268 Decision Making courses in Syston delivered Live Online

Duration 3 Days 18 CPD hours This course is intended for The ideal audience for this course includes database enthusiasts, IT professionals, and developers who are eager to expand their knowledge and skill set in database management and optimization. Roles that would greatly benefit from attending this course include: Database Developers: Those who design, implement, and maintain databases as part of their primary responsibilities and want to improve their expertise in schema design, query optimization, and advanced database features. Backend Developers: Professionals who work on server-side application logic and require a strong understanding of database management to integrate data storage and retrieval processes into their applications. Overview Upon completing this course, database developers will be able to: Design and implement efficient database schemas by employing normalization techniques, appropriate indexing strategies, and partitioning methods to optimize data storage and retrieval processes. Develop advanced SQL queries, including joining multiple tables, utilizing subqueries, and aggregating data, to extract valuable insights and facilitate decision-making processes. Implement stored procedures, functions, and triggers to automate common database tasks, enforce data integrity, and improve overall application performance. Apply database performance tuning techniques, such as query optimization, index management, and transaction control, to ensure optimal resource usage and enhanced system responsiveness. Integrate databases with various programming languages and platforms, enabling seamless data access and manipulation for web, mobile, and desktop applications. PostgreSQL is a powerful, open-source object-relational database management system that emphasizes extensibility, data integrity, and high performance. Its versatility and robust feature set make it an ideal choice for developers working on projects of all sizes, from small-scale applications to enterprise-level systems. By learning PostgreSQL, developers can tap into its advanced capabilities, such as full-text search, spatial data support, and customizable data types, allowing them to create efficient and scalable solutions tailored to their unique needs. PostgreSQL for Database Developers is a three-day hands-on course that explores the fundamentals of database management, covering everything from installation and management to advanced SQL functions. Designed for beginners and enthusiasts alike, this course will equip you with the knowledge and skills required to effectively harness the power of PostgreSQL in today's data-driven landscape. Throughout the course you?ll be immersed in a variety of essential topics, such as understanding data types, creating and managing indexes, working with array values, and optimizing queries for improved performance. You?ll gain valuable hands-on experience with real-world exercises, including the use of the psql client, writing triggers and stored procedures with PL/pgSQL, and exploring advanced SQL functions like Common Table Expressions (CTE), Window Functions, and Recursive Queries. You?ll exit this course with a solid foundation in PostgreSQL, enabling you to confidently navigate and manage your databases with ease and efficiency. Installing & Managing PostgreSQL PostgreSQL installation process Optimal configuration settings User and role management Database backup and restoration Overview of PostgreSQL Database PostgreSQL architecture overview Understanding database objects Efficient data storage Transaction management basics Using the psql client Introduction to psql Essential psql commands Executing queries effectively Managing databases with psql Understanding PostgreSQL data types Numeric data types explored Character and binary types Date, time, and boolean values Array and other types Understanding sequences Sequence creation and usage Customizing sequence behavior Implementing auto-increment columns Sequence manipulation and control Creating & managing indexes PostgreSQL index fundamentals Designing partial indexes Utilizing expression-based indexes Index management techniques Using COPY to load data COPY command overview Importing and exporting data Handling CSV and binary formats Performance considerations Working with Array Values Array value basics Array manipulation functions Querying arrays efficiently Multidimensional array handling Advanced SQL Functions Mastering Common Table Expressions Utilizing Window Functions Regular Expressions in SQL Crafting Recursive Queries Writing triggers & stored procedures with PL/pgSQL PL/pgSQL variables usage Implementing loop operations PERFORM and EXECUTE statements Developing PostgreSQL triggers Using the PostgreSQL query optimizer Query analysis and optimization EXPLAIN command insights PostgreSQL query operators Identifying performance bottlenecks Improving query performance Query performance tuning Index optimization strategies Efficient database partitioning Connection and resource management Wrap Up & Additional Resources Further learning opportunities Staying up-to-date with PostgreSQL Community engagement and support Additional course details: Nexus Humans PostgreSQL for Database Developers (TTDB7024) 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 PostgreSQL for Database Developers (TTDB7024) 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 ideal audience for the RPA and UiPath Boot Camp is beginners in the field of RPA and individuals in roles such as developers, project managers, operation analysts, and tech enthusiasts looking to familiarize themselves with automation technologies. It's also perfectly suited for business professionals keen on understanding and implementing automated solutions within their organizations to optimize processes. Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Automation Learning expert instructor, students will explore: Gain a thorough understanding of Robotic Process Automation (RPA) and its applications using UiPath, setting a solid foundation for future learning and application. Learn to record and play in UiPath Studio, a key skill that enables automating complex tasks in a user-friendly environment. Master the art of designing and controlling workflows using Sequencing, Flowcharting, and Control Flow, helping to streamline and manage automation processes effectively. Acquire practical skills in data manipulation, from variable management to CSV/Excel and data table conversions, empowering you to handle data-rich tasks with confidence. Develop competence in managing controls and exploring various plugins and extensions, providing a broader toolkit for handling diverse automation projects. Get hands-on experience with exception handling, debugging, logging, code management, and bot deployment, fundamental skills that ensure your automated processes are reliable and efficient. How to deploy and control Bots with UiPath Orchestrator The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. What is Robotic Process Automation? Scope and techniques of automation Robotic process automation About UiPath The future of automation Record and Play UiPath stack Downloading and installing UiPath Studio Learning UiPath Studio Task recorder Step-by-step examples using the recorder Sequence, Flowchart, and Control Flow Sequencing the workflow Activities Control flow, various types of loops, and decision making Step-by-step example using Sequence and Flowchart Step-by-step example using Sequence and Control flow Data Manipulation Variables and scope Collections Arguments ? Purpose and use Data table usage with examples Clipboard management File operation with step-by-step example CSV/Excel to data table and vice versa (with a step-by-step example) Taking Control of the Controls Finding and attaching windows Finding the control Techniques for waiting for a control Act on controls ? mouse and keyboard activities Working with UiExplorer Handling events Revisit recorder Screen Scraping When to use OCR Types of OCR available How to use OCR Avoiding typical failure points Tame that Application with Plugins and Extensions Terminal plugin SAP automation Java plugin Citrix automation Mail plugin PDF plugin Web integration Excel and Word plugins Credential management Extensions ? Java, Chrome, Firefox, and Silverlight Handling User Events and Assistant Bots What are assistant bots? Monitoring system event triggers Monitoring image and element triggers Launching an assistant bot on a keyboard event Exception Handling, Debugging, and Logging Exception handling Common exceptions and ways to handle them Logging and taking screenshots Debugging techniques Collecting crash dumps Error reporting Managing and Maintaining the Code Project organization Nesting workflows Reusability of workflows Commenting techniques State Machine When to use Flowcharts, State Machines, or Sequences Using config files and examples of a config file Integrating a TFS server Deploying and Maintaining the Bot Publishing using publish utility Overview of Orchestration Server Using Orchestration Server to control bots Using Orchestration Server to deploy bots License management Publishing and managing updates

Course Overview This comprehensive Data Analytics course provides an in-depth exploration of data analysis, covering the essential principles and techniques used to extract valuable insights from data. Learners will engage with core concepts, such as data mining, statistical analysis, and visualisation, enabling them to make informed decisions and drive business outcomes. By the end of the course, participants will have the skills to analyse and interpret data, apply analytical tools effectively, and present their findings clearly. This course equips learners with the necessary tools to understand and leverage data in various professional settings, adding significant value to their career prospects. Course Description The Data Analytics course covers a wide range of topics, including the fundamentals of data analysis, statistical methods, and various data visualisation techniques. Learners will explore essential tools such as Excel and specialised software, while gaining a deep understanding of how to collect, store, and process data effectively. Emphasis is placed on developing the analytical mindset required to interpret data accurately and draw actionable insights. This course is designed to ensure learners can confidently navigate the world of data analytics and apply their knowledge in diverse industries, enhancing their problem-solving and decision-making abilities. Course Modules Module 01: Introduction to the World of Data Module 02: Basics of Data Analytics Module 03: Statistics for Data Analytics Module 04: Actions Taken in the Data Analysis Process Module 05: Gathering the Right Information Module 06: Storing Data Module 07: Data Mining Module 08: Excel for Data Analytics Module 09: Tools for Data Analytics Module 10: Data-Analytic Thinking Module 11: Data Visualisation That Clearly Describes Insights Module 12: Data Visualisation Tools (See full curriculum) Who is this course for? Individuals seeking to enhance their analytical skills for data-driven decision-making. Professionals aiming to transition into data analytics or enhance their data-related roles. Beginners with an interest in understanding data and its applications across industries. Business professionals seeking to leverage data for strategic growth. Career Path Data Analyst Business Intelligence Analyst Data Scientist Market Research Analyst Operations Analyst Financial Analyst Business Analyst Data Visualisation Specialist

Financial Analysis Course Overview The "Financial Analysis" course provides a comprehensive introduction to financial analysis, equipping learners with the knowledge and skills needed to interpret and evaluate financial statements. Covering key areas such as balance sheets, income statements, and cash flow analysis, this course enables learners to assess financial performance and make informed decisions. Whether you are starting your career in finance or aiming to enhance your existing knowledge, this course offers essential tools for financial analysis. Upon completion, learners will be able to analyse financial data effectively, understand the key financial indicators of businesses, and contribute to strategic financial decision-making. Course Description This course covers the fundamentals of financial analysis, providing in-depth insights into financial statements, including balance sheets, income statements, and cash flow statements. Learners will explore various financial reporting techniques, evaluate profitability, and develop the ability to conduct ratio and equity analysis. The course also delves into the applications and limitations of EBITDA and teaches learners to assess credit risks. By the end of the course, participants will have gained valuable skills in financial data interpretation, enabling them to assess financial health and contribute to strategic financial decisions in organisations. The learning experience combines theoretical knowledge with practical analytical skills to prepare learners for roles in finance and accounting. Financial Analysis Curriculum: Module 01: Introduction to Financial Analysis Module 02: The Balance Sheet Module 03: The Income Statement Module 04: The Cash Flow Statement Module 05: Financial Reporting Module 06: Analysing Profitability Module 07: The Applications and Limitations of EBITDA Module 08: Credit Analysis Module 09: Equity Analysis Module 10: Ratio Analysis (See full curriculum) Who is this course for? Individuals seeking to understand financial analysis Professionals aiming to enhance their financial reporting and decision-making skills Beginners with an interest in finance or accounting Business owners looking to improve their financial literacy Career Path Financial Analyst Accountant Credit Analyst Financial Consultant Corporate Finance Manager Business Intelligence Analyst Investment Analyst

Accounting and Finance Course Overview: This Accounting and Finance course offers a comprehensive understanding of the key principles and practices involved in accounting and finance. Learners will gain insights into essential financial concepts, from understanding the role of accountants to analysing financial statements. The course equips learners with the skills needed to navigate the world of financial management, preparing them for a wide range of opportunities in the finance industry. By completing this course, learners will be able to confidently approach financial tasks, from budgeting to risk management, and develop a clear understanding of the financial decision-making process. Course Description: This course covers the fundamentals of accounting and finance, offering in-depth insights into financial processes, accounting mechanics, and the preparation and analysis of financial statements. Learners will explore the role of accountants, budgeting and budgetary control, and financial markets, while also gaining a strong foundation in financial risk management and investment strategies. With a focus on analytical skills, the course will help learners develop a deeper understanding of financial operations and decision-making. By the end of the course, participants will be well-equipped to analyse financial data, manage risks, and apply their knowledge in a range of financial contexts. Accounting and Finance Curriculum: Module 01: Introduction to Accounting and Finance Module 02: The Role of an Accountant Module 03: Accounting Process and Mechanics Module 04: Introduction to Financial Statements Module 05: Financial Statement Analysis Module 06: Budgeting and Budgetary Control Module 07: Financial Markets Module 08: Financial Risk Management Module 09: Investment Management Module 10: Auditing (See full curriculum) Who is this course for? Individuals seeking to gain a solid understanding of accounting and finance. Professionals aiming to develop their financial management skills. Beginners with an interest in the finance or accounting industries. Those looking to transition into a finance-focused career. Career Path: Accountant Financial Analyst Budget Analyst Investment Advisor Risk Manager Auditor Finance Manager Banking and Financial Services

Excel Vlookup, Xlookup, Match and Index Course Overview: This comprehensive course covers essential Excel functions such as VLOOKUP, XLOOKUP, MATCH, and INDEX, which are integral for efficient data management and analysis. Learners will gain a clear understanding of how to use these functions to simplify complex data tasks, enhance productivity, and improve decision-making. Throughout the course, students will master how to search, match, and retrieve data from large datasets, preparing them for real-world scenarios in finance, marketing, HR, and more. The course is designed to equip learners with the necessary skills to perform advanced Excel functions with confidence, contributing to their professional growth and data analysis expertise. Course Description: In this course, learners will explore the powerful functions of Excel, including VLOOKUP, XLOOKUP, MATCH, and INDEX, enabling them to perform efficient data searches, cross-referencing, and information retrieval. The course includes step-by-step lessons on how to apply these functions to real-world datasets, making it highly relevant for anyone working with large volumes of data. Learners will become proficient in building dynamic spreadsheets that streamline decision-making processes and improve data accuracy. Additionally, this course emphasises problem-solving techniques, empowering individuals to handle complex data-related tasks with ease. By the end of the course, learners will have a strong command of these Excel functions, boosting their data management and analytical capabilities. Excel Vlookup, Xlookup, Match and Index Curriculum: Module 01: Excel VLOOKUP Module 02: Excel XLOOKUP Module 03: Excel MATCH Module 04: Excel INDEX Module 05: Advanced VLOOKUP Techniques Module 06: Combining VLOOKUP, MATCH, and INDEX Module 07: Practical Applications of XLOOKUP (See full curriculum) Who is this course for? Individuals seeking to enhance their Excel skills for data analysis. Professionals aiming to improve their data management capabilities. Beginners with an interest in learning advanced Excel functions. Anyone looking to improve their problem-solving abilities in data-heavy tasks. Career Path: Data Analyst Financial Analyst Marketing Analyst HR Specialist Business Intelligence Specialist Excel Expert for Administrative or Management Roles

Information Management Course Overview This Information Management course provides a comprehensive understanding of the principles and practices essential for effectively managing information in today’s data-driven world. It covers core topics such as strategic planning, databases, management information systems, and the auditing of information systems. The course is designed to enhance learners' understanding of how information can be efficiently organised, secured, and utilised for decision-making within organisations. Upon completion, learners will be equipped with the skills to manage data, ensure compliance with data protection laws, and address ethical and social issues surrounding information management. This course is ideal for individuals looking to advance their knowledge in information management and pursue a career in this dynamic field. Course Description The Information Management course explores critical aspects of managing data and information systems, offering in-depth insights into the processes and tools used in modern organisations. The course covers a broad range of topics, including developing information management strategies, understanding and implementing databases, and examining management information systems (MIS) for efficient decision-making. Learners will also gain knowledge of auditing information systems to ensure accuracy, integrity, and security. The ethical, legal, and social considerations of data protection and information governance are also discussed. Throughout the course, learners will engage with key theories and practices, preparing them to apply their knowledge to various industries, ensuring organisations meet legal requirements and maximise the value of their information assets. Information Management Curriculum Module 01: Introduction to Information Management Module 02: Information Management Strategy Module 03: Databases and Information Management Module 04: Management Information Systems (MIS) Module 05: Auditing Information Systems Module 06: Ethical and Social Issues and Data Protection (See full curriculum) Who is this course for? Individuals seeking to understand the principles of information management. Professionals aiming to enhance their knowledge of information governance and security. Beginners with an interest in data management and organisational systems. Anyone looking to develop skills for improving organisational efficiency and compliance. Career Path Data Analyst Information Manager Records Manager IT Compliance Officer Data Protection Officer Information Systems Auditor

Generating new leads and new business can be both time-consuming and frustrating. It's not easy - it takes skill, careful preparation and the creation of effective models and methods, even perhaps using formal approaches and scripts. Once generated, a new lead or enquiry must also be carefully managed to maximise the potential revenue it can generate. But it's crucial to get it right. If your company can afford not to worry about getting new business - congratulations! If your company is completely confident that it is performing at peak potential in generating new leads - again, congratulations! But if your company is working in the real world, couldn't your team do with some help, to become even just that little bit more effective, to make the process just that little less painful? This highly practical, intensive workshop gives sales teams the proven strategies and tactics they need to build a sustainable new business pipeline. This course will help participants: Develop a clear and consistent process for new business development and lead-generation Master the secret of effective new business development and lead-generation - 'only sell the appointment or next stage of the sales process, not your product or service' Set and achieve the right level of new business development and lead-generation activity to achieve your personal and organisational sales goals Apply the key principles of effective prospecting and pipeline management using a proven toolkit and approach Overcome the most common 'put-offs' when conducting telephone or face-to-face business-development and lead-generation activities Develop an engaging telephone voice and manner - and a 'networking personality' Qualify potential opportunities with more accuracy on a consistent basis Prioritise opportunities and manage their time when sourcing new business Discover online sources of leads, contacts and referrals Overcome psychological blocks to cold or warm calling - theirs and the client's Identify potential prospects - and decision-makers and influencers within target prospects - with greater accuracy Make outbound sales or appointment calls with improved confidence, control and results Improve the conversion of calls to appointments by using more effective questions and sales messages Get past gatekeepers and assistants more effectively Make the most of your CRM software and systems 1 Online marketing - what works! Workshop overview and learning objectives Choosing your social media channels LinkedIn for sales and marketing Designing and implementing an effective new business email campaign online Creating a lead-generation strategy online - with case studies Avoiding common mistakes in social media marketing Case study: 'Best practice in social media sales and marketing' Using blogs and video-based marketing (eg, YouTube) New trends and how to keep your finger on the 'social media' pulse Twenty essential websites and online marketing tools 2 Making appointments by telephone Planning the call, telephone techniques, integrating with email and online marketing Developing a clear and consistent process to appointment-making Setting and achieving the right level of telephone activity to achieve your appointment goals Applying the key principles of effective prospecting and pipeline management generation, using a proven toolkit and approach Overcoming the most common 'put-offs' to seeing or engaging with you Overcoming psychological blocks to cold or warm calling - yours and the client's Identifying potential prospects - and decision-makers and influencers within target prospects - with greater accuracy Making outbound sales or appointment calls with improved confidence, control and results Improving conversion of calls to appointments by using more effective questions and sales messages The five keys to developing an engaging telephone voice and approaching manner 3 Power networking Strategies for networking and B2B referral-based marketing The importance, and different types, of networking How to work a room - preparation and strategy Communication dynamics in networking - the power of the listening networker Assumptions when networking Business networking etiquette Making connections, asking for cards, contact details and referrals, gaining follow-up commitments Building relationships - follow-up and follow-through 4 Developing new leads Strategies for first-time sales calls Gaining rapport and opening first-time and new business sales calls effectively Advanced consultative selling - questioning techniques to quickly and efficiently uncover opportunities, need areas and preferences Presenting your solution to a new or first-time customer - creating an enthusiastic and compelling personalised and persuasive summary of your proposal Value message - differentiate your solutions clearly and accurately, with tailored value statements Presenting the right initial USPs, features and benefits and making them relevant and real to the customer Smart ways to position price, emphasise value and be a strong player without being the cheapest or leading on price Learn and use advanced techniques to determine customer needs, value and decision-making criteria in depth on a first-time call 5 Organised persistence - CRM and prospect-tracking Organised persistence - sales tracking, following up on 'sleeping' customers, gaining referrals, time and territory management Maintaining a good database for maximising new business ROI Developing a contact strategy with different types and levels of contact Analysing your contact base using state-of-the-art software and tools Making the most of your CRM systems and solutions Understanding that your attitude makes a difference when sourcing new business Setting SMART objectives for new business development and lead-generation Practical exercise - setting personal development and business goals Time management tips to improve daily productivity New business pipeline management strategies for peak sales performance 6 Workshop summary and close Practical exercise - developing your new business action plan Review and feedback

Microsoft Power BI Training Course Overview: The Microsoft Power BI Training course is designed to equip learners with the knowledge and skills to use Power BI effectively for data analysis and reporting. This course covers the core features of Power BI, from data import and transformation to the creation of reports and visualizations. Learners will explore how to analyse data, generate insights, and create dynamic dashboards for reporting purposes. Whether you are looking to improve your analytical skills or advance your career, this course provides the foundation needed to become proficient in using Power BI for various data analysis tasks. By the end of the course, learners will be able to handle large data sets, create compelling visual reports, and make data-driven decisions. Course Description: This comprehensive Microsoft Power BI course delves into the essential components of the Power BI platform. Learners will start by exploring how to import and work with data, before progressing to designing reports and visualizations. The course includes an in-depth look at the various types of visualizations available, enabling learners to display data in an intuitive, easy-to-understand format. Additionally, learners will explore the Power BI Web App to access and share their reports online. As they move through the course, participants will gain valuable skills in data transformation, reporting, and visualization, all of which are applicable to industries requiring data-driven decision-making. By completing this course, learners will have a solid understanding of Power BI and the ability to create impactful reports and dashboards for business or personal use. Microsoft Power BI Training Curriculum: Module 01: Getting Started Module 02: Working with Data Module 03: Working with Reports and Visualizations Module 04: A Closer Look at Visualizations Module 05: Introduction to the Power BI Web App (See full curriculum) Who is this course for? Individuals seeking to understand Power BI and data analysis. Professionals aiming to enhance their data reporting skills. Beginners with an interest in business intelligence and data analytics. Anyone looking to improve their ability to visualise data for better decision-making. Career Path: Data Analyst Business Intelligence Analyst Reporting Specialist Data Visualisation Specialist Business Analyst

Diploma in Data Analysis Fundamentals Course Overview The Diploma in Data Analysis Fundamentals provides a comprehensive introduction to the core principles and techniques used in data analysis. Throughout this course, learners will explore various data analysis tools and methods, such as Pareto charts, histograms, and control charts, to gain insights into processes and performance. By focusing on key data analysis skills, including identifying variation and interpreting results, this course empowers learners to use data-driven approaches to improve business processes. Upon completion, learners will have the ability to assess and present data effectively, enabling informed decision-making in a wide range of industries. Course Description This course covers essential topics in data analysis, including the principles of process management, tools for data analysis, and methods to interpret and present performance data. Learners will delve into key techniques such as Pareto charts, histograms, run charts, and control charts, focusing on how to use these tools to identify patterns, variations, and areas for improvement. The course also includes a structured approach to performance measurement and provides exercises to reinforce the theoretical knowledge gained. By the end of the course, learners will be equipped with the skills to analyse data, identify trends, and contribute to process improvement initiatives within their organisations. Diploma in Data Analysis Fundamentals Curriculum Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding (See full curriculum) Who is this course for? Individuals seeking to enhance their data analysis skills. Professionals aiming to improve decision-making through data insights. Beginners with an interest in process improvement and business analysis. Data enthusiasts looking to build a solid foundation in analysis techniques. Career Path Data Analyst Business Intelligence Analyst Process Improvement Specialist Operations Analyst Quality Control Analyst