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Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm

Explore the intricacies of partnership accounting with our comprehensive course, covering essential practices and principles. Learn about partnership agreements, capital accounts, income allocation, financial statements, taxation basics, and more. Gain practical insights and skills to navigate partnership structures and financial management effectively. Enroll now!

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How Much to Eat? What Are The Features of a Nutritionally Balanced Diet Distribution of Nutritional Requirements in A Population Dietetic Planning Summary Assessment Module 07: Eating Disorders Defining Eating Disorder Eating Disorder Types Signs of Eating Disorders Reasons Why People Get Eating Disorders Who Develops Eating Disorders? Preventing Eating Disorders Treatment for Eating Disorders Main Treatments for Anorexia NervosaMain Treatments for Bulimia NervosaMain Treatments for Binge Eating Disorder Summary Assessment Module 08: Diet and Nutrition Related Diseases Overweight and Obesity Underweight and Negative Energy Balance Nutrition and Cancer Diet and Cardiovascular Disease Adverse Reactions to Food and Inborn Faults of Metabolism Summary Assessment Module 09: Use of Nutrition in Different Illnesses/Diseases Nutrition in Infections and Fever Nutrition in Diseases of the Gastrointestinal Tract Nutrition in Diseases of Liver, Gallbladder and Pancreas Nutrition in Immune System Dysfunction, AIDS and Allergy Nutrition in Stress, Burns and Surgery Summary Assessment Module 10: Weight Control Management Overview of Healthy Weight Energy Balance Counting Calories Balanced Diet and Weight Control Adopting Active Lifestyles Benefits of Exercise in a Weight Control Programme Calorie Requirement Summary Assessment Module 11: Weight Loss Management Benefits of Weight Loss The Motivation for Weight Loss Psychological Factors for Weight Loss Basal Metabolic Rate Functions of Human Metabolism Speed of Metabolism Reasons for Weight Gain Healthy Eating Maintaining a Healthy Weight Summary Assessment Module 12: The Relationship between Nutrition and Mental Health Protective Factors for Mental Health Fruit and VegetablesVitamins, Minerals and Acids Risk Factors for Mental Health Consuming Processed Foods and Additives The Role of Food in Preventing Mental Health Problems The Role of Diet in Relation to Specific Mental Health Problems DepressionSchizophreniaDementiaAttention Deficit Hyperactivity Disorder (ADHD) Module 13: Disorders of Mood and Behaviour Mood Disorders Assessment Essentials Attention Deficit Hyperactivity Disorder (ADHD) Schizophrenia Assessment Essential Alzheimer's Disease Bipolar Disorder Assessment Essentials Anxiety Disorders Show off Your New Skills with a Certification of Completion The learners have to successfully complete the course to achieve the CPDQS accredited certificate. 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Overview This comprehensive course on Python for Data Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python for Data Analysis comes with accredited certification, 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 Python for Data Analysis. It is available to all students, of all academic backgrounds. Requirements Our Python for Data Analysis 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 19 sections • 99 lectures • 00:08:00 total length •Welcome & Course Overview: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:37:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method ..: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00 •Resources- Python for Data Analysis: 00:00:00

Duration 5 Days 30 CPD hours This course is intended for DevelopersConsultants Overview Explore SAP Gateway architecture and deployment optionsPerform OData queries and operations with SAP GatewayDefine data model and implement CRUD operationsExtend SAP Gateway services and build new ones with CDS ViewsConfigure routing, multiple origin, and SAP Workflow supportImplement advanced OData operations and introduce OData V4Handle security and consume OData services using SAP Web IDE Students will explore SAP Gateway architecture and deployment options. SAP Gateway Overview SAP Gateway Architecture SAP Gateway Deployment Options OData Overview OData and REST OData Operations OData Queries Consuming OData using SAP Web IDE SAP Gateway Service Implementation Defining a Data Model Implementing Read Operations Implementing Navigation Implementing Query Options Implementing Change Operations SAP Gateway Service Generation RFC/BOR Generator Search Help Generator SAP Gateway Service Redefinition Redefining a Data Service Redefining a Gateway Service SAP Gateway and CDS Views SAP Fiori Programming Model CDS/SADL Generator Data Source Reference CDS View Annotations SAP Gateway Hub Functionalities Multiple Back-End Systems Support Configuring Routing Capabilities Multiple Origin Composition SAP Workflow Support Advanced OData Options Implementing Function Imports Implementing Expand Operations Implementing Deep Insert Operations Handling ETags Batch Requests Media Links Offline Support Server Side Caching SAP Gateway Security Authentication Data Security SAP Gateway OData V4 Support OData V4 Implementation OData V4 Publishing

Duration 4 Days 24 CPD hours This course is intended for Application consultants, Business Process Owners, Project Managers, and Users Overview This course will prepare you to:Navigate in SAP S/4HANA using the SAP Fiori LaunchpadMaintain master data for sales processesExecute sales processesDescribe features that are relevant during the process (e.g. availability check)Handle customer complaintsUtilize reporting functions in sales In this course, students will learn about the functions in sales processing in SAP S/4HANA. Course Outline Navigation with SAP Fiori Enterprise Structures S/4HANA Sales Overview of Sales Processes Master Data Automatic Data Determination and Scheduling Data Determination Transportation Scheduling Availability Check Collective Processing Additional Processes in Sales Complaints Processing Monitoring and Sales Analytics Additional course details: Nexus Humans S4600 SAP Business Processes in SAP S/4HANA Sales 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 S4600 SAP Business Processes in SAP S/4HANA Sales 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.

Overview of Barista Online Training Join our Barista Online Training course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Barista Online Training course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Barista Online Training course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! Get a Quick Look at The Course Content: This Barista Online Training Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Barista Online Training. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Barista Online Training course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Barista Online Training is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Barista Online Training course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Barista Online Training Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Section 01: Introduction to Coffee Coffee Tree and Brief History of Coffee 00:15:00 Coffee Varieties 00:20:00 Coffee Growing and Harvest 00:06:00 Coffee Processing Methods 00:08:00 Coffee Grading 00:09:00 First, Second and Third Wave of Coffee 00:11:00 Coffee Defects and Sorting 00:06:00 Section 02: Espresso Machine Introduction to Espresso Machine 00:21:00 Manual, Semi-Auto and Full Auto (Volumetric) Espresso Machines 00:05:00 Working Principles of Volumetric Machines 00:02:00 Espresso Machines Boiler Types 00:05:00 Section 03: Espresso Grinder Espresso Grinder 00:10:00 Grinder Burrs 00:03:00 How to Adjust the Grinder? 00:03:00 Section 04: Introduction to Espresso & Espresso Mechanics Dosing 00:02:00 Distribution 00:02:00 Tamping and Tampers 00:13:00 Inserting the Portafilter 00:03:00 Starting the Pump 00:01:00 Flushing the Group and Cleaning the Portafilter 00:02:00 What is Naked Portafilter? Why is it used? 00:02:00 The Importance of Water 00:04:00 Section 05: Let's Wrap Up Understanding Time Concept and Practices 00:15:00 Under and Over Extraction 00:10:00 Chanelling 00:11:00 Section 06: Milk Frothing Steam Boiler and Steam Wand 00:04:00 Milk Selection 00:06:00 Milk Frothing and Heat Targets 00:17:00 Milk Splitting 00:04:00 The Difference Between Cappuccino and Latte Foam 00:05:00 Section 07: Latte Art First Half 00:05:00 Second Half 00:07:00 Maneuvers 00:04:00 Heart - Positioning and Cutting 00:01:00 Pouring Workouts 00:07:00 Section 08: Menu Espresso Variations 00:04:00 Espresso with Water 00:03:00 Espresso with Milk 00:15:00 Espresso with Ice 00:03:00 Section 09: Behind The Bar Coffee Bar Layout 00:07:00 Work Flow 00:06:00 Clothing & Apparel 00:04:00 Hygiene 00:03:00 Real Life Scenarios and Simulation 00:07:00 Espresso Machine Cleaning and Maintenance 00:11:00

Duration 2 Days 12 CPD hours This course is intended for Application Consultant Business Analyst Business Process Architect Business Process Owner / Team Lead / Power User Developer Enterprise Architect Solution Architect Trainer Overview This course will prepare you to: Understand the basic concepts of SAP data warehousing Position the value-added of SAP Data Warehouse Cloud Integrate on-premise SAP Sources Model in SAP Data Warehouse Cloud Consume Data in SAP Analytics Cloud This course will prepare you to:Understand the basic concepts of SAP data warehousingPosition the value-added of SAP Data Warehouse CloudIntegrate on-premise SAP SourcesModel in SAP Data Warehouse CloudConsume Data in SAP Analytics Cloud Course Outline Getting started with data warehousing and the training environment Short introduction in SAP BW Bridge and other sources SAP Data Warehouse Cloud: -Introducing SAP Data Warehouse Cloud -Describing Spaces, integration options, operations and best practices -Introducing modeling in the Data Builder -Introducing modeling the Business Layer Describing consumption options in SAP Analytics Cloud Additional aspects in SAP Data Warehouse Cloud Outlook and roadmap Additional course details: Nexus Humans DSP01 SAP Introduction to SAP Data Warehouse Cloud 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 DSP01 SAP Introduction to SAP Data Warehouse Cloud 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.

With this course, you can achieve excellence in process improvement. Designed for professionals seeking to drive efficiency and quality within organisations, this course provides a deep understanding of Lean Six Sigma principles and methodologies and helps you improve your overall performance. This Course At A Glance Accredited by CPD UK Endorsed by Quality Licence Scheme Learn the fundamental aspects of lean six sigma green belt Understand what is lean six sigma green belt Get an introduction to quality and its importance Recognise the lean six sigma project selection methods Get an introduction to the project charter and learn to recognise business problems Learn sampling and data collection plan Understand how to baseline your project, analyse for finding the root cause and much more Get a better understanding of the measure phase, analyse phase, improve phase and control phase Lean Six Sigma Green Belt Certification Course Overview This lean six sigma green belt certification online course will help you kickstart your career in the field of lean six sigma. This extensive online course will also help you understand what is lean six sigma green belt and how to solve business problems systematically. You will also get an introduction to quality and its importance by taking this popular online course. This accredited lean six sigma green belt certification online course will also help you understand different phases such as the measure phase, analyse phase, improve phase and control phase By the end of the course, you will get a comprehensive understanding of the major strategies and techniques required to deal with business-related problems efficiently. Who should take this course? This comprehensive lean six sigma green belt certification 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 lean six sigma. Entry Requirements There are no academic entry requirements for this lean six sigma green belt certification 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 lean six sigma green belt certification 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 could grasp from each section. In the assessment pass mark is 60%. Course Curriculum Introduction to Quality and Lean and Six Sigma Introduction to Quality and it's Importance Introduction to Lean and Six Sigma Lean Six Sigma Project Selection Methods Introduction to Define Phase Project Charter How to Identify Business Problems How to Identify Stakeholders and Their Position How to Find Out The Scope of The Project Measure Phase Introduction to Measure Process Map & It's Relevance to KPIV / KPOV Data Types - Continuous and Discrete Sampling and Data Collection Plan Data Collection Plan Measurement System Analysis Attribute Gauge R&R Analysis Descriptive Statistics - Measure of Central Tendency Introduction to Variation Descriptive statistics - Measures of Variation Basic Data Diagnosis - Time Series Basic Data Diagnosis & Stratification- Run Chart , Bar & Pie Chart How to Baseline Your Project Process Capability Analysis Process Capability Indices Calculation of Z Score from Various Tables Cause and Effect Analysis Pareto Analysis for Prioritization Control Impact Analysis for Prioritizing X's 5 Why Analysis for Finding the Root Cause FMEA for Identifying the Risk & Root Causes Introduction to Analyze Phase Recap of Define and Measure Analyze Phase Learning Objectives and Deliverables Introduction & 5 Principles of Lean 8 Wastes in Lean Introduction to Value Stream Mapping How to draw a VSM - An Example Tools and Techniques to Analyze X's&Y's Tools Used for Correlation Studies Properties of Normal Distribution Introduction to Hypothesis testing Formulation of Null and Alternate Hypothesis Connection Between Hypothesis Testing and 5 Why Analysis Introduction to Type I and Type 2 Errors Introduction to P Value Hypothesis Testing of Means- Z Test Hypothesis Testing of Means - 1 Sample T Test Hypothesis Testing of Means - 2 Sample T Test Hypothesis Testing of Means - F Test & Anova Hypothesis Testing of Proportions - Chi Square Test Introduction to Regression - Simple Linear Regression Non Parametric Hypothesis Testing - Man- Whitney Test Introduction to Improve Phase Recap of Analyze phase Learning Objectives and Deliverable of Improve Phase Brainstorming Techniques Ground Rules for Solution Generation Criteria Based Matrix for Solution Priritization Pugh Matrix for Solution Prioritization Introduction to Poka Yoke Introduction to 5S Cost Benefit Analysis Implementation Plan Pilot Implementation Verification of Pilot Results Improve Roadmap Introduction to Control Phase Improve Recap Control Phase Learning Objectives and Deliverable Control Road Map and Objectives Process Control and Control Plan Introduction to Control Charts Interpreting Control Charts Control Limits and Specification Limits Types of Control Charts and Selection of Control Charts P and NP Chart U Chart IMR Chart X Bar R Chart Steps for Implementing Control Charts and Response Plan Before and After Display and Project Closure Supplementary Resources Supplementary Resources - Lean Six Sigma Green Belt Certification Assessment Assessment - Lean Six Sigma Green Belt Certification 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

Advertise your product better and improve its Marketing draw Do you feel your product is of genuine quality but isn't getting the sales it deserves? That's because advertising and marketing of the product is falling short. But you don't need to worry as this course will solve your problem. People who work in Advertising are in charge of creating marketing communication that persuades an audience to buy a product or service. These people may create advertisements for the company that employs them, prepare advertisements for a company's customers, or both. Advertising includes the people who create the advertisements as well as those who execute the design, creating the graphic, dialogue, or text for the concept the creative staff develops. A modern marketing team is built from a variety of roles from marketing managers and directors, through technical officers, analysts and more. The scope of these teams can range from market analysis and product promotion to pricing, distribution planning. There is plenty to learn in the world of advertising and marketing. And with this course it will guide you and improve your advertising and marketing ability and most of all boost your sales. Course Highlights Advertising and Marketing 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 Advertising and Marketing Diploma into 83 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 1 day, 20 hours hours 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 Advertising and Marketing 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? Advertising and Marketing 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 Advertising and Marketing 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. Marketing Basics Module One - Getting Started FREE 00:30:00 Module Two - What is Marketing FREE 00:30:00 Module Three - Common Marketing Types (I) 00:30:00 Module Four - Common Marketing Types (II) 00:30:00 Module Five - The Marketing Mix 00:30:00 Module Six - Communicating the Right Way 01:00:00 Module Seven - Customer Communications 00:30:00 Module Eight - Marketing Goals 00:30:00 Module Nine - The Marketing Funnel 01:00:00 Module Ten - Marketing Mistakes (I) 01:00:00 Module Eleven - Marketing Mistakes (II) 01:00:00 Module Twelve - Wrapping Up 00:30:00 Advanced Marketing Diploma- Activities 00:00:00 Mastering Digital Marketing Introduction to Internet Marketing and Reputation Management FREE 00:30:00 How to Optimize Your Site for Every Stage of the Buy Cycle FREE 00:30:00 Build Impression on Your Site 00:30:00 Types of Link Building 01:00:00 Importance of Landing Pages 00:30:00 Difference Between Internet Marketing and Online Customer Service 01:00:00 Concept Of Affiliate Programs 01:30:00 About Of Google Analytics 01:00:00 Online Press Releases 00:15:00 How to Get Traffic from Twitter 00:30:00 Importance of Testing E-Mail Messages 00:15:00 What is Viral Marketing 01:00:00 What is EMail Marketing 00:30:00 Difference Between Images and Video 00:15:00 How to Internet Marketing on Facebook 02:00:00 What is Search Engine Optimization(SEO)? 00:30:00 Understanding Search Results 00:15:00 How to Attract Customer on Your Product? 00:15:00 Time Makes Money 00:30:00 How to Test a Landing Page 00:30:00 Best Web Writing 01:00:00 Ways to Use of Humor in You Internet Marketing 00:15:00 Coupon Codes 00:15:00 When to Pull the Plug 00:15:00 Internet Advertising Techniques INTRODUCTION: WHAT IS AFFILIATE MARKETING? 01:00:00 WHY AFFILIATE MARKETING IS AWESOME 00:30:00 FINDING A PROFITABLE NICHE 00:30:00 CHOOSING AN AFFILIATE PRODUCT 00:30:00 THE ADVANTAGES OF CLICK BANK 00:30:00 ANALYZING THE CLICK BANK MARKETPLACE 00:30:00 CREATING YOUR HOP LINK 00:30:00 CREATING A FREE BLOG 00:30:00 PERFORMING EFFECTIVE KEYWORD RESEARCH 00:30:00 CREATING AN OPTIMIZED POST 01:00:00 POSTING TO YOUR BLOG 00:30:00 PROMOTING YOUR BLOG: AN OVERVIEW 00:30:00 PROMOTION: ARTICLE MARKETING 00:30:00 PROMOTION: SOCIAL BOOKMARKING 00:30:00 PROMOTION: BLOG COMMENTING 00:30:00 ADDITIONAL PROMOTION TIPS 00:30:00 CREATING YOUR OWN WEBSITE 00:30:00 Email Marketing Introduction to Email Marketing 00:30:00 Using Email Marketing Software 00:30:00 Building Email Lists by Quantity 00:30:00 Building Email Lists by Quality 00:30:00 Crafting an Email 01:00:00 Analyzing and Tracking Your Email Marketing Strategy 00:30:00 Facebook Marketing Basics Introduction to Facebook 00:15:00 Why You Should Care 00:15:00 Setting up a Facebook Page 00:30:00 How to Get More Likes for Your Facebook Page 00:30:00 Facebook Advertising 00:30:00 How Much Does Facebook Advertising Cost? 00:30:00 Marketing on Facebook 01:00:00 Create a content calendar 00:15:00 Understanding Edge Rank & the Art of Engagement 00:15:00 Twitter Marketing TWITTER FOR BUSINESS 00:15:00 TOP TWITTER TIPS 00:15:00 TWITTER IS 00:15:00 BUSINESS TERMS 00:15:00 WHY USE TWITTER FOR MARKETING 00:15:00 TWITTER MARKETING BASICS 01:00:00 TWITTER METRICS 00:30:00 YOUR BIO 00:15:00 WHEN TO TWEET 00:15:00 BUILDING YOUR COMMUNITY 00:15:00 GENERATING LEADS 00:15:00 REAL-TIME TWITTER MARKETING 00:15:00 ENGAGEMENT 00:15:00 TWETIQUETTE (TWEETING ETIQUETTE) 00:15:00 Mock Exam Final Exam