400 Business Intelligence (BI) courses

Duration 3 Days 18 CPD hours This course is intended for This course is intended for information workers and data science professionals who seek to use database reporting and analysis tools such as Microsoft SQL Server Reporting Services, Excel, Power BI, R, SAS and other business intelligence tools, and wish to use TSQL queries to efficiently retrieve data sets from Microsoft SQL Server relational databases for use with these tools. Overview After completing this course, students will be able to: - Identify independent and dependent variables and measurement levels in their own analytical work scenarios. - Identify variables of interest in relational database tables. - Choose a data aggregation level and data set design appropriate for the intended analysis and tool. - Use TSQL SELECT queries to produce ready-to-use data sets for analysis in tools such as PowerBI, SQL Server Reporting Services, Excel, R, SAS, SPSS, and others. - Create stored procedures, views, and functions to modularize data retrieval code. This course is about writing TSQL queries for the purpose of database reporting, analysis, and business intelligence. 1 - INTRODUCTION TO TSQL FOR BUSINESS INTELLIGENCE Two Approaches to SQL Programming TSQL Data Retrieval in an Analytics / Business Intelligence Environment The Database Engine SQL Server Management Studio and the CarDeal Sample Database Identifying Variables in Tables SQL is a Declarative Language Introduction to the SELECT Query Lab 1: Introduction to TSQL for Business Intelligence 2 - TURNING TABLE COLUMNS INTO VARIABLES FOR ANALYSIS: SELECT LIST EXPRESSIONS, WHERE, AND ORDER BY Turning Columns into Variables for Analysis Column Expressions, Data Types, and Built-in Functions Column aliases Data type conversions Built-in Scalar Functions Table Aliases The WHERE clause ORDER BY Lab 1: Write queries 3 - COMBINING COLUMNS FROM MULTIPLE TABLES INTO A SINGLE DATASET: THE JOIN OPERATORS Primary Keys, Foreign Keys, and Joins Understanding Joins, Part 1: CROSS JOIN and the Full Cartesian Product Understanding Joins, Part 2: The INNER JOIN Understanding Joins, Part 3: The OUTER JOINS Understanding Joins, Part 4: Joining more than two tables Understanding Joins, Part 5: Combining INNER and OUTER JOINs Combining JOIN Operations with WHERE and ORDER BY Lab 1: Write SELECT queries 4 - CREATING AN APPROPRIATE AGGREGATION LEVEL USING GROUP BY Identifying required aggregation level and granularity Aggregate Functions GROUP BY HAVING Order of operations in SELECT queries Lab 1: Write queries 5 - SUBQUERIES, DERIVED TABLES AND COMMON TABLE EXPRESSIONS Non-correlated and correlated subqueries Derived tables Common table expressions Lab 1: Write queries 6 - ENCAPSULATING DATA RETRIEVAL LOGIC Views Table-valued functions Stored procedures Creating objects for read-access users Creating database accounts for analytical client tools Lab 1: Encapsulating Data Retrieval Logic 7 - GETTING YOUR DATASET TO THE CLIENT Connecting to SQL Server and Submitting Queries from Client Tools Connecting and running SELECT queries from: Excel PowerBI RStudio Exporting datasets to files using Results pane from SSMS The bcp utility The Import/Export Wizard Lab 1: Getting Your Dataset to the Client Additional course details: Nexus Humans 55232 Writing Analytical Queries for Business Intelligence 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 55232 Writing Analytical Queries for Business Intelligence 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 This course is intended for This course is intended for novice database developers, database administrators, Business Intelligence developers, report creators, and application developers who have an understanding of relational database concepts and have basic Windows navigation skills. Overview Create single table SELECT queries Create multiple table SELECT queries Filter and sort data Insert, update, and delete data Query data using built-in functions Create queries that aggregate data Create subqueries Create queries that use table expressions Use UNION, INTERSECT, and EXCEPT on multiple sets of data Implement window functions in queries Use PIVOT and GROUPING SETS in queries Use stored procedures in queries Add error handling to queries Use transactions in queries This five-day instructor-led course is intended for IT professionals who wish to use the Transact-SQL language to query and configure Microsoft SQL Server. Students are typically database developers and database administrators, but might also be Business Intelligence developers, report creators, or application developers. In this course, students learn how to query single tables, join data from multiple tables, filter and sort data, modify data, use procedures and functions, and implement error handling. Prerequisites Basic understanding of relational databases. Basic Windows knowledge. Module 1: Introduction to Transact-SQL What is Transact-SQL The SELECT statement The WHERE clause Sorting results Calculations CASE expressions Module 2: Joining tables with Transact-SQL The JOIN clause Inner joins Outer joins Self joins and cross joins Module 3: Filtering and sorting results Implement the ORDER BY clause Filter data with the WHERE clause Limit the number of rows returned by a query Implement NULL logic Module 4: SQL Server data types Understand data types Implement string data types Implement temporal data types Module 5: Inserting, updating and deleting data Insert new records Update existing records Delete data Module 6: Using SQL Server functions with Transact-SQL Understand function types in SQL Server Convert data using functions Implement logical functions Work with NULL data using functions Module 7: Aggregating data with Transact-SQL Implement aggregation in SQL Server Group records in SQL Server Filter aggregated data Module 8: Implement subqueries with Transact-SQL Implement scalar and multi-valued sub-queries Implement correlated subqueries Implement existence checks with subqueries Module 9: Create queries that use table expressions Create views Create table-valued functions Implement derived tables Implement common table expressions Module 10: Use UNION, INTERSECT, EXCEPT and APPLY on multiple sets of data Write queries with the UNION operator Write queries with the INTERSECT and EXCEPT operators Write queries with the APPLY operator Module 11: Implement window functions in queries Understand window functions Impement window functions Module 12: Use PIVOT and grouping sets in queries Implement PIVOT in queries Implement grouping sets in queries Module 13: Use stored procedures in queries Query data with stored procedures Interact with stored procedures using input and output parameters Write simple stored procedures Pass dynamic SQL to SQL Server Module 14: Implement programming features in Transact-SQL Understand T-SQL programming elements Implement loops and conditions in T-SQL queries Module 15: Add error handling to queries Understand SQL Server error handling Implemet structured exception handling Module 16: Use transactions in queries Understand database transactions Implement transactions in T-SQL

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure. In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage. Prerequisites Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions. AZ-900T00 Microsoft Azure Fundamentals DP-900T00 Microsoft Azure Data Fundamentals 1 - Introduction to data engineering on Azure What is data engineering Important data engineering concepts Data engineering in Microsoft Azure 2 - Introduction to Azure Data Lake Storage Gen2 Understand Azure Data Lake Storage Gen2 Enable Azure Data Lake Storage Gen2 in Azure Storage Compare Azure Data Lake Store to Azure Blob storage Understand the stages for processing big data Use Azure Data Lake Storage Gen2 in data analytics workloads 3 - Introduction to Azure Synapse Analytics What is Azure Synapse Analytics How Azure Synapse Analytics works When to use Azure Synapse Analytics 4 - Use Azure Synapse serverless SQL pool to query files in a data lake Understand Azure Synapse serverless SQL pool capabilities and use cases Query files using a serverless SQL pool Create external database objects 5 - Use Azure Synapse serverless SQL pools to transform data in a data lake Transform data files with the CREATE EXTERNAL TABLE AS SELECT statement Encapsulate data transformations in a stored procedure Include a data transformation stored procedure in a pipeline 6 - Create a lake database in Azure Synapse Analytics Understand lake database concepts Explore database templates Create a lake database Use a lake database 7 - Analyze data with Apache Spark in Azure Synapse Analytics Get to know Apache Spark Use Spark in Azure Synapse Analytics Analyze data with Spark Visualize data with Spark 8 - Transform data with Spark in Azure Synapse Analytics Modify and save dataframes Partition data files Transform data with SQL 9 - Use Delta Lake in Azure Synapse Analytics Understand Delta Lake Create Delta Lake tables Create catalog tables Use Delta Lake with streaming data Use Delta Lake in a SQL pool 10 - Analyze data in a relational data warehouse Design a data warehouse schema Create data warehouse tables Load data warehouse tables Query a data warehouse 11 - Load data into a relational data warehouse Load staging tables Load dimension tables Load time dimension tables Load slowly changing dimensions Load fact tables Perform post load optimization 12 - Build a data pipeline in Azure Synapse Analytics Understand pipelines in Azure Synapse Analytics Create a pipeline in Azure Synapse Studio Define data flows Run a pipeline 13 - Use Spark Notebooks in an Azure Synapse Pipeline Understand Synapse Notebooks and Pipelines Use a Synapse notebook activity in a pipeline Use parameters in a notebook 14 - Plan hybrid transactional and analytical processing using Azure Synapse Analytics Understand hybrid transactional and analytical processing patterns Describe Azure Synapse Link 15 - Implement Azure Synapse Link with Azure Cosmos DB Enable Cosmos DB account to use Azure Synapse Link Create an analytical store enabled container Create a linked service for Cosmos DB Query Cosmos DB data with Spark Query Cosmos DB with Synapse SQL 16 - Implement Azure Synapse Link for SQL What is Azure Synapse Link for SQL? Configure Azure Synapse Link for Azure SQL Database Configure Azure Synapse Link for SQL Server 2022 17 - Get started with Azure Stream Analytics Understand data streams Understand event processing Understand window functions 18 - Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics Stream ingestion scenarios Configure inputs and outputs Define a query to select, filter, and aggregate data Run a job to ingest data 19 - Visualize real-time data with Azure Stream Analytics and Power BI Use a Power BI output in Azure Stream Analytics Create a query for real-time visualization Create real-time data visualizations in Power BI 20 - Introduction to Microsoft Purview What is Microsoft Purview? How Microsoft Purview works When to use Microsoft Purview 21 - Integrate Microsoft Purview and Azure Synapse Analytics Catalog Azure Synapse Analytics data assets in Microsoft Purview Connect Microsoft Purview to an Azure Synapse Analytics workspace Search a Purview catalog in Synapse Studio Track data lineage in pipelines 22 - Explore Azure Databricks Get started with Azure Databricks Identify Azure Databricks workloads Understand key concepts 23 - Use Apache Spark in Azure Databricks Get to know Spark Create a Spark cluster Use Spark in notebooks Use Spark to work with data files Visualize data 24 - Run Azure Databricks Notebooks with Azure Data Factory Understand Azure Databricks notebooks and pipelines Create a linked service for Azure Databricks Use a Notebook activity in a pipeline Use parameters in a notebook Additional course details: Nexus Humans DP-203T00 Data Engineering on Microsoft Azure 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 DP-203T00 Data Engineering on Microsoft Azure 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.

"Start your career as a Business Intelligence Analyst and earn up to £70,000 per Year." Looking to capitalise on the 27% surge in demand for Data and Business Intelligence Analysts in the UK? Our 'Data and Business Intelligence Analyst Job Ready Program' packs 5 powerful courses into one complete package, guaranteeing real-world job readiness. With comprehensive career support and a money-back promise, your success isn't just anticipated - it's assured! Our mission is simple - to be your trusted partner every step of the way, from training to employment. In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data and Business Intelligence Analysts, so we can help you get your foot in the door. If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data and Business Intelligence Analyst Job Ready Program today and start your journey to becoming a successful Data and Business Intelligence Analyst! If you have any questions, you can contact us. We will be happy to provide you with all the information you need. Learning Outcomes: Master the art of transforming raw data into meaningful insights. Gain proficiency in industry-standard BI and data analysis tools. Develop strong SQL, Python, and data visualisation skills. Understand predictive analytics and machine learning concepts. Learn to create interactive dashboards and reports. Hone critical thinking for effective data-driven decision-making. Gain hands-on experience through real-world projects. Achieve competency in data governance and management best practices. Here are the courses we will provide once you enrol in the program: Course 01: Business Intelligence Analyst Course Course 02: Business Intelligence and Data Mining Course 03: Raising Money & Valuations Course 04: Uniform System of Accounting for Lodging Industries Part 1 Course 05: Business Performance Management Course 06: Business Studies Course 07: Advanced Excel Analytics Course 08: Data Science & Machine Learning with R Course 09: Quick Data Science Approach from Scratch Course 10: SQL for Data Science, Data Analytics and Data Visualization Course 11: Python Data Science with Numpy, Pandas and Matplotlib Course 12: Complete Python Machine Learning & Data Science Fundamentals Course 13: Set Menu Prices for your restaurant using data Course 14: Data Analysis In Excel Course 15: Reporting and Data Course 16: Excel Pivot Tables for Data Reporting How Can We Offer Job Guarantees? HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector. The Data and Business Intelligence AnalystJob Ready Program is completed in 9 easy steps: Step 1: Enrol in the Programme Begin your exciting journey with us by enrolling in the Data and Business Intelligence Analyst Job Ready Program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied. After you enrol in the Program, you will get lifetime access to 6 premium courses related to Web Development. These courses will teach you the knowledge and skills required to become a successful Data and Business Intelligence Analyst. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing! Step 2: Initial One-On-One Counselling Session Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path. Step 3: Certification upon Course Completion After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject. Step 4: CV Revamping Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the finance industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. Step 5: Building Network and Submitting CV We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile. Step 6: Interview Preparation With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills. Step 7: Securing Job Interviews Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want. Step 8: Post-Interview Support Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job. Step 9: Celebrate Your New Job! Once you've secured your dream job in web development, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role. We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful Data and Business Intelligence Analyst career begins with us. CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Data and Business Intelligence Analyst Job Ready Program is ideal for: Aspiring Data and Business Intelligence Analyst seeking comprehensive training and industry-specific career guidance. Individuals looking to transition into a data-based role and require personalised mentorship. Graduates wanting to enhance their employability with tailored CV building and interview preparation. Career changers looking for an all-in-one solution to securing a job in the finance industry. Data Analysis enthusiasts desiring to leverage industry connections for job opportunities in business development. Career path Junior Data Analyst: £26,000 - £35,000 Data Analyst: £35,000 - £50,000 Senior Data Analyst: £50,000 - £70,000 Business Intelligence Analyst: £40,000 - £60,000 Senior Business Intelligence Analyst: £60,000 - £80,000 Data Scientist: £70,000 - £100,000 Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included QLS Endorsed Hard Copy Certificate Hard copy certificate - Included Student ID Card Digital certificate - Included

24 Hours Left! Don't Let Year-End Deals Slip Away - Enrol Now! Are you tired of being stuck in a job that doesn't pay you what you're worth? Are you ready to take your career to the next level? As a Business Intelligence Analyst, you can earn an average salary of £30,000 to £60,000 per year in the UK. Our Business Intelligence Analyst bundle is designed to equip you with the skills and knowledge you need to succeed in this lucrative field. The bundle includes a QLS-endorsed course, which comes with a free hardcopy certificate, as well as ten additional courses that are CPD-QS accredited. With our training, you'll learn everything from business data analysis to strategic business planning, financial analysis to investment, and marketing to research methods in business. By the end of the bundle, you'll have a comprehensive understanding of the business intelligence and data analysis industry, giving you a competitive edge in the job market. Don't let another year go by without reaching your full potential. Invest in your future with our Business Intelligence Analyst bundle and start earning the salary you deserve. Enrol now and take the first step towards your dream career! 10 Premium Additional CPD QS Accredited Courses - Course 01: Business Data Analysis Course 02: Business Intelligence and Data Mining Diploma Course 03: Research Methods in Business Course 04: Business Analyst: Project Management Techniques Course 05: Strategic Business Planning Course 06: Make Business Plans: Forecasting and Budgeting Course 07: Online Financial Modelling Training Course 08: Financial Analysis Course Course 09: Investment Course 10: Marketing Course Why Prefer This Business Intelligence Analyst Bundle? You will receive a completely free certificate from the Quality Licence Scheme Option to purchase 10 additional certificates accredited by CPD Get a free Student ID Card - (£10 postal charges will be applicable for international delivery) Free assessments and immediate success results 24/7 Tutor Support Module-01: An Introduction to Business Intelligence Module-02: Real-time Business Intelligence Module-03: Fundamentals of Statistics and Data Science Module-04: Fundamentals of SQL Module-05: Database Management Essentials Module-06: Data Warehouse Concepts Module-07: Data Visualisation in Business Intelligence Module-08: Basics of Python How is the Business Intelligence AnalystBundle Assessment Process? You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you successfully pass the exams. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Professionals looking to enhance their skills in business intelligence and data analysis. Individuals interested in a career as a Business Intelligence Analyst. Graduates looking to enter the business intelligence and data analysis industry Career path Our courses will prepare you for a range of careers, including: Junior Business Intelligence Analyst: £25,000 to £35,000 per year Business Intelligence Analyst: £40,000 to £60,000 per year Financial Analyst: £30,000 to £60,000 per year Certificates CPD QS Accredited Certificate Digital certificate - Included Upon successfully completing the Bundle, you will need to place an order to receive a PDF Certificate for each course within the bundle. These certificates serve as proof of your newly acquired skills, accredited by CPD QS. Also, the certificates are recognised throughout the UK and internationally. CPD QS Accredited Certificate Hard copy certificate - Included International students are subject to a £10 delivery fee for their orders, based on their location. Diploma in Business Intelligence Analyst at QLS Level 5 Hard copy certificate - Included

24-Hour Flash Sale! Prices Reduced Like Never Before!! Did you know, according to UK statistics, businesses that leverage business intelligence practises are five times more likely to make swifter, more informed decisions? In the UK, recent industry reports suggest a surging demand for business intelligence skills, with a reported 21% increase in job postings over the last two years, underscoring the critical need for proficiency in this field. This Business Intelligence Analyst bundle is an essential set of courses for anyone looking to excel in the sphere of data-driven decision-making. Our Business Intelligence Analyst bundle starts with foundational knowledge in Business Analysis and progresses through to more advanced concepts, including Financial Modelling and Disruptive Innovation. With Business Intelligence Analyst courses that offer insight into Business Intelligence andData Mining, participants will gain an intimate understanding of how to transform raw data into actionable business insights. Courses are Included in This Business Intelligence Analyst Bundle: Course 01: Business Intelligence Analyst Course Course 02: Business Development Course 03: Strategic Business Management - Online Diploma Course Course 04: Business Performance Management Course 05: Business Intelligence and Data Mining Course 06: Research Methods in Business Course 07: International Business Principles Course 08: Financial Modelling for Decision-Making and Business Plan Course 09: Disruptive Innovation for Business Course 10: Business Plan for Entrepreneurs Course 11: Business Management and Finance Course Course 12: Capital Budgeting & Investment Decision Rules Course 13: Making Budget & Forecast Course 14: Branding Fundamentals for New Business Course 15: SAP Controlling (CO) - Product Costing S4HANA Course 16: SAP S4HANA Controlling - Cost Centre Accounting Course 17: Certificate in Purchasing and Procurement Course 18: Financial Analysis: Finance Reports Course 19: Financial Ratio Analysis for Business Decisions Course 20: Google Data Studio: Data Analytics Transform your career trajectory with high-level training that positions you at the forefront of business innovation and strategy. This course bundle is your gateway to becoming a pivotal asset in any organisation, equipped to handle complex challenges and capitalise on new opportunities. Don't just compete-lead! Enrol today to step into the role of a visionary business leader ready to drive success! Learning Outcomes of Business Intelligence Analyst Bundle: Develop an understanding of fundamental business analysis and strategic management concepts. Learn to apply business intelligence tools for effective data mining and performance management. Gain skills in financial modelling for strategic decision-making and business planning. Understand the principles of international business and global market analysis. Acquire knowledge in research methods applicable to real-world business challenges. Master the process of crafting a comprehensive business plan as an entrepreneur. With our Business Intelligence Analyst exclusive bundle, you will get a PDF Certificate, PDF Transcript and Digital Student ID Card (worth £180) Absolutely FREE. Why Prefer this Course? Get a Free CPD Accredited Certificate upon completion of the course Get a Free Student ID Card with this training program (£10 postal charge will be applicable for international delivery) The course is Affordable and Simple to understand Get Lifetime Access to the course materials The training program comes with 24/7 Tutor Support Start your learning journey straight away! Course Curriculum Course 01: Business Intelligence Analyst Course Module 01: Introduction to Business Analysis Module 02: Business Environment Module 03: Business Processes Module 04: Business Analysis Planning and Monitoring Module 05: Strategic Analysis and Product Scope Module 06: Solution Evaluation Module 07: Investigation Techniques Module 08: Ratio Analysis Module 09: Stakeholder Analysis and Management Module 10: Process Improvement with Gap Analysis Module 11: Documenting and Managing Requirements Module 12: Business Development and Succession Planning Module 13: Planning & Forecasting Operations Module 14: Business Writing Skills Course 02: Business Development Module 01: Business Development and Succession Planning Module 02: Process Management Module 03: Supply Chain Management Module 04: Planning & Forecasting Operations Module 05: Procurement & Purchasing Management Module 06: Project Management Module 07: Retail Pricing Module 08: Business Analysis Planning and Monitoring Module 09: Strategic Analysis and Product Scope Module 10: Quality Management Module 11: Management Skills for Leading Your Team Module 12: Selling in Multiple Channels Module 13: Representing Your Boss and Company Module 14: Preparing for Brainstorming Module 15: Generating Solutions Module 16: Analysing Solutions Module 17: Selecting a Solution Module 18: Negotiation Techniques Module 19: Communication Skills Module 20: Skills of an Effective Administrator Module 21: What is Marketing? Module 22: Common Marketing Types Module 23: Conflict Management Module 24: Talent Management Module 25: Managing Risk and Recovery Module 26: Time Management Module 27: Business Etiquette Course 03: Strategic Business Management - Online Diploma Course Module 01: Introduction to Strategic Management Business Module 02: Corporate Governance Module 03: Industry Analysis Module 04: Strategy Formulation Module 05: Strategy Implementation Module 06: Evaluation and Control Module 07: Building a Brand Module 08: Generating Success from the Customer Relationship Module 09: Social Responsibility and Ethics in Strategic Management Module 10: Getting Ready for Business Improvement =========>>>>> And 17 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*20 = £260) CPD Hard Copy Certificate: Free (For The First Course: Previously it was £29.99) CPD 200 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Aspiring business leaders Strategic managers Business analysts Investment advisors Legal consultants Entrepreneurial individuals Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Business Development Manager: £30,000 - £70,000 Strategic Business Manager: £35,000 - £78,000 Business Analyst: £30,000 - £60,000 Investment Advisor: £28,000 - £65,000 Commercial Lawyer: £50,000 - £100,000 Certificates CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. CPD Accredited Hard Copy Certificate Hard copy certificate - Included If you are an international student, then you have to pay an additional 10 GBP for each certificate as an international delivery charge.

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.

Practical MySQL Course Intermediate, to leave you fully conversant with queries, DML and DDL statements. Hands-on, Practical MySQL Course Intermediate. PCWorkshops MySQL Course Intermediate Certificate. Max 4 people per course, we keep it personalised.

Duration 5 Days 30 CPD hours This course is intended for The target audience for this textbook is all Oracle professionals, both business and systems professionals. Among the specific groups for whom this textbook will be helpful are: ? Business and non-IT professionals ? Application designers and database developers ? Business Intelligence (BI) analysts and consumers ? Database administrators ? Web server administrators Overview The first portion of this textbook considers the logical models upon which a relational database is based and the various configurations and environments in which you may work with the Oracle database. The next segment focuses on the actual SQL syntax for writing database queries. You will begin with the simplest of queries and then proceed onto moderately complex query scenarios. Finally, this textbook covers the DDL, DML and transaction control portions of the SQL language that allow one to create, maintain and manipulate application database objects and application data. This textbook takes a unique approach to SQL training in that it incorporates data modeling theory, relational database theory, graphical depictions of theoretical concepts and numerous examples of actual SQL syntax into one learning vehicle. Relational Databases & Data Models About Data Models About the Relational Model The Electronics Data Model About the Relational DBMS Selection & Setup of the Database Interface Considering Available Tools Selecting the Appropriate Tool Oracle Net Database Connections Oracle PAAS Database Connections Setup SQL Developer Setup SQL*Plus Setup Jdeveloper Using the Database Interface About Bind & Substitution Variables Using SQL Developer Using SQL*Plus Introduction to the SQL Language About the SQL Language Characteristics of SQL Introducing SQL Using Select SQL Rules The Select Statement The Select Statement Distinct/Unique Keyword Using Alias Names Restricting Results with the Where Clause About Logical Operators Equality Operator Boolean Operators REGEXP_LIKE() In Operator Sorting Data with the Order By Clause About the Order by Clause Multiple Column Sorts Specify the Sort Sequence About Null Values within Sorts Using Column Aliases Pseudo Columns, Functions & Top-N Queries Rowid Pseudo Column ORA_ROWSCN PSEUDO Column ROWNUM Pseudo Column About the Built-In Functions SYSDATE User & UID SESSIONTIMEZONE Function Using the Dual Table Row Limiting & Top-N Queries FETCH First x Rows Only Clause OFFSET x Rows Clause FETCH?PERCENT Clause The WITH TIES Option Joining Tables About Joins Inner Joins Reflexive Join Non-Key Join Outer Join Using the Set Operators About the Set Operators SQL Set Operator Examples UNION Example INTERECT Example MINUS Example UNION All Summary Functions Using Sub-Queries Finding Data with Sub-Queries Standard Sub-Queries Correlated Sub-Queries The EXISTS Operator Aggregating Data within Groups About Summary Groups Find Groups within the Tables Select Data From the Base Tables Select Groups from the Results Use DDL to Create & Manage Tables Create Table Statement Column Data Types Not Null Default Describe Alter Table Statement Drop Table Statement Table DDL Using SQL Developer Alter User Statement Alter Session Statement NLS_Language NLS_Date Use DML to Manipulate Data The Insert Statement The Delete Statement The Update Statement About Transactions Transaction Rollback Transaction Commit Transaction Savepoint The Set Transaction Statement Set Transaction Read Only Statement Rules Understanding the Data Models The Company Data Model The Electronics Data Model About the SQL-99 Standard SQL-92 & SQL-99 Cross Joins Natural Joins Inner Joins Implicit Inner Join Outer Joins Anti Joins Named Sub-Queries Enhancing Groups with Rollup & Cube Using Rollup The Grouping() Function Using Cube SQL Functions: Character Handling What are the SQL Functions? String Formatting Functions UPPER(), LOWER() Example INITCAP() Example Character Codes Functions CHR((), ASCII() Examples PAD & TRIM Functions RPAD() Example RTRIM() Example TRIM() Example String Manipulation Functions DECODE () Example SUBSTR() Example INSTR() Example TRANSLATE() Example REPLACE() Example String Comparison Functions LEAST() Example Phonetic Search Function SOUNDEX() Example SQL Functions: Numeric Handling About the Numeric Data Functions GREATEST() Example ABS() Example ROUND() Example TRUNC() Example SIGN() Example TO_NUMBER() Example & Data ype Conversions NULL VALUES FUNCTIONS NVL() & NVL2() Function NVL() Example (Character) NVL() Example (Numeric Loss of Data) NVL() Example (Numeric Output) NVL2() Example COALESCE() Function NULLIF() Function SQL Functions: Date Handling Date Formatting Functions TO_CHAR() & TO_DATE() Format Patterns TO_CHAR() Examples TO_DATE() Examples EXTRACT() Example Date Arithmetic Functions MONTHS_BETWEEN() Example ADD_MONTHS() Example LAST_DAY() Example NEXT_DAY() Example TRUNC(), ROUND() Dates Example NEW_ TIME() Example About V$TIMEZONE_NAMES CAST() FUNCTION & TIME ZONES Database Objects: About Database Objects About Database Objects About Schemas Making Object References Database Objects: Relational Views About Relations Views The Create View Statement Why Use Views? Accessing Views with DML Maintaining View Definitions Alter View Drop View DDL Using SQL Developer Database Objects: Indexes About Indexes Create & Drop Index Statements Indexes & Performance Data Dictionary Storage Database Objects: Creating Other Objects About Sequences Referencing NEXTVAL Referencing CURRVAL Within the DEFAULT Clause Alter Sequence & Drop Sequence ALTER SEQUENCE DROP SEQUENCE About Identity Columns CREATE TABLE?GENERATED AS IDENTITY ALTER TABLE?GENERATED AS IDENTITY Start With Limit Value ALTER TABLE...DROP IDENTITY About Synonyms CREATE & DROP SYNONYM Statements CREATE SYNONYM DROP SYNONYM Public Vs Private Synonyms CREATE SCHEMA AUTHORIZATION Database Objects: Object Management Using DDL The RENAME Statement TABLESPACE Placement CREATE TABLE?TABLESPACE The Comment Statement The TRUNCATE TABLE Statement Database Objects: Security About Object Security Grant Object Privileges Revoke Object Privileges Object Privileges & SQL Developer Data Integrity Using Constraints About Constraints NOT NULL Constraint NOT NULL Example CHECK Constraint UNIQUE Constraint PRIMARY KEY Constraint REFERENCES Constraint ON DELETE CASCADE Example ON DELETE SET NULL Example Constraints on Existing Tables Constraints & SQL Developer Managing Constraint Definitions RENAMING & DROPPING Constraints ENABLING & DISABLING Constraints DEFERRED Constraint Enforcement SET CONSTRAINTS Handling Constraint Exceptions Constraints with Views DATA Dictionary Storage The Data Dictionary Structure More About the Data Dictionary OBJECT-SPECIFIC Dictionary Views USER_UPDATABLE_COLUMNS The Dictionary Structure METADATA & SQL Developer Additional course details: Nexus Humans Oracle 12c SQL Fundamentals training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. 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