110 Educators providing Business Intelligence (BI) courses

What you will learn from this course? Gain comprehensive knowledge about business intelligence Understand the core competencies and principles of business intelligence Explore the various areas of business intelligence Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert business intelligence analyst Course Highlights Course Type: Self-paced online course Duration: 1 to 2 hours Tutor Support: Full tutor support is included Customer Support: 24/7 customer support is available Introduction to Business Intelligence (BI) Course Master the skills you need to propel your career forward in business intelligence. This course will equip you with the essential knowledge and skillset that will make you a confident business intelligence analyst and take your career to the next level. This comprehensive business intelligence (BI) course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this business intelligence (BI) 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 practice and equip you with the essential skills, confidence and competence to assist you in the business intelligence industry. You'll gain a solid understanding of the core competencies required to drive a successful career in business intelligence. 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 business intelligence analyst or for people who are aspiring to specialise in business intelligence. Enrol in this business intelligence (BI) 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 (BI) 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 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 (BI) 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 (BI) 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 (BI) 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. Study Plex Subscription Study plex also provides a subscription option that allows you unlimited access to more than 700+ CPD courses for learning. You only need to spend £79 to take advantage of this fantastic offer, and you'll get an unlimited subscription for a full year. Additionally, you can cancel your membership from your account at any time by getting in touch with our friendly and devoted customer care team. Visit our subscriptions page for more details if you're interested. Why you should train with Study Plex? At Study Plex, you will have the chance to build social, technical and personal skills through a combination of extensive subjects tailored according to your interest. Along with receiving comprehensive knowledge and transferable skills, there are even more reasons o be involved with us, which include: Incredible Customer Support: We offer active customer service in the form of live chat, which you can access 24/7 Expert Tutor Support: You'll have access to our devoted and dedicated tutor support with all of our courses whenever you need it. Price Justified by Quality: We ensure that you will have the best experience possible for the price you are paying for the course. Money-back Guarantee: We provide a money-back guarantee if you are not satisfied with the course's quality. There is a 14-day time limit on this option (according to the terms and conditions). Instalment Facility: If your course costs more than £50, you can pay in three instalments using the instalment option. Satisfaction Guarantee: Our courses are designed to meet your demands and expectations by all means. 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. 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. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. 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. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Introduction Introduction to Business Intelligence (BI) 00:16:00 Business Intelligence (BI) and Analytics 00:05:00 Business Reporting 00:16:00 Business Reporting Cont'd 00:16:00 Business Intelligence (BI) and Analytics 00:05:00 Process Mining 00:13:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Supplementary Resources Supplementary Resources - Introduction to Business Intelligence (BI) 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

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

Duration 2 Days 12 CPD hours This course is intended for System administrators Overview Prepare you to perform key administrative tasks in SAP BusinessObjects Business Intelligence platform to manage users, groups, and objects, and to distribute contents to users. In this course, students perform key administrative tasks in SAP BusinessObjects Business Intelligence platform to manage users, groups, and objects, and to distribute contents to users. SAP BusinessObjects Business Intelligence (BI) Platform Identifying the Components of the SAP BusinessObjects Business Intelligence BI Platform Content and Objects in the SAP BusinessObjects Business Intelligence (BI) Platform Viewing and Modifying Objects in the BI Platform Organizing Objects in the BI Platform Searching for Content in the BI Platform User and User Group Security in the SAP BusinessObjects Business Intelligence (BI) Platform Setting Up Users and Groups Administering Rights Application Security in the SAP BusinessObjects Business Intelligence (BI) Platform Managing Access to Applications Securing Applications Content Distribution Using Scheduling and Alerting Scheduling Objects Managing Instances Managing Calendars Managing Events Configuring Alerts and Alerting Publications and Publishing Designing Publications Additional course details: Nexus Humans BOE310 SAP BusinessObjects Business Intelligence Platform - Administration and Security 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 BOE310 SAP BusinessObjects Business Intelligence Platform - Administration and Security 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.

SQL Queries Course, 1-Day. Basic SQL syntax. This course is good for any database, covering standard SQL. Most attendees are in-work IT Professional. Private individuals are also very welcome.

Business Intelligence for PMs and BAs Today, managers and workers need to interact differently as they face an always-more competitive environment. More and more, we see a new kind of Business Intelligence rising: the collaborative BI. It includes a combination of collaboration tools, including spanning social media and other 2.0 technologies, with online BI tools.' (Source: The datapine Blog)Business Intelligence (BI) is an emerging concept that refers to technologies, applications and practices for the collection, integration, analysis and presentation of business information. The purpose of Business Intelligence for projects is to support better business decision making for project stakeholders. By understanding and applying Business Intelligence, professionals will be better equipped to meet project KPIs and CSFs that lead to project success. In this presentation, we will: Explore and explain this emerging concept of collaborative business intelligence Discuss how BI can help improve certain aspects of decision making for projects, programs and portfolio management Cover the important trends for the adoption of business intelligence in the project life cycle Demonstrate real examples of tool combinations such as those led by Microsoft® with Power BI and Microsoft® Project

Business Intelligence: In-House Training Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence

Business Intelligence Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence

Data Visualization Courses London. In this Power BI Course, you will learn how to translate data trends, summaries, statistics and insights from your data into powerful and inspirational visualizations This course is ideal for managers and data analysts who need to make business decisions based on data.

Business Intelligence: Virtual In-House Training Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence

Embark on a journey to become a proficient Business Intelligence Analyst with the comprehensive course 'The Business Intelligence Analyst.' Delve into the world of data-driven decision-making, exploring the core concepts of Business Intelligence (BI), dashboard presentation systems, data mining techniques, and the vital role of data warehouses. Equip yourself with the skills to develop effective KPIs and design impactful dashboards for informed business insights. Learning Outcomes: Grasp the fundamental concepts of Business Intelligence and its significance in modern enterprises. Comprehend the decision-making process and the need for IT systems in supporting business choices. Explore the architecture and components of data warehouses, vital for data organization. Understand the intricacies of dashboard presentation systems and their varied applications. Identify different types of charts used in dashboards and their role in data visualization. Evaluate good dashboard design principles and implement Balanced Scorecard (BSC) strategies. Learn the basics of data mining, including classification, clustering, and association rules. Gain insights into real-world data mining applications across industries, such as banking and CRM. Why buy this The Business Intelligence Analyst Course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the The Business Intelligence Analyst Course there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This The Business Intelligence Analyst Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.  Aspiring Business Intelligence Analysts and Data Professionals. Individuals interested in leveraging data for strategic decision-making. Managers and Executives seeking to enhance business insights and performance. IT and Software Professionals exploring the field of Business Intelligence. Prerequisites This The Business Intelligence Analyst Course 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. Career path Business Intelligence Analyst - $65,000 to $95,000/year. Data Analyst - $60,000 to $90,000/year. Data Scientist - $80,000 to $120,000/year. BI Consultant - $70,000 to $110,000/year. Analytics Manager - $90,000 to $130,000/year Course Curriculum The Business Intelligence Analyst Course 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 - The Business Intelligence Analyst Course 00:00:00