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Embark on a transformative journey into the realm of data mastery with our comprehensive course, 'Advanced SAS Programming Using MacrosSQL.' From demystifying the intricacies of SAS Studio to unlocking the potential of Proc SQL, this course is a gateway to proficiency in SAS programming and macro scripting. The curriculum, thoughtfully designed to accommodate learners of all levels, takes you through the essential foundations of SAS, the nuances of macro variables, and the power-packed functionalities of Proc SQL. Dive into the world of nested macro variables, conditional logic, and data manipulation, all while honing your skills through practical examples. This course isn't just about learning syntax; it's a hands-on exploration that empowers you to seamlessly connect the dots between SAS Studio and Proc SQL, bringing your data analytics capabilities to new heights. Learning Outcomes Master the fundamentals of SAS Studio and navigate through its interface effortlessly. Develop a deep understanding of macro variables, exploring their applications and delving into nested variations. Acquire proficiency in SAS Macros, from basic examples to advanced keyword usage and conditional logic. Unlock the potential of Proc SQL, gaining expertise in data copying, filtering, sorting, and removing duplicates. Harness the power of data merging using Joins, creating macro variables dynamically in the process. Why choose this Advanced SAS Programming Using MacrosSQL course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Advanced SAS Programming Using MacrosSQL course for? Data enthusiasts seeking to enhance their SAS programming skills. Business analysts aiming to leverage SAS for more effective data analysis. IT professionals aspiring to streamline data management through SAS. Career path SAS Programmer: £35,000 - £55,000 Data Analyst: £30,000 - £50,000 Business Intelligence Developer: £40,000 - £60,000 Database Administrator: £35,000 - £60,000 Data Scientist: £45,000 - £70,000 Analytics Manager: £50,000 - £80,000 Prerequisites This Advanced SAS Programming Using MacrosSQL does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Advanced SAS Programming Using MacrosSQL 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 Advanced SAS Programming Using MacrosSQL Unit - 1 Section 0-00- Why SAS 00:01:00 Unit - 2 Section 2-02- SAS Studio through SAS OnDemand- Registration 00:04:00 Section 2-03- Logging-in to SAS after installation 00:01:00 Section 2-04- SAS Interface and windows 00:06:00 Unit - 3 Section 3-00- Section Overview - Macros 00:01:00 Section 3-01-Macro Variables - introduction 00:14:00 Section 3-02-Application of macro variables 00:13:00 Section 3-03-01-Nested macro vars 00:11:00 Section 3-03-02-More on Ampersand resolutions using a cool example 00:09:00 Section 3-04-00-SAS Macros - introduction 00:10:00 Section 3-04-01-SAS Macros - Examples 00:07:00 Section 3-04-02-Keyword positional and mixed params 00:06:00 Section 3-04-03-Conditional Logic in Macros 00:11:00 Section 3-05-Macro Functions 00:12:00 Section 3-05-Options Statement- mprint-mlogic-symbolgen 00:13:00 Section 3-07-Connecting the two worlds - Call Symput - Symget 00:14:00 Section 3-09-01-02- Bringing data into SAS using Import Wizard 00:04:00 Section 3-09-02- Bringing data into SAS using LIBNAME statement 00:05:00 Section 3-09-03- Bringing data into SAS using FILENAME 00:05:00 Unit - 4 Section 4-00- Section Overview - Proc SQL 00:01:00 Section 4-01-01-Proc SQL - copying data 00:13:00 Section 4-01-02-Proc SQL - filtering data 00:07:00 Section 4-01-03-Proc SQL - sorting data 00:08:00 Section 4-01-04-Proc SQL - removing duplicates 00:05:00 Section 4-02-01-Proc SQL - Union 00:09:00 Section 4-02-02-Proc SQL - Except 00:04:00 Section 4-02-03-Proc SQL - Intersect 00:02:00 Section 4-03-00-Merging data using Joins-Introduction 00:08:00 Section 4-03-01-Proc SQL - inner join 00:14:00 Section 4-03-02-Proc SQL - full join 00:08:00 Section 4-03-03-Proc SQL - left and right joins 00:07:00 Section 4-04-01-Proc SQL - creating macro vars 00:07:00 Unit - 5 Section 5-00- Bonus lecture 00:02:00

Welcome to Microsoft sql server development for everyone Course. The world of data is a vast and complex one. But with the right tools, it can be yours to explore. SQL Server is one of those tools. It's a powerful database management system that can help you store, manage, and analyse data in ways that were never before possible.   In this Microsoft SQL Server Development for Everyone! course, you'll learn the basics of SQL Server development. You'll learn how to create and manage databases, tables, and data. You'll also learn how to write SQL queries to manipulate data.   Starting with a solid Introduction to SQL, you'll grasp core concepts and gain a strong foundation. We'll then dive into Manipulating Tables and Data, equipping you with effective skills for storing, retrieving, updating, and deleting information.   But we won't stop there! Our in-depth exploration of Relationships and Foreign Keys will ensure you understand the importance of data integrity and how to establish connections between tables. You'll create robust and reliable databases with enforced referential integrity. Next, we'll empower you with the tools of Group By and Aggregate Functions, enabling efficient data analysis and summarisation. Extracting meaningful insights from vast amounts of information will become second nature to you.   To become a well-rounded SQL Server developer, we'll conclude the course with Advanced SQL Server Objects and Concepts. You'll gain a deep understanding of essential elements like stored procedures, views, triggers, and indexes. This knowledge will optimise performance and streamline your development process.   By the end of this Microsoft SQL Server Development for Everyone! course, you'll have a strong understanding of how to use SQL Server to manage and manipulate data. You'll be able to build powerful applications that make better decisions. Become a sought-after SQL Server developer and master the art of data management. Join us today and unlock your data-driven potential!   Learning Outcomes: Through this comprehensive course, you should be able to:   Understand core concepts and gain a strong foundation in SQL Server development. Acquire skills to effectively manipulate tables and data. Establish relationships and enforce data integrity using foreign keys. Utilise group by and aggregate functions for efficient data analysis. Explore advanced SQL Server objects and concepts like stored procedures and views. Gain proficiency in implementing triggers and optimising database performance. Develop the ability to create robust and reliable databases.   Who is this course for? This Microsoft SQL Server Development for Everyone! course is perfect for:   Aspiring developers looking to enhance their programming skills. Professionals seeking to expand their knowledge of SQL Server development. Individuals interested in exploring the world of databases and data management. Students or graduates pursuing a career in database administration or development. Curious learners eager to harness the power of SQL Server.   Career Path Our course will help you to pursue a range of careers, including:   Database Administrator: £25,000 - £60,000 per year. SQL Developer: £30,000 - £65,000 per year. Data Analyst: £25,000 - £55,000 per year. Business Intelligence Developer: £35,000 - £70,000 per year. Software Engineer: £30,000 - £70,000 per year. Data Engineer: £40,000 - £80,000 per year. Database Architect: £45,000 - £90,000 per year. Certification After studying the course materials of the Microsoft SQL Server Development for Everyone! there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Prerequisites This Microsoft SQL Server Development for Everyone! does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Microsoft SQL Server Development for Everyone! 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.   Course Curriculum Introduction Introduction to SQL Server and Databases 00:04:00 Download and Install SQL Server Express 00:05:00 Manipulating Tables and Data Connect to Database Instance and Create a Database 00:06:00 Drop or Remove Database 00:04:00 What is a Database Table? 00:02:00 Create an SQL Database Table 00:32:00 Insert Data into the Table with SQL Script 00:15:00 Insert Data into the Table with Management Studio 00:05:00 Select Data from the Table with SQL Script 00:09:00 More Advanced Select Queries Part 1 00:18:00 Update Data in the Table 00:10:00 Update Data in the Table with Management Studio GUI 00:02:00 Delete Data from the Table with SQL Script 00:06:00 Delete Data from the Table with Management Studio GUI 00:01:00 Relationships and Foreign Keys What are Relationships, Foreign Keys and Normalization 00:11:00 Create a Relationship in SQL Server 00:19:00 Insert Records in Related Tables 00:13:00 Run Queries on Related Tables 00:19:00 Left, Right and Full Joins 00:11:00 Group By and Aggregate Functions Grouping Data using SQL GROUP BY Clause 00:12:00 SQL AVG Aggregate Function 00:11:00 SQL COUNT Aggregate Function 00:04:00 SQL MAX and MIN Aggregate Functions 00:04:00 SQL SUM Aggregate Function 00:04:00 Advanced SQL Server Objects and Concepts Create and Manage Views 00:23:00 Scalar Valued Functions 00:27:00 Inline Table Valued Functions 00:09:00 Multi Statement Table Valued Functions 00:12:00 Stored Procedures 00:28:00 Table Triggers 00:19:00 Database Scripting, Backup and Restore 00:15:00 Assignment Assignment - Microsoft SQL Server Development for Everyone! 00:00:00

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special IT for Recruiters Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The IT for Recruiters Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This IT for Recruiters Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This IT for Recruiters Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this IT for Recruiters? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the IT for Recruiters there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This IT for Recruiters course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This IT for Recruiters does not require you to have any prior qualifications or experience. You can just enrol and start learning.This IT for Recruiters was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This IT for Recruiters is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Introduction Introduction 00:02:00 IT Fundamentals What is hardware and software 00:04:00 Server 00:08:00 Project Life cycle 00:06:00 Software Development Life Cycle 00:08:00 IT Terms Basics Methodologies 00:09:00 CMS 00:04:00 API 00:04:00 CI/CD 00:04:00 Stacks 00:03:00 Native and Hybrid Native Apps 00:02:00 IT Positions CTO 00:13:00 IT Architect 00:08:00 Product Owner 00:12:00 Project Manager 00:13:00 Product Manager 00:06:00 PO vs PM vs Product Manager 00:07:00 PO vs Product Manager 00:04:00 Business Analyst 00:09:00 Business Intelligence Specialist 00:06:00 Data Engineer 00:05:00 Data Scientist 00:07:00 Data Engineer vs Data Scientist 00:07:00 Agile Coach 00:14:00 Scrum Master 00:08:00 Agile Coach vs Scrum Master 00:01:00 Frontend Developer 00:06:00 Backend Developer 00:06:00 Fullstack Developer 00:04:00 Frontend vs Backend vs Fullstack Developer 00:02:00 iOS Developer 00:03:00 Android Developer 00:04:00 UX Designer 00:09:00 UI Designer 00:08:00 UX vs UI Designer 00:04:00 QA Engineer_Tester 00:09:00 SysAdmin 00:07:00 DevOps 00:05:00 SEO 00:10:00 IT Technologies. Programming Languages and Frameworks Programming languages and frameworks. Intro 00:01:00 Programming languages and frameworks 00:08:00 Java 00:03:00 JavaScript 00:02:00 Python 00:01:00 C 00:02:00 C++ 00:03:00 C# 00:02:00 HTML 00:02:00 PHP 00:02:00 SWIFT 00:02:00 Objective-C 00:01:00 Ruby 00:02:00 SQL 00:02:00 Go (Golang) 00:01:00 Databases Database 00:05:00 Types of Databases 00:07:00 From Recruiter to Recruiter The day of an IT Recruiter 00:05:00 Key principles 00:03:00 Sourcing Tipps 00:03:00 Good Bye Video Good Bye Video 00:01:00

In an era awash with data, understanding it is the key to unlocking significant opportunities. Enter the realm of 'SQL For Data Analytics & Database Development'. Dive deep into the heart of data manipulation, exploration, and insight generation. This course unfurls the magic behind SQL, drawing back the curtain on the tools that empower businesses globally. Understanding SQL's profound capabilities opens doors to a world where data-driven decision-making is not just an advantage but an imperative. It isn't simply about data storage. This course unravels the art of analytics, shedding light on how to glean valuable insights from vast data lakes. The path of SQL isn't merely technical; it's the spine of transformative decisions in today's leading industries. Offering a systematic approach to database development, we invite you to embark on this illuminative journey, stitching the threads of raw data into the fabric of meaningful stories. Come harness the power of SQL. Whether your intent is data analytics or the intricate craft of database development, this is your gateway. Let us guide you, from the rudimentary steps to mastering advanced commands, constructing your data narrative, and informing the future. Learning Outcomes: Comprehend the fundamental architecture of SQL and its environment. Acquire proficiency in basic and advanced SQL statements. Understand and implement GROUP BY statements for data aggregation. Master the concepts and applications of JOINS in databases. Cultivate the ability to create and structure databases and tables. Delve into advanced SQL commands, enhancing data manipulation and querying capabilities. Construct efficient database models, fostering optimal data storage and retrieval.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/SQL-DATA-ANALYSIS.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why choose this SQL For Data Analytics & Database Development course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the SQL For Data Analytics & Database Development Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this SQL For Data Analytics & Database Development course for? Aspirants seeking to transition into data-driven roles in various industries. Database administrators aiming to broaden their analytical capabilities. Business analysts eager to enhance their data querying skills. Researchers in need of comprehensive data management tools. Tech enthusiasts wanting to grasp the underpinnings of database systems. Career path Data Analyst - Average salary: £35,000 - £50,000 Per Annum Database Developer - Average salary: £40,000 - £55,000 Per Annum Business Intelligence Analyst - Average salary: £38,000 - £52,000 Per Annum SQL Developer - Average salary: £42,000 - £58,000 Per Annum Database Administrator (DBA) - Average salary: £45,000 - £60,000 Per Annum Data Engineer - Average salary: £47,000 - £63,000 Per Annum Prerequisites This SQL For Data Analytics & Database Development 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 Course Introduction Introduction 00:04:00 Course Curriculum Overview 00:05:00 Overview of Databases 00:10:00 SQL Environment Setup MySQL Installation 00:16:00 MySQL Workbench Installation 00:09:00 Connecting to MySQL using Console 00:09:00 SQL Statement Basics Overview of Challenges 00:04:00 SQL Statement Basic 00:16:00 SELECT Statement 00:09:00 SELECT DISTINCT 00:05:00 Column AS Statement 00:12:00 COUNT built-in Method usage 00:11:00 SELECT WHERE Clause - Part One 00:05:00 SELECT WHERE Clause - Part Two 00:11:00 SQL Statement Basic 00:16:00 SQL Limit Clause Statement 00:09:00 SQL Using BETWEEN with Same Column Data 00:11:00 How to Apply IN Operator 00:11:00 Wildcard Characters with LIKE and ILIKE 00:11:00 GROUP BY Statements Overview of GROUP BY 00:06:00 Aggregation function SUM() 00:09:00 Aggregation MIN() and MAX() 00:05:00 GROUP BY - One 00:09:00 GROUP BY - Two 00:12:00 HAVING Clause 00:05:00 JOINS Overview of JOINS 00:04:00 Introduction to JOINS 00:04:00 AS Statement table 00:03:00 INNER Joins 00:14:00 FULL Outer Join 00:11:00 LEFT Outer JOIN 00:08:00 RIGHT JOIN 00:08:00 Union 00:07:00 Advanced SQL Commands / Statements Timestamps 00:12:00 EXTRACT from timestamp 00:10:00 Mathematical Functions 00:12:00 String Functions 00:22:00 SUBQUERY 00:13:00 Creating Database and Tables Basic of Database and Tables 00:06:00 DataTypes 00:10:00 Primarykey and Foreignkey 00:06:00 Create Table in SQL Script 00:13:00 Insert 00:11:00 Update 00:07:00 Delete 00:04:00 Alter Table 00:09:00 Drop Table 00:05:00 NOT NULL Constraint 00:08:00 UNIQUE Constraint 00:09:00 Databases and Tables Creating a Database backup 00:12:00 10a Overview of Databases and Tables 00:05:00 10c Restoring a Database 00:07:00

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Recruitment: IT Basics for IT Recruiters Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Recruitment: IT Basics for IT Recruiters Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Recruitment: IT Basics for IT Recruiters Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Recruitment: IT Basics for IT Recruiters Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Recruitment: IT Basics for IT Recruiters? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Recruitment: IT Basics for IT Recruiters there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Recruitment: IT Basics for IT Recruiters course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Recruitment: IT Basics for IT Recruiters does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Recruitment: IT Basics for IT Recruiters was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Recruitment: IT Basics for IT Recruiters is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Introduction Introduction 00:02:00 Section 02: IT Fundamentals Server 00:08:00 What is hardware and software? 00:04:00 Project Life Cycle 00:06:00 Software Development Life Cycle 00:08:00 Section 03: IT Terms / basics Methodologies: Scrum, Agile, Kanban, Waterfall, Lean 00:09:00 CMS 00:04:00 API 00:04:00 Stacks 00:03:00 Native & Hybrid Native Apps 00:02:00 CI / CD / Deployment tools 00:04:00 Section 04: IT Positions CTO 00:13:00 IT Architects 00:08:00 Product Owner 00:12:00 Product Manager 00:06:00 PO vs Product Manager 00:04:00 Project Manager 00:13:00 Product Owner vs Project Manager vs Product Manager 00:07:00 Business Analysts 00:09:00 Business Intelligence Analyst 00:06:00 Data Engineer 00:05:00 Data Scientist 00:07:00 Data Engineer vs Data Scientist 00:07:00 Agile Coach 00:14:00 Scrum Master 00:08:00 Agile Coach vs Scrum Master 00:01:00 Frontend Developer 00:06:00 Backend Developer 00:06:00 Fullstack Developer 00:04:00 Developers: Frontend, Backend and Fullstack 00:02:00 iOS Developer 00:03:00 Android Developer 00:04:00 UX Designers 00:09:00 UI Design 00:08:00 UX vs UI Design: what is the difference? 00:04:00 QA Engineers and Testers 00:09:00 System Administrators+ 00:07:00 DevOps 00:05:00 SEO Specialists: who are they? 00:10:00 Section 05: IT Technologies Programming languages and frameworks Programming Languages and Frameworks. Introduction 00:01:00 Programming languages and frameworks 00:08:00 JavaScript 00:02:00 Java 00:03:00 Python 00:01:00 C 00:02:00 C# 00:02:00 C++ 00:03:00 SWIFT 00:02:00 Objective C 00:01:00 HTML 00:02:00 PHP 00:02:00 Ruby 00:02:00 SQL 00:02:00 Go 00:01:00 R 00:01:00 Section 06: IT Technologies: Databases Database 00:05:00 Types of Databases 00:07:00 Section 07: From Recruiter to Recruiter The day of an IT Recruiter 00:05:00 Key principles 00:03:00 Sourcing Tipps 00:03:00 Section 08: Bye-bye Thank you for taking part in this course! 00:01:00 Assignment Assignment - Recruitment: IT Basics for IT Recruiters 00:00:00

Unlock the power of data with our 'Data Analytics with Tableau' course, a gateway to visualising and understanding your business's most crucial insights. Whether you're analysing sales, human resources, or stock prices, our expertly curated projects will equip you with the prowess to transform raw data into actionable strategies. With Tableau at your fingertips, you'll navigate diverse datasets from Discount Mart's profits to Tesla's stock prices, and more. This course isn't just about data; it's about weaving compelling stories that drive decision-making, all while delving into the foundations of database concepts. Learning Outcomes Understand the core functionalities of Tableau for data visualisation. Analyse and interpret datasets from various business domains such as sales, HR, and stock markets. Craft Tableau stories that effectively communicate insights and drive decisions. Acquire foundational knowledge of database concepts pertinent to data analytics. Gain proficiency in executing projects and transforming business questions into analytical solutions. Why choose this Certificate in Data Analytics with Tableau at QLS Level 3 course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Analytics with Tableau at QLS Level 3 for? Individuals seeking to elevate their data visualisation skills using Tableau. Business analysts and consultants aiming to harness the power of data-driven storytelling. Marketing professionals keen on deriving actionable insights from data. Finance and HR professionals looking to analyse datasets effectively. Entrepreneurs aiming to make data-driven decisions for their enterprises. Career path Data Analyst: £25,000 - £40,000 Tableau Developer: £30,000 - £55,000 Business Intelligence Analyst: £28,000 - £50,000 Data Visualisation Expert: £32,000 - £57,000 HR Analytics Specialist: £29,000 - £52,000 Stock Market Data Analyst: £27,000 - £48,000 Prerequisites This Certificate in Data Analytics with Tableau at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This 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. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Module 01: Introduction to the Course Introduction to the Course 00:02:00 What is Tableau?An Introduction to Tableau 00:03:00 How this course is Structured 00:01:00 Installing the Free Full Version of Tableau 00:02:00 Module 02: Project 1: Discount Mart (Sales and Profit Analytics) Project Brief for Discount Mart 00:03:00 Connecting and Preparing Data for Discount Mart 00:15:00 Building Charts on Tableau for Discount Mart (Part 1) 00:33:00 Building Charts on Tableau for Discount Mart (Part 2) 00:16:00 Creating Headline Cards on Tableau for Discount Mart 00:10:00 Building and Publishing Dashboards on Tableau 00:15:00 Module 03: Project 2: Green Destinations (HR Analytics) Project Brief for Green Destinations 00:02:00 Connecting and Preparing Data for Green Destinations 00:09:00 Building Charts on Tableau (Part 1) for Green Destinations 00:28:00 Building Charts on Tableau (Part 2) for Green Destinations 00:08:00 Creating Headline Cards on Tableau 00:12:00 Building a Dashboard for Green Destinations 00:12:00 Publish your Dashboard to Tableau Public 00:03:00 Module 04: Project 3: Superstore (Sales Agent Tracker) Project Brief for Super Store 00:02:00 Connecting and Preparing Data for Super Store 00:17:00 Building Charts on Tableau (Part 1) for Super Store 00:34:00 Building Charts on Tableau (Part 2) for Super Store 00:23:00 Building a Dashboard 00:18:00 Publish your Dashboard to Tableau Public 00:03:00 Module 05: Northwind Trade (Shipping Analytics) Project Brief for Northwind Trade 00:03:00 Connecting and Preparing Data for Northwind Trade 00:14:00 Building Charts on Tableau for Northwind Trade 00:37:00 Building and Publishing Dashboards for Northwind Trade 00:10:00 Module 06: Project 5: Tesla (Stock Price Analytics) Project Brief for Tesla 00:02:00 Creating a Data Source through Google Sheet Functions 00:05:00 Connect to the Data for Tesla 00:04:00 Building Charts on Tableau for Tesla 00:22:00 Building Headline Cards 00:09:00 Building a Tesla Dashboard 00:08:00 Publish your Dashboard to Tableau Public 00:03:00 Module 07: Bonus: Introduction to Database Concepts Introduction to Database Concepts 00:01:00 Understanding Relational Databases 00:04:00 Relationships of Database Entities 00:02:00 Primary and Foreign Keys 00:01:00 Data types and Naming Conventions 00:04:00 Module 08: Tableau Stories Creating Stories on Tableau 00:05:00 Resources Resources - Certificate in Data Analytics with Tableau at QLS Level 3 00:00:00 Assignment Assignment - Certificate in Data Analytics with Tableau at QLS Level 3 04:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Embark on a captivating journey into the world of artificial intelligence with our course, 'Machine Learning Basics.' This voyage begins with an immersive introduction, setting the stage for an exploration into the intricate and fascinating realm of machine learning. Envision yourself unlocking the mysteries of algorithms and data patterns, essential skills in today's technology-driven landscape. The course offers a comprehensive foray into the core principles of machine learning, starting from the very basics and gradually building to more complex concepts, making it an ideal path for beginners and enthusiasts alike. As you delve deeper, each section unravels a vital component of machine learning. Grasp the essentials of regression analysis, understand the role of predictors, and navigate through the functionalities of Minitab, a key tool in data analysis. Journey through the structured world of regression trees and binary logistic regression, and master the art of classification trees. The course also emphasizes the importance of data cleaning and constructing robust data models, culminating in the achievement of learning success. This course is not just an educational experience; it's a gateway to the future of data science and AI. Learning Outcomes Comprehend the basic principles and applications of machine learning. Develop proficiency in regression analysis and predictor identification. Gain practical skills in Minitab for data analysis. Understand and apply regression and classification trees. Acquire expertise in data cleaning and model creation. Why choose this Machine Learning Basics course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Machine Learning Basics course for? Novices eager to delve into machine learning. Data enthusiasts looking to enhance their analytical skills. Professionals in IT and related fields expanding their expertise. Academics and students in computer science and data studies. Career changers interested in the field of data science and AI. Career path Data Analyst - £30,000 to £55,000 Machine Learning Engineer - £40,000 to £80,000 AI Developer - £35,000 to £75,000 Business Intelligence Analyst - £32,000 to £60,000 Research Scientist (Machine Learning) - £45,000 to £85,000 Software Engineer (AI Specialization) - £38,000 to £70,000 Prerequisites This Machine Learning Basics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Basics 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 Section 01: Introduction Introduction to Supervised Machine Learning 00:06:00 Section 02: Regression Introduction to Regression 00:13:00 Evaluating Regression Models 00:11:00 Conditions for Using Regression Models in ML versus in Classical Statistics 00:21:00 Statistically Significant Predictors 00:09:00 Regression Models Including Categorical Predictors. Additive Effects 00:20:00 Regression Models Including Categorical Predictors. Interaction Effects 00:18:00 Section 03: Predictors Multicollinearity among Predictors and its Consequences 00:21:00 Prediction for New Observation. Confidence Interval and Prediction Interval 00:06:00 Model Building. What if the Regression Equation Contains 'Wrong' Predictors? 00:13:00 Section 04: Minitab Stepwise Regression and its Use for Finding the Optimal Model in Minitab 00:13:00 Regression with Minitab. Example. Auto-mpg: Part 1 00:17:00 Regression with Minitab. Example. Auto-mpg: Part 2 00:18:00 Section 05: Regression Trees The Basic idea of Regression Trees 00:18:00 Regression Trees with Minitab. Example. Bike Sharing: Part1 00:15:00 Regression Trees with Minitab. Example. Bike Sharing: Part 2 00:10:00 Section 06: Binary Logistics Regression Introduction to Binary Logistics Regression 00:23:00 Evaluating Binary Classification Models. Goodness of Fit Metrics. ROC Curve. AUC 00:20:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 1 00:16:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 2 00:18:00 Section 07: Classification Trees Introduction to Classification Trees 00:12:00 Node Splitting Methods 1. Splitting by Misclassification Rate 00:20:00 Node Splitting Methods 2. Splitting by Gini Impurity or Entropy 00:11:00 Predicted Class for a Node 00:06:00 The Goodness of the Model - 1. Model Misclassification Cost 00:11:00 The Goodness of the Model - 2 ROC. Gain. Lit Binary Classification 00:15:00 The Goodness of the Model - 3. ROC. Gain. Lit. Multinomial Classification 00:08:00 Predefined Prior Probabilities and Input Misclassification Costs 00:11:00 Building the Tree 00:08:00 Classification Trees with Minitab. Example. Maintenance of Machines: Part 1 00:17:00 Classification Trees with Miitab. Example. Maintenance of Machines: Part 2 00:10:00 Section 08: Data Cleaning Data Cleaning: Part 1 00:16:00 Data Cleaning: Part 2 00:17:00 Creating New Features 00:12:00 Section 09: Data Models Polynomial Regression Models for Quantitative Predictor Variables 00:20:00 Interactions Regression Models for Quantitative Predictor Variables 00:15:00 Qualitative and Quantitative Predictors: Interaction Models 00:28:00 Final Models for Duration and TotalCharge: Without Validation 00:18:00 Underfitting or Overfitting: The 'Just Right Model' 00:18:00 The 'Just Right' Model for Duration 00:16:00 The 'Just Right' Model for Duration: A More Detailed Error Analysis 00:12:00 The 'Just Right' Model for TotalCharge 00:14:00 The 'Just Right' Model for ToralCharge: A More Detailed Error Analysis 00:06:00 Section 10: Learning Success Regression Trees for Duration and TotalCharge 00:18:00 Predicting Learning Success: The Problem Statement 00:07:00 Predicting Learning Success: Binary Logistic Regression Models 00:17:00 Predicting Learning Success: Classification Tree Models 00:09:00

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Business Management and Finance Course Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Business Management and Finance Course Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Business Management and Finance Course Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Business Management and Finance Course Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Business Management and Finance Course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Business Management and Finance Course there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Business Management and Finance Course course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Business Management and Finance Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Business Management and Finance Course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Business Management and Finance Course is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum **Business Management** Module 01: Basics of Business Process Management The Fundamentals of Business Process Management 00:30:00 Defining Business Process Management 00:30:00 The Business Process Life Cycle 00:15:00 Module 02: The Vision, Design & Execution Phase of Business Management The Vision Phase 00:15:00 The Design Phase 01:00:00 The Execution Phase 01:00:00 Module 03: The Monitoring & Optimising Phase of Business Management The Monitoring Phase 00:30:00 The Optimising Phase 01:00:00 Module 04: Project Management Project Management 00:45:00 Module 05: Marketing, Positioning and Pricing Marketing and Its Components 00:05:00 Positioning and Pricing 00:05:00 Module 06: Selling and Negotiating Selling and Negotiating 00:06:00 Module 07: Leadership and Management Leadership and Management 00:20:00 Module 08: Five Practices and Change Management Five Practices 00:05:00 Managing Change 00:05:00 Module 09: Critical Thinking Critical Thinking 00:40:00 Module 10: Business Relationship Management Managing Relationships 00:30:00 Module 11: Meeting Management Meeting Management 01:30:00 Module 12: Infrastructure of the Information Technology for Business Management IT Infrastructure and Emerging Technologies 00:10:00 Foundations of Business Intelligence : Databases and Information Management 00:20:00 Telecommunications, Internet, and Wireless Technology 00:10:00 Securing Information Systems 00:40:00 Module 13: Key System Applications for the Digital Business Achieving Operational Excellence and Customer Intimacy: Enterprise Applications 00:15:00 E-Commerce : Digital Markets, Digital Goods 00:15:00 Knowledge Management Systems 00:25:00 **Financial Accounting** Module : 01 Chris Moore - Accounting for Beginners Promo 00:01:00 Chris Moore - 1. Introduction 00:03:00 Chris Moore - 2. First Transactions 00:05:00 Chris Moore - 3. T Accounts introduction 00:03:00 Chris Moore - 4. T-Accounts conclusion 00:03:00 Chris Moore - 5. Trial Balance 00:02:00 Chris Moore - 6. Income Statement 00:03:00 Chris Moore - 7. Balance Sheet 00:03:00 Module : 02 Chris Moore - 8. Balance Sheet Variations 00:03:00 Chris Moore - 9. Accounts in practise 00:05:00 Chris Moore - 10. Balance Sheets what are they 00:05:00 Chris Moore - 11. Balance Sheet Level 2 00:03:00 Chris Moore - 12. Income Statement Introduction 00:06:00 Chris Moore - 13. Are they Expenses, or Assets 00:03:00 Chris Moore - 14. Accounting Jargon 00:02:00 Module : 03 Chris Moore - 15. Accruals Accounting is Fundamental 00:03:00 Chris Moore - 16. Trial Balance 3 days ago More 00:04:00 Chris Moore - 17. Fixed Assets and how it is shown in the Income Statement 00:03:00 Chris Moore - 18. Stock movements and how this affects the financials 00:03:00 Chris Moore - 19. Accounts Receivable 00:03:00 Chris Moore - 20. How to calculate the Return on Capital Employed 00:05:00 Chris Moore - 21. Transfer Pricing - International Rules 00:02:00 Mock Exam Mock Exam - Business Management and Finance Course 00:20:00 Final Exam Final Exam - Business Management and Finance Course 00:20:00

Dive deep into the vast realm of Python data science with our meticulously crafted course: 'Python Data Science with Numpy, Pandas and Matplotlib'. Explore the intricate details of Python, setting the stage with Pandas and Numpy, before delving into the power of Python data structures. With topics ranging from Python Strings to Matplotlib Histograms, you'll gain a holistic insight, ensuring that every dataset you touch unveils its story compellingly. So, if you're keen on transmuting raw data into visual masterpieces or insights, this journey is tailor-made for you. Learning Outcomes Grasp foundational knowledge of Python and its data structures like strings, lists, and dictionaries. Understand the potential of NumPy, from basic array operations to handling multi-dimensional arrays. Master the versatility of Pandas, encompassing everything from dataframe conversions to intricate operations like aggregation and binning. Efficiently manage, manipulate, and transform data using Pandas' diverse functionalities. Create visually striking and informative graphs using the power of Matplotlib. Why buy this Python Data Science with Numpy, Pandas and Matplotlib course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Python Data Science with Numpy, Pandas and Matplotlib there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Python Data Science with Numpy, Pandas and Matplotlib course for? Beginners eager to jumpstart their journey in Python data science. Analysts looking to enhance their data manipulation skills using Python. Statisticians keen on expanding their toolset with Python-based libraries. Data enthusiasts desiring a deep dive into Python's data libraries and structures. Professionals aiming to upgrade their data visualisation techniques. Prerequisites This Python Data Science with Numpy, Pandas and Matplotlib does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python Data Science with Numpy, Pandas and Matplotlib was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Scientist: £40,000 - £80,000 Python Developer: £35,000 - £70,000 Data Analyst: £30,000 - £55,000 Business Intelligence Analyst: £32,000 - £60,000 Research Analyst: £28,000 - £52,000 Data Visualization Engineer: £33,000 - £65,000 Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:09:00 Introduction to Python, Pandas and Numpy Introduction to Python, Pandas and Numpy 00:07:00 System and Environment Setup System and Environment Setup 00:08:00 Python Strings Python Strings - Part 1 00:11:00 Python Strings - Part 2 00:09:00 Python Numbers and Operators Python Numbers and Operators - Part 1 00:06:00 Python Numbers and Operators - Part 2 00:07:00 Python Lists Python Lists - Part 1 00:05:00 Python Lists - Part 2 00:06:00 Python Lists - Part 3 00:05:00 Python Lists - Part 4 00:07:00 Python Lists - Part 5 00:07:00 Tuples in Python Tuples in Python 00:06:00 Sets in Python Sets in Python - Part 1 00:05:00 Sets in Python - Part 2 00:04:00 Python Dictionary Python Dictionary - Part 1 00:07:00 Python Dictionary - Part 2 00:07:00 NumPy Library - Introduction NumPy Library Intro - Part 1 00:05:00 NumPy Library Intro - Part 2 00:05:00 NumPy Library Intro - Part 3 00:06:00 NumPy Array Operations and Indexing NumPy Array Operations and Indexing - Part 1 00:04:00 NumPy Array Operations and Indexing - Part 2 00:06:00 NumPy Multi-Dimensional Arrays NumPy Multi-Dimensional Arrays - Part 1 00:07:00 NumPy Multi-Dimensional Arrays - Part 2 00:06:00 NumPy Multi-Dimensional Arrays - Part 3 00:05:00 Introduction to Pandas Series Introduction to Pandas Series 00:08:00 Introduction to Pandas Dataframes Introduction to Pandas Dataframes 00:07:00 Pandas Dataframe conversion and drop Pandas Dataframe conversion and drop - Part 1 00:06:00 Pandas Dataframe conversion and drop - Part 2 00:06:00 Pandas Dataframe conversion and drop - Part 3 00:07:00 Pandas Dataframe summary and selection Pandas Dataframe summary and selection - Part 1 00:06:00 Pandas Dataframe summary and selection - Part 2 00:06:00 Pandas Dataframe summary and selection - Part 3 00:07:00 Pandas Missing Data Management and Sorting Pandas Missing Data Management and Sorting - Part 1 00:07:00 Pandas Missing Data Management and Sorting - Part 2 00:07:00 Pandas Hierarchical-Multi Indexing Pandas Hierarchical-Multi Indexing 00:06:00 Pandas CSV File Read Write Pandas CSV File Read Write - Part 1 00:05:00 Pandas CSV File Read Write - Part 2 00:07:00 Pandas JSON File Read Write Pandas JSON File Read Write Operations 00:07:00 Pandas Concatenation Merging and Joining Pandas Concatenation Merging and Joining - Part 1 00:05:00 Pandas Concatenation Merging and Joining - Part 2 00:04:00 Pandas Concatenation Merging and Joining - Part 3 00:04:00 Pandas Stacking and Pivoting Pandas Stacking and Pivoting - Part 1 00:06:00 Pandas Stacking and Pivoting - Part 2 00:05:00 Pandas Duplicate Data Management Pandas Duplicate Data Management 00:07:00 Pandas Mapping Pandas Mapping 00:04:00 Pandas Grouping Pandas Groupby 00:06:00 Pandas Aggregation Pandas Aggregation 00:09:00 Pandas Binning or Bucketing Pandas Binning or Bucketing 00:08:00 Pandas Re-index and Rename Pandas Re-index and Rename - Part 1 00:04:00 Pandas Re-index and Rename - Part 2 00:05:00 Pandas Replace Values Pandas Replace Values 00:05:00 Pandas Dataframe Metrics Pandas Dataframe Metrics 00:07:00 Pandas Random Permutation Pandas Random Permutation 00:08:00 Pandas Excel sheet Import Pandas Excel sheet Import 00:07:00 Pandas Condition Selection and Lambda Function Pandas Condition Selection and Lambda Function - Part 1 00:05:00 Pandas Condition Selection and Lambda Function - Part 2 00:05:00 Pandas Ranks Min Max Pandas Ranks Min Max 00:06:00 Pandas Cross Tabulation Pandas Cross Tabulation 00:07:00 Matplotlib Graphs and plots Graphs and plots using Matplotlib - Part 1 00:06:00 Graphs and plots using Matplotlib - Part 2 00:02:00 Matplotlib Histograms Matplotlib Histograms 00:03:00 Resource File Resource File - Python Data Science with Numpy, Pandas and Matplotlib 00:00:00

Embark on a comprehensive journey into the world of MySQL with a focus on its applications in Data Science and Analytics. This course is structured to take you from the fundamentals to advanced topics in MySQL Server. Covering SQL basics, data manipulation and definition, control and analytic functions, and database management, you'll acquire the essential skills for harnessing MySQL's power in data-driven decision-making. Learning Outcomes: Establish a strong foundation in SQL and MySQL. Set up and configure SQL Server for efficient data handling. Master SQL's Data Manipulation, Definition, and Control Language. Create and optimize SQL queries for data analysis. Perform advanced data analytics using SQL. Understand the power of GROUP BY and JOIN statements. Implement data constraints and views for data integrity and security. Develop proficiency in stored procedures, data import/export, and database backup/restore. Why buy this Learn MySQL from Scratch for Data Science and Analytics?  Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Learn MySQL from Scratch for Data Science and Analytics you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Learn MySQL from Scratch for Data Science and Analytics course is ideal for Aspiring Data Scientists and Analysts. Database Administrators and Developers. Students and professionals seeking to enter the field of Data Science. Anyone looking to enhance their SQL and MySQL skills for data-related roles. Prerequisites This Learn MySQL from Scratch for Data Science and Analytics was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Analyst: £25,000 - £50,000 per year. Database Administrator: £30,000 - £60,000 per year. SQL Developer: £30,000 - £60,000 per year. Data Scientist: £40,000 - £80,000 per year. Business Intelligence Analyst: £35,000 - £65,000 per year. Course Curriculum Learn MySQL from Scratch for Data Science and Analytics Section 01: Getting Started Introduction 00:02:00 How to get course requirements 00:01:00 Getting started on Windows, Linux or Mac 00:01:00 How to ask great questions 00:01:00 FAQ's 00:01:00 What is Source Code? 00:09:00 Section 02: SQL Server setting up Section Introduction 00:01:00 MySQL Server Installation 00:14:00 Connect MySQL Server Instance 00:06:00 MySQL Workbench overview 00:11:00 Download and Restore Sample Database 00:08:00 Section 03: SQL Database basics Section Introduction 00:01:00 Overview of Databases 00:09:00 Creating Database 00:07:00 SQL Data Types 00:04:00 Column Data Types on Workbench 00:07:00 Creating Table 00:04:00 Overview of Primary and Foreign Key 00:03:00 Primary Key 00:06:00 Foreign Key 00:12:00 Creating Temporary tables 00:12:00 EER - Enhanced Entity Relationship Diagrams 00:04:00 Section 04: SQL DML (Data Manipulation Language) Section Introduction 00:01:00 Insert statement 00:07:00 Update statement 00:06:00 Delete statement 00:03:00 Section 05: SQL DDL (Data Definition Language) Section Introduction 00:01:00 CREATE table statement 00:08:00 DROP statement 00:03:00 ALTER statement 00:05:00 TRUNCATE statement 00:03:00 COMMENT in query 00:02:00 RENAME table 00:03:00 Section 06: SQL DCL (Data Control Language) Create Database user 00:03:00 GRANT permissions 00:06:00 REVOKE permissions 00:04:00 Section 07: SQL Statement Basic Section Introduction 00:01:00 SQL Statement basic 00:03:00 SELECT Statement 00:03:00 SELECT DISTINCT 00:02:00 SELECT with column headings 00:01:00 Column AS statement 00:02:00 DASHBOARD Analytics 00:06:00 Section 08: Filtering Data rows SELECT WHERE Clause - theory 00:03:00 SELECT WHERE Clause - practical 00:06:00 Section 09: Aggregate functions for Data Analysis Sum() 00:06:00 Min()-Max() 00:03:00 Section 10: SQL Data Analyticstatements Order By statement 00:05:00 SELECT TOP 3 records 00:02:00 BETWEEN command 00:06:00 IN operator 00:03:00 Search Data usingLIKE cards 00:05:00 Section 11: SQL Group by statement Section Introduction 00:01:00 Group by - theory 00:04:00 Data Analytics with Group By 00:04:00 HAVING statement 00:03:00 Section 12: JOINS Overview of Joins 00:02:00 What are Joins 00:02:00 Inner join 00:07:00 Left outer join 00:02:00 Right outer join 00:02:00 Union 00:03:00 CERTESIAN Product or Cross Join 00:03:00 Query Exercise 00:01:00 Solution for Query Exercise 00:01:00 Section 13: SQL Constraints Section introduction 00:01:00 Check constraint 00:09:00 NOT NULL constraint 00:03:00 UNIQUE constraint 00:06:00 Section 14: Views Creating Views 00:03:00 Data Analytic Views from multiple tables 00:03:00 Section 15: Advanced SQL Functions Section Introduction 00:01:00 Timestamp 00:03:00 Extract from timestamp 00:03:00 Mathematical scalar functions 00:03:00 String functions3 00:07:00 Advanced functions 00:04:00 Sub Queries 00:03:00 SELECT with calculations 00:05:00 Section 16: SQL Stored procedures Create stored procedure 00:06:00 Stored procedure with parameter 00:03:00 Drop Procedure 00:01:00 Section 17: Import & Export data Section Introduction 00:01:00 Import .csv file 00:04:00 Export Data to .csv file 00:02:00 Section 18: Backup and Restore Database Section Introduction 00:01:00 Creating Database backup 00:02:00 Restoring Database backup 00:02:00