Best Way to Start Learning SQL in 2020
First of all, we are going to start explaining the importance of the big data in this developing world and we will focus on SQL, which is one of the indispensable technologies in this developing data world.
The world is changing day by day and our life becomes more comfortable and easier with the new technologies produced.
With these developments, there is a large increase in the amount of data in the world. Many big data experts agree that the amount of data produced will increase exponentially in the future.
What is SQL
- SQL is an easy language to learn because it has basic standarts.
- SQL queries are portable. This means we can also run SQL queries in other environments.
- SQL should also be written in a certain standard. Therefore, there is no uncertainty.
- Syntax of Creating Database :
- Syntax of Creating a Table :
- UPDATE TableName : used to modify the data already present in the table.
- SELECT : used to select a data from database and store it in a result table .
Now that we know what SQL is and what it will hold in the future, let’s list the best courses for those who want to learn and maybe build a career in this field.
The reason I recommend this course in the first place is that the course is really the best course that I have found among sql courses.
More than 1 million people took this course and the comments and evaluations made by the people who took the course are the reason why I put this course in the first place.
It is a beginner level course that will bring you to a good point in the sql field.
Udemy – SQL For Data Science
Udemy is one of the most well-known places in the entire e learning platform.
The course I recommend here is the Master SQL For Data Science course.
It is suitable for beginners and is approximately 9 hours long.
Coursera – SQL For Data Science
Offered by the University of California, this course is truly one of the best SQL courses.
It is a course suitable for beginners and can be completed in 15 hours.
Coursera – Analyzing Big Data with Sql
- Beginner Level
- It has content that can be completed in 18 hours.
Udemy – The Complete SQL Bootcamp 2020 : Go From Zero to Hero
- Use the major SQL statements
- Construct complex SQL statements using multiple clauses and
- Retrieve, sort, and format database contents
- Pinpoint the data you need using a variety of filtering techniques
- Use aggregate functions to summarize data
- Join two or more related tables
- Insert, update, and delete data
- Create and alter database tables
- Work with views, stored procedures, and more
- Window functions, arguably the most significant enhancement to SQL in the past decade. If you’re not using these, you’re missing out
- Powerful, database-specific features such as SQL Server’s PIVOT and UNPIVOT operators, Oracle’s MODEL clause, and PostgreSQL’s very useful GENERATE_SERIES function
- Pivoting rows into columns, reverse-pivoting columns into rows, using pivoting to facilitate inter-row calculations, and double-pivoting a result set
- Bucketization, and why you should never use that term in Brooklyn.
- How to create histograms, summarize data into buckets, perform aggregations over a moving range of values, generate running-totals and subtotals, and other advanced, data warehousing techniques
- The technique of walking a string, which allows you to use SQL to parse through the characters, words, or delimited elements of a string
The ability to write SQL is one of the most in-demand job skills. Are you prepared?
- Setup instructions for Microsoft SQL Server Express Edition and SQL Server Management Studio (Microsoft Windows required). Both are free downloads.
- A customized practice database, with a video walk-through on setting it up.
- Practice problems – 57 problems that you work through, step-by-step. There are targeted hints if you need them, which help guide you through the question.
- Answers and a short, targeted discussion section on each question, with alternative answers and tips on usage and good programming practice.
- Complex descriptions of syntax. There’s just what you need, and no more.
- The differences between every single SQL variant (MS SQL Server, Oracle, MySQL, etc). The practice problems are set up with Microsoft SQL Server, and the differences are minor and easy to find online.
- Details on Insert, Update and Delete statements. The hardest thing to learn in SQL is how to write Select statements that return complex data. Other components of SQL are relatively easy.
- Explore a variety of statistical techniques to analyze your data
- Integrate your SQL pipelines with other analytics technologies
- Perform advanced analytics such as geospatial and text analysis
What you will learn
- Use SQL to summarize and identify patterns in data
- Apply special SQL clauses and functions to generate descriptive statistics
- Use SQL queries and subqueries to prepare data for analysis
- Perform advanced statistical calculations using the window function
- Analyze special data types in SQL, including geospatial data and time data
- Import and export data using a text file and PostgreSQL
- Debug queries that won’t run
- Optimize queries to improve their performance for faster results
Who this book is for
Table of Contents
- Understanding and Describing Data
- The Basics of SQL for Analytics
- SQL for Data Preparation
- Aggregate Functions for Data Analysis
- Window Functions for Data Analysis
- Importing and Exporting Data
- Analytics Using Complex Data Types
- Performant SQL
- Using SQL to Uncover the Truth – A Case Study
- Build SQL-based relational databases and applications
- Create, load, and modify database objects using SQL
- Construct and execute simple, multitable, and summary queries
- Implement security measures with authentication, privileges, roles, and views
- Handle database optimization, backup, recovery, and replication
- Work with stored procedures, functions, extensions, triggers, and objects
- Extend functionality using APIs, dynamic SQL, and embedded SQL
- Explore advanced topics such as DBMS transactions, locking mechanisms, materialized views, and two-phase commit protocol
- Understand the latest market trends and the future of SQL.