SQL or Structured Query Language is one of the easiest programming languages used in data science. SQL is used in databases and is supported by relational databases like MySQL, SQL Server, and Oracle which are used by data scientists frequently.
Aspiring data scientists require to learn about SQL, as it is one of the prime data science skills. SQL for Data Science Courses is used for updating, deleting, and maintaining records in databases. A data scientist with SQL skills earns INR 7,22,421 lakhs a year as per payscale reports.
Online platforms like Udemy, edX, Coursera, etc. have plenty of SQL for Data Science Courses for Beginners and advanced-level learners. They are considered to be good upskill courses in terms of ROI as they cost only INR 1,000 – INR 10,000.
Table of Content
1.1 Important topics in SQL for Data Science
2.1 Coursera
2.2 Udemy
2.3 edX
2.4 GreatLearning
2.5 Analytics Vidhya
Importance of SQL for Data Science
Data Science is among the best-emerging fields which have huge job opportunities and scope. To be a successful data scientist, SQL/Structured Query Language is one of the essential skills and the most important concepts that one must learn.
- Companies’ data are stored in the database, these data are managed and processed with the help of a database management system.
- In processing and working with databases, SQL is the most widely used Programming Language.
- MySQL, SQL Server, Oracle, etc supports numerous Database Systems. However, the implementation of SQL standards is different for different database systems.
- SQL Online Course is used for various operations on data that are stored in the databases including updating records, deleting records, creating, and many more.
- SQL is also used as a key API for relational databases in the current Big Data platforms and is modeled after SQL.
- Big data platforms including Hadoop and Spark use SQL to maintain relational database systems and process structured data.
Important Topics in SQL for Data Science
For working with data for the all-around study, extracting the data from the database is necessary which Best SQL Courses for Beginners provides the options and ability to deal with. A data scientist can perform numerous functions in databases using SQL commands. Here are some of the important topics in SQL for Data Science.
| Topic | Description |
|---|---|
| Group by Clause | It is used in association with the “SELECT” statement for arranging identical data into groups and mostly uses aggregation functions. |
| Aggregation Functions | It is used in performing calculations on a set of values. |
| String Functions and Operations | It is used in various operations including converting string to uppercase, matching a regular expression, and many more. |
| Date & Time Operations | It is used in complicated operations that contain date and time portions. |
| Output Control Statements | It is used for getting the results as per requirements. |
| Various Operators | Operators can be divided into 3 types viz Arithmetic, Logical, and Comparison operators. |
| Joins | It is used for joining multiple tables to get the desired output, and concepts such as types of joins, primary key, foreign key, etc are important. |
| Nested Queries | It is used for returning data that will be used in the main query. |
| Views & Indexing | The index of a database is the same as the index of a book. |
| Temporary Tables | It is used for storing and processing intermediate results with the use of the same selection, update as well as join capabilities. |
| Query Optimizations | IT is used for dealing with larger datasets and is also the most efficient method for an SQL statement for accessing requested data. |
SQL for Data Science Courses
SQL for Data Science Courses are provided by various online platforms such as Coursera, Udemy, edX, Great learning, Analytics Vidhya, etc. These platforms provide courses that cover the required skills to master SQL for Data Science. The sections below will give the list of SQL for Data Courses by these platforms.
SQL for Data Science Coursera
The table below is a list of SQL for Data Science Courses by Coursera. The courses on Coursera provide a free enrollment option for 7 days after which one must pay a monthly subscription fee between INR 1,043 - INR 2,916.
| Course Name | Duration |
|---|---|
| Learn SQL Basics for Data Science Specialization | 4 months (5 hours/ week) |
| Databases and SQL for Data Science with Python | 20 hours |
| SQL for Data Science | 14 hours |
| IBM Data Science Professional Certificate | 11 months (3 hours/ week) |
| Data Science Fundamentals with Python and SQL Specialization | 6 months (4 hours/ week) |
| Introduction to Structured Query Language (SQL) | 16 hours |
| Modern Big Data Analysis with SQL Specialization | 4 months (3 hours/ week) |
| Foundations for Big Data Analysis with SQL | 12 hours |
| Introduction to Relational Database and SQL | 1 hour |
| SQL for Data Science with R | 16 hours |
Also Check:
SQL for Data Science Udemy
Udemy offers a 30-day money-back guarantee for Udemy SQL for data science courses. The table below is a list of top udemy SQL for data science courses along with their fees.
| Course Name | Duration | Fees (INR) |
|---|---|---|
| Master SQL For Data Science | 9.5 hours | INR 3,499 |
| SQL Masterclass: SQL for Data Analytics | 8 hours | INR 1,920 |
| SQL for Data Analysis and Data Science | 5.5 hours | INR 1,280 |
| SQL for Data Science Oracle, MySQL, R, and Python | 4.5 hours | INR 3,499 |
| SQL for Data Analytics | 3.5 hours | INR 3,499 |
| SQL for Data Analysis: Core Data Scientist’s Skills | 2 hours | Free |
| SQL for Data Analysis - with SQL Server | 5.5 hours | INR 2,880 |
| Applied SQL For Data Analytics / Data Science With BigQuery | 10.5 hours | INR 1,920 |
| Structured Query Language (SQL) for Data Science | 3.5 hours | INR 3,499 |
| Using SQL for Data Science | 4 hours | INR 3,499 |
| SQL For Data Science With Google Big Query | 7 hours | INR 3,499 |
Also Check:
SQL for Data Science EdX
The table below is a list of SQL for Data Science Courses by edX along with their duration and fees.
| Course Name | Duration | Fees (INR) |
|---|---|---|
| SQL for Data Science | 4 weeks (2 - 4 hours/ week) | INR 7,386 |
| SQL for Data Science with R | 6 weeks (2 - 3 hours/ week) | INR 7,386 |
| Professional Certificate in IBM Data Science | 1 year (3 - 6 hours/ week) | INR 65,133 |
| MicroBachelors Program in Data Management with Python and SQL | 8 months (8 - 10 hours/ week) | INR 74,309 |
| Data Analysis Essentials | 6 weeks (4 - 6 hours/ week) | INR 5,894 |
| MicroMasters Program in Data Science | 10 months (9 - 11 hours/ week) | INR 94,006 |
| Professional Certificate in Data Analysis for Life Sciences | 4 months (2 - 4 hours/ week) | INR 40,020 |
Also Check: edX Digital Marketing Courses
SQL for Data Science Great learning
Here is a list of SQL for Data Science Courses by Great learning along with their details. The courses on Great learning are free along with certifications.
| Course Name | Duration |
|---|---|
| SQL for Data Science | 3 hours |
| My SQL Basics | 2 hours |
| Introduction to SQL | 1 hour |
| Analytics with SQL and Python | 1.5 hours |
| Library Database Management System using SQL | 1 hour |
| Build a Bank Database using SQL | 1 hour |
| SQL with Python | 1 hour |
SQL for Data Science Analytics Vidhya
Analytics Vidhya provides SQL for Data Science Courses online. Given below is a list of courses by Analytics Vidhya.
| Course Name | Duration | Fees (INR) |
|---|---|---|
| Structured Query Language (SQL) for Data Science | - | INR 1,499 |
| Structured Query Language (SQL) for Data Science (Initiate AI) | - | INR 1,499 |
| Data Science Immersive Bootcamp | 7 months | INR 2,25,000 + GST |
All About Data Science:
SQL Practice Platform
In order to implement the theoretical knowledge of SQL for data science, you also need to practice SQL in some genuine platforms where there are ample real-life projects and practical examples to practice SQL.
Here are the top SQL practice platforms:
| SQL Fiddle | SQLZOO |
| Oracle LiveSQL | W3resource |
| Stack Overflow | DB-Fiddle |
| GitHub | Coding Ground |
| Testdome | Data.gov |
| HackerRank | SQL Bolt |
SQL for Data Science Books
To learn about the theory of SQL for Data Science there are many top-rated books that are curated by industry experts. The top SQL for data science books are:
- SQL Cookbook: Query Solutions and Techniques for Database Developers
- Head First SQL: Your Brain on SQL -- A Learner's Guide
- SQL Pocket Guide: A Guide to SQL Usage
The table below lists popular SQL for data science books recommended by data scientists and industry experts all across the globe:
| Book | Author |
|---|---|
| SQL Cookbook: Query Solutions and Techniques for Database Developers | Anthony Molinaro & Robert de Graaf |
| Head First SQL: Your Brain on SQL: A Learner's Guide | Lynn Beighley |
| SQL Pocket Guide: A Guide to SQL Usage | Jonathan Gennick |
| SQL Queries for Mere Mortals: A Hands-On Guide to Data Manipulation in SQL | John L. Viescas |
| Learning SQL: Generate, Manipulate, and Retrieve Data | Alan Beaulieu |
| SQL for Data Analytics: Perform Fast and Efficient Data Analysis with the Power of SQL | Matt Goldwasser |
| Practical SQL: A Beginner's Guide to Storytelling with Data | Anthony DeBarros |
SQL for Data Science: FAQs
Ques. Is SQL needed to be a data scientist?
Ans. Yes, SQL is needed to be a data scientist. In fact, SQL is a must-skill if you want to be successful as it is used for various operations on data that are stored in the databases including updating, deleting, creating records, and many more.
Ques. Which SQL is used in data science?
Ans. SQL is important in the way that one can connect to SQL with the help of Python as well. Some of the most popular SQL used in Data Science are: Microsoft SQL Server, Oracle, MySQL, Postgres SQL, and DB2.
Ques. Should I learn SQL or MySQL for data science?
Ans. SQL or Structured Query Language is a language while MySQL is an open-source relational database meaning it is a platform. So, you should definitely learn SQL and later learn how to apply to various relational database management systems using MySQL.
Ques. Where can I learn SQL for Data Science?
Ans. You can learn SQL for Data Science on various online platforms such as Coursera, Udemy, edX, Great learning, etc. These platforms provide the necessary skills and expertise necessary to be successful in a Data Science career.
Ques. How do I start learning SQL for data science?
Ans. You can start learning SQL for Data Science through various courses provides by various reputed Institutions and platforms. Some such courses include: Learn SQL Basics for Data Science Specialization, Databases, and SQL for Data Science with Python, SQL for Data Science, IBM Data Science Professional Certificate, Master SQL For Data Science, SQL Masterclass: SQL for Data Analytics, SQL for Data Science, My SQL Basics, and Data Science Immersive Bootcamp.
Ques. Is there any online SQL query practice platform with inbuilt databases?
Ans. Yes, there are many platforms to practice SQL, some of which include; SQL Fiddle, SQLZOO, Oracle LiveSQL, W3resource, Stack Overflow, DB-Fiddle, etc.
Ques. How SQL is used in data science?
Ans. For extracting the data from the database is necessary, SQL provides the options and ability to deal with these problems. Moreover, a Data Scientist can perform numerous functions in databases using numerous SQL commands. They are used for various operations on data including updating records, deleting records, creating, and many more.
Ques. What is the best way to learn SQL for data science?
Ans. The best way to learn SQL is to join a course in SQL for Data Science. After which, you can gain experience using SQL and its applications on various platforms such as SQL Fiddle, SQLZOO, Oracle LiveSQL, W3resource, etc.
Ques. Which SQL should I learn for data science?
Ans. You must first learn and master the SQL language. Afterward, you can learn MS SQL/ MYSQL/ Oracle SQL as they are the most widely used SQL in the field of Data Science.
Ques. Is it true that SQL is the most important skill for a data scientist?
Ans. Yes, SQL is an important skill for a data scientist. It is the base of many relational database management systems, key APIs, and more. You should know that Data Scientists are able to perform numerous functions in databases easily with the help of SQL commands.
Comments