Conditional Statements and Operators: Perform MySQL operations using not equal, not like, greater than, less than, logical AND, logical OR, between.
Learning about Conditional Statements and Operators in MySQL
An essential aspect of any database management system is its ability to extract specific data based on certain conditions. This is where the use of conditional statements and operators comes in, particularly in MySQL. With commands like not equal, not like, greater than, less than, logical AND, logical OR, between, in, not in, and case, we can craft complex queries to retrieve precise pieces of data. :mag_right: :computer:
Not Equal and Not Like Operators in MySQL
In MySQL, the not equal operator is symbolized as <> or !=. It fetches results where the values are not equal to the specified condition.
SELECT * FROM Employees WHERE Salary <> 50000;
The not like operator is used to filter results where a specified pattern is not present.
SELECT * FROM Employees WHERE Name NOT LIKE 'A%';
Greater Than, Less Than, Logical AND, and Logical OR
The greater than (>) and less than (<) operators are used to compare numerical values, dates, and times.
SELECT * FROM Employees WHERE Joining_Date < '2022-01-01';
Logical AND and Logical OR are used to combine multiple conditions.
SELECT * FROM Employees WHERE Salary > 50000 AND Position = 'Manager';
SELECT * FROM Employees WHERE Salary > 50000 OR Position = 'Manager';
BETWEEN, IN, NOT IN Operators
The between operator is used when you need data within a specified range.
SELECT * FROM Orders WHERE OrderDate BETWEEN '2020-01-01' AND '2022-01-01';
The in operator is used to specify multiple potential values for a column.
SELECT * FROM Customers WHERE Country IN ('USA', 'Canada');
The not in operator is used to specify multiple values that you do not want to include in the results.
SELECT * FROM Customers WHERE Country NOT IN ('USA', 'Canada');
Conditional Operations with CASE Statements
The case statement in MySQL is a control flow structure that allows complex conditional queries.
SELECT OrderID, Quantity,
CASE
WHEN Quantity > 30 THEN 'Over 30'
WHEN Quantity = 30 THEN 'Exactly 30'
ELSE 'Under 30'
END
FROM OrderDetails;
These diverse operators and statements provide the flexibility needed to navigate a complex data landscape. As a data scientist, mastering them is essential as it will streamline your data management processes and enhance your productivity. :rocket: :bar_chart:
Class Sessions
1- Introduction
2- Models of data communication and computer networks: Analyse the models used in data communication and computer networks.
3- Hierarchical computer networks: Analyse the different layers in hierarchical computer networks.
4- IP addressing in computer networks: Set up IP addressing in a computer network.
5- Static and dynamic routing: Set up static and dynamic routing in a computer network.
6- Network traffic management and control: Manage and control network traffic in a computer network.
7- Network troubleshooting: Diagnose and fix network problems.
8- Introduction
9- Concepts and sources of big data.
10- Recommendation systems, sentiment analysis, and computational advertising.
11- Big data types: streaming data, unstructured data, large textual data.
12- Techniques in data analytics.
13- Problems associated with large data sets used in applied analytical models.
14- Approaches to visualize the output from an enforced analytical model.
15- Big data processing platforms and tools.
16- Performing simple data processing tasks on a big data set using tools
17- Introduction
18- Relational Database Management Systems: Analyze the concepts and architecture of a relational database management system.
19- Entity Relationship Model: Analyze the components of an entity relationship model.
20- Relational Model: Analyze relation, record, field, and keys in a relational model.
21- ER to Relational Model Conversion: Perform a conversion from an ER model to the relational model.
22- Functional Dependency: Analyze the concepts of closure sets, closure operation, trivial, non-trivial, and semi-trivial functional dependencies.
23- Normal Forms: Analyze the concepts of lossless, attribute-preserving, and functional-dependency-preserving decomposition, and first normal form.
24- Installation of Programming Languages and Databases: Install MySQL and phpMyAdmin and install Java and Python programming languages.
25- CRUD Operations: Perform create, read, update, delete (CRUD) operations in MySQL.
26- MySQL Operations: Perform MySQL operations using CONCAT, SUBSTRING, REPLACE, REVERSE, CHAR LENGTH, UPPER, and LOWER commands.
27- Aggregate Functions: Perform MySQL operations using count, group by, min, max, sum, and average functions.
28- Conditional Statements and Operators: Perform MySQL operations using not equal, not like, greater than, less than, logical AND, logical OR.
29- Join Operations: Perform MySQL operation.
30- Introduction
31- Historical development of databases: Analyze the evolution of technological infrastructures in relation to the development of databases.
32- Impact of the internet, the world-wide web, cloud computing, and e-commerce: Analyze the impact of these technologies on modern organizations.
33- Strategic management information system (MIS): Analyze the characteristics and impact of a strategic MIS.
34- Information systems for value-added change: Analyze how information systems can support value-added change in organizations.
35- Functionality of information communication technology: Analyze the functionality offered by information communication technology and its implications.
36- International, ethical, and social problems of managing information systems: Define the international, ethical, and social problems associated.
37- Security and legislative issues in building management information systems: Define the security and legislative issues related to building MIS.
38- Security and legislative issues in implementing management information systems: Define the security and legislative issues related to implementing MIS.
39- Security and legislative issues in maintenance.
40- Introduction
41- Ethical concepts in computing: Analyse common ethical concepts and theories in computing.
42- Laws and social issues in information technology: Analyse laws and social issues in areas including privacy, encryption, and freedom of speech.
43- Intellectual property and computer crime: Analyse the laws relating to trade secrets, patents, copyright, fair use and restrictions, peer-to-peer.
44- Data privacy: Define data privacy and analyse the types of data included in data privacy.
45- Ethical theories and the U.S. legal system: Analyse philosophical perspectives such as utilitarianism versus deontological ethics and the basics.
46- Ethical dilemmas in information technology: Apply ethical concepts and an analytical process to common dilemmas found in the information technology.
47- Impacts of intellectual property theft and computer crime: Analyse the impacts of intellectual property theft and computer crime.
48- Ethics in artificial intelligence (AI): Analyse the ethics in AI, including autonomous vehicles and autonomous weapon systems.
49- Ethics in robotics: Analyse the ethics in robotics, including robots in healthcare.
50- Introduction
51- Technologies involved in building a secure e-commerce site.
52- Common problems faced by e-commerce sites.
53- Requirements analysis and specification for an e-commerce project.
54- Writing a project proposal and creating a presentation.
55- Front-end development tools, frameworks, and languages.
56- Back-end development languages, frameworks, and databases.
57- Application of software development methodologies.
58- Creating a project report and user documentation.
59- Delivering structured presentations on the software solution.
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