Duration 2.5 Days 15 CPD hours This course is intended for This course is intended for those with a basic understanding of Tableau who want to pursue mastery of the advanced features. Overview The goal of this course is to present essential Tableau concepts and its advanced functionalities to help better prepare and analyze data. This course will use Tableau Hyper, Tableau Prep and more. Getting Up to Speed ? a Review of the Basics Connecting Tableau to your data Connecting to Tableau Server Connecting to saved data sources Measure Names and Measure Values Three essential Tableau concepts Exporting data to other devices Summary All About Data ? Getting Your Data Ready Data mining and knowledge discovery process models CRISP?DM All About Data ? Joins, Blends, and Data Structures All About Data - Joins, Blends, and Data Structures Introduction to joins Introduction to complex joins Exercise: observing join culling Introduction to join calculations Introduction to spatial joins Introduction to unions Understanding data blending Order of operations No dimensions from a secondary source Introduction to scaffolding Introduction to data structures Exercise: adjusting the data structure for different questions Summary Table Calculations Table Calculations A definition and two questions Introduction to functions Directional and non-directional table calculations Application of functions Summary Level of Detail Calculations Level of Detail Calculations Building playgrounds Playground I: FIXED and EXCLUDE Playground II: INCLUDE Practical application Exercise: practical FIXED Exercise: practical INCLUDE Exercise: practical EXCLUDE Summary Beyond the Basic Chart Types Beyond the Basic Chart Types Improving popular visualizations Custom background images Tableau extensions Summary Mapping Mapping Extending Tableau's mapping capabilities without leaving Tableau Extending Tableau mapping with other technology Exercise: connecting to a WMS server Exploring the TMS file Exploring Mapbox Accessing different maps with a dashboard Creating custom polygons Converting shape files for Tableau Exercise: polygons for Texas Heatmaps Summary Tableau for Presentations Tableau for Presentations Getting the best images out of Tableau From Tableau to PowerPoint Embedding Tableau in PowerPoint Animating Tableau Story points and dashboards for Presentations Summary Visualization Best Practices and Dashboard Design Visualization Best Practices and Dashboard Design Visualization design theory Formatting rules Color rules Visualization type rules Compromises Keeping visualizations simple Dashboard design Dashboard layout Sheet selection Summary Advanced Analytics Advanced Analytics Self-service Analytics Use case ? Self-service Analytics Use case ? Geo-spatial Analytics Summary Improving Performance Improving Performance Understanding the performance-recording dashboard Exercise: exploring performance recording in Tableau desktop Performance-recording dashboard events Behind the scenes of the performance- recording dashboard Hardware and on-the-fly techniques Hardware considerations On-the-fly-techniques Single Data Source > Joining > Blending Three ways Tableau connects to data Using referential integrity when joining Advantages of blending Efficiently working with data sources Tuning data sources Working efficiently with large data sources Intelligent extracts Understanding the Tableau data extract Constructing an extract for optimal performance Exercise: summary aggregates for improved performance Optimizing extracts Exercise: materialized calculations Using filters wisely Extract filter performance Data source filter performance Context filters Dimension and measure filters Table-calculation filters Efficient calculations Boolean/Numbers > Date > String Additional performance considerations Avoid overcrowding a dashboard Fixing dashboard sizing Setting expectations Summary Additional course details: Nexus Humans Advanced Tableau 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 Advanced Tableau 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 Blockchain Architects Blockchain DevelopersApplication Developers Blockchain System AdministratorsNetwork Security Architects Cyber Security ExpertsIT Professionals w/cyber security experience Overview Those who attend the Security for Blockchain Professionals course and pass the exam certification will have a demonstrated knowledge of:Identifying and differentiating between security threats and attacks on a Blockchain network.Blockchain security methods, best practices, risk mitigation, and more.All known (to date) cyber-attack vectors on the Blockchain.Performing Blockchain network security risk analysis.A complete understanding of Blockchain?s inherent security features and risks.An excellent knowledge of best security practices for Blockchain System/Network Administrators.Demonstrating appropriate Blockchain data safeguarding techniques. This course covers all known aspects of Blockchain security that exist in the Blockchain environment today and provides a detailed overview of all Blockchain security issues, including threats, risk mitigation, node security integrity, confidentiality, best security practices, advanced Blockchain security and more. Fundamental Blockchain Security Cryptography for the Blockchain Hash Functions Public Key Cryptography Elliptic Curve Cryptography A Brief Introduction to Blockchain The Blocks The Chains The Network Promises of the Blockchain Blockchain Security Assumptions Digital Signature Security Hash Function Security Limitations of Basic Blockchain Security Public Key Cryptography Review Real-Life Public Key Protection Cryptography and Quantum Computers Lab 1 (Tentative) Finding Hash Function Collisions Reversible hash function Hash function with poor non-locality Hash function with small search space Breaking Public Key Cryptography Brute Forcing a Short Private Key Brute Forcing a Poorly-Chosen Private Key Consensus in the Blockchain Blockchain Consensus and Byzantine Generals Blockchain Networking Review Byzantine Generals Problem Relation to Blockchain Byzantine Fault Tolerance Introduction to Blockchain Consensus Security Blockchain Consensus Breakthrough Proof of Work What is Proof of Work? How does Proof of Work Solve BGP? Proof of Work Security Assumptions Attacking Proof of Work Proof of Stake What is Proof of Stake? How does Proof of Stake Solve BGP? Proof of Stake Security Assumptions Attacking Proof of Stake General Attacks on Blockchain Consensus Other Blockchain Consensus Algorithms Lab 2 (Tentative) Attacking Proof of Work Performing a 51% Attack Performing a Selfish Mining Attack Attacking Proof of Stake Performing a XX% Attack Performing a Long-Range Attack Malleable Transaction Attacks Advanced Blockchain Security Mechanisms Architectural Security Measures Permissioned Blockchains Checkpointing Advanced Cryptographic Solutions Multiparty Signatures Zero-Knowledge Proofs Stealth Addresses Ring Signatures Confidential Transactions Lab 3 (Tentative) Permissioned Blockchains 51% on a Checkpointed Blockchain Data mining on a blockchain with/without stealth addresses Zero-Knowledge Proof Simulation Trying to fake knowledge of a ZKP Module 4: Blockchain for Business Introduction to Ethereum Security What is Ethereum Consensus in Ethereum Smart Contracts in Ethereum Ethereum Security Pros and Cons of Ethereum Blockchains Introduction to Hyperledger Security What is Hyperledger Consensus in Hyperledger Smart Contracts in Hyperledger Hyperledger Security Pros and Cons of Hyperledger Blockchains Introduction to Corda Security What is Corda Consensus in Corda Smart Contracts in Corda Corda Security Pros and Cons of Corda Blockchains Lab 4 Blockchain Risk Assessment What are the Risks of the Blockchain? Information Security Information Sensitivity Data being placed on blockchain Risks of disclosure Regulatory Requirements Data encryption Data control PII protection Blockchain Architectural Design Public and Private Blockchains Open and Permissioned Blockchains Choosing a Blockchain Architecture Lab 5 Exploring public/private open/permissioned blockchains? Basic Blockchain Security Blockchain Architecture User Security Protecting Private Keys Malware Update Node Security Configuring MSPs Network Security Lab 6 (TBD) Smart Contract Security Introduction to Smart Contracts Smart Contract Security Considerations Turing-Complete Lifetime External Software Smart Contract Code Auditing Difficulties Techniques Tools Lab 7 (Tentative) Try a couple of smart contract code auditing tool against different contracts with built-in vulnerabilities Module 8: Security Implementing Business Blockchains Ethereum Best Practices Hyperledger Best Practices Corda Best Practices Lab 8 Network-Level Vulnerabilities and Attacks Introduction to Blockchain Network Attacks 51% Attacks Denial of Service Attacks Eclipse Attacks Routing Attacks Sybil Attacks Lab 9 Perform different network-level attacks System-Level Vulnerabilities and Attacks Introduction to Blockchain System Vulnerabilities The Bitcoin Hack The Verge Hack The EOS Vulnerability Lab 10 Smart Contract Vulnerabilities and Attacks Introduction to Common Smart Contract Vulnerabilities Reentrancy Access Control Arithmetic Unchecked Return Values Denial of Service Bad Randomness Race Conditions Timestamp Dependence Short Addresses Lab 11 Exploiting vulnerable smart contracts Security of Alternative DLT Architectures What Are Alternative DLT Architectures? Introduction to Directed Acyclic Graphs (DAGs) DAGs vs. Blockchains Advantages of DAGs DAG Vulnerabilities and Security Lab 12 Exploring a DAG network
Duration 3 Days 18 CPD hours This course is intended for This course is intended for beginner to intermediate business and requirements analysts who are looking to improve their elicitation and requirements writing and documentation skills. This course is also a great fit for technical writers, product and software testers, project managers, product owners who work closely with business analysts or who perform some for of business analysis themselves. Overview Understand the role of the business analyst and core competencies for performing successfully Discuss the criticality of business analysis and requirements for successful project outcomes Understand the main professional associations and standards supporting business analysts in the industry Discuss the common problems with requirements and explore approaches to address these issues Obtain a clear understanding of the various requirements types and the significance for eliciting each type Demonstrate your ability to identify stakeholders Explore various methods for understanding and analyzing stakeholders Discuss and apply good planning practices to requirements elicitation efforts Obtain knowledge and understanding of over 15 current and commonly applied elicitation techniques Understand how to progress from elicitation to analysis to documentation Write well-formed and validated requirements Gain understanding of the best practices for writing quality requirements Learn the technical writing techniques that apply directly to writing requirements documents Discuss writing pitfalls, risks that impact requirements, and how to address them Learn best practices for communicating and collaborating with stakeholders, sharing the results of elicitation and the resulting documentation Learn approaches for validating requirements Understand the difference between validating requirements and validating the solution With elicitation serving as a major component of the requirements process, it is imperative that business analysts maintain high competency levels in elicitation practices and technique use to help organizations overcome the requirements related challenges faced on projects. Regardless whether you are a practitioner just starting off your career in business analysis or whether you have been performing the role for some years, this course will provide insight into the latest thoughts on elicitation and writing effective requirements and present a number of current techniques that are being applied on projects across industries today. Review of Foundational Concepts Definition of a business analysis Definition of business analyst BA role vs. PM role Business analysis competencies Benefits of business analysis Purpose for having a BA standard IIBA?s BABOK© Guide and PMI?s Practice Guide in Business Analysis Business analysis core concepts Discussion: Project challenges Understanding Requirements Common problems with requirements Understand the problem first Define the business need Situation statements and moving to requirements Understanding requirement types Business requirements Stakeholder/User Requirements Solution Requirements Functional Requirements Non-Functional Requirements Assumptions and Constraints Discussions: Requirement problems, business needs, and identifying non-functional requirements Discovering Stakeholders Definition of a stakeholder Stakeholder types Identifying stakeholders Performing stakeholder analysis Stakeholders and requirements Tips for identifying stakeholders Grouping stakeholders Creating a RACI model Tips for analyzing stakeholders Documenting results of stakeholder analysis Workshop: Discovering stakeholders Preparing for Requirements Elicitation Planning for elicitation Benefits of elicitation planning What do you plan? The elicitation plan Setting objectives for elicitation Determining the scope for elicitation Establishing pre-work Determining the outputs for the session The iterative nature of elicitation Elicitation roles Elicitation planning techniques Discussions: Who to involve in elicitation, planning impacts, and unplanned elicitation Workshop: Planning for elicitation Conduct Requirements Elicitation Elicitation skillset Types of elicitation techniques Using active listening in elicitation Techniques for performing elicitation Benchmarking/Market Analysis Brainstorming Business Rules Analysis Collaborative Games Concept Modeling Data Mining Data Modeling Document Analysis Focus Groups Interface Analysis Interviews Observation Process Modeling Prototyping Survey or Questionnaire Workshops Write Effective Requirements Elicitation and Analysis Requirements related issues Implications of bad requirements Elicitation and documentation Writing skillset Documenting requirements Modeling requirements Defining the project life cycle Impact of project life cycle on documentation Requirements specifications Characteristics of good requirements Guidelines for writing textual requirements Structuring a requirement Writing pitfalls Traceability Requirements attributes Risks associated to requirements Discussions: Project Life Cycle and Correcting Poorly Written Requirements Workshops: Documenting Requirements and Identify Characteristics of Good Requirements Confirm and Communicate Elicitation Requirements Business analysis communication Requirements communication Communication skills The 7 Cs Timing of communication Planning communication Importance of Collaboration Planning collaboration Documenting communication/collaboration needs Confirming elicitation results Verify requirements Characteristics of good requirements (revisited) Requirements checklist Requirements validation Signing off on requirements Discussions: Responsibility for Communication, Eliciting Communication Needs, Validation Signoff Workshops: Communicating Requirements and Obtaining Signoff Evaluate the Solution Business analyst role in solution evaluation Why solutions under perform What we are looking for in solution evaluation When does solution evaluation occur Performing solution evaluation Planning solution evaluation Metrics that might exist Evaluating long term performance Qualitative vs. quantitative measures Tools & techniques used in solution evaluation Comparing expected to actuals When solution evaluation discovers a variance Tools/techniques for analyzing variances Proposing a recommendation Communicating results of solution evaluation Discussion: Addressing Variance Wrap up and Next Steps Useful books and links on writing effective requirements BABOK© Guide Business Analysis for Practitioners: A Practice Guide Additional course details: Nexus Humans BA04 - Eliciting and Writing Effective Requirements 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 BA04 - Eliciting and Writing Effective Requirements 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 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
Explore the intersection of business intelligence and data mining with our comprehensive course. Learn how to extract valuable insights from large datasets to drive informed business decisions. Gain practical skills in data analysis, pattern recognition, and predictive modeling. Whether you're a business professional or aspiring analyst, this course equips you with the tools and techniques to harness the power of data for strategic advantage in today's competitive business landscape.
Quality Guarantee: Promising training excellence, satisfaction gurantee Accredited by: CPD UK & Quality License Scheme Tutor Support: Unlimited support via email, till you complete the course Recognised Certification: Accepted by thousands of professional bodies Start Anytime: With 1 year access to the course materials Online Learning: Learn from anywhere, whenever you want This Data Mining Course - Business Intelligence will help you get knowledge about the fundamentals of data mining, data warehouse architecture and components of the data warehouse. This course at a glance Accredited by CPD UK Endorsed by Quality Licence Scheme Learn how to store and keep the data Understand the fundamentals of data mining Know what is the meaning of business intelligence Understand different types of charts Learn problem structure and decision support system Get acquainted with the characteristics of a good dashboard and link with the balance scorecard system Recognise the process of KPI development for using in the business intelligence dashboard Learn data warehouse architecture Know the components of the data warehouse Learn the basics of data mining Understand data mining applications Why Data Mining Course - Business Intelligence right for you? This Data Mining Course - Business Intelligence is designed by industry experts to provide the learners with a thorough understanding of the tools and techniques used in data mining business intelligence. This self-paced online course will also aid you with the process of storing and keeping the data safe. In addition to this, you will also get an introduction to the basics of data mining, data mining technique, data mining applications and much more. By the end of the course, you gain an understanding of the key aspects of data mining and business intelligence altogether. This career advancement online course will also help you to kickstart your career as a professional data analyst or business manager. Data Mining Course - Business Intelligence Details Accredited by 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. 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. Course Curriculum Data Warehouse - How to We Store and Keep the Data What is the Meaning of Business Intelligence Starting Case in Understanding Bi Needs in Different Phase of Business Decision Making Process and Need of It Systems Problem Structure and Decision Support System Introduction to Business Intelligence Applications Dashboard & Presentation Systems Different Types of Charts and Their Usage in Bi Dashboards Characteristics of Good Dashboard and Link With Balance Score Card System Examples of Bad Design of Dashboards - You Should Avoid - Part 1 Examples of Bad Design of Dashboards - You Must Avoid Process of Kpi Development for Using in Business Intelligence Dashboard Fundamentals of Data Mining and Process Overview of Data Warehouse More Detailed Explanation of Data Warehouse and Steps in Processing Data Warehouse Architecture - Tiers Components of Data Warehouse Approach to Develop Data Structure and Models of Database Business Intelligence and Dashboard Basics of Data Mining - Meaning Basics of Data Mining - Stages of Dm Data Mining Technique - Classification Data Mining - Clustering Data Mining - Association Rules Data Mining Applications - Banking Data Mining Applications - CRM Data Mining Applications - Other Industries Who should take this course? This comprehensive Data Mining - Business Intelligence 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 business intelligence and data mining methods. Entry Requirements There are no academic entry requirements for this Data Mining - Business Intelligence course, and it is open to students of all academic backgrounds. However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection. Assessment Method This Data Mining - Business Intelligence course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner can grasp from each section. In the assessment pass mark is 60%. Certification 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
Highlights of the Course Course Type: Online Learning Duration: 5 hours Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about early years foundation stage Understand the core competencies and principles of early years foundation stage Explore the various areas of early years foundation stage Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert early years foundation stage teacher Business Intelligence and Data Mining Course Master the skills you need to propel your career forward in business intelligence and data mining methods. This course will equip you with the essential knowledge and skillset that will make you a confident data analyst or business manager and take your career to the next level. This comprehensive business intelligence and data mining course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this business intelligence and data mining course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective business intelligence and data mining methods practice and equip you with the essential skills, confidence and competence to assist you in the business intelligence and data mining methods industry. You'll gain a solid understanding of the core competencies required to drive a successful career in business intelligence and data mining methods. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for data analyst or business manager or for people who are aspiring to specialise in business intelligence and data mining methods. Enrol in this business intelligence and data mining course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive business intelligence and data mining course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this business intelligence and data mining methods can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This business intelligence and data mining course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This business intelligence and data mining 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%. Advance Your Career This business intelligence and data mining course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Business Intelligence and Dashboard What Is The Meaning Of Business Intelligence 00:04:00 Starting Case In Understanding BI Needs In Different Phase Of Business 00:06:00 Decision Making Process And Need of IT Systems 00:20:00 Problem Structure And Decision Support System 00:11:00 Introduction To Business Intelligence Applications 00:18:00 Dashboard & Presentation Systems 00:07:00 Different Types Of Charts And Their Usage In BI Dashboards 00:30:00 Characteristics Of Good Dashboard And link With Balance Score Card System 00:13:00 Examples Of Bad Design Of Dashboards - You Should Avoid - Part 1 00:07:00 Examples Of Bad Design Of Dashboards - You Must AVOID 00:01:00 Process Of KPI Development For Using In Business Intelligence Dashboard 00:26:00 Data Warehouse - How To We Store And Keep The Data Overview Of Data Warehouse 00:08:00 More Detailed Explanation Of Data Warehouse And Steps In Processing 00:09:00 Data Warehouse Architecture - Tiers 00:18:00 Components of Data Warehouse 00:15:00 Approach To Develop Data Structure And Models of Database 00:16:00 Fundamentals Of Data Mining And Process Basics of Data Mining - Meaning 00:35:00 Basics Of Data Mining - Stages Of DM 00:25:00 Data Mining Technique - Classification 00:07:00 Data Mining - Clustering 00:02:00 Data Mining - Association Rules 00:05:00 Data Mining Applications - Banking 00:03:00 Data Mining Applications - CRM 00:04:00 Data Mining Applications - Other Industries 00:04:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00
Overview This comprehensive course on Business Intelligence and Data Mining Masterclass will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Business Intelligence and Data Mining Masterclass 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 Business Intelligence and Data Mining Masterclass. It is available to all students, of all academic backgrounds. Requirements Our Business Intelligence and Data Mining Masterclass is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path 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 1 sections • 24 lectures • 04:56:00 total length •Module 01: What is Business Intelligence?: 00:05:00 •Module 02: Starting Case in understanding BI needs in diff phase of business: 00:07:00 •Module 03: Decision Making Process and Need of IT systems: 00:20:00 •Module 04: Problem Structure and Decision Support System: 00:11:00 •Module 05: Introduction to BI Applications: 00:18:00 •Module 06: Dashboard presentation systems: 00:07:00 •Module 07: Different Types of Charts used in 131 Dashboards: 00:30:00 •Module 08: Good Dashboard and BSC: 00:13:00 •Module 09: Examples of Bad Dashboards 1: 00:07:00 •Module 10: Examples of Bad Dashboards 2: 00:01:00 •Module 11: Process of KPI Development: 00:26:00 •Module 12: Overview of Data warehouse: 00:08:00 •Module 13: More explaining of data warehouse and steps in processing: 00:09:00 •Module 14: Data Warehouse Architecture -Tiers: 00:18:00 •Module 15: Data Warehouse - components: 00:15:00 •Module 16: Approach to develop data structure and Models of database: 00:16:00 •Module 17: Basics of Data Mining - Meaning: 00:35:00 •Module 18: Basics of Data Mining - Stages of DM: 00:25:00 •Module 19: Data Mining Technique - Classification: 00:07:00 •Module 20: Data mining - Clustering: 00:02:00 •Module 21: Data Mining - Association Rules: 00:05:00 •Module 22: Data Mining Applications - Banking: 00:03:00 •Module 23: Data Mining Applications - CRM: 00:04:00 •Module 24: Data Mining Applications - other industries: 00:04:00
Unlock the power of data with our Business Intelligence and Data Mining course. Dive into the world of Business Intelligence (BI) and learn how data-driven decisions can revolutionize every aspect of a business. This course takes you through the decision-making process and the essential role of IT systems in today's business landscape. Discover the art of creating effective dashboards and master various chart types that bring data to life. Whether you're a budding entrepreneur, a business professional, or an aspiring data analyst, this course equips you with the knowledge and skills needed to harness the potential of data for strategic decision-making. Learning Outcomes Understand the fundamentals of Business Intelligence and its critical role in modern business. Explore the decision-making process and the need for robust IT systems to support it. Master the art of creating impactful dashboards and understand the principles of Balanced Scorecards (BSC). Gain expertise in data warehousing and database models. Delve into the world of Data Mining, from its stages to techniques like classification, clustering, and association rules. Why choose this Business Intelligence and Data Mining course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Business Intelligence and Data Mining course for? Aspiring entrepreneurs looking to make data-driven decisions. Business professionals seeking to enhance their strategic decision-making skills. Data enthusiasts interested in diving into the world of Business Intelligence. Students and graduates looking to specialize in data analytics. Professionals aiming to broaden their understanding of BI and Data Mining. Career path Data Analyst: £24,000 - £45,000 Business Intelligence Analyst: £26,000 - £54,000 Data Scientist: £29,000 - £70,000 Database Administrator: £25,000 - £52,000 Business Analyst: £27,000 - £55,000 IT Manager: £32,000 - £82,000 Prerequisites This Business Intelligence and Data Mining does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Business Intelligence and Data Mining was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Business Intelligence and Data Mining Module 01: What is Business Intelligence? 00:05:00 Module 02: Starting Case in understanding BI needs in diff phase of business 00:07:00 Module 03: Decision Making Process and Need of IT systems 00:20:00 Module 04: Problem Structure and Decision Support System 00:11:00 Module 05: Introduction to BI Applications 00:18:00 Module 06: Dashboard presentation systems 00:07:00 Module 07: Different Types of Charts used in 131 Dashboards 00:30:00 Module 08: Good Dashboard and BSC 00:13:00 Module 09: Examples of Bad Dashboards 1 00:07:00 Module 10: Examples of Bad Dashboards 2 00:01:00 Module 11: Process of KPI Development 00:26:00 Module 12: Overview of Data warehouse 00:08:00 Module 13: More explaining of data warehouse and steps in processing 00:09:00 Module 14: Data Warehouse Architecture -Tiers 00:18:00 Module 15: Data Warehouse - components 00:15:00 Module 16: Approach to develop data structure and Models of database 00:16:00 Module 17: Basics of Data Mining - Meaning 00:35:00 Module 18: Basics of Data Mining - Stages of DM 00:25:00 Module 19: Data Mining Technique - Classification 00:07:00 Module 20: Data mining - Clustering 00:02:00 Module 21: Data Mining - Association Rules 00:05:00 Module 22: Data Mining Applications - Banking 00:03:00 Module 23: Data Mining Applications - CRM 00:04:00 Module 24: Data Mining Applications - other industries 00:04:00 Assignment Assignment - Business Intelligence and Data Mining 00:00:00
Course Overview In the Business Intelligence and Data Mining Masterclass course, you will gain the skills and practical knowledge to develop, apply, and research business intelligence systems and data mining solutions for organisational issues. It will guide you through common BI applications, data warehouse components and data warehousing architecture, exploring the approach to develop structure and models of a database. Through expert video and instructor-led guidance, you will be introduced to a wide range of data mining techniques and methods for decision-making and implementing complex business intelligence solutions. You will gain an excellent understanding of the theoretical underpinnings of business intelligence and data mining methodologies, to successfully integrate DM elements into a BI systems development project. Ensure your professional development and gain the most in-demand skills needed to fast track your career, by enrolling in this certified online training course. This best selling Business Intelligence and Data Mining Masterclass has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Business Intelligence and Data Mining Masterclass is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Business Intelligence and Data Mining Masterclass is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Business Intelligence and Data Mining Masterclass is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Business Intelligence and Data Mining Masterclass, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Business Intelligence and Data Mining Masterclass will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Business Intelligence and Data Mining Masterclass to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.
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Register on the Business Intelligence and Data Mining today and build the experience, skills and knowledge you need to enhance your development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The Business Intelligence and Data Mining is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! Why Choose this Course Earn a digital Certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of- Video lessons Online study supplies Assignment Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £99. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate of Achievement from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment In order to ensure the Quality Licensing scheme endorsed and CPD acknowledged certificate, learners need to score at least 60% pass marks on the assessment process. After submitting assignments, our expert tutors will evaluate the assignments and give feedback based on the performance. After passing the assessment, one can apply for a certificate. Who is this course for? The course is ideal for those who already work in this sector or are an aspiring expert. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a lesson to prove your newly-acquired knowledge. Course Content Business Intelligence and Data Mining Module 01: What is Business Intelligence? 00:05:00 Module 02: Starting Case in understanding BI needs in diff phase of business 00:07:00 Module 03: Decision Making Process and Need of IT systems 00:20:00 Module 04: Problem Structure and Decision Support System 00:11:00 Module 05: Introduction to BI Applications 00:18:00 Module 06: Dashboard presentation systems 00:07:00 Module 07: Different Types of Charts used in 131 Dashboards 00:30:00 Module 08: Good Dashboard and BSC 00:13:00 Module 09: Examples of Bad Dashboards 1 00:07:00 Module 10: Examples of Bad Dashboards 2 00:01:00 Module 11: Process of KPI Development 00:26:00 Module 12: Overview of Data warehouse 00:08:00 Module 13: More explaining of data warehouse and steps in processing 00:09:00 Module 14: Data Warehouse Architecture -Tiers 00:18:00 Module 15: Data Warehouse - components 00:15:00 Module 16: Approach to develop data structure and Models of database 00:16:00 Module 17: Basics of Data Mining - Meaning 00:35:00 Module 18: Basics of Data Mining - Stages of DM 00:25:00 Module 19: Data Mining Technique - Classification 00:07:00 Module 20: Data mining - Clustering 00:02:00 Module 21: Data Mining - Association Rules 00:05:00 Module 22: Data Mining Applications - Banking 00:03:00 Module 23: Data Mining Applications - CRM 00:04:00 Module 24: Data Mining Applications - other industries 00:04:00 Assignment Assignment - Business Intelligence and Data Mining 2 weeks, 1 day Order Your Certificate Order your Certificate QLS 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.
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