- Blog Categories
- Software Development Projects and Ideas
- 12 Computer Science Project Ideas
- 28 Beginner Software Projects
- Top 10 Engineering Project Ideas
- Top 10 Easy Final Year Projects
- Top 10 Mini Projects for Engineers
- 25 Best Django Project Ideas
- Top 20 MERN Stack Project Ideas
- Top 12 Real Time Projects
- Top 6 Major CSE Projects
- 12 Robotics Projects for All Levels
- Java Programming Concepts
- Abstract Class in Java and Methods
- Constructor Overloading in Java
- StringBuffer vs StringBuilder
- Java Identifiers: Syntax & Examples
- Types of Variables in Java Explained
- Composition in Java: Examples
- Append in Java: Implementation
- Loose Coupling vs Tight Coupling
- Integrity Constraints in DBMS
- Different Types of Operators Explained
- Career and Interview Preparation in IT
- Top 14 IT Courses for Jobs
- Top 20 Highest Paying Languages
- 23 Top CS Interview Q&A
- Best IT Jobs without Coding
- Software Engineer Salary in India
- 44 Agile Methodology Interview Q&A
- 10 Software Engineering Challenges
- Top 15 Tech's Daily Life Impact
- 10 Best Backends for React
- Cloud Computing Reference Models
- Web Development and Security
- Find Installed NPM Version
- Install Specific NPM Package Version
- Make API Calls in Angular
- Install Bootstrap in Angular
- Use Axios in React: Guide
- StrictMode in React: Usage
- 75 Cyber Security Research Topics
- Top 7 Languages for Ethical Hacking
- Top 20 Docker Commands
- Advantages of OOP
- Data Science Projects and Applications
- 42 Python Project Ideas for Beginners
- 13 Data Science Project Ideas
- 13 Data Structure Project Ideas
- 12 Real-World Python Applications
- Python Banking Project
- Data Science Course Eligibility
- Association Rule Mining Overview
- Cluster Analysis in Data Mining
- Classification in Data Mining
- KDD Process in Data Mining
- Data Structures and Algorithms
- Binary Tree Types Explained
- Binary Search Algorithm
- Sorting in Data Structure
- Binary Tree in Data Structure
- Binary Tree vs Binary Search Tree
- Recursion in Data Structure
- Data Structure Search Methods: Explained
- Binary Tree Interview Q&A
- Linear vs Binary Search
- Priority Queue Overview
- Python Programming and Tools
- Top 30 Python Pattern Programs
- List vs Tuple
- Python Free Online Course
- Method Overriding in Python
- Top 21 Python Developer Skills
- Reverse a Number in Python
- Switch Case Functions in Python
- Info Retrieval System Overview
- Reverse a Number in Python
- Real-World Python Applications
- Data Science Careers and Comparisons
- Data Analyst Salary in India
- Data Scientist Salary in India
- Free Excel Certification Course
- Actuary Salary in India
- Data Analyst Interview Guide
- Pandas Interview Guide
- Tableau Filters Explained
- Data Mining Techniques Overview
- Data Analytics Lifecycle Phases
- Data Science Vs Analytics Comparison
- Artificial Intelligence and Machine Learning Projects
- Exciting IoT Project Ideas
- 16 Exciting AI Project Ideas
- 45+ Interesting ML Project Ideas
- Exciting Deep Learning Projects
- 12 Intriguing Linear Regression Projects
- 13 Neural Network Projects
- 5 Exciting Image Processing Projects
- Top 8 Thrilling AWS Projects
- 12 Engaging AI Projects in Python
- NLP Projects for Beginners
- Concepts and Algorithms in AIML
- Basic CNN Architecture Explained
- 6 Types of Regression Models
- Data Preprocessing Steps
- Bagging vs Boosting in ML
- Multinomial Naive Bayes Overview
- Gini Index for Decision Trees
- Bayesian Network Example
- Bayes Theorem Guide
- Top 10 Dimensionality Reduction Techniques
- Neural Network Step-by-Step Guide
- Technical Guides and Comparisons
- Make a Chatbot in Python
- Compute Square Roots in Python
- Permutation vs Combination
- Image Segmentation Techniques
- Generative AI vs Traditional AI
- AI vs Human Intelligence
- Random Forest vs Decision Tree
- Neural Network Overview
- Perceptron Learning Algorithm
- Selection Sort Algorithm
- Career and Practical Applications in AIML
- AI Salary in India Overview
- Biological Neural Network Basics
- Top 10 AI Challenges
- Production System in AI
- Top 8 Raspberry Pi Alternatives
- Top 8 Open Source Projects
- 14 Raspberry Pi Project Ideas
- 15 MATLAB Project Ideas
- Top 10 Python NLP Libraries
- Naive Bayes Explained
- Digital Marketing Projects and Strategies
- 10 Best Digital Marketing Projects
- 17 Fun Social Media Projects
- Top 6 SEO Project Ideas
- Digital Marketing Case Studies
- Coca-Cola Marketing Strategy
- Nestle Marketing Strategy Analysis
- Zomato Marketing Strategy
- Monetize Instagram Guide
- Become a Successful Instagram Influencer
- 8 Best Lead Generation Techniques
- Digital Marketing Careers and Salaries
- Digital Marketing Salary in India
- Top 10 Highest Paying Marketing Jobs
- Highest Paying Digital Marketing Jobs
- SEO Salary in India
- Brand Manager Salary in India
- Content Writer Salary Guide
- Digital Marketing Executive Roles
- Career in Digital Marketing Guide
- Future of Digital Marketing
- MBA in Digital Marketing Overview
- Digital Marketing Techniques and Channels
- 9 Types of Digital Marketing Channels
- Top 10 Benefits of Marketing Branding
- 100 Best YouTube Channel Ideas
- YouTube Earnings in India
- 7 Reasons to Study Digital Marketing
- Top 10 Digital Marketing Objectives
- 10 Best Digital Marketing Blogs
- Top 5 Industries Using Digital Marketing
- Growth of Digital Marketing in India
- Top Career Options in Marketing
- Interview Preparation and Skills
- 73 Google Analytics Interview Q&A
- 56 Social Media Marketing Q&A
- 78 Google AdWords Interview Q&A
- Top 133 SEO Interview Q&A
- 27+ Digital Marketing Q&A
- Digital Marketing Free Course
- Top 9 Skills for PPC Analysts
- Movies with Successful Social Media Campaigns
- Marketing Communication Steps
- Top 10 Reasons to Be an Affiliate Marketer
- Career Options and Paths
- Top 25 Highest Paying Jobs India
- Top 25 Highest Paying Jobs World
- Top 10 Highest Paid Commerce Job
- Career Options After 12th Arts
- Top 7 Commerce Courses Without Maths
- Top 7 Career Options After PCB
- Best Career Options for Commerce
- Career Options After 12th CS
- Top 10 Career Options After 10th
- 8 Best Career Options After BA
- Projects and Academic Pursuits
- 17 Exciting Final Year Projects
- Top 12 Commerce Project Topics
- Top 13 BCA Project Ideas
- Career Options After 12th Science
- Top 15 CS Jobs in India
- 12 Best Career Options After M.Com
- 9 Best Career Options After B.Sc
- 7 Best Career Options After BCA
- 22 Best Career Options After MCA
- 16 Top Career Options After CE
- Courses and Certifications
- 10 Best Job-Oriented Courses
- Best Online Computer Courses
- Top 15 Trending Online Courses
- Top 19 High Salary Certificate Courses
- 21 Best Programming Courses for Jobs
- What is SGPA? Convert to CGPA
- GPA to Percentage Calculator
- Highest Salary Engineering Stream
- 15 Top Career Options After Engineering
- 6 Top Career Options After BBA
- Job Market and Interview Preparation
- Why Should You Be Hired: 5 Answers
- Top 10 Future Career Options
- Top 15 Highest Paid IT Jobs India
- 5 Common Guesstimate Interview Q&A
- Average CEO Salary: Top Paid CEOs
- Career Options in Political Science
- Top 15 Highest Paying Non-IT Jobs
- Cover Letter Examples for Jobs
- Top 5 Highest Paying Freelance Jobs
- Top 10 Highest Paying Companies India
- Career Options and Paths After MBA
- 20 Best Careers After B.Com
- Career Options After MBA Marketing
- Top 14 Careers After MBA In HR
- Top 10 Highest Paying HR Jobs India
- How to Become an Investment Banker
- Career Options After MBA - High Paying
- Scope of MBA in Operations Management
- Best MBA for Working Professionals India
- MBA After BA - Is It Right For You?
- Best Online MBA Courses India
- MBA Project Ideas and Topics
- 11 Exciting MBA HR Project Ideas
- Top 15 MBA Project Ideas
- 18 Exciting MBA Marketing Projects
- MBA Project Ideas: Consumer Behavior
- What is Brand Management?
- What is Holistic Marketing?
- What is Green Marketing?
- Intro to Organizational Behavior Model
- Tech Skills Every MBA Should Learn
- Most Demanding Short Term Courses MBA
- MBA Salary, Resume, and Skills
- MBA Salary in India
- HR Salary in India
- Investment Banker Salary India
- MBA Resume Samples
- Sample SOP for MBA
- Sample SOP for Internship
- 7 Ways MBA Helps Your Career
- Must-have Skills in Sales Career
- 8 Skills MBA Helps You Improve
- Top 20+ SAP FICO Interview Q&A
- MBA Specializations and Comparative Guides
- Why MBA After B.Tech? 5 Reasons
- How to Answer 'Why MBA After Engineering?'
- Why MBA in Finance
- MBA After BSc: 10 Reasons
- Which MBA Specialization to choose?
- Top 10 MBA Specializations
- MBA vs Masters: Which to Choose?
- Benefits of MBA After CA
- 5 Steps to Management Consultant
- 37 Must-Read HR Interview Q&A
- Fundamentals and Theories of Management
- What is Management? Objectives & Functions
- Nature and Scope of Management
- Decision Making in Management
- Management Process: Definition & Functions
- Importance of Management
- What are Motivation Theories?
- Tools of Financial Statement Analysis
- Negotiation Skills: Definition & Benefits
- Career Development in HRM
- Top 20 Must-Have HRM Policies
- Project and Supply Chain Management
- Top 20 Project Management Case Studies
- 10 Innovative Supply Chain Projects
- Latest Management Project Topics
- 10 Project Management Project Ideas
- 6 Types of Supply Chain Models
- Top 10 Advantages of SCM
- Top 10 Supply Chain Books
- What is Project Description?
- Top 10 Project Management Companies
- Best Project Management Courses Online
- Salaries and Career Paths in Management
- Project Manager Salary in India
- Average Product Manager Salary India
- Supply Chain Management Salary India
- Salary After BBA in India
- PGDM Salary in India
- Top 7 Career Options in Management
- CSPO Certification Cost
- Why Choose Product Management?
- Product Management in Pharma
- Product Design in Operations Management
- Industry-Specific Management and Case Studies
- Amazon Business Case Study
- Service Delivery Manager Job
- Product Management Examples
- Product Management in Automobiles
- Product Management in Banking
- Sample SOP for Business Management
- Video Game Design Components
- Top 5 Business Courses India
- Free Management Online Course
- SCM Interview Q&A
- Fundamentals and Types of Law
- Acceptance in Contract Law
- Offer in Contract Law
- 9 Types of Evidence
- Types of Law in India
- Introduction to Contract Law
- Negotiable Instrument Act
- Corporate Tax Basics
- Intellectual Property Law
- Workmen Compensation Explained
- Lawyer vs Advocate Difference
- Law Education and Courses
- LLM Subjects & Syllabus
- Corporate Law Subjects
- LLM Course Duration
- Top 10 Online LLM Courses
- Online LLM Degree
- Step-by-Step Guide to Studying Law
- Top 5 Law Books to Read
- Why Legal Studies?
- Pursuing a Career in Law
- How to Become Lawyer in India
- Career Options and Salaries in Law
- Career Options in Law India
- Corporate Lawyer Salary India
- How To Become a Corporate Lawyer
- Career in Law: Starting, Salary
- Career Opportunities: Corporate Law
- Business Lawyer: Role & Salary Info
- Average Lawyer Salary India
- Top Career Options for Lawyers
- Types of Lawyers in India
- Steps to Become SC Lawyer in India
- Tutorials
- C Tutorials
- Recursion in C: Fibonacci Series
- Checking String Palindromes in C
- Prime Number Program in C
- Implementing Square Root in C
- Matrix Multiplication in C
- Understanding Double Data Type
- Factorial of a Number in C
- Structure of a C Program
- Building a Calculator Program in C
- Compiling C Programs on Linux
- Java Tutorials
- Handling String Input in Java
- Determining Even and Odd Numbers
- Prime Number Checker
- Sorting a String
- User-Defined Exceptions
- Understanding the Thread Life Cycle
- Swapping Two Numbers
- Using Final Classes
- Area of a Triangle
- Skills
- Software Engineering
- JavaScript
- Data Structure
- React.js
- Core Java
- Node.js
- Blockchain
- SQL
- Full stack development
- Devops
- NFT
- BigData
- Cyber Security
- Cloud Computing
- Database Design with MySQL
- Cryptocurrency
- Python
- Digital Marketings
- Advertising
- Influencer Marketing
- Search Engine Optimization
- Performance Marketing
- Search Engine Marketing
- Email Marketing
- Content Marketing
- Social Media Marketing
- Display Advertising
- Marketing Analytics
- Web Analytics
- Affiliate Marketing
- MBA
- MBA in Finance
- MBA in HR
- MBA in Marketing
- MBA in Business Analytics
- MBA in Operations Management
- MBA in International Business
- MBA in Information Technology
- MBA in Healthcare Management
- MBA In General Management
- MBA in Agriculture
- MBA in Supply Chain Management
- MBA in Entrepreneurship
- MBA in Project Management
- Management Program
- Consumer Behaviour
- Supply Chain Management
- Financial Analytics
- Introduction to Fintech
- Introduction to HR Analytics
- Fundamentals of Communication
- Art of Effective Communication
- Introduction to Research Methodology
- Mastering Sales Technique
- Business Communication
- Fundamentals of Journalism
- Economics Masterclass
- Free Courses
SQL for Data Science: Why SQL, List of Benefits & Commands
Updated on 24 November, 2022
7.04K+ views
• 8 min read
Table of Contents
Introduction to Data Science
Data today is the crux of every single process, from businesses to process flows. Each day large measures of structured and unstructured data are produced. Data Science enters the field here. It is a multi-disciplinary domain that includes statistical and mathematical functions to reason every single piece of information.
The data in hand is from several sub-domains, each relating to a broader set of problem areas and functions. This data, although available, needs to be solved to interpret what it implies. Data science penetrates the problem areas for business by obtaining them in the first place. The methods in the process include detecting the untapped difficulty areas and then finding solutions to the ones that will help improve the business.
By deriving all the knowledgeable insights from the data available, you can find solutions to critical problems and help advance your business. It covers Artificial Intelligence, Machine Learning as well as Natural Programming.
Learn data science courses from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs, or Masters Programs to fast-track your career.
What is SQL?
SQL is a querying language that aims to manage a relational database. Relational databases are a compilation of structured tables from which data can be retrieved, modified, and restructured. The functionality of relational databases that allows users not necessarily to alter the tables in the databases is proven advantageous. SQL is one of the important technical skill to have if you want to master data science.
SQL is a standard API for the relational databases. The programming in SQL is helpful in a wide array of activities that include questioning, including updating and eliminating data. All of which form the critical steps to the final analysis results in the data science purpose. Its numerous data types cover integers and floating points of varied kinds and accuracies.
SQL is hence deployed usefully to manipulate and analyze the data in specific methods aiming to derive useful results. Examples of databases that use SQL include MySQL, Oracle, SQLite, etc. Learn more how SQL is a must tool for Big data engineers.
Why is SQL needed for data science?
The concept underlying data science is the uprooting, processing, and interpretation of the massive amount of data produced. The following step is to procure useful insights from it. The need of the hour is tools to use to store and manage this substantial, comprehensive measure of data.
This is where SQL comes in. SQL or Structured Query Language is a querying language. As a computer programming language, it is applied to collect, manage, and recover the data that is stored in the database. It is used to perform a lot of querying operations, research developments, extractions, editing, and transforming the data.
Read: Top 9 Data Science Tools in 2020
For the accurate processing of data, we require a smooth management system to design the individual steps in handling and a language that will allow us to present the methods that we need while working with our data.
Must Read: SQL Interview Questions.
Which attributes favour SQL for Data Science?
Several characteristics of SQL make it suitable for the detailed interpretation and analysis purpose after data extraction in data science. The different attributes of SQL for data science include:
1. It is an easy tool with a set of commands and data types which once understood, become seamless to operate. The primary objective is to extract data from larger chunks of files from the database. MySQL is recognized as one of the most basic and understandable languages used in querying language to communicate the best with the data repository.
2. Apart from the ease of functioning, the SQL platform provides security to your data. MySQL has a robust data security layer that takes the delicacy and confidentiality of your data into account. The password encryption feature of the SQL platform makes it protected and blocks invasion of all kinds.
3. MySQL is an open-source type that allows you to download the application free of cost from anywhere, only by visiting their official website. The download gets completed in a few minutes by speed offered.
4. Massive capacity to handle data. SQL databases are repositories that can hold millions of rows and columns of data in them.
5. MySQL trails a client-server architecture. In this, MySQL acts as a database, and the various applications function as clients, which will then communicate with the server. In the communication channel, data is shared, changes are saved and updated as well.
6. SQL platforms are agreeable with almost every operating system. Simple to run on Windows, Linux, or Unix, the SQL, is composed of numerous APIs and libraries, helps to develop MySQL applications. Adopting languages such as C, C++, Java, Python, etc. you can program the data with other clients on a local network or through the internet. The combination of Python and MySQL is considered useful across all systems.
7. The customizable property of MySQL is beneficial to making it platform-independent. MySQL, along with client applications, has the liberty to operate under various operating systems.
8. The high-speed operating tool of MySQL makes it considerably a secure database operating program. Being backed up by numerous benchmark tests, it allows the developer to construct high productivity by using triggers and reserved procedures.
SQL commands
To functionally operate the tool, following are the important commands that are essential in SQL for Data Science:
1. The first command is SQL is CREATE DATABASE. As the name suggests, this command creates a database for you.
Syntax:
CREATE DATABASE name;
USE name;
- The semicolon acts as a terminator here.
- The USE command activates the database that has been created.
- Writing the commands in capital letter will help you distinguish the command from the name of table of values
2. The second command is the CREATE TABLE. This is considered one of the primary commands to set the data correctly for analysis in data science. It can contain a lot of data variables of different data types.
Syntax:
CREATE TABLE name (variable1 data_type1, variable2 data_type2);
- This function will create the table as essential.
3. The third command here is INSERT INTO. This command is used to insert new command into your table.
Syntax:
INSERT INTO name VALUES (value1, value2, value3…..);
- The values that are included must arrange with the assigned data types.
4. The next command is SELECT. This is considered one of the most important commands in SQL for data science. The reason for its high implication is that it is used to extract the particular set of data that is required from the database. It picks a defined column/table and obtains the demanded data.
Explore our Popular Data Science Online Courses
Syntax:
SELECT*FROM table_name
- The command can be adjusted as per utility.
5. Following SELECT is the UPDATE command. This will allow modification of any value that is stored in your table. The WHERE command will select the exact data that you intend to modify.
Syntax:
Update table_name SET variable1=’’ WHERE condition;
6. The DELETE command follows the UPDATE. As the name suggests, it will delete the data from your dataset.
Syntax:
DELETE FROM table WHERE condition;
- The WHERE command will help you define a condition following the delete command to delete the data from the desired data set.
7. The DROP TABLE command functions to delete all the contents of a specified table.
Syntax:
DROP TABLE table_name;
Read our popular Data Science Articles
upGrad’s Exclusive Data Science Webinar for you –
Watch our Webinar on The Future of Consumer Data in an Open Data Economy
Top Data Science Skills to Learn to upskill
SL. No | Top Data Science Skills to Learn | |
1 |
Data Analysis Online Courses | Inferential Statistics Online Courses |
2 |
Hypothesis Testing Online Courses | Logistic Regression Online Courses |
3 |
Linear Regression Courses | Linear Algebra for Analysis Online Courses |
Conclusion
Data Science uses tools to derive, mine, and analyze data to solve business problems. The handling and perception of individual units from the considerable volume of data demand a blend of skills and technology power.
SQL is a querying language tool that aims to manipulate and handle relational databases to manage and analyze the data in specific methods- seeking to derive useful results. It is a smooth management system aimed at simplifying the strenuous process of extracting data from the massive pile of databases by acting as a language communicator between the human operating the collection and the computer system carrying the load. The commands are the language inputs that the other end of the software understands.
Frequently Asked Questions (FAQs)
1. What are some of the drawbacks of using SQL?
SQL has a complex user interface that makes it difficult to use for some people while working with databases. Since certain versions are expensive, programmers are unable to use them. Another disadvantage is that it’s database does not have total control due to hidden business rules.
2. How long does it take to become proficient in SQL?
An average learner should be able to understand the fundamental ideas of SQL and begin working with SQL databases in two to three weeks. However, you'll need to become fairly proficient in order to use them successfully in real-world settings, and that takes time. You can learn SQL in a few weeks if you understand programming and already know a few other programming languages.
3. How is MySQL different from SQL?
MySQL is an open source database and SQL is a language for querying databases. MySQL is an RDBMS that allows users to organize data in a database. SQL is used for accessing, updating, and maintaining data in a database, while MySQL is an RDBMS that allows users to access, update, and maintain data in a database. Since SQL is a language, it does not change (much). Considering MySQL is a piece of software, it gets updated regularly. If you want to create a database that is inexpensive, safe, and dependable, MySQL is the way to go.