Welcome to our comprehensive SQL course, where you’ll embark on a transformative journey into the dynamic world of database management. In this course, we offer a comprehensive curriculum designed to equip learners with the essential skills and knowledge needed to become proficient in SQL and excel in database management roles. Whether you’re a beginner eager to dive into the fundamentals or an experienced professional seeking to enhance your expertise, our course is tailored to meet your learning needs and aspirations.
Throughout the course, you’ll delve into the foundational principles of relational databases, exploring key concepts such as database creation, modification, and deletion. You’ll gain hands-on experience in managing tables, working with columns and constraints, and executing basic SQL queries to retrieve and manipulate data effectively. Our interactive lessons and practical exercises provide a solid framework for building your understanding of SQL from the ground up.
As you progress, you’ll advance to more complex topics, including indexing operations, handling NULL values, and mastering various aspects of data filtering and manipulation. You’ll explore important MySQL functions for string and arithmetic operations, as well as transformation and date functions essential for comprehensive data analysis. Through real-world examples and hands-on projects, you’ll learn how to apply these concepts in practical scenarios, honing your problem-solving skills and enhancing your analytical capabilities.
In addition to technical proficiency, our course emphasizes the importance of critical thinking and effective communication in database management. You’ll learn how to analyze data strategically, interpret query results, and communicate insights effectively to stakeholders. Our expert instructors provide personalized feedback and guidance, ensuring that you not only understand the concepts but also develop the confidence to apply them in real-world settings.
Upon completing the course, you’ll emerge as a skilled SQL practitioner, ready to tackle the challenges of database management with confidence and proficiency. Whether you’re pursuing a career in data analysis, database administration, or software development, our course equips you with the tools and knowledge needed to succeed in today’s data-driven world. Join us on this exciting journey and unlock your potential in the field of database management.
Important Fundamentals of RDBMS
Introduction to SQL for RDBMS
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3RDBMS: example and importance
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4Key features of RDBMS
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5Primary key v/s Foreign key
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6Types of relationship in RDBMS
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7Data types in RDBMS
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8Important fundamentals on RDBMS
Take this test to sharpen your gained knowledge on the most important theories of relational database management system based on the lessons given.
Starting with MySQL Interface
Database Management in MySQL
Fundamental Queries in SQL
Managing Tables in SQL Database System
Working with Columns and Constraint
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28CREATE: creating table
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29CREATE TABLE
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30NOT NULL: limiting null values
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31NOT NULL
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32UNIQUE: limiting duplicates
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33UNIQUE
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34INSERT INTO: adding values in columns
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35INSERT INTO
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36UPDATE: updating values based on condition
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37UPDATE
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38DELETE: deleting values based on condition
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39DELETE....FROM
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40TRUNCATE: deleting all the values except table
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41TRUNCATE TABLE
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42DROP: removing entire table
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43DROP TABLE
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44CHECK: limiting specific values in columns
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45CHECK
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46Managing Tables in SQL
Working with Indexing Operation
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47ADD COLUMN: adding new column
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48ADD COLUMN
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49MODIFY COLUMN: replacing data types
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50MODIFY COLUMN
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51RENAME COLUMN: changing column names
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52RENAME COLUMN
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53DROP COLUMN: deleting columns
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54DROP COLUMN
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55ADD CONSTRAINT: adding primary key
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56ADD CONSTRAINT
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57ADD CONSTRAINT….REFERENCES: adding foreign key
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58ADD CONSTRAINT.......REFERENCES
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59DROP CONSTRAINT: deleting keys
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60DROP CONSTRAINT
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61Working with Columns and Constraint
Dealing with NULL/MISSING values
Various Aspects of Filtering Data
IMPORTANT MySQL String Functions
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74AND: combining two or more conditions
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75AND
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76OR: flexible logical operator
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77OR.
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78NOT: excluding values from filteration
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79NOT
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80BETWEEN...AND: filtering ranges of values
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81BETWEEN...AND
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82LIKE: filtering based on pattern
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83LIKE
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84IN: precise logic for multiple conditions
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85IN.
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86LIMIT: filtering with limited data
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87LIMIT
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88Various Aspects of Filtering Data