Database in Data Science

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Enroll in our free course to learn the basics of using databases in data science. You'll understand how to manage and query data effectively, which is crucial for analyzing large amounts of information. Join now and earn certificates upon completion.

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BASICS

4.39 55.6K+ learners 1 hr

Database Management System

Skills: DBMS Fundamentals, RDBMS Knowledge, Data Management Techniques, Normalization Techniques, ER Diagram Creation, Database Design Skills, Data Querying Proficiency

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Database Normalization

Skills: Introduction to Normalization , 1NF, 2NF, 3NF, 4NF, 5NF,Boyce Codd Normal Form

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4.46 305.1K+ learners 4.5 hrs

End-to-End MySQL: Schema to Subqueries

Skills: DBMS & RDBMS Fundamentals, Keys & Normalization, Installing MySQL, Commands and Operators, Filtering and Pattern Matching

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DML Statements

Skills: Insert Statement, Update Statements, Delete Statements

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Joins in SQL

Skills: Inner Join, Left Join, Right Join, Full Join, SQL Joins, Combine Tables, Hands-On Examples

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4.52 9.5K+ learners 1.5 hrs

Operators in MySQL

Skills: Operators in MySQL

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SQL Triggers for Beginners

Skills: Triggers

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Advanced SQL

Skills: Subqueries, Views, Query Optimization, Pattern Matching, SQL Case

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4.55 55.6K+ learners 3.5 hrs

Oracle SQL

Skills: Java, Java Projects, Real-World Java Applications, Project Based Java Learning, Hands-On Java Project Experience, Beginner Java Projects Ideas, Intermediate Java Projects Ideas, Advanced Java Projects Ideas

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4.51 186.1K+ learners 3 hrs

SQL for Data Science

Skills: Data Analysis, SQL, SQLite, Power BI, SQL With Python, SQL Clauses, GROUP BY Statement, HAVING Clause, Aliases In SQL, Joins in SQL, Subqueries, Python Concepts With SQL

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BASICS

4.38 82.8K+ learners 0.5 hr

SQL Projects for Beginners

Skills: Introduction To Database Management System, Introduction To RDBMS, Keys In RDBMS, SQL Commands, Bank Database Project, Introduction to MySQL

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4.46 36.2K+ learners 1.5 hrs

Analytics with SQL and Python in Hindi

Skills: Data Retrieval Using SQL, SQL Hands-On Session, Data Analysis With Python, Python Project On IPL Dataset, Python Project On FIFA Dataset

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BASICS

Database Management System

4.39 55.6K+ learners 1 hr

Skills: DBMS Fundamentals, RDBMS Knowledge, Data Management Techniques, Normalization Techniques, ER Diagram Creation, Database Design Skills, Data Querying Proficiency

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Database Normalization

4.66 6.9K+ learners 1 hr

Skills: Introduction to Normalization , 1NF, 2NF, 3NF, 4NF, 5NF,Boyce Codd Normal Form

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End-to-End MySQL: Schema to Subqueries

4.46 305.1K+ learners 4.5 hrs

Skills: DBMS & RDBMS Fundamentals, Keys & Normalization, Installing MySQL, Commands and Operators, Filtering and Pattern Matching

BASICS

DML Statements

4.48 5.8K+ learners 1 hr

Skills: Insert Statement, Update Statements, Delete Statements

BASICS

Joins in SQL

4.4 14.4K+ learners 1.5 hrs

Skills: Inner Join, Left Join, Right Join, Full Join, SQL Joins, Combine Tables, Hands-On Examples

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Operators in MySQL

4.52 9.5K+ learners 1.5 hrs

Skills: Operators in MySQL

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SQL Triggers for Beginners

4.48 14.7K+ learners 1 hr

Skills: Triggers

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Advanced SQL

4.49 42K+ learners 1 hr

Skills: Subqueries, Views, Query Optimization, Pattern Matching, SQL Case

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Oracle SQL

4.55 55.6K+ learners 3.5 hrs

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SQL for Data Science

4.51 186.1K+ learners 3 hrs

Skills: Data Analysis, SQL, SQLite, Power BI, SQL With Python, SQL Clauses, GROUP BY Statement, HAVING Clause, Aliases In SQL, Joins in SQL, Subqueries, Python Concepts With SQL

BASICS

SQL Projects for Beginners

4.38 82.8K+ learners 0.5 hr

Skills: Introduction To Database Management System, Introduction To RDBMS, Keys In RDBMS, SQL Commands, Bank Database Project, Introduction to MySQL

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Analytics with SQL and Python in Hindi

4.46 36.2K+ learners 1.5 hrs

Skills: Data Retrieval Using SQL, SQL Hands-On Session, Data Analysis With Python, Python Project On IPL Dataset, Python Project On FIFA Dataset

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4.48 5.8K+ learners 1 hr

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Skills: Insert Statement, Update Statements, Delete Statements

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4.66 6.9K+ learners 1 hr

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Skills: Introduction to Normalization , 1NF, 2NF, 3NF, 4NF, 5NF,Boyce Codd Normal Form

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4.52 9.5K+ learners 1.5 hrs

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Skills: Operators in MySQL

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4.4 14.4K+ learners 1.5 hrs

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Skills: Inner Join, Left Join, Right Join, Full Join, SQL Joins, Combine Tables, Hands-On Examples

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4.48 14.7K+ learners 1 hr

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Skills: DBMS & RDBMS Fundamentals, Keys & Normalization, Installing MySQL, Commands and Operators, Filtering and Pattern Matching

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4.38 82.8K+ learners 0.5 hr

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4.55 55.6K+ learners 3.5 hrs

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4.49 42K+ learners 1 hr

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Skills: Subqueries, Views, Query Optimization, Pattern Matching, SQL Case

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Learner reviews of the Free Database in Data Science Courses

Our learners share their experiences of our courses

4.46

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23%

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Vishal Randhawa

5.0

★★★★ ★

United Arab Emirates

“Great Course with Clear and Practical Concepts”

I found the curriculum to be very well-organized and easy to follow. The lessons were straightforward, and the examples helped in understanding the concepts better. The practical quizzes and assignments were extremely helpful in reinforcing my learning. Overall, it provided a great introduction to database management.

Janhvi Katakdhond

5.0

★★★★ ★

“Great Learning experience about MYSQL”

My learning experience with MySQL has been incredibly rewarding and enriching. The course provided a comprehensive understanding of relational databases, covering fundamental concepts such as data modeling, normalization, and the intricacies of SQL queries. I appreciated the hands-on approach, which allowed me to practice writing complex queries, using joins, and manipulating data effectively. The interactive sessions helped clarify any doubts, and the real-world examples made the content relatable and applicable.

Taslim Jamal Arif

4.0

★★★ ★ ☆

India

“Easy to understand courses. Very well curated”

I recently took a database course, and it exceeded my expectations! The content was easy to follow, making complex concepts accessible. The step-by-step approach and practical examples helped solidify my understanding. The instructor was knowledgeable and engaging, making learning enjoyable. Highly recommend this course for anyone wanting to master databases!

Nixit Jasoliya

5.0

★★★★ ★

India

“The course covered a wide range of topics, from the basics of database management systems to more advanced concepts like normalization and SQL queries. ”

appreciated the emphasis on practical applications. The hands-on projects and exercises provided real-world scenarios that made it easier to understand how to implement database solutions. Working with actual database systems solidified my learning and gave me confidence in applying my skills.

Chovatiya Hetal

5.0

★★★★ ★

United States

“ You could write something like: "Engaging and Comprehensive Learning" "A Practical Approach to Database Management"”

How the hands-on projects helped solidify your understanding. The responsiveness of the instructors to queries. The relevance of the content to real-world applications. Here’s an example response: Tell us more: "I appreciated how the course broke down complex database concepts into manageable segments. The practical exercises allowed me to apply what I learned, and the instructors were always available to clarify doubts. Overall, it was a highly valuable experience that I would recommend to anyone looking to enhance their database management skills."

Jayshree Parde

5.0

★★★★ ★

India

“Comprehensive Review of the Database Management Systems (DBMS) Course”

The DBMS course provided a thorough introduction to the essential concepts of database management systems, from basic relational database theory to advanced SQL programming. It was well-structured, with each module building on the last, making it easy to follow even for beginners.

Dave Ciervo

5.0

★★★★ ★

Philippines

“it is really live up to its name "Great learning" indeed”

for me it is essential for efficient data management, and the goal of this free course is to help in becoming familiar with database management systems. i learn about database management systems and the apps that support them. The relational database management system and its benefits over alternative data management systems will be covered. Also I understand the fundamental ideas of RDBMS. Finally, i learn to normalization procedure and its variations will be covered. You will also thoroughly review the ER diagram.

Bwanika Derrick

5.0

★★★★ ★

“Loved the way learning tools were organized and the explanations”

I was highly impressed by the way the learning tools were organized and presented. The structured approach made the content easily understandable and accessible. Each tool and explanation was meticulously tailored to fit the needs of the learners, ensuring that even complex topics were simplified for better comprehension. Moreover, the instructor’s dedication truly stood out. The commitment to guiding students through every concept, making sure no one was left behind, was exemplary.

Mugisha Abdhul

4.0

★★★ ★ ☆

“I have learned to provide concise and informative responses to various business and SQL related queries ”

I think as a business person, my primary goal is to assist and provide valuable information, this learning has allowed me to demonstrate my knowledge of SQL and database management, share practical tips and examples and learn from your questions and refine my responses Your engagement has helped me improve and l appreciate your time

Swastik Roy Choudhury

5.0

★★★★ ★

India

“Mastering Database Management System”

I’ve successfully mastered database management systems! 🎉 Now I can design, build, and optimize efficient databases.

Meet your faculty

Meet industry experts who will teach you relevant skills in artificial intelligence

Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.

Frequently Asked Questions

What is a database in data science?

In data science, a database is a structured collection of data that supports data storage, retrieval, and management, facilitating practical data analysis and decision-making.

Why are databases important in data science?

Databases are crucial for efficiently managing and querying large volumes of data, allowing data scientists to access and manipulate data quickly and accurately for analysis and modeling.

What types of databases are used in data science?

Data scientists use various types of databases, including relational databases (SQL), NoSQL databases, graph databases, and time-series databases, depending on the nature of the data and the specific requirements of the project.