1772 Analytics courses in London delivered Online

Developing the Business Case - Defining the Business Problem and Solution Scope: On-Demand This course teaches the purpose, structure, and content of a business case. It presents the basic techniques for determining financial ROI, non-tangible benefits, and the probability of meeting expectations. What You Will Learn You will learn how to: Prepare a business case Justify the business investment to solve the business need Perform feasibility studies and ROI analyses Foundation Concepts The role of the business analyst An introduction to the BABOK® Guide The business analyst and the product/project life cycle The business case deliverable Introducing the Business Case Process The business analyst and Strategy Analysis The business analyst and the business case process The business analyst during the business case process The business analyst after the business case process Importance of defining solution performance metrics Defining the Business Need Overview of defining the business need Business needs: problem/opportunity statement Product vision Objectives and constraints Exploring Business Case Solutions Overview of exploring solutions Solution identification for feasibility Solution definition for analysis Assessing project risks Justifying the Business Case Overview of justifying the business case Qualitative justification Quantitative justification Approving the Business Case Overview of business case approval Developing recommendations Preparing the decision package - Documents Preparing the decision Package - Presentations

Duration 3 Days 18 CPD hours This course is intended for Anyone interested in getting an overview of SAP S/4HANA Overview This course will prepare you to: Explain how SAP S/4HANA supports the digital transformation Navigate in SAP S/4HANA using SAP Fiori UX and other client technologies Describe system-wide concepts such as organizational elements or master data Describe key business processes of SAP S/4HANA Enterprise Management and SAP S/4HANA LoB solutions Describe integration scenarios between SAP S/4HANA and SAP Cloud solutions Explain SAP S/4HANA embedded analytics capabilities and additional BI/BW tools Gain basic knowledge about SAP Activate to accelerate SAP S/4HANA adoption This course provides an overview of SAP S/4HANA for learners who do not yet have specific SAP background knowledge and want to build SAP S/4HANA skills. Module 1 SAP S/4HANA Overview Module 2 Navigation Module 3 System-wide concepts Module 4 Logistics capabilities Module 5 Finance capabilities Module 6 Human Resources capabilities Module 7 SAP Activate Additional course details: Nexus Humans S4H00 SAP S/4HANA Overview 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 S4H00 SAP S/4HANA Overview 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.

Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course is as follows: IT Staff and Managers Network and systems personnel and engineers Small to mid-sized organizations that require fundamental knowledge on networking terms/concepts and configuration guidance for Meraki equipment. This also includes organizations looking to implement remote sites, provide a guest wireless solution, and collect user analytics. Overview Following completion of this course, students will understand, Install, Configure, Monitor, and Troubleshoot the following: Navigate and Configure the dashboard Add MX/MS devices to the Dashboard Understand and Configure Configuration Templates Understand and Configure Group Policies Manage/Configure/Integrate Users and Radius Policies Configure, Monitor, and Troubleshoot MS Switches Troubleshoot devices and Connectivity This 3-day Cisco course provide students with the skills to configure, optimize, and troubleshoot a Cisco Meraki solution. Students will learn how to install and optimize Meraki MS Switches. Students will also learn how to configure the Meraki Dashboard. Student will troubleshoot and configure the Meraki environment and learn how to diagnose and resolve user and Network issues that may arise. Introduction to Meraki The Meraki Mission Cisco Meraki: Bringing the Cloud to Enterprise Networks Cloud-Managed Networking Architecture Benefits of a Cloud-Based Solution The Meraki Full Stack: New and Unique Value Proposition Meraki Deployment ? How it works Why Customers Choose Meraki Meraki MS Switches Overview Meraki API Overview Meraki Licensing Enterprise Support Cisco Meraki Documentation Cloud Management with the Meraki Dashboard The Meraki Dashboard Dashboard: Organizational Structure Out-of-band Cloud Management Loss of Connectivity to the Cisco Meraki Cloud Meraki Dashboard Logins Create Dashboard Accounts and Organization MSP Logins - Manage Multiple Organizations Modify an Organization View Organizations Health Meraki Dashboard Best Practices Dashboard Search Meraki Help Organizational Wide Settings Configure Monitor Create and Manage Configuration Templates Network-Wide Settings Configure Meraki Switching MS Switch Platforms and Features MS Feature: Multi-gigabit Ethernet Cisco Meraki MS Access Switches Cisco Meraki MS Aggregation Switches Using Tags to search, monitor and configure Meraki Switches Meraki Switch Configuration Port Configuration Meraki Switch Monitoring Troubleshooting Tools Managing Firmware Upgrades

Do you want to learn how to install and configure Microsoft Windows Server 2019? Do you prefer learning hands-on as opposed to just a lecture and quiz? Then you are in the right place. This course teaches you the administration skills for installing and configuring a Microsoft Windows Server 2019 domain.

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course are Business Process Owners/Team Leads/Power Users, Industry Specialists, and Program/Project Managers. Overview Explain Maintenance and Repair business processesExecute maintenance tasksDefine relevant organizational elements used in Plant Maintenance In this course, students learn how to describe the maintenance and repair business processes within SAP ERP. This foundation knowledge is mandatory in order for students to have the confidence to complete the subsequent configuration courses. Plant Maintenance Organization Outlining EAM Processes and SAP Solution Portfolio Outlining the SAP User Interfaces and Roles Executing Maintenance Tasks with NetWeaver Business Client (NWBC) Checking Organizational Levels in Plant Maintenance Technical Objects Checking Functional Locations Managing Equipment Checking Linear Asset Management (LAM) Assigning Bills of Material (BOMs) to Technical Objects Breakdown Maintenance Planning Breakdown Maintenance Processing a Breakdown Maintenance Order Corrective Maintenance Outlining Corrective Maintenance Processing External Services Creating Notifications of Maintenance Requirements Creating Maintenance Orders Planning of Maintenance Orders Planning of Maintenance Orders for Operation Account Assignment (OAA) Selecting Maintenance Orders Planning for Maintenance Orders Scheduling Maintenance Executing Maintenance Tasks with SAP GUI Completing Notifications and Orders Confirm and Technically Complete an Order Creating a Shift Report Refurbishment of Spare Parts Checking Prerequisites in Materials Management (MM) Refurbishing Spare Parts Internally Refurbishing Spare Parts Externally Preventive Maintenance Outlining Preventive Maintenance Checking the Maintenance Task List Creating Maintenance Plans Scheduling Maintenance Plans Project-Oriented Maintenance Outlining Project-Oriented Maintenance Supplementary Processes for SAP Enterprise Asset Management Outlining Mobile Applications for SAP Enterprise Asset Management (SAP EAM) Using Visual Enterprise Documents Describing Basic Maintenance Processing Outlining Pool Asset Management (PAM) Outlining SAP Work Clearance Management (WCM) Applying Worker Safety Report and Analysis of Information for SAP Enterprise Asset Management (EAM) Analyzing Maintenance History with the Logistic Information System (LIS) Evaluating Plant Maintenance with SAP Business Warehouse (SAP BW) Outlining Rapid Deployment Solution EAM Analytics SAP Enterprise Asset Management Customizing Implementation Outlining SAP Enterprise Asset Management Customizing Implementation

🚀 Elevate Your Marketing Game with 'Digital Advertising with Microsoft: A Comprehensive Guide' 🚀 Are you ready to revolutionize your digital advertising strategy and unlock the full potential of Microsoft's powerful advertising platforms? Look no further! Introducing our groundbreaking online course: 'Digital Advertising with Microsoft.' 🌐 Why Microsoft? 🌐 Microsoft is more than just a tech giant - it's a game-changer in the digital advertising landscape. With platforms like Microsoft Advertising and LinkedIn, you have access to a vast audience of engaged users ready to connect with your brand. Whether you're a seasoned marketer or a budding entrepreneur, this course is your ticket to mastering the art and science of digital advertising with Microsoft.   🚀 What You'll Gain from this Course 🚀 ✅ Comprehensive Insights: Dive deep into the intricacies of Microsoft Advertising and understand how to leverage its unique features for maximum impact. ✅ Strategic Campaign Planning: Learn the art of crafting targeted, high-converting campaigns that resonate with your audience and drive results. ✅ Optimization Techniques: Discover insider tips and tricks to optimize your ad performance, ensuring you get the most bang for your advertising buck. ✅ Mastering LinkedIn Advertising: Unleash the power of LinkedIn advertising with strategies tailored to the platform's professional audience. ✅ Data-Driven Decision-Making: Harness the potential of data analytics to make informed decisions, continuously refining your campaigns for success. ✅ Exclusive Industry Insights: Stay ahead of the curve with the latest trends, updates, and best practices in the ever-evolving world of digital advertising.   🔥 Bonuses to Supercharge Your Learning Experience 🔥 🎁 Interactive Quizzes and Assignments: Reinforce your knowledge with hands-on activities that solidify your understanding. 📈 Real-world Case Studies: Gain inspiration from successful campaigns and apply those insights to your unique business challenges. 🤝 Community Support: Connect with like-minded professionals, share experiences, and get personalized advice from our expert instructors. 🔒 Lifetime Access: Enjoy unlimited access to course materials, updates, and a dedicated community to support your ongoing success.   💡 Ready to Transform Your Digital Advertising Game? 💡   Enroll now in 'Digital Advertising with Microsoft: A Comprehensive Guide' and take the first step towards becoming a digital advertising maestro. Don't miss out on this opportunity to boost your brand's visibility, drive conversions, and elevate your marketing ROI. 🌟 Join the digital advertising revolution with Microsoft - because your success is just a click away! 🌟 Course Curriculum Digital Advertising with Microsoft: A Comprehensive Guide Microsoft Ads dashboard 00:00 Campaign home overview 00:00 How to edit campaign name and change campaign budget 00:00 Ad Campaigns 00:00 Ad Bids & Optimization 00:00 Spy on Your Competitors 00:00 Set Your Budget & Automate Extensions 00:00 Ad Extension Overview & How Tos #1 00:00 How To Add Different Types of Extensions 00:00 Microsoft Ad Editor 00:00 Reports 00:00

Duration 3 Days 18 CPD hours This course is intended for Data Wrangling with Python takes a practical approach to equip beginners with the most essential data analysis tools in the shortest possible time. It contains multiple activities that use real-life business scenarios for you to practice and apply your new skills in a highly relevant context. Overview By the end of this course, you will be confident in using a diverse array of sources to extract, clean, transform, and format your data efficiently. In this course you will start with the absolute basics of Python, focusing mainly on data structures. Then you will delve into the fundamental tools of data wrangling like NumPy and Pandas libraries. You'll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialized pre-built routines in Python.This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you'll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool. The course will further help you grasp concepts through real-world examples and datasets. Introduction to Data Structure using Python Python for Data Wrangling Lists, Sets, Strings, Tuples, and Dictionaries Advanced Operations on Built-In Data Structure Advanced Data Structures Basic File Operations in Python Introduction to NumPy, Pandas, and Matplotlib NumPy Arrays Pandas DataFrames Statistics and Visualization with NumPy and Pandas Using NumPy and Pandas to Calculate Basic Descriptive Statistics on the DataFrame Deep Dive into Data Wrangling with Python Subsetting, Filtering, and Grouping Detecting Outliers and Handling Missing Values Concatenating, Merging, and Joining Useful Methods of Pandas Get Comfortable with a Different Kind of Data Sources Reading Data from Different Text-Based (and Non-Text-Based) Sources Introduction to BeautifulSoup4 and Web Page Parsing Learning the Hidden Secrets of Data Wrangling Advanced List Comprehension and the zip Function Data Formatting Advanced Web Scraping and Data Gathering Basics of Web Scraping and BeautifulSoup libraries Reading Data from XML RDBMS and SQL Refresher of RDBMS and SQL Using an RDBMS (MySQL/PostgreSQL/SQLite) Application in real life and Conclusion of course Applying Your Knowledge to a Real-life Data Wrangling Task An Extension to Data Wrangling

OVERVIEW Prerequisites—this is a day of supervised revision for anyone who wishes to take the PL-300 exam so we expect you to have attended a PL-300 course, either taught or on your own, before attending this day of revision. We are happy for attendees to join the course if you have taken the PL-300 with us or with another provider. In the morning we look at questions from the PL-300 exam, grouped by subject area. For each question we show you the correct answer and then explain why that is the correct answer. After lunch everyone tries a practice exam under exam conditions and we finish the day with clarification on the subjects or specific questions that the class is finding hard. The cost of the course includes a free voucher to take the exam, so please don’t buy your own separately. If you do so we cannot reimburse you with the cost of the exam. COURSE BENEFITS: Discover the parts of the course on which to focus most attention Become familiar with the styles and formats of the exam questions Alert yourself to some of the particularly tricky questions Familiarise yourself with the style of the 'case study' question Practice an exam under real exam conditions Get a feel for the time you need to devote to the normal questions and to the case study WHO IS THE COURSE FOR? Power BI report developers who need PL-300 Certification to apply for a job Business Intelligence specialists who wish to enhance their career prospects with a PL-300 Certification Anyone who wishes to maximise their chances of passing the PL-300 Power BI Data Analyst exam COURSE OUTLINE Module 1 Structure Of The Exam Registration for the exam and setup of your workspace The percentage of marks devoted to each subject area Types of questions used in the exam Advised timing for the normal questions and for the case study question Module 2 Individual Exam Question Practice The exam questions are divided into subject areas and for each question… We consider the question and try to answer it We view the answer Where necessary, we look at an in-depth explanation of why that is the correct answer Examine case study questions and how to treat these differently from the normal questions Module 3 Practice Exam Under Exam Conditions Attendees take a practice exam Attendees receive a mark, broken down into subject areas Module 4 Exam Question Practice Focussed On Tricky Areas Together, based on the results of attendees’ exam results we decide which areas on which to focus More practice on individual exam questions using the same style as in Module 2

Duration 2 Days 12 CPD hours This course is intended for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client

The BCS Foundation Certificate in Business Analysis is a foundation- level certification that provides a broad understanding of business analysis principles and techniques. It is offered by the British Computer Society (BCS), a professional association for IT professionals.