Data Science Course Notes
Enhance your learning journey with in-depth data science lecture notes. Deepen your understanding of core concepts in data science, statistics, probability, Python, and machine learning.Course notes are the perfect complementary online data science study materials. They help you grasp fundamental concepts, refresh your memory when preparing for exams, and get a taste of our learning style.
Committed to your career success and development, we at 365 Data Science support you throughout your learning journey with free resources designed to enhance and guide your education. Our rich selection covers everything from data science notes for beginners to simplified explanations of advanced topics. Choose a subject you wish to master, download our free PDF course notes, and start learning.
SQL DELETE Statement Notes
Our SQL DELETE Statement notes provide a comprehensive guide to the SQL DELETE Statement—essential for removing unwanted data from your databases. What is the SQL DELETE Statement? The SQL DELETE statement is a fundamental SQL command that deletes existing records in a database. These notes explain the syntax needed to write effective DELETE SQL queries. You’ll learn about the DELETE FROM WHERE conditions command, which allows you to specify the exact SQL rows to delete. Understanding how to delete a row in SQL is crucial for maintaining clean and efficient databases. One of the critical aspects covered in these notes is the ON DELETE CASCADE option, which is part of the foreign key constraint. This option ensures that if a specific value from the parent table’s primary key is deleted, all corresponding records in the child table will also be removed. This feature is essential for maintaining referential integrity within your database. The notes also compare the SQL DELETE command with other SQL commands for removing data, such as TRUNCATE and DROP. The section on TRUNCATE vs DELETE highlights the differences in performance and usage scenarios between these two commands. The DROP vs TRUNCATE vs DELETE section also provides insights into when to use each command for optimal database management.
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SQL UPDATE Statement Notes
Our SQL UPDATE Statement notes offer a comprehensive guide to the SQL UPDATE Statement—essential for modifying existing data in your databases. What is the SQL UPDATE Statement? The SQL UPDATE is a crucial SQL command used to modify existing records in a database. These notes provide detailed information on the syntax needed to write effective SQL UPDATE statements. You learn about the UPDATE table_name SET column_1 = value_1 command, which allows you to update specific columns, and the SQL WHERE condition, which ensures you only update the desired records. Additionally, this guide covers SQL best practices for handling database updates to provide accurate and efficient data management. You can execute precise and controlled updates by mastering the SQL UPDATE syntax and understanding the use of TCL commands. The notes explore the TCL COMMIT and TCL ROLLBACK commands—essential for managing transactions in SQL. The COMMIT statement saves the transaction in the database, while the ROLLBACK clause allows you to revert to the last committed state, ensuring your data remains consistent and accurate.
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SQL Insert Statement Notes
Our SQL INSERT Statement Notes offer a comprehensive guide to the SQL INSERT Statement—essential for adding new data to your databases. What is the SQL INSERT Statement? The SQL INSERT statement is a vital SQL command to add new records to a database. This resource provides detailed information on the syntax needed to write effective INSERT statements. You can learn how to update your database and add new information, including the INSERT INTO statement—allowing you to add data to specific columns—and the INSERT INTO SELECT command, which facilitates inserting data from one table into another. Download these SQL INSERT Statement notes to thoroughly understand one of SQL's most essential commands. With this resource, you'll confidently manage and add data to databases—ensuring your data management practices are efficient and effective.
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SQL SELECT Statement Notes
Our SQL Select Statement notes offer an in-depth exploration of the SQL SELECT statement—essential for effectively querying and retrieving data from databases. What is the SQL Select Statement? The SQL SELECT statement is fundamental in SQL—allowing you to extract specific data from a database. This resource covers the core syntax required to write effective SELECT statements, including using SELECT FROM and the WHERE clause to filter data. You learn about the AND operator and OR operator for combining multiple conditions and understand operator precedence to ensure your queries return the correct results. Additionally, this resource explains how to use wildcard characters to search for patterns within your data and the BETWEEN AND clause for selecting values within a specific range. The IS NULL and IS NOT NULL conditions help you handle missing data, while various comparison operators allow precise data filtering.
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SQL Syntax & Theory Notes
SQL (Structured Query Language) encompasses a wide array of SQL commands that allow for comprehensive management and manipulation of databases. This resource explores the intricacies of SQL syntax and SQL commands, detailing: Data Definition Language (DDL) Data Manipulation Language (DML) Data Control Language (DCL) Transaction Control Language (TCL) It offers comprehensive insights into interacting with database objects. Key topics cover SQL syntax fundamentals—including basic structure and rules for crafting queries, essential SQL keywords for mastering SQL operations—and various statement types like CREATE, ALTER, DROP, RENAME, and TRUNCATE. By mastering these SQL commands and SQL keywords, you'll be well-prepared to handle any database-related task efficiently.
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SQL Notes: Basics
Our SQL Basics Resource offers a comprehensive overview of essential SQL concepts and commands—crucial for anyone looking to master database management and manipulation. Download our free SQL PDF and get started with SQL notes to help you understand the core of this essential query language. What is SQL? SQL (Structured Query Language) is the standard language for managing and manipulating databases. These SQL notes explore the language’s core elements, such as SQL Query Structure and essential commands for effective database interaction. They introduce: Data Definition Language (DDL) Data Manipulation Language (DML) Data Control Language (DCL) Transaction Control Language (TCL). This guide covers SQL Syntax—essential structures and rules for crafting queries. Learn to: Retrieve data with the SQL SELECT statement. Modify data using the SQL UPDATE statement. Add new entries with the SQL INSERT statement. Remove data via the SQL DELETE statement. You’ll also find information on SQL keywords, helping you familiarize yourself with essential terms and their uses. Additional topics include GROUP BY and HAVING—exploring grouping data and filtering group results—and the WHERE clause, which explains how to specify conditions for data retrieval. Explore SQL operators and SQL wildcards to refine queries, including SQL BETWEEN and SQL comparison operators for range-based selection and comparisons. This resource also explains SQL DISTINCT for filtering unique values and the distinctions between SQL TRUNCATE and SQL DELETE, which detail methods for removing data and deleting tables. The SQL PDF covers SQL GRANT and REVOKE for user permissions and database security, along with SQL database administration techniques for effectively managing and maintaining your databases.
Learn MoreCheck out our most helpful downloadable data science course notes according to our students and expert team of instructors—available for free in PDF format.
Statistics
Before we can build machine learning algorithms or extract valuable insight from our data we need to transform the raw data into an understandable format and check its quality. In other words, we need to do data preprocessing, which requires statistical knowledge every step along the way. Therefore, learning statistics is a must-have skill when doing data science. In these free pdf course notes, we will be covering the fundamentals of statistics, the different types of distributions, confidence intervals and respective formulas, calculation of covariance and correlation, hypotheses testing, and much more
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Intro to Python
Python is the top programming language in both the TIOBE and PYPL Index, making it one of the most popular programming languages worldwide. This is all thanks to its intuitive, beginner-friendly syntax and wide range of real-world applications like web development, scientific computing, game development, AI & machine learning, graphic design etc. But before you can dwell in this vast world of possibilities, you need to learn the basics of Python. We introduce you the free pdf Intro to Python course notes where you will learn basic Python syntax, how to create and use functions, conditional statements , iteration and much more.
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Probability
We use the intuitive concept of probability on a daily basis in our lives, just by the mere fact that we live in constant uncertainty. Data Science is one of the fields where we need to have conscious mastery and understanding of probability – the backbone of many important data science concepts. If you want to adopt the probabilistic mindset then check out our free pdf course notes which will teach you the basics of probability, combinatorics, Bayesian Notation, discrete distributions, continuous distributions, setting up and solving integrals and expressing complex formulas in Wolfram Alpha.
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Data Strategy
Companies that sit on treasure troves of data but have no defined or bad data strategy not only fail to collect dividends from their wealth of data, but also incur great financial and reputational losses. In these free pdf course notes on Data Strategy, you will learn what is the purpose of a company’s data strategy, how data strategy helps build competitive advantage, how to create technology and data infrastructures that support business growth and much more.
Learn MoreMost Popular Course Notes
Check out our most helpful downloadable data science course notes according to our students and expert team of instructors—available for free in PDF format.
Statistics
Before we can build machine learning algorithms or extract valuable insight from our data we need to transform the raw data into an understandable format and check its quality. In other words, we need to do data preprocessing, which requires statistical knowledge every step along the way. Therefore, learning statistics is a must-have skill when doing data science. In these free pdf course notes, we will be covering the fundamentals of statistics, the different types of distributions, confidence intervals and respective formulas, calculation of covariance and correlation, hypotheses testing, and much more
Learn MoreIntro to Python
Python is the top programming language in both the TIOBE and PYPL Index, making it one of the most popular programming languages worldwide. This is all thanks to its intuitive, beginner-friendly syntax and wide range of real-world applications like web development, scientific computing, game development, AI & machine learning, graphic design etc. But before you can dwell in this vast world of possibilities, you need to learn the basics of Python. We introduce you the free pdf Intro to Python course notes where you will learn basic Python syntax, how to create and use functions, conditional statements , iteration and much more.
Learn MoreProbability
We use the intuitive concept of probability on a daily basis in our lives, just by the mere fact that we live in constant uncertainty. Data Science is one of the fields where we need to have conscious mastery and understanding of probability – the backbone of many important data science concepts. If you want to adopt the probabilistic mindset then check out our free pdf course notes which will teach you the basics of probability, combinatorics, Bayesian Notation, discrete distributions, continuous distributions, setting up and solving integrals and expressing complex formulas in Wolfram Alpha.
Learn MoreData Strategy
Companies that sit on treasure troves of data but have no defined or bad data strategy not only fail to collect dividends from their wealth of data, but also incur great financial and reputational losses. In these free pdf course notes on Data Strategy, you will learn what is the purpose of a company’s data strategy, how data strategy helps build competitive advantage, how to create technology and data infrastructures that support business growth and much more.
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