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This comprehensive course, 'SQL for Data Science, Data Analytics, and Data Visualization,' covers essential SQL concepts and tools for working with data. Participants will learn to manipulate, analyze, and visualize data using SQL Server, Azure Data Studio, and other relevant tools. The course also delves into advanced SQL commands, stored procedures, and data import/export, making it ideal for aspiring data professionals. Learning Outcomes: Set up and configure SQL Server and SQL Azure Data Studio for data analysis. Master SQL statements for data manipulation, data structure, and user management. Utilize SQL queries, joins, and aggregate functions for efficient data analysis. Understand SQL constraints, views, and advanced commands for in-depth data exploration. Create and implement SQL stored procedures to automate tasks. Leverage Azure Data Studio for data visualization and perform data analysis with SQL. Why buy this SQL for Data Science, Data Analytics and Data Visualization? 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 SQL for Data Science, Data Analytics and Data Visualization 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 SQL for Data Science, Data Analytics and Data Visualization 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 SQL for Data Science, Data Analytics and Data Visualization does not require you to have any prior qualifications or experience. You can just enrol and start learning.This SQL for Data Science, Data Analytics and Data Visualization 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 SQL for Data Science, Data Analytics and Data Visualization is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Getting Started Introduction 00:03:00 How to get course requirements 00:03:00 Getting started on Windows, Linux or Docker 00:01:00 How to ask great questions 00:01:00 FAQ's 00:01:00 Section 02: SQL Server setting up Section Introduction 00:02:00 Microsoft SQL Server Installation 00:19:00 SQL Server Management Studio (SSMS) Installation 00:08:00 How to connect MS SQL (Windows Authentication) 00:04:00 How to connect MS SQL (SQL Server Authentication) 00:03:00 Download and Restore Sample Database 00:07:00 Section 03: SQL Azure Data Studio What is Azure Data Studio 00:06:00 Azure Data Studio Installation steps 00:07:00 Azure Data Studio to Connect SQL Server 00:09:00 Create a Database 00:07:00 Create a Table 00:09:00 Insert Data rows 00:07:00 View the Data returned by Query 00:03:00 Section 04: SQL Database basic SSMS Section Introduction 00:01:00 Overview of Databases8 00:11:00 Creating Database 00:05:00 SQL Data Types 00:03:00 Column Data Types on SSMS 00:04:00 Creating Table 00:09:00 Overview of Primary Key and Foreign Key 00:04:00 Primary Key 00:04:00 Foreign Key 00:07:00 Creating Temporary tables 00:06:00 Section 05: SQL Statements for DATA Section Introduction 00:01:00 Insert statement 00:08:00 Update statement 00:05:00 Delete statement 00:03:00 Section 06: SQL Data Structure statements Section Introduction 00:01:00 CREATE table statement 00:03:00 DROP statement 00:02:00 ALTER statement 00:05:00 TRUNCATE statement 00:04:00 COMMENT in query 00:01:00 RENAME 00:02:00 Section 07: SQL User Management Create Database user 00:04:00 GRANT permissions 00:06:00 REVOKE permissions 00:04:00 Section 08: SQL Statement Basic Section Introduction 00:01:00 SQL Statement basic 00:03:00 SELECT Statement 00:07:00 SELECT DISTINCT 00:03:00 SELECT with column headings 00:03:00 Column AS statement 00:02:00 Section 09: Filtering Data rows SELECT WHERE Clause - theory 00:04:00 SELECT WHERE Clause - practical 00:07:00 Section 10: Aggregate functions Sum() 00:08:00 Min()-Max() 00:06:00 Section 11: SQL Query statements Order By statement 00:05:00 SELECT TOP clause in SQL 00:04:00 BETWEEN command 00:08:00 IN operator 00:04:00 Wildcard Characters and LIKE 00:05:00 Section 12: SQL Group by statement Section Introduction 00:01:00 Group by - theory8 00:03:00 Group by - practical 00:05:00 HAVING statement 00:04:00 Section 13: JOINS for Multiple table Data Analysis Overview of Joins 00:02:00 What are Joins 00:02:00 Inner join 00:08:00 Left outer join 00:03:00 Right outer join 00:02:00 Full outer join 00:01:00 Union 00:03:00 Cartesian Product with the Cross Join 00:03:00 Query Exercise 00:01:00 Solution for Query Exercise 00:01:00 Section 14: SQL Constraints Section introduction 00:01:00 Check constraint 00:07:00 NOT NULL constraint 00:08:00 UNIQUE constraint 00:05:00 Section 15: Views Creating Views 00:04:00 Reporting with multiple tables 00:03:00 Section 16: Advanced SQL commands Section Introduction 00:01:00 Timestamp 00:04:00 Extract from timestamp 00:03:00 Mathematical scalar functions 00:04:00 String functions 00:05:00 Sub Query 00:03:00 SELECT with calculations 00:06:00 Section 17: SQL Stored procedures Create stored procedure 00:05:00 Stored procedure with parameter 00:04:00 Section 18: Azure Data Studio Visualization Installing SandDance Extension 00:03:00 Visualization Charts 00:05:00 Multiple Table Data Charts 00:06:00 Section 19: Azure Studio SQL for Data Analysis Type Decision for Data Analysis 00:13:00 Data Analysis with Case Statement and String Text 00:09:00 Section 20: Import & Export data Section Introduction 00:01:00 Import Flat File 00:05:00 Import .csv or excel file 00:03:00 Export Data to Excel or any format 00:06:00 Section 21: Backup and Restore Database Section Introduction 00:01:00 Creating Database backup 00:04:00 Restoring Database backup 00:04:00

This is an introductory course on machine learning. The course covers a wide range of topics, from handling a dataset to model delivery. Some prior training in Python programming and basic calculus knowledge will help you get the best out of this course.

Data speaks volumes—if you know how to listen. This course offers a clever route into the world of MySQL, showing you how structured data can turn into smart decisions. Whether you're sifting through figures, building dashboards, or deciphering patterns, understanding SQL isn’t just helpful—it’s essential. You’ll be guided through the foundations of MySQL with clarity and precision, making sense of tables, queries, joins, and more—all without the fluff or confusion. Designed with the analytical mind in focus, this course shines a light on how MySQL powers insights behind the scenes in data science and analytics. It's tailored for learners who prefer clarity over jargon and structure over noise. If you're curious about how databases work and how data fuels smart outcomes, this course is your ideal stepping stone—organised, engaging and purposefully built for those who appreciate logic and clean learning paths. Expert Support Dedicated tutor support and 24/7 customer support are available to all students with this premium quality course. Key Benefits Learning materials of the Design course contain engaging voiceover and visual elements for your comfort. Get 24/7 access to all content for a full year. Each of our students gets full tutor support on weekdays (Monday to Friday) Course Curriculum: Section 01: Getting Started Introduction How to get course requirements Getting started on Windows, Linux or Mac How to ask great questions FAQ's What is Source Code? Section 02: SQL Server setting up Section Introduction MySQL Server Installation Connect MySQL Server Instance MySQL Workbench overview Download and Restore Sample Database Section 03: SQL Database basics Section Introduction Overview of Databases Creating Database SQL Data Types Column Data Types on Workbench Creating Table Overview of Primary and Foreign Key Primary Key Foreign Key Creating Temporary tables EER - Enhanced Entity Relationship Diagrams Section 04: SQL DML (Data Manipulation Language) Section Introduction Insert statement Update statement Delete statement Section 05: SQL DDL (Data Definition Language) Section Introduction CREATE table statement DROP statement ALTER statement TRUNCATE statement COMMENT in query RENAME table Section 06: SQL DCL (Data Control Language) Create Database user GRANT permissions REVOKE permissions Section 07: SQL Statement Basic Section Introduction SQL Statement basic SELECT Statement SELECT DISTINCT SELECT with column headings Column AS statement DASHBOARD Analytics Section 08: Filtering Data rows SELECT WHERE Clause - theory SELECT WHERE Clause - practical Section 09: Aggregate functions for Data Analysis Sum() Min()-Max() Section 10: SQL Data Analyticstatements Order By statement SELECT TOP 3 records BETWEEN command IN operator Search Data usingLIKE cards Section 11: SQL Group by statement Section Introduction Group by - theory Data Analytics with Group By HAVING statement Section 12: JOINS Overview of Joins What are Joins Inner join Left outer join Right outer join Union CERTESIAN Product or Cross Join Query Exercise Solution for Query Exercise Section 13: SQL Constraints Section introduction Check constraint NOT NULL constraint UNIQUE constraint Section 14: Views Creating Views Data Analytic Viewsfrom multiple tables Section 15: Advanced SQL Functions Section Introduction Timestamp Extract from timestamp Mathematical scalar functions String functions Advanced functions Sub Queries SELECT with calculations Section 16: SQL Stored procedures Create stored procedure Stored procedure with parameter Drop Procedure Section 17: Import & Export data Section Introduction Import .csv file Export Data to .csv file Section 18: Backup and Restore Database Section Introduction Creating Database backup Restoring Database backup Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). Who is this course for? This Learn MySQL from Scratch for Data Science and Analytics course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge. Requirements This Learn MySQL from Scratch for Data Science and Analytics course is open to all, with no formal entry requirements. Career path Upon successful completion of The Learn MySQL from Scratch for Data Science and Analytics Course, learners will be equipped with many indispensable skills and have the opportunity to grab.

A comprehensive package for beginners to learn how to automate social media applications such as WhatsApp, YouTube, and Facebook from scratch using Python. The course will help you understand the impact of social media automation in real-world applications and provide a unique hands-on experience in developing different real-time exciting projects.

Discover the power of data science and machine learning with Python! Learn essential techniques, algorithms, and tools to analyze data, build predictive models, and unlock insights. Dive into hands-on projects, from data manipulation to advanced machine learning applications. Elevate your skills and unleash the potential of Python for data-driven decision-making.

In this course, you will learn the fundamentals of data visualization in Python using the well-known Matplotlib and Seaborn data science libraries and perform exploratory data analysis (EDA) by visualizing a data set using a variety of charts.

All about containers, Docker, and Kubernetes for Python engineers.

The underlying patterns in your data hold vital insights; unearth them with cutting-edge clustering and classification techniques in R

Data scraping is used to get the data available on different websites and APIs. This also involves automating the web flows to extract the data from different web pages. Data Scraping and Data Mining with Python is a well-designed course for beginners to develop a solid groundwork for the skills necessary.

Whether you work in machine learning or finance or are pursuing a career in web development or data science, Python is one of the most important skills you can learn. Python's simple syntax suits desktop, web, and business applications. Python's design philosophy emphasizes readability and usability. The average python developer salary in the United Kingdom is £55,000 per year or £28.21 per hour. Entry-level positions start at £42,500 per year, while most experienced workers make up to £77,500 per year. So enrol in this Python Coding Specialist (PCS) bundle and become a specialist. Along with this Python course, you will get 10 premium courses, an original hardcopy, 11 PDF Certificates (Main Course + Additional Courses) Student ID card as gifts. This Python Coding Specialist (PCS) Bundle Consists of the following Premium courses: Course 01: Python Programming for Everybody Course 02: Data Science with Python Course 03: Machine Learning with Python Course 04: Learn to Use Python for Spatial Analysis in ArcGIS Course 05: Higher Order Functions in Python - Level 03 Course 06: Introduction to Data Analysis Course 07: Data Structures Complete Course Course 08: Basic Google Data Studio Course 09: Business Intelligence and Data Mining Masterclass Course 10: Cyber Security Incident Handling and Incident Response Course 11: Decision Making and Critical Thinking Enrol now in Python Coding Specialist (PCS) to advance your career, and use the premium study materials from Apex Learning. Python Coding Specialist (PCS) The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Python Coding Specialist (PCS) expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes. Course Curriculum : Module 01 A Installing Python Documentation Command Line Variables Simple Python Syntax Keywords Import Module Module 02 Additional Topics If Elif Else Iterable For Loops Execute Exceptions Module 03 Module 04 Module 05 Certificate: PDF Certificate: Free (Previously it was £6*11 = £66) Hard Copy Certificate: Free (For The Title Course: Previously it was £10) CPD 110 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Python Coding Specialist (PCS) Anyone from any background can enrol in this Python Coding Specialist (PCS) bundle. Requirements Python Coding Specialist (PCS) This Python Coding Specialist (PCS) course has been designed to be fully compatible with tablets and smartphones. Career path Python Coding Specialist (PCS) Having this expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Python Programming for Everybody) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.