What is SQL for Data Science: A Comprehensive Guide

We will be using real world data sets for Market data and Company analysis in our comprehensive Database Training Course. This course offers a thorough overview of the key concepts and skills needed to excel in the field of database design, SQL programming in R and Python, and data analysis.

Led by a seasoned Data Scientist with over 13 years of industry experience, our instructor brings a wealth of knowledge and practical insights to the course. You will have the opportunity to learn from their expertise and gain valuable insights into the world of databases.

Throughout the course, you will receive detailed instruction on creating Oracle and MySQL databases. Starting with simple SQL queries, you will gradually progress to more advanced ones, allowing you to develop a strong foundation in SQL programming. You will also learn how to utilize SQL queries in Oracle and MySQL databases, enabling you to effectively retrieve and manipulate data.

In addition to SQL queries, the course covers various other important topics, such as employing filter and having clauses, working with joins and multiple tables, and utilizing aggregators. You will also gain an understanding of how to create DDL commands and modify schema objects, giving you the skills to design and manage databases effectively.

To ensure a hands-on learning experience, you will have the opportunity to set up your own Oracle and MySQL databases on your laptop or desktop. This practical approach allows you to apply your knowledge in a real-world setting and gain confidence in working with databases.

Furthermore, the course emphasizes the importance of data import and export. You will master the art of importing and exporting data to and from external files, enabling you to seamlessly integrate data from various sources into your databases.

Throughout the course, you will have the opportunity to work with real-world data sets for Market data and Company analysis. This practical application of your skills will further enhance your understanding of database concepts and their relevance in real-world scenarios.

By the end of the course, you will have gained expertise in database design, SQL programming in R and Python, and data analysis. You will also have access to the course materials for a lifetime, allowing you to revisit and reinforce your knowledge whenever needed.
Join our Database Training Course and embark on a journey towards becoming a proficient database professional. Expand your skill set and unlock new opportunities in the exciting world of data management and analysis.

1. So far I liked the course and is as per expectations. Recommended for beginners who want to get started with database and sql ~ Avinash R
2. As expected. Recommended for beginners and who are preparing for interviews. Instructor covers basic to complex SQL. I liked the visualisation and integration with R & Python ~ Cesar Y
3. Good concept of sql and database. Instructor explains the concepts in details and covers basic, good for beginners ~ Kuldeep S
4. This course is well detailed. Some of the excercises are interesting and challenging. Recommended for beginners ~ J Asmah
5. Exactly what I was looking for, value for money and recommend for beginners looking to start data analysis career ~ Douglas J
6. It is a great course and I'm learning lot, the course is very well presented, thanks ~ A Ingino
7. This course was very helpful to me. Each and every topic has detailed explaination and easy to learn the concepts ~ Priyanka A
8. Yes definitely this is the course what I was looking for. Kudos to instructor who clearly explains the basics. Quizzes are really helpful ~ Felipe S

1. Start writing simple to the most advanced SQL queries in Oracle and MySQL
2. Create own database in your laptop - Oracle and MySQL
3. Start using SQL queries on powerful R and Python console and plots graph for visualizations and data analysis
4. Start using filter, having clause, joins with multiple tables, aggregators etc.
5. Create DDL commands and modify the schema objects.
6. Import / Export files from and to database
7. Integrate R and Python with Database and execute SQL command on them for data analysis and Visualizations.

1. Passion for Data
2. Beginners who are looking to enhance their data science skills
3. Desktop/Laptop