744 SQL courses

Learn to build a complete Internet of Things solution with Arduino, a SQL Database, and a web server

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 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 three-day instructor-led course is about writing TSQL queries for the purpose of database reporting, analysis, and business intelligence. Specifically, this course presents TSQL within the context of data analysis in other words, making meaning from the data rather than transaction-oriented data-tier application development. The course starts with a brief discussion of levels of measurement and quantitative research methodogy, and integrates these concepts into each TSQL topic presented. The goal is to provide a consistent, direct, and purposeful learning path from RDBMS data retrieval through analytical tools such as SQL Server Reporting Services, PowerBI, Excel, R, SAS, and SPSS. Module 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 Module 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 Module 3: Combining Columns from Multiple Tables into a Single Dataset: The JOIN Operators Primary Keys, Foreign Keys, and Joins Understanding Joins, Part 1: CROSSJOIN and the Full Cartesian Product Understanding Joins, Part 2: The INNERJOIN Understanding Joins, Part 3: The OUTERJOINS Understanding Joins, Part 4: Joining more than two tables Understanding Joins, Part 5: Combining INNER and OUTERJOINs Combining JOIN Operations with WHERE and ORDER BY Module 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 Module 5: Subqueries, Derived Tables and Common Table Expressions Non-correlated and correlated subqueries Derived tables Common table expressions Module 6: Encapsulating Data Retrieval Logic Views Table-valued functions Stored procedures Creating objects for read-access users Creating database accounts for analytical client tools Module 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 Additional course details: Nexus Humans 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 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 3 Days 18 CPD hours This course is intended for This course is intended for IT professionals who are experienced in general Windows Server and Windows Client administration. Students should have a foundational knowledge of Windows PowerShell, which they can obtain by taking course 10961C: Automating Administration with Windows PowerShell. In addition, this course provides scripting guidance for Microsoft Azure administrators and developers who support development environments and deployment processes. Overview After completing this course, you will be able to: Create advanced functions. Use Microsoft .NET Framework and REST API in Windows PowerShell. Handle script errors. Use XML, JSON, and custom formatted data. Manage Microsoft Azure resources Analyze and debug scripts Understand Windows PowerShell workflow. This course teaches students how to automate administrative tasks using PowerShell. Students will learn crucial scripting skills such as creating advanced functions, writing controller scripts, and handling script errors. Candidates will learn how to use PowerShell when working with Microsoft Azure, SQL Server, Active Directory, IIS, Windows PowerShell Workflow, .NET resources, the REST API and XML, CSV & JSON formatted data files.This course replaces retired Microsoft course 10962. Module 1: Creating advanced functions Lesson 1: Converting a command into an advanced function Lesson 2: Creating a script module Lesson 3: Defining parameter attributes and input validation Lesson 4: Writing functions that accept pipeline input Lesson 5: Producing complex pipeline output Lesson 6: Using comment-based Help Lesson 7: Using Whatif and Confirm parameters Module 2: Using Microsoft .NET Framework and REST API in Windows PowerShell Lesson 1: Using .NET Framework in PowerShell Lesson 2: Using REST API in PowerShell Module 3: Writing controller scripts Lesson 1: Understanding controller scripts Lesson 2: Writing controller scripts with a user interface Lesson 3: Writing controller scripts that create reports Module 4: Handling script errors Lesson 1: Understanding error handling Lesson 2: Handling errors in a script Module 5: Using XML, JSON, and custom-formatted data Lesson 1: Working with XML formatted data Lesson 2: Working with JSON formatted data Lesson 3: Working with custom-formatted data Module 6: Enhancing server management with Desired State Configuration and Just Enough Administration Lesson 1: Implementing Desired State Configuration Lesson 2: Implementing Just Enough Administration Module 7: Analyzing and debugging scripts Lesson 1: Debugging in Windows PowerShell Lesson 2: Analyzing and debugging an existing script Module 8: Understanding Windows PowerShell Workflow Lesson 1: Understanding Windows PowerShell Workflows Lesson 2: Running Windows PowerShell Workflows

Unleash the Power of Data with the Microsoft Office Specialist Excel Certification for Data Analysis Bundle! In today's data-driven world, employers are increasingly seeking professionals with strong Microsoft Office skills. According to a recent survey by the UK IT Institute, 85% of employers believe that Microsoft Office skills are essential for success in the workplace. From deciphering complex spreadsheets to crafting automated dashboards, this Microsoft Office Specialist Excel Certification bundle is your voyage into the heart of data analytics, guided by the expertise of Microsoft Office. This Microsoft Office Specialist Excel Certification for Data Analysis (Data Analytics) Bundle Contains 18 of Our Premium Courses for One Discounted Price: Course 01: Diploma in Complete Excel Course for All at QLS Level 5 Course 02: Diploma in Microsoft Access Power Pack & Workbooks at QLS Level 5 Course 03: Complete Microsoft Word Course 04: Microsoft Excel Complete Course Course 05: Microsoft Powerpoint Course 06: The Ultimate Microsoft Teams Complete Training Bundle (2020) Course 07: Microsoft Access Power Pack & Workbooks Course 08: Microsoft Excel Training: Depriciation Accounting Course 09: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query Course 10: Ultimate Microsoft Excel For Business Bootcamp Course 11: Touch Typing Masterclass Course 12: Data Entry Administrator Training Course 13: Excel Data Analysis Course 14: SQL Masterclass: SQL For Data Analytics Course 15: Understanding Data Protection and Data Security Course 16: Information Management Course 17: Craft Excel Pivot Tables for Data Reporting Course 18: Business Data Analysis Whether you're looking to start a new career in data analysis or advance your current position, this Microsoft Office Specialist Excel Certification for Data Analysis bundle will give you the skills and knowledge you need to succeed. Learning Outcomes of Microsoft Office Specialist Excel Certification for Data Analysis Bundle Attain QLS Level 5 Diploma in Complete Excel Course, becoming an expert. Master Microsoft Access Power Pack & Workbooks at QLS Level 5. Excel in Microsoft Word, Excel, Powerpoint, and Teams. Unlock automated insights with Advanced Formula, VBA, and Power Query. Dive deep into Data Entry, Typing, and Depreciation Accounting. Conquer SQL for potent Data Analysis. Ensure data security through Understanding Data Protection. Craft compelling reports with Excel Pivot Tables. Why Choose Our Microsoft Office Specialist Excel Certification for Data Analysis Bundle? FREE Microsoft Office Specialist Excel Certification for Data Analysis certificate accredited Get a free student ID card with Microsoft Office Specialist Excel Certification for Data Analysis Training Get instant access to this Microsoft Office Specialist Excel Certification for Data Analysis course. Learn Microsoft Office Specialist Excel Certification for Data Analysis from anywhere in the world The Microsoft Office Specialist Excel Certification for Data Analysis is affordable and simple to understand The Microsoft Office Specialist Excel Certification for Data Analysis is an entirely online, interactive lesson with voiceover audio Lifetime access to the Microsoft Office Specialist Excel Certification for Data Analysis course materials The Microsoft Office Specialist Excel Certification for Data Analysis comes with 24/7 tutor support So enrol now in this Microsoft Office Specialist Excel Certification for Data Analysis Today to advance your career! Embark on a Symphony of Insight: The Microsoft Office Specialist Excel Certification for Data Analysis Bundle Within the tapestry of digital landscapes, where numbers whisper secrets and information orchestrates the dance of decision-making, the Microsoft Office Specialist Excel Certification for Data Analysis (Data Analytics) bundle emerges as a guiding star. With the synergy of Microsoft Office expertise, the finesse of Data Analysis acumen, and the precision of Microsoft Excel, this collection of 20 courses unfolds a narrative of empowerment. From deciphering the enigma of data to crafting narratives that chart success, every module resonates with the harmonious blend of skill and innovation. Discover a world where Microsoft Office becomes a conduit of artistry, Data Analysis unfurls like a story, and Microsoft Excel is the brush that paints insights. Enroll now and let the journey begin - where the symphony of knowledge marries technology to compose a future enriched by understanding, proficiency, and foresight. CPD 180 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Microsoft Office Specialist Excel Certification for Data Analysis Bundle is ideal for: Aspiring data analysts and professionals eager for Excel excellence. Business personnel seeking efficient data management. Those aiming to thrive in roles demanding data-centric skills Requirements You will not need any prior background or expertise in this Microsoft Office Specialist Excel Certification for Data Analysis Bundle. Career path This Microsoft Office Specialist Excel Certification for Data Analysis bundle will allow you to kickstart or take your career to the next stage in the related sector such as: Data Analyst: £25,000 - £40,000 Business Analyst: £28,000 - £45,000 Information Manager: £30,000 - £50,000 Financial Analyst: £26,000 - £42,000 Database Manager: £32,000 - £55,000 Certificates Digital certificate Digital certificate - Included

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Duration 4 Days 24 CPD hours This course is intended for This is an intermediate level course for students that will perform Database Administration tasks, who plan, implement, and maintain D22 11.1 databases. Overview These skills can be developed by taking: DB2 SQL Workshop DB2 Fundamentals This course teaches database administrators to perform basic database administrative tasks using Db2 11.1. These tasks include creating database objects like tables, indexes and views, and loading data into the database with Db2 utilities like LOAD and INGEST. Various diagnostic methods will be presented, including using db2pd command options, and monitoring with SQL statements that reference Db2 monitor functions. Students will learn how to implement automatic archival for database logs and how to recover a database to a specific point in time using the archived logs. The course covers using EXPLAIN tools to review the access plans for SQL statements and adding indexes to improve SQL performance. We will cover the locking performed by Db2 and the effect the application isolation level has on locking and lock wait conditions. Students will learn how to implement database security, including adding a security administrator, SECADM user, and implement database roles to simplify security management. We will also describe implementing Db2 native encryption for a database. Overview of Db2 11.1Db2 Command Line Processor (CLP) and GUI toolsThe Db2 database manager instanceCreating Databases and Data PlacementCreating Database ObjectsMoving DataBackup and RecoveryDatabase Maintenance, Monitoring and Problem DeterminationLocking and concurrencySecurity

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

Duration 3 Days 18 CPD hours This course is intended for Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform Overview This course teaches students the following skills: Derive insights from data using the analysis and visualization tools on Google Cloud Platform Interactively query datasets using Google BigQuery Load, clean, and transform data at scale Visualize data using Google Data Studio and other third-party platforms Distinguish between exploratory and explanatory analytics and when to use each approach Explore new datasets and uncover hidden insights quickly and effectively Optimizing data models and queries for price and performance Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL. Introduction to Data on the Google Cloud Platform Highlight Analytics Challenges Faced by Data Analysts Compare Big Data On-Premises vs on the Cloud Learn from Real-World Use Cases of Companies Transformed through Analytics on the Cloud Navigate Google Cloud Platform Project Basics Lab: Getting started with Google Cloud Platform Big Data Tools Overview Walkthrough Data Analyst Tasks, Challenges, and Introduce Google Cloud Platform Data Tools Demo: Analyze 10 Billion Records with Google BigQuery Explore 9 Fundamental Google BigQuery Features Compare GCP Tools for Analysts, Data Scientists, and Data Engineers Lab: Exploring Datasets with Google BigQuery Exploring your Data with SQL Compare Common Data Exploration Techniques Learn How to Code High Quality Standard SQL Explore Google BigQuery Public Datasets Visualization Preview: Google Data Studio Lab: Troubleshoot Common SQL Errors Google BigQuery Pricing Walkthrough of a BigQuery Job Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs Optimize Queries for Cost Lab: Calculate Google BigQuery Pricing Cleaning and Transforming your Data Examine the 5 Principles of Dataset Integrity Characterize Dataset Shape and Skew Clean and Transform Data using SQL Clean and Transform Data using a new UI: Introducing Cloud Dataprep Lab: Explore and Shape Data with Cloud Dataprep Storing and Exporting Data Compare Permanent vs Temporary Tables Save and Export Query Results Performance Preview: Query Cache Lab: Creating new Permanent Tables Ingesting New Datasets into Google BigQuery Query from External Data Sources Avoid Data Ingesting Pitfalls Ingest New Data into Permanent Tables Discuss Streaming Inserts Lab: Ingesting and Querying New Datasets Data Visualization Overview of Data Visualization Principles Exploratory vs Explanatory Analysis Approaches Demo: Google Data Studio UI Connect Google Data Studio to Google BigQuery Lab: Exploring a Dataset in Google Data Studio Joining and Merging Datasets Merge Historical Data Tables with UNION Introduce Table Wildcards for Easy Merges Review Data Schemas: Linking Data Across Multiple Tables Walkthrough JOIN Examples and Pitfalls Lab: Join and Union Data from Multiple Tables Advanced Functions and Clauses Review SQL Case Statements Introduce Analytical Window Functions Safeguard Data with One-Way Field Encryption Discuss Effective Sub-query and CTE design Compare SQL and Javascript UDFs Lab: Deriving Insights with Advanced SQL Functions Schema Design and Nested Data Structures Compare Google BigQuery vs Traditional RDBMS Data Architecture Normalization vs Denormalization: Performance Tradeoffs Schema Review: The Good, The Bad, and The Ugly Arrays and Nested Data in Google BigQuery Lab: Querying Nested and Repeated Data More Visualization with Google Data Studio Create Case Statements and Calculated Fields Avoid Performance Pitfalls with Cache considerations Share Dashboards and Discuss Data Access considerations Optimizing for Performance Avoid Google BigQuery Performance Pitfalls Prevent Hotspots in your Data Diagnose Performance Issues with the Query Explanation map Lab: Optimizing and Troubleshooting Query Performance Advanced Insights Introducing Cloud Datalab Cloud Datalab Notebooks and Cells Benefits of Cloud Datalab Data Access Compare IAM and BigQuery Dataset Roles Avoid Access Pitfalls Review Members, Roles, Organizations, Account Administration, and Service Accounts

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Course Curriculum Course 01: Diploma in Complete Web Development at QLS Level 5 Module 01: HTML 5 Module 02: CSS 3 Module 03: Bootstrap Module 04: Project 1 - Design a Landing Page Module 05: Project 2 - Business Website Module 06: Project 3 - Portfolio Course 02: Python For Beginners Part 1 Module 01: Introduction to the Python for Beginners Course Module 02: Getting Started with Python Module 03: Data Types and Operators Module 04: Data Structures Module 05: Control Flow Course 03: Coding Essentials - Javascript, ASP. Net, C# - Bonus HTML Module 01: Introduction Module 02: HTML Module 03: HTML Basic Module 04: HTML Intermediate Module 05: HTML Advanced Module 06: JavaScript Introduction Module 07: JavaScript Basics Module 08: JavaScript Operators Module 09: JavaScript Conditional Statements Module 10: JavaScript Control Flow Statements Module 11: JavaScript Functions Module 12: JavaScript Error Handling Module 13: JavaScript Client-Side Validations Module 14: C# Introduction Module 15: C# Basic Module 16: C# Operators Module 17: C# Statements Module 18: C# Control Flow Statements Module 19: C# Built-In Coding Module 20: C# Debugging Techniques Module 21: C# Object-Oriented Programming [OOPs] Module 22: C# Methods Module 23: C# Class Encapsulation Module 24: C# Inheritance And Polymorphism Module 25: C# Abstract And Interfaces Module 26: C# Error Handling Techniques =========>>>>> And 27 More Courses <<<<<========= How will I get my Certificate? 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Software Developer: £30,000 - £70,000 Web Developer: £25,000 - £55,000 Front-End Developer: £30,000 - £50,000 SQL Database Administrator: £30,000 - £60,000 Penetration Tester: £35,000 - £70,000 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 - £29.99 Please note that International students have to pay an additional £10 as a shipment fee. Diploma in Complete Web Development at QLS Level 5 Hard copy certificate - £119 Please note that International students have to pay an additional £10 as a shipment fee.