanding the Strategic Planning Process Summary of The Strategic Analysis Process Understanding The Strategic Planning Process Four Step Strategic Management Process Strategy Formulation in Six Steps Mintzberg's Five Configurations Summary and Wrap Up - Congratulations on Completing This Strategy MBA Course! Course Summary and Wrap Up Supplementary Resources Supplementary Resources - Mini MBA Assessment Assessment - Mini MBA 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.  

This course is aimed at those who would like to work as a learning support assistant in a school or further education setting. Level 3 Certificate in Supporting Teaching and Learning will give you an understanding of the skills and knowledge needed to support learners in the classroom.

Elasticsearch and Elastic Stack are important tools for managing massive data. You need to know the problems it solves and how it works to design the best systems and be the most valuable engineer you can be. Explore Elasticsearch 8 and learn to manage operations on your Elastic Stack with this comprehensive course. This course covers it all, from installation to operations.

This course is aimed at those who would like to teach in the further education sector in a college or private training provider. Level 3 Award in Education & Training​ provides you with knowledge and understanding of the role of a teacher and how to meet individual learner needs.