311 Business Intelligence (BI) courses

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is database professionals who need to fulfil a Business Intelligence Developer role. They will need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing. Overview Create sophisticated SSIS packages for extracting, transforming, and loading data Use containers to efficiently control repetitive tasks and transactions Configure packages to dynamically adapt to environment changes Use Data Quality Services to cleanse data Successfully troubleshoot packages Create and Manage the SSIS Catalog Deploy, configure, and schedule packages Secure the SSIS Catalog SQL Server Integration Services is the Community Courseware version of 20767CC Implementing a SQL Data Warehouse. This five-day instructor-led course is intended for IT professionals who need to learn how to use SSIS to build, deploy, maintain, and secure Integration Services projects and packages, and to use SSIS to extract, transform, and load data to and from SQL Server. This course is similar to the retired Course 20767-C: Implementing a SQL Data Warehouse but focuses more on building packages, rather than the entire data warehouse design and implementation. Prerequisites Working knowledge of T-SQL and SQL Server Agent jobs is helpful, but not required. Basic knowledge of the Microsoft Windows operating system and its core functionality. Working knowledge of relational databases. Some experience with database design. 1 - SSIS OVERVIEW * Import/Export Wizard * Exporting Data with the Wizard * Common Import Concerns * Quality Checking Imported/Exported Data 2 - WORKING WITH SOLUTIONS AND PROJECTS * Working with SQL Server Data Tools * Understanding Solutions and Projects * Working with the Visual Studio Interface 3 - BASIC CONTROL FLOW * Working with Tasks * Understanding Precedence Constraints * Annotating Packages * Grouping Tasks * Package and Task Properties * Connection Managers * Favorite Tasks 4 - COMMON TASKS * Analysis Services Processing * Data Profiling Task * Execute Package Task * Execute Process Task * Expression Task * File System Task * FTP Task * Hadoop Task * Script Task Introduction * Send Mail Task * Web Service Task * XML Task 5 - DATA FLOW SOURCES AND DESTINATIONS * The Data Flow Task * The Data Flow SSIS Toolbox * Working with Data Sources * SSIS Data Sources * Working with Data Destinations * SSIS Data Destinations 6 - DATA FLOW TRANSFORMATIONS * Transformations * Configuring Transformations 7 - MAKING PACKAGES DYNAMIC * Features for Making Packages Dynamic * Package Parameters * Project Parameters * Variables * SQL Parameters * Expressions in Tasks * Expressions in Connection Managers * After Deployment * How It All Fits Together 8 - CONTAINERS * Sequence Containers * For Loop Containers * Foreach Loop Containers 9 - TROUBLESHOOTING AND PACKAGE RELIABILITY * Understanding MaximumErrorCount * Breakpoints * Redirecting Error Rows * Logging * Event Handlers * Using Checkpoints * Transactions 10 - DEPLOYING TO THE SSIS CATALOG * The SSIS Catalog * Deploying Projects * Working with Environments * Executing Packages in SSMS * Executing Packages from the Command Line * Deployment Model Differences 11 - INSTALLING AND ADMINISTERING SSIS * Installing SSIS * Upgrading SSIS * Managing the SSIS Catalog * Viewing Built-in SSIS Reports * Managing SSIS Logging and Operation Histories * Automating Package Execution 12 - SECURING THE SSIS CATALOG * Principals * Securables * Grantable Permissions * Granting Permissions * Configuring Proxy Accounts ADDITIONAL COURSE DETAILS: Nexus Humans 55321 SQL Server Integration Services 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 55321 SQL Server Integration Services 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 5 Days 30 CPD hours Overview Mining data Manipulating data Visualizing and reporting data Applying basic statistical methods Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. CompTIA Data+ gives you the confidence to bring data analysis to life. As the importance for data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analyzing, and reporting on data can drive priorities and lead business decision-making. 1 - IDENTIFYING BASIC CONCEPTS OF DATA SCHEMAS * Identify Relational and Non-Relational Databases * Understand the Way We Use Tables, Primary Keys, and Normalization 2 - UNDERSTANDING DIFFERENT DATA SYSTEMS * Describe Types of Data Processing and Storage Systems * Explain How Data Changes 3 - UNDERSTANDING TYPES AND CHARACTERISTICS OF DATA * Understand Types of Data * Break Down the Field Data Types 4 - COMPARING AND CONTRASTING DIFFERENT DATA STRUCTURES, FORMATS, AND MARKUP LANGUAGES * Differentiate between Structured Data and Unstructured Data * Recognize Different File Formats * Understand the Different Code Languages Used for Data 5 - EXPLAINING DATA INTEGRATION AND COLLECTION METHODS * Understand the Processes of Extracting, Transforming, and Loading Data * Explain API/Web Scraping and Other Collection Methods * Collect and Use Public and Publicly-Available Data * Use and Collect Survey Data 6 - IDENTIFYING COMMON REASONS FOR CLEANSING AND PROFILING DATA * Learn to Profile Data * Address Redundant, Duplicated, and Unnecessary Data * Work with Missing Value * Address Invalid Data * Convert Data to Meet Specifications 7 - EXECUTING DIFFERENT DATA MANIPULATION TECHNIQUES * Manipulate Field Data and Create Variables * Transpose and Append Data * Query Data 8 - EXPLAINING COMMON TECHNIQUES FOR DATA MANIPULATION AND OPTIMIZATION * Use Functions to Manipulate Data * Use Common Techniques for Query Optimization 9 - APPLYING DESCRIPTIVE STATISTICAL METHODS * Use Measures of Central Tendency * Use Measures of Dispersion * Use Frequency and Percentages 10 - DESCRIBING KEY ANALYSIS TECHNIQUES * Get Started with Analysis * Recognize Types of Analysis 11 - UNDERSTANDING THE USE OF DIFFERENT STATISTICAL METHODS * Understand the Importance of Statistical Tests * Break Down the Hypothesis Test * Understand Tests and Methods to Determine Relationships Between Variables 12 - USING THE APPROPRIATE TYPE OF VISUALIZATION * Use Basic Visuals * Build Advanced Visuals * Build Maps with Geographical Data * Use Visuals to Tell a Story 13 - EXPRESSING BUSINESS REQUIREMENTS IN A REPORT FORMAT * Consider Audience Needs When Developing a Report * Describe Data Source Considerations For Reporting * Describe Considerations for Delivering Reports and Dashboards * Develop Reports or Dashboards * Understand Ways to Sort and Filter Data 14 - DESIGNING COMPONENTS FOR REPORTS AND DASHBOARDS * Design Elements for Reports and Dashboards * Utilize Standard Elements * Creating a Narrative and Other Written Elements * Understand Deployment Considerations 15 - UNDERSTAND DEPLOYMENT CONSIDERATIONS * Understand How Updates and Timing Affect Reporting * Differentiate Between Types of Reports 16 - SUMMARIZING THE IMPORTANCE OF DATA GOVERNANCE * Define Data Governance * Understand Access Requirements and Policies * Understand Security Requirements * Understand Entity Relationship Requirements 17 - APPLYING QUALITY CONTROL TO DATA * Describe Characteristics, Rules, and Metrics of Data Quality * Identify Reasons to Quality Check Data and Methods of Data Validation 18 - EXPLAINING MASTER DATA MANAGEMENT CONCEPTS * Explain the Basics of Master Data Management * Describe Master Data Management Processes ADDITIONAL COURSE DETAILS: Nexus Humans CompTIA Data Plus (DA0-001) 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 CompTIA Data Plus (DA0-001) 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.

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.

The goal of this course is to teach you the fundamentals of Alteryx and teach you a more efficient way to clean and prepare your data. You'll learn to work with data in new ways other than Tableau and PowerBI, using Alteryx for all your data analysis needs.

OVERVIEW This official Microsoft Power BI training course will teach you how to connect to data from many sources, clean and transform it using Power Query, create a data model consisting of multiple tables connected with relationships and build visualisations and reports to show the patterns in the data. The course will explore formulas created using the DAX language, including the use of advanced date intelligence calculations. Additional visualisation features including interactivity between the elements of a report page are covered as well as parameters and row-level security, which allows a report to be tailored according to who is viewing it. The course will also show how to publish reports and dashboards to a workspace on the Power BI Service. COURSE BENEFITS: * Learn how to clean, transform, and load data from many sources * Use database queries in Power Query to combine tables using append and merge * Create and manage a data model in Power BI consisting of multiple tables connected with relationships * Build Measures and other calculations in the DAX language to plot in reports * Manage advanced time calculations using date tables * Optimise report calculations using the Performance Analyzer * Manage and share report assets to the Power BI Service * Prepare for the official Microsoft PL-300 exam using Microsoft Official Courseware WHO IS THE COURSE FOR? * Data Analysts with little or no experience of Power BI who wish to upgrade their knowledge to include Business Intelligence * Management Consultants who need to conduct rapid analysis of their clients’ data to answer specific business questions * Analysts who need to upgrade their organisation from a simple Excel or SQL-based management reporting system to a dynamic BI system * Data Analysts who wish to develop organisation-wide reporting in the form of web reports or phone apps * Marketers in data-intensive organisations who wish to build visually appealing, dynamic charts for their stakeholders to use COURSE OUTLINE Module 1 Getting Started With Microsoft Data Analytics * Data analytics and Microsoft * Getting Started with Power BI Module 2 Get Data In Power BI * Get data from various data sources * Optimize performance * Resolve data errors Lab: Prepare Data in Power BI Desktop Module 3 Clean, Transform And Load Data In Power BI * Data shaping * Data profiling * Enhance the data structure Lab: Load Data in Power BI Desktop Module 4 Design A Data Model In Power BI * Introduction to data modelling * Working with Tables * Dimensions and Hierarchies Lab: Model Data in Power BI Desktop Module 5 Create Model Calculations Using DAX In Power BI * Introduction to DAX * Real-time Dashboards * Advanced DAX Lab 1: Create DAX Calculations in Power BI Desktop, Part 1 Lab 2: Create DAX Calculations in Power BI Desktop, Part 2 Module 6 Optimize Model Performance * Optimize the data model for performance * Optimize DirectQuery models Module 7 Create Reports * Design a Report * Enhance the Report Lab 1: Design a Report in Power BI Desktop, Part 1 Lab 2: Design a Report in Power BI Desktop, Part 2 Module 8 Create Dashboards * Create a Dashboard * Real-time Dashboards * Enhance a Dashboard Lab: Create a Power BI Dashboard Module 9 Perform Advanced Analytics * Advanced analytics * Data Insights through AI Visuals Lab: Perform Data Analysis in Power BI Desktop Module 10 Create And Manage Workspaces * Creating Workspaces * Sharing and managing assets Module 11 Manage Datasets In Power BI * Parameters * Datasets Module 12 Row-Level Security * Security in Power BI Lab: Enforce Row-Level Security

OVERVIEW Business intelligence analysis plays a significant role in determining the success and failure of the business. Hence, skilled analysts are high-value employees in the business sector. If you want to be one of them, start working on your skills. Our exclusive Business Intelligence Analysis Training can help you out with your skill-building In this comprehensive training program, you will get a detailed understanding of business intelligence analysis. The course will educate you on the principles of real-time business analysis, SQL and data management. From the engaging modules, you will learn about statistics and data science.  The course will also teach you the strategies of data visualisation and sat warehouse concepts. By the end of the course, you will also grasp the ABCs of Python programming language. This is the perfect skill and career booster. Join now and open new doors or possibilities! COURSE PREVIEW LEARNING OUTCOMES * Understand the core principles of real-time business intelligence  * Grasp a solid understanding of statistics and data science  * Build your expertise in SQL and database management  * Develop your skills in data visualisation in business intelligence * Introduce yourself to the basics of Python WHY TAKE THIS COURSE FROM JOHN ACADEMY? * Affordable, well-structured and high-quality e-learning study materials * Meticulously crafted engaging and informative tutorial videos and materials * Efficient exam systems for the assessment and instant result * Earn UK & internationally recognised accredited qualification * Easily access the course content on mobile, tablet, or desktop from anywhere, anytime * Excellent career advancement opportunities * Get 24/7 student support via email WHAT SKILLS WILL YOU LEARN FROM THIS COURSE? * Data management  * Business intelligence analysis * Statistics WHO SHOULD TAKE THIS BUSINESS INTELLIGENCE ANALYSIS TRAINING? Whether you're an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge. ARE THERE ANY ENTRY REQUIREMENTS? This Business Intelligence Analysis Training is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful. BUSINESS INTELLIGENCE ANALYSIS TRAINING CERTIFICATION After completing and passing the Business Intelligence Analysis Training successfully, you will be able to obtain a Recognised Certificate of Achievement. Learners can obtain the certificate in hard copy at £14.99 or PDF format at £11.99. CAREER PATH€‹ This exclusive Business Intelligence Analysis Training will equip you with effective skills and abilities and help you explore career paths such as  * Business Intelligence Analyst * Business Executive  * Entrepreneur Module-1: An Introduction To Business Intelligence An Introduction to Business Intelligence 00:45:00 Module-2: Real-Time Business Intelligence Real-time Business Intelligence 00:34:00 Module-3: Fundamentals Of Statistics And Data Science Fundamentals of Statistics and Data Science 00:49:00 Module-4: Fundamentals Of SQL Fundamentals of SQL 00:39:00 Module-5: Database Management Essentials Database Management Essentials 00:49:00 Module-6: Data Warehouse Concepts Data Warehouse Concepts 00:37:00 Module-7: Data Visualisation In Business Intelligence Data Visualisation in Business Intelligence 00:34:00 Module-8: Basics Of Python Basics of Python 00:26:00 Assignment Assignment - Business Intelligence Analyst 00:00:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

This course is designed for beginners who want to learn how to use Tableau Prep Builder for data preparation and data cleaning. We will start from scratch; no specific knowledge is required; you should only be familiar with Tableau.

The Business Intelligence Analyst Course aligns with current industry trends and market needs, addressing emerging opportunities and challenges in data-driven decision-making. As businesses increasingly rely on data for strategic planning, this course provides the foundational knowledge and skills required to interpret and leverage data effectively. It prepares learners to meet the growing demand for data analysis and interpretation in various sectors. The primary problem this course addresses is the gap in practical, accessible knowledge for analysing and interpreting business data. By bridging this gap, the course enables learners to transform raw data into meaningful insights. This ability is crucial for driving business growth, improving operational efficiency, and enhancing strategic decision-making processes across industries. In today's data-centric business environment, possessing skills in business intelligence and data analysis is not just advantageous but essential. This course equips learners with the knowledge to analyse data accurately, leading to informed decision-making and competitive advantage in various business contexts. Learning Outcomes * Understand the basics and importance of Business Intelligence in modern business. * Grasp real-time applications of Business Intelligence in industry scenarios. * Learn statistical and data science fundamentals crucial for analysis. * Gain proficiency in SQL for effective data management and querying. * Master essential aspects of database management and operations. * Explore data warehouse concepts and their relevance in data storage. * Develop skills in data visualisation techniques for business insights. * Acquire basic Python knowledge for data analysis applications. WHY CHOOSE THIS BUSINESS INTELLIGENCE ANALYST COURSE? 1. Unlimited access to the course for a lifetime. 2. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. 3. Structured lesson planning in line with industry standards. 4. Immerse yourself in innovative and captivating course materials and activities. 5. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. 6. Flexibility to complete the Course at your own pace, on your own schedule. 7. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. 8. Unlock career resources for CV improvement, interview readiness, and job success. WHO IS THIS BUSINESS INTELLIGENCE ANALYST COURSE FOR? * Individuals aspiring to become Business Intelligence Analysts. * Professionals seeking to enhance their data analysis skills. * Entrepreneurs needing to understand data for better business decisions. * Managers and team leaders requiring data-driven decision-making abilities. * Anyone interested in pursuing a career in data analysis and business intelligence. CAREER PATH * Business Intelligence Analyst: £30,000 - £50,000 * Data Analyst: £27,000 - £40,000 * Database Administrator: £30,000 - £45,000 * Data Scientist: £35,000 - £60,000 * Business Analyst: £32,000 - £52,000 PREREQUISITES This Business Intelligence Analyst Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This 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. 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 Module-1: An Introduction to Business Intelligence An Introduction to Business Intelligence 00:46:00 Module-2: Real-time Business Intelligence Real-time Business Intelligence 00:35:00 Module-3: Fundamentals of Statistics and Data Science Fundamentals of Statistics and Data Science 00:50:00 Module-4: Fundamentals of SQL Fundamentals of SQL 00:40:00 Module-5: Database Management Essentials Database Management Essentials 00:50:00 Module-6: Data Warehouse Concepts Data Warehouse Concepts 00:38:00 Module-7: Data Visualisation in Business Intelligence Data Visualisation in Business Intelligence 00:35:00 Module-8: Basics of Python Basics of Python 00:27:00

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

OVERVIEW This comprehensive course on Business Intelligence Analyst Course 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 Analyst Course comes with accredited certification from CPD, 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 Analyst Course. It is available to all students, of all academic backgrounds. REQUIREMENTS Our Business Intelligence Analyst Course 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- * Open doors of opportunities * Increase your adaptability * Keep you relevant * Boost confidence And much more! COURSE CURRICULUM 8 sections • 8 lectures • 05:21:00 total length •An Introduction to Business Intelligence: 00:46:00 •Real-time Business Intelligence: 00:35:00 •Fundamentals of Statistics and Data Science: 00:50:00 •Fundamentals of SQL: 00:40:00 •Database Management Essentials: 00:50:00 •Data Warehouse Concepts: 00:38:00 •Data Visualisation in Business Intelligence: 00:35:00 •Basics of Python: 00:27:00