SQL for Data Science, Data Analytics and Data Visualization
SQL for Data Science, Data Analytics and Data Visualization
- Interactive video lectures by industry experts
- Developed by qualified first aid professionals
- Instant e-certificate and hard copy dispatch by next working day
- Fully online, interactive course with audio voiceover
- Self paced learning and laptop, tablet, smartphone friendly
- 24/7 Learning Assistance
- Discounts on bulk purchases
Main Course Features:
- Detailed explanation of SQL syntax and commands for data manipulation and querying
- Hands-on exercises and projects for practical application of SQL concepts
- Exploration of advanced SQL techniques for data analysis and visualization
- Integration of SQL with popular data visualization tools such as Tableau or Power BI
- Real-world case studies and examples showcasing SQL’s applications in data science and analytics
- Access to datasets and resources for practicing SQL queries and analysis
- Supportive online community for collaboration and assistance throughout the course
- Regular updates to keep pace with the latest advancements in SQL and data visualization technologies
Learning Outcomes
- Master SQL fundamentals for data manipulation, querying, and analysis
- Perform complex data analysis tasks using SQL queries and functions
- Create interactive and visually appealing data visualizations with SQL and visualization tools
- Develop advanced SQL skills for data exploration and visualization
- Gain practical experience through hands-on exercises and projects
- Build a portfolio of SQL-based data analysis and visualization projects
- Communicate insights effectively through data visualization techniques
- Stay updated with the latest trends and best practices in SQL and data visualization.
Who Should Take This Course
- Data scientists, analysts, and professionals working with relational databases
- Business analysts and decision-makers seeking to leverage SQL for data-driven insights
- Students and professionals aiming to enhance their skills in data manipulation and analysis
- Anyone interested in learning SQL for data science, analytics, and visualization applications
Certification
Once you’ve successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post . All of our courses are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.
Assessment
At the end of the course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven’t, there’s no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself.
Course Curriculum
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 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
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 Introduction 00:01:00 Overview of Databases 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 Introduction 00:01:00 Insert statement 00:08:00 Update statement 00:05:00 Delete statement 00:03:00
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
Create Database user 00:04:00 GRANT permissions 00:06:00 REVOKE permissions 00:04:00
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
SELECT WHERE Clause – theory 00:04:00 SELECT WHERE Clause – practical 00:07:00
Sum() 00:08:00 Min()-Max() 00:06:00
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 Introduction 00:01:00 Group by – theory 00:03:00 Group by – practical 00:05:00 HAVING statement 00:04:00
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 introduction 00:01:00 Check constraint 00:07:00 NOT NULL constraint 00:08:00 UNIQUE constraint 00:05:00
Creating Views 00:04:00 Reporting with multiple tables 00:03:00
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 v 00:03:00 SELECT with calculations 00:06:00
Create stored procedure 00:05:00 Stored procedure with parameter 00:04:00
Installing SandDance Extension 00:03:00 Visualization Charts 00:05:00 Multiple Table Data Charts 00:06:00
Type Decision for Data Analysis 00:13:00 Data Analysis with Case Statement and String Text 00:09:00
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 Introduction 00:01:00 Creating Database backup 00:04:00 Restoring Database backup 00:04:00
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