Aggregate Functions: Perform MySQL operations using count, group by, min, max, sum, and average functions.
"Databases are like gold mines for data scientists. They hold the potential of untapped insights and the power to transform raw data into meaningful information. One way to navigate through this vast amount of data is by using MySQL Aggregate functions. These are special types of functions that help us summarize and manipulate our data, allowing us to extract valuable insights from our data sets. Let's dive into some of these powerful tools.
The Magic of COUNT Function
Imagine you are working for a multinational corporation with thousands of employees worldwide. How can you figure out the total number of employees? This is where the COUNT function comes into play. By simply executing a SQL query like SELECT COUNT(*) FROM Employees;, you can get the total number of employees in no time. The COUNT function provides a simple yet efficient way to determine the size of your data.
Grouping with GROUP BY Clause
Sorting and grouping data is a common task in data analysis. Suppose you want to know the number of employees in each department. The GROUP BY clause is your answer. By executing a SQL command like SELECT Department, COUNT(*) FROM Employees GROUP BY Department;, you can easily group your data based on the departments and find out the number of employees in each department.
Unveiling Minimum and Maximum with MIN and MAX Functions
Have you ever wondered what's the smallest or the largest value of a specific column in your database? The MIN and MAX functions got you covered. For instance, you can find the employee with the lowest and highest salary by using SELECT MIN(Salary) FROM Employees; and SELECT MAX(Salary) FROM Employees; respectively.
Summing up with SUM Function
If you want to find out the total salary expenditure of all employees, the SUM function is your best friend. By using SELECT SUM(Salary) FROM Employees;, you can get a result that adds up all the salaries of your employees.
Calculating the Average with AVG Function
Sometimes, you need to know the average value of a particular column, like the average salary of employees. The AVG function helps you do that. SELECT AVG(Salary) FROM Employees; will give you the average salary of all the employees.
In conclusion, MySQL Aggregate functions are indispensable tools in the hands of a data scientist. They help to summarize, manipulate and give meaning to the vast amount of data stored in relational databases. Whether you are trying to count, group, find min/max, sum up or calculate the average, there's a function out there to help you.
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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